Evidence map›Paper›PMID 25973822›Full record

ArticleAmerican journal of public health2015

Health Outcomes of Obtaining Housing Among Older Homeless Adults.

Rebecca T Brown, Yinghui Miao, Susan L Mitchell, Monica Bharel, Mitkumar Patel, Kevin L Ard, Laura J Grande, Deborah Blazey-Martin, Daniella Floru, Michael A Steinman

Abstract read
In one paragraph

Article in American journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Homeless Shelter Characteristics and Prevalence of SARS-CoV-2.The western journal of emergency medicine · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Rebecca T BrownRebecca T. Brown and Michael A. Steinman are with the Division of Geriatrics, University of California, San Francisco. Yinghui Miao is with the San Francisco Veterans Affairs Medical Center, San Francisco, CA. Susan L. Mitchell is with the Hebrew SeniorLife Institute for Aging Research, Boston, MA. Monica Bharel is with the Boston Health Care for the Homeless Program, Boston. Kevin L. Ard is with the Department of Medicine, Brigham and Women's Hospital, Boston. Mitkumar Patel is with the Department of Medicine, St. Elizabeth's Medical Center, Boston. Laura J. Grande is with the Psychology Service, Veterans Affairs Boston Healthcare System, Boston. Deborah Blazey-Martin is with the Department of Medicine, Tufts Medical Center, Boston. Daniella Floru is with the Division of Geriatric Medicine, Lemuel Shattuck Hospital, Boston.
Yinghui Miao
Susan L Mitchell
Monica Bharel
Mitkumar Patel
Kevin L Ard
Laura J Grande
Deborah Blazey-Martin
Daniella Floru
Michael A Steinman

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Louise C. Walter · 2013 to 2026
$19.9M
Clinical and Transtional Science InstituteKL2TR000143 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$11.9M
Prescribing cascades in older adults with and without dementiaK24AG049057 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEINMAN, MICHAEL A. · 2015 to 2025
$1.8M
Midcareer Mentoring Award for Patient-Oriented Research in AgingK24AG033640 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI MITCHELL, SUSAN L · 2009 to 2018
$1.8M
Epidemiology and Outcomes of Premature Geriatrics SyndromesK23AG045290 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BROWN, REBECCA TYLER · 2014 to 2018
$882k
Guideline Adherence in Elders With Multiple ComorbiditiesK23AG030999 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEINMAN, MICHAEL A. · 2008 to 2010
$391k
NCATS NIH HHS KL2 TR000143NIA NIH HHS 1K23 AG030999NIA NIH HHS K23 AG030999NIA NIH HHS K23 AG045290NIA NIH HHS K24 AG033640NIA NIH HHS K24 AG049057NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

objectivesWe determined the impact of obtaining housing on geriatric conditions and acute care utilization among older homeless adults.

methodsWe conducted a 12-month prospective cohort study of 250 older homeless adults recruited from shelters in Boston, Massachusetts, between January and June 2010. We determined housing status at follow-up, determined number of emergency department visits and hospitalizations over 12 months, and examined 4 measures of geriatric conditions at baseline and 12 months. Using multivariable regression models, we evaluated the association between obtaining housing and our outcomes of interest.

resultsAt 12-month follow-up, 41% of participants had obtained housing. Compared with participants who remained homeless, those with housing had fewer depressive symptoms. Other measures of health status did not differ by housing status. Participants who obtained housing had a lower rate of acute care use, with an adjusted annualized rate of acute care visits of 2.5 per year among participants who obtained housing and 5.3 per year among participants who remained homeless.

conclusionsOlder homeless adults who obtained housing experienced improved depressive symptoms and reduced acute care utilization compared with those who remained homeless.

Indexed as

AgedBostonDepressionEmergency Service, HospitalFemaleHealth StatusHospitalizationHousingHumansIll-Housed PersonsMaleMiddle Aged

Identifiers

PMID25973822
PMCPMC4458186

What OpenQuestion holds

Textmetadata
LicenceTDM
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.