Evidence map›Paper›PMID 27747542›Full record

ArticleInjury epidemiology2016

Longitudinal assessment of injury recidivism among adults in the United States: findings from a population-based sample.

Suliman Alghnam, Glen H Tinkoff, Renan Castillo

Open access · goldAbstract read
In one paragraph

Article in Injury epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Risk factors for rehospitalization after trauma: a follow-up study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  3. Article
  4. Article
  5. Recidivism after orthopaedic trauma has diminished over time.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023
    Article
  6. Trauma Recidivism in an Aging Population: Who Is Most at Risk?HCA healthcare journal of medicine · 2021
    Article
  7. Article
  8. Characteristics of Injury Patients in the Emergency Department in Shanghai, China: A Retrospective Observational Study.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Observational
  9. Article
  10. Violent trauma recidivism: Does all violence escalate?European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2018
    Article
  11. Article
  12. Article
  13. 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

3 authors at 2 institutions in 2 countries.

Suliman AlghnamKing Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, KAIMRC, KSAU-HS, Riyadh, Saudi Arabia. ghnams@ngha.med.sa.ORCID http://orcid.org/0000-0001-5817-0481
Glen H TinkoffDepartment of Surgery, Christiana Care Health System, Newark, DE, 19718, USA.
Renan CastilloDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, HH 598 624 N. Broadway, Baltimore, MD, 21205, USA.
Johns Hopkins University · USChristiana Care Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRepeated injuries, as known as injury recidivism, pose a significant burden on population health and healthcare settings. Therefore, identifying those at risk of recidivism can highlight targeted populations for primary prevention in order to improve health and reduce healthcare expenditures. There has been limited research on factors associated with recidivism in the U.S. Using a population-based sample, we aim to: 1) identify the prevalence and risk factors for injury recidivism among non-institutionalized adults; 2) investigate the trend in nationwide recidivism rates over time.

methodsUsing the Medical Expenditure Panel Survey (MEPS), 19,134 adults with at least one reported injury were followed for about 2 years. Reported injuries were those associated with healthcare utilization, disability days or any effects on self-reported health. The independent associations between risk factors for recidivism were evaluated incorporating a weighted logistic regression model.

resultsThere were 4,136 recidivists representing over nine million individuals in the U.S. over a 2-year follow-up. About 44 % of recidivists sustained severe injuries requiring a hospitalization, a physician's office visit or an emergency department visit. Compared with those who sustained a single injury, recidivists were more likely to be white, unmarried, reside in metropolitan areas, and report a higher prevalence of chronic conditions. Age, sex, race/ethnicity, marital status, urbanicity, region, diabetes, stroke, asthma and depression symptoms were significant predictors of recidivism. Significant interaction effects between age and gender suggested those in the 18-25 age group, the odds of being a recidivist were 1.45 higher among males than females adjusting for other covariates. While having positive screens for depression in both follow-up years was associated with 1.46 (95 % CI = 1.21-1.77) higher odds of recidivisms than the reference group adjusting for other variables.

conclusionsWe observed a higher recidivism rate among injured individuals in this study than previously reported. Our findings emphasize the pressing need for injury prevention to reduce the burden of repeated injuries. Preventative efforts may benefit from focusing on males between 18 and 25 years of age and those with comorbidities such as diabetes, stroke and depression.

Indexed as

Injury burdenMEPSRecidivismRepeated injuries

Identifiers

PMID27747542
PMCPMC4737788
OpenAlexW2263441807

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.