Kiana R Johnson1, Erika Fuchs2, Keith J Horvath3, Peter Scal4. 1. Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, Minnesota. Electronic address: krjohnso@umn.edu. 2. Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota; Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota. 3. Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota. 4. Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, Minnesota.
Abstract
PURPOSE: Focusing on youth with juvenile arthritis (JA), this study investigates eHealth interventions as a means to develop services to improve the health of youth with chronic conditions. Internet use and preferences for Internet-based interventions were compared among youth with high and low psychosocial quality of life (PS-QL) scores. METHODS: Youth with JA (n = 134; high PS-QL, n = 67; low PS-QL, n = 67) completed the MyRheum online survey, which assessed physical functioning, psychosocial health, Internet usage, and amount of time spent using social networking Web sites. Youth indicated their choice, interest, and preferences in using a Web site for youth with JA. The t tests, chi-squared tests, and Fisher exact tests were used to assess significance between high and low PS-QL groups. RESULTS: Youth with lower PS-QL reported greater intrusiveness of their condition across life's activities than did youth with higher PS-QL. Low PS-QL was associated with spending more than 1 hour per day using social networking sites and having used the Internet to find information on various health and substance use topics. Youth with lower PS-QL expressed more interest in messaging others, online forums, building personal profiles, and networking with other teens than did youth with higher PS-QL. Both those with high and low PS-QL preferred online to in-person support groups. CONCLUSIONS: Many youth with JA report low PS-QL and identify interest in Internet-based supportive interventions. The next generation of eHealth interventions for youth with JA, and possibly other chronic conditions, may better address their needs by recognizing the diversity of experiences and tailoring intervention strategies accordingly.
PURPOSE: Focusing on youth with juvenile arthritis (JA), this study investigates eHealth interventions as a means to develop services to improve the health of youth with chronic conditions. Internet use and preferences for Internet-based interventions were compared among youth with high and low psychosocial quality of life (PS-QL) scores. METHODS: Youth with JA (n = 134; high PS-QL, n = 67; low PS-QL, n = 67) completed the MyRheum online survey, which assessed physical functioning, psychosocial health, Internet usage, and amount of time spent using social networking Web sites. Youth indicated their choice, interest, and preferences in using a Web site for youth with JA. The t tests, chi-squared tests, and Fisher exact tests were used to assess significance between high and low PS-QL groups. RESULTS: Youth with lower PS-QL reported greater intrusiveness of their condition across life's activities than did youth with higher PS-QL. Low PS-QL was associated with spending more than 1 hour per day using social networking sites and having used the Internet to find information on various health and substance use topics. Youth with lower PS-QL expressed more interest in messaging others, online forums, building personal profiles, and networking with other teens than did youth with higher PS-QL. Both those with high and low PS-QL preferred online to in-person support groups. CONCLUSIONS: Many youth with JA report low PS-QL and identify interest in Internet-based supportive interventions. The next generation of eHealth interventions for youth with JA, and possibly other chronic conditions, may better address their needs by recognizing the diversity of experiences and tailoring intervention strategies accordingly.
Authors: Barbara Chuen Yee Lo; Romance Nok Man Lai; Ting Kin Ng; Haobi Wang Journal: Int J Environ Res Public Health Date: 2020-10-22 Impact factor: 3.390
Authors: Sonia Butler; Dean Sculley; Derek Santos; Antoni Fellas; Xavier Gironès; Davinder Singh-Grewal; Andrea Coda Journal: J Med Internet Res Date: 2022-02-02 Impact factor: 5.428