Literature DB >> 2016169

Hospital discharge decisions, health outcomes, and the use of unobserved information on case-mix severity.

S C Stearns1.   

Abstract

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.

Entities:  

Mesh:

Year:  1991        PMID: 2016169      PMCID: PMC1069809     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  12 in total

1.  Lessons of the New Jersey DRG payment system.

Authors:  W C Hsiao; H M Sapolsky; D L Dunn; S L Weiner
Journal:  Health Aff (Millwood)       Date:  1986       Impact factor: 6.301

2.  Evaluating individual hospital quality through outcome statistics.

Authors:  H S Luft; S S Hunt
Journal:  JAMA       Date:  1986 May 23-30       Impact factor: 56.272

3.  Estimating undersupply of nursing home beds in states.

Authors:  J H Swan; C Harrington
Journal:  Health Serv Res       Date:  1986-04       Impact factor: 3.402

4.  The impact of Medicare's prospective payment system on Wisconsin nursing homes.

Authors:  M A Sager; E A Leventhal; D V Easterling
Journal:  JAMA       Date:  1987-04-03       Impact factor: 56.272

5.  Assessing Medicare's prospective payment system.

Authors:  C Davis
Journal:  JAMA       Date:  1987-04-03       Impact factor: 56.272

6.  Utilization of hospital services: the roles of teaching, case mix, and reimbursement.

Authors:  E R Becker; F A Sloan
Journal:  Inquiry       Date:  1983       Impact factor: 1.730

7.  The effect of hospital characteristics and organizational factors on pre- and postoperative lengths of hospital stay.

Authors:  L J Cannoodt; J R Knickman
Journal:  Health Serv Res       Date:  1984-12       Impact factor: 3.402

8.  Effect of DRGs on three-month readmission rate of geriatric patients with congestive heart failure.

Authors:  M W Rich; K E Freedland
Journal:  Am J Public Health       Date:  1988-06       Impact factor: 9.308

9.  Outcomes of surgery among the Medicare aged: surgical volume and mortality.

Authors:  G Riley; J Lubitz
Journal:  Health Care Financ Rev       Date:  1985

10.  Impact of the Medicare prospective payment system for hospitals.

Authors:  S Guterman; A Dobson
Journal:  Health Care Financ Rev       Date:  1986
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