查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Danvi lle, Pennsylvania, by NewsRx correspondents, research stated, “Participant recru itment in rural and hard-to-reach (HTR) populations can present unique challenge s. These challenges are further exacerbated by the need for low-cost recruiting, which often leads to use of web-based recruitment methods (eg, email, social me dia).” Our news editors obtained a quote from the research from Research Institute, “De spite these challenges, recruitment strategy statistics that support effective e nrollment strategies for underserved and HTR populations are underreported. This study highlights how a recruitment strategy that uses email in combination with follow-up, mostly phone calls and email reminders, produced a higher-than-expec ted enrollment rate that includes a diversity of participants from rural, Appala chian populations in older age brackets and reports recruitment and demographic statistics within a subset of HTR populations. This study aims to provide eviden ce that a recruitment strategy that uses a combination of email, telephonic, and follow-up recruitment strategies increases recruitment rates in various HTR pop ulations, specifically in rural, older, and Appalachian populations. We evaluate d the overall enrollment rate of 1 recruitment arm of a larger study that aims t o understand the relationship between genetics and substance use disorders. We e valuated the enrolled population’s characteristics to determine recruitment succ ess of a combined email and follow-up recruitment strategy, and the enrollment r ate of HTR populations. These character-istics included (1) enrollment rate befor e versus after follow-up; (2) zip code and county of enrollee to determine rural or urban and Appalachian status; (3) age to verify recruitment in all eligible age brackets; and (4) sex distribution among age brackets and rural or urban sta tus. The email and follow-up arm of the study had a 17.4% enrollme nt rate. Of the enrolled participants, 76.3% (4602/6030) lived in rural counties and 23.7% (1428/6030) lived in urban counties in Pe nnsylvania. In addition, of patients enrolled, 98.7% (5956/6030) w ere from Appalachian counties and 1.3% (76/6030) were from non-App alachian counties. Patients from rural Appalachia made up 76.2% (4 603/6030) of the total rural population. Enrolled patients represented all eligi ble age brackets from ages 20 to 75 years, with the 60-70 years age bracket havi ng the most enrollees. Females made up 72.5% (4371/6030) of the en rolled population and males made up 27.5% (1659/6030) of the popul ation. Results indicate that a web-based recruitment method with participant fol low-up, such as a phone call and email follow-up, increases enrollment numbers m ore than web-based methods alone for rural, Appalachian, and older populations. Adding a humanizing component, such as a live person phone call, may be a key el ement needed to establish trust and encourage patients from underserved and rura l areas to enroll in studies via web-based recruitment methods.”
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