Literature DB >> 7152966

Why physicians choose different types of practice settings.

F D Wolinsky.   

Abstract

This paper presents an extension of Freidson's typology concerning the four medical practice settings which physicians may enter. First, Freidson's typology is modified to contain only three medical practice settings: 1) solo practices; 2) small group practices (partnerships or associations consisting of two to seven physicians); and, 3) large group practices (having eight or more physicians). Then, it is argued that the most interesting sociological difference between these three medical practice settings is the differential probability for effective peer regulation, with that probability lowest in solo practices, highest in large group practices, and lying somewhere between these extremes in small group practices. Finally, it is argued that because physicians recognize these differential probabilities for peer regulation, they seek out those niches (i.e., medical practice settings) which most closely reflect their preferences. This extended version of Freidsonian theory is then incorporated into an analytic model using the sociodemographic, environmental, and attitudinal characteristics of physicians to predict their practice choices. Data from a 1979 national survey of approximately 4,500 physicians are used to assess the model empirically. The results obtained from these analyses conform quite well with both our general and specific expectations. The implications of these findings for the future configuration of the American health care delivery system are discussed with special reference to health maintenance organizations.

Mesh:

Year:  1982        PMID: 7152966      PMCID: PMC1068700     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  7 in total

1.  The sick role and the role of the physician reconsidered.

Authors:  T Parsons
Journal:  Milbank Mem Fund Q Health Soc       Date:  1975

2.  The ecology of group medical practice in the United States.

Authors:  M I Roemer; J A Mera; W Shonick
Journal:  Med Care       Date:  1974-08       Impact factor: 2.983

3.  Medical group practice in the United States: patterns of survival between 1969 and 1975.

Authors:  L J Freshnock; L J Goodman
Journal:  J Health Soc Behav       Date:  1979-12

4.  Alternative regression approaches to the analysis of medical care survey data.

Authors:  B Kobashigawa; S E Berki
Journal:  Med Care       Date:  1977-05       Impact factor: 2.983

Review 5.  The performance of Health Maintenance Organizations: an analytic review.

Authors:  F D Wolinsky
Journal:  Milbank Mem Fund Q Health Soc       Date:  1980

6.  Discrimination between alternative binary response models.

Authors:  E A Chambers; D R Cox
Journal:  Biometrika       Date:  1967-12       Impact factor: 2.445

7.  Spending time with patients: the impact of organizational structure on medical practice.

Authors:  F D Wolinsky; W D Marder
Journal:  Med Care       Date:  1982-10       Impact factor: 2.983

  7 in total
  3 in total

1.  Office-based management of opioid dependence with buprenorphine: clinical practices and barriers.

Authors:  Alexander Y Walley; Julie K Alperen; Debbie M Cheng; Michael Botticelli; Carolyn Castro-Donlan; Jeffrey H Samet; Daniel P Alford
Journal:  J Gen Intern Med       Date:  2008-09       Impact factor: 5.128

2.  The attitudes of physicians toward health care cost-containment policies.

Authors:  L Ku; D Fisher
Journal:  Health Serv Res       Date:  1990-04       Impact factor: 3.402

3.  The variety of primary healthcare organisations in Australia: a taxonomy.

Authors:  John Rodwell; Andre Gulyas
Journal:  BMC Health Serv Res       Date:  2013-04-08       Impact factor: 2.655

  3 in total

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