Information and communication technology as a support for mental health in perinatal women

Main Article Content

Katherine Soriano Amador
Nelcy Lorena Valencia Ortiz

Abstract

During pregnancy, a woman experiences many changes, not only physical, but also mental, which is why perinatal mental health is of great importance at this stage. The majority of pregnant women who develop a mental illness during pregnancy, such as depression or anxiety, are not diagnosed, which can cause adverse effects for the mother and baby. In this sense, the screening, diagnosis, management and follow-up of this group is of great importance. Thanks to technological advances, we can count on the Information and Communication Technologies (ICT) to find ways to approach women in the perinatal stage for screening and monitoring their mental health. So this review article focuses on seeing its acceptability, perception, barriers to access and new developments focused on improving mental health in perinatal women.

Keywords:
Mental health, mhealth, pregnancy, perinatal depression, telehealth

Article Details

References

Organización Mundial de la Salud. Salud mental: fortalecer nuestra respuesta [Internet]. [citado 6 de junio de 2022]. Disponible en: https://www.who.int/es/news-room/fact-sheets/detail/mental-health-strengthening-our-response

Steen M, Francisco AA. Salud mental y bienestar materno. Acta Paul Enferm. 2019;32:3-6.

Andrighetti HJ, Semaka A, Austin JC. Women’s experiences of participating in a prospective, longitudinal postpartum depression study: insights for perinatal mental health researchers. Arch Womens Ment Health. 2017;20(4):547-59.

Biggs LJ, McLachlan HL, Shafiei T, Liamputtong P, Forster DA. ‘I need help’: Reasons new and re-engaging callers contact the PANDA—Perinatal Anxiety and Depression Australia National Helpline. Health Soc Care Community. 2019;27(3):717-28.

Accortt EE, Wong MS. It is time for routine screening for perinatal mood and anxiety disorders in obstetrics and gynecology settings. Obstet Gynecol Surv. 2017;72(9):553-68.

Miller ES, Jensen R, Hoffman MC, Osborne LM, McEvoy K, Grote N, et al. Implementation of perinatal collaborative care: a health services approach to perinatal depression care. Prim Health Care Res Dev. 2020;21:e30.

Cunningham FG, Leveno KJ, Bloom SL, Dashe JS, Hoffman BL, Casey BM, et al. Trastornos psiquiátricos. En: Williams Obstetricia, 25e [Internet]. New York: McGraw-Hill Education; 2019 [citado 25 de abril de 2023]. Disponible en: accessmedicina.mhmedical.com/content.aspx?aid=1166856702

Organización Panamericana de la Salud. Depresión posparto, un problema de salud pública mundial [Internet]. [citado 31 de mayo de 2022]. Disponible en: https://iris.paho.org/bitstream/handle/10665.2/49117/v42e972018.pdf?sequence=3&isAllowed=y

Ramírez-Vélez R, Rincón-Pabón D. Depresión posparto en mujeres colombianas: análisis secundario de la Encuesta Nacional de Demografía y Salud-2010. Rev Salud Pública. 2014;16(4):534-46.

CEPAL. Objetivos de Desarrollo del Milenio [Internet]. [citado 26 de abril de 2022]. Disponible en: https://www.cepal.org/es/temas/objetivos-de-desarrollo-del-milenio-odm/objetivos-desarrollomilenio

World Economic Forum. The power of digital tools to transform mental healthcare [Internet] [citado 24 de junio de 2020]. Disponible en: https://www.weforum.org/agenda/2019/01/powerdigital-tools-transform-mental-health-care-depression-anxiety/

Heuvel JF van den, Groenhof TK, Veerbeek JH, Solinge WW van, Lely AT, Franx A, et al. eHealth as the Next-Generation Perinatal Care: An overview of the literature. J Med Internet Res. 2018;20(6):e202.

Li H, Bowen A, Szafron M, Moraros J, Muhajarine N. Maternal mental health: A shared care approach. Prim Health Care Res Dev. 2016;17(2):175-83.

Akbarian Z, Kohan S, Nasiri H, Ehsanpour S. The effects of mental health training program on stress, anxiety, and depression during pregnancy. Iran J Nurs Midwifery Res. 2018;23(2):93.

Dosani A, Arora H, Mazmudar S. mHealth and perinatal depression in low-and middle-income countries: A scoping review of the literature. Int J Environ Res Public Health. 2020;17(20):7679.

Hussain-Shamsy N, Shah A, Vigod SN, Zaheer J, Seto E. Mobile health for perinatal depression and anxiety: Scoping Review. J Med Internet Res. 2020;22(4):e17011.

Spadaro B, Martin-Key NA, Funnell E, Bahn S. mHealth solutions for perinatal mental health: Scoping review and appraisal following the mHealth Index and Navigation Database Framework. JMIR MHealth UHealth. 2022;10(1):e30724.

Vasquez Edgar. Mindfulness: Conceptos generales, psicoterapia y aplicaciones clínicas. Rev Neuropsiquiatr. 2016;79(1):42-51.

Green J, Neher T, Puzia M, Laird B, Huberty J. Pregnant women’s use of a consumer-based meditation mobile app: A descriptive study. Digit Health. 2022;8:20552076221089098.

Adamopoulou E, Moussiades L. An overview of Chatbot technology. En: Maglogiannis I, Iliadis L, Pimenidis E, editores. Artificial Intelligence Applications and Innovations. Cham: Springer International Publishing; 2020. p. 373-83.

Chung K, Cho HY, Park JY. A Chatbot for perinatal women’s and partners’ obstetric and mental

health care: Development and usability evaluation study. Med Inform. 2021;9(3):e18607.

Evans K, Donelan J, Rennick-Egglestone S, Cox S, Kuipers Y. Review of mobile apps for women with anxiety in pregnancy: Maternity care professionals’ guide to locating and assessing anxiety apps. J Med Internet Res. 2022;24(3):e31831.

Feldman N, Back D, Boland R, Torous J. A systematic review of mHealth application interventions for peripartum mood disorders: trends and evidence in academia and industry. Arch Womens Ment Health. diciembre de 2021;24(6):881-92.

Silang KA, Sohal PR, Bright KS, Leason J, Roos L, Lebel C, et al. eHealth Interventions for treatment and prevention of depression, anxiety, and insomnia during pregnancy: Systematic review and meta-analysis. Ment Health. 2022;9(2):e31116.

Neo HS, Tan JH, Ang WHD, Lau Y. Internet-delivered psychological interventions for reducing depressive, anxiety symptoms and fear of childbirth in pregnant women: A meta-analysis and meta-regression. J Psychosom Res. 2022;157:110790.

Forsell E, Bendix M, Holländare F, Szymanska B, Nasiell J, Blomdahl-Wetterholm M, et al. Internet delivered cognitive behavior therapy for antenatal depression: A randomised controlled trial. J Affect Disord. 2017;221:56-64.

Heller HM, Hoogendoorn AW, Honig A, Broekman BFP, Straten A van. The effectiveness of a guided internet-based tool for the treatment of depression and anxiety in pregnancy (mamakits online): Randomized Controlled Trial. J Med Internet Res. 2020;22(3):e15172.

Evans K, Rennick-Egglestone S, Cox S, Kuipers Y, Spiby H. Remotely delivered interventions to support women with symptoms of anxiety in pregnancy: Mixed methods systematic review and meta-analysis. J Med Internet Res. 2022;24(2):e28093.

Baker N, Gillman L, Coxon K. Assessing mental health during pregnancy: An exploratory qualitative study of midwives’ perceptions. Midwifery. 2020;86:102690.

Sakamoto JL, Carandang RR, Kharel M, Shibanuma A, Yarotskaya E, Basargina M, et al. Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review. BMJ Open. 2022;12(2):e056807.

Kola L, Abiona D, Adefolarin AO, Ben-Zeev D. Mobile phone use and acceptability for the delivery of mental health information among perinatal adolescents in Nigeria: Survey Study. Ment Health. 2022];8(1):e20314.

Barrera AZ, Aguilera A, Inlow N, Servin J. A preliminary study on the acceptability of a brief SMS program for perinatal women. Health Informatics J. 2020;26(2):1079-87.

Ackerman M, Greenwald E, Noulas P, Ahn C. Patient satisfaction with and use of telemental health services in the perinatal period: A survey study. Psychiatr Q. 2021;92(3):925.

Zingg A, Carter L, Rogith D, Franklin A, Selvaraj S, Refuerzo J, et al. Digital technology needs in maternal mental health: A qualitative inquiry. En: Mantas J, Stoicu-Tivadar L, Chronaki C, Hasman A, Weber P, Gallos P, et al., editores. Studies in Health Technology and Informatics [Internet]. IOS Press; 2021 [citado 31 de mayo de 2022]. Disponible en: https://ebooks.iospress.nl/doi/10.3233/SHTI210324

Tsai Z, Kiss A, Nadeem S, Sidhom K, Owais S, Faltyn M, et al. Evaluating the effectiveness and quality of mobile applications for perinatal depression and anxiety: A systematic review and meta-analysis. J Affect Disord. 2022;296:443-53.

Doherty K, Barry M, Marcano-Belisario J, Arnaud B, Morrison C, Car J, et al. A mobile app for the self-report of psychological well-being during pregnancy (BrightSelf): Qualitative design study. Ment Health. 2018;5(4):e10007.

Highet N, Gamble J, Creedy D. Perinatal mental health and psychosocial risk screening in a community maternal and child health setting: evaluation of a digital platform. Prim Health Care Res Dev. 2019;20:e58.

Kola L, Abiona D, Oladeji BD, Ayinde O, Bello T, Gureje O. Theory-driven development of a mobile phone supported intervention for adolescents with perinatal depression. Soc Psychiatry Psychiatr Epidemiol. 2022;57(6):1201-10.

Belisario JSM, Doherty K, O’Donoghue J, Ramchandani P, Majeed A, Doherty G, et al. A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility study. BMJ Open. 2017;7(5):e014469.

Hantsoo L, Podcasy J, Sammel M, Epperson CN, Kim DR. Pregnancy and the acceptability of computer-based versus traditional mental health treatments. J Womens Health. 2017;26(10):1106.

Martin-Key NA, Spadaro B, Schei TS, Bahn S. Proof-of-concept support for the development and implementation of a digital assessment for perinatal mental health: Mixed methods study. J Med Internet Res. 2021;23(6):e27132.

Brusniak K, Arndt HM, Feisst M, Haßdenteufel K, Matthies LM, Deutsch TM, et al. Challenges in acceptance and compliance in digital health assessments during pregnancy: Prospective cohort study. MHealth UHealth. 2020;8(10):e17377.

Wichman CL, Laszewski A, Doering JJ, Borchardt S. Feasibility of model adaptations and implementation of a perinatal psychiatric teleconsultation program. General Hospital Psychiatry. 2019;59:51-7.

Worley LLM, Wise-Ehlers A. Telepsychiatry in obstetrics. Obstet Gynecol Clin North Am. 2020;47(2):333-40.

Sun Y, Li Y, Wang J, Chen Q, Bazzano AN, Cao F. Effectiveness of smartphone-based mindfulness training on maternal perinatal depression: Randomized controlled trial. J Med Internet Res. 2021;23(1):e23410.

Kubo A, Aghaee S, Kurtovich EM, Nkemere L, Charles J, McGinnis MK, et al. mHealth mindfulness intervention for women with moderate-to-moderately-severe antenatal depressive symptoms: A pilot study within an integrated health care system. Mindfulness. 2021;12(6):1387.

Goetz M, Schiele C, Müller M, Matthies LM, Deutsch TM, Spano C, et al. Effects of a brief electronic mindfulness-based intervention on relieving prenatal depression and anxiety in hospitalized high-risk pregnant women: Exploratory Pilot Study. J Med Internet Res. 2020;22(8):e17593.

Yang Q, Van Stee SK. The comparative effectiveness of mobile phone interventions in improving health outcomes: Meta-Analytic Review. MHealth UHealth. 2019;7(4):e11244.

Latendresse G, Bailey E, Iacob E, Murphy H, Pentecost R, Thompson N, et al. A group videoconference intervention for reducing perinatal depressive symptoms: A telehealth pilot study. J Midwifery Womens Health. 2021;66(1):70.

Porter AC, Hunter S, Noonan K, Hoffman MC. A mindfulness application for reducing prenatal stress. J Midwifery Womens Health. 2022;67(4):442-447.

Wassef A, Wassef E. Telemedicine in perinatal mental health: Perspectives. J Psychosom Obstet Gynecol. 2022;43(2):224-227.

Kruse C, Betancourt J, Ortiz S, Valdes SM, Bamrah IK, Segovia N. Barriers to the use of mobile health in improving health outcomes in developing countries: Systematic review. J Med Internet Res. 2019;21(10):e13263.

Halili L, Liu R, Hutchinson KA, Semeniuk K, Redman LM, Adamo KB. Development and pilot evaluation of a pregnancy-specific mobile health tool: A qualitative investigation of SmartMoms Canada. BMC Med Inform Decis Mak. 2018;18:95.

Most read articles by the same author(s)