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임지영 ( Lim Ji-Young ) - 인하대학교 간호학과
김미자 ( Kim Mi-Ja ) - 시카고일리노이대학교 간호대학
박창기 ( Park Chang-Gi ) - 시카고일리노이대학교 간호대학
김정윤 ( Kim Jung-Yun ) - 인천광역시청 여성정책과
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Abstract
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Purpose: Cost-benefit analysis is one of the most commonly used economic evaluation methods, which helps to inform the economic value of a program to decision makers. However, the selection of a correct benefit estimation method remains critical for accurate cost-benefit analysis. This paper compared benefit estimations among three different benefit estimation models.
Methods: Data from community-based chronic hypertension management programs in a city in South Korea were used. Three different benefit estimation methods were compared. The first was a standard deterministic estimation model; second, a repeated-measures deterministic estimation model; and third, a transitional probability estimation model.
Results: The estimated net benefit of the three different methods were $1,273.01, $-3,749.42, and $-5,122.55 respectively.
Conclusion: The transitional probability estimation model showed the most correct and realistic benefit estimation, as it traced possible paths of changing status between time points and it accounted for both positive and negative benefits.
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KeyWords
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Cost-benefit analysis, Evaluation methodology, Hypertension, Probability, Nursing services
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원문 및 링크아웃 정보
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등재저널 정보
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