Assessing the reach and effectiveness of mHealth: evidence from a reproductive health program for adolescent girls in Ghana

Slawa Rokicki, Günther Fink, Slawa Rokicki, Günther Fink

Abstract

Background: While mobile health (mHealth) programs are increasingly used to provide health information and deliver interventions, little is known regarding the relative reach and effectiveness of these programs across sociodemographic characteristics. We use data from a recent trial of a text-messaging intervention on adolescent sexual and reproductive health (SRH) to assess the degree to which mHealth programs reach target adolescent subpopulations who may be at higher risk of poor SRH outcomes.

Methods: The study was conducted among girls aged 14-24 in 22 secondary schools in Accra, Ghana. The mHealth intervention was an interactive mobile phone quiz in which participants could win phone credit for texting correct answers to SRH questions. We use detailed data on individuals' level of engagement with the program, SRH knowledge scores, and self-reported pregnancy collected as part of the original trial to assess the extent to which engagement and program impact vary across parental education, sexual experience, SRH knowledge deficit, and parental support.

Results: Eighty-one percent of participants engaged with the mHealth program, with no evidence that the program disproportionally reached better-off groups. The program was effective at increasing knowledge of SRH across all strata. Higher levels of engagement were associated with higher knowledge scores up to year later. There was no significant impact of the program on self-reported pregnancy within subgroups.

Conclusion: mHealth programs for adolescents have the potential to engage and increase SRH knowledge of adolescent girls across sociodemographic strata, including those who may be at higher risk of poor SRH outcomes.

Trial registration: ClinicalTrials.gov NCT02031575 . Registered 07 Jan 2014.

Keywords: Adolescent health; Health promotion; Mobile health; SMS; Sexual and reproductive health; Text messaging.

Conflict of interest statement

Ethics approval and consent to participate

Participants gave written consent; those aged younger than 18 years obtained parental consent. IRB approval was granted by Harvard University [#FWA00004837] as well as locally by the Ghana Health Service (GHS-ERC:05/09/13).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Average difference in knowledge z-score between intervention and control groups, at 3 months (left) and 15 months (right), as a function of number of responses to text message quiz questions (uses intervention and control groups, N = 498)
Fig. 2
Fig. 2
Difference in knowledge z-score for intervention group compared to the control group at 3 and 15 months, stratified by target subgroups (uses intervention and control groups, N = 498)
Fig. 3
Fig. 3
Distribution of number of responses

References

    1. World Bank. The little data book on information and communication technology 2015. Washington D.C.: World Bank; 2016. Available from: doi:10.1596/978–1–4648-0558-5
    1. 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. 2014;14:188. doi: 10.1186/1471-2458-14-188.
    1. 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. doi: 10.1080/10810730.2011.649160.
    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;90:390–392. doi: 10.2471/BLT.11.099317.
    1. Rokicki S, Cohen J, Salomon JA, Fink G. Impact of a text-messaging program on adolescent reproductive health: a cluster–randomized trial in Ghana. Am J Public Health. 2016;107:298–305. doi: 10.2105/AJPH.2016.303562.
    1. Vahdat HL, L’Engle KL, Plourde KF, Magaria L, Olawo A. There are some questions you may not ask in a clinic: providing contraception information to young people in Kenya using SMS. Int J Gynecol Obstet. 2013;123:e2–e6. doi: 10.1016/j.ijgo.2013.07.009.
    1. Mitchell KJ, Bull S, Kiwanuka J, Ybarra ML. Cell phone usage among adolescents in Uganda: acceptability for relaying health information. Health Educ Res. 2011;26:770–781. doi: 10.1093/her/cyr022.
    1. Gonsalves L, L’Engle KL, Tamrat T, Plourde KF, Mangone ER, Agarwal S, et al. Adolescent/youth reproductive mobile access and delivery initiative for love and life outcomes (ARMADILLO) study: formative protocol for mHealth platform development and piloting. Reprod Health. 2015;12:67. doi: 10.1186/s12978-015-0059-y.
    1. Chib A, Wilkin H, Ling LX, Hoefman B, Van Biejma H. You have an important message! Evaluating the effectiveness of a text message HIV/AIDS campaign in Northwest Uganda. J Health Commun. 2012;17:146–157. doi: 10.1080/10810730.2011.649104.
    1. Akinfaderin-Agarau F, Chirtau M, Ekponimo S, Power S. Opportunities and limitations for using new media and mobile phones to expand access to sexual and reproductive health information and services for adolescent girls and young women in six Nigerian states. Afr J Reprod Health. 2012;16:219–230.
    1. L’Engle KL, Vahdat HL, Ndakidemi E, Lasway C, Zan T. Evaluating feasibility, reach and potential impact of a text message family planning information service in Tanzania. Contraception. 2013;87:251–256. doi: 10.1016/j.contraception.2012.07.009.
    1. Chandra-Mouli V, Svanemyr J, Amin A, Fogstad H, Say L, Girard F, et al. Twenty years after international conference on population and development: where are we with adolescent sexual and reproductive health and rights? J Adolesc Health. 2015;56:S1–S6. doi: 10.1016/j.jadohealth.2014.09.015.
    1. Mmari K, Sabherwal SA. Review of risk and protective factors for adolescent sexual and reproductive health in developing countries: an update. J Adolesc Health. 2013;53:562–572. doi: 10.1016/j.jadohealth.2013.07.018.
    1. Miller BC. Family influences on adolescent sexual and contraceptive behavior. J Sex Res. 2002;39:22–26. doi: 10.1080/00224490209552115.
    1. Miller BC, Benson B, Galbraith KA. Family relationships and adolescent pregnancy risk: a research synthesis. Dev Rev. 2001;21:1–38. doi: 10.1006/drev.2000.0513.
    1. Heerden A. Van, Tomlinson M, Swartz L. point of care in your pocket: a research agenda for the field of m-health. Bull World Health Organ. 2012;90:393–394. doi: 10.2471/BLT.11.099788.
    1. Porter G, Hampshire K, Milner J, Munthali A, Robson E, de Lannoy A, et al. Mobile phones and education in sub-Saharan Africa: from youth practice to public policy. J Int Dev. 2016;28:22–39. doi: 10.1002/jid.3116.
    1. Blumenstock JE, Eagle N. Divided we call: disparities in access and use of mobile phones in Rwanda. Inf Technol Int Dev. 2012;8:1.
    1. Pew Research Center. Cell Phones in Africa: Communication Lifeline [Internet]. Pew Res. Cent. Glob. Attitudes Proj. 2015 [cited 2016 Mar 4]. Available from:
    1. Hampshire K, Porter G, Owusu SA, Mariwah S, Abane A, Robson E, et al. Informal m-health: how are young people using mobile phones to bridge healthcare gaps in sub-Saharan Africa? Soc Sci Med. 2015;142:90–99. doi: 10.1016/j.socscimed.2015.07.033.
    1. Wesolowski A, Eagle N, Noor AM, Snow RW, Buckee CO. Heterogeneous mobile phone ownership and usage patterns in Kenya. PLoS One. 2012;7:e35319. doi: 10.1371/journal.pone.0035319.
    1. Ghana Statistical Service (GSS), Ghana Health Service (GHS), and ICF International. Ghana Demographic and Health Survey 2014 [Internet]. Rockville, Maryland, USA: GSS, GHS, and ICF International; 2015. Available from:
    1. Biddlecom A, Hessburg, Laura, Singh S, Bankole A, Darabi, Leila . Protecting the next generation in sub-Saharan Africa: learning from adolescents to prevent HIV and unintended pregnancy. New York: Guttmacher Institute; 2007.
    1. Chandra-Mouli V, McCarraher DR, Phillips SJ, Williamson NE, Hainsworth G. Others. Contraception for adolescents in low and middle income countries: needs, barriers, and access. Reprod Health. 2014;11:1. doi: 10.1186/1742-4755-11-1.
    1. Hindin MJ, McGough LJ, Adanu RM. Misperceptions, misinformation and myths about modern contraceptive use in Ghana. J Fam Plann Reprod Health Care. 2014;40:30–35. doi: 10.1136/jfprhc-2012-100464.
    1. Nalwadda G, Mirembe F, Byamugisha J, Faxelid E. Persistent high fertility in Uganda: young people recount obstacles and enabling factors to use of contraceptives. BMC Public Health. 2010;10:530. doi: 10.1186/1471-2458-10-530.
    1. Frost JJ, Lindberg LD, Finer LB. Young adults’ contraceptive knowledge, norms and attitudes: associations with risk of unintended pregnancy. Perspect Sex Reprod Health. 2012;44:107–116. doi: 10.1363/4410712.
    1. White H. Asymptotic theory for econometricians. San Diego, CA: Academic Press; 1984.
    1. Rokicki S, Cohen J, Fink G, Salomon JA, Landrum MB. Inference with difference-in-differences with a small number of groups: a review, simulation study and empirical application using SHARE data. Med. Care. 2018. .
    1. StataCorp . Stata statistical software: release 14. College Station, TX: StataCorp LLC. 2015.
    1. Déglise C, Suggs LS, Odermatt P. Short message service (SMS) applications for disease prevention in developing countries. J Med Internet Res. 2012;14:e3. doi: 10.2196/jmir.1823.
    1. Plummer ML, Ross DA, Wight D, Changalucha J, Mshana G, Wamoyi J, et al. “A bit more truthful”: the validity of adolescent sexual behaviour data collected in rural northern Tanzania using five methods. Sex Transm Infect. 2004;80:ii49–ii56. doi: 10.1136/sti.2004.011924.
    1. Chib A, Wilkin H, Hoefman B. Vulnerabilities in mHealth implementation: a Ugandan HIV/AIDS SMS campaign. Glob Health Promot. 2013;20:26–32. doi: 10.1177/1757975912462419.
    1. Denno DM, Chandra-Mouli V, Osman M. Reaching youth with out-of-facility HIV and reproductive health services: a systematic review. J Adolesc Health. 2012;51:106–121. doi: 10.1016/j.jadohealth.2012.01.004.
    1. Chen W, Wellman B. The global digital divide–within and between countries. IT Soc. 2004;1:39–45.

Source: PubMed

3
Se inscrever