Does physicians' case volume impact inpatient care costs for pneumonia cases?
BACKGROUND
Increasing physician case volumes are documented to reduce costs and improve outcomes for many surgical procedures but not for medical conditions such as pneumonia that consume significant health care resources.


OBJECTIVE
This study explored the association between physicians' inpatient pneumonia case volume and cost per discharge.


METHODS
The design was a retrospective, population-based, cross-sectional study, using National Health Insurance administrative claims data.


METHODS
The setting was Taiwan.


METHODS
The participants were a universal sample of 270,002 adult, acute pneumonia hospitalizations, during 2002-2004, excluding transferred cases and readmissions.


METHODS
Hierarchical linear regression modeling was used to examine the association of physician's volume (three volume groups, designed to classify patients into approximately equal sized groups) with cost, adjusting for hospital random effects, case severity, physician demographics and specialty, hospital characteristics, and geographic location.


RESULTS
Mean cost was NT$2,255 (US$1 = NT$33 in 2004) for low-volume physicians (< or =100 cases) and NT$1,707 for high-volume physicians (> or =316 cases). The adjusted patient costs for low-volume physicians were higher (US$264 and US$235 than high- and medium-volume physicians, respectively; both P < .001), with no difference between high- and medium-volume physicians. High-volume physicians had lower in-hospital mortality and 14-day readmission rates than low-volume physicians.


CONCLUSIONS
Data support an inverse volume-cost relationship for pneumonia care. Decision processes and clinical care of high-volume physicians versus low-volume physicians should be studied to develop effective care algorithms to improve pneumonia outcomes and reduce costs.
Department of Pediatric Infection, Taipei Medical University and Hospital, Taipei, Taiwan.
Hsiu-Chen
HC
Lin
Sudha
S
Xirasagar
Herng-Ching
HC
Lin
Yi-Ting
YT
Hwang
D000328:Adult; D017046:Cost Savings; D003362:Cost-Benefit Analysis; D003430:Cross-Sectional Studies; D005260:Female; D017048:Health Care Costs; D017721:Hospital Costs; D006760:Hospitalization / Q000191:economics* / Q000706:statistics & numerical data; D006801:Humans; D007297:Inpatients / Q000706:statistics & numerical data; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D010343:Patient Admission / Q000191:economics / Q000706:statistics & numerical data; D010351:Patient Discharge / Q000191:economics / Q000706:statistics & numerical data; D010820:Physicians / Q000191:economics / Q000706:statistics & numerical data; D011014:Pneumonia / Q000191:economics* / Q000628:therapy*; D011336:Probability; D012189:Retrospective Studies; D013624:Taiwan; D016526:Workload / Q000191:economics*