Evidence map›Paper›PMID 39663619›Full record

ArticleJournal of Korean Academy of Nursing2024

[The Effects of a Self-Efficacy Theory-Based Exercise Program for Patients Undergoing with Total Knee Arthroplasty].

Kyung-Hye Park, Hee-Young Kang

Abstract readControlled Clinical TrialEnglish Abstract
PubMed Publisher
In one paragraph

Article in Journal of Korean Academy of Nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kyung-Hye ParkDepartment of Nursing, Chonnam National University Bitgoel Hospital, Gwangju, Korea.ORCID https://orcid.org/0009-0000-6106-1227
Hee-Young KangDepartment of Nursing, Chosun University, Gwangju, Korea. moohykang@naver.com.ORCID https://orcid.org/0000-0002-0033-2780

Funding

CSP VA
6 · The paper itself

Abstract

purposeThis study was performed to develop a self-efficacy theory-based exercise program for total knee arthroplasty (TKA) and to test the program's efficacy in ameliorating knee pain and restoring function as measured by lower extremity muscle strength, 3 meter walking time, Korean Western Ontario McMaster Index (WOMAC), exercise self-efficacy, and length of hospital stay for TKA patients.

methodsThis quasi-experimental study incorporating a non-equivalent control group and pretest-posttest non-synchronized design non-synchronous design was applied to assess self-efficacy reinforcement strategies based on self-efficacy theory. The exercise program consisted of the following steps: TKA, education to prevent postoperative complications, and muscle strength exercises. Respective exercise and control groups included 29 and 27 participants. The experimental group received eight sessions of the program from three weeks before TKA to four weeks after TKA. Collected data were analyzed using the chi-square test, Mann-Whitney U test, and ranked ANCOVA and t-tests using IBM SPSS Statistics 23.

resultsExperimental group showed significant improvement in lower extremity muscle strength (F = 8.63,

conclusionThese findings indicate that a self-efficacy theory-based exercise program can be an effective exercise strategy that patients undergoing TKA can easily follow at home without assistance. It is thus recommended as an exercise intervention for TKA patients.

Indexed as

Arthroplasty, Replacement, KneeExercise TherapyMuscle StrengthProgram EvaluationSelf EfficacyAgedFemaleHumansKnee JointLength of StayMaleMiddle AgedProgram DevelopmentWalkingArthroplasty, Replacement, KneeExercisePatientsPerioperative CareSelf Efficacy

Identifiers

PMID39663619

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.