Evidence map›Paper›PMID 35820777›Full record

ArticleMedical humanities2023

Of not passing: homelessness, addiction, mental health and care during COVID-19.

Johannes Lenhard, Megan Margetts, Eana Meng

Abstract read
In one paragraph

Article in Medical humanities, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

3 authors.

Johannes LenhardUniversity of Cambridge, Cambridge, Cambridgeshire, UK jfl37@cam.ac.uk.ORCID http://orcid.org/0000-0003-2532-3415
Megan MargettsUniversity of Cambridge, Cambridge, Cambridgeshire, UK.
Eana MengHarvard Medical School, Boston, Massachusetts, USA.

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
NIGMS NIH HHS T32 GM144273
6 · The paper itself

Abstract

People experiencing homelessness in the UK were unconditionally offered housing (and support) from the beginning of the first lockdown in March 2020. For many, that meant '(re)entering' the support system and having a chance to 'move on' to longer-term housing. This beneficial effect of some of the policy reactions to the pandemic on people experiencing homelessness was unexpected. On the flip side, however, particularly for people struggling with drug use and mental health issues, adequate support was not available for long periods of time; support was either suspended temporarily or people were excluded from institutional support for not adhering to, for instance, lockdown rules. Similarly, digital support alternatives-modelled on increasingly widespread telemedicine-did often not work specifically for people struggling with complex needs or women experiencing homelessness. This research paper reports detailed evidence of what we observed as continued and catalysed exclusions based on interviews and ethnographic observations with both people experiencing homelessness and service providers from the beginning of the COVID-19 pandemic. Referring to our insights and learnings from three locally and temporally overlapping research projects between May 2020 and April 2021, we also propose changes to redesign future (health)care provision to prevent such impasses-which extend beyond lockdown situations to general conditional housing and support.

Indexed as

COVID-19Ill-Housed PersonsCommunicable Disease ControlFemaleHumansMental HealthPandemicsAnthropologyCOVID-19Drug and alcohol misuseHealth policyMental health care

Identifiers

PMID35820777
PMCPMC9985758

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.