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Published on: February 15, 2022
An Initiative to Improve Follow-up of Patients with Glaucoma
Calvin C Robbins1, Sidrah Anjum1, Amer Mosa Alwreikat1,2
1Department of Ophthalmology, Lahey Hospital & Medical Center, Peabody, Massachusetts.
Purpose:
This study describes the implementation of an electronic medical record (EMR)-based initiative aimed at reducing the number of patients with glaucoma-related diagnoses lost to follow-up (LTF) and reviews its short-term outcomes.
Design:
Retrospective, comparative case series.
Participants:
Patients with glaucoma-related diagnoses seen 1 year prior at the Lahey Medical Center and who had not returned within the 6-month period between January 1, 2020, and June 30, 2020, which spanned the outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic in the United States.
Methods:
An EMR-based tool was designed to identify patients suspected of being LTF with glaucoma-related diagnoses. Providers were enlisted to review the EMR for each of these patients and re-engage them, as appropriate. One month later, the initiative was evaluated by means of a retrospective chart review. Binary logistic regression analysis was used to identify demographic, clinical, and sociomedical factors associated with being LTF.
Main Outcome Measures:
Patients who completed a telemedicine or in-person appointment, or had a future scheduled or ordered return appointment, were considered re-engaged.
Results:
Of the 3551 patients seen during the study period, 384 patients were identified as LTF (11%), with 60 identifying COVID-19 as the reason for canceling their visit (16%). Patients who lived farther from the eye clinic (P < 0.001) or who had a history of canceling or missing an appointment (P < 0.001) were more likely to be LTF. Patients with open-angle glaucoma (P = 0.042) or who had completed a visual field (P < 0.001) or ophthalmic imaging (P < 0.001) within the past year were less likely to be LTF. One month after the re-engagement initiative, 124 LTF patients (32%) had been re-engaged (40% through telemedicine), 238 patients (62%) had future scheduling orders in place, and 22 patients (6%) had no active plan for future follow-up.
Conclusions:
An EMR-based tool is an effective method for identifying patients at risk of being LTF and provides an opportunity for providers to recall and re-engage patients. Use of telemedicine to recontact LTF patients shows promise of improving the management of glaucoma, enhancing clinical productivity, and documenting treatment plans, thereby potentially reducing medicolegal liability.
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