Evidence map›Paper›PMID 31738436›Full record

ArticleJournal of burn care & research : official publication of the American Burn Association2020

Factors Associated with Attrition of Adult Participants in a Longitudinal Database: A National Institute on Disability, Independent Living, and Rehabilitation Research Burn Model System Study.

Alyssa M Bamer, Kara McMullen, Nicole Gibran, Radha Holavanahalli, Jeffrey C Schneider, Gretchen J Carrougher, Shelley Wiechman, Audrey Wolfe, Dagmar Amtmann

Abstract read
In one paragraph

Article in Journal of burn care & research : official publication of the American Burn Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Article
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  6. Article
  7. Factors Impacting Delayed Return to School Among Children Living with Burn Injury: A Burn Model System Study.Journal of burn care & research : official publication of the American Burn Association · 2025
    Article
  8. Article
  9. Research retention among people with first-episode psychosis in KwaZulu-Natal, South Africa.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2025
    Article
  10. Article
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  14. Psychiatric Illness and Substance Abuse: Unaddressed Factors in Burn Injury.Journal of burn care & research : official publication of the American Burn Association · 2023
    Article
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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

9 authors.

Alyssa M BamerDepartment of Rehabilitation Medicine, University of Washington, Seattle.
Kara McMullenDepartment of Rehabilitation Medicine, University of Washington, Seattle.
Nicole GibranDepartment of Surgery, University of Washington, Seattle.
Radha HolavanahalliUniversity of Texas Southwestern Medical Center, Dallas.
Jeffrey C SchneiderSpaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts.
Gretchen J CarrougherDepartment of Surgery, University of Washington, Seattle.
Shelley WiechmanDepartment of Surgery, University of Washington, Seattle.
Audrey WolfeSpaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts.
Dagmar AmtmannDepartment of Rehabilitation Medicine, University of Washington, Seattle.

Funding

ACL HHS 90DP0053ACL HHS 90DPGE0004NCCDPHP CDC HHS U48 DP000053
6 · The paper itself

Abstract

Participant attrition in longitudinal studies can lead to substantial bias in study results, especially when attrition is nonrandom. A previous study of the Burn Model System (BMS) database prior to 2002 identified participant and study-related factors related to attrition. The purpose of the current study was to examine changes in attrition rates in the BMS longitudinal database since 2002 and to revisit factors associated with attrition. Individuals 18 years and older enrolled in the BMS database between 2002 and 2018 were included in this study. Stepwise logistic regression models identified factors significantly associated with attrition at 6, 12, and 24 months postburn injury. The percentage of individuals lost to follow-up was 26% at 6 months, 33% at 12 months, and 42% at 24 months. Factors associated with increased risk of loss to follow-up across two or more time points include male sex, lower TBSA burn size, being unemployed at the time of burn, shorter duration of acute hospital stay, younger age, not having private health insurance or workers' compensation, and a history of drug abuse. Retention levels in the BMS have improved by at least 10% at all time points since 2002. The BMS and other longitudinal burn research projects can use these results to identify individuals at high risk for attrition who may require additional retention efforts. Results also indicate potential sources of bias in research projects utilizing the BMS database.

Indexed as

Lost to Follow-UpAdultAgedBurnsDatasets as TopicFemaleHumansIndependent LivingLongitudinal StudiesMaleMiddle AgedPersons with DisabilitiesRehabilitation ResearchRisk FactorsUnited States

Identifiers

PMID31738436
PMCPMC9121819

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.