AI-Assisted Patient Education Before Suturing in Minor Trauma
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorGazi University
About this trial
Patients scheduled to undergo suturing for minor trauma in the emergency department frequently experience anticipatory pain and anxiety before the procedure. These experiences may negatively affect perceived pain, cooperation with treatment, adherence, satisfaction, and the overall care experience. However, the realities of emergency department practice, including crowding, high patient volume, staff shortages, and increased workload, may limit effective nurse-patient communication and comprehensive patient education.
Patients awaiting suturing for minor trauma often experience uncertainty, prolonged waiting, fear of the procedure, and concern about pain. These factors may increase anxiety, which can further intensify pain perception and negatively influence patients' cooperation with treatment and satisfaction with care. Previous reports indicate that many patients waiting in emergency departments seek information about waiting times, care processes, and their medical conditions, highlighting a substantial need for accessible and reliable information.
During this waiting period, patients may increasingly use artificial intelligence-based digital resources to obtain information about their health condition and the procedure they are about to undergo. However, information generated by artificial intelligence may be inaccurate, incomplete, or insufficiently tailored to the clinical context. Therefore, such information should be reviewed and validated by healthcare professionals before being provided to patients.
This study aims to evaluate the effect of an artificial intelligence-assisted patient education material delivered during the pre-suturing waiting period on pain and anxiety levels among patients with minor trauma in the emergency department. It is also expected that the educational material developed within the scope of this study may contribute to patient education and supportive care in emergency department settings.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patients with minor trauma requiring suturing, including superficial lacerations of the hand, arm, foot, leg, head, or face
Patients who provide written informed consent to participate in the study
Patients aged 18 years or older
Patients who are able to read and write
Disqualifiers
Patients requiring emergency surgical intervention, such as those with traumatic amputation or lacerations requiring urgent operative management
Patients with communication barriers that prevent participation in the study
Patients who are unable to read and write
Trial design
Design model
Parallel
Treatments tested in this trial
AI-Assisted Pre-Suturing Patient Education
BehavioralThe intervention consists of an AI-assisted patient education material provided to patients with minor trauma during the waiting period before suturing in the emergency department. The educational content includes information about the purpose and steps of the suturing procedure, what patients may experience during the procedure, pain-related expectations, and measures intended to reduce uncertainty and anxiety before suturing. The educational material is developed with the assistance of artificial intelligence. All AI-assisted content is reviewed, clinically evaluated, and validated by healthcare professionals before being presented to participants to ensure accuracy, appropriateness, and consistency with clinical practice. Participants receive the educational intervention in addition to routine emergency department care before the suturing procedure.
Treatment groups
96 Participants
are divided into 2 treatment groupsGroup A: AI-Assisted Pre-Suturing Patient EducationExperimental treatment 1 intervention
Group B: Standard CareNo intervention 0 interventions
Trial outcomes
Primary outcomes
1
Change in State Anxiety Level Assessed Using the State-Trait Anxiety Inventory Form TX-1 (STAI Form TX-1)
State anxiety will be assessed using the State-Trait Anxiety Inventory Form TX-1 (STAI Form TX-1). The scale evaluates the participant's current level of anxiety. Total scores range from 20 to 80, with higher scores indicating greater state anxiety.
Time frame
Baseline before allocation disclosure (T0), pre-suturing after the intervention or usual-care period (T1), and immediately after completion of the suturing procedure (T2)2
Change in Pain Intensity Assessed Using the Visual Analog Scale (VAS)
Pain intensity will be assessed using the Visual Analog Scale (VAS). Participants will indicate the intensity of their current pain on the scale, with higher scores indicating greater pain intensity.
Time frame
Baseline before allocation disclosure (T0), pre-suturing after the intervention or usual-care period (T1), and immediately after completion of the suturing procedure (T2)3
Change in Pain Assessed Using the Short-Form McGill Pain Questionnaire
Pain will also be assessed using the Short-Form McGill Pain Questionnaire (SF-MPQ), which evaluates multiple dimensions of the pain experience, including sensory and affective characteristics. Higher scores indicate greater pain severity.
Time frame
Baseline before allocation disclosure (T0), pre-suturing after the intervention or usual-care period (T1), and immediately after completion of the suturing procedure (T2)Sponsors and contacts
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Source ClinicalTrials.gov