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Offering transportation services to economically disadvantaged patients at a family health center: a case study.
Guo, Jia; F Bard, Jonathan; J Morrice, Douglas; Jaén, Carlos R; Poursani, Ramin.
Afiliação
  • Guo J; Graduate Program in Operations Research & Industrial Engineering, Cockrell School of Engineering, the University of Texas, Austin, United States.
  • F Bard J; Graduate Program in Operations Research & Industrial Engineering, Cockrell School of Engineering, the University of Texas, Austin, United States.
  • J Morrice D; Information, Risk & Operations Management Department, McCombs School of Business, the University of Texas, Austin, United States.
  • Jaén CR; Family and Community Medicine Department, Long School of Medicine, UT Health San Antonio, San Antonio, United States.
  • Poursani R; Family and Community Medicine Department, Long School of Medicine, UT Health San Antonio, San Antonio, United States.
Health Syst (Basingstoke) ; 11(4): 251-275, 2022.
Article em En | MEDLINE | ID: mdl-36325420
It has been established that high no-show rates of publicly supported health systems in economically depressed areas are largely due to a lack of inexpensive, reliable transportation. The purpose of this paper is to determine the financial feasibility of offering transportation and investigate the net cost savings by reducing no-show rates. The approach starts with a data analysis on 636 patients at the Family Health Center (FHC) in San Antonio, Texas, followed by logistic regression to determine the impact of various transportation factors on cancellations/no-shows and late arrivals. We then investigate the costs savings that could be realised by reducing the no-show rate from 24.3% by up to 60%. Finally, we analyse the expenses that would be incurred should the FHC provide transportation. The full analysis indicates a cost reduction of more than $15,000 per month can be achieved when the no-show rate is reduced by 25% down to 18.2%.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article