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Record W4415156791 · doi:10.2196/preprints.69067

Understanding the Current and Future States of Behavioural Supports Ontario: Protocol for a Mixed Methods Pilot Study (Preprint)

2024· article· en· W4415156791 on OpenAlexaboutno aff
Jacobi Elliott, Bradley Hiebert, Danielle Domm

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsService delivery frameworkService (business)Focus groupProtocol (science)Service providerBest practiceProgram evaluationNeeds assessment

Abstract

fetched live from OpenAlex

BACKGROUND Behavioural Supports Ontario (BSO) was created in 2010 as a provincially defined and regionally implemented program in Ontario, Canada, to support older adults living with responsive behaviors in long-term care homes, hospitals, and at home, and to also support their family care partners. There are 14 different BSO regions in Ontario, each with its own service delivery model to provide (1) system coordination and management, (2) integrated service delivery, and (3) knowledgeable care teams and capacity building. In 2023, BSO teams across Ontario supported approximately 33,300 older adults with expressions of responsive behaviors, the majority of whom had dementia, and 20,100 family care partners. OBJECTIVE This study aimed to understand how BSO is currently affecting service providers and family care partners across all BSO care settings (ie long-term care, community, and acute care), and how BSO service delivery models can be modified to best meet the current needs of these target populations. This pilot study will be conducted in the western Ontario region, which comprises 4 different BSO regions; this will enable comparison between different BSO service delivery models to identify which service model elements may be best used to support BSO care providers, care recipients, and family care partners in the future. METHODS Following a 2-phase mixed methods sequential explanatory design, this study will invite BSO staff and leaders to complete an anonymous web-based survey, followed by focus groups and interviews to share their perspectives on BSO’s current functioning, areas of weakness, and opportunities for growth. Family care partners will also be invited to complete one-on-one interviews to share information about their experiences with BSO, areas of weakness, and opportunities for growth. RESULTS This study began in January 2024; data collection was completed in December 2024. Overall, 360 participants completed the anonymous survey; 51 staff and leaders and 11 family caregivers completed an interview or focus group. Data analysis is anticipated to be completed by September 2025 with results published by December 2025. Quantitative data will be analyzed using descriptive and inferential statistical techniques to identify similarities and differences in the perspectives of BSO staff and leaders across the 4 BSO regions. Qualitative data will be managed and analyzed through descriptive coding and thematic analysis to provide meaningful explanations of BSO staff, leaders, and family care partners’ experiences with the program. This study was approved by the Western University Health Sciences Research Ethics Board (124599). CONCLUSIONS The study findings will support improvements in BSO services across the western region of Ontario. The findings will also be leveraged to support the modernization of the program to better meet the needs of patients and family care partners who depend on the service each year, while also supporting the needs of service providers within the program. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/69067

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)0.040
metaresearch head score (Gemma)0.034
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 score0.985
Threshold uncertainty score0.299

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.034
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0040.004
Science and technology studies0.0080.002
Scholarly communication0.0040.003
Open science0.0040.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0890.016

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 head0.352
GPT teacher head0.546
Teacher spread0.194 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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