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The use and impact of mHealth by community health workers in developing and least developed countries: a systematic review

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Abstract

Purpose

In places without adequate health facilities, community health workers (CHWs) are employed by local governments to help families with health promotion activities. However, amidst the difficulties, mobile health applications (mHealth) are being increasingly developed in order to facilitate the work of the CHW. This work is a systematic review (SR) of the use of mHealth and the impact it has had so far in improving the health system and service delivery by the CHWs.

Method

This SR was based on the 27 PRISMA recommendations. We used the PICOS tool to specify the components of this review (eligibility criteria, keywords, etc.) and the StArt software to organize and control the articles exported from digital databases (PubMed, SciELO, etc.) from 2009 to 2019. The studies accepted for reading in their entirety underwent an analysis of their risk of bias, through the Cochrane risk of bias tool.

Results

The studies showed that mobile health intervention has a strong link with health care, mainly in the provision of community care services, maternal and child health care, sexual diseases, and infectious diseases, among others. This happens especially in rural or other areas of difficult access, such as countries in Africa, which occupies 61% of selected articles. However, it is believed that these applications have great potential and could help CHWs provide better disease prevention care.

Conclusion

The use of mHealth by CHWs has become typical in many regions of the world and is believed to have the potential to improve health service delivery in hard-to-reach or resource-limited settings.

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References

  • Andreatta P, Debpuur D, Danquah A, Perosky J. Using cell phones to collect postpartum hemorrhage outcome data in rural Ghana. Int J Gynecol Obstet. 2011;113(2):148–51.

    Article  Google Scholar 

  • Aranda-Jan CB, Mohutsiwa-Dibe N, Loukanova S. Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa. BMC Public Health BioMed Central. 2014;14(1):188.

    Article  Google Scholar 

  • Bastawrous A, Rono H, Livingstone IAT, Weiss HA, Jordan S, Kuper H, et al. The development and validation of a smartphone visual acuity test (peek acuity) for clinical practice and community-based fieldwork. JAMA Ophthalmol. 2015;133(8):930–7.

    Article  Google Scholar 

  • Biemba G, Chiluba B, Yeboah-Antwi K, Silavwe V, Lunze K, Mwale RK, et al. A mobile-based community health management information system for community health workers and their supervisors in 2 districts of Zambia. Glob Heal Sci Pract. 2017;5(3):486–94.

    Article  Google Scholar 

  • Birur N, Gurushanth K, Patrick S, Sunny S, Raghavan S, Gurudath S, et al. Role of community health worker in a mobile health program for early detection of oral cancer. Indian J Cancer Wolters Kluwer Medknow Publications. 2019;56(2):107–13.

    Article  Google Scholar 

  • Bonnell S, Griggs A, Avila G, Mack J, Bush RA, Vignato J, et al. Community health workers and use of mHealth: improving identification of pregnancy complications and access to care in the Dominican Republic. Health Promot Pract United States. 2018;19(3):331–40.

  • Braun R, Catalani C, Wimbush J, Israelski D. Community health workers and mobile technology: a systematic review of the literature. PLoS One Public Library of Science. 2013;8(6):e65772.

    Article  Google Scholar 

  • Braun R, Lasway C, Agarwal S, L’Engle K, Layer E, Silas L, et al. An evaluation of a family planning mobile job aid for community health workers in Tanzania. Contraception United States. 2016;94(1):27–33.

    Article  Google Scholar 

  • Buss PM. Promoção da saúde e qualidade de vida. Cien Saude Colet.ABRASCO - Associação Brasileira de Saúde Coletiva. 2000;5(1):163–77.

    Article  MathSciNet  Google Scholar 

  • Campbell N, Schiffer E, Buxbaum A, McLean E, Perry C, Sullivan TM. Taking knowledge for health the extra mile: participatory evaluation of a mobile phone intervention for community health workers in Malawi. Glob Heal Sci Pract. 2014;2(1):23–34.

    Article  Google Scholar 

  • Chang LW, Kagaayi J, Arem H, Nakigozi G, Ssempijja V, Serwadda D, et al. Impact of a mHealth intervention for peer health workers on AIDS care in rural Uganda: a mixed methods evaluation of a cluster-randomized trial. AIDS Behav. 2011;15(8):1776–84.

  • Chang LW, Njie-Carr V, Kalenge S, Kelly JF, Bollinger RC, Alamo-Talisuna S. Perceptions and acceptability of mHealth interventions for improving patient care at a community-based HIV/AIDS clinic in Uganda: a mixed methods study. AIDS Care. 2013;25(7):874–80.

    Article  Google Scholar 

  • Chen Y, Yang K, Jing T, Tian J, Shen X, Xie C, et al. Use of text messages to communicate clinical recommendations to health workers in rural China: a cluster-randomized trial. Bull World Health Organ. SciELO Public Health. 2014;92:474–81.

    Article  Google Scholar 

  • Cherrington AL, Agne AA, Lampkin Y, Birl A, Shelton TC, Guzman A, et al. Diabetes connect: developing a mobile health intervention to link diabetes community health workers with primary care. J Ambul Care Manage United States. 2015;38(4):333–45.

  • Cipriano FG, Ferreira LP. Queixas de voz em agentes comunitários de saúde: correlação entre problemas gerais de saúde, hábitos de Vida e aspectos vocais TT - voice complaints in community health agents: correlation between general health problems, lifestyle habits and vocal aspec. Rev Soc Bras Fonoaudiol. 2011;16(2):132–9.

    Article  Google Scholar 

  • Duarte LR, Silva DSJR d, Cardoso SH. Construindo um programa de educação com agentes comunitários de saúde. Interface - Comun Saúde, Educ. 2007;11(23):439–47.

    Article  Google Scholar 

  • Fabbri S, Ferrari F, Vincenzi AMR, Di Thommazo A. State of the Art through Systematic Review (StArt). Versão 3.0.3 [software]. Laboratório de pesquisa em Engenharia de Software da Universidade Federal de São Carlos [Internet]. Versão 3.0.3; 2010 [cited 2018 Mar 10]. Available from: http://lapes.dc.ufscar.br/tools/start_tool

  • Florez-Arango JF, Iyengar MS, Dunn K, Zhang J. Performance factors of mobile rich media job aids for community health workers. J Am Med Inform Assoc BMA House, Tavistock Square, London, WC1H 9JR: BMJ Group. 2011;18(2):131–7.

    Article  Google Scholar 

  • Fotso JC, Bellhouse L, Vesel L, Jezman Z. Strengthening the home-to-facility continuum of newborn and child health care through mHealth: evidence from an intervention in rural Malawi. Etude la Popul Africaine African Population Studies. 2015;29(1):1663.

    Article  Google Scholar 

  • Galvão TF, Pansani T d SA, Harrad D. Principais itens para relatar Revisões sistemáticas e meta-análises: a recomendação PRISMA. Epidemiol e Serviços Saúde. SciELO Public Health. 2015;24:335–42.

    Article  Google Scholar 

  • Gatuha G, Jiang T. KenVACS: Improving Vaccination of children through cellular network technology in developing countries.(Report). Interdiscip J Inf Knowl Manag. 2015;10:37.

    Google Scholar 

  • Ginsburg OM, Chowdhury M, Wu W, Chowdhury MTI, Pal BC, Hasan R, et al. An mHealth model to increase clinic attendance for breast symptoms in rural Bangladesh: can bridging the digital divide help close the cancer divide? Oncologist Alphamed Press. 2014;19(2):177–85.

  • Gisore P, Shipala E, Otieno K, Rono B, Marete I, Tenge C, et al. Community based weighing of newborns and use of mobile phones by village elders in rural settings in Kenya: a decentralised approach to health care provision. BMC Pregnancy Childbirth BioMed Central. 2012;12(1):15.

  • Gurman TA, Rubin SE, Roess AA. Effectiveness of mHealth behavior change communication interventions in developing countries: a systematic review of the literature. J Health Commun. 2012;17:82–104.

    Article  Google Scholar 

  • Haberer JE, Kiwanuka J, Nansera D, Wilson IB, Bangsberg DR. Challenges in using mobile phones for collection of antiretroviral therapy adherence data in a resource-limited setting. AIDS Behav. 2010;14(6):1294–301.

    Article  Google Scholar 

  • Hackett K, Kazemi M, Lafleur C, Nyella P, Godfrey L, Sellen D. It makes you someone who changes with the times’: health worker and client perspectives on a smartphone-based counselling application deployed in rural Tanzania. Health Policy Plan Oxford University Press. 2019;34(4):307–15.

    Article  Google Scholar 

  • Hamainza B, Killeen GF, Kamuliwo M, Bennett A, Yukich JO. Comparison of a mobile phone-based malaria reporting system with source participant register data for capturing spatial and temporal trends in epidemiological indicators of malaria transmission collected by community health workers in rural Zambia. Malar J BioMed Central. 2014;13(1):489.

    Google Scholar 

  • Higgins JPT, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. British Medical Journal Publishing Group. 2011;343:d5928.

    Article  Google Scholar 

  • Hoffman JA, Cunningham JR, Suleh AJ, Sundsmo A, Dekker D, Vago F, et al. Mobile direct observation treatment for tuberculosis patients. Am J Prev Med Elsevier. 2010;39(1):78–80.

  • Ilozumba O, Dieleman M, Kraamwinkel N, Van Belle S, Chaudoury M, Broerse JEW. “I am not telling. The mobile is telling”: factors influencing the outcomes of a community health worker mHealth intervention in India. PLoS One United States. 2018;13(3):e0194927.

    Article  Google Scholar 

  • International Organization for Standardization. ISO/IEC 25010–2011. systems and software engineering - Systems and software Quality Requirements and Evaluation (SQuaRE) - System and software quality models. 2011.

  • Jennings L, Ong’ech J, Simiyu R, Sirengo M, Kassaye S. Exploring the use of mobile phone technology for the enhancement of the prevention of mother-to-child transmission of HIV program in Nyanza, Kenya: a qualitative study. BMC Public Health BioMed Central. 2013;13(1):1131.

    Article  Google Scholar 

  • Jones COH, Wasunna B, Sudoi R, Githinji S, Snow RW, Zurovac D. “Even if you know everything you can forget”: health worker perceptions of mobile phone text-messaging to improve malaria case-management in Kenya. Shiff C, editor. PLoS One. San Francisco, USA: Public Library of Science. 2012;7(6):e38636.

    Article  Google Scholar 

  • Joos O, Silva R, Amouzou A, Moulton LH, Perin J, Bryce J, et al. Evaluation of a mHealth data quality intervention to improve documentation of pregnancy outcomes by health surveillance assistants in Malawi: a cluster randomized trial. PLoS One. Public Library of Science. 2016;11(1):e0145238.

  • Kabakyenga J, Barigye C, Brenner J, Maling S, Buchner D, Nettle-Aquirre A, et al. A demonstration of mobile phone deployment to support the treatment of acutely ill children under five in Bushenyi district, Uganda. Afr Health Sci. Makerere University Medical School (Uganda). 2016;16(1):89–96.

    Article  Google Scholar 

  • Kallander K, Strachan D, Soremekun S, Hill Z, Lingam R, Tibenderana J, et al. Evaluating the effect of innovative motivation and supervision approaches on community health worker performance and retention in Uganda and Mozambique: study protocol for a randomised controlled trial. Trials England. 2015;16:157.

    Article  Google Scholar 

  • Kaphle S, Chaturvedi S, Chaudhuri I, Krishnan R, Lesh N. Adoption and usage of mHealth technology on quality and experience of care provided by frontline workers: observations from rural India. JMIR mHealth uHealth. 2015;3(2):e61.

    Article  Google Scholar 

  • Labrique AB, Vasudevan L, Kochi E, Fabricant R, Mehl G. mHealth innovations as health system strengthening tools: 12 common applications and a visual framework. Glob Heal Sci Pract. 2013;1(2):160–71.

    Article  Google Scholar 

  • Laktabai J, Platt A, Menya D, Turner EL, Aswa D, Kinoti S, et al. A mobile health technology platform for quality assurance and quality improvement of malaria diagnosis by community health workers. PLoS One United States. 2018;13(2):e0191968.

  • Lim S, Xue L, Yen CC, Chang L, Chan HC, Tai BC, et al. A study on Singaporean women’s acceptance of using mobile phones to seek health information. Int J Med Inform Elsevier. 2011;80(12):e189–202.

  • Lozano-Fuentes S, Wedyan F, Hernandez-Garcia E, Sadhu D, Ghosh S, Bieman JM, et al. Cell phone-based system (Chaak) for surveillance of immatures of dengue virus mosquito vectors. J Med Entomol. Oxford University press Oxford, UK. 2013;50(4):879–89.

    Article  Google Scholar 

  • Maleka BK, Van Der Linde J, Glascoe FP, Swanepoel DW. Developmental screening—evaluation of an m-health version of the parents evaluation developmental status tools. Telemed e-Health. Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA. 2016;22(12):1013–8.

    Article  Google Scholar 

  • Mannik J, Figol A, Churchill V, Aw J, Francis S, Karino E, et al. Community-based screening for cardiovascular risk using a novel mHealth tool in rural Kenya. J Innov Heal informatics England. 2018;25(3):176–82.

    Google Scholar 

  • Marcolino MS, Oliveira JAQ, D’Agostino M, Ribeiro AL, Alkmim MBM, Novillo-Ortiz D. The impact of mHealth interventions: systematic review of systematic reviews. JMIR mHealth uHealth. JMIR Publications. 2018:e23.

  • Mc Kenna P, Babughirana G, Amponsah M, Egoeh SG, Banura E, Kanwagi R, et al. Mobile training and support (MOTS) service—using technology to increase ebola preparedness of remotely-located community health workers (CHWs) in Sierra Leone. mHealth. AME Publishing Company. 2019;5:35–5.

  • Medhanyie AA, Moser A, Spigt M, Yebyo H, Little A, Dinant G, et al. Mobile health data collection at primary health care in Ethiopia: a feasible challenge. J Clin Epidemiol. 2015;68(1):80–6.

  • Meyers DJ, Ozonoff A, Baruwal A, Pande S, Harsha A, Sharma R, et al. Combining healthcare-based and participatory approaches to surveillance: trends in diarrheal and respiratory conditions collected by a mobile phone system by community health workers in rural Nepal. PLoS One Public Library of Science. 2016;11(4):e0152738.

  • Modi D, Gopalan R, Shah S, Venkatraman S, Desai G, Desai S, et al. Development and formative evaluation of an innovative mHealth intervention for improving coverage of community-based maternal, newborn and child health services in rural areas of India. Glob Health Action Taylor & Francis. 2015;8(1):26769.

  • Musabyimana A, Ruton H, Gaju E, Berhe A, Grepin KA, Ngenzi J, et al. Assessing the perspectives of users and beneficiaries of a community health worker mHealth tracking system for mothers and children in Rwanda. PLoS One United States. 2018;13(6):e0198725.

    Article  Google Scholar 

  • Mushamiri I, Luo C, Iiams-Hauser C, Amor YB. Evaluation of the impact of a mobile health system on adherence to antenatal and postnatal care and prevention of mother-to-child transmission of HIV programs in Kenya. BMC Public Health. BioMed Central. 2015;15(1):102.

    Article  Google Scholar 

  • Nascimento EPL, Correa CR d S. O agente comunitário de saúde: formação, inserção e práticas. Cad Saude Publica SciELO Public Health. 2008;24:1304–13.

    Article  Google Scholar 

  • Neupane S, Odendaal W, Friedman I, Jassat W, Schneider H, Doherty T. Comparing a paper based monitoring and evaluation system to a mHealth system to support the national community health worker programme, South Africa: an evaluation. BMC Med Inform Decis Mak BioMed Central Ltd. 2014;14(1):69.

    Article  Google Scholar 

  • Ngabo F, Nguimfack J, Nwaigwe F, Mugeni C, Muhoza D, Wilson DR, et al. Designing and implementing an innovative SMS-based alert system (RapidSMS-MCH) to monitor pregnancy and reduce maternal and child deaths in Rwanda. Pan Afr Med J African Field Epidemiology Network. 2012:13.

  • Nielsen J, Budiu R. Usabilidade móvel. São Paulo: Elsevier; 2013.

    Google Scholar 

  • O’Donovan J, Kabali K, Taylor C, Chukhina M, Kading JC, Fuld J, et al. The use of low-cost android tablets to train community health workers in Mukono, Uganda, in the recognition, treatment and prevention of pneumonia in children under five: a pilot randomised controlled trial. Hum Resour Health England. 2018;16(1):49.

  • Oliveira MA d C, Pereira IC. Atributos essenciais da atenção primária e a estratégia saúde da família. Rev Bras Enferm. 2013;66(spe):158–64.

    Article  Google Scholar 

  • Palazuelos D, Diallo AB, Palazuelos L, Carlile N, Payne JD, Franke MF. User perceptions of an mHealth medicine dosing tool for community health workers. JMIR mHealth uHealth. 2013;1(1):e2.

    Article  Google Scholar 

  • Rajan JV, Moura J, Gourley G, Kiso K, Sizilio A, Cortez AM, et al. Understanding the barriers to successful adoption and use of a mobile health information system in a community health center in São Paulo, Brazil: a cohort study. BMC Med Inform Decis Mak. 2016;16.

  • Rajput ZA, Mbugua S, Amadi D, Chepnǵeno V, Saleem JJ, Anokwa Y, et al. Evaluation of an Android-based mHealth system for population surveillance in developing countries. J Am Med Inform Assoc BMA House, Tavistock Square, London, WC1H 9JR: BMJ Group. 2012;19(4):655–9.

    Article  Google Scholar 

  • Ramachandran D, Goswami V, Canny J. Research and reality : using mobile messages to promote maternal health in rural India. Proc 4th ACM/IEEE Int Conf Inf Commun Technol Dev. 2010;35.

  • Ramirez M, Wu S, Ryan G, Towfighi A, Vickrey BG. Using beta-version mhealth technology for team-based care management to support stroke prevention: an assessment of utility and challenges. JMIR Res Protoc Canada. 2017;6(5):e94.

    Article  Google Scholar 

  • Rotheram-Borus M-J, Richter L, Van Rooyen H, van Heerden A, Tomlinson M, Stein A, et al. Project Masihambisane: a cluster randomised controlled trial with peer mentors to improve outcomes for pregnant mothers living with HIV. Trials. 2011;12(1):2.

    Article  Google Scholar 

  • Sa JHG, Rebelo MS, Brentani A, Grisi SJFE, Iwaya LH, Simplicio MA Jr, et al. Georeferenced and secure mobile health system for large scale data collection in primary care. Int J Med Inform. Elsevier. 2016;94:91–9.

  • Santos CM d C, Pimenta CA d M, Nobre MRC. The PICO strategy for the research question construction and evidence search. Rev Lat Am Enfermagem. 2007;15(3):508–11.

    Article  Google Scholar 

  • Schaeffer LE, Ahmed S, Rahman M, Whelan R, Rahman S, Roy AD, et al. Development and evaluation of a mobile application for case management of small and sick newborns in Bangladesh. BMC Med Inform Decis Mak. BioMed Central Ltd. 2019;19(1):116.

    Article  Google Scholar 

  • Schoen J, Mallett JW, Grossman-Kahn R, Brentani A, Kaselitz E, Heisler M. Perspectives and experiences of community health workers in Brazilian primary care centers using m-health tools in home visits with community members. Hum Resour Health London: BioMed Central. 2017;15:71.

    Article  Google Scholar 

  • Schoenberger Y-M, Phillips J, Mohiuddin MO, McNees P, Scarinci I. Acceptability of delivering and accessing health information through text messaging among community health advisors. JMIR mHealth uHealth. JMIR Publications Inc. 2013;1(2).

  • Schuttner L, Sindano N, Theis M, Zue C, Joseph J, Chilengi R, et al. A mobile phone-based, community health worker program for referral, follow-up, and service outreach in rural Zambia: outcomes and overview. Telemed e-HEALTH Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA. 2014;20(8):721–8.

    Article  Google Scholar 

  • Shishido HY, Andrade RA d C, Eler GJ. mHealth data collector: an application to collect and report indicators for assessment of cardiometabolic risk. Nurs Informatics. 2014:425–32.

  • Sonderman KA, Nkurunziza T, Kateera F, Gruendl M, Koch R, Gaju E, et al. Using mobile health technology and community health workers to identify and refer caesarean-related surgical site infections in rural Rwanda: a randomised controlled trial protocol. BMJ Open England. 2018;8(5):e022214.

    Google Scholar 

  • Stanton MC, Mkwanda SZ, Debrah AY, Batsa L, Biritwum N-K, Hoerauf A, et al. Developing a community-led SMS reporting tool for the rapid assessment of lymphatic filariasis morbidity burden: case studies from Malawi and Ghana. BMC Infect Dis BioMed Central. 2015;15(1):214.

  • Stephani V, Opoku D, Quentin W. A systematic review of randomized controlled trials of mHealth interventions against non-communicable diseases in developing countries. BMC Public Health. BioMed Central Ltd. 2016:572.

  • Sterne JAC, Hernán MA, Reeves BC, Savović J, Berkman ND, Viswanathan M, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. bmj British Medical Journal Publishing Group. 2016;355:i4919.

    Google Scholar 

  • Surka S, Edirippulige S, Steyn K, Gaziano T, Puoane T, Levitt N. Evaluating the use of mobile phone technology to enhance cardiovascular disease screening by community health workers. Int J Med Inform Elsevier. 2014;83(9):648–54.

    Article  Google Scholar 

  • Tumusiime DK, Agaba G, Kyomuhangi T, Finch J, Kabakyenga J, MacLeod S. Introduction of mobile phones for use by volunteer community health workers in support of integrated community case management in Bushenyi District, Uganda: development and implementation process. BMC Health Serv Res BioMed Central. 2014;14(1):S2.

    Article  Google Scholar 

  • Vallieres F, McAuliffe E, van Bavel B, Wall PJ, Trye A. There’s no app for that: assessing the impact of mHealth on the supervision, motivation, engagement, and satisfaction of community health workers in Sierra Leone. Ann Glob Heal United States. 2016;82(5):936–49.

    Article  Google Scholar 

  • Varma DS, Hart M, McIntyre DS, Kwiatkowski E, Cottler LB. A research protocol to test the effectiveness of text messaging and reminder calls to increase service use referrals in a community engagement program. JMIR Res Protoc. JMIR Publications Inc. 2016;5(2).

  • Wai MFP, Carvalho AMP. O trabalho do agente comunitário de saúde: fatores de sobrecarga e estratégias de enfrentamento. Rev enferm UERJ. 2009;17(4):563–8.

    Google Scholar 

  • White A, Thomas DSK, Ezeanochie N, Bull S. Health worker mHealth utilization: a systematic review. Comput informatics, Nurs CIN NIH Public Access. 2016;34(5):206.

    Article  Google Scholar 

  • WHO. Primary health care: report of the international conference on primary health care, Alma-Ata, USSR, 6-12 September 1978. Geneva: World Health Organization; 1978.

    Google Scholar 

  • WHO. Classification of digital health interventions v 1.0 [Internet]. 2018 [cited 2019 Aug 18]. p. 20. Available from: http://who.int/reproductivehealth/topics/mhealth/en/.

  • Zakus D, Moussa M, Ezechiel M, Yimbesalu JP, Orkar P, Damecour C, et al. Clinical evaluation of the use of an mhealth intervention on quality of care provided by community health workers in southwest Niger. J Glob Health NLM (Medline). 2019;9(1):010812.

    Article  Google Scholar 

  • Zimmerman L, OlaOlorun F, Radloff S. Accelerating and improving survey implementation with mobile technology: lessons from PMA2020 implementation in Lagos, Nigeria. Etude La Popul Africaine. African Population Studies. 2015;29(1):1699.

    Article  Google Scholar 

  • Zurovac D, Sudoi RK, Akhwale WS, Ndiritu M, Hamer DH, Rowe AK, et al. The eff ect of mobile phone text-message reminders on Kenyan health workers ’ adherence to malaria treatment guidelines : a cluster randomised trial. Lancet Elsevier Ltd. 2011;378(9793):795–803.

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Acknowledgements

The authors are grateful to all contributors of this study, Coordination for the Improvement of Higher Education Personnel (CAPES), University of Mogi das Cruzes (UMC), and grant #2017/14016-7, São Paulo Research Foundation (FAPESP).

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  1. Technological Research Center, University of Mogi das Cruzes, Av. Dr. Cândido Xavier de Almeida e Souza, Mogi das Cruzes, São Paulo, 08780911, Brazil

    F. D. L. Abreu, M. A. S. Bissaco, A. P. Silva, S. R. M. S. Boschi, T. A. Scardovelli, M. F. Santos & S. C. Martini

  2. Service for HIV / Aids Patients SEAP, Hospital das Clínicas da Faculdade de Medicina da Universidade São Paulo, HC/FMUSP, Rua Ferreira de Araujo, 789, São Paulo, 05428-002, Brazil

    C. C. M. Rodrigues

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  1. F. D. L. Abreu
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Abreu, F.D.L., Bissaco, M.A.S., Silva, A.P. et al. The use and impact of mHealth by community health workers in developing and least developed countries: a systematic review. Res. Biomed. Eng. 37, 563–582 (2021). https://doi.org/10.1007/s42600-021-00154-3

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