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Evaluation of the McMaster Family Health Team: results and practical implications for quality improvement
  1. Laila Nasser1,
  2. Alix Stosic2,
  3. David Price2,3,4
  1. 1 Department of Emergency Medicine, McMaster University, Hamilton, Ontario, Canada
  2. 2 Department of Family Medicine, McMaster University Health Sciences, Hamilton, Ontario, Canada
  3. 3 McMaster Family Health Team, Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada
  4. 4 Department of Family Medicine, Hamilton Health Sciences, Hamilton, Ontario, Canada
  1. Correspondence to Dr Laila Nasser; laila.nasser{at}medportal.ca

Abstract

Purpose To evaluate the McMaster Family Health Team (MFHT) as part of a Continuous Quality Improvement initiative using a set of provincial performance metrics to demonstrate which measures of assessment are actually clinically meaningful in context and where system-level changes might be implemented to improve operational practice.

Methods Measures were selected from the Primary Care Performance Measurement Framework based on data availability for the MFHT and provincial comparators. The measures explored in this paper are those that were deemed to have actionable properties. Data were extracted from billing reports, electronic medical records and information collated for the Association of Family Health Teams of Ontario Data to Decisions database. Metrics were then examined to demonstrate the importance of interpretation in clinical context.

Conclusions Quantitative assessment of performance based on standardised measures is a suitable starting point when evaluating a practice, however it is not appropriate as a stand-alone report card of practice performance. Rather, quantitative measures must be of clinical relevance and applicable to the patient populations of interest in order to create conversation and impact change. Thus, the focus of quality improvement should not be to improve numbers relating to efficiency, patient satisfaction and continuity of care, but rather to determine what drives those numbers and how changes might be made at a system or practice level that will optimise clinician buy-in.

  • quality improvement
  • primary care
  • patient satisfaction
  • cost-effectiveness

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • Contributors LN did the majority of the writing and analysis, and planned for publication as first author. AS collected and organised the data and contributed to initial interpretation. DP oversaw the project, guided the analysis and assisted with content.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Patient consent Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement No additional data are available.