Evidence map›Paper›PMID 23435765›Full record

Trial reportJournal of general internal medicine2013

PTSD risk and mental health care engagement in a multi-war era community sample of women veterans.

Donna L Washington, Teri D Davis, Claudia Der-Martirosian, Elizabeth M Yano

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of general internal medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
7.5field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Observational
  10. Observational
  11. Observational
  12. Article
  13. Article
  14. Health-related quality of life and comorbidity among older women veterans in the United States.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2013
    Article
  15. PTSD women Veterans' prevalence of PTSD care.Journal of general internal medicine · 2013
    Article
  16. PTSD women Veterans' prevalence of PTSD care.Journal of general internal medicine · 2013
    Article
  17. Improving health of veterans through research collaborations.Journal of general internal medicine · 2013
    Article
  18. Estimated Prevalence of Insomnia among Women Veterans: Results of a Postal Survey.Women's health issues : official publication of the Jacobs Institute of Women's Health
    Article
  19. Article
  20. COVID-19 Infection in the Veterans Health Administration: Gender-specific Racial and Ethnic Differences.Women's health issues : official publication of the Jacobs Institute of Women's Health
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Donna L WashingtonVA Greater Los Angeles Health Services Research and Development (HSR&D) Center of Excellence for the Study of Healthcare Provider Behavior, Sepulveda, Sepulveda, CA, USA. Donna.washington@va.gov
Teri D Davis
Claudia Der-Martirosian
Elizabeth M Yano
Health Services Research & Development · USCenter for the Study of Healthcare Provider Behavior · USUCLA Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-traumatic stress disorder (PTSD) is common in women veterans (WVs), and associated with significant co-morbidity. Effective treatment is available; however, PTSD is often unrecognized.

objectivesIdentify PTSD prevalence and mental healthcare (MHC) use in a representative national WV sample. DESIGN AND

participantsCross-sectional, population-based 2008-2009 national survey of 3,611 WVs, weighted to the population. MAIN MEASURES: We screened for PTSD using a validated instrument, and also assessed demographic characteristics, health characteristics, and MHC use in the prior 12 months. Among those screening positive, we conducted multivariate logistic regression to identify independent predictors of MHC use. KEY

resultsOverall, 13.0 % (95 % confidence interval [CI] 9.8-16.2) of WVs screened PTSD-positive. Veterans Health Administration (VA) healthcare was used by 31.1 % of PTSD-positives and 11.4 % of PTSD-negatives (p<0.001). Among those screening positive, 48.7 % (95 % CI 35.9-61.6) used MHC services (66.3 % of VA-users, 40.8 % of VA-nonusers; p<0.001). Having a diagnosis of depression (OR=8.6; 95 % CI 1.5-48.9) and VA healthcare use (OR=2.7; 95 % CI 1.1-7.0) predicted MHC use, whereas lacking a regular provider for health care (OR=0.2; 95 % CI 0.1-0.4) and household income below the federal poverty level (OR=0.2; 95 % CI 0.1-0.5) predicted nonuse.

conclusionsMore than one in eight WVs screened positive for PTSD. Though a majority of VA-users received MHC, low income predicted nonuse. Only a minority of VA-nonusers received MHC. The majority of WVs use non-VA healthcare providers, who may be unaware of their veteran status and PTSD risk. VA outreach to educate VA-nonusers and their healthcare providers about WVs' PTSD risk and available evidence-based VA treatment options is one approach to extend the reach of VA MHC. Research to characterize barriers to VA MHC use for VA-nonusers and low income VA-users is warranted to better understand low service utilization, and to inform program development to engage more WVs in needed MHC.

Indexed as

Residence CharacteristicsWarfareAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMental Health ServicesMiddle AgedPopulation SurveillanceRisk FactorsStress Disorders, Post-TraumaticUnited StatesVeteransVeterans Health

Identifiers

PMID23435765
PMCPMC3682036
OpenAlexW1963855511

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.