MétaCan
Menu
Retour à la cohorte
Enregistrement W3033949265 · doi:10.1016/s2468-2667(20)30120-1

Effective interventions for homeless populations: the evidence remains unclear

2020· article· en· W3033949265 sur OpenAlexaboutno aff
Sophie Wickham

Notice bibliographique

RevueThe Lancet Public Health · 2020
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHomelessness and Social Issues
Établissements canadiensnon disponible
Organismes subventionnairesWellcome Trust
Mots-clésPsychological interventionMEDLINEMedicineGerontologyPsychologyPsychiatryBiology

Résumé

récupéré en direct d'OpenAlex

A wealth of evidence demonstrates the damaging long-term effects of homelessness on health. Homeless individuals are at higher risk of infections, traumatic injuries, and violence, and are more likely to have multimorbidities, disabilities, and to die young.1National Academies of Sciences Engineering and MedicineEvidence of effect of permanent supportive housing on health.in: Permanent supportive housing: evaluating the evidence for improving health outcomes among people experiencing chronic homelessness. The National Academies Press, Washington, DC2018: 38-57Google Scholar The Organisation for Economic Co-operation and Development (OECD) estimate that at present, 1·9 million people across OECD countries are homeless.2Organisation for Economic Co-operation and DevelopmentHC3.1 Homeless populations.https://www.oecd.org/els/family/HC3-1-Homeless-population.pdfDate: 2020Date accessed: April 28, 2020Google Scholar In the USA, on a single night in January, 2019, an estimated 567 715 people were experiencing homelessness, representing an increase of 3% from 2018.3Henry M Watt R Mahathey A Ouellette J Sitler A The 2019 annual homeless assessment report (AHAR) to congress.https://files.hudexchange.info/resources/documents/2019-AHAR-Part-1.pdfDate: 2020Date accessed: April 28, 2020Google Scholar Homelessness among people with children has risen substantially over the past decade: in England, families experiencing homelessness increased by 42% between 2010 and 2017, and in the USA, families with children represent around a third of the homeless population.2Organisation for Economic Co-operation and DevelopmentHC3.1 Homeless populations.https://www.oecd.org/els/family/HC3-1-Homeless-population.pdfDate: 2020Date accessed: April 28, 2020Google Scholar The damaging long-term effects of homelessness on the health of children, which include physical changes in brain structure, negative educational outcomes, and adverse long-term social and psychological outcomes, are stark.4Hair NL Hanson JL Wolfe BL Pollak SD Association of child poverty, brain development, and academic achievement.JAMA Pediatrics. 2015; 169: 822Crossref PubMed Scopus (475) Google Scholar, 5Marmot MG Allen J Goldblatt P et al.Fair society, healthy lives: the Marmot review.http://www.instituteofhealthequity.org/resources-reports/fair-society-healthy-lives-the-marmot-review/fair-society-healthy-lives-full-report-pdf.pdfDate: 2010Date accessed: April 28, 2020Google Scholar, 6Galobardes B Lynch JW Smith GD Is the association between childhood socioeconomic circumstances and cause-specific mortality established? Update of a systematic review.J Epidemiol Community Health. 2008; 62: 387-390Crossref PubMed Scopus (278) Google Scholar, 7Buckner JC Understanding the impact of homelessness on children: challenges and future research directions.Am Behav Sci. 2008; 51: 721-736Crossref Scopus (125) Google Scholar Strong evidence suggests that tackling poverty through increasing income and good quality housing are effective ways to achieve multiple positive health outcomes across the life course.8Cooper K Stewart K Does money affect children's outcomes? An update. 2017.http://sticerd.lse.ac.uk/dps/case/cp/casepaper203.pdfDate accessed: April 28, 2020Google Scholar, 9Cooper K Stewart K Does money in adulthood affect adult outcomes?. Joseph Rowntree Foundation, York2015Google Scholar However, questions remain about the impact of specific interventions on health and wellbeing—eg, which support structures are successful in ensuring permanent and stable housing for individuals and families experiencing homelessness and also have a positive impact on the health and wellbeing of those individuals? These questions require consideration within the scope of national political, welfare, and social systems. The increasing levels of homelessness, not just in adults, but among families with young children, represent an important ongoing public health priority. As the transmission of coronavirus disease 2019 continues between people, the virus will have a substantial impact on individuals with underlying health conditions (representing a large proportion of the homeless population), thus it is imperative that countries consult the most up-to-date evidence to support vulnerable populations during the pandemic.10Tsai J Wilson M COVID-19: a potential public health problem for homeless populations.Lancet Public Health. 2020; 2: 19-20Google Scholar In The Lancet Public Health, Tim Aubry and colleagues11Aubry T Bloch G Brcic V et al.Effectiveness of permanent supportive housing and income assistance interventions for homeless individuals in high-income countries: a systematic review.Lancet Public Health. 2020; 5: e342-e360Summary Full Text Full Text PDF PubMed Scopus (56) Google Scholar present a systematic review of 15 studies on permanent supportive housing and ten studies on income assistance interventions for homeless populations in Canada and the USA. The review offers an important and timely contribution to the existing evidence base. The authors considered a wide range of outcomes to investigate the effect of permanent supportive housing and income assistance interventions for people experiencing homelessness, including housing stability, mental health, quality of life, substance use, hospital admission, employment, and earned income. Although the number of original studies included was low, the authors used high quality methods to synthesise the evidence, and their findings suggest that permanent supportive housing is effective at maintaining stable housing for all age groups and for participants with a variety of support needs. Permanent supportive housing interventions increased long-term (6 year) housing stability for participants with moderate support needs (rate ratio [RR] 1·13 [95% CI 1·01–1·26]) and high support needs (RR 1·42 [1·19–1·69]) when compared with usual care. Results of a meta-analysis showed that at 2 years, permanent supportive housing resulted in more participants in stable housing than in usual services (odds ratio 3·58, 95% CI 2·36–5·43). However, permanent supportive housing had no measurable effect on the severity of psychiatric symptoms when compared with usual services, unless it was offered with additional services, such as integrated on site case management or assertive community treatment services. Assessment of quality-of-life outcomes, substance use, and hospital admission showed that permanent supportive housing had short-term effects, but no long-term effects were observed. Data on income and employment outcomes were scarce, thus the impact of permanent supportive housing on these outcomes could not be assessed. The findings for income assistance interventions were similar to those for permanent supportive housing, however the evidence is harder to synthesise. Five types of income assistance interventions were identified: housing subsidies, assistance finding housing and rental supplements, financial education, compensated work therapy, and individual placement and support. Housing subsidies and assistance finding housing and rentals had positive effects on housing stability. Income assistance interventions had no long-term benefits for other health and wellbeing outcomes. Aubry and colleagues' review highlights many uncertainties and important issues regarding the synthesis of available data, which must be considered at the international level. First, measuring levels of homelessness accurately and consistently over time is crucial to guide public policy, to track the impact of interventions on stable housing, health, and wellbeing outcomes, and to facilitate international comparisons. To accomplish this successfully, a unified definition of homelessness and standardised methods to measure experiences of homelessness internationally are required. Second, substantial heterogeneity was identified between studies in terms of design, intervention models, usual care models, and outcome measures, with many studies at high risk of bias, which makes it difficult to form clear conclusions to guide policy. Third, the paucity of data on health and wellbeing outcomes might be a result of the short follow-up of the included studies: the longest follow-up was 6 years in a single study. Importantly, the evidence is scarce. It is imperative that grant bodies and researchers consider the long-term health outcomes of homelessness interventions, because a time lag is often observed between the implementation of these types of intervention and any observable health effects. I declare no competing interests. Effectiveness of permanent supportive housing and income assistance interventions for homeless individuals in high-income countries: a systematic reviewPermanent supportive housing and income assistance interventions were effective in reducing homelessness and achieving housing stability. Future research should focus on the long-term effects of housing and income interventions on physical and mental health, substance use, and quality-of-life outcomes. Full-Text PDF Open Access

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,744
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0030,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,601
Tête enseignante GPT0,558
Écart entre enseignants0,043 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2020
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueThe Lancet Public HealthMême sujetHomelessness and Social IssuesTravaux en français237 207