Inpatient resource use: a comparison of family medicine and internal medicine physicians

N M MacDowell1, D M Black

  • 1Department of Hospital, Xavier University, Cincinnati, OH 45207.

Insights

Physician specialty does not significantly impact patient length of stay or readmission rates when controlling for patient factors. Resource utilization comparisons require adjustments for case mix and patient complexity.

Area of Science:

  • Healthcare resource utilization
  • Physician specialty impact
  • Inpatient care analysis

Background:

  • Uncertainty exists regarding inpatient resource use differences between family medicine and internal medicine physicians.
  • Patient demographics and complexity are potential confounding factors in resource utilization studies.

Purpose of the Study:

  • To investigate if differences in inpatient resource utilization exist between family medicine and internal medicine physicians.
  • To determine the influence of physician specialty on length of stay and readmission rates after controlling for patient variables.

Main Methods:

  • Analysis of 13 high-volume diagnosis-related groups (DRGs) at University of Cincinnati Hospital (1985-1986).
  • Dependent variables included length of stay and 2-week readmission.
  • Stratification by DRGs controlled for age and case mix.

Main Results:

  • No significant differences in average length of stay were found between family medicine and internal medicine patients after adjustments.
  • Patient complexity, not physician specialty, race, or sex, explained most of the variance in length of stay.
  • While internal medicine had a higher readmission proportion, physician specialty did not predict readmission in multivariate analysis.

Conclusions:

  • Unadjusted indicators of resource use are insufficient for comparing healthcare providers.
  • Accurate comparisons necessitate controlling for patient case mix, demographics, and complexity.
  • Future research should utilize longitudinal data from large populations for detailed interspecialty resource utilization analysis.
Abstract

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