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Record W4391215635 · doi:10.1371/journal.pone.0291228

Accessible independent housing for people with disabilities: A scoping review of promising practices, policies and interventions

2024· review· en· W4391215635 on OpenAlexafffund
Sally Lindsay, Kristina Fuentes, Sharmigaa Ragunathan, Yiyan Li, Timothy Ross

Bibliographic record

VenuePLoS ONE · 2024
Typereview
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalToronto Rehabilitation InstituteUniversity of Toronto
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of CanadaUniversity of Toronto
KeywordsPsychological interventionSubsidyIncentiveBusinessIndependent livingAffordable housingInclusion (mineral)Public housingPublic economicsPublic relationsMedicineGerontologyEconomic growthPsychologyPolitical scienceNursingEconomics

Abstract

fetched live from OpenAlex

BACKGROUND: Accessible housing is imperative to enabling independent living for many people with disabilities; yet, research consistently shows how people with disabilities often lack appropriate accessible housing and are more likely to experience unaffordable, insecure, and/or poor quality housing. Therefore, the aim of this study was to understand promising practices, policies and interventions regarding accessible independent housing for people with disabilities. METHODS: We conducted a scoping review that involved searching seven international literature databases that identified 4831 studies, 60 of which met our inclusion criteria. RESULTS: The reviewed studies involved 18 countries over a 20-year period. Our review highlighted the following key trends: (1) removing barriers to obtaining accessible housing (e.g., advocacy, builders enhancing housing supply, subsidies and financial incentives); (2) policies influencing accessible housing; (3) interventions to enhance accessible housing (i.e., home modifications, smart homes, mobile applications and other experimental devices); and (4) the impact of accessible independent housing on health and wellbeing. CONCLUSIONS: Our findings emphasize the importance of accessible housing for people with disabilities and the urgent need to advance accessible housing options.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.776

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.513
GPT teacher head0.572
Teacher spread0.059 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations29
Published2024
Admission routes2
Has abstractyes

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