Maternal Parenting Electronic Diary in the Context of a Home Visit Intervention for Adolescent Mothers in an Urban Deprived Area of São Paulo, Brazil: Randomized Controlled Trial

Daniel Fatori, Adriana Argeu, Helena Brentani, Anna Chiesa, Lislaine Fracolli, Alicia Matijasevich, Euripedes C Miguel, Guilherme Polanczyk, Daniel Fatori, Adriana Argeu, Helena Brentani, Anna Chiesa, Lislaine Fracolli, Alicia Matijasevich, Euripedes C Miguel, Guilherme Polanczyk

Abstract

Background: Pregnancy during adolescence is prevalent in low- and middle-income countries (LMICs), which is associated with various adverse outcomes that can be prevented with home visiting programs. However, testing these interventions in LMICs can be challenging due to limited resources. The use of electronic data collection via smartphones can be an alternative and ideal low-cost method to measure outcomes in an environment with adverse conditions.

Objective: Our study had two objectives: to test the efficacy of a nurse home visiting intervention on maternal parenting and well-being measured by an electronic daily diary (eDiary), and to investigate the compliance rate of the eDiary measurement method.

Methods: We conducted a randomized controlled trial to test the efficacy of Primeiros Laços, a nurse home visiting program, for adolescent mothers living in an urban deprived area of São Paulo, Brazil. A total of 169 pregnant adolescents were assessed for eligibility criteria, 80 of whom were included and randomized to the intervention (n=40) and control group (care as usual, n=40). Primeiros Laços is a home visiting intervention delivered by trained nurses tailored to first-time pregnant adolescents and their children, starting during the first 16 weeks of pregnancy until the child reaches 24 months of age. Participants were assessed by blind interviewers at 8-16 weeks of pregnancy (baseline), 30 weeks of pregnancy, and when the child was 3, 6, and 12 months of age. At 18 months, participants were assessed regarding maternal parenting and parental well-being using a 7-consecutive-day eDiary. The smartphone app was programmed to notify participants every day at 9:00 PM over a period of seven days.

Results: We were able to contact 57/80 (71%) participants (29 from the intervention group and 28 from the control group) when the child was 18 months of age. Forty-eight of the 57 participants (84%) completed at least one day of the eDiary protocol. The daily compliance rate ranged from 49% to 70%. Our analyses showed a significant effect of the intervention on parental well-being (B=0.32, 95% CI [0.06, 0.58], P=.02) and the maternal parenting behavior of the mother telling a story or singing to the child (odds ratio=2.33, 95% CI [1.20, 4.50], P=.01).Our analyses showed a significant effect of the intervention on parental well-being (B=0.32, P=.02) and the maternal parenting behavior of the mother telling a story or singing to the child (odds ratio=2.33, P=.01).

Conclusions: The Primeiros Laços intervention improved maternal parenting and parental well-being, demonstrating its promise for low-income adolescent mothers. The compliance rate of the eDiary assessment showed that it was generally accepted by adolescent mothers with limited resources. Future studies can implement ambulatory assessment in LMICs via smartphones to measure mother and child behaviors.

Trial registration: ClinicalTrials.gov NCT02807818; https://ichgcp.net/clinical-trials-registry/NCT02807818.

Keywords: ambulatory assessment; daily diary; early childhood development; mHealth; maternal care; randomized clinical trial.

Conflict of interest statement

Conflicts of Interest: GP has served as a consultant to Shire and Johnson & Johnson. He has served on the speakers’ bureau of Shire. He has received royalties from Editora Manole. The remaining authors have no conflicts of interest to declare.

©Daniel Fatori, Adriana Argeu, Helena Brentani, Anna Chiesa, Lislaine Fracolli, Alicia Matijasevich, Euripedes C Miguel, Guilherme Polanczyk. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 28.07.2020.

Figures

Figure 1
Figure 1
Consolidated Standards of Reporting Trials (CONSORT) diagram.
Figure 2
Figure 2
eDiary compliance rate per day (n=57).
Figure 3
Figure 3
Effect of intervention on continuous outcomes: mother well-being (B=0.18, 95% CI [-0.15, 0.51],P=.286), parental well-being (B=0.32, 95% CI [0.06, 0.58], P=.015), total time spent with the child (B=0.05, 95% CI [-0.43, 0.52], P=.845).
Figure 4
Figure 4
Effect of intervention on categorical outcomes: mother taking care of the child (OR=0.71, 95% CI [0.19, 2.60], P=.61), mother reading or showing a book to the child (OR=2.35, 95% CI [0.90, 6.11], P=.08), mother telling stories or singing to the child (OR=2.33, 95% CI [1.20, 4.50]. P=.01), mother going out or for a stroll with the child (OR=0.76, 95% CI [0.33, 1.72], P=.51), mother playing with the child (OR=1.17, 95% CI [0.44, 3.17], P=.75), mother talking to the child (OR=1.82, 95% CI [0.69. 4.77], P=.22), mother eating/having meals with the child (OR=0.65, 95% CI [0.22, 1.90], P=.43).

References

    1. Darroch J, Woog V, Bankole A, Ashford L. Guttmacher Institute. New York: Guttmacher Institute; 2016. [2020-06-01]. Costs and Benefits of Meeting the Contraceptive Needs of Adolescents .
    1. Ganchimeg T, Ota E, Morisaki N, Laopaiboon M, Lumbiganon P, Zhang J, Yamdamsuren B, Temmerman M, Say L, Tunçalp Ö, Vogel JP, Souza JP, Mori R, WHO Multicountry Survey on Maternal Newborn Health Research Network Pregnancy and childbirth outcomes among adolescent mothers: a World Health Organization multicountry study. BJOG. 2014 Mar;121(Suppl 1):40–48. doi: 10.1111/1471-0528.12630.
    1. Conde-Agudelo A, Belizán JM, Lammers C. Maternal-perinatal morbidity and mortality associated with adolescent pregnancy in Latin America: Cross-sectional study. Am J Obstet Gynecol. 2005 Feb;192(2):342–349. doi: 10.1016/j.ajog.2004.10.593.
    1. Sommer K, Whitman TL, Borkowski JG, Schellenbach C, Maxwell S, Keogh D. Cognitive readiness and adolescent parenting. Dev Psychol. 1993;29(2):389–398. doi: 10.1037/0012-1649.29.2.389.
    1. Azevedo WFD, Diniz MB, Fonseca ESVB, Azevedo LMRD, Evangelista CB. Complications in adolescent pregnancy: systematic review of the literature. Einstein (Sao Paulo) 2015;13(4):618–626. doi: 10.1590/S1679-45082015RW3127.
    1. Grau J, Wilson K, Smith E, Castellanos P, Duran P. Adolescent Parenting: Risk and Protective Factors in the Context of Poverty. In: King R, Maholmes V, editors. The Oxford Handbook of Poverty and Child Development. Oxford: Oxford University Press; 2012.
    1. Black MM, Walker SP, Fernald LCH, Andersen CT, DiGirolamo AM, Lu C, McCoy DC, Fink G, Shawar YR, Shiffman J, Devercelli AE, Wodon QT, Vargas-Barón E, Grantham-McGregor S, Lancet Early Childhood Development Series Steering Committee Early childhood development coming of age: science through the life course. Lancet. 2017 Jan 07;389(10064):77–90. doi: 10.1016/S0140-6736(16)31389-7.
    1. Carter A, Garrity-Rokous F, Chazan-Cohen R, Little C, Briggs-Gowan M. Maternal depression and comorbidity: predicting early parenting, attachment security, and toddler social-emotional problems and competencies. J Am Acad Child Adolesc Psychiatry. 2001 Jan;40(1):18–26. doi: 10.1097/00004583-200101000-00012.
    1. van Os J, Lataster T, Delespaul P, Wichers M, Myin-Germeys I. Evidence that a psychopathology interactome has diagnostic value, predicting clinical needs: an experience sampling study. PLoS One. 2014;9(1):e86652. doi: 10.1371/journal.pone.0086652.
    1. Kramer I, Simons CJP, Hartmann JA, Menne-Lothmann C, Viechtbauer W, Peeters F, Schruers K, van Bemmel AL, Myin-Germeys I, Delespaul P, van Os J, Wichers M. A therapeutic application of the experience sampling method in the treatment of depression: a randomized controlled trial. World Psychiatry. 2014 Feb;13(1):68–77. doi: 10.1002/wps.20090.
    1. Killingsworth MA, Gilbert DT. A wandering mind is an unhappy mind. Science. 2010 Nov 12;330(6006):932. doi: 10.1126/science.1192439.
    1. Sawada N, Gagné FM, Séguin L, Kramer MS, McNamara H, Platt RW, Goulet L, Meaney MJ, Lydon JE. Maternal prenatal felt security and infant health at birth interact to predict infant fussing and crying at 12 months postpartum. Health Psychol. 2015 Aug;34(8):811–819. doi: 10.1037/hea0000152.
    1. Passini CM, Pihet S, Favez N, Schoebi D. Assessment of parental discipline in daily life. J Fam Psychol. 2013 Apr;27(2):324–329. doi: 10.1037/a0031504.
    1. Chan KL, Leung WC, Tiwari A, Or KL, Ip P. Using Smartphone-Based Psychoeducation to Reduce Postnatal Depression Among First-Time Mothers: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2019 May 14;7(5):e12794. doi: 10.2196/12794.
    1. de Neigreiros da Silva NV, Pontes CM, Cabral de Sousa NF, de Vasconcelos MGL. [Health Technologies and their contributions to the promotion of breastfeeding: an integrative review of the literature] Cien Saude Colet. 2019 Feb;24(2):589–602. doi: 10.1590/1413-81232018242.03022017.
    1. Litterbach E, Russell CG, Taki S, Denney-Wilson E, Campbell KJ, Laws RA. Factors Influencing Engagement and Behavioral Determinants of Infant Feeding in an mHealth Program: Qualitative Evaluation of the Growing Healthy Program. JMIR Mhealth Uhealth. 2017 Dec 18;5(12):e196. doi: 10.2196/mhealth.8515.
    1. Russell CG, Denney-Wilson E, Laws RA, Abbott G, Zheng M, Lymer SJ, Taki S, Litterbach EV, Ong K, Campbell KJ. Impact of the Growing Healthy mHealth Program on Maternal Feeding Practices, Infant Food Preferences, and Satiety Responsiveness: Quasi-Experimental Study. JMIR Mhealth Uhealth. 2018 Apr 25;6(4):e77. doi: 10.2196/mhealth.9303.
    1. Choi J, Lee JH, Vittinghoff E, Fukuoka Y. mHealth Physical Activity Intervention: A Randomized Pilot Study in Physically Inactive Pregnant Women. Matern Child Health J. 2016 May;20(5):1091–1101. doi: 10.1007/s10995-015-1895-7.
    1. Chen H, Chai Y, Dong L, Niu W, Zhang P. Effectiveness and Appropriateness of mHealth Interventions for Maternal and Child Health: Systematic Review. JMIR Mhealth Uhealth. 2018 Jan 09;6(1):e7. doi: 10.2196/mhealth.8998.
    1. Daly LM, Horey D, Middleton PF, Boyle FM, Flenady V. The Effect of Mobile App Interventions on Influencing Healthy Maternal Behavior and Improving Perinatal Health Outcomes: Systematic Review. JMIR Mhealth Uhealth. 2018 Aug 09;6(8):e10012. doi: 10.2196/10012.
    1. Chan KL, Chen M. Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis. JMIR Mhealth Uhealth. 2019 Jan 30;7(1):e11836. doi: 10.2196/11836.
    1. Tarqui-Mamani C, Sanabria-Rojas H, Portugal-Benavides WJ, García JC, Castro-Garay W, Escalante-Lazo R, Calderón-Bedoya M. [Effectiveness of mobile technology and weight gain in pregnant women in Callao, Peru] Rev Salud Publica (Bogota) 2018;20(1):67–72. doi: 10.15446/rsap.V20n1.63488.
    1. Fatori D, Matijasevitch A, Brentani H, Constantino Miguel E, Polanczyk G. 3.30 The effects on child development of a nurse home visitation program for pregnant youth living in adverse conditions: a randomized control trial. J Am Acad Child Adolescent Psych. 2019 Oct;58(10):S204. doi: 10.1016/j.jaac.2019.08.193.
    1. Shephard E, Fatori D, Mauro LR, de Medeiros Filho MV, Hoexter MQ, Chiesa AM, Fracolli LA, Brentani H, Ferraro AA, Nelson CA, Miguel EC, Polanczyk GV. Effects of Maternal Psychopathology and Education Level on Neurocognitive Development in Infants of Adolescent Mothers Living in Poverty in Brazil. Biol Psychiatry Cogn Neurosci Neuroimaging. 2019 Oct;4(10):925–934. doi: 10.1016/j.bpsc.2019.05.009.
    1. Fatori D, Matijasevitch A, Brentani H, Constantino Miguel E, Polanczyk G. 3.29 Maternal care and its association with depression and stress: a smartphone daily diary study in the context of a home-visiting intervention for adolescent mothers living in adverse conditions in Sao Paulo, Brazil. J Am Acad Child Adolescent Psych. 2019 Oct;58(10):S204. doi: 10.1016/j.jaac.2019.08.192.
    1. Fatori D, Polanczyk GV, Miguel E, Matijasevich A. 5.57 Maternal Depression Trajectories in Adolescent Mothers Living in a Poor Urban Area and Their Association With Parental Stress, Infant Behavioral Problems, and Psychological Violence. J Am Acad Child Adolescent Psych. 2017 Oct;56(10):S274. doi: 10.1016/j.jaac.2017.09.340.
    1. Associação Brasileira das Empresas de Pesquisas. São Paulo: Associação Brasileira das Empresas de Pesquisas; 2015. [2020-06-01]. Critério Brasil 2015 e atualização da distribuição de classes para 2016 .
    1. Bowlby J. Attachment and loss: retrospect and prospect. Am J Orthopsychiatry. 1982 Oct;52(4):664–678. doi: 10.1111/j.1939-0025.1982.tb01456.x.
    1. Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. 1977 Mar;84(2):191–215. doi: 10.1037//0033-295x.84.2.191.
    1. Bronfenbrenner U. Ecology of the family as a context for human development: Research perspectives. Dev Psychol. 1986 Nov;22(6):723–742. doi: 10.1037/0012-1649.22.6.723.
    1. Chiesa AM, Fracolli LA, De la O Ramallo Veríssimo M, Campos Pavone Zoboli L, Keismanas de Ávila L, Pina de Oliveira AA. Building health care technologies based on health promotion. Rev Esc Enferm USP. 2009 Dec;43(spe2):1352–1357. doi: 10.1590/S0080-62342009000600036.
    1. Martins J, Verissimo MdlOR, Oliveira MA. Health agents' evaluation of the project instruments in: "our children - windows of opportunities". Texto Contexto - Enferm. 2008;17(1):106–114. doi: 10.1590/S0104-07072008000100012.
    1. Sadler LS, Slade A, Close N, Webb DL, Simpson T, Fennie K, Mayes LC. Minding the Baby: Enhancing reflectiveness to improve early health and relationship outcomes in an interdisciplinary home visiting program. Infant Ment Health J. 2013 Sep 01;34(5):391–405. doi: 10.1002/imhj.21406.
    1. Olds DL. The nurse-family partnership: An evidence-based preventive intervention. Infant Ment Health J. 2006 Jan;27(1):5–25. doi: 10.1002/imhj.20077.
    1. Pinheiro DGM, Coelho TPB, Silva CFAD, Silva LAD, Chiesa AM, Fracolli LA. Validação de conteúdo do program de visita domiciliar para a díade mãe-criança. Cogitare Enferm. 2018 Jul 05;23(2) doi: 10.5380/ce.v23i2.54055.
    1. Fracolli LA, Reticena KDO, Abreu FCPD, Chiesa AM. A implementação de um programa de visitas domiciliárias com foco na parentalidade: um relato de experiência. Rev Esc Enferm USP. 2018 Aug 23;52:1–8. doi: 10.1590/s1980-220x2017044003361.
    1. Paim J, Travassos C, Almeida C, Bahia L, Macinko J. The Brazilian health system: history, advances, and challenges. Lancet. 2011 May 21;377(9779):1778–1797. doi: 10.1016/S0140-6736(11)60054-8.
    1. Ministério da Saúde . Biblioteca Virtual em Saúde. Brasília: 2012. [2020-06-01]. Atenção ao pré-natal de baixo risco .
    1. Ministério da Saúde . Ministério da Saúde. Brasília: 2018. [2020-06-01]. Caderneta da Gestante .
    1. Ministério da Saúde . Secretaria de Atenção à Saúde, Departamento de Ações Programáticas Estratégicas. Brasília: 2012. [2020-06-01]. Gestação de Alto Risco Manual Técnico .
    1. Beck AT, Steer RA, Carbin MG. Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation. Clin Psychol Rev. 1988 Jan;8(1):77–100. doi: 10.1016/0272-7358(88)90050-5.
    1. Richter P, Werner J, Heerlein A, Kraus A, Sauer H. On the validity of the Beck Depression Inventory. A review. Psychopathology. 1998;31(3):160–168. doi: 10.1159/000066239.
    1. Gorenstein C, Andrade L. Validation of a Portuguese version of the Beck Depression Inventory and the State-Trait Anxiety Inventory in Brazilian subjects. Braz J Med Biol Res. 1996 Apr;29(4):453–457.
    1. Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol. 1988 Dec;56(6):893–897. doi: 10.1037//0022-006x.56.6.893.
    1. Santos LPD, Lindemann IL, Motta JVDS, Mintem G, Bender E, Gigante DP. Proposal of a short-form version of the Brazilian food insecurity scale. Rev Saude Publica. 2014 Oct;48(5):783–789. doi: 10.1590/s0034-8910.2014048005195.
    1. Corrêa AMS. Insegurança alimentar medida a partir da percepção das pessoas. Estud Av. 2007 Aug;21(60):143–154. doi: 10.1590/S0103-40142007000200012.
    1. LifeData. [2018-09-04]. Real-time insights for research and clinical trials
    1. Liang K, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73(1):13–22. doi: 10.1093/biomet/73.1.13.
    1. Cui J. QIC Program and Model Selection in GEE Analyses. Stata J. 2018 Nov 19;7(2):209–220. doi: 10.1177/1536867X0700700205.
    1. Twisk J. Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide. Cambridge: Cambridge University Press; 2013.
    1. Shah R, Sobotka SA, Chen Y, Msall ME. Positive Parenting Practices, Health Disparities, and Developmental Progress. Pediatrics. 2015 Aug;136(2):318–326. doi: 10.1542/peds.2014-3390.
    1. Milteer RM, Ginsburg KR, Council On Communications And Media Committee On Psychosocial Aspects Of Child And Family Health. Mulligan DA. The importance of play in promoting healthy child development and maintaining strong parent-child bond: focus on children in poverty. Pediatrics. 2012 Jan;129(1):e204–e213. doi: 10.1542/peds.2011-2953.
    1. Victora CG, Aquino EML, do Carmo Leal M, Monteiro CA, Barros FC, Szwarcwald CL. Maternal and child health in Brazil: progress and challenges. Lancet. 2011 May 28;377(9780):1863–1876. doi: 10.1016/S0140-6736(11)60138-4.
    1. de Oliveira EA, Barros FC, da Silva Anselmi LD, Piccinini CA. The Quality of Home Environment in Brazil: An Ecological Model. J Child Fam Stud. 2006 Aug 22;15(5):631–642. doi: 10.1007/s10826-006-9063-8.
    1. Programme for International Student Assessment (PISA) Organisation for Economic Co-operation and Development; 2015. [2020-06-01]. Brazil .
    1. Estadão Conteúdo . Negócios. Porto Alegre: Editora Globo; 2018. [2018-11-13]. Três em cada 10 são analfabetos funcionais no Brasil, aponta estudo .
    1. Rodrigues MF. O Estado de São Paulo. São Paulo: Grupo Estado; 2016. [2018-11-13]. 44% da população brasileira não lê e 30% nunca comprou um livro, aponta pesquisa Retratos da Leitura
    1. Nelson SK, Kushlev K, English T, Dunn EW, Lyubomirsky S. In defense of parenthood: children are associated with more joy than misery. Psychol Sci. 2013 Jan 01;24(1):3–10. doi: 10.1177/0956797612447798.
    1. Hodgkinson S, Beers L, Southammakosane C, Lewin A. Addressing the mental health needs of pregnant and parenting adolescents. Pediatrics. 2014 Jan;133(1):114–122. doi: 10.1542/peds.2013-0927.
    1. Larson NC. Parenting Stress Among Adolescent Mothers in the Transition to Adulthood. Child Adolescent Soc Work J. 2004 Oct;21(5):457–476. doi: 10.1023/B:CASW.0000043359.38426.b4.
    1. Wen CKF, Schneider S, Stone AA, Spruijt-Metz D. Compliance With Mobile Ecological Momentary Assessment Protocols in Children and Adolescents: A Systematic Review and Meta-Analysis. J Med Internet Res. 2017 Apr 26;19(4):e132. doi: 10.2196/jmir.6641.
    1. Rintala A, Wampers M, Myin-Germeys I, Viechtbauer W. Response compliance and predictors thereof in studies using the experience sampling method. Psychol Assess. 2019 Feb;31(2):226–235. doi: 10.1037/pas0000662.
    1. Althubaiti A. Information bias in health research: definition, pitfalls, and adjustment methods. J Multidiscip Healthc. 2016;9:211–217. doi: 10.2147/JMDH.S104807.
    1. McCambridge J, Witton J, Elbourne DR. Systematic review of the Hawthorne effect: new concepts are needed to study research participation effects. J Clin Epidemiol. 2014 Mar;67(3):267–277. doi: 10.1016/j.jclinepi.2013.08.015.

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