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Enregistrement W7161840605 · doi:10.82308/7012

Economic impacts and cost-effectiveness of housing first interventions for people experiencing homelessness

2024· dissertation· en· W7161840605 sur OpenAlexaboutno aff
Charlene Weight

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineHealth Professions
ThématiqueHomelessness and Social Issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAssertive community treatmentHousing FirstPsychological interventionEconomic impact analysisRandomized controlled trialEconomic evaluationEconomic costBaseline (sea)

Résumé

récupéré en direct d'OpenAlex

Background. Housing First (HF) provides rent supplements and supports to help homeless individuals with mental illness obtain stable housing. A 2015 literature review reported that HF was associated with cost offsets, however, they tended to be less than the cost of the intervention. Since then, additional studies, including the finalized cost-effectiveness analyses of the At Home/Chez Soi (AHCS) trial, have been published.AHCS recruited participants in 5 Canadian cities from October 2009 to June 2011 and followed them for up to 24 months. At baseline, participants were classified as high-needs (HN) or moderate-needs (MN). HN participants were randomized to receive either HF with Assertive Community Treatment (ACT) or Treatment as Usual (TAU), while MN participants were randomized to receive either HF with Intensive Case Management (ICM) or TAU, until at least March 2013. In Montreal, HF services were reduced after March 2013. Participants’ use of services over 6 months 4 years after baseline was collected between February 2014 and March 2015.Objectives. The goals of this thesis were to (1) provide an updated review of the economic impacts of HF and (2) evaluate the cost-effectiveness of HF in Montreal 48 months post-baseline. Methods. (1) A systematic review was performed on MEDLINE, Google, and the Homeless Hub repository, from January 2007 to December 2022. Study characteristics and results were extracted from selected studies; (2) Effectiveness was measured using the number of days of stable housing and days in one’s own apartment. The cost-effectiveness of HF with ACT compared to TAU and HF with ICM compared to TAU were evaluated.Results. (1) Twenty-one studies were retained. Shelter, emergency department, and inpatient costs decreased with HF, while impacts on other health and justice costs were inconsistent. Among studies that reported the cost of the intervention, 2 of the 3 pre–post studies reported a decrease in net costs with HF. The 3 quasi-experimental studies with a comparison group reported an increase in net costs. Four of 5 experimental studies reported an increase in net costs, while one, conducted in France, reported cost offsets equal to the cost of the intervention. Two modeling studies projected that HF would be associated with decreased or marginally higher net costs over 10- and 35-year horizons. (2) 362 participants were included. At 43-48 months, in the HF with ACT group, 34.6% of participants received rent supplements, 7.1% received ACT, and 25.6% received both services. Corresponding percentages for the HF with ICM group were all 17.7%. The average cost for the HF with ACT group ($71,859 (95% CI: $52,300, $83,900)) was higher than for the TAU group ($67,448 ($45,000, 84,900)), and effectiveness was similar (200 (155, 237) vs 195 (151, 240)) when using days of stable housing. The average cost was slightly lower for the HF with ICM group than for TAU ($42,894 ($32,900, $44,600) vs $44,301 ($33,400, $48,800)) while effectiveness was greater (274 (253, 293) vs 225 (190, 257)). Effectiveness measured as days in an apartment was greater for the HF group for both need levels. The incremental cost-effectiveness ratio (ICER) was $873 per day of stable housing (undefined, $3,150) for HF with ACT, while HF with ICM was dominant (undefined, $356). When the measure of effectiveness was changed to days in an apartment, the ICER was $54 per day in an apartment (undefined, $2,842) for HF with ACT, while HF with ICM remained dominant (undefined, $71). At up to $250 per day of stable housing, HF with ACT had a 40% chance of being cost-effective, vs 96% for HF with ICM. Conclusion. The updated literature review, like the previous one, suggests that over a 2-year horizon, HF leads to significant cost offsets that are usually less than but may equal the intervention cost. The results appear to vary according to context. The results of the cost-effectiveness analysis suggest that HF can be cost saving and remain more effective following a reduction of services at 43-48 months for MN participants. A greater proportion of HN participants may require continuance of HF for the intervention to remain cost-effective

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,040
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil0,058

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,040
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0040,007
Bibliométrie0,0060,006
Études des sciences et des technologies0,0000,001
Communication savante0,0030,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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 Opus0,068
Tête enseignante GPT0,463
Écart entre enseignants0,395 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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