Literature DB >> 30080711

How different governance models may impact physician-hospital alignment.

Lawton R Burns1, Jeffrey A Alexander, Ronald M Andersen.   

Abstract

BACKGROUND: Hospitals utilize three ideal type models for governing relationships with their physicians: the traditional medical staff, strategic alliances, and employment. Little is known about how these models impact physician alignment.
PURPOSE: The study compares the level of physician-hospital alignment across the three models. APPROACH: We used survey data from 1,895 physicians in all three models across 34 hospitals in eight systems to measure several dimensions of alignment. We used logistic equations to predict survey nonresponse and differential physician selection into the alliance and employment models. Controlling for these selection effects, we then used multiple regression to estimate the effects of alliance and employment models on alignment.
RESULTS: Physicians in employment models express greater alignment with their hospital on several dimensions, compared to physicians in alliances and the traditional medical staff. There were no differences in physician alignment between the latter two models.
CONCLUSIONS: Employment models promote greater alignment on some (but not all) dimensions, controlling for physician selection. The impact of employment on alignment is not large, however. PRACTICE IMPLICATIONS: Hospitals and accountable care organizations that rely on employment may achieve higher physician alignment compared to the other two models. It is not clear that the gain in alignment is worth the cost of employment. Given the small impact of employment on alignment, it is also clear that they are not identical. Hospitals may need to go beyond structural models of integration to achieve alignment with their physicians.

Mesh:

Year:  2020        PMID: 30080711     DOI: 10.1097/HMR.0000000000000214

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


  1 in total

1.  Understanding U.S. Health Systems: Using Mixed Methods to Unpack Organizational Complexity.

Authors:  M Susan Ridgely; Erin Duffy; Laura Wolf; Mary Vaiana; Dennis Scanlon; Christine Buttorff; Brigitt Leitzell; Sangeeta Ahluwalia; Lara Hilton; Denis Agniel; Amelia Haviland; Cheryl L Damberg
Journal:  EGEMS (Wash DC)       Date:  2019-08-02
  1 in total

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