Evidence map›Paper›PMID 37498602›Full record

ArticleJAMA network open2023

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

Muhieddine Labban, Chang-Rong Chen, Nicola Frego, David-Dan Nguyen, Stuart R Lipsitz, Amanda J Reich, Timothy R Rebbeck, Toni K Choueiri, Adam S Kibel, Hari S Iyer and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  6. Perceptions, barriers, and costs related to telehealth among outpatient musculoskeletal patients.PM & R : the journal of injury, function, and rehabilitation · 2026
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6 more citing papers are in PubMed but not listed here.

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

11 authors.

Muhieddine LabbanDivision of Urological Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Chang-Rong ChenVita-Salute San Raffaele University, Milan, Italy.
Nicola FregoDivision of Urological Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
David-Dan NguyenDivision of Urology, University of Toronto, Toronto, Ontario, Canada.
Stuart R LipsitzCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Amanda J ReichCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Timothy R RebbeckDivision of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.
Toni K ChoueiriLank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Adam S KibelDivision of Urological Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Hari S IyerDivision of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.
Quoc-Dien TrinhDivision of Urological Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Geographic access, including mode of transportation, to health care facilities remains understudied. Objective: To 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 Participants: This 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. Exposures: Mode of transportation (private vs public transportation) used to seek care. Main Outcomes and Measures: Survey-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. Results: The 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 < .001) and household income less than $25 000 (compared with ≥$100 000: aOR, 7.16 [95% CI, 3.50-14.68]; P < .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 < .001). Conclusions and Relevance: These 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.

Indexed as

Health Services AccessibilityTravelAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited States

Identifiers

PMID37498602
PMCPMC10375305

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.