Determinants of Outpatient Health Service Utilization According to Andersen’S Behavioral Model: A Systematic Scoping Review Publisher Pubmed



Soleimanvandiazar N^{1, 2} ; Mohaqeqi Kamal SH³ ; Sajjadi H⁴ ; Ghaedamini Harouni G³ ; Karimi SE⁵ ; Djalalinia S^{6, 7} ; Setareh Forouzan A³ Show Affiliations
Source: Iranian Journal of Medical Sciences Published:2020

Abstract

Background: The present review focuses on identifying factors contributing to health service utilization (HSU) among the general adult population according to Anderson’s behavioral model. Methods: Published articles in English on factors related to HSU were identified by systematically probing the Web of Science, MEDLINE (via PubMed research engine), and Scopus databases between January 2008 and July 2018, in accordance with the PRISMA guidelines. The search terms related to HSU were combined with terms for determinants by Boolean operators AND and OR. The database search yielded 2530 papers. Furthermore, we could find 13 additional studies following a manual search we carried out on the relevant reference lists. Results: Thirty-seven eligible studies were included in this review, and the determinants of HSU were categorized as predisposing, enabling, and need factors according to Andersen’s model of HSU. The results demonstrated that all predisposing, enabling, and need factors influence HSU. In most studies, the female gender, being married, older age, and being unemployed were positively correlated with increased HSU. However, evidence was found regarding the associations between education levels, regions of residence, and HSU. Several studies reported that a higher education level was related to HSU. Higher incomes and being insured, also, significantly increased the likelihood of HSU. Conclusion: This review has identified the importance of predisposing, enabling, and need factors, which influence outpatient HSU. The prediction of prospective demands is a major component of planning in health services since, through this measure, we make sure that the existing resources are provided in the most efficient and effective way. © 2020, Shriaz University of Medical Sciences. All rights reserved.