AI Article Synopsis
- The study aimed to evaluate how computer-based patient decision aids (PDAs) help patients with chronic diseases by analyzing their composition and effectiveness.
- A systematic review involving randomized controlled trials (RCTs) was conducted, with 22 studies included that showed PDAs positively impacted decision conflict and knowledge, but not other factors like decision regret or quality of life.
- Despite low evidence quality, the findings suggest that PDAs can enhance shared decision-making in healthcare, highlighting the need for further research to strengthen these conclusions.
Article Abstract
Aims: To synthesise the composition and effectiveness of computer-based patient decision aid (PDAs) in interventions for patients with chronic diseases.
Design: A systematic review with meta-analysis.
Methods: Five databases were searched, and only randomised controlled trials (RCTs)were included. This review was conducted with the PRISMA guidelines. The JBI Appraisal Tools for randomised trials were used to assess the risk of bias. We used the random-effects model to conduct meta-analyses. Evidence from RCTs was synthesised using standardised mean differences or mean differences. The GRADE system was employed to assess the certainty of evidence and recommendations. This study was registered on PROSPERO (number: CRD42022369340).
Data Sources: PubMed, Embase, Web of Science, CINAHL and Cochrane Library were searched for studies published before October 2022.
Results: The review included 22 studies, and most computer-based PDAs reported information on the disease, treatment options, pros and cons and risk comparison and value clarification. The use of computer-based PDAs showed a significant effect on decision conflict and knowledge, but not on decision regret, satisfaction, self-efficacy, anxiety and quality of life. The overall GRADE certainty of evidence was low.
Conclusion: Although the quality of evidence was low, however, using computer-based PDAs could reduce decision conflict and enhance knowledge when making medical decisions. More research is needed to support the contention above.
Relevance To Clinical Practice: Computer-based PDAs could assist health-care providers and patients in the shared decision-making process and improving the quality of decision-making.
Reporting Method: This study adhered to PRISMA guidelines. NO PATIENT OR PUBLIC CONTRIBUTION.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/jocn.17095 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Effectiveness of computerised decision aids for patients with chronic diseases in shared decision-making: A systematic review and meta-analysis.
J Clin Nurs
July 2024
School of Nursing, China Medical University, Taichung, Taiwan.
Article Synopsis
- The study aimed to evaluate how computer-based patient decision aids (PDAs) help patients with chronic diseases by analyzing their composition and effectiveness.
- A systematic review involving randomized controlled trials (RCTs) was conducted, with 22 studies included that showed PDAs positively impacted decision conflict and knowledge, but not other factors like decision regret or quality of life.
- Despite low evidence quality, the findings suggest that PDAs can enhance shared decision-making in healthcare, highlighting the need for further research to strengthen these conclusions.
Educational technology integration and distance learning in respiratory care: practices and attitudes.
Respir Care
November 2007
Information Design and Communication Program, Southern Polytechnic State University, 1100 S Marietta Parkway, Marietta, GA 30060, USA.
Introduction: Educational technologies have had an important role in respiratory care. Distance learning via postal correspondence has been used extensively in respiratory care, and Internet-based distance learning is now used in the training of respiratory therapists (RTs), clinical continuing education, and in baccalaureate degree and higher programs for RTs and educators.
Objectives: To describe the current scope of respiratory care educational technology integration, including distance learning.
A computer-based medical record system and personal digital assistants to assess and follow patients with respiratory tract infections visiting a rural Kenyan health centre.
BMC Med Inform Decis Mak
April 2006
Moi University Faculty of Health Sciences, Eldoret, Kenya.
Background: Clinical research can be facilitated by the use of informatics tools. We used an existing electronic medical record (EMR) system and personal data assistants (PDAs) to assess the characteristics and outcomes of patients with acute respiratory illnesses (ARIs) visiting a Kenyan rural health center.
Methods: We modified the existing EMR to include details on patients with ARIs.
This report presents the results of a pilot project using wireless PDAs as teaching tools in an undergraduate medical curriculum. This technology was used to foster a transition from a passive to an interactive learning environment in the classroom and provided a solution for the implementation of computer-based exams for a large class. Wayne State Medical School recently provided model e570 Toshiba PocketPCs® (personal digital assistants or PDAs), network interface cards, and application software developed by CampusMobility® to 20 sophomore medical students.
View Article and Find Full Text PDFUsing a decade of data on medical student computer literacy for strategic planning.
J Med Libr Assoc
April 2002
Computer Based Instruction Lab, Office of Faculty and Instructional Development, School of Medicine, Medical College of Virginia, Virginia Commonwealth University Richmond 23298, USA.
Purpose: From 1991 through 2000, incoming medical students (M-Is) at the School of Medicine at Virginia Commonwealth University have been surveyed with a written questionnaire on their computer literacy. The survey's purpose is to learn the students' levels of knowledge, skill, and experience with computer technology to guide instructional services and facilities.
Methodology: The questionnaire was administered during M-I orientation or mailed to students' homes after matriculation.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!