Efficiency of Facial Expression Diagnostic System in Pain Assessment After Geriatric Surgery
NCT ID: NCT05756140
Last Updated: 2024-01-23
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
68 participants
OBSERVATIONAL
2022-10-01
2024-06-30
Brief Summary
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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.
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Detailed Description
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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.
Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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Patients Group
Geriatric patients in the postoperative period hospitalized in surgical wards
No intervention
No Control
Interventions
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No intervention
No Control
Eligibility Criteria
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Inclusion Criteria
* 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,
Exclusion Criteria
* The presence of any facial anomalies that may change the facial expression analysis of the patient,
* The patient's regular use of opiates in the last 6 months,
* The patient has undergone surgical intervention that requires not being in the prone or semifowler position,
* The patient is not awake and oriented after the surgery,
* Discharge of the patient within the first 24 hours after surgery.
65 Years
ALL
Yes
Sponsors
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Zonguldak Bulent Ecevit University
OTHER
Responsible Party
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Tülin KURT ALKAN
Doctoral Candidate in Surgical Nursing Science
Principal Investigators
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Tülin KURT ALKAN, Expert
Role: PRINCIPAL_INVESTIGATOR
https://zonguldakataturkdh.saglik.gov.tr/?_Dil=1
Locations
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Zonguldak Ataturk State Hospital
Zonguldak, Centre, Turkey (Türkiye)
Countries
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Central Contacts
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Facility Contacts
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Hasan TOSUN
Role: primary
References
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Kurt Alkan T, Tasdemir N. Testing Machine Learning-Based Pain Assessment for Postoperative Geriatric Patients. Comput Inform Nurs. 2025 Jan 6. doi: 10.1097/CIN.0000000000001248. Online ahead of print.
Other Identifiers
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2022-16-09
Identifier Type: -
Identifier Source: org_study_id
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