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Telenursing and patients’ recovery from bypass surgery

2005· article· en· W1981449407 on OpenAlexafffund
Kathleen Hartford

Bibliographic record

VenueJournal of Advanced Nursing · 2005
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsLawson Health Research InstituteWestern University
FundersLondon Health Sciences Centre
KeywordsMedicineRandomized controlled trialAnxietyIntervention (counseling)Physical therapyQualitative researchNursingBypass surgeryPsychiatrySurgery

Abstract

fetched live from OpenAlex

AIM: This paper reports the qualitative findings of qualitative interviews conducted as part of a study assessing the effectiveness of structured, postdischarge, telephone intervention for patients and their partners recovering from bypass surgery. The data reported here describe the postoperative recovery experiences of a small sample of patients (n = 10) and the intervention role of the specialist nurse delivering the intervention. BACKGROUND: Reduced length of hospital stay for bypass patients means that there are fewer opportunities to provide necessary information and respond to patient concerns in hospital, and much of the process of wound healing and regaining functioning that would once have taken place in hospital now takes place at home and place additional burdens on patients and their caregivers. METHOD: The study was a randomized controlled trial of a telephone intervention aimed at reducing anxiety for patients experiencing a first bypass, and for their caregivers. The intervention consisted of a series of protocols delivered by a nurse with cardiac experience. It was conducted via telephone at discharge and on days 1, 2, 4, 7 and weeks 2 and 7 postdischarge. In the qualitative component of the study, a purposive sample of telephone calls in the treatment group was analysed and data saturation was achieved with 10 transcripts. FINDINGS: Three major patient concerns emerged: physical, affective and lifestyle changes. Anxiety about speed of discharge was a common concern at discharge and at day 1. Otherwise, physical concerns predominated during the first week. At day 7 and after, a shift began to occur to longer term, future-oriented concerns. By week 7, most patients were planning for return to normal activities, and several were making lifestyle changes. The specialist nurse was able to give personalized health promotion information at a time that was appropriate for individual patients. CONCLUSION: Using a qualitative interview method made it possible to understand patients' concerns and study the working of telenursing interventions in terms of providing timely reassurance and health promotion. Further research is needed to test the generalizability of the findings.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score0.380

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 head0.014
GPT teacher head0.319
Teacher spread0.305 · 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 designOther design
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

Citations45
Published2005
Admission routes2
Has abstractyes

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