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Watch this video on why 'Dynamic' Data is better than 'Static' data! Can you think of times where you have seen data presented in a static way that could have been shown differently?

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Health Foundation Guide

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It is not possible to suggest that a certain approach or a particular tool is most effective for measuring people's experience.

However, the evidence suggests 10 things to consider when measuring changes in patient and carer experience over time.

1. Consider how patient experience is being defined to inform exactly what needs to be measured.

2. Think about why patient experience is being measured and how the information will be used.

3. Assess whether it would be useful to combine approaches so that both qualitative and more quantitative material is collected.

4. Consider whether to ask everyone using the services or only a sample to provide feedback.

5. Think about whether the best time to collect feedback is immediately after using the services, when experiences are fresh in people's minds.

6. Allocate enough time at the outset to plan and test measurement methods, particularly if these will be used for many years to monitor change over time.

7. Think about how the end result needs to be presented for various audiences as this may shape how data are collected. Potential outputs include statistical averages, in-depth quotes or graphs.

8. Make sure that there is appropriate infrastructure at an organisational level to analyse and use patient experience information.

9. Make sure that patients, carers, managers and health professionals are all comfortable with why feedback is being collected and how it will be used. Staff need to be on board as well as patients.

10. Ensure that patient experience measures are seen as one component of a broader framework of measurement and that all of the approaches work well together, without excessive burden for either staff or patients.

How has the experience of patients and carers been measured in healthcare? What are the pros and cons of different approaches for measuring improvement over time?
This evidence scan provides an accessible overview of the range of methods that have been used to measure patient experience, in order to help practitioners, planners and researchers consider the best approaches for their own local improvement initiatives. However, the focus is on compiling broad themes from the literature, not providing summaries of individual studies or tools.

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Measuring patient experience | The Health Foundation

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Unfortunately, your browser is too old to work on this website. Please upgrade your browser It is not possible to suggest that a certain approach or a particular tool is most effective for measuring people's experience. However, the evidence suggests 10 things to consider when measuring changes in patient and carer experience over time.

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Download this excel control chart with the example data input. Remember to SAVE AS and rename the tool so you can use it on your laptop.

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Kingsfund - Data Visualisation - NHS in a nutshell

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Kingsfund - Data Visualisation - NHS in a nutshell

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Essential facts and figures to understand how the NHS works

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One little pebble - Power of Storytelling

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One little pebble - Power of Storytelling

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Institute for Healthcare Improvement - IHI

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One little pebble: Tiffany Christensen on the power of storytelling

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From data to Viz | Find the graphic you need

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A classification of all possible chart types classified following the input data format.

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Feel free to use this example data set to test the control chart

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QPS Control Chart and Analysis Example Data Set

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Join Future NHS - Gain Access to Making Data Count Live Sessions

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Join Future NHS - Gain Access to Making Data Count Live Sessions

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Sign up with your NHS Wales e-mail to gain access to lots of collaborative content PLUS you can sign up to the live Making Data count sessions via this platform

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New members - Request access

To request an invitation for the FutureNHS platform, please tell us the details of the workspace you are wanting to join and the reason for joining in the "How can we help you?" section of the support form.

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To request an invitation for the FutureNHS platform, please tell us the details of the workspace you are wanting to join and the reason for joining in the "How can we help you?" section of the support form.

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“Plotting measurements over time turns out, in my view, to be one of the most powerful things we have for systemic learning.” Don Berwick

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Making Data Count - Strengthening Your Decisions

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Making Data Count - Strengthening Your Decisions

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More useful guidance on strengthening your decision making

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Measurement for Improvement Analysis Framework - PowerPoint Template with Guidance

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Measurement for Improvement Analysis Framework - PowerPoint Template with Guidance

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PowerPoint template for displaying your Control Chart data

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Watch this video about Run Charts (time series data) and some of the key rules that you need to understand in order to interpret your time series data.

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Read this short guide on using run charts - this should hopefully clarify the information from the video and the idea of 'phasing' a run chart when there is statistical evidence of a 'Shift'.

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Quick Reference Guide for SPC Rules / Special Cause

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Quick reference guide for Run Chart rules.
Remember: shifts rely on the median, trends do not.
Rule 3 is often an indicator that you need to investigate your data further and perhaps pull it apart - there may be two or more different processes going on (e.g. it's the data for several wards, there is a difference between night/day, weekday/weekend, aggregated lab results). There is a table below that will help you work this out.

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Read this short intro to Control Charts / Statistical Process Control

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Easy to use Control Chart Tool - Individual (I) Chart (also known as X-MR). General use control chart. Download to desktop and enable for use. Again test the example data to see if you can get this to work, we will go through this in session and we will test some further examples.

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Quick Reference Guide for Run and Control Chart Rules

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Quick Reference Guide for Run and Control Chart Rules

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Download this simple-to-use Run Chart Tool onto your desktop. Enable it, follow the instructions and use the example data within the tool to see if you can use it. Once confident, try and stratify the example data. Why not use some of your own data within the tool? We will test the tool in the Module 4 learning session.

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Read about the 2 principles for presenting data

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Rule 3 Table for Run Charts - Too Few or Too Many 'Runs'

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Rule 3 Table for Run Charts - Too Few or Too Many 'Runs'

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Consult this table if you suspect your data is crossing the median too many or too few times - this will give you an indication if statistically there is something worth exploring with your data (i.e. investigate it and pull it apart).

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Control Charts - Interpreting Your Data Guide

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Control Charts - Interpreting Your Data Guide

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Read this Control Chart 'Rules' and What They Mean Guide - they are slightly different to run chart rules. We will talk about this in session.