Evidence map›Paper›PMID 37521495›Full record

ReviewNpj mental health research2022

Association of statewide stay-at-home orders with utilization of case management and supportive services for veterans experiencing housing insecurity.

Eric Jutkowitz, Christopher Halladay, Jack Tsai, Dina Hooshyar, Portia Y Cornell, James L Rudolph

Open access · diamondAbstract readReview
In one paragraph

Review in Npj mental health research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 4 institutions in 1 country.

Eric JutkowitzCenter of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI USA.
Christopher HalladayCenter of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI USA.
Jack TsaiVA National Center on Homelessness among Veterans, Tampa, FL USA.
Dina HooshyarVA National Center on Homelessness among Veterans, Tampa, FL USA.
Portia Y CornellCenter of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI USA.
James L RudolphCenter of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI USA.
Providence VA Medical Center · USBrown University · USThe University of Texas Health Science Center at Houston · USThe University of Texas Southwestern Medical Center · US

Funding

Microsimulation Modeling to Compare the Effectiveness and Cost-Effectiveness of Nondrug Interventions to Manage Clinical Symptoms in Racially/Ethnically Diverse Persons with DementiaR01AG060871 · NIA · BROWN UNIVERSITY · PI JUTKOWITZ, ERIC · 2019 to 2022
$1.7M
Informal Resources of Persons Living with Alzheimer's Disease and Related Dementias: Impact on Hospitalizations, Potentially Avoidable Hopsitalizations and Nursing Home AdmissionsR21AG059623 · NIA · BROWN UNIVERSITY · PI JUTKOWITZ, ERIC · 2018 to 2019
$454k
NIA NIH HHS R01 AG060871NIA NIH HHS R21 AG059623
6 · The paper itself

Abstract

The US Department of Housing and Urban Development-Department of Veterans Affairs (VA) Supportive Housing (HUD-VASH) program provides Veterans with a subsidy for rent and case management. In response to the Coronavirus 2019 pandemic, many states enacted stay-at-home orders that may have limited access to case managers. Therefore, we examined the association between statewide stay-at-home orders and utilization of HUD-VASH case management. We linked data on whether a state implemented a statewide stay-at-home order between March 1, 2020 and April 30, 2020 with VA medical records. Analysis time was centered on the date of a state's stay-at-home order (exposed states). For Veterans in states without a stay-at home-order (unexposed states), we used the average date exposed states implemented an order (March 27, 2020). We used a difference-in-difference design and adjusted linear regression models to compare total, in-person, telephone, and video case management encounters per Veteran in the 60 days after a stay-at-home order relative to the prior year. There was no significant difference in utilization of case management between Veterans who lived in states that did and did not issue a stay-at-home order. Across all states and in the 60 days after the index date relative to the prior year, Veterans had more total, telephone and video, and fewer in-person encounters. Statewide stay-at-home orders did not differentially affect utilization of case management. Virtual case management in HUD-VASH can increase program reach; however, the effect of virtual case management on outcomes such as quality of life and Veteran satisfaction is unknown.

Indexed as

Medical researchOutcomes researchRisk factors

Identifiers

PMID37521495
PMCPMC9412792
OpenAlexW4293109616

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.