Evidence map›Paper›PMID 29380214›Full record

ArticleJournal of general internal medicine2018

Rideshare-Based Medical Transportation for Medicaid Patients and Primary Care Show Rates: A Difference-in-Difference Analysis of a Pilot Program.

Krisda H Chaiyachati, Rebecca A Hubbard, Alyssa Yeager, Brian Mugo, Judy A Shea, Roy Rosin, David Grande

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02955433 (The Impact of Rideshare Transportation Services on Appointment Adherence), which is not on this map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

NCT02955433 nacompletednot on this map

The Impact of Rideshare Transportation Services on Appointment Adherence

TypeinterventionalSponsorUniversity of PennsylvaniaRan2016 to 2017Enrolled786ConditionsAppointments and Schedules, Social Determinants of Health, Transportation, Primary Health CareArmsRideshare-based transportation
3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. [Mobility services in primary care: An overview of existing types of services and potentials for the German healthcare system].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2026
    Review
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  17. Transportation Justice and Health.The Milbank quarterly · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Krisda H ChaiyachatiVA Advanced Fellow at the Cpl. Michael Crescenz VA Medical Center, Philadelphia, PA, USA. kchai@upenn.edu.
Rebecca A HubbardDepartment of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Alyssa YeagerYale-New Haven Hospital, New Haven, CT, USA.
Brian MugoMassachusetts General Hospital, Boston, MA, USA.
Judy A SheaDivision of General Internal Medicine at the Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Roy RosinPenn Medicine Center for Health Care Innovation, Philadelphia, PA, USA.
David GrandeLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransportation to primary care is a well-documented barrier for patients with Medicaid, despite access to non-emergency medical transportation (NEMT) benefits. Rideshare services, which offer greater convenience and lower cost, have been proposed as an NEMT alternative.

objectiveTo evaluate the impact of rideshare-based medical transportation on the proportion of Medicaid patients attending scheduled primary care appointments.

designIn one of two similar practices, all eligible Medicaid patients were offered rideshare-based transportation ("rideshare practice"). A difference-in-difference analytical approach using logistic regression with robust standard errors was employed to compare show rate changes between the rideshare practice and the practice where rideshare was not offered ("control practice").

participantsOur study population included residents of West Philadelphia who were insured by Medicaid and were established patients at two academic general internal medicine practices located in the same building.

interventionWe designed a rideshare-based transportation pilot intervention. Patients were offered the service during their reminder call 2 days before the appointment, and rides were prescheduled by research staff. Patients then called research staff to schedule their return trip home. MAIN MEASURES: We assessed the effect of offering rideshare-based transportation on appointment show rates by comparing the change in the average show rate for the rideshare practice, from the baseline period to the intervention period, with the change at the control practice. KEY

resultsAt the control practice, the show rate declined from 60% (146/245) to 51% (34/67). At the rideshare practice, the show rate improved from 54% (72/134) to 68% (41/60). In the adjusted model, controlling for patient demographics and provider type, the odds of showing up for an appointment before and after the intervention increased 2.57 (1.10-6.00) times more in the rideshare practice than in the control practice.

conclusionsResults of this pilot program suggest that offering a rideshare-based transportation service can increase show rates to primary care for Medicaid patients.

Indexed as

Appointments and SchedulesHealth Services AccessibilityMedicaidPatient ComplianceAdultAutomobilesFemaleHumansMaleMiddle AgedPilot ProjectsPrimary Health CareReminder SystemsTransportation of PatientsUnited Statesaccess to careMedicaidprimary caresocioeconomic factorsunderserved populations

Identifiers

PMID29380214
PMCPMC5975142

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.