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Record W7132949355

Increasing Understanding of Referrals from Healthcare Professionals to Community-Based Exercise Programs with Healthcare-Community Partnerships Designed for Older Adults with Balance and Mobility Limitations

2024· dissertation· W7132949355 on OpenAlexaff
Kyla Alsbury-Nealy

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsToronto Rehabilitation Institute
Fundersnot available
KeywordsReferralHealth careContext (archaeology)Health professionalsRehabilitationBalance problemsBalance (ability)
DOInot available

Abstract

fetched live from OpenAlex

Referrals from healthcare professionals to community-based exercise programs with healthcare-community partnerships (CBEP-HCPs) are important for program sustainability; however, they are inconsistent. Little is known about referrals to CBEP-HCPs, including the referral sources, promotional strategies used to facilitate referral, and the referral practice of healthcare partners (individuals who support programs by prescribing exercise, training and supporting the instructors, monitoring the program, and facilitating referrals). This thesis is comprised of three studies that aimed to: 1) identify the nature, range, and extent of models which guide the development of linkages between healthcare settings and community programs; 2) describe CBEP-HCP providers’ perceptions of the a) type and work setting of healthcare professionals who refer to CBEP-HCPs by community size; b) nature, frequency, and utility of strategies used to promote referral from healthcare professionals to CBEP-HCPs; and c) facilitators and barriers to CBEP-HCP promotion; and 3) explore how healthcare partners in CBEP-HCPs designed for people with balance and mobility limitations understand and enact referrals in the context of their role. Study 1 was a scoping review of healthcare-community linkage models with six models included. Results showed that models most commonly targeted primary care as the healthcare setting and intended users, while there was a paucity of models designed for ambulatory and rehabilitation settings. Almost all models outlined the linkage strategy of coordinating services and referral processes. Study 2 was an interviewer-administered survey of 23 CBEP-HCP providers of 27 programs. Findings revealed that the majority of programs received referrals from hospital-based physical therapists and the majority of healthcare partners were also physical therapists. Study 3 was a descriptive qualitative study employing semi-structured interviews of 12 healthcare partners in a CBEP-HCP. Findings demonstrated that healthcare partners described their role in referrals as secondary to their roles as educators and trainers. They commented that their role with referrals evolved wherein they provided less support as programs became well-established. Thesis findings advance knowledge about referrals by healthcare professionals to CBEP-HCPs. Future research should explore referrals by healthcare professionals other than physical therapists, identify healthcare partner competencies, develop ambulatory and rehabilitation linkage models, and develop interventions to increase referrals.

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)0.042
metaresearch head score (Gemma)0.130
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.130
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0020.002
Scholarly communication0.0060.014
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.442
GPT teacher head0.527
Teacher spread0.085 · 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 designObservational
Domainnot available
GenreEmpirical

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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