ArticleMilitary medicine2020
Health Care Utilization Among Homeless Veterans in Chicago.
Article in Military medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Improving Identification of Patients Experiencing Homelessness in the Electronic Health Record: A Curated Registry Approach.Journal of general internal medicine · 2024Article
- Comparing Trauma Treatment Outcomes Between Homeless and Housed Veterans in a VA PTSD Clinical Program.Community mental health journal · 2023Article
- The Impact of Name Transformation on Match Rates Within a Large Consumer Database.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Integrating Interprofessional Trainees into a Complex Care Program for Veterans Experiencing Homelessness: Effects on Health Services Utilization.Journal of general internal medicine · 2021Article
- Determinants of health care use among homeless individuals: evidence from the Hamburg survey of homeless individuals.BMC health services research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
introductionThe U.S. Department of Veterans Affairs (VA), the single largest health care system in the United States, provides comprehensive medical and behavioral health services to more than 9 million Veterans. The size and scope of the VA's system of care allow health care providers, policymakers, and community stakeholders to conduct detailed analyses of health care utilization among Veterans; however, these analyses do not include health care encounters that occur outside VA. Although many Veterans obtain care in non-VA settings, understanding health care utilization among vulnerable populations of Veterans, including those who are homeless or at risk of becoming homeless, is needed to identify potential opportunities to enhance access and reduce fragmentation of care. MATERIALS AND
methodsVA administrative data were merged with data from the Chicago HealthLNK Data Repository to identify Veterans eligible for VA services who were homeless, or at risk of becoming homeless, in the greater Chicago metropolitan area for the years 2010-2012.
resultsDuring the 3-year study period, about 208,554 Veterans were registered for care at two VA medical centers located in the City of Chicago and an adjacent suburb. Of those, 13,948 were identified as homeless or at risk of becoming homeless. Results suggest that 17% (n = 2,309) of Veterans in this sample received some or all of their care in the community. Much of the care these Veterans received was for chronic health conditions, substance use, and mental health disorders.
conclusionsVeterans eligible for VA servicers who are homeless, or at risk of becoming homeless, frequently sought care in the community for a variety of chronic health conditions. Health information exchanges and partner-based registries may represent an important tool for identifying vulnerable Veteran populations while reducing duplication of care.
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What OpenQuestion holds
Registered trials
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.