Electronic data review, client reminders, and expanded clinic hours for improving cervical cancer screening rates after COVID-19 pandemic shutdowns: a multi-component quality improvement program
Abstract
Objective:
To improve cervical cancer screening (CCS) rates, the East Boston Neighborhood Health Center (EBNHC) implemented a Quality Improvement (QI) initiative from March to August 2021.
Methods:
Staff training was provided. A 21-provider team validated overdue CCS indicated by electronic medical record data. To improve screening, CCS-only sessions were created during regular clinic hours (n=5) and weekends/evenings (n=8). Patients were surveyed on their experience.
Results:
6126 charts were reviewed. Of the list of overdue patients, outreach was performed to 1375 patients to schedule the 13 sessions. A total of 459 (33%) of patients completed screening, 622 (45%) could not be reached, and 203 (15%) canceled or missed appointments. The proportion of total active patients who were up to date with CCS increased from 68% in March to 73% in August 2021. Survey results indicated high patient satisfaction, and only 42% of patients would have scheduled CCS without outreach.
Conclusions:
The creation of a validated patient chart list and extra clinical sessions devoted entirely to CCS improved up-to-date CCS rates. However, high rates of unsuccessful outreach and cancelations limited sustainability. This information can be used by other community health centers to optimize clinical workflows for CCS.
Funding:
All funding was internal from EBNHC Adult Medicine, Family Medicine, and Women's Health Departments.
Data availability
Source data for figures attached to submission
Article and author information
Author details
Funding
No external funding
Ethics
Human subjects: Reporting of aggregate data and operational details from this quality improvement project was approved by the East Boston Neighborhood Health Center Chief Medical and Chief Quality Officers.
Copyright
© 2023, Ghosh et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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