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Randomized Controlled Trial
. 2019 Apr/Jun;42(2):105-115.
doi: 10.1097/JAC.0000000000000267.

Using Electronic Clinical Decision Support in Patient-Centered Medical Homes to Improve Management of Diabetes in Primary Care: The DECIDE Study

Affiliations
Randomized Controlled Trial

Using Electronic Clinical Decision Support in Patient-Centered Medical Homes to Improve Management of Diabetes in Primary Care: The DECIDE Study

James Gill et al. J Ambul Care Manage. 2019 Apr/Jun.

Abstract

This prospective, randomized, real-world study aimed to examine the impact of electronic health record-based clinical decision support (CDS) tools on the management of diabetes in small- to medium-sized primary care practices participating in Delaware's patient-centered medical home project. Overall, use of CDS systems was associated with greater reductions from baseline in hemoglobin A1c and low-density lipoprotein cholesterol, and more patients achieving treatment goals. Physicians and staff reported that the CDS toolkit empowered them to be more involved in clinical decision-making, thereby helping to improve diabetes care. However, all cited significant barriers to fully implementing team-based CDS, predominantly involving time and reimbursement.

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Figures

Figure 1.
Figure 1.
Crimson Care Registry: sample patient encounter form. A1C indicates glycated hemoglobin A1c; BMI, body mass index; BP, blood pressure; LDL, low-density lipoprotein; NIDDM, non-insulin-dependent diabetes mellitus (type 2 diabetes); PCP, primary care provider.
Figure 2.
Figure 2.
Adjusted changes from baseline to 1-year follow-up in A1C (A) and LDL-C (B) in the A1C and LDL-C subgroups, respectively. A1C indicates glycated hemoglobin A1c; CDS, clinical decision support; LDL-C, low-density lipoprotein cholesterol.
Figure 3.
Figure 3.
Odds of achieving A1C and LDL-C goals after 1 year of CDS versus control (in the A1C and LDL-C subgroups, respectively). A1C indicates glycated hemoglobin A1c; CDS, clinical decision support; LDL-C, low-density lipoprotein cholesterol.

References

    1. Berner E. S. (2009). Clinical decision support systems: State of the art. Agency for Healthcare Research and Quality (AHRQ) publication no. 09-0069-EF. Rockville, MD: AHRQ.
    1. Bodenheimer T., Grumbach K. (2003). Electronic technology: A spark to revitalize primary care? JAMA, 290(2), 259–264. - PubMed
    1. Centers for Disease Control and Prevention. (2018). International Classification of Diseases, Ninth Revision, Clinical Modification. Retrieved February 28, 2018, from https://www.cdc.gov/nchs/icd/icd9cm.htm.
    1. Demakis J. G., Beauchamp C., Cull W. L., Denwood R., Elsen S. A., Lofgren R., Henderson W. G. (2000). Improving residents' compliance with standards of ambulatory care: results from the VA Cooperative Study on Computerized Reminders. JAMA, 284(11), 1411–1416. - PubMed
    1. Gill J. M., Chen Y. X., Glutting J. J., Diamond J. J., Lieberman M. I. (2009). Impact of decision support in electronic medical records on lipid management in primary care. Population Health Management, 12(5), 221–226. - PubMed

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