Rideshare transportation to health care: evidence from a Medicaid implementation

Eisenberg, Yochai; Owen, Randall; Crabb, Caitlin; Morales, Miguel A.

doi:10.37765/ajmc.2020.88492

Cited by 10 publications

(6 citation statements)

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“…Examples of potential interventions include vouchers, ridesharing services, or increasing access to telehealth among minoritized and economically disadvantaged populations . Ridesharing services have been proposed because they can be scheduled as needed, use direct routes, are readily available in most urban areas, and cost less . However, evidence suggests that ridesharing services might only reduce missed appointment rates among populations with specific transportation needs or among those requiring multiple visits for cancer treatment completion .…”

Section: Discussionmentioning

confidence: 99%

“…32,33 Ridesharing services have been proposed because they can be scheduled as needed, use direct routes, are readily available in most urban areas, and cost less. [34][35][36] However, evidence suggests that ridesharing services might only reduce missed appointment rates among populations with specific transportation needs 37 or among those requiring multiple visits for cancer treatment completion. 38 Furthermore, successful implementation of these interventions would necessitate appropriate funding, infrastructure, and coordination.…”

Section: Limitationsmentioning

confidence: 99%

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Disparities in Travel-Related Barriers to Accessing Health Care From the 2017 National Household Travel Survey

et al. 2023

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ImportanceGeographic access, including mode of transportation, to health care facilities remains understudied.ObjectiveTo identify sociodemographic factors associated with public vs private transportation use to access health care and identify the respondent, trip, and community factors associated with longer distance and time traveled for health care visits.Design, Setting, and ParticipantsThis cross-sectional study used data from the 2017 National Household Travel Survey, including 16 760 trips or a nationally weighted estimate of 5 550 527 364 trips to seek care in the United States. Households that completed the recruitment and retrieval survey for all members aged 5 years and older were included. Data were analyzed between June and August 2022.ExposuresMode of transportation (private vs public transportation) used to seek care.Main Outcomes and MeasuresSurvey-weighted multivariable logistic regression models were used to identify factors associated with public vs private transportation and self-reported distance and travel time. Then, for each income category, an interaction term of race and ethnicity with type of transportation was used to estimate the specific increase in travel burden associated with using public transportation compared a private vehicle for each race category.ResultsThe sample included 12 092 households and 15 063 respondents (8500 respondents [56.4%] aged 51-75 years; 8930 [59.3%] females) who had trips for medical care, of whom 1028 respondents (6.9%) were Hispanic, 1164 respondents (7.8%) were non-Hispanic Black, and 11 957 respondents (79.7%) were non-Hispanic White. Factors associated with public transportation use included non-Hispanic Black race (compared with non-Hispanic White: adjusted odds ratio [aOR], 3.54 [95% CI, 1.90-6.61]; P &lt; .001) and household income less than $25 000 (compared with ≥$100 000: aOR, 7.16 [95% CI, 3.50-14.68]; P &lt; .001). The additional travel time associated with use of public transportation compared with private vehicle use varied by race and household income, with non-Hispanic Black respondents with income of $25 000 to $49 999 experiencing higher burden associated with public transportation (mean difference, 81.9 [95% CI, 48.5-115.3] minutes) than non-Hispanic White respondents with similar income (mean difference, 25.5 [95% CI, 17.5-33.5] minutes; P &lt; .001).Conclusions and RelevanceThese findings suggest that certain racial, ethnic, and socioeconomically disadvantaged populations rely on public transportation to seek health care and that reducing delays associated with public transportation could improve care for these patients.

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Section: Discussionmentioning

confidence: 99%

Section: Limitationsmentioning

confidence: 99%

Disparities in Travel-Related Barriers to Accessing Health Care From the 2017 National Household Travel Survey

et al. 2023

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“…A study using an intent-to-treat design in Philadelphia found that RB-NEMT did not decrease missed appointments of Medicaid recipients (Chaiyachati et al, 2018a), although the authors of that study note that they obtained information on rideshare benefit eligibility. Another study, in an unnamed northwestern U.S. state, found an increase in the percentage of missed and late pickups associated with an increased percentage of RB-NEMT rides-although it is unknown if the missed ride itself was an RB-NEMT ride (Eisenberg et al, 2020). There was no reported difference in user feelings of safety, driver courtesy, and vehicle condition associated with RB-NEMT experience (Eisenberg et al, 2020).…”

Section: Patient and Provider-oriented Measures Of Successmentioning

confidence: 98%

“…Another study, in an unnamed northwestern U.S. state, found an increase in the percentage of missed and late pickups associated with an increased percentage of RB-NEMT rides-although it is unknown if the missed ride itself was an RB-NEMT ride (Eisenberg et al, 2020). There was no reported difference in user feelings of safety, driver courtesy, and vehicle condition associated with RB-NEMT experience (Eisenberg et al, 2020).…”

Section: Patient and Provider-oriented Measures Of Successmentioning

confidence: 98%

“…The first factor involves broader questions of equity and access for the transportation vulnerable. Around the second factor, both research (Eisenberg et al, 2020) and interviewees suggest individuals do not always know that the transportation they are taking is a rideshare as opposed to a taxi. The third factor, the user experience, is discussed in Chapter Five.…”

Section: Chapter Fourmentioning

confidence: 99%

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Going to the Doctor: Rideshare as Nonemergency Medical Transportation

2021

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In 2019, Lyft Healthcare asked the RAND Corporation to explore the role of rideshare in nonemergency medical transportation (NEMT). In this report, we build on previous RAND research on health care access for vulnerable populations, innovative transportation modes and business models, and related public policy. Whereas this prior work addressed health care access issues broadly and analytically, the research documented in this report looks closely at rideshare specifically in the NEMT context. We aimed to identify key populations for whom, and types of rides for which, NEMT would be an appropriate model, the role of rideshare in NEMT, and the policies that support such a role. We conclude by considering how best to support NEMT broadly and optimize rideshare within NEMT specifically. This report is intended for a broad general audience. We conducted this research and formulated our conclusions independently, and RAND retains rights to publish this report without sponsor approval. Questions or comments about this report should be sent to Laura Fraade-Blanar

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Rideshare use among people with disabilities: Patterns and predictors based on a large nationally representative survey

Eisenberg

Hofstra

Tilahun

et al. 2022

Travel Behaviour and Society

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Rideshare transportation to health care: evidence from a Medicaid implementation

Cited by 10 publications

References 0 publications

Disparities in Travel-Related Barriers to Accessing Health Care From the 2017 National Household Travel Survey

Disparities in Travel-Related Barriers to Accessing Health Care From the 2017 National Household Travel Survey

Going to the Doctor: Rideshare as Nonemergency Medical Transportation

Rideshare use among people with disabilities: Patterns and predictors based on a large nationally representative survey

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