A positive deviance approach to understanding key features to improving diabetes care in the medical home

Robert A. Gabbay, Mark W. Friedberg, Michelle Miller-Day, Peter F. Cronholm, Alan Adelman, Eric C. Schneider

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

PURPOSE The medical home has gained national attention as a model to reorganize primary care to improve health outcomes. Pennsylvania has undertaken one of the largest state-based, multipayer medical home pilot projects. We used a positive deviance approach to identify and compare factors driving the care models of practices showing the greatest and least improvement in diabetes care in a sample of 25 primary care practices in southeast Pennsylvania. METHODS We ranked practices into improvement quintiles on the basis of the average absolute percentage point improvement from baseline to 18 months in 3 registry-based measures of performance related to diabetes care: glycated hemoglobin concentration, blood pressure, and low-density lipoprotein cholesterol level. We then conducted surveys and key informant interviews with leaders and staff in the 5 most and least improved practices, and compared their responses. RESULTS The most improved/higher-performing practices tended to have greater structural capabilities (eg, electronic health records) than the least improved/ lower-performing practices at baseline. Interviews revealed striking differences between the groups in terms of leadership styles and shared vision; sense, use, and development of teams; processes for monitoring progress and obtaining feedback; and presence of technologic and fi nancial distractions. CONCLUSIONS Positive deviance analysis suggests that primary care practices' baseline structural capabilities and abilities to buffer the stresses of change may be key facilitators of performance improvement in medical home transformations. Attention to the practices' structural capabilities and factors shaping successful change, especially early in the process, will be necessary to improve the likelihood of successful medical home transformation and better care.

Original languageEnglish (US)
Pages (from-to)S99-S107
JournalAnnals of family medicine
Volume11
Issue numberSUPPL. 1
DOIs
StatePublished - Jan 1 2013

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Patient-Centered Care
Primary Health Care
Interviews
Aptitude
Electronic Health Records
Glycosylated Hemoglobin A
LDL Cholesterol
Registries
Buffers
Blood Pressure
Health

All Science Journal Classification (ASJC) codes

  • Family Practice

Cite this

Gabbay, R. A., Friedberg, M. W., Miller-Day, M., Cronholm, P. F., Adelman, A., & Schneider, E. C. (2013). A positive deviance approach to understanding key features to improving diabetes care in the medical home. Annals of family medicine, 11(SUPPL. 1), S99-S107. https://doi.org/10.1370/afm.1473
Gabbay, Robert A. ; Friedberg, Mark W. ; Miller-Day, Michelle ; Cronholm, Peter F. ; Adelman, Alan ; Schneider, Eric C. / A positive deviance approach to understanding key features to improving diabetes care in the medical home. In: Annals of family medicine. 2013 ; Vol. 11, No. SUPPL. 1. pp. S99-S107.
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Gabbay, RA, Friedberg, MW, Miller-Day, M, Cronholm, PF, Adelman, A & Schneider, EC 2013, 'A positive deviance approach to understanding key features to improving diabetes care in the medical home', Annals of family medicine, vol. 11, no. SUPPL. 1, pp. S99-S107. https://doi.org/10.1370/afm.1473

A positive deviance approach to understanding key features to improving diabetes care in the medical home. / Gabbay, Robert A.; Friedberg, Mark W.; Miller-Day, Michelle; Cronholm, Peter F.; Adelman, Alan; Schneider, Eric C.

In: Annals of family medicine, Vol. 11, No. SUPPL. 1, 01.01.2013, p. S99-S107.

Research output: Contribution to journalArticle

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N2 - PURPOSE The medical home has gained national attention as a model to reorganize primary care to improve health outcomes. Pennsylvania has undertaken one of the largest state-based, multipayer medical home pilot projects. We used a positive deviance approach to identify and compare factors driving the care models of practices showing the greatest and least improvement in diabetes care in a sample of 25 primary care practices in southeast Pennsylvania. METHODS We ranked practices into improvement quintiles on the basis of the average absolute percentage point improvement from baseline to 18 months in 3 registry-based measures of performance related to diabetes care: glycated hemoglobin concentration, blood pressure, and low-density lipoprotein cholesterol level. We then conducted surveys and key informant interviews with leaders and staff in the 5 most and least improved practices, and compared their responses. RESULTS The most improved/higher-performing practices tended to have greater structural capabilities (eg, electronic health records) than the least improved/ lower-performing practices at baseline. Interviews revealed striking differences between the groups in terms of leadership styles and shared vision; sense, use, and development of teams; processes for monitoring progress and obtaining feedback; and presence of technologic and fi nancial distractions. CONCLUSIONS Positive deviance analysis suggests that primary care practices' baseline structural capabilities and abilities to buffer the stresses of change may be key facilitators of performance improvement in medical home transformations. Attention to the practices' structural capabilities and factors shaping successful change, especially early in the process, will be necessary to improve the likelihood of successful medical home transformation and better care.

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