Recruitment and Retention Issues in a Technology-Based Intervention Among Korean American Midlife Women With Depressive Symptoms.

Comput Inform Nurs

Author Affiliations: School of Nursing, The University of Texas at Austin (Drs Im and Chee); Nell Hodgson Woodruff School of Nursing (Drs Kim, Dunbar, and Paul), and School of Medicine (Dr Miller), Emory University, Atlanta, GA; School of Nursing, University of Texas, San Antonio (Dr Lee), and Rollins School of Public Health, Emory University (Jung), Atlanta, GA.

Published: September 2024

The number of health technology-based intervention studies has grown significantly. However, issues in the recruitment and retention for such studies, especially of Asian Americans, have rarely been discussed. The purpose of this paper was to discuss issues in the recruitment and retention of a specific group of Asian Americans-Korean American midlife women with depressive symptoms-into a technology-based intervention study using computers and mobile devices with a measurement device and to provide directions for future participant recruitment and retention in technology-based intervention studies. The written memos of research team members and the written records of research team meetings were analyzed using a content analysis. The issues in the recruitment and retention process included (1) low recruitment and retention rates; (2) the perceived long intervention period; (3) strict inclusion/exclusion criteria; (4) concerns related to the use of a measurement device; and (5) the perceived adequacy of monetary incentives. Based on the issues identified in the study, several suggestions are made for future recruitment and retention of racial/ethnic minorities in technology-based intervention studies (eg, appropriate intervention period, innovative and creative motivation strategies, acceptable measurement scales and devices, and adequate monetary reimbursement).

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11377170PMC
http://dx.doi.org/10.1097/CIN.0000000000001159DOI Listing

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