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Supporting self‐care of patients following general abdominal surgery

2007· article· en· W1993518391 on OpenAlexaff
Bev Williams

Bibliographic record

VenueJournal of Clinical Nursing · 2007
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineHealth careHospital dischargeNursingTelephone interviewWound careFamily medicineMedical emergencyIntensive care medicine

Abstract

fetched live from OpenAlex

AIMS AND OBJECTIVES: To determine whether the information people receive following general abdominal surgery is sufficient for them to be able to care for themselves at home in the community. BACKGROUND: Health promotion is a consideration for individuals in all phases of health and illness but little is known about how best to promote health during hospitalization and in the transition from hospital to home in the community. METHODS: A self-report questionnaire was used at the point of discharge and a telephone interview was conducted following discharge to determine the adequacy of discharge information received. RESULTS: Patients who received information on pain and wound management, activity, nutrition and complications generally felt that it was sufficient at the point of discharge and still felt informed up to three weeks following discharge. Up to 50% of patients did not receive information or received inaccurate information. The majority of the patients who were given information about pain and wound management did not experience any concerns following discharge. However, many of the patients who did not receive information on pain and wound management experienced concerns that required them to make a non-routine visit to a health care facility after discharge. CONCLUSION: The findings emphasize the importance of nurses providing specific and accurate verbal and printed discharge information to all patients who have undergone abdominal surgery. RELEVANCE TO CLINICAL PRACTICE: Patients who receive accurate and relevant discharge information are less likely to access health care agencies following discharge. Practicing nurses need to ascertain patients' information needs and nurse educators need to ensure that discharge teaching and self-care are emphasized in undergraduate nursing curricula.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.415
Teacher spread0.385 · 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 designObservational
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

Citations30
Published2007
Admission routes1
Has abstractyes

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