John A Batsis1,2,3,4,5,6, John A Naslund2,3,4,5,7, Alexandra B Zagaria2,3,4, David Kotz7,8, Rachel Dokko9, Stephen J Bartels2,3,4,5, Elizabeth Carpenter-Song2,3,10. 1. a Section of General Internal Medicine , Dartmouth-Hitchcock Medical Center , Lebanon , NH , USA. 2. b Geisel School of Medicine at Dartmouth , Hanover , NH , USA. 3. c The Dartmouth Institute for Health Policy and Clinical Practice , Lebanon , NH , USA. 4. d Dartmouth Centers for Health and Aging , Dartmouth College , Hanover , NH , USA. 5. e Health Promotion Research Center at Dartmouth , Lebanon , NH , USA. 6. f Section of Weight and Wellness, Department of Medicine , Dartmouth-Hitchcock Medical Center , Lebanon , NH , USA. 7. g Center for Technology and Behavioral Health , Dartmouth College , Hanover , NH , USA. 8. h Department of Computer Science , Dartmouth College , Hanover NH , USA. 9. i Department of Biology , Dartmouth College , Hanover NH , USA. 10. j Department of Anthropology , Dartmouth College , Hanover NH , USA.
Abstract
BACKGROUND: Mobile health (mHealth) technologies comprise a multidisciplinary treatment strategy providing potential solutions for overcoming challenges of successfully delivering health promotion interventions in rural areas. We evaluated the potential of using technology in a high-risk population. METHODS: We conducted a convergent, parallel mixed-methods study using semi-structured interviews, focus groups, and self-reported questionnaires, using purposive sampling of 29 older adults, 4 community leaders and 7 clinicians in a rural setting. We developed codes informed by thematic analysis and assessed the quantitative data using descriptive statistics. RESULTS: All groups expressed that mHealth could improve health behaviors. Older adults were optimistic that mHealth could track health. Participants believed they could improve patient insight into health, motivating change and assuring accountability. Barriers to using technology were described, including infrastructure. CONCLUSIONS: Older rural adults with obesity expressed excitement about the use of mHealth technologies to improve their health, yet barriers to implementation exist.
BACKGROUND: Mobile health (mHealth) technologies comprise a multidisciplinary treatment strategy providing potential solutions for overcoming challenges of successfully delivering health promotion interventions in rural areas. We evaluated the potential of using technology in a high-risk population. METHODS: We conducted a convergent, parallel mixed-methods study using semi-structured interviews, focus groups, and self-reported questionnaires, using purposive sampling of 29 older adults, 4 community leaders and 7 clinicians in a rural setting. We developed codes informed by thematic analysis and assessed the quantitative data using descriptive statistics. RESULTS: All groups expressed that mHealth could improve health behaviors. Older adults were optimistic that mHealth could track health. Participants believed they could improve patient insight into health, motivating change and assuring accountability. Barriers to using technology were described, including infrastructure. CONCLUSIONS: Older rural adults with obesity expressed excitement about the use of mHealth technologies to improve their health, yet barriers to implementation exist.
Authors: Edward W Gregg; Yiling J Cheng; Betsy L Cadwell; Giuseppina Imperatore; Desmond E Williams; Katherine M Flegal; K M Venkat Narayan; David F Williamson Journal: JAMA Date: 2005-04-20 Impact factor: 56.272
Authors: W Jack Rejeski; Peter H Brubaker; David C Goff; Lucille B Bearon; Jacquelyn W McClelland; Michael G Perri; Walter T Ambrosius Journal: Arch Intern Med Date: 2011-01-24
Authors: Tracy L Mitzner; Julie B Boron; Cara Bailey Fausset; Anne E Adams; Neil Charness; Sara J Czaja; Katinka Dijkstra; Arthur D Fisk; Wendy A Rogers; Joseph Sharit Journal: Comput Human Behav Date: 2010-11-01
Authors: John A Batsis; Alexandra B Zagaria; Emma Brooks; Matthew M Clark; Sean Phelan; Francisco Lopez-Jimenez; Stephen J Bartels; Sivan Rotenberg; Elizabeth Carpenter-Song Journal: J Appl Gerontol Date: 2020-02-15
Authors: John A Batsis; Curtis L Petersen; Matthew M Clark; Summer B Cook; Francisco Lopez-Jimenez; Rima I Al-Nimr; Dawna Pidgeon; David Kotz; Todd A Mackenzie; Stephen J Bartels Journal: J Gerontol A Biol Sci Med Sci Date: 2021-01-01 Impact factor: 6.053
Authors: John A Batsis; Curtis L Petersen; Summer B Cook; Rima I Al-Nimr; Dawna Pidgeon; Todd A Mackenzie; Stephen J Bartels Journal: J Nutr Gerontol Geriatr Date: 2020-09-09
Authors: John A Batsis; Curtis L Petersen; Matthew M Clark; Summer B Cook; David Kotz; Tyler L Gooding; Meredith N Roderka; Rima I Al-Nimr; Dawna Pidgeon; Ann Haedrich; K C Wright; Christina Aquila; Todd A Mackenzie Journal: BMC Geriatr Date: 2021-01-12 Impact factor: 3.921
Authors: David J Finley; Kayla A Fay; John A Batsis; Courtney J Stevens; Olivia A Sacks; Christian Darabos; Summer B Cook; Kathleen Doyle Lyons Journal: Eur J Cancer Care (Engl) Date: 2020-05-29 Impact factor: 2.328
Authors: Curtis Lee Petersen; Ryan Halter; David Kotz; Lorie Loeb; Summer Cook; Dawna Pidgeon; Brock C Christensen; John A Batsis Journal: JMIR Mhealth Uhealth Date: 2020-08-07 Impact factor: 4.773
Authors: Honoria Ocagli; Giulia Lorenzoni; Corrado Lanera; Alessandro Schiavo; Livio D'Angelo; Alessandro Di Liberti; Laura Besola; Giorgia Cibin; Matteo Martinato; Danila Azzolina; Augusto D'Onofrio; Giuseppe Tarantini; Gino Gerosa; Ester Cabianca; Dario Gregori Journal: Int J Environ Res Public Health Date: 2021-07-04 Impact factor: 3.390