# data[].attributes.headline
An abused woman/child/person brought "it on themselves"

# data[].attributes.subject
An abused woman/child/person brought "it on themselves"

# data[].attributes.headline
Lack of representation of certain populations in the workforce of health care providers.

# data[].attributes.subject
Lack of representation of certain populations in the workforce of health care providers.

# data[].attributes.headline
Assume homeless patients are dirty and "rich" patients are clean

# data[].attributes.subject
Assume homeless patients are dirty and "rich" patients are clean

# data[].attributes.body
Thinking a patient comes in the office in sweatpants that they don't have money

# data[].attributes.headline
Stigmas which impact acceptance of certain types of treatment as valuable

# data[].attributes.subject
Stigmas which impact acceptance of certain types of treatment as valuable

# data[].attributes.body
making a judgement that because a person is older they do not want to have straighter teeth.

# data[].attributes.body
not giving the patient all of the treatment options

# data[].attributes.headline
Assumptions that someone is drug-seeking

# data[].attributes.subject
Assumptions that someone is drug-seeking

# data[].attributes.headline
General appearance impacting providers perception of 'health'

# data[].attributes.subject
General appearance impacting providers perception of 'health'

# data[].attributes.headline
Inner city and rural residents not having access

# data[].attributes.subject
Inner city and rural residents not having access

# data[].attributes.body
Hours of service

# data[].attributes.headline
stereotyping patients - for example, making assumptions about drug use or abuse based on how a patient is perceived

# data[].attributes.subject
stereotyping patients - for example, making assumptions about drug use or abuse based on how a patient is perceived

# data[].attributes.headline
Not wanting to turn/boost up in bed a morbidly obese patient.  Is that really a bias or a protection as staff does not want to get hurt.

# data[].attributes.subject
Not wanting to turn/boost up in bed a morbidly obese patient.  Is that really a bias or a protection as staff does not want to get hurt.

# data[].attributes.body
Treating elderly patients differently. Example: They are not all hard of hearing

# data[].attributes.body
ability to get to health care services because of working 2 jobs

# data[].attributes.headline
'Fire' patient from your practice because have substance use disorder that is misunderstood by the provider

# data[].attributes.subject
'Fire' patient from your practice because have substance use disorder that is misunderstood by the provider

# data[].attributes.body
If this patient won't take care of themselves, why should we take care of them

# data[].attributes.headline
HCW frustrated when patient has biases such as not letting students share the visit

# data[].attributes.subject
HCW frustrated when patient has biases such as not letting students share the visit

# data[].attributes.body
"names of hospitals" may preclude someone for using the facility

# data[].attributes.headline
Misdiagnosis and assumptions made about patient's health behaviors 

# data[].attributes.subject
Misdiagnosis and assumptions made about patient's health behaviors 

# data[].attributes.headline
Not sharing all treatment options if patient is perceived to be of lower intelligence.

# data[].attributes.subject
Not sharing all treatment options if patient is perceived to be of lower intelligence.

# data[].attributes.headline
Lack of health care providers in certain areas

# data[].attributes.subject
Lack of health care providers in certain areas

# data[].attributes.headline
Comment overheard between healthcare workers by mother in waiting room crying with concern for her daughter (mother was a judge) "Look at the women over there crying over her junkie daughter'

# data[].attributes.subject
Comment overheard between healthcare workers by mother in waiting room crying with concern for her daughter (mother was a judge) "Look at the women over there crying over her junkie daughter'

# data[].attributes.body
Transportation issues

# data[].attributes.headline
Certain groups (black women, overweight) are assumed to be exaggerating about their symptoms, or providers attribute them to mental health instead of a physical problem

# data[].attributes.subject
Certain groups (black women, overweight) are assumed to be exaggerating about their symptoms, or providers attribute them to mental health instead of a physical problem

# data[].attributes.body
everyone deserves treatment

# data[].attributes.headline
Certain patients could be taken more seriously than others.

# data[].attributes.subject
Certain patients could be taken more seriously than others.

# data[].attributes.headline
seeing a name or a patient before treating could result in pre-bias

# data[].attributes.subject
seeing a name or a patient before treating could result in pre-bias

# data[].attributes.headline
Financial backing, lack of insurance involved re: lacking access to care

# data[].attributes.subject
Financial backing, lack of insurance involved re: lacking access to care

# data[].attributes.headline
HCW feels the patient caused their disease/condition by their own actions and resent treating the patient. 

# data[].attributes.subject
HCW feels the patient caused their disease/condition by their own actions and resent treating the patient. 

# data[].attributes.body
location of health care services, difficult location

# data[].attributes.headline
a patient could refuse care from a provider based upon personal bias

# data[].attributes.subject
a patient could refuse care from a provider based upon personal bias

# data[].attributes.headline
inequity in access to care based on poverty levels/insurance/

# data[].attributes.subject
inequity in access to care based on poverty levels/insurance/

# data[].attributes.body
Different pain treatments