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Cureus ; 11(9): e5743, 2019 Sep 24.
Artigo em Inglês | MEDLINE | ID: mdl-31723504

RESUMO

Introduction Text messaging (TM) is increasingly used by the U.S. medical practices and healthcare delivery systems, but little is known about preferences of medically underserved minority patients for TM supporting improved self-care decisions. We sought to determine the characteristics of text messages and TM programs preferred by African-American patients with diabetes in medically underserved areas. Methods This convergent mixed methods study employed a self-administered survey and focus group interviews. Quantitative and qualitative data were collected simultaneously, analyzed separately, and merged to provide a holistic view of the TM characteristics patients preferred. Participants (N = 36) were recruited from a medically underserved area in Memphis, Tennessee. Focus group data were uploaded into the NVivo qualitative data analysis software program, and main themes were identified. Standard frequencies were calculated for survey responses. Results Participants ranged in the age of 22-74 years (M = 54.1; SD = 14.6) were predominantly female (77.8%), African-Americans (88.9%), and had at least a high school education (91.7%). A majority used mobile phones for sending (69.4%) and receiving (72.2%) text messages. Participants wanted to receive daily (44.4%) or weekly (47.2%) text messages from their healthcare provider (61.1%), or a motivational message program (33.3%). They preferred actionable messages with a positive tone and wanted options to customize message type, content, and frequency according to their preferences, goals, and needs. Discussion Medically underserved African-American diabetes patients want customized text messages that are practical, actionable, encouraging, and from their doctor. Healthcare providers seeking to develop patient-centered TM programs for medically underserved minority patients should personalize and tailor messages according to patient preferences, health goals, and self-care needs.

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