Health Policy Manag.  2015 Mar;25(1):31-39. 10.4332/KJHPA.2015.25.1.31.

Factors Affecting the Outcome Indicators in Patients with Stroke

Affiliations
  • 1Department of Medical Care and Hospital Administration, Hallym Polytechnic University, Chuncheon, Korea.
  • 2Department of Health Administration, Yonsei University College of Health Sciences, Wonju, Korea. haejongl@yonsei.ac.kr

Abstract

BACKGROUND
The purpose of this study is comparison of the results between regression and multi-level analysis to find out factors influencing outcome indicators (in-hospital death, length of stay, and medical charges) of stroke patients.
METHODS
By using patient sample data of Health Insurance Review & Assessment Service, patients admitted with stroke were selected as survey target and 15,864 patients and 762 hospitals were surveyed.
RESULTS
For the results of existing regression analysis and multi-level analysis, models were assessed through model suitability index value and as a result, the value of results of multi-level analysis decreased compared to the results of regression, showing it is a better model.
CONCLUSION
Factors influencing in-hospital death of stroke patients were analyzed and as a result, intra-class correlation (ICC) was 13.6%. In factors influencing length of stay, ICC was 11.4%, and medical charges, ICC was 17.7%. It was found that factors influencing the outcome indicators of stroke patients may vary in every hospital. This study could carry out more accurate analysis than existing research findings through analysis of reflecting structure at patient level and hospital level factors and analysis on random effect.

Keyword

Regression; Multilevel analysis; Stroke; Outcome indicators

MeSH Terms

Humans
Insurance, Health
Length of Stay
Multilevel Analysis
Regression Analysis
Stroke*
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