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Goals: This study aimed to (1) compare colorectal cancer (CRC) screening rates among patients receiving mailed fecal immunochemical testing (FIT) versus in-clinic FIT and (2) assess the impact of various reminder interventions versus no extra reminder on mailed FIT completion.
Background: FIT is a first-line method for CRC screening. However, no research has compared screening completion in patients receiving FIT through mail (mailed FIT) versus patients receiving FIT from a provider in a clinic setting (in-clinic FIT), both of which have significantly different workflows. Furthermore, limited research has compared whether varying reminder strategies improve mailed FIT completion.
Study: This quality improvement prospective cohort study conducted at the Providence Veterans Affairs Medical Center included patients due for average-risk CRC screening. Sixteen hundred patients were mailed FIT, and if FIT was not returned within 1 month they were randomized to the following reminders: no extra reminder, personal phone call, personal voicemail, mailed postcard. Simultaneously, 1769 patients received in-clinic FIT. Three-month return and result rates were compared between mailed versus in-clinic FIT, as well as across the different mailed FIT reminder interventions.
Results: Mailed FIT return (36%) and result (34%) rates were significantly higher than in-clinic FIT return (28%) and result (24%) rates (both P<0.0001). Phone calls were the most effective mailed FIT reminder (29% return rate), significantly outperforming the no extra reminder group (21% return rate, P=0.02).
Conclusions: Mailed FIT demonstrated higher efficacy and should be implemented in conjunction with in-clinic FIT. Phone call reminders should be incorporated into the mailed FIT workflow.
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http://dx.doi.org/10.1097/MCG.0000000000002183 | DOI Listing |
Drugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
View Article and Find Full Text PDFFront Public Health
September 2025
University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Background And Aims: The Swiss government implemented lockdown measures during the COVID-19 pandemic to contain outbreaks and prevent healthcare system overload. Emergency department (ED) visits were discouraged, leading to a decline in utilization, except for urgent cases. However, little is known about regional variations in pediatric ED use and spatial distribution patterns across Switzerland.
View Article and Find Full Text PDFBMJ Paediatr Open
August 2025
School of Nursing and Midwifery, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK
Background: Sudden unexplained death in childhood (SUDC) is a rare and devastating experience for families. In the UK, multi-agency investigation by police, health and social care of sudden, unexpected child deaths is a statutory requirement aiming to identify full causes for deaths. Families should be allocated bereavement keyworkers for support throughout the investigative process which can take several months.
View Article and Find Full Text PDFContemp Clin Trials
August 2025
AltaMed Health Services Corporation, Los Angeles, CA, USA.
Background: US colorectal cancer screening rates are suboptimal, particularly among Latino populations and patients served by federally qualified health centers (FQHCs). PRIME is a two-phased study to test effectiveness of a multi-component program to address patient social needs and improve colorectal cancer screening and follow-up in neighborhoods served by our partnering FQHC.
Methods: PRIME is a modified stepped-wedge study involving health-center patients in 12 neighborhoods in Southern California, followed by a scale-up study involving four additional health centers/neighborhoods.
Cancer
August 2025
Implenomics, Dover, Delaware, USA.
Introduction: The purpose of this study was to evaluate the effectiveness and cost of a patient navigation (PN) program in a large federally qualified health center (FQHC).
Methods: The PN program implemented at AltaMed was evaluated; it is an FQHC that participated in the Centers for Disease Control and Prevention's Colorectal Cancer Control Program. A tailored data collection tool was developed to collect time and resources spent on program activities, salaries of staff, nonlabor resources, and process and outcome measures for 2021-2023.