Reducing provider workload while preserving patient safety via a two-way texting intervention in Zimbabwe's voluntary medical male circumcision program: study protocol for an un-blinded, prospective, non-inferiority, randomized controlled trial

Caryl Feldacker, Vernon Murenje, Scott Barnhart, Sinokuthemba Xaba, Batsirai Makunike-Chikwinya, Isaac Holeman, Mufuta Tshimanga, Caryl Feldacker, Vernon Murenje, Scott Barnhart, Sinokuthemba Xaba, Batsirai Makunike-Chikwinya, Isaac Holeman, Mufuta Tshimanga

Abstract

Background: Surgical male circumcision (MC) safely reduces risk of female-to-male HIV-1 transmission by up to 60%. The average rate of global moderate and severe adverse events (AEs) is 0.8%: 99% of men heal from MC without incident. To reach the 2016 global MC target of 20 million, productivity must double in countries plagued by severe healthcare worker shortages like Zimbabwe. The ZAZIC consortium partners with the Zimbabwe Ministry of Health and Child Care and has performed over 120,000 MCs. MC care in Zimbabwe requires in-person, follow-up visits at post-operative days 2,7, and 42. The ZAZIC program AE rate is 0.4%; therefore, overstretched clinic have staff conducted more than 200,000 unnecessary reviews of MC clients without complications.

Methods: Through an un-blinded, prospective, randomized, controlled trial in two high-volume MC facilities, we will compare two groups of adult MC clients with cell phones, randomized 1:1 into two groups: (1) routine care (control group, N = 361) and (2) clients who receive and respond to a daily text with in-person follow up only if desired or if a complication is suspected (intervention group, N = 361). If an intervention client responds affirmatively to any automated daily text with a suspected AE, an MC nurse will exchange manual, modifiable, scripted texts with the client to determine symptoms and severity, requesting an in-person visit if desired or warranted. Both arms will complete a study-specific, day 14, in-person, follow-up review for verification of self-reports (intervention) and comparison (control). Data collection includes extraction of routine client MC records, study-specific database reports, and participant usability surveys. Intent-to-treat (ITT) analysis will be used to explore differences between groups to determine if two-way texting (2wT) can safely reduce MC follow-up visits, estimate the cost savings associated with 2wT over routine MC follow up, and assess the acceptability and feasibility of 2wT for scale up.

Discussion: It is expected that this mobile health intervention will be as safe as routine care while providing distinct advantages in efficiency, costs, and reduced healthcare worker burden. The success of this intervention could lead to adaptation and adoption of this intervention at the national level, increasing the efficiency of MC scale up, and reducing burdens on providers and patients.

Trial registration: ClinicalTrials.gov, NCT03119337 . Registered on 18 April 2017.

Keywords: Healthcare delivery innovations; Mobile health; Post-operative follow-up; Voluntary medical male circumcision; Zimbabwe.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Two-way texting (2wT) nurse/patient interaction flow diagram. VMMC, voluntary medical male circumcision; AE, adverse event
Fig. 2
Fig. 2
Study implementation timeline. 2wT, two-way texting; KIIs, key informant interviews

References

    1. Gray RH, Kigozi G, Serwadda D, et al. Male circumcision for HIV prevention in men in Rakai, Uganda: a randomised trial. Lancet. 2007;369(9562):657–666. doi: 10.1016/S0140-6736(07)60313-4.
    1. Bailey RC, Moses S, Parker CB, et al. Male circumcision for HIV prevention in young men in Kisumu, Kenya: a randomised controlled trial. Lancet. 2007;369(9562):643–656. doi: 10.1016/S0140-6736(07)60312-2.
    1. Auvert B, Taljaard D, Lagarde E, et al. Randomized, controlled intervention trial of male circumcision for reduction of HIV infection risk: the ANRS 1265 Trial. PLoS Med. 2005;2(11):e298. doi: 10.1371/journal.pmed.0020298.
    1. World Health Organization. WHO progress brief: voluntary medical male circumcision for HIV prevention in 14 priority countries in East And Southern Africa 2015 March 1, 2016. Available from: . Accessed 1 Mar 2016.
    1. WHO U . Joint Strategic Action Framework to accelerate the scale-up of voluntary medical male circumcision for HIV prevention in Eastern and Southern Africa (2012–2016) Geneva: UNAIDS; 2011.
    1. Njeuhmeli E, Forsythe S, Reed J, et al. Voluntary medical male circumcision: modeling the impact and cost of expanding male circumcision for HIV prevention in eastern and southern Africa. PLoS Med. 2011;8(11):e1001132. doi: 10.1371/journal.pmed.1001132.
    1. World Health Organization. Considerations for implementing models for optimizing the volume and efficiency of male circumcision services2010 [cited 2014 June 1]; Field testing edition: February 2010 Available from: . Accessed 1 June 2014.
    1. World Health Organization. WHO Surgical Safety Checklist 2009 February 6, 2019. Available from: . Accessed 6 Feb 2019.
    1. President’s Emergency Plan for AIDS Relief. PEPFAR's best practices for voluntary medical male circumcision site operations: a service guide for site operations. 2013 May 2014. Available from: . Accessed May 2014.
    1. President's Emergency Plan for AIDS Relief . PEPFAR monitoring, evaluation, and reporting indicator reference guide. Washington DC: PEPFAR; 2015.
    1. Campbell J, Dussault G, Buchan J, et al. A universal truth: no health without a workforce. Geneva: World Health Organization; 2013.
    1. Phili Rogerio, Abdool-Karim Quarraisha, Ngesa Oscar. Low adverse event rates following voluntary medical male circumcision in a high HIV disease burden public sector prevention programme in South Africa. Journal of the International AIDS Society. 2014;17(1):19275. doi: 10.7448/IAS.17.1.19275.
    1. Reed J, Grund J, Liu Y, et al. Evaluation of loss-to-follow-up and post-operative adverse events in a voluntary medical male circumcision program in Nyanza Province, Kenya. J Acquir Immune Defic Syndr. 2015;69(1):e13–23.
    1. Lebina L, Taruberekera N, Milovanovic M, et al. Piloting PrePex for adult and adolescent male circumcision in South Africa - pain is an issue. PLoS One. 2015;10(9):e0138755. doi: 10.1371/journal.pone.0138755.
    1. Brito MO, Lerebours L, Volquez C, et al. A clinical trial to introduce voluntary medical male circumcision for HIV prevention in areas of high prevalence in the Dominican Republic. PLoS One. 2015;10(9):e0137376. doi: 10.1371/journal.pone.0137376.
    1. Kigozi G, Musoke R, Watya S, et al. The safety and acceptance of the PrePex device for non-surgical adult male circumcision in Rakai, Uganda. A non-randomized observational study. PLoS One. 2014;9(8):e100008. doi: 10.1371/journal.pone.0100008.
    1. Feldblum PJ, Odoyo-June E, Obiero W, et al. Safety, effectiveness and acceptability of the PrePex device for adult male circumcision in Kenya. PLoS One. 2014;9(5):e95357. doi: 10.1371/journal.pone.0095357.
    1. Ashengo TA, Grund J, Mhlanga M, et al. Feasibility and validity of telephone triage for adverse events during a voluntary medical male circumcision campaign in Swaziland. BMC Public Health. 2014;14:858. doi: 10.1186/1471-2458-14-858.
    1. Duffy K, Galukande M, Wooding N, et al. Reach and cost-effectiveness of the PrePex device for safe male circumcision in Uganda. PLoS One. 2013;8(5):e63134. doi: 10.1371/journal.pone.0063134.
    1. Herman-Roloff A, Bailey RC, Agot K. Factors associated with the safety of voluntary medical male circumcision in Nyanza province, Kenya. Bull World Health Organ. 2012;90(10):773–781. doi: 10.2471/BLT.12.106112.
    1. Kohler PK, Namate D, Barnhart S, et al. Classification and rates of adverse events in a Malawi male circumcision program: impact of quality improvement training. BMC Health Serv Res. 2016;16(1):61. doi: 10.1186/s12913-016-1305-x.
    1. World Health Organization Regional Office for Africa. Progress in scaling up voluntary medical male circumcision or HIV prevention in Est and Southern Africa January-December 2012 2013 October 27, 2014. Available from: . Accessed 27 Oct 2014.
    1. Centers for Disease Control and Prevention Voluntary medical male circumcision-southern and eastern Africa, 2010-2012. MMWR Morbidity and mortality weekly report. 2013;62(47):953.
    1. Lankowski AJ, Siedner MJ, Bangsberg DR, et al. Impact of geographic and transportation-related barriers on HIV outcomes in sub-Saharan Africa: a systematic review. AIDS Behav. 2014;18(7):1199–1223. doi: 10.1007/s10461-014-0729-8.
    1. Govindasamy Darshini, Meghij Jamilah, Negussi Eyerusalem Kebede, Baggaley Rachel Clare, Ford Nathan, Kranzer Katharina. Interventions to improve or facilitate linkage to or retention in pre-ART (HIV) care and initiation of ART in low- and middle-income settings - a systematic review. Journal of the International AIDS Society. 2014;17(1):19032. doi: 10.7448/IAS.17.1.19032.
    1. Mukherjee JS, Ivers L, Leandre F, et al. Antiretroviral therapy in resource-poor settings: decreasing barriers to access and promoting adherence. J Acquir Immune Defic Syndr. 2006;43:S123–S1S6. doi: 10.1097/01.qai.0000248348.25630.74.
    1. Tuller DM, Bangsberg DR, Senkungu J, et al. Transportation costs impede sustained adherence and access to HAART in a clinic population in southwestern Uganda: a qualitative study. AIDS Behav. 2010;14(4):778–784. doi: 10.1007/s10461-009-9533-2.
    1. Hardon AP, Akurut D, Comoro C, et al. Hunger, waiting time and transport costs: time to confront challenges to ART adherence in Africa. AIDS Care. 2007;19(5):658–665. doi: 10.1080/09540120701244943.
    1. Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32(1):56–69. doi: 10.1093/epirev/mxq004.
    1. U.S. Department of Health and Human Services. Health Resources and Services Administration. Using health text messages to improve consumer health knowledge, behaviors, and outcomes: an environmental scan. Rockville: U.S. Department of Health and Human Services; 2014. . Accessed 24 Mar 2015.
    1. Déglise C, Suggs LS, Odermatt P. SMS for disease control in developing countries: a systematic review of mobile health applications. J Telemed Telecare. 2012;18(5):273–281. doi: 10.1258/jtt.2012.110810.
    1. Odeny TA, Bailey RC, Bukusi EA, et al. Text messaging to improve attendance at post-operative clinic visits after adult male circumcision for HIV prevention: a randomized controlled trial. PLoS One. 2012;7(9):e43832. doi: 10.1371/journal.pone.0043832.
    1. Mbuagbaw L, Thabane L, Ongolo-Zogo P, et al. The Cameroon Mobile Phone SMS (CAMPS) trial: a randomized trial of text messaging versus usual care for adherence to antiretroviral therapy. PLoS One. 2012;7(12):e46909. doi: 10.1371/journal.pone.0046909.
    1. Pop-Eleches C, Thirumurthy H, Habyarimana JP, et al. Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS (London, England) 2011;25(6):825. doi: 10.1097/QAD.0b013e32834380c1.
    1. Kunutsor S, Walley J, Katabira E, et al. Using mobile phones to improve clinic attendance amongst an antiretroviral treatment cohort in rural Uganda: a cross-sectional and prospective study. AIDS Behav. 2010;14(6):1347–1352. doi: 10.1007/s10461-010-9780-2.
    1. Odeny TA, Bailey RC, Bukusi EA, et al. Effect of text messaging to deter early resumption of sexual activity after male circumcision for HIV prevention: a randomized controlled trial. J Acquired Immune Defic Syndr. 2014;65(2):e50. doi: 10.1097/QAI.0b013e3182a0a050.
    1. DeRenzi B, Findlater L, Payne J, Birnbaum B, Mangilima J, Parikh T, Borriello G, Lesh N. Improving community health worker performance through automated SMS. InProceedings of the Fifth International Conference on Information and Communication Technologies and Development. Atlanta: ACM; 2012. (pp. 25–34).
    1. Lester RT, Ritvo P, Mills EJ, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet. 2010;376(9755):1838–1845. doi: 10.1016/S0140-6736(10)61997-6.
    1. Perrier T, Dell N, DeRenzi B, Anderson R, Kinuthia J, Unger J, John-Stewart G. Engaging pregnant women in Kenya with a hybrid computer-human SMS communication system. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Seoul: ACM; 2015. pp. (1429–38).
    1. Holeman I, Evans J, Kane D, et al. Mobile health for cancer in low to middle income countries: priorities for research and development. Eur J Cancer Care. 2014;23(6):750–756. doi: 10.1111/ecc.12250.
    1. Mahmud N, Rodriguez J, Nesbit J. A text message-based intervention to bridge the healthcare communication gap in the rural developing world. Technol Health Care. 2010;18(2):137–144.
    1. Feldacker C, Makunike-Chikwinya B, Holec M, et al. Implementing voluntary medical male circumcision using an innovative, integrated, health systems approach: experiences from 21 districts in Zimbabwe. Glob Health Action. 2018;11(1):1414997. doi: 10.1080/16549716.2017.1414997.
    1. Bochner A, C F, B M, et al. Adverse event profile of a mature voluntary medical male circumcision progra mme performing PrePex and surgical procedures in Zimbabwe. J Int AIDS Soc. 2017;20:21394. doi: 10.7448/IAS.20.1.21394.
    1. President’s Emergency Plan for AIDS Relief . PEPFAR monitoring, evaluation, and reporting indicator reference guide. March 2015 ed. Washington DC: PEPFAR; 2015.
    1. Tomlinson Mark, Rotheram-Borus Mary Jane, Swartz Leslie, Tsai Alexander C. Scaling Up mHealth: Where Is the Evidence? PLoS Medicine. 2013;10(2):e1001382. doi: 10.1371/journal.pmed.1001382.
    1. DeRenzi B, Borriello G, Jackson J, et al. Mobile phone tools for field‐based health care workers in low‐income countries. Mt Sinai J Med. 2011;78(3):406–418. doi: 10.1002/msj.20256.
    1. Thirumurthy H, Lester RT. M-health for health behaviour change in resource-limited settings: applications to HIV care and beyond. Bull World Health Organ. 2012;90(5):390–392. doi: 10.2471/BLT.11.099317.
    1. Banks K, McDonald SM, Scialom F. Mobile technology and the last mile:“Reluctant innovation” and FrontlineSMS. Innovations. 2011;6(1):7–12. doi: 10.1162/INOV_a_00055.
    1. Jumreornvong O. New weapon in the war against AIDS: your mobile phone. Intersect Sci Technol Soc. 2014;7(1).
    1. Medic Mobile. Medic mobile for antenatal care: do-it-yourself toolkit: Medic Mobile; 2016 [Available from: .
    1. West D. How mobile devices are transforming healthcare. Issues in technology innovation. 2012;18:1):1–1)11.
    1. Pathak P. India vaccination pilot progress report. San Francisco: Medic Mobile; 2012.
    1. Medic Mobile. 2013 annual report. . Accessed 11 June 2019.
    1. Econet. Econet wireless tariffs (incl VAT) Harare, Zimbabwe2016 [Available from: .
    1. Feldacker Caryl, Bochner Aaron F., Murenje Vernon, Makunike-Chikwinya Batsirai, Holec Marrianne, Xaba Sinokuthemba, Balachandra Shirish, Mandisarisa John, Sidile-Chitimbire Vuyelwa, Barnhart Scott, Tshimanga Mufuta. Timing of adverse events among voluntary medical male circumcision clients: Implications from routine service delivery in Zimbabwe. PLOS ONE. 2018;13(9):e0203292. doi: 10.1371/journal.pone.0203292.
    1. D'Agostino RB, Massaro JM, Sullivan LM. Non-inferiority trials: design concepts and issues–the encounters of academic consultants in statistics. Stat Med. 2003;22(2):169–186. doi: 10.1002/sim.1425.
    1. Schumi J, Wittes JT. Through the looking glass: understanding non-inferiority. Trials. 2011;12(1):1. doi: 10.1186/1745-6215-12-106.
    1. World Health Organization . WHO Technical Advisory Group on Innovations in Male Circumcision: Evaluation of two adult devices: meeting report. Geneva: WHO; 2013.
    1. Byabagambi J, Kigonya A, Lawino A, et al. A guide to improving the quality of safe male circumcision in Uganda2015 [cited 2016 August 12]. Available from: .
    1. Zimbabwe Ministry of Health and Child Care. Accelerated strategic and operational plan 2014 – 2018. Harare: Zimbabwe Ministry of Health and Child Care; 2014.
    1. Driessen J, Cioffi M, Alide N, et al. Modeling return on investment for an electronic medical record system in Lilongwe, Malawi. J Am Med Inform Assoc. 2013;20(4):743–748. doi: 10.1136/amiajnl-2012-001242.
    1. Schutte C, Tshimanga M, Mugurungi O, et al. Comparative cost analysis of surgical and PrePex device male circumcision in Zimbabwe and Mozambique. J Acquired Immune Defic Syndr. 2016;72(Suppl 1):S96. doi: 10.1097/QAI.0000000000000797.
    1. Finkler SA, Knickman JR, Hendrickson G, et al. A comparison of work-sampling and time-and-motion techniques for studies in health services research. Health Serv Res. 1993;28(5):577.
    1. Were MC, Sutherland J, Bwana M, et al. Patterns of care in two HIV continuity clinics in Uganda, Africa: a time-motion study. AIDS Care. 2008;20(6):677–682. doi: 10.1080/09540120701687067.

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