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An Investigation of the Effects of Preoperative Interdisciplinary Patient Education on Understanding Postoperative Expectations Following a Total Joint Arthroplasty

2008· article· en· W2042419924 on OpenAlexaff
Karen Thomas, Kristen A. Sethares

Bibliographic record

VenueOrthopaedic Nursing · 2008
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsJoint arthroplastyMedicinePhysical therapyArthroplastyJoint replacementSession (web analytics)Intervention (counseling)Total joint replacementSurgeryNursing

Abstract

fetched live from OpenAlex

This study aimed at evaluating the effect of a preoperative interdisciplinary educational intervention on understanding postoperative expectations following a total joint arthroplasty. The study sample consisted of 156 patients scheduled for elective total joint replacement surgery. The approach for this study was a two-group quasi-experimental design. The treatment group received an additional interdisciplinary educational session whereas the control group did not. Subjects who chose to attend the program were compared with those who received standard outpatient teaching in the preadmission testing center. Subjects who received the interdisciplinary teaching intervention were significantly better at verbalizing and demonstrating postoperative skills, and they rated all aspects of the interdisciplinary educational session as very satisfactory. The study demonstrated that the preoperative interdisciplinary educational program for patients scheduled for total joint replacement surgery had a positive effect on the understanding of postoperative expectations. The educational sessions have continued providing an option that will enhance preoperative education.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.028
GPT teacher head0.376
Teacher spread0.347 · 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.

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

Citations41
Published2008
Admission routes1
Has abstractyes

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