A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries

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作者
Pascal Geldsetzer
Sergio Flores
Grace Wang
Blanca Flores
Abu Bakarr Rogers
Aditi Bunker
Andrew Y. Chang
Rebecca Tisdale
机构
[1] Stanford University,Division of Primary Care and Population Health, Department of Medicine
[2] Heidelberg University,Heidelberg Institute of Global Health
[3] Stanford University,Center for Innovation in Global Health
[4] Umeå University,Department of Epidemiology and Global Health
[5] Stanford University,Department of Biology
[6] Heidelberg University Hospital,Department of Epidemiology and Population Health
[7] Stanford University School of Medicine,Department of Medicine
[8] Stanford University,Stanford Cardiovascular Institute
[9] Stanford University School of Medicine,Veterans Affairs Palo Alto Healthcare System
[10] Stanford University,Department of Health Policy, School of Medicine, and Center for Health Policy, Freeman Spogli Institute for International Studies
[11] Center for Innovation to Implementation,undefined
[12] Stanford University,undefined
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npj Digital Medicine | / 5卷
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摘要
Mobile health (mHealth) interventions hold promise for addressing the epidemic of noncommunicable diseases (NCDs) in low- and middle-income countries (LMICs) by assisting healthcare providers managing these disorders in low-resource settings. We aimed to systematically identify and assess provider-facing mHealth applications used to screen for, diagnose, or monitor NCDs in LMICs. In this systematic review, we searched the indexing databases of PubMed, Web of Science, and Cochrane Central for studies published between January 2007 and October 2019. We included studies of technologies that were: (i) mobile phone- or tablet-based, (ii) able to screen for, diagnose, or monitor an NCD of public health importance in LMICs, and (iii) targeting health professionals as users. We extracted disease type, intervention purpose, target population, study population, sample size, study methodology, technology stage, country of development, operating system, and cost. Our initial search retrieved 13,262 studies, 315 of which met inclusion criteria and were analyzed. Cardiology was the most common clinical domain of the technologies evaluated, with 89 publications. mHealth innovations were predominantly developed using Apple’s iOS operating system. Cost data were provided in only 50 studies, but most technologies for which this information was available cost less than 20 USD. Only 24 innovations targeted the ten NCDs responsible for the greatest number of disability-adjusted life years lost globally. Most publications evaluated products created in high-income countries. Reported mHealth technologies are well-developed, but their implementation in LMICs faces operating system incompatibility and a relative neglect of NCDs causing the greatest disease burden.
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