Evidence map›Paper›PMID 34926159›Full record

ArticleJournal of transport & health2022

Transit Use and Health Care Costs: A Cross-sectional Analysis.

B E Saelens, R T Meenan, E M Keast, L D Frank, D R Young, J L Kuntz, J F Dickerson, S P Fortmann

Abstract read
In one paragraph

Article in Journal of transport & health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

B E SaelensSeattle Children's Research Institute and the Department of Pediatrics at the University of Washington, 1920 Terry Avenue, Seattle, Washington USA 98101.
R T MeenanCenter for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, Oregon USA 97227-1098.
E M KeastCenter for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, Oregon USA 97227-1098.
L D FrankUrban Design 4 Health, Inc., Rochester, NY and Health & Community Design Lab, Schools of Population and Public Health and Community and Regional Planning, University of British Columbia, 433 - 6333 Memorial Road Vancouver, BC Canada V6T 1Z2.
D R YoungCenter for Research & Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles Ave, Pasadena, CA U.S. 91101.
J L KuntzCenter for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, Oregon USA 97227-1098.
J F DickersonCenter for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, Oregon USA 97227-1098.
S P FortmannCenter for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, Oregon USA 97227-1098.

Funding

Health and Economic Effects of Light Rail Lines: A Natural ExperimentR01DK103385 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI FORTMANN, STEPHEN PAUL · 2014 to 2018
$3.3M
NIDDK NIH HHS R01 DK103385
6 · The paper itself

Abstract

introductionGreater transit use is associated with higher levels of physical activity, which is associated with lower health risks and better health outcomes. However, there is scant evidence about whether health care costs differ based on level of transit ridership.

methodsA sample (n=947) of members of Kaiser Permanente in the Portland, Oregon area were surveyed in 2015 about their typical use of various modes of travel including transit. Electronic medical record-derived health care costs were obtained among these members for the prior three years. Analysis examined proportional costs between High transit users (3+ days/week), Low transit users (1-2 days/week), and Non-users adjusting for age and sex, and then individually (base models) and together for demographic and health status variables.

resultsIn separate base models across individual covariates, High transit users had lower total health care costs (59-69% of Non-user's costs) and medication costs (31-37% of Non-users' costs) than Non-users. Low transit users also had lower total health care (69%-76% of Non-users' costs) and medication costs (43-57% transit of Non-user's costs) than Non-users. High transit users' outpatient costs were also lower (77-82% of Non-users). In fully-adjusted models, total health care and medication costs were lower among High transit users' (67% and 39%) and Low transit users' (75% and 48%) compared to Non-users, but outpatient costs did not differ by transit use.

conclusionsFindings have implications for the potential cost benefit of encouraging and supporting more transit use, although controlled longitudinal and experimental evidence is needed to confirm findings and understand mechanisms.

Indexed as

health care costsmedical expenditurespublic transportationtransit

Identifiers

PMID34926159
PMCPMC8682981

What OpenQuestion holds

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Registered trials

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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.