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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.0//EN" "http://www.ncbi.nlm.nih.gov:80/entrez/query/static/PubMed.dtd"><ArticleSet><Article><Journal><PublisherName></PublisherName><JournalTitle>Journal of Knowledge &amp; Health</JournalTitle><Issn>1735-577X</Issn><Volume>12</Volume><Issue>1</Issue><PubDate PubStatus="epublish"><Year>2017</Year><Month>05</Month><Day>07</Day></PubDate></Journal><VernacularTitle>Reasons of Induced Demand in Delivering Services to the Insured by Health Insurance: A Case Study in Esfahan, 2013</VernacularTitle><FirstPage>1</FirstPage><LastPage>7</LastPage><ELocationID EIdType="doi">10.22100/jkh.v12i1.1298</ELocationID><Language>FA</Language><AuthorList><Author><FirstName>Mohammadreza</FirstName><LastName>Amir Esmaili1</LastName><Affiliation>1- Dept. of Management, Health Policy and Health Economic, School of Management and Medical Informatics, Kerman University of Medical Sciences, Kerman, Iran.. mohammadreza.amiresmaili@gmail.com</Affiliation></Author><Author><FirstName>Amirhosin</FirstName><LastName>Fatahpour2</LastName></Author><Author><FirstName>Mohsen</FirstName><LastName>Barooni3</LastName></Author><Author><FirstName>Noora</FirstName><LastName>Rafiee4</LastName></Author></AuthorList><History><PubDate PubStatus="received"><Year>2015</Year><Month>12</Month><Day>05</Day></PubDate><PubDate PubStatus="accepted"><Year>2017</Year><Month>04</Month><Day>05</Day></PubDate><PubDate PubStatus="revised"><Year>2016</Year><Month>12</Month><Day>27</Day></PubDate></History><Abstract>Introduction: Induced demand is one of the health challenges of our country.  Paid costs by insurance lead to waste of health system resource.Methods: This descriptive- analytical study has been conducted to evaluate induced demand using information of first level services to the insured individuals in 2013. logit model was run by EViews version 7 for analyzing results. In logit mode, two dependent variables including total cost and total time were studied. The final effect of independent variables on these dependent variables was evaluated as a final impact on induced demand.Results: In stipulated model of total cost, type of physicians’ contract (P=0.0195), physicians’ age (P= 0.0474) and visit of female patients (P&amp;lt;0.001) were statistically significant. In stipulated model of total time, type of physicians’ contract (P= 0.008), visiting patient aged more than 60 years (P=0.0144), visiting patients aged less than 5 years (P=0.0001) and number of referring (P=0.019) were statistically significant. Ultimate effect on total cost of type of physicians’ contract was 11%; considering total time, the type of physicians’ contract with highest effect was 19%.Conclusion: Results of this research showed that health policy authorities should imped delivery of unnecessary services and optimize allocation of health resources through adopting a scientific method based on purchasing services by the insurer, approval of standards and rules, and determining logical treatment framework.</Abstract></Article></ArticleSet>