Efficiency of Facial Expression Diagnostic System in Pain Assessment After Geriatric Surgery

Pain Clinical Trial

Official title: Efficiency of Facial Expression Diagnostic System in Pain Assessment After Geriatric Surgery

Status Recruiting

Clinical Trial Summary

By integrating the methods used in the assessment of pain in geriatric surgery patients with literature, theory and research, this study aims to: evaluate the effectiveness of the facial diagnosis system in the evaluation of pain after geriatric surgery.

The research hypotheses are as follows:

H1: In the evaluation of pain after geriatric surgery, there is a concordance between the pain score evaluated by the patient and the pain score obtained from facial expression diagnostic system analysis.

H1: In the evaluation of pain after geriatric surgery, there is a correlation between the pain score evaluated by the nurse and the pain score obtained from the analysis of the facial expression diagnosis system.

H1: In the evaluation of pain after geriatric surgery, there is a correlation between the pain score evaluated by the patient and the pain score evaluated by the nurse.

Clinical Trial Description

By integrating the methods used in the assessment of pain in geriatric surgery patients with literature, theory and research, this study aims to: evaluate the effectiveness of the facial diagnosis system in the evaluation of pain after geriatric surgery.

The number of patients in the groups will be analyzed based on one of the studies to be used in the study. According to the calculations made in the G-Power 3.1 Demo package program, when the effect size is accepted as 0.8, it was seen that at least 68 patients would be sufficient for 80% power. In this way, the criteria sampling method will be used. Anticipated duration is one year.

The inclusion criteria of the patients in the study are as follows:

• The patient is 65 years or older,

• According to the American Society of Anesthesiologists (ASA) classification; Being in class II and III; ASA II: Patient with mild systemic disease, ASA III: Patient with severe systemic disease but not affecting activities of daily living.

• Willingness to participate in the research,

• The patient is awake and oriented after the surgery,

• The patient is not discharged within the first 24 hours after the operation,

Data collecting:

1. An informed consent form will be obtained from patients over 65 years of age in the postoperative period who agreed to participate in the study.

2. Then, the Sociodemographic Data Collection Form created by the researcher will be filled. Sociodemographic form; patient's age, gender, presence of chronic disease, history of surgery, clinical diagnosis of the patient, the patient's surgery, anesthesia during the operation, the patient's ASA score, the nurse's age, the nurse's gender, the nurse's education level, the nurse's clinical experience, the severity of pain felt by the elderly adult patient.

3. After the surgery, when the patient comes to the service and 1 hour after coming to the service, the 3rd and later stages will be repeated. In other words, the patient's pain will be evaluated 2 times in total. The patient and nurse will then be asked to give patient a pain score. Two scales will be used in pain assessment. These are Wong Baker Faces Pain Scale and Numerical Rating Scale.Wong Baker Faces Pain Scale: It consists of 6 different facial expressions, starting with a smiling face and ending with a crying face. Numerical Rating Scale: Patients are asked to draw a number from 0 to 10, 0 to 20, or 0 to 100 that best fits pain intensity. Zero usually indicates "no pain", while the upper limit represents "unbearable pain".

4. And the patient's 30-second facial expression will be recorded with a video camera.

5. This video recording and the score given by the patient will be uploaded to the computer and the pain score.

6. The resulting value will be compared with the value given by the nurses. ;

Related Conditions & MeSH terms

• Aging Problems
• Pain

• NCT number: NCT05756140
• Study type: Observational [Patient Registry]
• Source: Zonguldak Bulent Ecevit University
• Contact: Tülin KURT ALKAN, Expert
• Phone: +905393711902
• Email: tulinkurt0@gmail.com
• Status: Recruiting
• Start date: October 1, 2022
• Completion date: June 30, 2024