Evidence map›Paper›PMID 32976633›Full record

Trial reportHealth services research2020

A randomized trial of permanent supportive housing for chronically homeless persons with high use of publicly funded services.

Maria C Raven, Matthew J Niedzwiecki, Margot Kushel

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07587073 (A Pragmatic Cluster-Randomized Evaluation of Enhanced Care Management With Community Supports, Transitional Care, and Residential Care Coordination for High-Risk Medi-Cal Members Under CalAIM in California), which is not on this map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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.

NCT07587073 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

A Pragmatic Cluster-Randomized Evaluation of Enhanced Care Management With Community Supports, Transitional Care, and Residential Care Coordination for High-Risk Medi-Cal Members Under CalAIM in California

TypeinterventionalSponsorStratiHealthRan2026 to 2028Enrolled1,200ConditionsComplex Care, Post-Acute Care Utilization, Housing Instability, Residential Care TransitionArmsComprehensive CalAIM Care Bundle, Usual CalAIM Service Delivery
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  5. Article
  6. Mortality among individuals living in permanent supportive housing: A retrospective cohort study.Canadian journal of public health = Revue canadienne de sante publique · 2026
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  18. PRELIMINARY IMPACT OF SUPPORTIVE HOUSING ON HOSPITAL UTILIZATION FOR INDIVIDUALS EXPERIENCING HOMELESSNESS.Transactions of the American Clinical and Climatological Association · 2024
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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

3 authors.

Maria C RavenDepartment of Emergency Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-6767-8404
Matthew J NiedzwieckiDepartment of Emergency Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-9005-9054
Margot KushelMathematica Policy Research, Oakland, CA, USA.

Funding

Mentoring Researchers in Aging in Vulnerable PopulationsK24AG046372 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KUSHEL, MARGOT B · 2015 to 2025
$1.9M
NIA NIH HHS K24 AG046372
6 · The paper itself

Abstract

objectiveTo examine whether randomization to permanent supportive housing (PSH) versus usual care reduces the use of acute health care and other services among chronically homeless high users of county-funded services. DATA SOURCES: Between 2015 and 2019, we assessed service use from Santa Clara County, CA, administrative claims data for all county-funded health care, jail and shelter, and mortality. STUDY

designWe conducted a randomized controlled trial among chronically homeless high users of multiple systems. We compared postrandomization outcomes from county-funded systems using multivariate regression analysis. DATA COLLECTION: We extracted encounter data from an integrated database capturing health care at county-funded facilities, shelter and jails, county housing placement, and death certificates. PRINCIPAL

findingsWe enrolled 423 participants (199 intervention; 224 control). Eighty-six percent of those randomized to PSH received housing compared with 36 percent in usual care. On average, the 169 individuals housed by the PSH intervention have remained housed for 28.8 months (92.9 percent of the study follow-up period). Intervention group members had lower rates of psychiatric ED visits IRR 0.62; 95% CI [0.43, 0.91] and shelter days IRR 0.30; 95% CI [0.17, 0.53], and higher rates of ambulatory mental health services use IRR 1.84; 95% CI [1.43, 2.37] compared to controls. We found no differences in total ED or inpatient use, or jail. Seventy (37 treatment; 33 control) participants died.

conclusionsThe intervention placed and retained frequent user, chronically homeless individuals in housing. It decreased psychiatric ED visits and shelter use, and increased outpatient mental health care, but not medical ED visits or hospitalizations. Limitations included more than one-third of usual care participants received another form of subsidized housing, potentially biasing results to the null, and loss of power due to high death rates. PSH can house high-risk individuals and reduce emergent psychiatric services and shelter use. Reductions in hospitalizations may be more difficult to realize.

Indexed as

AdultEmergency Service, HospitalFemaleHealth StatusHumansIll-Housed PersonsMaleMental Health ServicesMiddle AgedPatient Acceptance of Health CarePublic HousingSocioeconomic Factorscriminal justicefrequent usershomelessnessintegrated datapermanent supportive housing

Identifiers

PMID32976633
PMCPMC7518819

What OpenQuestion holds

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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.