Evidence map›Paper›PMID 34924360›Full record

Trial reportFamily medicine and community health2021

Cash transfer during the COVID-19 pandemic: a multicentre, randomised controlled trial.

Navindra Persaud, Kevin E Thorpe, Michael Bedard, Stephen W Hwang, Andrew Pinto, Peter Jüni, Bruno R da Costa, DISTANSE COVID-19 (Direct Income SupporT and Advice Negating Spread of Epidemic COVID-19: a randomized controlled trial) study team

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in Family medicine and community health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04359264 (Direct Income SupporT and Advice Negating Spread of Epidemic COVID-19), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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.

NCT04359264 naunknown statusnot on this map

Direct Income SupporT and Advice Negating Spread of Epidemic COVID-19: a Randomized Controlled Trial (DISTANSE COVID-19 RCT)

TypeinterventionalSponsorUnity Health TorontoRan2020 to 2020Enrolled392ConditionsCOVID-19ArmsCash transfer
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. An Unconditional Cash Transfer Program for Low-Income New Yorkers Affected by COVID-19.Journal of urban health : bulletin of the New York Academy of Medicine · 2023
    Article
  6. Clinical trial research agenda on COVID-19 - the first two years in Germany and beyond.Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen · 2022
    Review
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

8 authors.

Navindra PersaudDepartment of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada nav.persaud@utoronto.ca.ORCID 0000-0003-3327-5580
Kevin E ThorpeInstitute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Michael BedardDepartment of Family Medicine, Northern Ontario School of Medicine, Thunder Bay, Ontario, Canada.
Stephen W HwangMAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.
Andrew PintoDepartment of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada.
Peter Jüni *Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Bruno R da Costa *Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada.
DISTANSE COVID-19 (Direct Income SupporT and Advice Negating Spread of Epidemic COVID-19: a randomized controlled trial) study team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the effect of a one-time cash transfer of $C1000 in people who are unable to physically distance due to insufficient income.

designOpen-label, multi-centre, randomised superiority trial.

settingSeven primary care sites in Ontario, Canada; six urban sites associated with St. Michael's Hospital in Toronto and one in Manitoulin Island.

participants392 individuals who reported trouble affording basic necessities due to disruptions related to COVID-19.

interventionAfter random allocation, participants either received the cash transfer of $C1000 (n=196) or physical distancing guidelines alone (n=196).

main outcome measuresThe primary outcome was the maximum number of symptoms consistent with COVID-19 over 14 days. Secondary outcomes were meeting clinical criteria for COVID-19, SARS-CoV-2 presence, number of close contacts, general health and ability to afford basic necessities.

resultsThe primary outcome of number of symptoms reported by participants did not differ between groups after 2 weeks (cash transfer, mean 1.6 vs 1.9, ratio of means 0.83; 95% CI 0.56 to 1.24). There were no statistically significant effects on secondary outcomes of the meeting COVID-19 clinical criteria (7.9% vs 12.8%; risk difference -0.05; 95% CI -0.11 to 0.01), SARS-CoV-2 presence (0.5% vs 0.6%; risk difference 0.00 95% CI -0.02 to 0.02), mean number of close contacts (3.5 vs 3.7; rate ratio 1.10; 95% CI 0.83 to 1.46), general health very good or excellent (60% vs 63%; risk difference -0.03 95% CI -0.14 to 0.08) and ability to make ends meet (52% vs 51%; risk difference 0.01 95% CI -0.10 to 0.12).

conclusionsA single cash transfer did not reduce the COVID-19 symptoms or improve the ability to afford necessities. Further studies are needed to determine whether some groups may benefit from financial supports and to determine if a higher level of support is beneficial. TRIAL REGISTRATION NUMBER: NCT04359264.

Indexed as

COVID-19Financial StatementsHumansOntarioPandemicsSARS-CoV-2COVID-19health equitypreventive medicine

Identifiers

PMID34924360
PMCPMC8662581

What OpenQuestion holds

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LicenceCC BY-NC
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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.