AI Article Synopsis

  • A quality improvement project was conducted in a suburban primary care clinic to increase diabetes screening rates, which were initially only 51%, aligning with national averages.
  • The project involved a two-phase intervention that included generating EHR reports and using a clinical decision support tool to streamline the screening process.
  • As a result, screening rates increased to 65%, with high laboratory test completion rates, and most physicians reported the intervention as beneficial and effective.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10828116PMC
http://dx.doi.org/10.1016/j.jcjq.2023.07.009DOI Listing

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