Evidence map›Paper›PMID 41645332›Full record

ArticleInjury epidemiology2026

Linkage of Medicare insurance claims to police-reported motor vehicle crashes: advancing traffic safety research in older adult populations.

Fang-Wen Lu, Andrew R Zullo, Allison E Curry, Melissa R Pfeiffer, Marzan A Khan, Nina R Joyce

Abstract read
In one paragraph

Article in Injury epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Fang-Wen LuDepartment of Epidemiology, Brown University School of Public Health, Providence, USA. fang-wen_lu@brown.edu.
Andrew R ZulloDepartment of Epidemiology, Brown University School of Public Health, Providence, USA.
Allison E CurryCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, USA.
Melissa R PfeifferCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, USA.
Marzan A KhanCenter for Gerontology and Health Care Research, Brown University School of Public Health, Providence, USA.
Nina R JoyceDepartment of Epidemiology, Brown University School of Public Health, Providence, USA.

Funding

The risks and consequences of a motor vehicle crash in older adults with Alzheimer's Disease and Related DementiasR01AG079295 · NIA · BROWN UNIVERSITY · PI JOYCE, NINA · 2022 to 2025
$3.0M
NIA NIH HHS R01AG079295
6 · The paper itself

Abstract

backgroundMotor vehicle crashes (MVCs) are a leading cause of injury among adults aged 65 years and older ("older adults"). As the number of older drivers grows, it is increasingly important to understand clinical factors associated with an increased risk of MVC. A major barrier, however, is the lack of data. To address this, we linked two large-scale administrative databases, the New Jersey Safety and Health Outcomes (NJ-SHO) Data Warehouse, which contains information on all police-reported crashes in New Jersey from 2004 to 2019, and Medicare Fee-for-Service (FFS) insurance claims, which contains health care encounters and prescription drug dispensings among older adults in the United States over the same period. This paper explains the linkage process, describes selected work leveraging these data to study MVCs in older drivers, and highlights features and strengths of this linkage for future research.

methodsThe NJ-SHO-Medicare linkage was performed using categories of name (first and last), sex, age (birth and death date), and residence (state and ZIP code). Matches were ranked by quality and overall confidence.

resultsAfter comparing different match strategies, we accepted a match when (1) the name match quality was High or Medium and the age match was High or (2) the name, sex, and residence match categories were all High. Of the 2,722,773 individuals successfully linked, we accepted 2,661,782 matches (97.76% of individuals linked and 91.59% of those submitted for linkage). All accepted matches were Strong or Fair. Among accepted matches who enrolled in Medicare FFS in 2019, 342,422 (28.57%) were 65-69 years old, 619,437 (51.69%) were female, and 955,309 (79.72%) were non-Hispanic White. Only 29,561 (2.47%) experienced an MVC and 25,478 (2.13%) received a citation. The most prevalent clinical conditions ever diagnosed were cataracts (669,044; 55.83%); chronic pain, fatigue, and fibromyalgia (367,165; 30.64%); and glaucoma (287,420; 23.98%).

conclusionsWith extensive temporal and population coverage, the NJ-SHO-Medicare linkage supports studying the relationships between clinical exposures (e.g., medications ), driving events (e.g., crashes, citations) and medical care trajectories, which can help advance the driving safety of older adults and inform future efforts to integrate administrative data.

Indexed as

Administrative dataData linkageMedicareMotor vehicle crashes (MVCs)New Jersey Safety and Health Outcomes (NJ-SHO)Older adults

Identifiers

PMID41645332
PMCPMC12973604

What Socratic holds

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LicenceCC BY
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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 Socratic graph.