# data[].attributes.body
"Self-care means taking the time to do things that help you live well and improve both your physical health and mental health" (Avinity, 2023, para. 2).

# data[].attributes.body
Develop an understanding of the importance of screening for suicide risk and mental health disorders as well as self-care deficit.

Utilize evidence-based practice to improve local health outcomes by having local resources for mental health treatment and crisis intervention services.

Understand how to implement the mobile crisis unit and mental health crisis line.

Provide justification to the value of mental health and self-care services.

# data[].attributes.body
The Study: Domestic violence victims in shelters: What do we know about their mental health? (2018)
What's Important?

They found that:

Suicide had been attempted at least once by 59.3% of participants.

Out of these participants, 65.7% stated they had attempted suicide after the violence had begun.

Participants were exposed to emotional, verbal, and economic abuse simultaneously. The percentage of those were experienced sexual violence was 78%.

When comparing the suicide attempts with emotion neglect, abuse, and physical abuse there was a significant relationship found of (p=0.002, p=0.002 and p=0.013,) (Akyazi et al., 2018).

# data[].attributes.body
The Study: The relationship between domestic violence against women and suicide risk. (2018)
What's Important?
They found that:

“The purpose of this study is to examine the relationship between domestic violence against women and suicide risk” (Kavak et al., 2018, p. 574).

The study found that DV level of the women were high and the risk for suicide was moderate. A positive correlation was determined between the DVS subscale and the total mean scores of the suicide risk (p<.05). It can be concluded that as women’s exposure to DV increased, the risk for suicide also increased (Kavak et al., 2018).

# data[].attributes.body
The Study: Examining the impact of duration, connection, and dosage of domestic violence services on survivor well-being. (2022).
What's Important?

Research was completed to further investigate the role of survivor advocacy and service duration on DV survivors physical and mental health, needs, and safety (Wood et al., 2022).

The study found that survivors had 72% of their expressed needs met either by the DV program or referral. 75.8% of survivors reported that abuse decreased since they started using DV services. Over 56% of participants reported that they had 4 or more PTSD symptoms. Feelings that a survivor connected with an advocate were high. On average, survivors spent just over 2 hours a week with advocate services. 40% reported engaging in mental health services. Regression modeling indicated longer service duration (p 0.031) and increased connection with advocates (p.004) with being positive associated to getting needs met (Wood et al., 2022).

# data[].attributes.body
Those who had ever experienced IPV were more likely to be underweight (Adhikari et al., 2020).

Survivors are experiencing low food security at higher rates (53.8%) than the U.S. average (11.5). The relationship between mental health and food security for survivors shows a positive correlation with PTSD, depression, disability, trouble concentration, decreased well-being, as well as a lack of hope (Brandhorst & Clark, 2022).

Study results indicate that there is a need to further build within to respond to mental health needs of survivors. The results also indicate that there is a need for DV agencies to implement and integrate trauma informed care that promote healing when working with DV survivors who also have mental health disability (Mengo et al., 2020).

# data[].attributes.body
National Sexual Violence Resource Center
Fact Sheet Links Between Violence and Mental Health.pdf (preventioninstitute.org)

# data[].attributes.body
Le, L. K., Esturas, A. C., Mihalopoulos, C., Chiotelis, O., Bucholc, J., Chatterton, M. L., & Engel, L. (2021). Cost-effectiveness evidence of mental health prevention and promotion interventions: A systematic review of economic evaluations. PLoS medicine, 18(5), e1003606. https://doi.org/10.1371/journal.pmed.1003606

A summary of evidence was completed on the cost-effectiveness of mental health promotion and prevention interventions from 2008 to current (time of article 2020).

They identified 65 unique studies, of which, 23 targeted children and adolescents, 35 targeted adults, while the remaining targeted older adults.

"The majority of the studies consistently found that interventions for mental health prevention and promotion were cost-effective or cost saving. The review found that targeted prevention was likely to be cost-effective compared to universal prevention" (Le et al., 2021).

# data[].attributes.attachment_link.readable_text
Long Khanh-Dao Le, Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Writing - original draft, Writing - review & editing,* Adrian Cuevas Esturas, Conceptualization, Formal analysis, Methodology, Project administration, Writing - original draft, Writing - review & editing, Cathrine Mihalopoulos, Conceptualization, Funding acquisition, Investigation, Supervision, Writing - review & editing, Oxana Chiotelis, Data curation, Formal analysis, Project administration, Writing - review & editing, Jessica Bucholc, Conceptualization, Data curation, Funding acquisition, Writing - review & editing, Mary Lou Chatterton, Formal analysis, Methodology, Validation, Writing - review & editing, and Lidia Engel, Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing - original draft, Writing - review & editing

Vikram Patel, Academic Editor

Abstract

Background

The prevention of mental disorders and promotion of mental health and well-being are growing fields. Whether mental health promotion and prevention interventions provide value for money in children, adolescents, adults, and older adults is unclear. The aim of the current study is to update 2 existing reviews of cost-effectiveness studies in this field in order to determine whether such interventions are cost-effective.

Methods and findings

Electronic databases (including MEDLINE, PsycINFO, CINAHL, and EconLit through EBSCO and Embase) were searched for published cost-effectiveness studies of prevention of mental disorders and promotion of mental health and well-being from 2008 to 2020. The quality of studies was assessed using the Quality of Health Economic Studies Instrument (QHES). The protocol was registered with PROSPERO (# CRD42019127778). The primary outcomes were incremental cost-effectiveness ratio (ICER) or return on investment (ROI) ratio across all studies.

A total of 65 studies met the inclusion criteria of a full economic evaluation, of which, 23 targeted children and adolescents, 35 targeted adults, while the remaining targeted older adults. A large number of studies focused on prevention of depression and/or anxiety disorders, followed by promotion of mental health and well-being and other mental disorders. Although there was high heterogeneity in terms of the design among included economic evaluations, most studies consistently found that interventions for mental health prevention and promotion were cost-effective or cost saving. The review found that targeted prevention was likely to be cost-effective compared to universal prevention. Screening plus psychological interventions (e.g., cognitive behavioural therapy [CBT]) at school were the most cost-effective interventions for prevention of mental disorders in children and adolescents, while parenting interventions and workplace interventions had good evidence in mental health promotion. There is inconclusive evidence for preventive interventions for mental disorders or mental health promotion in older adults. While studies were of general high quality, there was limited evidence available from low- and middle-income countries.

The review was limited to studies where mental health was the primary outcome and may have missed general health promoting strategies that could also prevent mental disorder or promote mental health. Some ROI studies might not be included given that these studies are commonly published in grey literature rather than in the academic literature.

Conclusions

Our review found a significant growth of economic evaluations in prevention of mental disorders or promotion of mental health and well-being over the last 10 years. Although several interventions for mental health prevention and promotion provide good value for money, the varied quality as well as methodologies used in economic evaluations limit the generalisability of conclusions about cost-effectiveness. However, the finding that the majority of studies especially in children, adolescents, and adults demonstrated good value for money is promising. Research on cost-effectiveness in low-middle income settings is required.

Author summary

Why was this study done?

Mental health disorders have substantial health and productivity impacts, associated with significant cost to families and the affected individual.

Promoting positive mental health and preventing mental illness have become key priority goals across various jurisdictions.

The current review will answer a critical question whether health promotion and prevention interventions provide value for money in children, adolescents, adults, and older adults.

What did the researchers do and find?

This review summarised evidence on the cost-effectiveness of mental health promotion and prevention interventions from 2008 onwards.

We identified 65 unique studies, of which, 23 targeted children and adolescents, 35 targeted adults, while the remaining targeted older adults.

In children and adolescents, screening plus psychological interventions at school were identified as the most cost-effective interventions for prevention of mental disorders, while parenting interventions had good evidence for mental health promotion. In adults, strong evidence supported screening plus psychological interventions for mental disorder prevention, while workplace interventions targeting employees in general were cost-effective. There is inconclusive evidence for preventive interventions for mental disorders or mental health promotion in older adults.

What do these findings mean?

The majority of the studies consistently found that interventions for mental health prevention and promotion were cost-effective or cost saving. The review found that targeted prevention was likely to be cost-effective compared to universal prevention.

While studies were of general high quality, there was limited evidence available from low- and middle-income countries, and additional cost-effectiveness studies from these settings are needed.

Findings of this review should be considered in light of the fact that return on investment (ROI) reports published by governmental agencies are often not published in peer-reviewed literature and thus, may not have been included, but also have the potential to inform on this question.

The large-scale implementation of mental health promotion and prevention interventions requires consideration beyond cost-effectiveness outcomes.

Introduction

Mental health is defined as "a state of well-being in which the individual realises his or her own abilities, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community" [ 1]. Promoting positive mental health and preventing mental illness have become key priority goals across various jurisdictions. The aim of mental health promotion is to increase mental well-being, enhance positive mental health, and empower individuals and communities [ 2]. Mental illness prevention, on the other hand, focuses on the causes or risk factors of mental illness and aims to reduce the incidence, prevalence, or seriousness of mental health problems, symptoms, and disorders. A commonly used preventive framework in the mental health area was conceptualised by Mrazek and Haggerty, which identified 3 categories of prevention activities: (i) universal (targeting the general population); (ii) selective (targeting high-risk groups); and (iii) indicated (targeting high-risk individuals or groups already displaying symptoms of illness but not meeting full diagnostic criteria) [ 3]. Apart from high burden of disease [ 4], mental health disorders have substantial healthcare and productivity impacts, as well as significant cost to families and the affected individual that are viewed as an increasingly recognised economic problem in every country. Mental disorders cost approximately €400 billion in Europe every year [ 5]. In Australia, around $9.9 billion was spent largely on mental health treatment in 2017 to 2018 [ 6]. This accounts for 7.6% of the national health spending-while this is not a large proportion of spending compared to the burden of disease associated with mental disorders, it is nonetheless important that this spending constitutes good value for money. One way of determining whether an intervention presents good value for money and desirable use of healthcare resources is through the conduct of an economic evaluation.

Economic evaluations have become an important tool within the priority setting process, whereby decision-makers allocate resources between existing and/or new healthcare services. An economic evaluation is defined as the comparative analysis of interventions in terms of both their costs and their outcomes [ 7]. There are 4 common types of economic evaluation used in healthcare including cost-minimisation analysis (CMA); cost-effectiveness analysis (CEA); cost-utility analysis (CUA); and cost-benefit analysis (CBA) [ 7]. CMA refers to the situation where the consequences of 2 or more interventions are "broadly equivalent," and the differences between them are the costs of these interventions, which is rarely the case in the real world [ 8]. The distinguishing feature of all other types of economic evaluation is how outcomes (benefits) are measured. CBA measures benefits in monetary terms. More recently, return on investment (ROI) studies have gained interest, which represent a type of CBA by comparing the returns of investing in an intervention with the intervention costs. Compared with CBA, ROIs are limited, as they often do not consider health benefits but only cost offsets within the health sector or other sectors. CEA measures benefits in physical units (e.g., symptom free days), whereas CUA combines both morbidity and mortality into a single unit of measurement, such as a quality-adjusted life year (QALY) gained or a disability-adjusted life year (DALY) averted [ 7]. CUA analyses are the most frequently used economic evaluation frameworks in international health technology agencies such as National Institute for Health and Clinical Excellence (NICE) in the UK or the Pharmaceutical Benefits Advisory Committee in Australia [ 9, 10].

There have been 2 published reviews of economic evaluations of preventive interventions, focusing on the prevention of mental disorders and the promotion of mental health. Zechmeister and colleagues found 7 studies targeting children and adolescents in a wide range of interventions, such as cognitive behavioural therapy (CBT), peer or crisis support, social work intervention, and early child development programmes that have strong evidence of cost-effectiveness [ 11]. Mihalopoulos and Chatterton updated that review and found that even though the evidence on the cost-effectiveness of mental health intervention was markedly increasing, there was often a lack of comparability across studies [ 12]. An important limitation of the review by Mihalopoulos and Chatterton was the focus on preventive interventions for mental disorders and did not include mental health promotion types of interventions as well as ROI studies [ 12]. Given that there is a growing interest in these types of studies for decision-makers and more economic evaluations have been published since the last review, the aim of this study is to provide an update of the current literature on the cost-effectiveness of mental health promotion and prevention interventions across the age spectrum. The current review will answer a critical question whether health promotion and prevention provide value for money compared to no intervention in children, adolescents, adults, and older adults.

Methods

This systematic review adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [ 13] ( S1 PRISMA Checklist) and was registered on the PROSPERO database (registration number: CRD42019127778). The review is an update of 2 previously published reviews conducted by Zechmeister and colleagues [ 11] and Mihalopoulos and Chatterton [ 12]. This review will summarise evidence on the cost-effectiveness of mental health promotion and prevention interventions from 2008 onwards, taking into account the cutoff time point used in Zechmeister and colleagues [ 11].

Identification and selection of studies

An extensive literature search was conducted using electronic databases that included MEDLINE, PsycINFO, CINAHL and EconLit through EBSCO and Embase from January 2008 to October 4, 2020. The search terms used in all these searches were organised into 3 blocks including (i) mental health disorders (e.g., depression, anxiety, and eating disorders [EDs]) and risk factors (e.g., sleep, resilience, and bullying); (ii) promotion and prevention (prevention or promotion); and (iii) economic evaluation (e.g., CEA and CUA). Further details of search terms can be obtained from S1 Table. All citations were imported into an electronic database (Endnote version X8 [ 14]) in which the duplications were eliminated. A screening web tool system, RAYYAN [ 15], was then used for the screening process. The retrieved studies were split into 2 groups; each group of references was screened by 2 reviewers (i.e., group 1 screened by ACE and LE; group 2 screened by ACE and LL). A third reviewer from the other allocated group resolved any variation in decisions.

Studies were included if they undertook an economic evaluation or an ROI study (i.e., at least 2 interventions examining both costs and benefits). This excluded partial economic evaluations (i.e., studies that had no comparator or studies that only focused on costs or benefits but not on both). Furthermore, studies related to treatment rather than prevention or promotion were also excluded. The review also focused on studies that only reported mental health conditions (e.g., anxiety disorder), symptoms (e.g., anxiety level), or risk factors (e.g., bullying) as the primary outcome. Studies published before 2008, not in peer-reviewed journal articles, and in languages other than English were excluded. Included studies were categorised according to children and adolescents (aged 0 to 18), adults (aged 18 to 65), and older adults (aged 65 and above). If a study included a mixed population, it was classified based on the mean age of the population included in the study. Studies were categorised into "prevention," which assessed the cost-effectiveness of an intervention that aimed to reduce the incidence, prevalence, or seriousness of mental health problems and illness, while mental health "promotion" comprised studies that examined the cost-effectiveness of interventions that focused on increasing mental well-being, enhancing positive mental health, and empowering individuals and communities.

Data extraction

Characteristics of the studies were extracted into a standardised table that was adapted from previous reviews of economic evaluations and the review guideline for economic evaluations developed by the Joanna Briggs Institute [ 12, 16- 18]. The data extraction table included characteristics of the population, country, perspective, type of prevention (universal, selective, and indicated prevention), time horizon, type of economic evaluation (i.e., CUA, CEA, CBA, or ROI), study design (i.e., modelled or randomised controlled trial), outcome measures (e.g., QALYs, life years saved, incidence, or severity of clinical outcomes), and cost-effectiveness results (the incremental cost-effectiveness ratio [ICER] or ROI ratio). To make a relevant comparison of the ICERs across the identified studies, all costs were converted into 2020 US dollars. The CCEMG-EPPI-Centre Cost Converter version 1.4 that uses the purchasing power parity approach sourced from the IMF World Economic Outlook database was used to convert all non-US dollar currencies to US dollar currencies [ 19]. For studies that did not report the reference year, an assumption of 2 years prior to the publication date was made as the base year. Data extraction was undertaken by ACE and OC and double-checked by LL and LE. Disagreements were resolved by discussion between 2 review authors (LL and LE).

Data synthesis

Economic findings were synthesised and presented as a narrative summary in conjunction with a tabular summary. Given that there is high heterogeneity in terms of population, intervention, comparator, and outcome as well as economic evaluation frameworks across included studies, a meta-analysis was not conducted. Instead, the dominance ranking framework (or permutation matrix) presenting the distribution of studies across 9 possible outcomes in terms of costs and effectiveness was adapted from the systematic review of economic evaluation guidelines developed by the Joanna Briggs Institute [ 18]. In the dominance raking framework, colour coding was used to indicate implications for decision-makers. A "red" coding shows the situation in which a decision is less favoured or rejected by decision-makers (i.e., costs are higher, and the intervention is less effective). A "green" code indicates the case in which the intervention is strongly favoured (i.e., has better health outcomes and lower costs). A "yellow" coding shows that there is no obvious decision that the intervention is more effective and more costly or less effective and less costly). That is, some form of financial or clinical trade-off is required or a value for money threshold to determine whether the intervention is cost-effective. In cases where an economic evaluation evaluates 2 or more interventions compared to a control, results for each intervention versus no intervention or wait list control was reported separately in the dominance framework table. Similarly, if the study reported results by different perspectives or for different outcome measures, results were reported separately and were ranked "unclear" if the results were conflicting.

Quality assessment

The Quality of Health Economic Studies Instrument (QHES) was used to assess the quality of included studies [ 20]. The checklist consists of 16 questions, to be answered with yes or no, and each question is weighted based on importance. Given the lack of a "not applicable" option in the original QHES, we decided that if a question from the QHES was not applicable for a particular study (e.g., the study was a trial-based economic evaluation while the question was related to modelled evaluations), this question was answered with "yes." Regarding the inclusion of 2 or 3 questions in one assessment criterion in the QHES, studies that partly met a criterion did not achieve a score. The quality score was calculated by adding up all of the points for the questions answered "yes." Cutoff points were used to determine the quality: 0 to 24 (extremely poor quality); 25 to 49 (poor quality); 50 to 74 (fair quality); and 75 to 100 (high quality). Quality assessment was undertaken by ACE and OC and double-checked by LL and LE. Disagreements were resolved by discussion between 2 review authors (LL and LE).

Results

The literature search identified 4,604 articles. After excluding duplicate studies, 2,822 studies remained for title and abstract screening. The screening based on title and abstract resulted in 138 eligible studies for full-text screening. Most studies were then excluded because they did not meet the "full economic evaluation" criterion, were not primary studies reporting results of an economic evaluation (e.g., reviews), or focused on treatment rather than prevention or promotion. After the full-text screening, 65 studies were included for data extraction and quality assessment. Further details are presented in the PRISMA flow diagram ( Fig 1 ).

Characteristics and main findings of included studies

Children and adolescents (<18 years)

Table 1 presents the characteristics and main findings of studies focused on children and adolescents. There were 23 studies that evaluated the cost-effectiveness of 33 active interventions for mental health prevention and promotion versus no intervention or wait list control in those aged under 18 years. Studies were conducted in the following countries: US ( n = 6), Australia ( n = 7), Sweden ( n = 5), UK ( n = 2), the Netherlands ( n = 2), and multinational ( n = 1). The most common primary method of economic evaluation used was CEA ( n = 7) followed by CUA ( n = 7) and ROI ( n = 3). Six studies conducted multiple evaluations (CEA + CUA). Most studies ( n = 12) adopted a societal perspective and a time horizon of 1 year ( n = 5) or 2 years ( n = 5), with only 1 study using a time horizon of less than a year. Half of the studies focused on preventive interventions for depression and/or anxiety disorders, followed by mental health promotion (4 studies), suicide (4 studies), EDs (2 studies), and cannabis use (1 study).

Table 1

Lead author (year), country

Targeted mental risk factor or condition/disorder

Population description (universal, targeted)

Intervention(s) and comparator (setting, individual or group-based, parenting)

Evaluation type

Study design (trial (n =) or model)

Perspective, time horizon

Year of pricing, discount rates

Cost categories

Outcomes

Results
ICERs (in 2020 US$ value)a

Limitations

Quality scoreb

Philipsson and colleagues (2013) [ 95], Sweden

Depression
Anxiety

Adolescent girls aged 13-18 with internalising problems (targeted)

Physical intervention (dance)
Usual care

CUA

RCT ( n = 112)

Societal perspective, 20 months

2011, 3%

Intervention costs and cost savings

QALYs

ICER = US$3,830 ($4,515) per QALY gained

QoL differs between 2 groups at baseline

100

Lynch and colleagues (2019) [ 28], US

Depression

Youths, aged 13-17 with subsyndromal depressive symptoms (targeted)

CBP
Usual care

CEA
CUA

RCT
( n = 316)

Health and public service perspective; 2 years (33 months post = randomisation)

Not stated (assumed 2017), 3%

Intervention costs, healthcare costs, family costs (parents time cost), school services, and juvenile costs

DFDs
QALYs

ICER = $12,787 ($13,586) per QALY
ICER = $14 ($15) per $DFD

Use of indirect methods for translating DFDs into QALYs; 30% missing data; workplace outcomes not considered

93

Ssegonja and colleagues (2020) [ 25], Sweden

Depression

Adolescents at a start age of 15 years with subsyndromal depression (targeted)

GB-CBT compared with "no intervention"

CEA
CUA

Model

Healthcare and limited societal perspective, 5 and 10 years

2018 (US$), 3% for costs and effects

Intervention costs, direct healthcare costs, indirect costs

Cases of depression prevented, QALYs

GB-CBT is dominant (less costly and more effective)

Assumed a constant annual rate of decay of the treatment effect over time; biases in studies from which input parameters were sourced; spillover effects and side effects not considered

100

Simon and colleagues (2012) [ 96], the Netherlands

Anxiety

High anxious children aged 8-12 (targeted)

Child-focused CBT
Parent-focused CBT
Nonintervention

CEA

RCT ( n = 139)

Societal perspective, 2 years

2008, 4% for costs

Intervention costs, healthcare cost savings

Proportion of ADIS improved children

ICER
Child focused vs. no intervention: €2,987 ($4,257) per "ADIS improved" child
Parent focused vs. no intervention: cost saving (less costly and more effective)

The ADIS might not be appropriate in preventive context
Lower educated mothers dropped out
Professional training cost was not included

100

Simon and colleagues (2013) [ 21], the Netherlands

Anxiety

High anxious children aged 8-12 (targeted)

Child-focused CBT
Parent-focused CBT
Parent OR child-focused CBT
Nonintervention

CEA

Model

Societal perspective, 2 years

2012, 4% for costs

Intervention costs, healthcare costs savings

Proportion of ADIS improved children

Child or parent-focused CBT (based on parental anxiety) was identified as the most cost-effective intervention, with an ICER of €107 ($147) per "ADIS improved" child compared to no intervention

No probabilistic analysis
2-week cost data to extrapolate 1-year cost

100

Ahern and colleagues (2018) [ 32], Europe

Suicide

Adolescents between 11 and 17 (universal + targeted)

Universal CBT (school based)
Indicated school based
Screening intervention
Do nothing

CEA
CUA

RCT ( n = 11,110)

Payer's perspective, 1 year

2010, no discount

Intervention costs

Incident suicide attempt
AND
Incident severe suicidal ideation with suicide plans
AND
QALYs

Universal CBT > Screening > Indicated school based.
CEA: ICER ($ per 1% point reduction in incident of suicide attempt)
Universal CBT vs. control: €35 ($56)
Indicated school based: €90 ($137)
Screening: €52 ($79)
CUA: ICER ($ per QALY gained):
Universal CBT vs. control: €47,017 ($75,524)
Indicated school based: €120,567 ($182,933)
Screening: €64,050 ($97,181)

Mapping utility from SDQ to CHU-9D
Cost and outcome data was pooled from 10 European countries and did not reflect country variation level

92

Kinchin and colleagues (2020) [ 31], Australia

Suicide

Adolescent (15-16 years) (universal)

SafeTALK (3-hour education session)
Status quo

ROI

Model

Health and justice systems
Societal, 5 years

2014, 5%

Intervention costs, healthcare and non-healthcare saving

Cost saving

Health and justice:
Mackay: ROI = 1.45
Queensland ROI = 0.19
Australia ROI = 0.15
Societal:
Mackay: ROI = 31.2
Queensland ROI = 4.1
Australia ROI = 3.3

Effectiveness sourced from Signs of Suicide programme
Did not account reattempted suicide
Coronial inquiry, police, and ambulance costs were sourced from literature
Probabilistic sensitivity analysis
was not preformed

90

Gray and colleagues (2011) [ 29], US

Suicide

Males aged 13-16 in Utah's Third District Juvenile Court who had 2 to 12 offenses (targeted)

Best practice: early mental health intervention vs. control group

CEA

Matched-control study ( n = 719)

Not reported (probably health sector), 1 year

Not stated

Observation and assessment costs, detention cost, youth corrections and treatment costs

Recidivism, days in court placement, and The Youth Outcome Questionnaire scores

Cost saving (less costly and more effective in improvement of the Youth Outcome Questionnaire scores)

Non-RCT
Low participation rate
Under-presented sample

78

Beckman and Svensson (2015) [ 35], Sweden

Bullying

Adolescents (universal)

Whole-school approach

CEA

Model

Public payer perspective, 3 years

2014, 3%

Intervention costs

Bullying victim spared

ICER = 131,250 Swedish krona ($16,744) per victim spared

Efficacy of intervention was based on a small quasi-experimental study

93

Deogan and colleagues (2015) [ 39], Sweden

Cannabis use

Adolescents aged 14 or 15; eighth grade of compulsory school, (universal)

ALERT plus ATOD Ordinary ATOD only

CUA

Model

Societal perspective, 20 years

2013, 3%

Cost of interventions and healthcare and non-healthcare cost saving

QALYs

ICER = €22,384 ($30,407) per QALY within the Swedish context or cost saving within the US context

Results were sensitive to the follow-up period, effectiveness, and prevalence of cannabis use

87

Ocasio and colleagues (2014) [ 38], US

Challenging behaviour

Three- and 4-year old children enrolled in 4 urban preschools in northern New Jersey (universal)

Tiered approach: Second Step curriculum, mental health clinician and play therapy

CEA

Pre-post study ( n = 268)

Unclear (education sector), 2 years

2012, not stated

Cost of intervention

The PKSB-2

The results indicated that the $900 ($1,024) per child cost resulted in increasing behaviour scale scores around 10% to 15% compared to the baseline scores

No comparator
Small sample size
Inconsistency in the data collection methods

65

Nystrand and colleagues (2020) [ 97], Sweden

Externalising problems (attention deficit/hyperactivity problems and conduct problems)

Parents of children aged 5-12 (targeted)

Five indicated parenting interventions (4 group-based and 1 self-help book)
Wait list control

ROI

Model

Payer perspective, 2 years and long-term productivity

2015, 3% for costs and outcomes

Intervention costs, healthcare and educational sector costs, productivity costs

Cost saving

ROIs (trial):
Comet: 7
Connect: 10.61
Incredible years: 5.96
COPE: 15.80
Self-help book: 328.04

Cost data not collected alongside the trial but estimates from the literature; parents' health and well-being not considered

94

Herman and colleagues (2015) [ 36], US

Mental health (in women and their children)

Divorced women with at least 1 cohabitating child between 9 and 12 years old (targeted)

Parenting-focused programme
Parenting-focused programme with child focus
No intervention

CBA

RCT ( n = 202 mothers and 194 adolescents)

Societal, 15 years

2007, 3%

Intervention costs, healthcare and non-healthcare cost saving

No clinical outcomes were measured

Cost saving (i.e., the intervention was associated with cost saving from healthcare and criminal justice that offset the intervention cost)

Adherence intervention issues.
Under-presented sample

81

The economic evidence of psychological interventions targeting high-risk populations for prevention of anxiety disorders consistently reported that child-focused CBT, parent-focused CBT, or parent-focused psychoeducational interventions provided good value for money. Importantly, a modelled economic evaluation by Simon and colleagues [ 21] found that offering child- or parent-focused interventions based on parental anxiety were cost saving compared to offering child- or parent-focused interventions to all parents under a societal perspective. Within the Australian context, Mihalopoulos and colleagues [ 22] and Chatterton and colleagues found that a parent-focused intervention (Cool Little Kids) was cost-effective (i.e., falling well below the specified value for money threshold) for indicated prevention of anxiety disorders or internalising problems.

Economic evidence for the prevention of major depressive disorder (MDD) is more controversial. Three modelled economic evaluations (using pooled evidence of effectiveness where possible) showed that school-based psychological interventions (e.g., CBT) were cost-effective regardless of preventive strategies (universal or indicated) compared to no intervention [ 23- 25]. These studies used a 10-year time horizon and considered costs related to health and non-health sectors such as productivity costs or costs to the education sector. In contrast, 2 trial-based economic evaluations found that school-based CBT was not cost-effective-in fact, more costly and less effective than usual care for indicated prevention of MDD with a 1-year follow-up [ 26, 27]. Another trial-based evaluation conducted by Lynch and colleagues [ 28] found that CBT delivered to adolescents with subsyndromal depressive symptoms in community settings was more effective and more costly with the ICER of US$13,586 per QALY.

For the prevention of suicide, a multicomponent programme (combined gatekeeper training, promotion of national suicide prevention hotlines, and education and awareness activities) demonstrated cost savings within the US context [ 29, 30]. Within the Australian context, a suicide awareness training (i.e., a 3-hour education session) delivered to secondary school students aged 15 to 16 was found to be cost saving with an ROI ratio of 3.28 under a societal perspective but more effective and more costly under a health sector perspective [ 31]. In contrast, a universal intervention indicated that CBT and a screening intervention plus treatment or healthy lifestyle programme for high risk of suicide at school were found not to be cost-effective compared to educational posters within the UK context [ 32].

There were 2 studies that investigated the cost-effectiveness of preventive interventions for EDs. Within the Australian context, Le and colleagues found that a cognitive dissonance intervention targeting females with high body image concerns was not cost-effective for the prevention of anorexia nervosa and bulimia nervosa [ 33]. However, the authors noted that the intervention became cost-effective if 90% of eligible students (i.e., females with high body image concerns) agreed to participate in the intervention [ 33]. Universal school-based obesity prevention programmes were cost-effective for the prevention of bulimia nervosa and even cost saving if the obesity prevention benefits were also included [ 34].

Regarding mental health promotion, preventive interventions for bullying have demonstrated good value for money with an ICER of KR$131,250 (or $16,744) per QALY [ 35]. A parenting-after-divorce programme targeting both mothers and their children evaluated in a RCT was cost saving; it demonstrated a reduction in mental health costs and justice system service use during a follow-up time of 15 years [ 36]. The cost-effectiveness of other interventions could not be determined due to the absence of a willingness-to-pay threshold for clinical outcomes (e.g., behaviour scores and cases of maltreatment avoided) used in these studies [ 37, 38]. A modelled evaluation found that a school-based intervention for prevention of cannabis use might be cost saving in the US context but not in the Swedish context [ 39]. A parenting programme targeting divorced women, with or without an additional child focus, was also cost saving given that it improved mental health and well-being in both parents and their children [ 36].

Adults (18 to 65 years)

There were 33 economic evaluations (from 35 publications) of mental health promotion and prevention interventions targeting adults; 2 studies reported follow-up findings in separate publications [ 40, 41] (see Table 2 ). Half of these studies ( n = 16) evaluated interventions conducted in 6 European countries (the UK, the Netherlands, Norway, Belgium, Spain, and Germany) followed by the US ( n = 9), Canada ( n = 4), Australia ( n = 2), Sri Lanka ( n = 1), and Japan ( n = 1). The majority of economic evaluations applied conventional economic techniques such as CEA, CUA, and CBA ( n = 25). Six studies conducted multiple evaluation frameworks (e.g., CEA and CUA) and 2 conducted an ROI. Most studies were conducted from healthcare perspective only ( n = 11), followed by a societal perspective ( n = 9) or other perspectives ( n = 9). Three studies were adopted both societal and health sector perspective. The most common time horizon used in the included studies was up to 1 year ( n = 18), ranging from a minimum time horizon of 12 weeks to 1-year time horizon. A total of 15 studies adopted a time horizon that was longer than 1 year. Nearly a third of the studies (11/35 studies) focused on prevention of depression or MDD. Of the remaining studies, 8 studies focused on suicide prevention [ 42- 49] 7 focused on mental health and well-being [ 40, 50- 55], 2 focused on prevention of EDs [ 56, 57] or prevention of psychosis [ 41, 58], and 3 focused on prevention of substance use [ 59], anxiety disorder [ 60], or panic disorder [ 61].

Table 2

Lead author (year), country

Targeted mental risk factor or condition/disorder

Population description (universal, selective, indicated)

Intervention(s) and comparator (setting, individual or group-based, parenting)

Evaluation type

Study design (trial (n =) or model)

Perspective, time horizon

Year of pricing, discount rates

Cost categories

Outcomes

Results
ICERs (in 2015 US value)a

Limitations

Quality scoreb

Kumar and colleagues (2018) [ 60], US

Generalised anxiety disorder

Persons with no or mild anxiety (universal)

Mobile CBT compared to traditional face-to-face CBT or no CBT

CUA

Model

Societal and payer perspective, lifetime

2016 US$, 3% for costs and QALYs

Intervention cost, medical care, pharmaceutical, costs associated with disability days

QALYs

ICER: dominant (i.e., less costly and more effective) (for both comparators)

Effectiveness of pharmacotherapy in combination with CBT not factored and assumed that persons are on pharmacotherapy for their entire life; effectiveness data sourced from a small pilot study

84

Lintvedt and colleagues (2013) [ 69], Norway

Depression

Unclear

e-CBT (MoodGYM and BluePages)
No intervention

CUA
ROI

Model

Unclear, 1 year

2009, no discount

Intervention costs

QALYs
Cost saving

ICER = NOK$3,432 ($506) per QALY
ROI = 9

Short-term efficacy used to extrapolate long-term effectiveness
Completer analysis

35

Henderson and colleagues (2019) [ 72], UK

Depression

Mothers at low risk of postnatal depression (universal)

PoNDER health visitor training (intervention cluster)
Control cluster

CEA
CUA

Cluster RCT
( n = 1,459)

NHS and social care perspective, 6 months

2004, not applicable

Intervention cost, direct healthcare costs

EPDS, QALYS

ICER = dominant (less costly and more effective) ($6,859)

Short time horizon, limited perspective, missing data

93

Lokkerbol and colleagues (2014) [ 67], the Netherlands

Depression

Adults aged 18-65 years (universal)

e-health psychological self-help interventions + usual care
Usual care

ROI

Model

Healthcare, 5 years

Unclear
Costs 4%
Effects 1.5%

Unclear

DALYs

Cost saving
ROI = increase from 1.45 to 1.77

Threshold analysis
No sensitivity analysis

66

Mihalopoulos and colleagues (2011) [ 62], Australia

Depression

Adults with subthreshold depression (targeted)

Brief bibliotherapy
Group-based CBT
Do nothing

CUA

Model

Health sector, 5 years

2003, 3%

Intervention costs, healthcare cost saving

DALYs

ICER: $9,303 per DALY for brief bibliotherapy and $21,636 for CBT

Acceptability of the intervention
Decay rate of the effectiveness of the intervention

100

Buntrock and colleagues (2017) [ 68], Germany

Depression

Adults with depressive symptoms (CES-D ≥16) (targeted)

iPST/BA + TAU (202)
Enhanced TAU (204)

CEA, CUA

RCT ( n = 406)

Societal
Health sectors, 1 year

2013, no discount

Intervention costs

QALYs
Depression-free year

ICER:
Societal perspective: €13,400 ($19,501) per QALY or €1,117 ($1,626) per depression-free year
Healthcare perspective: €13,500 ($19,646) per QALY or €1,125 ($1,637) per depression-free year

Short time horizon
Not differentiate between prevention of first-ever onsets of MDDs or MDD recurrences
Highly educated samples

100

Hunter and colleagues (2014) [ 63], UK

Depression

Adult primary care population with no current diagnosis of depression (universal and targeted)

Screening by a risk algorithm plus low-intensity depression prevention intervention
Universal low-intensity intervention (online CBT or bibliotherapy)
TAU

CUA

Model

Health sector, 1 year

2010-2011, no discount

Intervention costs

QALYs

ICER: Cost saving compared to universal prevention and £9,608 ($16,085) per QALY relative to treatment as usual

Short term time horizon
The intervention pathway is well justified given lack of supported evidence
Threshold analysis

93

van den Berg and colleagues (2011) [ 65], the Netherlands

Depression

Adults aged 20-65 visiting GP with subthreshold depression (targeted)

Screening + minimal contact psychotherapy
Usual care

CUA

Model

Health sector
Societal, 5 years

2008
Costs 4%
Effects 1.5%

Intervention costs, healthcare and non-healthcare cost saving

DALYs

Cost saving under societal perspective
Cost-effective under health sector perspective
ICER: €1,400 ($1,995) per DALY

Short-term (i.e., 1 year) effectiveness of the intervention based on a single trial that was underpowered
Disability weight based on a small, unpublished study

100

Fernández and colleagues (2018) [ 64], Spain

Depression

Adults in primary care (targeted)

Screening by a risk algorithm plus low-intensity depression prevention intervention
TAU

CUA

RCT ( n = 3,326)

Health sector
Societal, 18 months

2012, 3.5%

Intervention costs, healthcare and non-healthcare cost saving

QALYs

Societal perspective: ICER-cost saving
Health sector perspective:
ICER = €1,327 ($2,196) per QALY

Underrepresented sample
Unblinded trial

100

Ising and colleagues (2015, 2017) [ 73, 76], the Netherlands

Psychosis

Adults with ultra-high risk for psychosis (targeted)

CBT+TAU (95)
TAU (101)

CEA, CUA

RCT
( n = 201)

Mental healthcare
Societal, 4 years

2014
Costs 4%
Effects 1.5%

Intervention
costs, costs related to psychiatric healthcare, costs of medication, and participants' travel costs

Prevented psychosis
QALYs

ICER-cost saving (less costly and more QALY gained)

High dropout rate
Not capture other medications than antipsychotic medication
No control for baseline differences

100

Wijnen and colleagues (2020) [ 58], the Netherlands

Psychosis

Individuals with ultra-high risk psychosis (targeted)

CBT
Care as usual

CUA

Model

Health sector, 10 years

2018
Costs 4%
Effects 1.5%

Interventions and healthcare savings

QALYs

Cost saving (less costly and more QALY gained)

Individual patient characteristics were not taken in account
The costs of identifying persons at ultra-high risk psychosis were not included

99

Kass and colleagues (2017) [ 56] [ 56], US

EDs

Students (universal)

Screening + preventive or treatment interventions
Wait list

CEA

Model

Payer, unclear

2016, unclear

Intervention costs, healthcare cost saving

ED cases

Cost saving (i.e., the intervention is associated with less costly and fewer individuals needing in-person psychotherapy than control)

Exclusion of screening cost
Underestimation of EDs treatment costs
No probabilistic or sensitivity analysis

49

Noben and colleagues (2014, 2015) [ 40, 74], the Netherlands

Mental health

Nurses with elevated risk of mental health (targeted)

Screen-positive nurses received personalised feedback + occupational physician
Screening without feedback + usual care

CBA

RCT ( n = 617)

Organisation, 6 months

2011, no discount

Intervention costs, non-healthcare cost saving

Cost saving

ROI = 7

High dropout
Costs of staff turnover and the spill-over effects were not included
Short-time horizon

87

Ride and colleagues (2016) [ 52], Australia

Mental health

First-time mothers (targeted)

Psychoeducational intervention (What were we thinking)
Usual care

CEA, CUA

RCT ( n = 359)

Public sector, 6 months

2013-2014, no discount

Intervention cost, healthcare and non-healthcare cost saving

QALYs,
30-day prevalence of depression, anxiety, and adjustment disorders

ICER = A$36,158 ($27,679) per QALY gained
ICER = A$151 ($116) per reduction in 30-day mental disorder prevalence

Short-term time horizon
Considerable uncertainty around ICER

100

Thanh and colleagues (2013) [ 54], Canada

Mental health

High-risk individuals who were referred to the service network for diagnostic services or those who were diagnosed with FASD and were referred to the service network for support services (targeted)

Service network
No service network

CBA

Model

Societal, 1 year

2012, no discount

Intervention costs, healthcare and non-healthcare cost saving

Crime, homelessness, mental health problems, and school disruption (for children) or unemployment (for adults)

Cost saving
ROI > = 1 if effectiveness of the programme > = 28%

Threshold analysis (i.e., lack of intervention effectiveness data)
Factors such as having reliable differential diagnosis, access to service, compliance with programme, baseline health status, and other influencers were not considered

67

Schotanus-Dijkstra and colleagues (2018) [ 53], the Netherlands

Mental health

Participants with suboptimal levels of mental well-being (targeted)

An email-guided positive psychology vs. a wait list control group

CEA

RCT ( n = 275)

Health sector perspective, 6 months

2014, no discount

Intervention costs: direct medical and direct non-medical costs

Flourishing mental health
Treatment responders for anxiety and depressive symptoms measured by MHC-SF

ICER = €2,359 ($3,220) for flourishing, €2,959 ($4,039) for anxiety, and €2,578 ($3,519) for depression

Overrepresented well-educated women
ICER for each type of mental health symptoms

81

Pil and colleagues (2013) [ 42], Belgium

Suicide

People at risk for suicide (targeted)

Suicide Helpline
No intervention

CUA

Model

Societal, 10 years

2012
Costs 3%
Effects 1.5%

Intervention costs, healthcare and non-healthcare cost saving

QALYs

The Suicide Helpline is less costly and produces more QALY gains compared to no intervention

Did not include reattempted suicide.
US data rather than local data were used to inform the model

92

Atkins and Woods (2013) [ 44], US

Suicide

Unclear (universal)

Suicide Barrier on the Golden Gate Bridge
No intervention

CBA

Model

Societal, 20 years

Unclear
Unclear

Intervention costs

DALYs
Value of statistical life

ICER = US$4,876 ($5,700) per DALYs

No uncertainty analysis
No description of costing method

22

Damerow and colleagues (2020) [ 48], Sri Lanka

Suicide

Unclear (universal)

Shop-based gatekeeper training programme

CEA

Model

Government, 3 years

2019 (US dollars), 3%

Intervention costs

Suicide cases

The programme needs to prevent an estimated 0.23 fatal pesticide self-poisoning cases over 3 years to be considered cost-effective

Threshold analysis
Cost data from experts' opinion
Underestimated administrative costs

58

Dunlap and colleagues (2019) [ 47], US

Suicide

Adults at emergency department (targeted)

Universal screening
Universal screening + telephone
Usual care

CEA

Controlled study ( n = 1,376)

Provider, 1 year

2015, no discount

Intervention costs

Suicide and suicide attempts

ICER: Screening: $2,789 ($3,053) per suicide or suicide attempt averted
Screening + telephone: $5,020 ($5,494) per suicide or suicide attempt

Some data replied on assumptions from research team
Administrative and training costs were excluded in universal screening

82

Vasiliadis and colleagues (2015) [ 43], Canada

Suicide

Patients with depression (targeted)

NAD multimodal suicidal prevention programme

CEA

Model

Healthcare and societal, 1 year

2010 3%, 5%

Suicidal prevention programme costs, direct medical and non-direct medical costs, others (police investigation and funeral costs), lost productivity cost

Reduction in suicide attempts (life saved years)

ICER = CAD$3,979 ($3,864) per life year saved

Province-level cost data
Pre-post study without a control

83

Denchev and colleagues (2018) [ 45], US

Suicide attempts

Hospital emergency department patients aged 18+ (targeted)

Follow-up via postcards or caring letters, follow-up via TO, and suicide-focused cognitive-behavioural therapy (CBT)-with usual care.

CEA

Markov model

Not stated (probably health sector), 54 weeks

2014, no discount

Intervention costs, costs associated with the index visit and any subsequent ED visit and with inpatient and outpatient care following ED presentation

Suicide attempts averted, life-years saved

Postcards intervention was dominant (more effective and less costly) to usual care, ICER = $4,300 ($4,757) for TO and $18,800 ($20,797) for CBT compared to usual care

Replying on experts' opinion
Trials to inform effectiveness evidence had lacked power to assess suicide death
Low sensitivity of detecting ED patients' suicide risk that impact on population implementation

90

Miller and colleagues (2007) [ 59], US

Substance abuse

US transportation company (universal)

Peer-based substance abuse prevention programme

ROI

Retrospective ecological study

Workplace and societal, 2 years

3%, 1999

Injury cost, PeerCare cost, substance abuse testing cost

Cost saving, injury cost avoided per dollar invested and per employee

ROI = 27
ROI = $35 ($53) per employee

Under-presentative sample
No comparator

56

Smit and colleagues (2009) [ 61], the Netherlands

Panic disorder

Adults with panic disorder symptoms not meeting the DSM-IV panic disorder (targeted)

Time-limited CBT vs. care as usual

CEA

RCT ( n = 117)

Societal perspective, 3 months

2003, no discount

Direct medical and direct non-medical costs.

DSM-IV PD-free survival

ICER = €6,198 ($9,766) per PD-free survival gained

Short-term time horizon
Baseline difference
Uncertainty about intervention implementation

96

Screening adults at high-risk of MDD with or without provision of minimal contact (e.g., brief CBT or brief psychotherapy) was found to be consistently cost-effective, even cost saving compared to current practice [ 62- 66]. Within the Australian context, Mihalopoulos and colleagues evaluated the modelled cost-effectiveness of a brief bibliotherapy and CBT intervention for adults with subthreshold depression [ 62]. The study showed that both interventions were cost-effective compared to a "doing nothing" scenario, but brief bibliotherapy was more favourable than CBT, although it had a much wider uncertainty interval [ 62]. Screening adults for risk of depressive symptoms and providing a low intensity depression preventive intervention was found to be cost-effective compared to universal prevention or doing nothing in selected European countries [ 63- 65]. Jiao and colleagues suggested that a 2-stage depression screening plus early intervention in the US resulted in an ICER of $1,726 (or $1,889) per QALY gained [ 66]. Internet-based CBT for the prevention of MDD was examined in 2 trial-based evaluations. Both studies consistently suggested that internet-based CBT was not cost-effective compared to treatment as usual [ 67, 68]. Although a favourable result for internet-based CBT was found in Norway, this study actually included both those with subclinical depressive disorder and those with diagnosed depressive disorder. The results were not reported separately [ 69]. Other interventions included depression as a study outcome [ 70] or used clinical outcomes, making it difficult to determine whether these interventions were cost-effective [ 70, 71]. A trial-based evaluation found that health visitor training to assess postnatal depression and deliver psychological therapy to women at risk of depression was cost saving within the UK context [ 72].

A telephone "Helpline" available to adults who are at risk of suicide or constructing a suicide barrier on the Golden Gate Bridge in San Francisco, California in the US were found to be cost saving in terms of prevention of suicide in Belgium or the US, respectively [ 42, 44]. For adults who attended hospital emergency department due to self-harm, distributing postcards providing messages of psychosocial support to individuals after discharge was found to be cost saving, while telephone outreach and CBT were more effective and more costly for prevention of suicide attempts [ 45, 47]. A multicomponent suicide prevention programme targeting adults with depression was consistently found to be more effective and more costly with an ICER below the common threshold of $50,000 per QALY in 2 modelled evaluations within the Canadian context [ 43, 49]. Delivering CBT to in-patients in acute psychiatric wards was questionable for suicide prevention given that the intervention was found to be less effective and less costly. A threshold analysis by Damerow and colleagues [ 48] indicated that a shop-based gatekeeper training programme would be cost-effective if it was able to prevent an estimated 0.23 fatal pesticide self-poisoning cases over 3 years within the Ski Lankan context.

One study investigating the cost-effectiveness of a cognitive dissonance intervention for the prevention of EDs targeting female university students with high body image concerns reported an ICER of US$856 (or $961) per additional at-risk person reducing ED symptoms [ 73]. Another study showed that a stepped care model for online prevention and treatment among US college students was cost saving [ 56]. For adults at ultra-high risk for psychosis, early detection and providing psychological interventions with or without pharmacological interventions were found to be consistently cost-effective and even cost saving compared to usual care [ 41, 58, 73]. Preventive interventions for substance abuse resulted in a cost-benefit ratio of 1:26 due to the reduction in employee injury [ 59]. An indicated CBT programme for panic disorders might be a cost-effective intervention with the reported ICER of €6,198 (or $9,766) per panic disorder-free survival gained [ 61]. Compare to either traditional CBT or status quo for prevention of generalised anxiety disorder, mobile CBT delivered to those with mild anxiety disorder was found to be cost saving over a lifetime.

Several economic evaluations have been conducted to promote mental health and well-being on targeted populations. The majority of studies strongly supported the value for money of these interventions. Preventive interventions targeting employees (in general) or nurses with elevated risk of mental health problems were found to be cost saving, with a return of $1.5 to $7 per $1 invested, respectively [ 40, 50, 74]. A modelled implementation of an exercise referral scheme for mental health promotion in the UK over 1 year was cost-effective with an ICER of £12,111 (or $20,665) per QALY gained-well below the NICE threshold of £20,000 per QALY gained [ 51]. Furthermore, universal mental health promotion programmes in community settings in the UK were found to be cost saving under the societal perspective and more effective and more costly under the health sector perspective, with an ICER of £91 (or $124) per unit improvement on the depression and anxiety symptom scale. Ride and colleagues highlighted that a psychoeducational intervention targeting first-time mothers to promote mental health and well-being had an ICER of A$36,451 (or $27,679) per QALY gained [ 52].

Older adults (>65 years)

Table 3 presents the characteristics and main findings of studies focused on older adults. Seven studies assessed the cost-effectiveness of mental health prevention and promotion interventions in older adults [ 75- 81]. Studies were conducted in the following countries: UK ( n = 3), the Netherlands ( n = 3), and US ( n = 1). Three studies conducted multiple evaluation frameworks (CEA and CUA), 2 conducted a CEA, and 2 a CUA. Of those, 4 studies focused on interventions targeting depression and anxiety, 2 studies on depression only, and 1 study that assessed interventions that aimed to improve older adults' general mental health and well-being. All 7 studies were conducted alongside randomised controlled trials, which had a follow-up period of 6 to 12 months. Three studies adopted a societal perspective, 3 studies a narrower health and social care perspective (with 1 study including informal care costs), and 1 study did not state the perspective.

Table 3

Lead author (year), country

Targeted mental risk factor or condition/disorder

Population description (universal, selective, indicated)

Intervention(s) and comparator (setting, individual or group-based, parenting)

Evaluation type

Study design (trial (n =) or model)

Perspective, time horizon

Year of pricing, discount rates

Cost categories

Outcomes

Results
ICERs (in 2020 US$)a

Limitations

Quality scoreb

Two studies assessed the cost-effectiveness of a stepped-care programme to prevent depression and anxiety in older adults. In the first study, the intervention was structured in cycles of 3 months and consisted of 4 steps: watchful waiting, bibliotherapy, problem-solving treatment, and antidepressant medication [ 81]. The authors found that the intervention reduced the incidence of depression and anxiety and-assuming a willingness to pay for a disorder-free year of €5,000-the intervention represented good value for money compared with routine primary care (€4,367 [$6,368]). Contrary to this, the second study found that a stepped care programme, consisting of watchful waiting, activity scheduling, life review, and consultations with the general practitioner, was not cost-effective in residents of homes for elderly people compared with usual care across all outcome measures (QALYs, incidence, and severity of depression and anxiety) [ 75].

Two studies, targeting carers of people living with dementia, examined the cost-effectiveness of a family meeting intervention [ 77] and an 8-session coping intervention [ 78] applying both a CEA and CUA framework. Compared with usual care, the family intervention consisting of 6 in-person counselling sessions was not considered cost-effective in terms of QALY gains and incidence of depression and/or anxiety in caregivers [ 77]. The adapted version of the "Coping with Caring" intervention, however, was cost-effective compared with treatment as usual by reference to both carer-based QALYs (£6,000 or $10,395) and affective symptoms of family carers (£118 or $204) [ 78].

The remaining 3 studies examined the cost-effectiveness of an universal occupational therapy intervention in older adults aged 60 to 95 years [ 76], a whole-home intervention that comprised training for care home staff and twice weekly physiotherapist-led exercise classes in care home residents [ 80], and CBT in older people who have had hip surgery [ 79]. Using the UK's cost per QALY threshold (£20,000 to £30,000 per QALY gained) as reference, the authors concluded that the occupational therapy intervention was cost-effective in improving older adults' mental well-being, whereas the whole-home intervention and CBT for prevention of depression were found not cost-effective.

Finding synthesis

As presented in Tables ​Tables1 1 - 3 , the format and extent of reported economic evaluation frameworks, targeted population and conditions, health outcomes, and costs varied considerably between studies, precluding the aggregation of quantitative data such as meta-analysis. Therefore, the dominance ranking framework was used for qualitative synthesis of included studies (see S3 Table). Fig 2 presents a summary of the classification of different interventions graded based on costs and health benefits and grouped as either an intervention to be rejected, favoured, or unclear.

Only 2 interventions were categorised as "reject" (i.e., less effective and more costly), which were preventive interventions for depression. Particularly, one intervention was a universal school-based CBT for adolescents, while another was targeted physical intervention for older adults. One-third of interventions was ranked under interventions to be "favoured" as they yielded positive health benefits at a lower cost. These interventions focused on children, adolescents, or adults, and most of them were targeted for the prevention of depression, suicide, or promotion of mental health. The remaining interventions, accounting for nearly two-thirds of interventions, were in the "unclear" category since they produced improved health outcomes at a higher cost. Interventions classified in this unclear group required value judgements in terms of the willingness to pay threshold that often varies by decision context. Based on authors' conclusions, over half of these interventions were considered to be cost-effective given that the ICER remained under relevant value for money threshold of $50,000 per QALY or £20,000 to £30,000 per QALY.

Quality assessment

The quality scores ranged from 22 to 100. Only 1 study was classified as extremely poor quality [ 44], and 4 studies were classified as poor quality [ 50, 56, 69, 76]. The majority of studies achieved fair to high quality. The average quality scores for studies focused on children, adults, and older adults were 88.2, 79.7, and 91.0 respectively. Detail of quality scores for each study is presented in S2 Table.

Discussion

Summary of the main findings

This review provides an update on economic evaluation studies of mental health promotion and prevention interventions across the life span. Findings from the current review highlight that there has been less research relating to the cost-effectiveness of mental health promotion interventions compared with preventative interventions. Furthermore, there is limited evidence available for low- and middle-income countries, given that the majority of studies were conducted in high-income countries, mostly in the UK, the US, or Australia. Given that childhood years are significant for building life skills and marks the time period when mental health disorders develop, it is not surprising that most of the existing research has focused on children, adolescents, and youth. There was less evidence on interventions targeting older adults. CUA or CEA were the most frequent types of economic evaluation across the age spectrum. Interestingly, although there was high heterogeneity in terms of the design among included economic evaluations, the majority of the studies consistently found that interventions for mental health prevention and promotion were cost-effective or cost saving. The review found that targeted prevention was likely to be cost-effective compared to universal prevention. In children and adolescents, screening plus psychological interventions (e.g., CBT) at school were the most cost-effective interventions for prevention of mental disorders, while parenting interventions had good evidence in mental health promotion. In adults, strong evidence supported screening plus psychological interventions for mental disorder prevention, while workplace interventions targeting employees in general were cost-effective. There is inconclusive evidence for preventive interventions for mental disorders or mental health promotion in older adults.

This review found significant growth in the number of economic evaluations for mental health prevention and promotion published in the last 10 years. The number of studies included in this review was 4 to 5 times greater compared to the numbers in the previous reviews [ 11, 12]. It is noteworthy that the current review has a broader scope where prevention of substance use disorders and suicide have been considered. Furthermore, this review also included ROI studies, with evidence suggesting that preventive interventions for suicide and externalising problems in children/adolescents as well as for depression and substance use in adults produce significant returns.

Methodological limitations of included studies

While there have been considerable improvements in both quantity and quality of cost-effectiveness studies in comparison to the previous reviews, there are still some persistent methodological limitations in the current studies reviewed. Some studies, especially CBA/ROI studies, did not state the perspective adopted in the study, which is critical for identification of cost components. Also, the comparator to which the intervention of interest was compared to was not clearly stated or described. Most CBA/ROI studies relied on survey data rather than controlled trials, introducing bias for judging the effectiveness and cost-effectiveness of the respective interventions.

One notable methodological issue relates to the absence of incorporating statistical uncertainty in both trial-based and modelled economic evaluations. Ideally, both deterministic and probabilistic uncertainty analyses should be conducted within a single economic evaluation to reflect the parameter uncertainty [ 82]. The deterministic analysis is used for reporting the impact of key parameters on the ICER, whereas probabilistic analysis is used to convey overall uncertainty. Regardless of the type of statistical uncertainty, these analyses are helpful for the analysts to examine the reliability or robustness of cost-effectiveness inferences and helps to inform the direction of further research [ 82, 83].

Another issue pertinent to trial-based economic evaluations relates to the fact that the majority of results of effectiveness and costs did not reach statistical significance. This is most likely due to an insufficient sample size to detect statistical significance in costs or QALYs, as power calculations are often based on clinical outcomes. Another important issue for the prevention field is that a longer time horizon is required to detect the effectiveness of the intervention. However, most of the studies included were limited to a time horizon of up to 1 year, and only 2 studies had time horizons of 4 years and 15 years [ 36, 41].

Policy implications and directions for future research

While this review identified a number of interventions for the prevention of mental disorders and mental health promotion that provide value for money, the scale-up of such interventions requires further consideration. Firstly, most of the studies were conducted alongside a clinical trial, where efficacy estimates often do not translate into real-life effectiveness. For example, an early CEA of the early intervention programme designed to prevent anxiety and depression from preschool age (the Cool Little Kids programme) showed that the intervention is cost-effective when modelling trial efficacy results [ 22]. The translational trial of Cool Little Kids, which aimed to provide real-world effectiveness and cost-effectiveness evidence, resulted in higher incremental costs [ 84]. The studies also differed in their time horizons (3 years versus 1 year) and the choice of outcomes (DALYs versus internalising problems avoided), indicating that trial cost-effectiveness outcomes need to be interpreted carefully. The large-scale implementation of mental health promotion and prevention interventions also requires consideration beyond cost-effectiveness outcomes. For example, numerous trial-based economic evaluations reported high dropout rates, indicating problems with acceptability, adherence, and feasibility of the interventions evaluated. These implementation considerations need to be considered alongside methodological limitations of cost-effectiveness studies. There are also potential barriers that arise to implement such programmes at the policy level [ 85]. In particular, for interventions that impact multiple sectors, fragmentation of responsibility and funding across stakeholders and sectors may be problematic. Limited capacity to deliver such services or limited incentives to invest in prevention requires an even stronger evidence base to promote the value of investing in mental health promotion and prevention interventions.

The small number of mental health promotion studies identified as part of this review may, to some degree, be an artefact of the difficulty in conducting economic evaluations in the areas of health promotion and public health as previously highlighted [ 11]. In fact, given that interventions for mental health promotion are often reliant on population and public health strategies, natural experiments rather than randomised controlled trials are frequently used as a research design to evaluate such interventions if the requisite data are available [ 86]. Furthermore, preventive interventions or public health interventions require financial support and implementation from sectors outside of health (e.g., school-based interventions typically involve the education sector) [ 87]. Standard economic evaluation methods commonly applied to health technology assessment may not be transferable to health promotion evaluation and broader frameworks, such as cost-benefit analyses may be required where broader benefits can be captured and measured [ 88]. Given the rapid growth of the number of interventions for promoting mental or psychological well-being, and building resilience [ 89], economic evaluations with improved methods and capturing intersectoral cost and outcomes of such interventions are needed [ 86].

Further economic evaluation studies are also warranted for the promotion of good mental health and the prevention of ill-health in older adults. Only 7 studies were identified in this review, of which 2 studies focused on family carers of people living with dementia [ 90]. Depression among older people is especially a significant public health issue, with estimates showing that 8.2% of community-dwelling older adults [ 91] and 52% of older adults residing in residential aged care in Australia are experiencing depressive symptoms [ 92].

Strength and limitations

To the best of our knowledge, this is the first comprehensive review that covers both prevention of mental disorders and mental health promotion across the age spectrum. This review also included ROI studies, which are commonly used by decision-makers.

A limitation of our review is that we may have missed studies that promote mental health or prevent mental disorders as part of general health promoting strategies. However, since we focused on studies where mental health was the primary outcome, studies that did not distinguish between mental and physical health could have been excluded. Examples for this scenario include numerous workplace health promotion programmes that do not address mental health directly but still may have a positive impact on mental health. Furthermore, although ROI studies were included in the search strategy, it is common that these studies are published in grey literature rather than in the academic literature. For example, several reports published by governmental agencies in the UK, Canada, and Australia were not included in this review [ 93, 94]. However, these reports consistently supported the value for money of interventions designed for mental health prevention and promotion.

The quality assessment checklist used in this review (the QHES) may have limitations in capturing the quality of trial-based economic evaluations, given that the assessment criteria have a strong focus on the key aspects of modelled evaluations in particular. Furthermore, the inclusion of 2 or 3 questions in one assessment criterion resulted in difficulties assigning an appropriate score, especially given the lack of an option to assign a middle score for each criterion in the QHES. Studies that partly met a criterion did not achieve a score for that reason. Further research on quality assessment checklists of economic evaluations is required.

Conclusions

Our findings suggested a significant growth in the number and quality of economic evaluations in the prevention of mental disorders or promotion of mental health and well-being. Although several interventions for mental health prevention and promotion provide good value for money, the varied quality as well as methodologies used in economic evaluations limit the generalisability of conclusions about cost-effectiveness. Further translational research of real world implementation of mental health prevention and promotion is required.

Abbreviations

CBA

cost-benefit analysis

CBT

cognitive behavioural therapy

CEA

cost-effectiveness analysis

CMA

cost-minimisation analysis

CUA

cost-utility analysis

DALY

disability-adjusted life year

ED

eating disorder

ICER

incremental cost-effectiveness ratio

MDD

major depressive disorder

NICE

National Institute for Health and Clinical Excellence

PRISMA

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

QALY

quality-adjusted life year

QHES

Quality of Health Economic Studies Instrument

ROI

return on investment

Funding Statement

LKDL, CM, LE, JB received funding from the National Mental Health Commission for the earlier version of this review in Australia. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

3. Mrazek PJ, Haggerty RJ. Reducing Risks for Mental Disorders: Frontiers for Preventive Intervention Research. Washington (DC); 1994. 10.17226/2139 [[ CrossRef] Google Scholar]

19. Shemilt I, Thomas J. Morciano M. A web-based tool for adjusting costs to a specific target currency and price year. Evid Policy. 2010;6(1):51-9. [ Google Scholar]

37. Dalziel K, Dawe S, Harnett PH, Segal L. Cost-effectiveness analysis of the Parents under Pressure programme for methadone-maintained parents. Child Abuse Rev. 2015;24(5):317-31. [ Google Scholar]

38. Ocasio K, Van Alst D, Koivunen J, Huang C-C, Allegra C. Promoting preschool mental health: Results of a 3 year primary prevention strategy. J Child Fam Stud. 2015;24(6):1800-8. [ Google Scholar]

43. Vasiliadis H-M, Lesage A, Latimer E, Seguin M. Implementing Suicide Prevention Programs: Costs and Potential Life Years Saved in Canada. J Ment Health Policy Econ. 2015;18(3):147-55. [[ PubMed] Google Scholar]

46. Haddock G, Pratt D, Gooding PA, Peters S, Emsley R, Evans E, et al. Feasibility and acceptability of suicide prevention therapy on acute psychiatric wards: Randomised controlled trial. BJPsych Open. 2019;5. 10.1192/bjo.2018.85 [[ PubMed] [ PMC free article] [ CrossRef] Google Scholar]

53. Schotanus-Dijkstra M, Drossaert CHC, Pieterse ME, Walburg JA, Bohlmeijer ET, Smit F. Towards sustainable mental health promotion: Trial-based health-economic evaluation of a positive psychology intervention versus usual care. BMC Psychiatry. 2018;18. 10.1186/s12888-018-1606-1 [[ PubMed] [ PMC free article] [ CrossRef] Google Scholar]

54. Thanh NX, Moffatt J, Jacobs P, Chuck AW, Jonsson E. Potential impacts of the Alberta fetal alcohol spectrum disorder service networks on secondary disabilities: a cost-benefit analysis. J Popul Ther Clin Pharmacol. 2013;20(2):e193-200. [[ PubMed] Google Scholar]

57. Akers L, Rohde P, Stice E, Butryn ML, Shaw H. Cost- effectiveness of achieving clinical improvement with a dissonance-based eating disorder prevention program. Eat Disord. 2017;25(3):263-72. 10.1080/10640266.2017.1297107 [[ PubMed] [ CrossRef] PMC free article] [ Google Scholar]

61. Smit F, Willemse G, Meulenbeek P, Koopmanschap M, van Balkom A, Spinhoven P, et al. Preventing panic disorder: cost-effectiveness analysis alongside a pragmatic randomised trial. Cost Eff Resour Alloc. 2009;7. 10.1186/1478-7547-7-7 [[ PubMed] [ PMC free article] [ CrossRef] Google Scholar]

77. Joling KJ, Bosmans JE, van Marwijk HWJ, van der Horst HE, Scheltens P, MacNeil Vroomen JL, et al. The cost-effectiveness of a family meetings intervention to prevent depression and anxiety in family caregivers of patients with dementia: a randomized trial. Trials. 2013;14:305. 10.1186/1745-6215-14-305 [[ PubMed] [ CrossRef] PMC free article] [ Google Scholar]

78. Knapp M, King D, Romeo R, Schehl B, Barber J, Griffin M, et al. Cost effectiveness of a manual based coping strategy programme in promoting the mental health of family carers of people with dementia (the START (STrAtegies for RelaTives) study): a pragmatic randomised controlled trial. BMJ. 2013;347:f6342-\. 10.1136/bmj.f6342 [[ PubMed] [ CrossRef] PMC free article] [ Google Scholar]

81. Van't Veer-Tazelaar P, Smit F, van Hout H, van Oppen P, van der Horst H, Beekman A, et al. Cost- effectiveness of a stepped care intervention to prevent depression and anxiety in late life: randomised trial. Br J Psychiatry. 2010;196(4):319-25. 10.1192/bjp.bp.109.069617 [[ PubMed] [ CrossRef] Google Scholar]

86. Deidda M, Geue C, Kreif N, Dundas R. McIntosh E. A framework for conducting economic evaluations alongside natural experiments. Soc Sci Med. 2019;220:353-61. 10.1016/j.socscimed.2018.11.032 [[ PubMed] [ CrossRef] PMC free article] [ Google Scholar]

92. Australian Institute of Health and Welfare. Depression in residential aged care 2008-2012. Canberra: 2013. [ Google Scholar]

94. Mihalopoulos C, Le LK-D, Engel L, Lal A, Lee YY, Bucholc J. The economic case for investing in mental health prevention. National Mental Health Commission. 2019. [ Google Scholar]

Articles from PLOS Medicine are provided here courtesy of PLOS

# data[].attributes.attachment_link.title
Cost-effectiveness evidence of mental health prevention and promotion interventions: A systematic review of economic evaluations

# data[].attributes.attachment_link.description
The prevention of mental disorders and promotion of mental health and well-being are growing fields. Whether mental health promotion and prevention interventions provide value for money in children, adolescents, adults, and older adults is unclear. The ...

# data[].attributes.attachment_caption
University of Washington. (2018). Using the PHQ-9:A guide for medical assistants, front and back office staff. https://aims.uw.edu/sites/default/files/Talking%

# data[].attributes.attachment_caption
Macomb County Community Mental Health. (2023a). Macomb County crisis and emergency services. Mccmh.net

# data[].attributes.attachment_caption
Macomb County Community Mental Health. (2023a). Macomb County crisis and emergency services. Mccmh.net

# data[].attributes.headline
What about those who have private insurance?

# data[].attributes.subject
What about those who have private insurance?

# data[].attributes.body
1. Utilize Crisis Line
2. See Resource Sheets for Outside Providers

Macomb County Community Mental Health. (2023b). Private practice psychiatry and therapy offices.

# data[].attributes.attachment_caption
Common Psychotropic Medications                                                          RCB. (2016). Psychotropic Medications.          

# data[].attributes.attachment_caption
Phone Number Resources   Office for Victims of Crime. (2023). Help for crime victims. 

# data[].attributes.attachment_caption
Phone Number Resources Part 2 Office for Victims of Crime. (2023). Help for crime victims. 

# data[].attributes.body
Tracy Smolinski-Patterson MSN, RN, QMHP, QIDP, PMH-BC
MCCMH WEST VDPS RN
Direct Line: 586-747-1186
Tracy.Smolinski@mccmh.net

# data[].attributes.body
Adhikari, R. P., Yogi, S., Acharya, A., & Cunningham, K. (2020). Intimate partner violence and nutritional status among Nepalese women: an investigation of associations. BMC Women’s Health, 20(1), 1–11. https://doi.org/10.1186/s12905-020-00991-x

Akyazi, S., Tabo, A., Guveli, H., İlnem, M. C., & Oflaz, S. (2018). Domestic violence victims in shelters: What do we know about their mental health? Community Mental Health Journal, 54(3), 361–369. https://doi.org/10.1007/s10597-018-0240-1

Avinity. (2023). Caring for you mental health. https://avinityseniorliving.org/Blog/Caring-for-Your-Mental-Health?gclid=CjwKCAjwpayjBhAnEiwA-7ena-AtT_byt-v4cIu6T5tn0DZbKfZFJPQ8_WEy2XjdorkXXYRxXfI-IhoClHIQAvD_BwE

Brandhorst, S., & Clark, D. L. (2022). Food security for survivors of intimate partner violence: Understanding the role of food in survivor well‐being. Health & Social Care in the Community, 30(6), e6267–e6275. https://doi.org/10.1111/hsc.14064

Cherry, K. (2022). List of psychological disorders: Mental health conditions fall into several major categories. VerywellMind. https://www.verywellmind.com/a-list-of-psychological-disorders-2794776

Kavak, F., Aktürk, Ü., Özdemir, A., & Gültekin, A. (2018). The relationship between domestic violence against women and suicide risk. Archives of Psychiatric Nursing, 32(4), 574–579. https://doi.org/10.1016/j.apnu.2018.03.016

Le, L. K., Esturas, A. C., Mihalopoulos, C., Chiotelis, O., Bucholc, J., Chatterton, M. L., & Engel, L. (2021). Cost-effectiveness evidence of mental health prevention and promotion interventions: A systematic review of economic evaluations. PLoS medicine, 18(5), e1003606. https://doi.org/10.1371/journal.pmed.1003606

Macomb County Community Mental Health. (2023a). Macomb County crisis and emergency services. Mccmh.net

Macomb County Community Mental Health. (2023b). Private practice psychiatry and therapy offices.

Mengo, C., Beaujolais, B., Kulow, E., Ramirez, R., Brown, A., & Nemeth, J. (2020). Knowledge and perspectives of domestic violence service providers about survivors with mental health disability. Journal of Family Violence, 35(2), 181–190. https://doi.org/10.1007/s10896-019-00053-3

McLeod, S. (2023). Maslow's hierarchy of needs. https://www.simplypsychology.org/maslow.html

National Sexual Violence Resource Center. (2023). Find Resources. https://www.nsvrc.org/

Office for Victims of Crime. (2023). Help for Crime Victims.

Poreddi, V., Reddy, S. S. N., Gandhi, S., Marimuthu P., & BadaMath, S. (2021). “Unheard voices”: Perceptions of women with mental illness on nurses screening routinely for domestic violence: A qualitative analysis. Investigacion & Educacion En Enfermeria, 39(3), 23–35. https://doi.org/10.17533/udea.iee.v39n3e03

RCB. (2016). Psychotropic Medications.

Semmel, P. (2012). Orem self-care deficit theory. https://www.slideserve.com/preston/orem

Standford University. (2008). PHQ9. https://med.stanford.edu/fastlab/research/imapp/msrs/_jcr_content/main/accordion/accordion_content3/download_256324296/file.res/PHQ9%20id%20date%2008.03.pdf

Taylor, A. K., Gregory, A., Feder, G., & Williamson, E. (2019). “We’re all wounded healers”: A qualitative study to explore the well‐being and needs of helpline workers supporting survivors of domestic violence and abuse. Health & Social Care in the Community, 27(4), 856–862. https://doi.org/10.1111/hsc.12699

University of Washington. (2018). Using the PHQ-9:
A guide for medical assistants, front and back office staff. https://aims.uw.edu/sites/default/files/Talking%20with%20Patients%20about%20the%20PHQ-9_MA%20%26%20Office%20Staff.pdf

Wood, L., Backes, B., Baumler, E., & McGiffert, M. (2022). Examining the impact of duration, connection, and dosage of domestic violence services on survivor well-being. Journal of Family Violence, 37(2), 221–233. https://doi.org/10.1007/s10896-021-00298-x