The effect of hospital volume on the in-hospital complication rate in kneereplacement patients

Citation
Ec. Norton et al., The effect of hospital volume on the in-hospital complication rate in kneereplacement patients, HEAL SERV R, 33(5), 1998, pp. 1191-1210
Citations number
30
Categorie Soggetti
Public Health & Health Care Science","Health Care Sciences & Services
Journal title
HEALTH SERVICES RESEARCH
ISSN journal
00179124 → ACNP
Volume
33
Issue
5
Year of publication
1998
Part
1
Pages
1191 - 1210
Database
ISI
SICI code
0017-9124(199812)33:5<1191:TEOHVO>2.0.ZU;2-0
Abstract
Objective. To examine the effect of hospital volume on in-hospital surgical outcomes for knee replacement using six years of Medicare claims data. Data Sources/Study Setting. The data include inpatient claims for a 100 per cent sample of Medicare patients who underwent primary knee replacement dur ing 1985-1990. We supplemented these data with information from HCFA's deno minator files, the Area Resource File, and the American Hospital Associatio n survey files. Study Design. We estimated the probability that a patient has an in-hospita l complication in the initial hospitalization for the first primary knee re placement, using a Logit model, for three definitions of complication. The models controlled for hospital volume, other hospital characteristics, pati ent demographics, and patient health status. We tested for the endogeneity of hospital volume. Data Collection/Extraction Methods. A panel of two orthopaedic surgeons and two internists reviewed diagnosis codes to determine whether a complicatio n was likely, possible, or due to anemia. After removing the few observatio ns with bad or missing data, the final population has 295,473 observations. Principal Findings. The probability of a likely in-hospital complication de clines rapidly from 53 through 107 operations per year, then levels off. St atistical tests imply that hospital volume is exogenous in this patient-lev el data. Complication rates increased steadily through the study period. Al though obesity appeared to tower the probability of a complication, a count erintuitive result, further investigation revealed this to be an artifact o f the claims data limit of listing no more than five diagnoses. Controlling for this restriction reversed the effect of obesity. Conclusions. Rather than uncontrolled expansion of knee surgery to small ho spitals, decentralization to regional centers where at least about 50, and preferably about 100, operations per year are assured appears to be the opt imal policy to reduce in-hospital complications.