Evidence map›Paper›PMID 36482721›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2023

Estimates of Quality-Adjusted Life-Year Loss for Injuries in the United States.

William Raich, Jennifer Baxter, Megan Sheahan, Jeremy Goldhaber-Fiebert, Patrick Sullivan, Janel Hanmer

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Systematic review of health utility losses from injuries and violence.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
    Article
  2. Article
  3. Article
  4. Recovery trajectories after a serious injury or illness: a longitudinal evaluation of health-related quality of life in an Australian cohort.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  5. Observational
  6. 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

6 authors.

William RaichIndustrial Economics, Inc., Cambridge, MA, USA.ORCID 0000-0001-6228-0739
Jennifer BaxterIndustrial Economics, Inc., Cambridge, MA, USA.
Megan SheahanIndustrial Economics, Inc., Cambridge, MA, USA.
Jeremy Goldhaber-FiebertStanford University School of Medicine. Stanford, CA, USA.
Patrick SullivanPRECISIONheor, New York, NY, USA.
Janel HanmerUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.ORCID 0000-0001-6159-2482

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe goal of this study is to develop an approach for estimating nationally representative quality-adjusted life-year (QALY) loss from injury and poisoning conditions using data collected in the Medical Expenditure Panel Survey (MEPS) and the National Health Interview Survey (NHIS).

methodsThis study uses data from the 2002-2015 NHIS and MEPS surveys. Injuries were identified in the MEPS medical events file and through self-reporting of medical conditions. We restricted our model to 163,731 adults, for which we predict a total of 294,977 EQ-5D scores using responses to the self-administered questionnaire. EQ-5D scores were modeled using age, sex, comorbidities, and binary indicators of the presence and duration of injury at the time of the health status questionnaire. These models consider nonlinearity over time during the first 3 y following the injury event.

resultsInjuries are identified in MEPS using medical events that provide a reasonable proxy for the date of injury occurrence. Health-related quality of life (HRQL) decrements can be estimated using binary indicators of injury during different time periods. When grouped into 29 injury categories, most categories were statistically significant predictors of HRQL scores in the first year after injury. For these groups of injuries, mean first-year QALY loss estimates range from 0.005 (sprains and strains of joints and adjacent muscles,

conclusionThis research presents both a framework for estimating QALY loss for short-lived medical conditions and nationally representative, community-based HRQL scores associated with a wide variety of injury and poisoning conditions. HIGHLIGHTS: This research provides a catalog of nationally representative, preference-based EQ-5D score decrements associated with surviving a large set of injuries, based on patient-reported health status.Mean first-year QALY loss estimates range from 0.005 (sprains and strains of joints and adjacent muscles,

Indexed as

COVID-19Sprains and StrainsAdultHealth StatusHumansQuality-Adjusted Life YearsQuality of LifeSurveys and QuestionnairesUnited StatesEQ-5Dhealth measurementHRQoLinjuryMEPSNHISQALYRQLSF-12SF-6D

Identifiers

PMID36482721
PMCPMC10021113

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.