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Record W2885316147 · doi:10.1186/s12882-018-0984-4

Fit for Dialysis: a qualitative exploration of the impact of a research-based film for the promotion of exercise in hemodialysis

2018· article· en· W2885316147 on OpenAlexafffund
Pia Kontos, Alisa Grigorovich, Romeo Colobong, Karen-Lee Miller, Gihad Nesrallah, Malcolm A. Binns, Shabbir M.H. Alibhai, Trisha Parsons, Sarbjit V. Jassal, Alison Thomas, Gary Naglie

Bibliographic record

VenueBMC Nephrology · 2018
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsSt. Michael's HospitalInstitute for Work & HealthCanada Research ChairsBaycrest HospitalUniversity of New BrunswickUniversity Health NetworkUniversity of TorontoPublic Health OntarioToronto Rehabilitation InstituteQueen's UniversityHumber River Regional Hospital
FundersCanadian Institutes of Health ResearchToronto Rehabilitation InstituteOntario Ministry of Health and Long-Term CareUniversity Health Network
KeywordsMedicineThematic analysisQualitative researchDialysisHemodialysisPromotion (chess)NursingPopulationHealth careQuality of life (healthcare)Health promotionFamily medicinePublic healthPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Exercise improves functional outcomes and quality of life of older patients with end-stage renal disease undergoing hemodialysis. Yet exercise is not promoted as part of routine care. Health care providers and family carers rarely provide encouragement for patients to exercise, and the majority of older patients remain largely inactive. There is thus the need for a shift in the culture of hemodialysis care towards the promotion of exercise for wellness, including expectations of exercise participation by older patients, and encouragement by health care providers and family carers. Film-based educational initiatives hold promise to effect cultures of best practice, but have yet to be utilized in this population. METHODS: We developed a research-based film, Fit for Dialysis, to promote exercise for wellness in hemodialysis care. Using a qualitative approach, we evaluated the effects that resulted from engagement with this film (e.g. knowledge/attitudes regarding the importance of exercise-based principles of wellness) as well as the generative mechanisms of these effects (e.g. realism, aesthetics). We also explored the factors related to patients, family carers, and health care providers that influenced engagement with the film, and the successful uptake of the key messages of Fit for Dialysis. We conducted qualitative interviews with 10 patients, 10 health care providers, and 10 family carers. Data were analyzed using thematic analysis. RESULTS: The film was perceived to be effective in increasing patients', family carers' and health care providers' understanding of the importance of exercise and its benefits, motivating patients to exercise, and in increasing encouragement by family carers and health care providers of patient exercise. Realism (e.g. character identification) and aesthetic qualities of the film (e.g. dialogue) were identified as central generative mechanisms. CONCLUSIONS: Fit for Dialysis is well-positioned to optimize the health and wellbeing of older adults undergoing hemodialysis. TRIAL REGISTRATION: NCT02754271 ( ClinicalTrials.gov ), retroactively registered on April 21, 2016.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.176
GPT teacher head0.450
Teacher spread0.274 · 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 designSimulation or modeling
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

Citations11
Published2018
Admission routes2
Has abstractyes

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