1. Measurement is a fundamental part of quality improvement in healthcare.
2. Here’s a #tweetorial on measurement for improvement, mostly addressing common pitfalls and how to avoid them
🌿Inspired by this excellent paper from @MaryDixonWoods and team
qualitysafety.bmj.com
#QI #quality #meded @TheQCommunity @MedTweetorials
🌿Inspired by this excellent paper from @MaryDixonWoods and team
qualitysafety.bmj.com
#QI #quality #meded @TheQCommunity @MedTweetorials
8. Where possible, try and choose measures which are routinely collected, at least for your outcome measures
If choosing ex novo outcome measures, ask yourself why.
If choosing ex novo outcome measures, ask yourself why.
9.đźź Weigh up the need to capture these outcomes vs the extra work required
đźź You likely have a fixed amount of resource (people/time/money) to do your project.
đźź So > resource required to do measurement, equates to < resource available to plan and implement your change ideas
đźź You likely have a fixed amount of resource (people/time/money) to do your project.
đźź So > resource required to do measurement, equates to < resource available to plan and implement your change ideas
11. đźź You also need to determine the frequency of measurement.
đźź Having fewer measures, which you collect & review frequently will allow you to be more responsive to the data
đźź Having fewer measures, which you collect & review frequently will allow you to be more responsive to the data
13. Sometimes baseline data can be collected retrospectively, but not always – another thing to be aware of, if choosing ex novo measures
14. 🪂To ensure data collection is as accurate as possible, you can use templates/proformas/protocols etc – but the difficult part is ensuring that these get used
🪂IT solutions can be helpful.
🪂IT solutions can be helpful.
15. Using the bowel cancer screening example, you can use programmes that enter a code in the patients digital GP record when SMS reminders are sent.
This can then be searched for electronically to identify the no. of patients who received a SMS and then took up screening
This can then be searched for electronically to identify the no. of patients who received a SMS and then took up screening
16. But no method is fool proof – so try & validate your data collection method & determine what degree of error you are willing to accept
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