In an ongoing discussion the percentage of people identified with Diabetes II (as one of several ambulatory care sensitive conditions -ACSC's) which are hospitalized with a diagnosis of Diabetes or a complikation of DM II is seen as an quality indicator for the healthcare of a region.
Is there experience or evidence for such an indicator elswhere?
We have done a similar project in the field of coronary heart disease - see link (work done in German)
Thanks Jill and Ali! very helpful!
We just try to aply the OECD framework for indicators which was used - to some extent for the Euro diabets Index 2014. There the main problem is comparability and availability of data. What we try to overcome is the gap between process indicators - like access to testing - and (long time) outcome indicators like amputation and dialysis.
Using the search "ambulatory care sensitive conditions AND diabetes AND indicators " in pubmed shows some literature.
Usually only a ratio of ACSC's (DM Type II) of the local population is used. Ratios or percentages of ACSC's of the local DM type II population is not used. I think that's due to limitations in the measurement = data availability.
I understand now. I view the Euro Index as the Telescope looking at broad information which generally reflect processes. You seem to be looking for an appropriate Microscope to examine the outcome of these processes and follow them over time.
We have used the Cardiab database for 20 years now. It needs a robust strengthening but comes well credentialed by leading universities for its provision of laboratory cohort data for 3000 people being looked after in Primary Care. This number represents 93% of the total number of people with known diabetes in a small country area. As well 95% of the total General Practitioners in Primary Care use the Program, it is driven by Diabetes Nurse consultants who deliver the education for patients, Surgeries and GPs and most importantly deliver to each GP their individual performance in diabetes care delivery as well as a comparison of the whole areas performance.
Establishment of a back end database allows us to use the cohort data for any query we may have. This keeps the direction and needs of the area alive and able to be targeted
I have attached all the datasets for Diabetes and CVD. Hope I am on the track your on.
Thank you
Yes - it's a mix of telescope and microscope as you call it.
The literature you added is great food for thought.
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