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Record W4388676036 · doi:10.1177/23743735231213757

Transitional Care from Hospital to Cardiac Rehabilitation During COVID-19: The Perspectives of Older Adults and Their Healthcare Providers

2023· article· en· W4388676036 on OpenAlexaff
Cecilia Flores‐Sandoval, J. B. Orange, Bridget Ryan, Tracey L. Adams, Neville Suskin, Robert S. McKelvie, Jacobi Elliott, Shannon L. Sibbald

Bibliographic record

VenueJournal of Patient Experience · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsSt Joseph's Health CareLawson Health Research InstituteSt. Joseph's HospitalCentre for Family MedicineWestern University
Fundersnot available
KeywordsTransitional careRehabilitationHealth careQualitative researchExploratory researchJournaling file systemNursingPsychologyMedicinePandemicReflexivityCoronavirus disease 2019 (COVID-19)Physical therapyDisease

Abstract

fetched live from OpenAlex

Transitional care to cardiac rehabilitation during the pandemic was a complex process for older adults, with additional challenges for decision-making and participation. This study aimed to explore the perspectives of older adults and health providers on transitional care from the hospital to cardiac rehabilitation, focusing on patient participation in decision-making. A qualitative exploratory design was used. Semi-structured interviews were conducted with 15 older adults and 6 healthcare providers. Document analysis and reflexive journaling were used to support triangulation of findings. Six themes emerged from the data, related to insufficient follow-up from providers, the importance of patients' emotional and psychological health and the support provided by family members, the need for information tailored to patients' needs and spaces for participation in decision-making, as well as challenges during COVID-19, including delayed medical procedures, rushed discharge and isolating hospital stays. The findings of this study indicated a number of potential gaps in the provision of transitional care services as reported by older adults who had a cardiovascular event, often during the first few weeks post hospital discharge.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.245
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.008
GPT teacher head0.312
Teacher spread0.304 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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