Evidence map›Paper›PMID 36564110›Full record

ArticleBMJ open2022

Impact of selective licensing schemes for private rental housing on mental health and social outcomes in Greater London, England: a natural experiment study.

Jakob Petersen, Alexandros Alexiou, David Brewerton, Laura Cornelsen, Emilie Courtin, Steven Cummins, Dalya Marks, Maureen Seguin, Jill Stewart, Kevin Thompson and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

11 authors at 4 institutions in 2 countries.

Jakob PetersenPublic Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK jakob.petersen@qmul.ac.uk.ORCID 0000-0002-6659-7028
Alexandros AlexiouDepartment of Public Health and Policy, University of Liverpool Faculty of Health and Life Sciences, Liverpool, UK.
David BrewertonPatient and Public Involvement Representative, London, UK.
Laura CornelsenPublic Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0003-3769-8740
Emilie CourtinPublic Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK.
Steven CumminsPublic Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-3957-4357
Dalya MarksPublic Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK.
Maureen SeguinPublic Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0003-4786-9400
Jill StewartSchool of Science & Technology, Department of Natural Sciences, Middlesex University, London, UK.
Kevin ThompsonHead of Private Sector Housing, London Borough of Hackney, London, UK.
Matt EganPublic Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK.
Society for Public Health Education · USMiddlesex University · GBUnited States Department of Housing and Urban Development · USUniversity of Liverpool · GB

Funding

Medical Research Council MR/T032499/1
6 · The paper itself

Abstract

objectivesTo assess primary impact of selective Licensing (SL), an area-based intervention in the private rented housing market, on individual self-reported anxiety and neighbourhood mental health (MHI-Mental Healthcare Index) and secondary impacts on antisocial behaviour (ASB), population turnover and self-reported well-being.

designDifference-in-difference (DiD) was used to evaluate effects of SL schemes initiated 2012-2018. 921 intervention areas (lower super output areas) were matched 3:1 using propensity scores derived from sociodemographic and housing variables (N=3.684 including controls). Average treatment effect on treated (ATT) was calculated for multiple time period DiD in area-level analyses. Canonical DiD was used for individual-level analysis by year of treatment initiation while adjusting for age, sex, native birth and occupational class.

settingIntervention neighbourhoods and control areas in Greater London, UK, 2011-2019.

participantsWe sampled 4474 respondents renting privately in intervention areas (N=17 347 including controls) in Annual Population Survey and obtained area-level MHI population data.

interventionsPrivate landlords in SL areas must obtain a licence from the local authority, allow inspection and maintain minimum housing standards.

resultsATT after 5 years was significantly lower for MHI (-7.5%, 95% CI -5.6% to -8.8%) than controls. Antidepressant treatment days per population reduced by -5.4% (95% CI -3.7% to -7.3), mental health benefit receipt by -9.6% (95% CI -14% to -5.5%) and proportion with depression by -12% (95% CI -7.7% to -16.3%). ASB reduced by -15% (95% CI -21% to -8.2%). Population turnover increased by 26.5% (95% CI 22.1% to 30.8%). Sensitivity analysis suggests overlap with effects of London 2012 Olympic regeneration. No clear patterns were observed for self-reported anxiety.

conclusionsWe found associations between SL and reductions in area-based mental healthcare outcomes and ASB, while population turnover increased. A national evaluation of SL is feasible and necessary.

Indexed as

HousingMental HealthEnglandHumansLondonResidence Characteristicsepidemiologymental healthpublic health

Identifiers

PMID36564110
PMCPMC9791445
OpenAlexW4312107402

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.