健康指標量測與醫療資源與分配模型之建購

Construct A Model for Measuring Health Indicators and Allocating Health Resource

羅本廸(ROPENDI PARDEDE)

指導教授 ： 陳永福

中臺科技大學/管理學院/醫療暨健康產業管理系碩士班/碩士(2018年)

摘要

Background: Recently, a research trend concentrates on the resource allocation problems of health care because of scarce medical resources and skyrocketing hospital costs. Data envelopment analysis (DEA) is a linear programming (LP), non-parametric technique commonly used to measure the relative performance of a number of similar processing units.
Objective: This study intends to use a model for measuring health indicators and allocating health resources by using the DEA-based approach.
Methods: Data selected from annual data of Urban and Regional Development Statistics in 22 cities and counties among Taiwan in year 2015 were analyzed. Student’s t-test was used to investigate the differences in means between cities and counties by using spss 18.0. The DEA approach was applied to investigate the performance of allocation of health resource and compare with allocation according to the capitation.
Results: In addition to physician density and percentage of elderly people and children, percentage of disabled people, hospital bed density, and long-term care facility density were also adopted for building DEA models to allocate health expenditure. The allocation performance of our proposed model is higher than the allocations based on capitation and a model based on physician density and percentage of elderly people and children only.
Conclusion: Empirical evidence demonstrates that when allocating health resource, the model proposed in this study based on more effective indicators is a better mechanism.

關鍵字

健康指標量測 ； 醫療資源與分配

並列摘要

Background: Recently, a research trend concentrates on the resource allocation problems of health care because of scarce medical resources and skyrocketing hospital costs. Data envelopment analysis (DEA) is a linear programming (LP), non-parametric technique commonly used to measure the relative performance of a number of similar processing units.
Objective: This study intends to use a model for measuring health indicators and allocating health resources by using the DEA-based approach.
Methods: Data selected from annual data of Urban and Regional Development Statistics in 22 cities and counties among Taiwan in year 2015 were analyzed. Student’s t-test was used to investigate the differences in means between cities and counties by using spss 18.0. The DEA approach was applied to investigate the performance of allocation of health resource and compare with allocation according to the capitation.
Results: In addition to physician density and percentage of elderly people and children, percentage of disabled people, hospital bed density, and long-term care facility density were also adopted for building DEA models to allocate health expenditure. The allocation performance of our proposed model is higher than the allocations based on capitation and a model based on physician density and percentage of elderly people and children only.
Conclusion: Empirical evidence demonstrates that when allocating health resource, the model proposed in this study based on more effective indicators is a better mechanism.

並列關鍵字

Health resources ； Health indicators ； Data Envelopment Analysis (DEA)

參考文獻

REFERENCES

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