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Citing this Article

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Published on 19.08.16 in Vol 18, No 8 (2016): August

This paper is in the following e-collection/theme issue:

Works citing "Effectiveness of mHealth Interventions Targeting Health Care Workers to Improve Pregnancy Outcomes in Low- and Middle-Income Countries: A Systematic Review"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5533):

(note that this is only a small subset of citations)

  1. Ilozumba O, Van Belle S, Dieleman M, Liem L, Choudhury M, Broerse JEW. The Effect of a Community Health Worker Utilized Mobile Health Application on Maternal Health Knowledge and Behavior: A Quasi-Experimental Study. Frontiers in Public Health 2018;6
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  2. Musabyimana A, Ruton H, Gaju E, Berhe A, Grépin KA, Ngenzi J, Nzabonimana E, Hategeka C, Law MR, Schnall R. Assessing the perspectives of users and beneficiaries of a community health worker mHealth tracking system for mothers and children in Rwanda. PLOS ONE 2018;13(6):e0198725
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  3. Modi D, Dholakia N, Gopalan R, Venkatraman S, Dave K, Shah S, Desai G, Qazi SA, Sinha A, Pandey RM, Anand A, Desai S, Shah P, Myers JE. mHealth intervention “ImTeCHO” to improve delivery of maternal, neonatal, and child care services—A cluster-randomized trial in tribal areas of Gujarat, India. PLOS Medicine 2019;16(10):e1002939
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  4. Adepoju IO, Albersen BJA, De Brouwere V, van Roosmalen J, Zweekhorst M. mHealth for Clinical Decision-Making in Sub-Saharan Africa: A Scoping Review. JMIR mHealth and uHealth 2017;5(3):e38
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  5. Cattaneo A, Amani A, Charpak N, De Leon-Mendoza S, Moxon S, Nimbalkar S, Tamburlini G, Villegas J, Bergh A. Report on an international workshop on kangaroo mother care: lessons learned and a vision for the future. BMC Pregnancy and Childbirth 2018;18(1)
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  6. Wagnew F, Dessie G, Alebel A, Mulugeta H, Belay YA, Abajobir AA. Does short message service improve focused antenatal care visit and skilled birth attendance? A systematic review and meta-analysis of randomized clinical trials. Reproductive Health 2018;15(1)
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  7. Swanson JO, Nathan RO, Swanson DL, Perez KM, Bresnahan BW, Mirza W, Goldenberg RL. Use of ultrasound and mHealth to improve perinatal outcomes in low and middle income countries. Seminars in Perinatology 2019;43(5):267
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  8. Salem A, Lacour O, Scaringella S, Herinianasolo J, Benski AC, Stancanelli G, Vassilakos P, Petignat P, Schmidt NC. Cross-sectional survey of knowledge of obstetric danger signs among women in rural Madagascar. BMC Pregnancy and Childbirth 2018;18(1)
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  9. Alam M, Banwell C, Lokuge K. The Effect of Women’s Differential Access to Messages on Their Adoption of Mobile Health Services and Pregnancy Behavior in Bangladesh: Retrospective Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(7):e17665
    CrossRef
  10. Burnett SM, Wun J, Evance I, Davis KM, Smith G, Lussiana C, Tesha G, Quao A, Martin T, Alombah F, Robertson M, Hamilton P. Introduction and Evaluation of an Electronic Tool for Improved Data Quality and Data Use during Malaria Case Management Supportive Supervision. The American Journal of Tropical Medicine and Hygiene 2019;100(4):889
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  11. Gopalakrishnan L, Buback L, Fernald L, Walker D, Diamond-Smith N, Gopichandran V. Using mHealth to improve health care delivery in India: A qualitative examination of the perspectives of community health workers and beneficiaries. PLOS ONE 2020;15(1):e0227451
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  12. Asanjarani F, Asgari M. Effects of a school-based program on Iranian students’ well-being. International Journal of School & Educational Psychology 2021;9(sup1):S103
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  13. Thompson S, Mercer MA, Hofstee M, Stover B, Vasconcelos P, Meyanathan S. Connecting mothers to care: Effectiveness and scale-up of an mHealth program in Timor-Leste. Journal of Global Health 2019;9(2)
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  14. Dol J, Richardson B, Tomblin Murphy G, Aston M, McMillan D, Campbell-Yeo M. Impact of mHealth interventions during the perinatal period on maternal psychosocial outcomes: a systematic review protocol. JBI Database of Systematic Reviews and Implementation Reports 2019;17(12):2491
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  15. Scott Kruse C, Karem P, Shifflett K, Vegi L, Ravi K, Brooks M. Evaluating barriers to adopting telemedicine worldwide: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):4
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  16. Manyati TK, Mutsau M. A systematic review of the factors that hinder the scale up of mobile health technologies in antenatal care programmes in sub-Saharan Africa. African Journal of Science, Technology, Innovation and Development 2021;13(1):125
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  17. Heponiemi T, Kujala S, Vainiomäki S, Vehko T, Lääveri T, Vänskä J, Ketola E, Puttonen S, Hyppönen H. Usability Factors Associated With Physicians’ Distress and Information System–Related Stress: Cross-Sectional Survey. JMIR Medical Informatics 2019;7(4):e13466
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  18. Agyepong IA, Kwamie A, Frimpong E, Defor S, Ibrahim A, Aryeetey GC, Lokossou V, Sombie I. Spanning maternal, newborn and child health (MNCH) and health systems research boundaries: conducive and limiting health systems factors to improving MNCH outcomes in West Africa. Health Research Policy and Systems 2017;15(S1)
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  19. Abejirinde IO, 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)
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  20. Amoakoh HB, Klipstein-Grobusch K, Grobbee DE, Amoakoh-Coleman M, Oduro-Mensah E, Sarpong C, Frimpong E, Kayode GA, Agyepong IA, Ansah EK. 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
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  21. Dol J, Richardson B, Murphy GT, Aston M, McMillan D, Campbell-Yeo M. Impact of mobile health interventions during the perinatal period on maternal psychosocial outcomes: a systematic review. JBI Evidence Synthesis 2020;18(1):30
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  22. Ilozumba O, Dieleman M, Van Belle S, Mukuru M, Bardají A, Broerse JE. Multistakeholder Perspectives on Maternal Text Messaging Intervention in Uganda: Qualitative Study. JMIR mHealth and uHealth 2018;6(5):e119
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  23. Haddad SM, Souza RT, Cecatti JG. Mobile technology in health (mHealth) and antenatal care–Searching for apps and available solutions: A systematic review. International Journal of Medical Informatics 2019;127:1
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  24. . The relevance of health literacy to mHealth. Information Services & Use 2017;37(2):123
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  25. Bolan NE, Newman SD, Nemeth LS. Technology-Based Newborn Health Learning Initiatives for Facility-Based Nurses and Midwives in Low- and Middle-Income Countries: A Scoping Review. International Journal of Childbirth 2018;8(4):252
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  26. Klokkenga CMB, Enemark U, Adanu R, Lund S, Sørensen BL, Attermann J, Akpak YK. The effect of smartphone training of Ghanaian midwives by the Safe Delivery application on the incidence of postpartum hemorrhage: A cluster randomised controlled trial. Cogent Medicine 2019;6(1):1632016
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  27. Xie R, Tan H, Taljaard M, Liao Y, Krewski D, Du Q, Wen SW. The Impact of a Maternal Education Program Through Text Messaging in Rural China: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(12):e11213
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  28. Schaeffer LE, Ahmed S, Rahman M, Whelan R, Rahman S, Roy AD, Nijhum TA, Bably NN, D’Couto H, Hudelson C, Jaben IA, Rubayet S, Baqui A, Lee AC. Development and evaluation of a mobile application for case management of small and sick newborns in Bangladesh. BMC Medical Informatics and Decision Making 2019;19(1)
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  29. Kawakyu N, Nduati R, Munguambe K, Coutinho J, Mburu N, DeCastro G, Inguane C, Zunt A, Abburi N, Sherr K, Gimbel S. Development and Implementation of a Mobile Phone–Based Prevention of Mother-To-Child Transmission of HIV Cascade Analysis Tool: Usability and Feasibility Testing in Kenya and Mozambique. JMIR mHealth and uHealth 2019;7(5):e13963
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  30. Tang S, Ghose B, Hoque MR, Hao G, Yaya S. Women Using Mobile Phones for Health Communication Are More Likely to Use Prenatal and Postnatal Services in Bangladesh: Cross-Sectional Study. JMIR mHealth and uHealth 2019;7(2):e10645
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  31. van Heerden A, Sen D, Desmond C, Louw J, Richter L. App-Supported Promotion of Child Growth and Development by Community Health Workers in Kenya: Feasibility and Acceptability Study. JMIR mHealth and uHealth 2017;5(12):e182
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  32. McCool J, Dobson R, Whittaker R. Moving beyond the individual: mHealth tools for social change in low-resource settings. BMJ Global Health 2018;3(6):e001098
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  33. Duvendack M, Mader P. Impact of financial inclusion in low‐ and middle‐income countries: A systematic review of reviews. Campbell Systematic Reviews 2019;15(1-2)
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  34. Early J, Gonzalez C, Gordon-Dseagu V, Robles-Calderon L. Use of Mobile Health (mHealth) Technologies and Interventions Among Community Health Workers Globally: A Scoping Review. Health Promotion Practice 2019;20(6):805
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  35. Duvendack M, Mader P. PROTOCOL: Impact of financial inclusion in low‐ and middle‐income countries: a systematic review of reviews. Campbell Systematic Reviews 2018;14(1):1
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  36. Murthy N, Chandrasekharan S, Prakash MP, Ganju A, Peter J, Kaonga N, Mechael P. Effects of an mHealth voice message service (mMitra) on maternal health knowledge and practices of low-income women in India: findings from a pseudo-randomized controlled trial. BMC Public Health 2020;20(1)
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  37. Badakhsh M, Hastings-Tolsma M, Firouzkohi M, Amirshahi M, Hashemi ZS. The lived experience of women with a high-risk pregnancy: A phenomenology investigation. Midwifery 2020;82:102625
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  38. Boyce SP, Nyangara F, Kamunyori J. A mixed-methods quasi-experimental evaluation of a mobile health application and quality of care in the integrated community case management program in Malawi. Journal of Global Health 2019;9(1)
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  39. Carter J, Sandall J, Shennan AH, Tribe RM. Mobile phone apps for clinical decision support in pregnancy: a scoping review. BMC Medical Informatics and Decision Making 2019;19(1)
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  40. Ward VC, Raheel H, Weng Y, Mehta KM, Dutt P, Mitra R, Sastry P, Godfrey A, Shannon M, Chamberlain S, Kaimal R, Carmichael SL, Bentley J, Abdalla S, Pepper KT, Mahapatra T, Srikantiah S, Borkum E, Rangarajan A, Sridharan S, Rotz D, Nanda P, Tarigopula UK, Atmavilas Y, Bhattacharya D, Darmstadt GL. Impact of mHealth interventions for reproductive, maternal, newborn and child health and nutrition at scale: BBC Media Action and the Ananya program in Bihar, India. Journal of Global Health 2020;10(2)
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  41. Saran A, White H, Albright K, Adona J. Mega‐map of systematic reviews and evidence and gap maps on the interventions to improve child well‐being in low‐ and middle‐income countries. Campbell Systematic Reviews 2020;16(4)
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  42. Nishimwe A, Ibisomi L, Nyssen M, Conco DN. The effect of an mLearning application on nurses’ and midwives’ knowledge and skills for the management of postpartum hemorrhage and neonatal resuscitation: pre–post intervention study. Human Resources for Health 2021;19(1)
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  43. Torres Silva EA, Uribe S, Smith J, Luna Gomez IF, Florez-Arango JF. XML Data and Knowledge-Encoding Structure for a Web-Based and Mobile Antenatal Clinical Decision Support System: Development Study. JMIR Formative Research 2020;4(10):e17512
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  44. ÜNLÜ G, GÜNGÖR . ANTENATAL DÖNEMDE MOBİL SAĞLIK HİZMETLERİ. İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi 2020;8(3):919
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  45. Usmanova G, Gresh A, Cohen MA, Kim Y, Srivastava A, Joshi CS, Bhatt DC, Haws R, Wadhwa R, Sridhar P, Bahl N, Gaikwad P, Anderson J. Acceptability and Barriers to Use of the ASMAN Provider-Facing Electronic Platform for Peripartum Care in Public Facilities in Madhya Pradesh and Rajasthan, India: A Qualitative Study Using the Technology Acceptance Model-3. International Journal of Environmental Research and Public Health 2020;17(22):8333
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  46. Iyawa GE, Dansharif AR, Khan A. Mobile apps for self-management in pregnancy: a systematic review. Health and Technology 2021;11(2):283
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  47. Chawla D, Thukral A, Kumar P, Deorari A. Harnessing mobile technology to deliver evidence-based maternal-infant care. Seminars in Fetal and Neonatal Medicine 2021;26(1):101206
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  48. Kirk K, McClair TL, Dakouo SP, Abuya T, Sripad P. Introduction of digital reporting platform to integrate community-level data into health information systems is feasible and acceptable among various community health stakeholders: A mixed-methods pilot study in Mopti, Mali. Journal of Global Health 2021;11
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  49. Kabongo EM, Mukumbang FC, Delobelle P, Nicol E. Explaining the impact of mHealth on maternal and child health care in low- and middle-income countries: a realist synthesis. BMC Pregnancy and Childbirth 2021;21(1)
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  50. Weichelt B, VanWormer J, Xu Y, Kadolph C, Lin S. Lessons Learned from Development of a Mobile App for Cardiovascular Health Awareness. Sustainability 2021;13(11):5985
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  51. Rinawan FR, Susanti AI, Amelia I, Ardisasmita MN, Widarti , Dewi RK, Ferdian D, Purnama WG, Purbasari A. Understanding mobile application development and implementation for monitoring Posyandu data in Indonesia: a 3-year hybrid action study to build “a bridge” from the community to the national scale. BMC Public Health 2021;21(1)
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  52. Koçak V, Ege E, İyisoy MS. The development of the postpartum mobile support application and the effect of the application on mothers' anxiety and depression symptoms. Archives of Psychiatric Nursing 2021;35(5):441
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  53. Kirk K, McClair TL, Dakouo SP, Abuya T, Sripad P. L’introduction d’une plate-forme de rapport numérique pour intégrer les données communautaires dans les systèmes d’information sanitaire est faisable et acceptable par les différents acteurs de la santé communautaire; une étude pilote à méthodes mixtes à Mopti, au Mali. Journal of Global Health 2021;11
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  54. Blennerhassett A, Dunlop C, Lissauer D. Clinical management of deviations in maternal temperature during labour and childbirth: an evidence‐based intrapartum care algorithm. BJOG: An International Journal of Obstetrics & Gynaecology 2022;
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  55. Muthelo L, Mbombi MO, Bopape MA, Mothiba TM, Densmore M, van Heerden A, Norris SA, Dias NV, Griffiths P, Mackintosh N. Reflections on Digital Maternal and Child Health Support for Mothers and Community Health Workers in Rural Areas of Limpopo Province, South Africa. International Journal of Environmental Research and Public Health 2023;20(3):1842
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  56. Stocks J, Choi Y, Ibrahim S, Huchko M. Iterative Development of a Mobile Phone App to Support Community Health Volunteers During Cervical Cancer Screening in Western Kenya: Qualitative Study. JMIR Formative Research 2022;6(2):e27501
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  57. Rahman MO, Yamaji N, Nagamatsu Y, Ota E. Effects of mHealth Interventions on Improving Antenatal Care Visits and Skilled Delivery Care in Low- and Middle-Income Countries: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2022;24(4):e34061
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  58. Gai Tobe R, Haque SE, Mubassara S, Rahman R, Ikegami K, Mori R, Soofi SB. Maternal and child health handbook to improve continuum of maternal and child care in rural Bangladesh: Findings of a cluster randomized controlled trial. PLOS ONE 2022;17(4):e0266074
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  59. Phagdol T, Nayak BS, Lewis LE, Margaret B, George A. Designing a mobile health intervention for preterm home care: Application of conceptual framework. Public Health Nursing 2022;39(1):296
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  60. Rahman MO, Yamaji N, Sasayama K, Yoneoka D, Ota E. Technology‐based innovative healthcare solutions for improving maternal and child health outcomes in low‐ and middle‐income countries: A network meta‐analysis protocol. Nursing Open 2023;10(1):367
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  61. Bucher SL, Cardellichio P, Muinga N, Patterson JK, Thukral A, Deorari AK, Data S, Umoren R, Purkayastha S. Digital Health Innovations, Tools, and Resources to Support Helping Babies Survive Programs. Pediatrics 2020;146(Supplement_2):S165
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  62. Shorey S, Loh DNL, Chan V, Chua C, Choolani MA. Parents’ perceptions of antenatal educational programs: A meta-synthesis. Midwifery 2022;113:103432
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  63. Bhattacharjya S, Lenker J, Ghosh R. Assessing the usefulness of an mHealth strategy to support implementation of multi-faceted adaptive feeding interventions by community-based rehabilitation workers. Assistive Technology 2023;35(3):228
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  64. Basu S, Rajeev A, Garg S, Singh M. Effect of a text-messaging intervention on oral self-care practices in antenatal women in Delhi, India: A pilot randomized control trial. Indian Journal of Community Medicine 2022;47(1):133
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  65. Balogun MR, Boateng GO, Adams YJ, Ransome-Kuti B, Sekoni A, Adams EA. Using mobile phones to promote maternal and child health: knowledge and attitudes of primary health care providers in southwest Nigeria. Journal of Global Health Reports 2020;4
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  66. Laar AS, Harris ML, Shifti DM, Loxton D. Perspectives of health care professionals’ on delivering mHealth sexual and reproductive health services in rural settings in low-and-middle-income countries: a qualitative systematic review. BMC Health Services Research 2022;22(1)
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  67. Hasan N, Sultana R, Bao Y. Re-Conceptualizing the Drivers Toward mHealth Adoption in a Least Developing Country: A Qualitative Exploration. SAGE Open 2022;12(2):215824402210917
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  68. Mohan S, Chaudhry M, McCarthy O, Jarhyan P, Calvert C, Jindal D, Shakya R, Radovich E, Kondal D, Penn-Kekana L, Basany K, Roy A, Tandon N, Shrestha A, Karmacharya B, Cairns J, Perel P, Campbell OMR, Prabhakaran D. A cluster randomized controlled trial of an electronic decision-support system to enhance antenatal care services in pregnancy at primary healthcare level in Telangana, India: trial protocol. BMC Pregnancy and Childbirth 2023;23(1)
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  69. Scott K, Ummer O, Chamberlain S, Sharma M, Gharai D, Mishra B, Choudhury N, LeFevre AE. ’[We] learned how to speak with love’: a qualitative exploration of accredited social health activist (ASHA) community health worker experiences of the Mobile Academy refresher training in Rajasthan, India. BMJ Open 2022;12(6):e050363
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  72. Clouse K, Noholoza S, Ngcobo N, Madwayi S, Mrubata M, Camlin CS, Myer L, Phillips TK. Cohort profile: CareConekta: a pilot study of a smartphone application to improve engagement in postpartum HIV care in South Africa. BMJ Open 2022;12(11):e064946
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  2. Adusei-Mensah F, Oduro KJ, Ofosu-Budu D. Advancements in Bio-Medical Image Processing and Authentication in Telemedicine. 2023. chapter 15:299
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