» Articles » PMID: 37704484

Improving Diabetes Screening in the Primary Care Clinic

Overview
Publisher Elsevier
Specialty Health Services
Date 2023 Sep 13
PMID 37704484
Authors
Affiliations
Soon will be listed here.
Abstract

Background: In our suburban primary care clinic, the average rate of screening for diabetes among eligible patients was only 51%, similar to national screening data. We conducted a quality improvement project to increase this rate.

Methods: During the 6-month preintervention phase, we collected baseline data on the percentage of eligible patients screened per week (percentage of patients with hemoglobin A1c checked in the prior 3 years out of patients eligible for screening who completed a visit during the week). We then implemented a two-phase intervention. In phase 1 (approximately 8 months), we generated an electronic health record (EHR) report to identify eligible patients and pended laboratory orders for physicians to sign. In phase 2 (approximately 3 months), we replaced the phase 1 intervention with an EHR clinical decision support tool that automatically identifies eligible patients. We compared screening rates in the preintervention vs. intervention period. For phase 1, we also assessed laboratory completion rates and the laboratory results. We surveyed physicians regarding intervention acceptability and satisfaction at 3, 6, 9, and 12 months during the intervention period.

Results: The weekly percentage of patients screened increased from an average of 51% in the preintervention phase to 65% in the intervention phase (p < 0.001). During phase 1, most patients underwent laboratory blood testing as recommended (83% within 3 months), and results were consistent with prediabetes in 23% and with diabetes in 4%. Overall, most physicians believed that the intervention appropriately identified patients due for screening and was helpful (100% of respondents agreed at 9 months vs. 71% at 3 months).

Conclusion: We successfully implemented a systematic screening intervention involving a manual workflow and EHR tool and improved diabetes screening rates in our clinic.

Citing Articles

Evaluation of a Diabetes Screening Clinical Decision Support Tool.

Tseng E, Stein A, Wang N, Mathioudakis N, Yeh H, Maruthur N AJPM Focus. 2024; 3(6):100287.

PMID: 39582738 PMC: 11582736. DOI: 10.1016/j.focus.2024.100287.

References
1.
Kiefer M, Silverman J, Young B, Nelson K . National patterns in diabetes screening: data from the National Health and Nutrition Examination Survey (NHANES) 2005-2012. J Gen Intern Med. 2014; 30(5):612-8. PMC: 4395592. DOI: 10.1007/s11606-014-3147-8. View

2.
Benneyan J, Lloyd R, Plsek P . Statistical process control as a tool for research and healthcare improvement. Qual Saf Health Care. 2003; 12(6):458-64. PMC: 1758030. DOI: 10.1136/qhc.12.6.458. View

3.
Siu A . Screening for Abnormal Blood Glucose and Type 2 Diabetes Mellitus: U.S. Preventive Services Task Force Recommendation Statement. Ann Intern Med. 2015; 163(11):861-8. DOI: 10.7326/M15-2345. View

4.
Simmons D, Zgibor J . Should we screen for type 2 diabetes among asymptomatic individuals? Yes. Diabetologia. 2017; 60(11):2148-2152. DOI: 10.1007/s00125-017-4397-x. View

5.
Ali M, Imperatore G, Benoit S, OBrien M, Holliday C, Echouffo-Tcheugui J . Impact of changes in diabetes screening guidelines on testing eligibility and potential yield among adults without diagnosed diabetes in the United States. Diabetes Res Clin Pract. 2023; 197:110572. PMC: 10352955. DOI: 10.1016/j.diabres.2023.110572. View