Hospital mergers and market overlap.
OBJECTIVE
To address two questions: What are the characteristics of hospitals that affect the likelihood of their being involved in a merger? What characteristics of particular pairs of hospitals affect the likelihood of the pair engaging in a merger?


METHODS
Hospitals in the 12 county region surrounding the San Francisco Bay during the period 1983 to 1992 were the focus of the study. Data were drawn from secondary sources, including the Lexis/Nexis database, the American Hospital Association, and the Office of Statewide Health Planning and Development of the State of California.


METHODS
Seventeen hospital mergers during the study period were identified. A random sample of pairs of hospitals that did not merge was drawn to establish a statistically efficient control set. Models constructed from hypotheses regarding hospital and market characteristics believed to be related to merger likelihood were tested using logistic regression analysis.


METHODS
See Data Sources/Study Setting.


RESULTS
The analysis shows that the likelihood of a merger between a particular pair of hospitals is positively related to the degree of market overlap that exists between them. Furthermore, market overlap and performance difference interact in their effect on merger likelihood. In an analysis of individual hospitals, conditions of rivalry, hospital market share, and hospital size were not found to influence the likelihood that a hospital will engage in a merger.


CONCLUSIONS
Mergers between hospitals are not driven directly by considerations of market power or efficiency as much as by the existence of specific merger opportunities in the hospitals' local markets. Market overlap is a condition that enables a merger to occur, but other factors, such as the relative performance levels of the hospitals in question and their ownership and teaching status, also play a role in influencing the likelihood that a merger will in fact take place.
Brooks
G R
GR
Department of Management, University of Pennsylvania, Philadelphia 19104-6370, USA.
Jones
V G
VG
D002391:Catchment Area, Health / Q000191:economics*; D004465:Economic Competition / Q000706:statistics & numerical data*; D017598:Efficiency, Organizational; D006273:Health Facility Merger / Q000191:economics*; D006301:Health Services Needs and Demand; D006302:Health Services Research; D006801:Humans; D016015:Logistic Models; D008389:Marketing of Health Services; D012495:San Francisco