Literature DB >> 22548600

Capitalizing on the characteristics of mHealth to evaluate its impact.

Patricia Mechael1, Bennett Nemser, Roxana Cosmaciuc, Heather Cole-Lewis, Seth Ohemeng-Dapaah, Schadrack Dusabe, Nadi Nina Kaonga, Patricia Namakula, Muhadili Shemsanga, Ryan Burbach, Andrew S Kanter.   

Abstract

The field of mHealth has made significant advances in a short period of time, demanding a more thorough and scientific approach to understanding and evaluating its progress. A recent review of mHealth literature identified two primary research needs in order for mHealth to strengthen health systems and promote healthy behaviors, namely health outcomes and cost-benefits (Mechael et al., 2010 ). In direct response to the gaps identified in mHealth research, the aim of this paper is to present the study design and highlight key observations and next steps from an evaluation of the mHealth activities within the electronic health (eHealth) architecture implemented by the Millennium Villages Project (MVP) by leveraging data generated through mobile technology itself alongside complementary qualitative research and costing assessments. The study, funded by the International Development and Research Centre (IDRC) as part of the Open Architecture Standards and Information Systems research project (OASIS II) (Sinha, 2009 ), is being implemented on data generated by 14 MVP sites in 10 Sub-Saharan African countries including more in-depth research in Ghana, Rwanda, Tanzania, and Uganda. Specific components of the study include rigorous quantitative case-control analyses and other epidemiological approaches (such as survival analysis) supplemented by in-depth qualitative interviews spread out over 18 months, as well as a costing study to assess the impact of mHealth on health outcomes, service delivery, and efficiency.

Mesh:

Year:  2012        PMID: 22548600     DOI: 10.1080/10810730.2012.679847

Source DB:  PubMed          Journal:  J Health Commun        ISSN: 1081-0730


  7 in total

Review 1.  The current status of mHealth for diabetes: will it be the next big thing?

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

Review 2.  The RAFT Telemedicine Network: Lessons Learnt and Perspectives from a Decade of Educational and Clinical Services in Low- and Middle-Incomes Countries.

Authors:  Georges Bediang; Caroline Perrin; Rafael Ruiz de Castañeda; Yannick Kamga; Alexandre Sawadogo; Cheick Oumar Bagayoko; Antoine Geissbuhler
Journal:  Front Public Health       Date:  2014-10-07

Review 3.  Exploring the ambivalent evidence base of mobile health (mHealth): A systematic literature review on the use of mobile phones for the improvement of community health in Africa.

Authors:  Eva Fm Krah; Johannes G de Kruijf
Journal:  Digit Health       Date:  2016-11-24

4.  Empowering Young People Living With Juvenile Idiopathic Arthritis to Better Communicate With Families and Care Teams: Content Analysis of Semistructured Interviews.

Authors:  Meghan R Longacre; Stuart W Grande; Karin Palmblad; Meera V Montan; Rikard P Berquist; Andreas Hager; Greg Kotzbauer
Journal:  JMIR Mhealth Uhealth       Date:  2019-02-22       Impact factor: 4.773

5.  The Elusive Path Toward Measuring Health Outcomes: Lessons Learned From a Pseudo-Randomized Controlled Trial of a Large-Scale Mobile Health Initiative.

Authors:  Patricia Mechael; Nadi Nina Kaonga; Subhashini Chandrasekharan; Aakash Ganju; Nirmala Murthy; Muthu Perumal Prakash; Joanne Peter
Journal:  JMIR Mhealth Uhealth       Date:  2019-08-21       Impact factor: 4.773

6.  Engagement and Usability of a Cognitive Behavioral Therapy Mobile App Compared With Web-Based Cognitive Behavioral Therapy Among College Students: Randomized Heuristic Trial.

Authors:  Saptarshi Purkayastha; Siva Abhishek Addepally; Sherri Bucher
Journal:  JMIR Hum Factors       Date:  2020-02-03

Review 7.  mHealth in Sub-Saharan Africa.

Authors:  Thomas J Betjeman; Samara E Soghoian; Mark P Foran
Journal:  Int J Telemed Appl       Date:  2013-12-04
  7 in total

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