Se ha denunciado esta presentación.
Utilizamos tu perfil de LinkedIn y tus datos de actividad para personalizar los anuncios y mostrarte publicidad más relevante. Puedes cambiar tus preferencias de publicidad en cualquier momento.

But What Do These Numbers Represent?!?

402 visualizaciones

Publicado el

This presentation was delivered at the Quality Forum 2016 by Andrew Wray.

For more information, visit www.QualityForum.ca

Publicado en: Atención sanitaria
  • Sé el primero en comentar

  • Sé el primero en recomendar esto

But What Do These Numbers Represent?!?

  1. 1. But What Do These Numbers Represent?!? Quality Forum 2016
  2. 2. Outline • Purposes of measurement in health care • Sources of data and their characteristics • Key questions to ask of any indicators • Some examples of indicators
  3. 3. Source: Solberg LI, Moser G, McDonald S. (1997) The three faces of performance measurement: Improvement, Accountability and Research. Journal of Quality Improvement, 23(3).
  4. 4. Source: Solberg LI, Moser G, McDonald S. (1997) The three faces of performance measurement: Improvement, Accountability and Research. Journal of Quality Improvement, 23(3).
  5. 5. Source: Solberg LI, Moser G, McDonald S. (1997) The three faces of performance measurement: Improvement, Accountability and Research. Journal of Quality Improvement, 23(3).
  6. 6. Source: Solberg LI, Moser G, McDonald S. (1997) The three faces of performance measurement: Improvement, Accountability and Research. Journal of Quality Improvement, 23(3).
  7. 7. Measurement systems • It is not ideal to use a measurement system for a purpose other than for which it was designed.
  8. 8. Measurement source examples • Manual data collection on a local unit • EMR extract about the patient panel of a clinic • Discharge abstract database • Patient questionnaires
  9. 9. Data Quality 1. Accuracy 2. Timeliness 3. Comparability 4. Usability 5. Relevance Canadian Institute for Health Information, The CIHI Data Quality Framework, 2009 (Ottawa, Ont.: CIHI, 2009)
  10. 10. Considerations for decision makers 1. Accuracy 2. Timeliness 3. Comparability 4. Usability 5. Relevance Canadian Institute for Health Information, The CIHI Data Quality Framework, 2009 (Ottawa, Ont.: CIHI, 2009)
  11. 11. Key questions –How was this data collected? –How is the indicator defined and calculated? –How are we performing?
  12. 12. How was this data collected? • Why was it collected? • What is the source? • What is missing? • What are the sources of error?
  13. 13. How is the indicator defined and calculated? • Inclusions and exclusions? • Risk adjustment? • Aggregation?
  14. 14. How are we performing? • Are we getting better or worse? • Is our performance acceptable? • Is the performance stable? • Do we have more or less variability?
  15. 15. Hip Fracture within 48 hours • Data source: DAD • Level of aggregation – HA • Inclusion – 65+ • Calculation – within 48/total number of fractures • Performance – 80ish percent
  16. 16. • Data source: DAD • Level of aggregation – HA • Exclusion – Newborn, obstetric, and mental health • Calculation – Number of any of the events per 1000 discharge • Performance – 25ish percent Nurse sensitive adverse event rate

×