Evidence map›Paper›PMID 38906274›Full record

ArticlePreventive medicine2024

Application of a comprehensive disability measure: Disability prevalence among US Veterans and non-veterans from the National Health Interview Survey Data from 2015 to 2018.

Abigail C Mulcahy, Diana J Govier, Claire T Than, Neetu Chawla, Elisheva Danan, Elizabeth R Hooker, Holly McCready, Katherine J Hoggatt, Elizabeth M Yano, Denise M Hynes

Abstract read
In one paragraph

Article in Preventive medicine, 2024. 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. 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

10 authors.

Abigail C MulcahyCenter to Improve Veteran Involvement in Care (CIVIC), VA Portland Health Care System, Portland, OR, United States of America; Oregon Health and Sciences University/Portland State University School of Public Health, United States of America.
Diana J GovierCenter to Improve Veteran Involvement in Care (CIVIC), VA Portland Health Care System, Portland, OR, United States of America; Oregon Health and Sciences University/Portland State University School of Public Health, United States of America.
Claire T ThanNational Precision Oncology Program, VHA Specialty Care Services, United States of America.
Neetu ChawlaVA Health Systems Research (HSR) Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California, United States of America.
Elisheva DananVA Center for Care Delivery and Outcomes Research, Minneapolis, Minnesota, United States of America; Division of General Internal Medicine, Minneapolis VA Healthcare System, Minneapolis, Minnesota, United States of America; Department of Medicine, University of Minnesota, Minneapolis, MN, United States of America.
Elizabeth R HookerCenter to Improve Veteran Involvement in Care (CIVIC), VA Portland Health Care System, Portland, OR, United States of America; Oregon Health and Sciences University/Portland State University School of Public Health, United States of America.
Holly McCreadyCenter to Improve Veteran Involvement in Care (CIVIC), VA Portland Health Care System, Portland, OR, United States of America.
Katherine J HoggattSan Francisco VA Health Care System, San Francisco, California, United States of America; Department of Medicine, University of California San Francisco, San Francisco, California, United States of America.
Elizabeth M YanoVA Health Systems Research (HSR) Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California, United States of America; Department of Health Policy & Management, UCLA Fielding School of Public Health, Los Angeles, California, United States of America; Department of Medicine, UCLA Geffen School of Medicine, Los Angeles, California, United States of America.
Denise M HynesCenter to Improve Veteran Involvement in Care (CIVIC), VA Portland Health Care System, Portland, OR, United States of America; Health Management and Policy, College of Health & Center for Quantitative Life Sciences, Oregon State University, Corvallis, OR, United States of America; School of Nursing, Oregon Health & Science University, Portland, OR, United States of America. Electronic address: Denise.Hynes@va.gov.

Funding

Quantifying the Burden of Disease and Healthcare Need in Veterans and CiviliansI01HX002611 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI HOGGATT, KATHERINE JOANN, YANO, ELIZABETH M · 2020 to 2023
–
HSR&D Senior Research Career Scientist AwardIK6HX003395 · VA · PORTLAND VA MEDICAL CENTER · PI Denise M. Hynes · 2021 to 2026
–
HSRD VA I01 HX002611HSRD VA IK6 HX002836HSRD VA IK6 HX003395
6 · The paper itself

Abstract

backgroundCurrent measures of condition-specific disabilities or those capturing only severe limitations may underestimate disability prevalence, including among Veterans.

objectivesTo develop a comprehensive measure to characterize and compare disabilities among US Veterans and non-Veterans.

methodsUsing 2015-2018 pooled cross-sectional National Health Interview Survey data, we compared the frequency and survey-weighted prevalence of non-mutually exclusive sensory, social, and physical disabilities by Veteran status. We developed a measure for and examined the frequency and survey-weighted prevalence of eight mutually exclusive disability categories-sensory only; physical only; social only; sensory and physical; social and sensory; physical and social; and sensory, social, and physical.

resultsAmong 118,818 NHIS respondents, 11,943 were Veterans. Veterans had a greater prevalence than non-Veterans of non-mutually exclusive physical [52.01% vs. 34.68% (p < 0.001)], sensory [44.47% vs. 21.79% (p < 0.001)], and social [17.20% vs. 11.61% (p < 0.001)] disabilities (after survey-weighting). The most frequently reported mutually exclusive disability categories for both Veterans and non-Veterans were sensory and physical (19.20% and 8.02%, p < 0.001) and physical only (16.24% and 15.69%, p = 0.216) (after survey-weighting). The least frequently reported mutually exclusive disability categories for both Veterans and non-Veterans were social only (0.31% and 0.44%, p = 0.136) and sensory and social (0.32% and 0.20%, respectively, 0.026) (after survey-weighting).

conclusionsOur disability metric demonstrates that Veterans have a higher disability prevalence than non-Veterans, and a higher prevalence than previously reported. Public policy and future research should consider this broader definition of disability to more fully account for the variable needs of people with disabilities.

Indexed as

Disability EvaluationHealth SurveysPersons with DisabilitiesVeteransAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceUnited StatesYoung AdultDisabilityMeasurementPrevalenceUS national health interview surveyVeterans

Identifiers

PMID38906274
PMCPMC13577307

What OpenQuestion holds

Textmetadata
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.