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      ICTs and the challenge of health system transition in low and middle-income countries

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          Abstract

          The aim of this paper is to contribute to debates about how governments and other stakeholders can influence the application of ICTs to increase access to safe, effective and affordable treatment of common illnesses, especially by the poor. First, it argues that the health sector is best conceptualized as a ‘knowledge economy’. This supports a broadened view of health service provision that includes formal and informal arrangements for the provision of medical advice and drugs. This is particularly important in countries with a pluralistic health system, with relatively underdeveloped institutional arrangements. It then argues that reframing the health sector as a knowledge economy allows us to circumvent the blind spots associated with donor-driven ICT-interventions and consider more broadly the forces that are driving e-health innovations. It draws on small case studies in Bangladesh and China to illustrate new types of organization and new kinds of relationship between organizations that are emerging. It argues that several factors have impeded the rapid diffusion of ICT innovations at scale including: the limited capacity of innovations to meet health service needs, the time it takes to build new kinds of partnership between public and private actors and participants in the health and communications sectors and the lack of a supportive regulatory environment. It emphasises the need to understand the political economy of the digital health knowledge economy and the new regulatory challenges likely to emerge. It concludes that governments will need to play a more active role to facilitate the diffusion of beneficial ICT innovations at scale and ensure that the overall pattern of health system development meets the needs of the population, including the poor.

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          Most cited references41

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          The politics of ‘platforms’

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            Effectiveness of mHealth interventions for maternal, newborn and child health in low– and middle–income countries: Systematic review and meta–analysis

            Objective To assess the effectiveness of mHealth interventions for maternal, newborn and child health (MNCH) in low– and middle–income countries (LMIC). Methods 16 online international databases were searched to identify studies evaluating the impact of mHealth interventions on MNCH outcomes in LMIC, between January 1990 and May 2014. Comparable studies were included in a random–effects meta–analysis. Findings Of 8593 unique references screened after de–duplication, 15 research articles and two conference abstracts met inclusion criteria, including 12 intervention and three observational studies. Only two studies were graded at low risk of bias. Only one study demonstrated an improvement in morbidity or mortality, specifically decreased risk of perinatal death in children of mothers who received SMS support during pregnancy, compared with routine prenatal care. Meta–analysis of three studies on infant feeding showed that prenatal interventions using SMS/cell phone (vs routine care) improved rates of breastfeeding (BF) within one hour after birth (odds ratio (OR) 2.01, 95% confidence interval (CI) 1.27–2.75, I2 = 80.9%) and exclusive BF for three/four months (OR 1.88, 95% CI 1.26–2.50, I2 = 52.8%) and for six months (OR 2.57, 95% CI 1.46–3.68, I2 = 0.0%). Included studies encompassed interventions designed for health information delivery (n = 6); reminders (n = 3); communication (n = 2); data collection (n = 2); test result turnaround (n = 2); peer group support (n = 2) and psychological intervention (n = 1). Conclusions Most studies of mHealth for MNCH in LMIC are of poor methodological quality and few have evaluated impacts on patient outcomes. Improvements in intermediate outcomes have nevertheless been reported in many studies and there is modest evidence that interventions delivered via SMS messaging can improve infant feeding. Ambiguous descriptions of interventions and their mechanisms of impact present difficulties for interpretation and replication. Rigorous studies with potential to offer clearer evidence are underway.
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              UNCERTAINTY AND THE WELFARE ECONOMICS OF MEDICAL CARE

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                Author and article information

                Contributors
                +44 (0)1273 915667 , G.Bloom@ids.ac.uk
                evangeliaberdou@gmail.com
                h.standing@emeritus.ids.ac.uk
                zaneguo211@hotmail.com
                alabriqu@gmail.com
                Journal
                Global Health
                Global Health
                Globalization and Health
                BioMed Central (London )
                1744-8603
                7 August 2017
                7 August 2017
                2017
                : 13
                : 56
                Affiliations
                [1 ]ISNI 0000 0004 1936 7590, GRID grid.12082.39, Institute of Development Studies, , University of Sussex, ; Brighton, BN1 9RE UK
                [2 ]Cathay Capital Private Equity, Paris, France
                [3 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, , Johns Hopkins School of Public Health, ; Baltimore, USA
                [4 ]Independent consultant, Brighton, UK
                Author information
                http://orcid.org/0000-0002-7047-2412
                Article
                276
                10.1186/s12992-017-0276-y
                5547477
                28784144
                21081ecc-a22b-43a3-9f3b-2e814089337a
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 5 May 2017
                : 12 July 2017
                Categories
                Review
                Custom metadata
                © The Author(s) 2017

                Health & Social care
                e-health,digital health,health knowledge economy,universal health coverage

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