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

Area of Science:

• Health Services Research
• Organizational Behavior
• Healthcare Management

Background:

• Vertical integration of hospitals and physician organizations presents opportunities for health systems to enhance performance.
• Limited understanding exists regarding the on-the-ground organization of health systems and their influence on frontline physician practices.
• Existing research often relies on secondary data, lacking granular insights into operational realities.

Purpose of the Study:

• To investigate the organizational structures and influence mechanisms employed by health systems.
• To understand the variation in how health systems impact physician practice.
• To identify key drivers of performance within integrated health systems.

Main Methods:

• A mixed-methods approach was utilized, involving in-depth data collection from eight health systems.
• Key informant interviews, descriptive surveys, and document reviews provided comprehensive information.
• Systematic coding of qualitative data facilitated the analysis of organizational structures and influence mechanisms.

Main Results:

• Health systems exhibit significant variation in organizational structure (size, complexity) influenced by history, market, and mission.
• Mechanisms for influencing physician practice, such as physician employment, electronic health records (EHR), and service line standardization, varied within systems.
• The level of influence exerted by health systems also demonstrated considerable within-system variation, with "core" versus "peripheral" distinctions proving more relevant than ownership models.

Conclusions:

• Secondary data sources are insufficient for fully characterizing health systems and their internal variations.
• Detailed, nuanced information on health system characteristics is essential for accurately assessing their performance influence.
• The mixed-methods approach provided granular qualitative data, enabling a deeper understanding of multi-layered health systems and their performance drivers.