ArticleHealth systems (Basingstoke, England)2022
Offering transportation services to economically disadvantaged patients at a family health center: a case study.
Article in Health systems (Basingstoke, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Baseline characteristics of people experiencing homelessness in the PHOENIx community pharmacy multicentre pilot randomised controlled trial.International journal for equity in health · 2025Trial
- Understanding Patient Experience With Past Barriers to Eye Care and How Barriers Were Addressed in the Michigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine Program.American journal of ophthalmology · 2025Trial
- Understanding the causes of missingness in primary care: a realist review.BMC medicine · 2024Review
- Impact of Insurance Type on Access to Pediatric Surgical Care.Plastic and reconstructive surgery. Global open · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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