Article type
Abstract
"Background
After surgery, many patients experience pain, with 20-98% being affected. Currently, the main way to manage this pain is through drugs. However, the wide range of medication options can make it difficult for patients to choose. Therefore, our team established in 2022 The first version of a shared decision-making aid between doctors and patients regarding the use of medications for postoperative gynecological pain.
Objectives
The purpose of this study was to examine ""a decision-making aid for the use of medications for gynecological postoperative pain.""
Methods
Following the International Patient Decision Aid Standards (IPDAS) development process, 50 experts conducted an alpha test through a field survey. Subsequent modifications were made based on feedback before the system entered the clinical field. A beta test with 73 clinical medical staff and patients was then completed using the Effectiveness Evaluation Questionnaire from the Joint Commission of Taiwan, followed by descriptive statistical analysis.
Result
In the alpha test, the average score of clinical experts on the importance, correctness and appropriateness of this decision aid is greater than 4 points (1-5 points), indicating good validity. During the beta test, medical staff believed that patient decision aids could help patients make decisions with full understanding, and had reservations about improving the doctor-patient relationship; patients learned from shared decision-making aid that they could make decisions based on their own needs, reduce anxiety, but was less helpful in assisting patients to integrate their problems.
Conclusion
Decision aid developers adopt user-centered design principles when developing patient decision aid tools to translate evidence-based medicine into clinical decision-making. The content was easy to understand and help promote shared decision-making between doctors and patients. In the future, this gynecological patient pain control and medical-patient shared decision-making aid will be integrated into clinical services.
"
After surgery, many patients experience pain, with 20-98% being affected. Currently, the main way to manage this pain is through drugs. However, the wide range of medication options can make it difficult for patients to choose. Therefore, our team established in 2022 The first version of a shared decision-making aid between doctors and patients regarding the use of medications for postoperative gynecological pain.
Objectives
The purpose of this study was to examine ""a decision-making aid for the use of medications for gynecological postoperative pain.""
Methods
Following the International Patient Decision Aid Standards (IPDAS) development process, 50 experts conducted an alpha test through a field survey. Subsequent modifications were made based on feedback before the system entered the clinical field. A beta test with 73 clinical medical staff and patients was then completed using the Effectiveness Evaluation Questionnaire from the Joint Commission of Taiwan, followed by descriptive statistical analysis.
Result
In the alpha test, the average score of clinical experts on the importance, correctness and appropriateness of this decision aid is greater than 4 points (1-5 points), indicating good validity. During the beta test, medical staff believed that patient decision aids could help patients make decisions with full understanding, and had reservations about improving the doctor-patient relationship; patients learned from shared decision-making aid that they could make decisions based on their own needs, reduce anxiety, but was less helpful in assisting patients to integrate their problems.
Conclusion
Decision aid developers adopt user-centered design principles when developing patient decision aid tools to translate evidence-based medicine into clinical decision-making. The content was easy to understand and help promote shared decision-making between doctors and patients. In the future, this gynecological patient pain control and medical-patient shared decision-making aid will be integrated into clinical services.
"