A review of randomized controlled trials of medical record powered clinical decision support system to improve quality of diabetes care. (March 2016)

• Record Type: Journal Article
• Authors: Ali, Syed Mustafa; Giordano, Richard; Lakhani, Saima; Walker, Dawn Marie
• Is Part Of: International journal of medical informatics. Volume 87(2016:Mar.)
• Page Start: 91
• Page End: 100
• Publication Date: 2016-03
• Subjects: Clinical decision support system -- Electronic medical record -- Electronic health record -- Quality of diabetescare -- Clinical performance in diabetes care -- Diabetes patient outcome; Medical informatics -- Periodicals; Information science -- Periodicals; Computers -- Periodicals; Medical technology -- Periodicals; Medical Informatics -- Periodicals; Technology, Medical -- Periodicals; Computers; Information science; Medical informatics; Medical technology; Electronic journals; Periodicals; Electronic journals; 610.285
• DOI: 10.1016/j.ijmedinf.2015.12.017
• Languages: English
• ISSNs: 1386-5056

Abstract

Highlights: Clinical decision support system has potential to improve quality of diabetes care. Gradual technology adoption should be given careful attention. Study design should be given careful consideration which will add value to evidence generated. Abstract: Background: A gap between current diabetes care practice and recommended diabetes care standards has consistently been reported in the literature. Many IT-based interventions have been developed to improve adherence to the quality of care standards for chronic illness like diabetes. Objective: The widespread implementation of electronic medical/health records has catalyzed clinical decision support systems (CDSS) which may improve the quality of diabetes care. Therefore, the objective of the review is to evaluate the effectiveness of CDSS in improving quality of type II diabetes care. Moreover, the review aims to highlight the key indicators of quality improvement to assist policy makers in development of future diabetes care policies through the integration of information technology and system. Selection of study: Setting inclusion criteria, a systematic literature search was conducted using Medline, Web of Science and Science Direct. Critical Appraisal Skills Programme (CASP) tools were used to evaluate the quality of studies. Eight randomized controlled trials (RCTs) were selected for the review. In the selected studies, seventeen clinical markers of diabetes care were discussed. Three quality of care indicators were given more importance in monitoring the progress of diabetes care, which is consistent with National Institute for Health and Care Excellence (NICE) guidelines. The presence of these indicators in the studies helped to determine which studies were selected for review. Clinical- and process-related improvements are compared between intervention group using CDSS and control group with usual care. Glycated hemoglobin (HbA1c), low density lipid cholesterol (LDL-C) and blood pressure (BP) were the quality of care indicators studied at the levels of process of care and clinical outcome. Findings: The review has found both inconsistent and variable results for quality of diabetes care measures. A significant improvement has been found in the process of care for all three measures of quality of diabetes care. However, weak to modest positive results are observed for the clinical measures of the diabetes care indicators. In addition to this, technology adoption of CDSS is found to be consistently low. Conclusion: The review suggests the need to conduct further empirical research using the critical diabetes care indicators (HbA1c, LDL-C and BP) to ascertain if CDSS improves the quality of diabetes care. Research designs should be improved, especially with regard to baseline characteristics, sample size and study period. With respect to implementation of CDSS, rather than a sudden change of clinical work practice, there should instead be an incremental, gradual adoption of technology that minimizes the disruption in clinical workflow.