Shantanu Nundy1,2, Anjuli Mishra1, Patrick Hogan1, Sang Mee Lee3, Marla C Solomon4, Monica E Peek3,5,6. 1. Department of Medicine, University of Chicago Medical Center, Chicago, Illinois (Dr Nundy, Ms Mishra, Mr Hogan, Dr Peek) 2. Chicago Center for Diabetes Translation Research, Chicago, Illinois (Dr Nundy, Dr Peek) 3. Department of Health Studies, University of Chicago, Chicago, Illinois (Dr Lee) 4. Department of Pediatrics, University of Illinois at Chicago, Chicago, Illinois (Ms Solomon) 5. Center for Health and Social Sciences, University of Chicago, Chicago, Illinois (Dr Peek) 6. Center for the Study of Race, Politics and Culture, University of Chicago, Chicago, Illinois (Dr Peek)
Abstract
PURPOSE: The purpose of this study was to investigate the behavioral effects of a theory-driven, mobile phone-based intervention that combines automated text messaging and remote nursing, using an automated, interactive text messaging system. METHODS: This was a mixed methods observational cohort study. Study participants were members of the University of Chicago Health Plan (UCHP) who largely reside in a working-class, urban African American community. Surveys were conducted at baseline, 3 months (mid-intervention), and 6 months (postintervention) to test the hypothesis that the intervention would be associated with improvements in self-efficacy, social support, health beliefs, and self-care. In addition, in-depth individual interviews were conducted with 14 participants and then analyzed using the constant comparative method to identify new behavioral constructs affected by the intervention. RESULTS: The intervention was associated with improvements in 5 of 6 domains of self-care (medication taking, glucose monitoring, foot care, exercise, and healthy eating) and improvements in 1 or more measures of self-efficacy, social support, and health beliefs (perceived control). Qualitatively, participants reported that knowledge, attitudes, and ownership were also affected by the program. Together these findings were used to construct a new behavioral model. CONCLUSIONS: This study's findings challenge the prevailing assumption that mobile phones largely affect behavior change through reminders and support the idea that behaviorally driven mobile health interventions can address multiple behavioral pathways associated with sustained behavior change.
PURPOSE: The purpose of this study was to investigate the behavioral effects of a theory-driven, mobile phone-based intervention that combines automated text messaging and remote nursing, using an automated, interactive text messaging system. METHODS: This was a mixed methods observational cohort study. Study participants were members of the University of Chicago Health Plan (UCHP) who largely reside in a working-class, urban African American community. Surveys were conducted at baseline, 3 months (mid-intervention), and 6 months (postintervention) to test the hypothesis that the intervention would be associated with improvements in self-efficacy, social support, health beliefs, and self-care. In addition, in-depth individual interviews were conducted with 14 participants and then analyzed using the constant comparative method to identify new behavioral constructs affected by the intervention. RESULTS: The intervention was associated with improvements in 5 of 6 domains of self-care (medication taking, glucose monitoring, foot care, exercise, and healthy eating) and improvements in 1 or more measures of self-efficacy, social support, and health beliefs (perceived control). Qualitatively, participants reported that knowledge, attitudes, and ownership were also affected by the program. Together these findings were used to construct a new behavioral model. CONCLUSIONS: This study's findings challenge the prevailing assumption that mobile phones largely affect behavior change through reminders and support the idea that behaviorally driven mobile health interventions can address multiple behavioral pathways associated with sustained behavior change.
Authors: M E Garay-Sevilla; L E Nava; J M Malacara; R Huerta; J Díaz de León; A Mena; M E Fajardo Journal: J Diabetes Complications Date: 1995 Apr-Jun Impact factor: 2.852
Authors: Charlene C Quinn; Michelle D Shardell; Michael L Terrin; Erik A Barr; Shoshana H Ballew; Ann L Gruber-Baldini Journal: Diabetes Care Date: 2011-07-25 Impact factor: 19.112
Authors: Shantanu Nundy; Jonathan J Dick; Anna P Goddu; Patrick Hogan; Chen-Yuan E Lu; Marla C Solomon; Arnell Bussie; Marshall H Chin; Monica E Peek Journal: Int J Telemed Appl Date: 2012-12-05
Authors: Sara Belle Donevant; Robin Dawson Estrada; Joan Marie Culley; Brian Habing; Swann Arp Adams Journal: J Am Med Inform Assoc Date: 2018-10-01 Impact factor: 4.497