Factors Influencing Health Workers’ Acceptance of Guideline-Based Clinical Decision Support Systems for Preventive Services in Thailand: Questionnaire-Based Study
Issued Date
2025-01-01
Resource Type
eISSN
22929495
DOI
Scopus ID
2-s2.0-105018957530
Journal Title
Jmir Human Factors
Volume
12
Rights Holder(s)
SCOPUS
Bibliographic Citation
Jmir Human Factors Vol.12 (2025)
Suggested Citation
Sitasuwan T., Suriyaphol P., Lawpoolsri S., Soonthornworasiri N., Pan-Ngum W. Factors Influencing Health Workers’ Acceptance of Guideline-Based Clinical Decision Support Systems for Preventive Services in Thailand: Questionnaire-Based Study. Jmir Human Factors Vol.12 (2025). doi:10.2196/57314 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/112751
Title
Factors Influencing Health Workers’ Acceptance of Guideline-Based Clinical Decision Support Systems for Preventive Services in Thailand: Questionnaire-Based Study
Corresponding Author(s)
Other Contributor(s)
Abstract
Background: A guideline-based clinical decision support system (CDSS) is a knowledge-based system designed to collect crucial data from electronic medical records to generate decision-making based on system data requirements and inputs from standard guidelines. Despite the potential to enhance health care delivery, the adoption rate of CDSSs in clinical practice remains suboptimal. Objective: This study aimed to evaluate the determinants influencing the intention to use a new CDSS in preventive care within clinical practice. Methods: A single-center, questionnaire-based, cross-sectional study was conducted among physicians and medical students responsible for providing comprehensive preventive services at the Continuity of Care Clinic, Siriraj Hospital, Thailand. Results: In total, 89 participants were enrolled. Relationships between factors impacting the adoption of CDSSs were analyzed using correlation and regression analysis. We found that physicians’ intentions to adopt the CDSS for preventive care were high, with 79% (70/89) of participants expressing their intention to use the system. According to the study’s conceptual framework, modified from the original unified theory of acceptance and use of technology model, physicians’ positive attitudes toward CDSS use in preventive services and a high level of effort expectancy emerged as crucial factors influencing the intention to use the new CDSS. The odds ratios for these factors were 5.44 (95% CI 1.62‐18.34, P=.006) and 7.60 (95% CI 1.55‐31.37, P=.01), respectively. Similar results were observed for medical students and for physicians who had graduated. The most prevalent barriers to CDSS implementation were related to physicians’ attitudes, followed by issues such as the accuracy and burden of data input, time constraints for clinicians, and the risk of workflow disruption. Conclusions: There was a high intention to adopt the CDSS in preventive care. Positive physician attitudes toward CDSS use in preventive services and effort expectancy were found to be critical factors influencing the intention to use the new CDSS.