Published on in Vol 5, No 3 (2017): March

mHealth for Clinical Decision-Making in Sub-Saharan Africa: A Scoping Review

mHealth for Clinical Decision-Making in Sub-Saharan Africa: A Scoping Review

mHealth for Clinical Decision-Making in Sub-Saharan Africa: A Scoping Review

Journals

  1. Tran B, Nghiem S, Sahin O, Vu T, Ha G, Vu G, Pham H, Do H, Latkin C, Tam W, Ho C, Ho R. Modeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study. Journal of Medical Internet Research 2019;21(11):e15511 View
  2. Amoakoh H, Klipstein-Grobusch K, Agyepong I, Zuithoff N, Amoakoh-Coleman M, Kayode G, Sarpong C, Reitsma J, Grobbee D, Ansah E. The effect of an mHealth clinical decision-making support system on neonatal mortality in a low resource setting: A cluster-randomized controlled trial. EClinicalMedicine 2019;12:31 View
  3. Finette B, McLaughlin M, Scarpino S, Canning J, Grunauer M, Teran E, Bahamonde M, Quizhpe E, Shah R, Swedberg E, Rahman K, Khondker H, Chakma I, Muhoza D, Seck A, Kabore A, Nibitanga S, Heath B. Development and Initial Validation of a Frontline Health Worker mHealth Assessment Platform (MEDSINC®) for Children 2–60 Months of Age. The American Journal of Tropical Medicine and Hygiene 2019;100(6):1556 View
  4. Abejirinde I, De Brouwere V, van Roosmalen J, van der Heiden M, Apentibadek N, Bardají A, Zweekhorst M. Viability of diagnostic decision support for antenatal care in rural settings: findings from the Bliss4Midwives Intervention in Northern Ghana. Journal of Global Health 2019;9(1) View
  5. Elahi C, Spears C, Williams S, Dunn T, Najjuma J, Staton C, Nickenig Vissoci J, Fuller A, Kitya D, Haglund M. An Attitude Survey and Assessment of the Feasibility, Acceptability, and Usability of a Traumatic Brain Injury Decision Support Tool in Uganda. World Neurosurgery 2020;139:495 View
  6. Guo J, Li B. The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries. Health Equity 2018;2(1):174 View
  7. Amoakoh H, Klipstein-Grobusch K, Ansah E, Grobbee D, Yveoo L, Agyepong I. How and why front-line health workers (did not) use a multifaceted mHealth intervention to support maternal and neonatal healthcare decision-making in Ghana. BMJ Global Health 2019;4(2):e001153 View
  8. Abejirinde I, Douwes R, Bardají A, Abugnaba-Abanga R, Zweekhorst M, van Roosmalen J, De Brouwere V. Pregnant women’s experiences with an integrated diagnostic and decision support device for antenatal care in Ghana. BMC Pregnancy and Childbirth 2018;18(1) View
  9. Amoakoh H, Klipstein-Grobusch K, Grobbee D, Amoakoh-Coleman M, Oduro-Mensah E, Sarpong C, Frimpong E, Kayode G, Agyepong I, Ansah E. Using Mobile Health to Support Clinical Decision-Making to Improve Maternal and Neonatal Health Outcomes in Ghana: Insights of Frontline Health Worker Information Needs. JMIR mHealth and uHealth 2019;7(5):e12879 View
  10. Agarwal S, Tamrat T, Glenton C, Lewin S, Henschke N, Maayan N, Fønhus M, Mehl G. Decision-support tools via mobile devices to improve quality of care in primary healthcare settings. Cochrane Database of Systematic Reviews 2018 View
  11. Toyama M, Diez-Canseco F, Busse P, Del Mastro I, Miranda J. Design and content validation of a set of SMS to promote seeking of specialized mental health care within the Allillanchu Project. Global Health, Epidemiology and Genomics 2018;3 View
  12. Lindberg M, Venkateswaran M, Abu Khader K, Awwad T, Ghanem B, Hijaz T, Mørkrid K, Frøen J. eRegTime, Efficiency of Health Information Management Using an Electronic Registry for Maternal and Child Health: Protocol for a Time-Motion Study in a Cluster Randomized Trial. JMIR Research Protocols 2019;8(8):e13653 View
  13. van Pelt S, Massar K, van der Eem L, Shields-Zeeman L, de Wit J, Ruiter R. “If you don’t have enough equipment, you’re not going to provide quality services”: Healthcare workers’ perceptions on improving the quality of antenatal care in rural Tanzania. International Journal of Africa Nursing Sciences 2020;13:100232 View
  14. Winters N, Langer L, Geniets A. Scoping review assessing the evidence used to support the adoption of mobile health (mHealth) technologies for the education and training of community health workers (CHWs) in low-income and middle-income countries. BMJ Open 2018;8(7):e019827 View
  15. Gehring H, Rackebrandt K, Imhoff M. E-Health und die Realität – was sehen wir heute schon in der Klinik?. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2018;61(3):252 View
  16. Avery M, Mills S, Stephan E. Real-time monitoring through the use of technology to enhance performances throughout HIV cascades. Current Opinion in HIV and AIDS 2017;12(5):488 View
  17. Diez-Canseco F, Toyama M, Ipince A, Perez-Leon S, Cavero V, Araya R, Miranda J. Integration of a Technology-Based Mental Health Screening Program Into Routine Practices of Primary Health Care Services in Peru (The Allillanchu Project): Development and Implementation. Journal of Medical Internet Research 2018;20(3):e100 View
  18. Peiffer-Smadja N, Poda A, Ouedraogo A, Guiard-Schmid J, Delory T, Le Bel J, Bouvet E, Lariven S, Jeanmougin P, Ahmad R, Lescure F. Paving the Way for the Implementation of a Decision Support System for Antibiotic Prescribing in Primary Care in West Africa: Preimplementation and Co-Design Workshop With Physicians. Journal of Medical Internet Research 2020;22(7):e17940 View
  19. Doocy S, Paik K, Lyles E, Hei Tam H, Fahed Z, Winkler E, Kontunen K, Mkanna A, Burnham G. Guidelines and mHealth to Improve Quality of Hypertension and Type 2 Diabetes Care for Vulnerable Populations in Lebanon: Longitudinal Cohort Study. JMIR mHealth and uHealth 2017;5(10):e158 View
  20. Chirambo G, Muula A, Thompson M. Factors affecting sustainability of mHealth decision support tools and mHealth technologies in Malawi. Informatics in Medicine Unlocked 2019;17:100261 View
  21. Gray A, Boyles T, Luedtke S, Sossen B, Birjovanu G, Kostkova P, Hughes J, Esmail H. A threat to decentralised care for drug-resistant tuberculosis. The Lancet Respiratory Medicine 2020;8(10):950 View
  22. Amoakoh H, Klipstein-Grobusch K, Agyepong I, Amoakoh-Coleman M, Kayode G, Reitsma J, Grobbee D, Ansah E. Can an mhealth clinical decision-making support system improve adherence to neonatal healthcare protocols in a low-resource setting?. BMC Pediatrics 2020;20(1) View
  23. Muhindo M, Bress J, Kalanda R, Armas J, Danziger E, Kamya M, Butler L, Ruel T. Implementation of a Newborn Clinical Decision Support Software (NoviGuide) in a Rural District Hospital in Eastern Uganda: Feasibility and Acceptability Study. JMIR mHealth and uHealth 2021;9(2):e23737 View
  24. Visconti R, Larocca A, Marconi M. Accessibility to First-Mile health services: A time-cost model for rural Uganda. Social Science & Medicine 2020;265:113410 View
  25. Osei E, Mashamba-Thompson T. Mobile health applications for disease screening and treatment support in low-and middle-income countries: A narrative review. Heliyon 2021;7(3):e06639 View
  26. Ogundaini O, de la Harpe R, McLean N. Unintended consequences of technology-enabled work activities experienced by healthcare professionals in tertiary hospitals of sub-Saharan Africa. African Journal of Science, Technology, Innovation and Development 2022;14(4):876 View
  27. Ndlovu K, Mars M, Scott R. Interoperability frameworks linking mHealth applications to electronic record systems. BMC Health Services Research 2021;21(1) View
  28. van Pelt S, Massar K, Shields-Zeeman L, de Wit J, van der Eem L, Lughata A, Ruiter R. The Development of an Electronic Clinical Decision and Support System to Improve the Quality of Antenatal Care in Rural Tanzania: Lessons Learned Using Intervention Mapping. Frontiers in Public Health 2021;9 View
  29. Godman B, Egwuenu A, Haque M, Malande O, Schellack N, Kumar S, Saleem Z, Sneddon J, Hoxha I, Islam S, Mwita J, do Nascimento R, Dias Godói I, Niba L, Amu A, Acolatse J, Incoom R, Sefah I, Opanga S, Kurdi A, Chikowe I, Khuluza F, Kibuule D, Ogunleye O, Olalekan A, Markovic-Pekovic V, Meyer J, Alfadl A, Phuong T, Kalungia A, Campbell S, Pisana A, Wale J, Seaton R. Strategies to Improve Antimicrobial Utilization with a Special Focus on Developing Countries. Life 2021;11(6):528 View
  30. Agarwal S, Glenton C, Tamrat T, Henschke N, Maayan N, Fønhus M, Mehl G, Lewin S. Decision-support tools via mobile devices to improve quality of care in primary healthcare settings. Cochrane Database of Systematic Reviews 2021;2021(7) View
  31. LeBaron V, Horton B, Adhikari A, Chapagain S, Dhakal M, Gongal R, Kattel R, Koirala G, Kutcher A, Hass B, Maurer M, Munday D, Neupane B, Sharma K, Shilpakar R, Shrestha A, Shrestha S, Thapa U, Dillingham R, Paudel B. A Global Collaboration to Develop and Pilot Test a Mobile Application to Improve Cancer Pain Management in Nepal. Frontiers in Pain Research 2022;3 View
  32. Venkateswaran M, Ghanem B, Abbas E, Khader K, Ward I, Awwad T, Baniode M, Frost M, Hijaz T, Isbeih M, Mørkrid K, Rose C, Frøen J. A digital health registry with clinical decision support for improving quality of antenatal care in Palestine (eRegQual): a pragmatic, cluster-randomised, controlled, superiority trial. The Lancet Digital Health 2022;4(2):e126 View
  33. Muhindo M, Bress J, Armas J, Danziger E, Wu A, Brewster R, Robinson J. The utilization of clinical decision support tools to identify neonatal hypothermia and its associated risk factors: A prospective observational study. PLOS Global Public Health 2023;3(2):e0000982 View
  34. Zhang D, Xiao L, Duan J, Chang X, Walsh K, Sandars J, Brown J, Dang X, Shen W, Du J, Cao Y. Understanding online self-directed learning using point of care information systems (POCIS): A plot study using a capability approach perspective. Medical Teacher 2022;44(12):1413 View
  35. Horwood C, Luthuli S, Mapumulo S, Haskins L, Jensen C, Pansegrouw D, McKerrow N. Challenges of using e-health technologies to support clinical care in rural Africa: a longitudinal mixed methods study exploring primary health care nurses’ experiences of using an electronic clinical decision support system (CDSS) in South Africa. BMC Health Services Research 2023;23(1) View
  36. Schmitz T, Beynon F, Musard C, Kwiatkowski M, Landi M, Ishaya D, Zira J, Muazu M, Renner C, Emmanuel E, Bulus S, Rossi R. Effectiveness of an electronic clinical decision support system in improving the management of childhood illness in primary care in rural Nigeria: an observational study. BMJ Open 2022;12(7):e055315 View
  37. Srinidhi V, Karachiwala B, Iyer A, Reddy B, Mathrani V, Madhiwalla N, Periodi V, Sreevathsa A, Viswanatha L, Sen G. ASHA Kirana: when digital technology empowered front-line health workers. BMJ Global Health 2021;6(Suppl 5):e005039 View
  38. Rabbani M, Haque M, Dipal D, Zarif M, Iqbal A, Schwichtenberg A, Bansal N, Soron T, Ahmed S, Ahamed S. A data-driven validation of mobile-based care (mCARE) project for children with ASD in LMICs. Smart Health 2022;26:100345 View
  39. Nishimwe A, Ibisomi L, Nyssen M, Conco D. The effect of a decision-support mHealth application on maternal and neonatal outcomes in two district hospitals in Rwanda: pre – post intervention study. BMC Pregnancy and Childbirth 2022;22(1) View
  40. Musyoka C, Mbwayo A, Donovan D, Mathai M, König L. Student peer mentoring: Feasibility and acceptability of mHealth-based tool for alcohol and substance abuse prevention by peer mentors at a university in Kenya. PLOS Digital Health 2023;2(1):e0000177 View
  41. Kiyasseh D, Zhu T, Clifton D. The Promise of Clinical Decision Support Systems Targetting Low-Resource Settings. IEEE Reviews in Biomedical Engineering 2022;15:354 View
  42. Abubakar I, Dalglish S, Angell B, Sanuade O, Abimbola S, Adamu A, Adetifa I, Colbourn T, Ogunlesi A, Onwujekwe O, Owoaje E, Okeke I, Adeyemo A, Aliyu G, Aliyu M, Aliyu S, Ameh E, Archibong B, Ezeh A, Gadanya M, Ihekweazu C, Ihekweazu V, Iliyasu Z, Kwaku Chiroma A, Mabayoje D, Nasir Sambo M, Obaro S, Yinka-Ogunleye A, Okonofua F, Oni T, Onyimadu O, Pate M, Salako B, Shuaib F, Tsiga-Ahmed F, Zanna F. The Lancet Nigeria Commission: investing in health and the future of the nation. The Lancet 2022;399(10330):1155 View
  43. Nishimwe A, Conco D, Nyssen M, Ibisomi L. A mixed-method study exploring experiences, perceptions, and acceptability of using a safe delivery mHealth application in two district hospitals in Rwanda. BMC Nursing 2022;21(1) View
  44. Pagallo U, Durante M. The Good, the Bad, and the Invisible with Its Opportunity Costs: Introduction to the ‘J’ Special Issue on “the Impact of Artificial Intelligence on Law”. J 2022;5(1):139 View
  45. Shimpuku Y, Mwilike B, Mwakawanga D, Ito K, Hirose N, Kubota K, Munro-Kramer M. Development and pilot test of a smartphone app for midwifery care in Tanzania: A comparative cross-sectional study. PLOS ONE 2023;18(3):e0283808 View
  46. Chaney S, Mechael P. So Many Choices, How Do I Choose? Considerations for Selecting Digital Health Interventions to Support Immunization Confidence and Demand. Journal of Medical Internet Research 2023;25:e47713 View
  47. Campbell J, Aturinda I, Mwesigwa E, Habinka A, Kanyesigye M, Holden R, Siedner M, Kraemer J. Behavioral Predictors of Intention to Use a Text Messaging Reminder System Among People Living With HIV in Rural Uganda: Survey Study. JMIR Human Factors 2023;10:e42952 View
  48. Borges do Nascimento I, Abdulazeem H, Vasanthan L, Martinez E, Zucoloto M, Østengaard L, Azzopardi-Muscat N, Zapata T, Novillo-Ortiz D. Barriers and facilitators to utilizing digital health technologies by healthcare professionals. npj Digital Medicine 2023;6(1) View
  49. Galavi Z, Khajouei R. Proposing an initial model for the heuristic evaluation of mHealth applications. Informatics in Medicine Unlocked 2023;41:101322 View
  50. Aboye G, Vande Walle M, Simegn G, Aerts J. mHealth in Sub-Saharan Africa and Europe: Context of current health, healthcare status, and demographic structure. DIGITAL HEALTH 2023;9:205520762311784 View
  51. Coulibaly A, Kouanda S. Effects of the Pregnancy and Newborn Diagnostic Assessment (PANDA) App on Antenatal Care Quality in Burkina Faso: Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols 2023;12:e37136 View
  52. Haghparast-Bidgoli H, Hull-Bailey T, Nkhoma D, Chiyaka T, Wilson E, Fitzgerald F, Chimhini G, Khan N, Gannon H, Batura R, Cortina-Borja M, Larsson L, Chiume M, Sassoon Y, Chimhuya S, Heys M. Development and Pilot Implementation of Neotree, a Digital Quality Improvement Tool Designed to Improve Newborn Care and Survival in 3 Hospitals in Malawi and Zimbabwe: Cost Analysis Study. JMIR mHealth and uHealth 2023;11:e50467 View
  53. Borges do Nascimento I, Abdulazeem H, Vasanthan L, Martinez E, Zucoloto M, Østengaard L, Azzopardi-Muscat N, Zapata T, Novillo-Ortiz D. The global effect of digital health technologies on health workers’ competencies and health workplace: an umbrella review of systematic reviews and lexical-based and sentence-based meta-analysis. The Lancet Digital Health 2023;5(8):e534 View
  54. Olomi G, Cansdale L, Woodworth S, Manongi R, Mlay P, Yeates K, West N, Hirst J, Redman C, Mahande M, Mmbaga B, Khashan A. mHealth clinical decision-making tools for maternal and perinatal health care in Sub-Saharan Africa: A systematic review protocol. HRB Open Research 2023;6:68 View
  55. Pagallo U, O’Sullivan S, Nevejans N, Holzinger A, Friebe M, Jeanquartier F, Jean-Quartier C, Miernik A. The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations. Health and Technology 2024;14(1):1 View
  56. Horwood C, Haskins L, Mapumulo S, Connolly C, Luthuli S, Jensen C, Pansegrouw D, McKerrow N. Electronic Integrated Management of Childhood Illness (eIMCI): a randomized controlled trial to evaluate an electronic clinical decision-making support system for management of sick children in primary health care facilities in South Africa. BMC Health Services Research 2024;24(1) View
  57. Zhang Y, Stayt L, Sutherland S, Greenway K. How clinicians make decisions for patient management plans in telehealth. Journal of Advanced Nursing 2024 View
  58. Bene B, Ibeneme S, Fadahunsi K, Harri B, Ukor N, Mastellos N, Majeed A, Car J. Regulatory Standards and Guidance for the Use of Health Apps for Self-Management in Sub-Saharan Africa: Scoping Review. Journal of Medical Internet Research 2024;26:e49163 View
  59. Constantine A, Fantaye A, Buh A, Obegu P, Fournier K, Kasonde M, Jacobs C, Clementina P, Gobina R, Kibu O, Foretia D, Nkangu M, Yaya S, Fort A. Utilisation of mobile phone interventions to improve the delivery of maternal health services in sub-Saharan Africa: A scoping review protocol. PLOS ONE 2024;19(3):e0295437 View
  60. Osei E, Apiribu F, Kissi J, Asante L, Ampon-Wireko S, Mashamba-Thompson T, Koduah A. Healthcare workers’ perspectives on the availability and use of mobile health technologies for disease diagnosis and treatment support in the Ashanti Region of Ghana. PLOS ONE 2024;19(4):e0294802 View

Books/Policy Documents

  1. Seneviratne M, Peiris D. Revolutionizing Tropical Medicine. View
  2. Vayena E, Feretti A. Global Health. View
  3. Utulu S. Sustainable Development in Africa. View