文章基本信息

标题：Interpretive Structural Modeling of the Factors Affecting Induced Demand for Health Services
本地全文：下载
作者：Vahideh Rostami ; Payam Shojaei ; Jamshid Bahmaei 等
期刊名称：Journal of Health Management & Informatics
印刷版ISSN：2322-1097
电子版ISSN：2423-5857
出版年度：2020
卷号：7
期号：2
页码：107-116
语种：English
出版社：Shiraz University of Medical Sciences
摘要：Introduction: Induced demand is an important challenge in national healthcare systems, andcan waste their resources. The likelihood of induced demand and the intensity of its effectsare the results of an interaction between a wide range of factors. Therefore, this study wasdesigned for structural modeling of the factors affecting induced demand.Methods: This applied study was carried out using a descriptive-analytic design. First, thefactors affecting induced demand were identified by a thorough literature review. Then, usinginterpretive structural modeling (ISM), the relationship between the factors was determinedand categorized, and the final model developed. In addition, using MICMAC analysis, thetypes of variables have been identified with respect to their driving and dependency power.Results: Lack of clinical guidelines, increased number of providers, weakness of educationsystem, weakness of Health Supervisory System, poor supervision of insurance companies,improper payment system, providers’ insufficient knowledge, skills and clinical uncertainty,defensive medicine, patient preferences, information asymmetry, the collusion of serviceproviders, and their incentives to earn more income were identified as the most importantfactors affecting management and control of induced demand.Conclusion: Induced demand reduction requires finding the relationships between the keyfactors to provide a clear framework for determining the best controlling policies, therebypreventing the loss of healthcare resources. This study provided a new insight into the factorsaffecting induced demand leading to prioritization of decision-making and policymakingmeasures.