Assessing hospital administrators' responses to prospective payment. A case study in New Mexico.
Few studies have assessed the relationship between hospital administrators' efforts at planning and subsequent performance of health care organizations. Nonetheless, planning is viewed as an important mechanism for aligning health services delivery efforts with community needs and operating constraints. When prospective payment (PPS) was first introduced, hospital administrators had little choice other than to plan how they would respond to the new reimbursement policies. However, it is unclear whether they actively undertook planning in an effort to address prospective payment and related pressures. This article presents a case study of rural New Mexico hospital administrators' efforts to respond to prospective payment. Two dimensions of planning effort by administrators--intensity and formality--are analyzed within rural hospitals during the PPS transition (i.e., 1983 to 1987) and after its full implementation (i.e., since 1988). The findings suggest that planning intensity during the PPS transition is associated with higher performance; notably, higher net patient care revenues, lower costs per patient day, higher operating margins, higher net income, and higher planning effectiveness. However, the strength of these associations weakened as PPS was fully implemented. Given the exploratory nature of this evaluative case study, the results should be viewed as preliminary until confirmed by larger studies. The implications for research that evaluates planning-performance relationships in the health care field are discussed.
University of New Mexico.
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HL
Smith
A H
AH
McNamee
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Piland
D001291:Attitude of Health Personnel; D003625:Data Collection; D003659:Decision Making, Organizational; D006302:Health Services Research; D006740:Hospital Administrators / Q000706:statistics & numerical data*; D006780:Hospitals, Rural / Q000191:economics* / Q000706:statistics & numerical data; D016018:Least-Squares Analysis; D008137:Longitudinal Studies; D015233:Models, Statistical; D009516:New Mexico; D011445:Prospective Payment System / Q000706:statistics & numerical data*