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      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

      review-article
      ,
      Digital health
      SAGE Publications
      mHealth, Africa, mobile phones, community health, evidence base, impact assessment

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          Abstract

          Background

          Africa is labelled the world's fastest-growing ‘mobile region’. Considering such growth and the fragility of the continent's healthcare, mHealth has flourished. This review explores mHealth for community health in Africa in order to assess its still ambivalent evidence base.

          Methods

          Using PubMed, Web of Science, OvidSP and Google Scholar, a systematic review was conducted of one decade (2005–2015) of peer-reviewed literature on mHealth in Africa. Data analysis focused on qualifications of success and failure. Impact evaluations of project assessments ( n = 65) were complemented with general analyses/overviews of mHealth's effectiveness ( n = 35).

          Results

          Review of these texts reveals ambivalence in the appraisal of mHealth; essentially, the critical stance in general analyses/overviews is absent from project assessments. Especially weak evidence concerning sustainability and scalability is stressed in overviews. Project assessments are more optimistic. Their analysis suggests a causal connection between simplicity and success. Effective interventions are thus characterized by straightforward design and modest objectives. Greatest impediments of impact are general technology-related issues and intervention inappropriateness due to insufficient understanding of beneficiaries and specific context of use (circumstantial complications).

          Conclusion

          Distinguishing between these two categories of complications helps to break the deadlock that marks the mHealth debate and add nuance to claims that mHealth's evidence base is weak. Constructive realism – rather than unfounded optimism or pessimism without nuance – should guide the design of interventions. Besides anticipative of technology-related complications, such realism must lead to either basic interventions or to smart mHealth shaped by deep understanding of the context of implementation.

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          Most cited references82

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          The effect of mobile phone text-message reminders on Kenyan health workers' adherence to malaria treatment guidelines: a cluster randomised trial

          Summary Background Health workers' malaria case-management practices often differ from national guidelines. We assessed whether text-message reminders sent to health workers' mobile phones could improve and maintain their adherence to treatment guidelines for outpatient paediatric malaria in Kenya. Methods From March 6, 2009, to May 31, 2010, we did a cluster-randomised controlled trial at 107 rural health facilities in 11 districts in coastal and western Kenya. With a computer-generated sequence, health facilities were randomly allocated to either the intervention group, in which all health workers received text messages on their personal mobile phones on malaria case-management for 6 months, or the control group, in which health workers did not receive any text messages. Health workers were not masked to the intervention, although patients were unaware of whether they were in an intervention or control facility. The primary outcome was correct management with artemether-lumefantrine, defined as a dichotomous composite indicator of treatment, dispensing, and counselling tasks concordant with Kenyan national guidelines. The primary analysis was by intention to treat. The trial is registered with Current Controlled Trials, ISRCTN72328636. Findings 119 health workers received the intervention. Case-management practices were assessed for 2269 children who needed treatment (1157 in the intervention group and 1112 in the control group). Intention-to-treat analysis showed that correct artemether-lumefantrine management improved by 23·7 percentage-points (95% CI 7·6–40·0; p=0·004) immediately after intervention and by 24·5 percentage-points (8·1–41·0; p=0·003) 6 months later. Interpretation In resource-limited settings, malaria control programmes should consider use of text messaging to improve health workers' case-management practices. Funding The Wellcome Trust.
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            The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review.

            Rates of chronic diseases will continue to rise in developing countries unless effective and cost-effective interventions are implemented. This review aims to discuss the impact of mobile health (m-health) on chronic disease outcomes in low- and middle-income countries (LMIC). Systematic literature searches were performed using CENTRAL, MEDLINE, EMBASE, and LILACS databases and gray literature. Scientific literature was searched to identify controlled studies evaluating cell phone voice and text message interventions to address chronic diseases in adults in low- or middle-income countries. Outcomes measured included morbidity, mortality, hospitalization rates, behavioral or lifestyle changes, process of care improvements, clinical outcomes, costs, patient-provider satisfaction, compliance, and health-related quality of life (HRQoL). From the 1,709 abstracts retrieved, 163 articles were selected for full text review, including 9 randomized controlled trials with 4,604 participants. Most of the studies addressed more than one outcome. Of the articles selected, six studied clinical outcomes, six studied processes of care, three examined healthcare costs, and two examined HRQoL. M-health positively impacted on chronic disease outcomes, improving attendance rates, clinical outcomes, and HRQoL, and was cost-effective. M-health is emerging as a promising tool to address access, coverage, and equity gaps in developing countries and low-resource settings. The results for m-health interventions showed a positive impact on chronic diseases in LMIC. However, a limiting factor of this review was the relatively small number of studies and patients enrolled, highlighting the need for more rigorous research in this area in developing countries.
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              Special delivery: an analysis of mHealth in maternal and newborn health programs and their outcomes around the world.

              Mobile health (mHealth) encompasses the use of mobile telecommunication and multimedia into increasingly mobile and wireless health care delivery systems and has the potential to improve tens of thousands of lives each year. The ubiquity and penetration of mobile phones presents the opportunity to leverage mHealth for maternal and newborn care, particularly in under-resourced health ecosystems. Moreover, the slow progress and funding constraints in attaining the Millennium Development Goals for child and maternal health encourage harnessing innovative measures, such as mHealth, to address these public health priorities. This literature review provides a schematic overview of the outcomes, barriers, and strategies of integrating mHealth to improve prenatal and neonatal health outcomes. Six electronic databases were methodically searched using predetermined search terms. Retrieved articles were then categorized according to themes identified in previous studies. A total of 34 articles and reports contributed to the findings with information about the use and limitations of mHealth for prenatal and neonatal healthcare access and delivery. Health systems have implemented mHealth programs to facilitate emergency medical responses, point-of-care support, health promotion and data collection. However, the policy infrastructure for funding, coordinating and guiding the sustainable adoption of prenatal and neonatal mHealth services remains under-developed. The integration of mobile health for prenatal and newborn health services has demonstrated positive outcomes, but the sustainability and scalability of operations requires further feedback from and evaluation of ongoing programs.
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                Author and article information

                Journal
                Digit Health
                Digit Health
                DHJ
                spdhj
                Digital health
                SAGE Publications (Sage UK: London, England )
                2055-2076
                24 November 2016
                Jan-Dec 2016
                : 2
                : 2055207616679264
                Affiliations
                [1-2055207616679264]Department of Cultural Anthropology, Utrecht University, the Netherlands
                Author notes
                [*]Johannes G de Kruijf, Universiteit Utrecht, Room A2.17, Padualaan 14, 3584 CH, Utrecht, The Netherlands. Email: j.g.dekruijf@ 123456uu.nl
                Article
                10.1177_2055207616679264
                10.1177/2055207616679264
                6001200
                29942576
                a1b20e0f-5f3b-4e0c-b1dd-cfe94bba7de9
                © The Author(s) 2016

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License ( http://www.creativecommons.org/licenses/by-nc-nd/3.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 23 February 2016
                : 18 October 2016
                Categories
                Review Article
                Custom metadata
                January-December 2016

                mhealth,africa,mobile phones,community health,evidence base,impact assessment

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