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Record W3030173703 · doi:10.2196/18248

Individualized Apartment Accommodation for People With Intellectual Disability: Protocol for a Qualitative Study Examining the Well-Being and Support Outcomes Linking Housing and Health

2020· article· en· W3030173703 on OpenAlexvenueno aff
Phillippa Carnemolla

Bibliographic record

VenueJMIR Research Protocols · 2020
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual disabilityAutonomyAccommodationApartmentQualitative researchPsychologyQualitative propertyAging in placeQuality of life (healthcare)Independent livingNursingGerontologyMedical educationPublic relationsMedicineSociologyEngineeringPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Understanding the outcomes associated with both receiving and providing support to people with intellectual disability in specific settings can facilitate the alignment of health providers, community care providers, architects, and urban planners to strengthen levels of autonomy and community participation of people with intellectual disability living in the community. This study explores the impact of providing support (available 24 hours a day) for people with intellectual disability in a high-density apartment. It seeks the perspectives of people with intellectual disability who have moved into an apartment from a group home (where 4-6 people with disability live), their families, and support staff. It will enable comparison between two models of supported accommodation, group homes and individualized apartments, in a community setting. OBJECTIVE: The aims of this study are to explore the impact of an individualized apartment model of supported accommodation in a high-density setting on the well-being, autonomy, and participation of people with intellectual disability living and receiving support; the experience of providing care or support; and how this setting impacts the logistics of how quality support is provided. METHODS: Qualitative research methods were employed as the primary means of collecting and analyzing data. There are two main sources of data in this study: (1) semistructured interviews with participants in up to 3 waves (pre, post 1, and post 2) and (2) pre- and postoccupancy evaluation data on the design, layout, and location details of the built environments. Coded interview data will be paired with pre- and postoccupancy evaluations of the two accommodation settings. RESULTS: As of May 2020, we have recruited 55 participants. There have been 96 interviews conducted in 2 waves with people who have moved into supported accommodation, families, and staff. Collected data are currently being analyzed. We expect the results of the trial to be published in a peer-reviewed journal in late 2020. CONCLUSIONS: This paper sets out a study of an alternative housing and support model for people with intellectual disability. It will capture personal experiences of people with intellectual disability receiving support in an apartment compared to their experiences in a group home. It will also capture the experiences of support staff working in the new setting and reveal how this differs from a group home setting. The inclusion of pre (group home) and post (apartment integrated into a community setting) measures addresses evaluative and comparative questions around the nature and impacts of the small-scale apartment and support model for both those who live and receive support, and those who support them. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/18248.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.070
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.070
Threshold uncertainty score0.371

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0700.046
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0040.004
Science and technology studies0.0070.004
Scholarly communication0.0030.004
Open science0.0050.005
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0420.007

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 head0.510
GPT teacher head0.613
Teacher spread0.103 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreProtocol

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

Citations4
Published2020
Admission routes1
Has abstractyes

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