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Record W4389676085 · doi:10.1186/s12877-023-04576-9

“I can’t imagine having to do it on your own”: a qualitative study on postoperative transitions in care from the perspectives of older adults with frailty

2023· article· en· W4389676085 on OpenAlexafffund
Emily Hladkowicz, Mohammad Auais, Gurlavine Kidd, Daniel I. McIsaac, Jordan Miller

Bibliographic record

VenueBMC Geriatrics · 2023
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsUniversity of OttawaOttawa HospitalQueen's University
FundersUniversity of Ottawa
KeywordsFeelingThematic analysisMedicineQualitative researchTransitional carePerspective (graphical)Focus groupIndependent livingGerontologyTelephone interviewRehabilitationHealth careNursingPsychologyPhysical therapySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Adults aged 65 and older have surgery more often than younger people and often live with frailty. The postoperative transition in care from hospital to home after surgey is a challenging time for older adults with frailty as they often experience negative outcomes. Improving postoperative transitions in care for older adults with frailty is a priority. However, little knowledge from the perspective of older adults with frailty is available to support meaningful improvements in postoperative transitions in care. OBJECTIVE: To explore what is important to older adults with frailty during a postoperative transition in care. METHODS: This qualitative study used an interpretive description methodology. Twelve adults aged ≥ 65 years with frailty (Clinical Frailty Scale score ≥ 4) who had an inpatient elective surgery and could speak in English participated in a telephone-based, semi-structured interview. Audio files were transcribed and analyzed using thematic analysis. RESULTS: Five themes were constructed: 1) valuing going home after surgery; 2) feeling empowered through knowledge and resources; 3) focusing on medical and functional recovery; 4) informal caregivers and family members play multiple integral roles; and 5) feeling supported by healthcare providers through continuity of care. Each theme had 3 sub-themes. CONCLUSION: Future programs should focus on supporting patients to return home by empowering patients with resources and clear communication, ensuring continuity of care, creating access to homecare and virtual support, focusing on functional and medical recovery, and recognizing the invaluable role of informal caregivers.

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)0.001
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 score0.270
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.036
GPT teacher head0.349
Teacher spread0.313 · 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

Citations19
Published2023
Admission routes2
Has abstractyes

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