Literature DB >> 24294328

HCI and mobile health interventions: How human-computer interaction can contribute to successful mobile health interventions.

Erika S Poole1.   

Abstract

Advances in mobile computing offer the potential to change when, where, and how health interventions are delivered. Rather than relying on occasional in-clinic interactions, mobile health (mHealth) interventions may overcome constraints due to limited clinician time, poor patient adherence, and inability to provide meaningful interventions at the most appropriate time. Technological capability, however, does not equate with user acceptance and adoption. How then can we ensure that mobile technologies for behavior change meet the needs of their target audience? In this paper, we argue that overcoming acceptance and adoption barriers requires interdisciplinary collaborations, bringing together not only technologists and health researchers but also human-computer interaction (HCI) experts. We discuss the value of human-computer interaction research to the nascent field of mHealth and demonstrate how research from HCI can offer complementary insights on the creation of mobile health interventions. We conclude with a discussion of barriers to interdisciplinary collaborations in mobile health and suggest ways to overcome them.

Entities:  

Keywords:  Human–computer interaction; Information technology; Mobile technology; mHealth

Year:  2013        PMID: 24294328      PMCID: PMC3830022          DOI: 10.1007/s13142-013-0214-3

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  1 in total

Review 1.  Healthcare in the pocket: mapping the space of mobile-phone health interventions.

Authors:  Predrag Klasnja; Wanda Pratt
Journal:  J Biomed Inform       Date:  2011-09-09       Impact factor: 6.317

  1 in total
  18 in total

1.  Patient generated health data use in clinical practice: A systematic review.

Authors:  George Demiris; Sarah J Iribarren; Katherine Sward; Solim Lee; Rumei Yang
Journal:  Nurs Outlook       Date:  2019-04-26       Impact factor: 3.250

2.  Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults.

Authors:  Rachel Kornfield; Jonah Meyerhoff; Hannah Studd; Ananya Bhattacharjee; Joseph J Williams; Madhu Reddy; David C Mohr
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2022-04-29

3.  Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages.

Authors:  Rachel Kornfield; David C Mohr; Rachel Ranney; Emily G Lattie; Jonah Meyerhoff; Joseph J Williams; Madhu Reddy
Journal:  Proc ACM Hum Comput Interact       Date:  2022-04-07

4.  The BUS Framework: A comprehensive tool in creating an mHealth App utilizing Behavior Change Theories, User-Centered Design, and Social Marketing.

Authors:  Sajani Patel; Monisha Arya
Journal:  J Mob Technol Med       Date:  2017-04-21

5.  User-Centered Design Groups to Engage Patients and Caregivers with a Personalized Health Information Technology Tool.

Authors:  Molly Maher; Elizabeth Kaziunas; Mark Ackerman; Holly Derry; Rachel Forringer; Kristen Miller; Dennis O'Reilly; Larry C An; Muneesh Tewari; David A Hanauer; Sung Won Choi
Journal:  Biol Blood Marrow Transplant       Date:  2015-09-05       Impact factor: 5.742

Review 6.  Smartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation.

Authors:  Sarah J Iribarren; Rebecca Schnall; Patricia W Stone; Alex Carballo-Diéguez
Journal:  JMIR Mhealth Uhealth       Date:  2016-05-13       Impact factor: 4.773

7.  Evaluating an mHealth App for Health and Well-Being at Work: Mixed-Method Qualitative Study.

Authors:  Elsbeth Marieke de Korte; Noortje Wiezer; Joris H Janssen; Peter Vink; Wessel Kraaij
Journal:  JMIR Mhealth Uhealth       Date:  2018-03-28       Impact factor: 4.773

8.  Activating Racial and Ethnic Minorities to Engage in Preventive Health: Patient Preferences for Health Reminders.

Authors:  Sajani Patel; Vagish Hemmige; Richard L Street; Kasisomayajula Viswanath; Monisha Arya
Journal:  J Particip Med       Date:  2017-04-22

9.  Barriers to pilot mobile teleophthalmology in a rural hospital in Southern Malawi.

Authors:  Guillermo Martínez Pérez; Wayne Swart; Jimmy Kondwani Munyenyembe; Peter Saranchuk
Journal:  Pan Afr Med J       Date:  2014-10-09

10.  Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature.

Authors:  Conceição Granja; Wouter Janssen; Monika Alise Johansen
Journal:  J Med Internet Res       Date:  2018-05-01       Impact factor: 5.428

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