Developing a Core Stability Training Program for Patients Following Total Knee Arthroplasty, Informed by Self-efficacy Theory: A Delphi Method Study

Objective: To construct a CST program for patients after TKA. Materials and Methods: Based on the principles of SET and following evidence, this project was constructed using the qualitative method of literature analysis and the Delphi method. The Delphi panel consisted of fifteen experts from the fields of clinical medicine, rehabilitation medicine, and nursing. Results: Fifteen experts were consulted and the consultation response rate was 100%; the authority coefficient for the first round was 0.89, with coefficients of variation ranging from 0.00 to 0.24, and importance ratings ranging from (3.4±0.83) to (5±0); the authority coefficient for the second round was 0.91, with coefficients of variation ranging from 0.00 to 0.23, and importance ratings ranging from (4.0±0.93) to (5 ± 0); Kendall’s harmony coefficients were 0.235 and 0.245, respectively, with statistically significant differences (p < 0.05). The construction of SET-based CST program for post-TKA patients included 4 primary, 10 secondary and 15 tertiary indicators. Conclusion: The construction of SET-based CST program for postoperative TKA patients is scientific and feasible, with universal applicability, and can provide a reference basis for healthcare professionals to develop postoperative rehabilitation training for such patients.

Authors

Publication Details

Journal
Journal of Contemporary Medical Practice
Published
2025-09-27
DOI
https://doi.org/10.53469/jcmp.2025.07(09).40
Primary Topic
Delphi Technique in Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing a Core Stability Training Program for Patients Following Total Knee Arthroplasty, Informed by Self-efficacy Theory: A Delphi Method Study

Landao Zhou, Yu Zhang
Journal of Contemporary Medical Practice
Delphi Technique in Research
article

Developing a Core Stability Training Program for Patients Following Total Knee Arthroplasty, Informed by Self-efficacy Theory: A Delphi Method Study

Landao Zhou, Yu Zhang
article en

Abstract

Objective: To construct a CST program for patients after TKA. Materials and Methods: Based on the principles of SET and following evidence, this project was constructed using the qualitative method of literature analysis and the Delphi method. The Delphi panel consisted of fifteen experts from the fields of clinical medicine, rehabilitation medicine, and nursing. Results: Fifteen experts were consulted and the consultation response rate was 100%; the authority coefficient for the first round was 0.89, with coefficients of variation ranging from 0.00 to 0.24, and importance ratings ranging from (3.4±0.83) to (5±0); the authority coefficient for the second round was 0.91, with coefficients of variation ranging from 0.00 to 0.23, and importance ratings ranging from (4.0±0.93) to (5 ± 0); Kendall’s harmony coefficients were 0.235 and 0.245, respectively, with statistically significant differences (p < 0.05). The construction of SET-based CST program for post-TKA patients included 4 primary, 10 secondary and 15 tertiary indicators. Conclusion: The construction of SET-based CST program for postoperative TKA patients is scientific and feasible, with universal applicability, and can provide a reference basis for healthcare professionals to develop postoperative rehabilitation training for such patients.

Journal of Contemporary Medical PracticeVol. 7(9)
Openalex Percentile: Top 64%
Delphi Technique in Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.