Evidence map›Paper›PMID 37696013›Full record

ArticleFamily & community health

Systems-Level Evaluation of Safe Routes to School Policies in El Paso, Texas: A Modeling Study on Health and Economic Outcomes.

Whitney Garney, Sonya Panjwani, Laurel Curran, Joan Enderle, Laura King, Dara O'Neil, Yan Li

Abstract read
In one paragraph

Article in Family & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Whitney GarneySchool of Public Health, Texas A&M University, College Station (Drs Garney and Panjwani and Ms Curran); American Heart Association, Dallas, Texas (Mss Enderle, King, and Dr O'Neil); and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York (Dr Li).
Sonya Panjwani
Joan Enderle
Laura King
Dara O'Neil
Yan Li

Funding

Assessment of Policies through Prediction of Long-term Effects on Cardiovascular Disease Using Simulation (APPLE CDS)R01HL141427 · NHLBI · NEW YORK ACADEMY OF MEDICINE · PI LIU, BIAN, YI, STELLA S · 2018 to 2021
$3.5M
RFA-DP-21-001 Component A: Vermont Pregnancy Risk Assessment Monitoring SystemU01DP006584 · DP · VERMONT STATE AGENCY OF HUMAN SERVICES · PI BROZICEVIC, PEGGY MARY · 2020 to 2025
$1.0M
NCCDPHP CDC HHS U01 DP006584NHLBI NIH HHS R01 HL141427
6 · The paper itself

Abstract

Safe Routes to School (SRTS) policies are linked to physical health benefits for school-age children; however, few studies have assessed long-term impacts on cardiovascular disease (CVD). This study used systems science methods to predict long-term health and economic impact of SRTS among school-age children in El Paso County, Texas. We developed an agent-based model containing 2 modules: the pedestrian injury module and the CVD module. We simulated 10 000 school-age children under 2 scenarios-SRTS policies implemented and no SRTS policies implemented-and then calculated pedestrian injuries, pedestrian injury-related deaths, coronary heart disease (CHD) and stroke events, and health care costs. When SRTS policies were implemented, the model estimated 157 fewer CHD cases and 217 fewer stroke cases per 10 000 people and reduced CVD-related health care costs ($13 788 per person). The model also predicted 129 fewer pedestrian injuries and 1.3 injury-related deaths per 10 000 people and $2417 savings in injury-related health care costs. SRTS could save an estimated $16 205 per person in health care costs. This simulation shows SRTS in El Paso County could prevent pedestrian injuries among school-age children and protect cardiovascular health in the long term. Our findings provide evidence for practitioners and policy makers to advocate for SRTS policies at the local level.

Indexed as

Cardiovascular DiseasesStrokeChildHumansPolicySchoolsTexas

Identifiers

PMID37696013
PMCPMC10503661

What OpenQuestion holds

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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.