Year: 2026
Type: article
Abstract: Background Understanding the resources needed to implement digital health tools is critical for effective and sustainable transformation. For example, knowledge pertaining to the number of staff and amount of time spent for implementation activities is critical for planning and funding implementation efforts. Time–motion studies track both the time spent on a work task and what the task entailed. We conducted a time–motion analysis to examine the time and personnel needed for a multicomponent strategy used at 8 VHA sites to implement an electronic health screening technology (eScreening). Methods Time-motion activity was tracked for the external research team and the 8 study sites. The research team used a Time Tracking Log Sheet to capture the time spent (rounded to the nearest 15-minute interval), the site and personnel involved, and the implementation activities. We examined the personnel (number) and time (hours) by study phase (Pre-Implementation, Training, RPIW, and Ongoing Facilitation), site size (small versus large sites), and local versus research team. Data were analyzed in excel and SPSS using descriptive statistics and independent samples t-tests to examine differences between large and small sites. Results Average local team size and external research team size was 4 and 2, respectively, with no significant differences in the time spent in pre-implementation, training, RPIW, and ongoing facilitation between large and small sites (all p’s > .05). Both local and research teams spent approximately 30 hours per person in total across all phases of implementation. The most time-intensive component was the 3-day RPIW, averaging approximately 19 per person hours for both teams. Conclusions This study provides important information about strategies and resources to implement eScreening at VHA sites, which may also help inform the implementation of other digital health screening tools and related practices both within and beyond VHA. Trial Registration: NCT04506164; https://www.clinicaltrials.gov/; recorded January 12, 2021
Source: Discover Health Systems
Authors: Erin Almklov, John Gault, Michael W. Lee, Bo Kim, Brian C. Huynh, Chad Vacco, James O. E. Pittman
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,390
Award: G8460732485
OpenAlex ID: W7124976080
