Literature DB >> 16093884

Measuring the culture of medical group practices.

John Kralewski1, Bryan E Dowd, Amer Kaissi, Ann Curoe, Todd Rockwood.   

Abstract

OBJECTIVE: To develop an instrument that can be used to assess the organizational culture of medical group practices. DATA SOURCES AND STUDY
SETTING: Study participants were primary care physicians in 267 medical group practices. The iterative process began in Minnesota and then expanded to practices in 21 other states. DATA COLLECTION
METHODS: Practice culture statements were collected using questionnaires distributed at a national medical group practice meeting and mailed questionnaires sent to a broader set of participants identified by the Medical Group Management Association. STUDY
DESIGN: Using a framework developed earlier, physicians in medical groups were asked to react to statements that described the basic assumptions and patterns of behavior characteristic of their practices. An iterative process involving over 500 physicians in 267 practices was used to identify and refine statements. Factor analysis was used to group the statements into cohesive cultural dimensions. PRINCIPAL
FINDINGS: Thirty-nine statements correlated with nine cultural dimensions were identified and a test of this instrument found that it successfully identified differences in the cultures of medical groups.
CONCLUSIONS: Although there is increasing agreement that the culture of medical group practices is one of the most important factors influencing the cost and quality of care, efforts to understand and manage these cultures have been hampered by the lack of a measurement instrument. This article presents an instrument that has broad face validity in the group practice field and successfully differentiates the cultures of different types of practices.

Entities:  

Mesh:

Year:  2005        PMID: 16093884     DOI: 10.1097/00004010-200507000-00002

Source DB:  PubMed          Journal:  Health Care Manage Rev        ISSN: 0361-6274


  20 in total

1.  Different paths to high-quality care: three archetypes of top-performing practice sites.

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Review 2.  Disentangling the Linkage of Primary Care Features to Patient Outcomes: A Review of Current Literature, Data Sources, and Measurement Needs.

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3.  Physician styles of patient management as a potential source of disparities: cluster analysis from a factorial experiment.

Authors:  Karen E Lutfey; Eric Gerstenberger; John B McKinlay
Journal:  Health Serv Res       Date:  2012-10-22       Impact factor: 3.402

4.  The relationships of physician practice characteristics to quality of care and costs.

Authors:  John Kralewski; Bryan Dowd; David Knutson; Junliang Tong; Megan Savage
Journal:  Health Serv Res       Date:  2014-10-06       Impact factor: 3.402

5.  Physician styles of decision-making for a complex condition: Type 2 diabetes with co-morbid mental illness.

Authors:  Felicia L Trachtenberg; David M Pober; Lisa C Welch; John B McKinlay
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6.  Organizational culture and its relationship with hospital performance in public hospitals in China.

Authors:  Ping Zhou; Kate Bundorf; Ji Le Chang; Jin Xin Huang; Di Xue
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7.  Does the culture of a medical practice affect the clinical management of diabetes by primary care providers?

Authors:  Rebecca Shackelton; Carol Link; Lisa Marceau; John McKinlay
Journal:  J Health Serv Res Policy       Date:  2009-04

8.  Interpersonal continuity of care: a cross-sectional survey of primary care patients' preferences and their experiences.

Authors:  Richard Baker; Mary Boulton; Kate Windridge; Carolyn Tarrant; John Bankart; George K Freeman
Journal:  Br J Gen Pract       Date:  2007-04       Impact factor: 5.386

9.  Patient-centered medical home among small urban practices serving low-income and disadvantaged patients.

Authors:  Carolyn A Berry; Tod Mijanovich; Stephanie Albert; Chloe H Winther; Margaret M Paul; Mandy Smith Ryan; Colleen McCullough; Sarah C Shih
Journal:  Ann Fam Med       Date:  2013 May-Jun       Impact factor: 5.166

10.  Variations among primary care physicians in exercise advice, imaging, and analgesics for musculoskeletal pain: results from a factorial experiment.

Authors:  Nancy N Maserejian; Michael A Fischer; Felicia L Trachtenberg; Jing Yu; Lisa D Marceau; John B McKinlay; Jeffrey N Katz
Journal:  Arthritis Care Res (Hoboken)       Date:  2014-01       Impact factor: 4.794

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