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Record W2913943177 · doi:10.1080/09638288.2019.1570357

Fitness coordinators’ and fitness instructors’ perspectives on implementing a task-oriented community exercise program within a healthcare-recreation partnership for people with balance and mobility limitations: a qualitative study

2019· article· en· W2913943177 on OpenAlexafffund
Olivia Skrastins, Stephanie Tsotsos, Hammad Aqeel, Anthony Qiang, Jessica Renton, Jo-Anne Howe, Alda Tee, Jason Moller, Nancy M. Salbach

Bibliographic record

VenueDisability and Rehabilitation · 2019
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsFraser HealthRoyal Victoria Regional Health CentreUniversity Health NetworkToronto Rehabilitation InstituteUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsRecreationGeneral partnershipThematic analysisHealth careContext (archaeology)Medical educationPsychologyQualitative researchApplied psychologyNursingMedicineBusinessSociologyPolitical science

Abstract

fetched live from OpenAlex

Background: Healthcare organizations are partnering with recreation organizations to support the delivery of community-based exercise programs for people with balance and mobility limitations. The value and impact of support strategies provided by healthcare organizations, however, have not been examined.Objective: Study objectives were to explore fitness coordinators’ and fitness instructors’ experiences with implementing a task-oriented community-based exercise program for people with balance and mobility limitations within the context of a healthcare-recreation partnership.Methods: A qualitative descriptive study was conducted. Fitness coordinators and instructors involved with delivering a licensed, group, task-oriented community-based exercise program for people with balance and mobility limitations supported by a healthcare-recreation partnership were interviewed by telephone. Interviews were audio-recorded and transcribed verbatim. A thematic analysis was performed.Results: Eight fitness coordinators and 8 fitness instructors from 14 recreation centres were interviewed. Findings showed that healthcare-recreation partnerships help to optimize exercise program quality and safety through multiple strategies. Fitness coordinators and instructors still face challenges with program implementation at start-up and over time. Recommendations to address these challenges included increased training content related to adjusting exercises to accommodate participant abilities, 1–2 visits from a healthcare professional each program after initial program implementation, suggestions to increase exercise variety, and ongoing education.Conclusions: Findings clarify the role of healthcare organizations, ongoing challenges, and directions for improvement in this program delivery model.Implications for rehabilitationCommunity recreation centres can provide task-oriented exercise programs to help people with balance and mobility limitations safely engage in regular exerciseHealthcare organizations should provide specific supports to help increase the safety and quality of task-oriented exercise programs in recreation centresSupports include providing clear exercise guidelines, and a healthcare professional who trains fitness instructors, visits the program, answers questions between visits, promotes collaboration and information exchange between recreation centres, and provides ongoing education

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)0.022
metaresearch head score (Gemma)0.026
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.026
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.006
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.410
Teacher spread0.366 · 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
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

Citations17
Published2019
Admission routes2
Has abstractyes

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