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A randomized, controlled trial of interactive, multimedia software for patient colonoscopy education
M J Shaw1, T J Beebe, P A Tomshine
1Health Research Center, Park Nicollet Clinic, HealthSystem, St. Louis Park, Minnesota, USA. shawmj@hsmnet.com
Journal of Clinical Gastroenterology
|February 24, 2001
Summary
Computer-assisted instruction (CAI) for colonoscopy improved patient comprehension and satisfaction with information adequacy. CAI did not affect anxiety levels but enhanced overall understanding of the procedure.
Area of Science:
- Medical Education
- Gastroenterology
- Health Informatics
Background:
- Patient education is crucial for colonoscopy preparation and outcomes.
- Traditional methods may have limitations in ensuring comprehensive understanding.
- Computer-assisted instruction (CAI) offers a potential enhancement to standard educational approaches.
Purpose of the Study:
- To evaluate the effectiveness of CAI compared to standard education for patients undergoing colonoscopies.
- To assess the impact of CAI on patient anxiety, comprehension, and satisfaction.
Main Methods:
- A randomized controlled trial was conducted in a multispecialty clinic.
- Eighty-six patients were allocated to either standard education or standard education plus CAI.
- Outcomes measured included anxiety, comprehension of procedure details, and satisfaction with information provided.
Main Results:
- CAI did not significantly reduce patient anxiety.
- Patients receiving CAI demonstrated significantly better overall comprehension (p < 0.001).
- Satisfaction with the amount of information was higher in the CAI group (p = 0.001), though overall satisfaction was unaffected.
Conclusions:
- Computer-assisted instruction enhances patient comprehension and satisfaction with information adequacy for colonoscopy.
- CAI can be integrated into practice to improve patient education without negatively impacting the patient-physician relationship.
- Targeted educational components, such as serious complications and postsedation behavior, require further optimization within CAI modules.