Thinking about the environment and theorising change: how could Life History Strategy Theory inform mHealth interventions in low- and middle-income countries?

References

• Chib A, van Velthoven MH, Car J. mHealth adoption in low-resource environments: a review of the use of mobile healthcare in developing countries. J Health Commun. 2015;20:4–9.
   PubMed Web of Science ®Google Scholar
• Free C, Phillips G, Galli L, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10:e1001362.
   PubMed Web of Science ®Google Scholar
• Chib A. The promise and peril of mHealth in developing countries. Mob Media Commun. 2013;1:69–75.
   Web of Science ®Google Scholar
• Vodafone. The role of mobile phones in increasing accessibility and efficiency in healthcare. London: Vodafone; 2006.
   Google Scholar
• Waegemann CP. mHealth: the next generation of telemedicine. Telemed JE Health. 2010;16:23–25.
   PubMed Web of Science ®Google Scholar
• Chang LW, Kagaayi J, Arem H, 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;15:1776–1784.
   PubMed Web of Science ®Google Scholar
• Burton LM. Teenage childbearing as an alternative life-course strategy in multigeneration black families. Hum Nat. 1990;1:123–143.
   PubMedGoogle Scholar
• Da Costa TM, Barbosa BJP, e Costa DAG, et al. Results of a randomized controlled trial to assess the effects of a mobile SMS-based intervention on treatment adherence in HIV/AIDS-infected Brazilian women and impressions and satisfaction with respect to incoming messages. Int J Med Inform. 2012;81:257–269.
   PubMed Web of Science ®Google Scholar
• Ginsburg OMCM, Wu W, Chowdhury MT, 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. 2014;19:177–185.
   PubMed Web of Science ®Google Scholar
• Lemay NV, Sullivan T, Jumbe B, et al. Reaching remote health workers in Malawi: baseline assessment of a pilot mHealth intervention. J Health Commun. 2012;17:105–117.
   PubMed Web of Science ®Google Scholar
• 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. 2011;25:825.
   PubMed Web of Science ®Google Scholar
• Rodrigues R, Shet A, Antony J, et al. Supporting adherence to antiretroviral therapy with mobile phone reminders: results from a cohort in South India. PLoS One. 2012;7:e40723.
   PubMed Web of Science ®Google Scholar
• Tamrat T, Kachnowski S. Special delivery: an analysis of mHealth in maternal and newborn health programs and their outcomes around the world. Matern Child Health J. 2012;16:1092–1101.
   PubMed Web of Science ®Google Scholar
• Zurovac D, Larson BA, Sudoi RK, et al. Costs and cost-effectiveness of a mobile phone text-message reminder programmes to improve health workers’ adherence to malaria guidelines in Kenya. PLoS One. 2012;7:e52045.
   PubMed Web of Science ®Google Scholar
• Ryan RM, Patrick H, Deci EL, et al. Facilitating health behaviour change and its maintenance: interventions based on self-determination theory. Eur Health Psychol. 2008;10:2–5.
   Google Scholar
• Michie S, Johnston M, Francis J, et al. From theory to intervention: mapping theoretically derived behavioural determinants to behaviour change techniques. Appl Psychol. 2008;57:660–680.
   Web of Science ®Google Scholar
• Council MR. A framework for the development and evaluation of RCTs for complex interventions to improve health. London: Medical Research Council; 2000.
   Google Scholar
• Campbell M, Fitzpatrick R, Haines A, et al. Framework for design and evaluation of complex interventions to improve health. Br Med J. 2000;321:694.
   PubMed Web of Science ®Google Scholar
• Schroeder SA. We can do better—improving the health of the American people. N Engl J Med. 2007;357:1221–1228.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Lee SH, Nurmatov UB, Nwaru BI, et al. Effectiveness of mHealth interventions for maternal, newborn and child health in low-and middle-income countries: systematic review and meta-analysis. Edinburgh, UK: Edinburgh University Global Health Society; 2016.
   Google Scholar
• Sondaal SFV, Browne JL, Amoakoh-Coleman M, et al. Assessing the effect of mHealth interventions in improving maternal and neonatal care in low-and middle-income countries: a systematic review. PLoS One. 2016;11:e0154664.
   PubMed Web of Science ®Google Scholar
• Beratarrechea A, Lee AG, Willner JM, et al. The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review. Telemed J E Health. 2014;20:75–82.
   PubMed Web of Science ®Google Scholar
• McCurdie T, Taneva S, Casselman M, et al. mHealth consumer apps: the case for user-centered design. Biomed Instrum Technol. 2012;46:49–56.
   PubMedGoogle Scholar
• Gustafson DH, McTavish FM, Chih M-Y, et al. A smartphone application to support recovery from alcoholism: a randomized clinical trial. JAMA Psychiatry. 2014;71:566–572.
   PubMed Web of Science ®Google Scholar
• Estrin D. URB 09 AndWellness: Improving wellness with mobile personal sensing. Annual report. Center for Embedded Networked Sensing [Internet]. 2009. [ cited 2016 Dec 29]. Available from: http://www.cs.ucsb.edu/~chong/290N-W10/urban09.pdf
   Google Scholar
• Cafazzo JA, Casselman M, Hamming N, et al. Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study. J Med Internet Res. 2012;14:e70.
   PubMed Web of Science ®Google Scholar
• Rabbi M, Aung MH, Zhang M, et al., editors. MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing; ACM; 2015.
   Google Scholar
• Pramana G, Parmanto B, Kendall PC, et al. The SmartCAT: an m-health platform for ecological momentary intervention in child anxiety treatment. Telem J E Health. 2014;20:419–427.
   PubMed Web of Science ®Google Scholar
• Waterlander W, Whittaker R, McRobbie H, et al. Development of an evidence-based mHealth weight management program using a formative research process. JMIR Mhealth Uhealth. 2014;2:e18.
   PubMed Web of Science ®Google Scholar
• Belsky J. Conditional and alternative reproductive strategies: individual differences in susceptibility to rearing experiences. In: Rodgers JL, Rowe DC, Miller WB, editors. Genetic influences on human fertility and sexuality. New York, NY: Springer Science and Business Media; 2000. p. 127–146.
   Google Scholar
• Belsky J, Schlomer GL, Ellis BJ. Beyond cumulative risk: distinguishing harshness and unpredictability as determinants of parenting and early life history strategy. Dev Psychol. 2012;48:662.
   PubMed Web of Science ®Google Scholar
• Chisholm JS, Ellison PT, Evans J, et al. Death, hope, and sex: life-history theory and the development of reproductive strategies [and comments and reply]. Curr Anthropol. 1993;34:1–24.
   Web of Science ®Google Scholar
• Ellis BJ, Del Giudice M. Beyond allostatic load: rethinking the role of stress in regulating human development. Dev Psychopathol. 2014;26:1–20.
   PubMed Web of Science ®Google Scholar
• Ellis BJ, Figueredo AJ, Brumbach BH, et al. Fundamental dimensions of environmental risk. Hum Nat. 2009;20:204–268.
   PubMed Web of Science ®Google Scholar
• Brumbach BH, Figueredo AJ, Ellis BJ. Effects of harsh and unpredictable environments in adolescence on development of life history strategies. Hum Nat. 2009;20:25–51.
   PubMed Web of Science ®Google Scholar
• Doom JR, Vanzomeren-Dohm AA, Simpson JA. Early unpredictability predicts increased adolescent externalizing behaviors and substance use: A life history perspective. Dev Psychopathol. 2015;28(4pt2):1–12.
   Web of Science ®Google Scholar
• Adler NE, Boyce T, Chesney MA, et al. Socioeconomic status and health: the challenge of the gradient. Am Psychol. 1994;49:15.
   PubMed Web of Science ®Google Scholar
• Chen E, Matthews KA, Boyce WT. Socioeconomic differences in children’s health: how and why do these relationships change with age? Psychol Bull. 2002;128:295.
   PubMed Web of Science ®Google Scholar
• Griskevicius V, Delton AW, Robertson TE, et al. Environmental contingency in life history strategies: the influence of mortality and socioeconomic status on reproductive timing. J Pers Soc Psychol. 2011;100:241.
   PubMed Web of Science ®Google Scholar
• Figueredo AJ, Vásquez G, Brumbach BH, et al. Consilience and life history theory: from genes to brain to reproductive strategy. Dev Rev. 2006;26:243–275.
   Web of Science ®Google Scholar
• Ogden J, Karim L, Choudry A, et al. Understanding successful behaviour change: the role of intentions, attitudes to the target and motivations and the example of diet. Health Educ Res. 2007;22:397–405.
   PubMed Web of Science ®Google Scholar
• Zygmunt A, Olfson M, Boyer CA, et al. Interventions to improve medication adherence in schizophrenia. Am J Psychiatry. 2002;159:1653–1664.
   PubMed Web of Science ®Google Scholar
• Murray MT, Wessels IM. Parenting for lifelong health: from South Africa to other low-and middle-income countries. In: Responsive parenting: a strategy to prevent violence. Bernard van Leer Foundation; 2014. p. 49.
   Google Scholar
• Crankshaw T, Gibbs A, Butler L, et al. Research report: development of a parenting intervention to promote effective parenting practices in South Africa. Johannesburg: Sexual Violence Research Initiative; 2016.
   Google Scholar
• Tomlinson M. “Toxic poverty”–improving maternal, infant and child health. Inaugural lecture [Internet]. 2012. [ cited 2017 Jan 01]. Available from: https://scholar.sun.ac.za/…/tomlinson_toxic_2012.pdf;sequence=1
   Google Scholar
• Barak Morgan DS, Carter S, Leckman JF, et al. Human biological development and peace: genes, brains, safety, and justice. In: Leckman JF, Panter-Brick C, Salah R, editors. Pathways to peace: the transformative power of children and families. Cambridge (MA): MIT Press; 2014.
   Google Scholar
• Aikens JE, Zivin K, Trivedi R, et al. Diabetes self-management support using mHealth and enhanced informal caregiving. J Diabetes Complications. 2014;28:171–176.
   PubMed Web of Science ®Google Scholar
• Park LG, Howie-Esquivel J, Chung ML, et al. A text messaging intervention to promote medication adherence for patients with coronary heart disease: a randomized controlled trial. Patient Educ Couns. 2014;94:261–268.
   PubMed Web of Science ®Google Scholar
• Cluver LD, Orkin FM, Boyes ME, et al. Cash plus care: social protection cumulatively mitigates HIV-risk behaviour among adolescents in South Africa. Aids. 2014;28:S389–S397.
   PubMed Web of Science ®Google Scholar