Literature DB >> 36068371

Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework.

Alan Yang1, Neetu Singh2, Upkar Varshney3.   

Abstract

Mobile Health Interventions (MHIs) have addressed a range of healthcare challenges and have been evaluated using Randomized Controlled Trials (RCTs) to establish clinical effectiveness. Using PRISMA we conducted a systematic literature review of RCTs for MHIs and identified 70 studies which were analyzed and classified using Nickerson-Varshney-Muntermann (NVM) taxonomy. From the resultant iterations of the taxonomy, we extracted insights from the categorized studies. RCTs cover a wide range of health conditions including chronic diseases, general wellness, unhealthy practices, family planning, end-of-life, and post-transplant care. The MHIs that were utilized by the RCTs were varied as well, although most studies did not find significant differences between MHIs and usual care. The challenges for MHI-based RCTs include the use of technologies, delayed outcomes, patient recruitment, patient retention, and complex regulatory requirements. These variances can lead to a higher rate of Type I/Type II errors. Further considerations are the impact of infrastructure, contextual and cultural factors, and reductions in the technological relevancy of the intervention itself. Finally, due to the delayed effect of most outcomes, RCTs of insufficient duration are unable to measure significant, lasting improvements. Using the insights from seventy identified studies, we developed a classification of existing RCTs along with guidelines for MHI-based RCTs and a research framework for future RCTs. The framework offers opportunities for (a) personalization of MHIs, (b) use of richer technologies, and (c) emerging areas for RCTs.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Mobile health interventions; RCT design; Research framework; Taxonomy

Mesh:

Year:  2022        PMID: 36068371     DOI: 10.1007/s10916-022-01856-6

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.920


  76 in total

1.  Evaluation of mobile phone and Internet intervention on waist circumference and blood pressure in post-menopausal women with abdominal obesity.

Authors:  Min-Jeong Park; Hee-Seung Kim
Journal:  Int J Med Inform       Date:  2012-01-21       Impact factor: 4.046

Review 2.  Features, outcomes, and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews.

Authors:  Andreas Triantafyllidis; Haridimos Kondylakis; Konstantinos Votis; Dimitrios Tzovaras; Nicos Maglaveras; Kazem Rahimi
Journal:  Int J Med Inform       Date:  2019-10-05       Impact factor: 4.046

3.  The Effect of Nursing Quality Improvement and Mobile Health Interventions on Infant Sleep Practices: A Randomized Clinical Trial.

Authors:  Rachel Y Moon; Fern R Hauck; Eve R Colson; Ann L Kellams; Nicole L Geller; Timothy Heeren; Stephen M Kerr; Emily E Drake; Kawai Tanabe; Mary McClain; Michael J Corwin
Journal:  JAMA       Date:  2017-07-25       Impact factor: 56.272

4.  Effectiveness of mobile and internet intervention in patients with obese type 2 diabetes.

Authors:  Suk-Il Kim; Hee-Seung Kim
Journal:  Int J Med Inform       Date:  2007-09-18       Impact factor: 4.046

Review 5.  Patient-centered applications: use of information technology to promote disease management and wellness. A white paper by the AMIA knowledge in motion working group.

Authors:  George Demiris; Lawrence B Afrin; Stuart Speedie; Karen L Courtney; Manu Sondhi; Vivian Vimarlund; Christian Lovis; William Goossen; Cecil Lynch
Journal:  J Am Med Inform Assoc       Date:  2007-10-18       Impact factor: 4.497

6.  Feasibility and usability of an ontology-based mobile intervention for patients with hypertension.

Authors:  Tyler S Wheeler; T Michael Vallis; Nicholas B Giacomantonio; Samina R Abidi
Journal:  Int J Med Inform       Date:  2018-08-16       Impact factor: 4.046

7.  Impact of a Mobile Health Intervention on Long-term Nonadherence After Lung Transplantation: Follow-up After a Randomized Controlled Trial.

Authors:  Emily M Geramita; Annette J DeVito Dabbs; Andrea F DiMartini; Joseph M Pilewski; Galen E Switzer; Donna M Posluszny; Larissa Myaskovsky; Mary Amanda Dew
Journal:  Transplantation       Date:  2020-03       Impact factor: 5.385

8.  Importance of Active Participation in Obesity Management Through Mobile Health Care Programs: Substudy of a Randomized Controlled Trial.

Authors:  Bumjo Oh; Ga-Hye Yi; Min Kyu Han; Jong Seung Kim; Chang Hee Lee; Belong Cho; Hee Cheol Kang
Journal:  JMIR Mhealth Uhealth       Date:  2018-01-03       Impact factor: 4.773

9.  Integrating Mobile-health, health coaching, and physical activity to reduce the burden of chronic low back pain trial (IMPACT): a pilot randomised controlled trial.

Authors:  Anita B Amorim; Evangelos Pappas; Milena Simic; Manuela L Ferreira; Matthew Jennings; Anne Tiedemann; Ana Paula Carvalho-E-Silva; Eduardo Caputo; Alice Kongsted; Paulo H Ferreira
Journal:  BMC Musculoskelet Disord       Date:  2019-02-11       Impact factor: 2.362

10.  Using mHealth Technology in a Self-Management Intervention to Promote Physical Activity Among Adults With Chronic Disabling Conditions: Randomized Controlled Trial.

Authors:  Matthew Plow; Meghan Golding
Journal:  JMIR Mhealth Uhealth       Date:  2017-12-01       Impact factor: 4.773

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.