Hospital discharge decisions, health outcomes, and the use of unobserved information on case-mix severity.
Although implementation of the Medicare prospective payment system has been accompanied by significant decreases in hospital length of stay, the early discharge of some patients may lead to worse health outcomes, particularly if sufficient aftercare services following hospitalization are not available. This article develops an empirical model of the relationship between the choice of length of stay and patient outcome. The model incorporates information on the severity of a patient's medical condition known by the physician who chooses length of stay for a patient but generally not known by a researcher interested in the factors that affect length of stay and health outcome. Joint estimation of equations for length of stay and health outcome controls for unmeasured aspects of case severity that affect both variables. The ratio of nursing home beds to Medicare enrollees in the county is included as an exogenous variable in both equations to assess whether variation in nursing home bed availability is correlated with length of stay or health outcome. The model is estimated using billing data for Medicare patients admitted with congestive heart failure to New Jersey hospitals during 1982 and 1983. Two measures of outcome are used: (1) a discrete measure of survival time following admission, and (2) a categorical measure of whether or not the patient was discharged dead or died within six months after discharge. Empirical results show no evidence that longer lengths of stay for congestive heart failure patients lead to lower postadmission mortality. However, greater availability of nursing home beds may reduce length of stay and may shift the provision of terminal care away from a hospital setting. Therefore, policies to expand the nursing home bed supply may enable further decreases in hospital length of stay without deleterious effect on patient outcome.
Stearns
S C
SC
Department of Health Policy and Administration, School of Public Health, University of North Carolina, Chapel Hill 27599-7400.
D000368:Aged; D003657:Decision Making; D005260:Female; D006333:Heart Failure / Q000191:economics / Q000453:epidemiology / Q000401:mortality; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data*; D016013:Likelihood Functions; D008297:Male; D006278:Medicare / Q000706:statistics & numerical data; D015233:Models, Statistical; D009515:New Jersey / Q000453:epidemiology; D010043:Outcome and Process Assessment, Health Care / Q000706:statistics & numerical data*; D010351:Patient Discharge / Q000706:statistics & numerical data*; D012720:Severity of Illness Index; D015996:Survival Rate; D014481:United States