1 / 47

PRIMIS: A Mine of Information

PRIMIS: A Mine of Information. Dr Pete Horsfield and Sheila Teasdale. Background. Data extraction over 4 years Data quality Coronary heart disease Diabetes Asthma Severe mental illness Hypertension 4000 practices 26.5 million patient records Primary focus on data quality

uri
Download Presentation

PRIMIS: A Mine of Information

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. PRIMIS: A Mine of Information Dr Pete Horsfield and Sheila Teasdale

  2. Background • Data extraction over 4 years • Data quality • Coronary heart disease • Diabetes • Asthma • Severe mental illness • Hypertension • 4000 practices • 26.5 million patient records • Primary focus on data quality • Scope for improving analysis and presentation? • Scope for alternative uses?

  3. Issues • Data quality • Possible to measure? • Selection bias • Service imperative vs ‘research’ imperative • Query amendment • Asynchrony • Adding value

  4. Comparative prevalence of CHD in 2002 and 2003

  5. % Treatment with aspirin

  6. % Treatment with statins

  7. % No aspirin or statin

  8. % Recording of serum cholesterol < 1 year

  9. % BP recording in last year

  10. Diabetes prevalence 2003

  11. Diabetes: HbA1c < 1 year

  12. Diabetes: Latest HbA1c <= 7.5 in last year

  13. Diabetes: BP record in last year

  14. Diabetes: Latest BP < 140/85 in last year

  15. PRIMIS: A mine of information The Data Quality Aspect Sheila Teasdale PRIMIS Service Director

  16. Issues and challenges • Data quality • Possible to measure? • Selection bias • Service imperative vs ‘research’ imperative • Query amendment • Asynchrony • Scope for improving analysis and presentation? • Scope for alternative uses?

More Related