Impact of mobile health interventions during the perinatal period on maternal psychosocial outcomes: a systematic review.

OBJECTIVE The objective of this review was to evaluate the effectiveness of mother-targeted mobile health (mHealth) education interventions during the perinatal period on maternal psychosocial outcomes in high-income countries. INTRODUCTION The perinatal period is an exciting yet challenging period for mothers that requires physical, emotional and social adjustment to new norms and expectations. In recent years, there has been an increase in the use of mHealth by new mothers who are seeking health information through online or mobile applications. While there have been systematic reviews on the impact of mHealth interventions on maternal and newborn health in low- and middle-income countries, the impact of these interventions on maternal psychosocial health outcomes in high-income countries remains uncertain. INCLUSION CRITERIA This review considered studies of mHealth education interventions targeting mothers in high-income countries (as defined by the World Bank) during the perinatal period. Interventions must have started between the antenatal period (conception through birth) through six weeks postpartum. All experimental study designs were included. Outcomes included self-efficacy, social support, postpartum anxiety and postpartum depression. METHODS PubMed, CINAHL, PsycINFO and Embase were searched for published studies in English on December 16, 2018. Gray literature was also searched for non-peer reviewed articles, including Google Scholar, mHealth intelligence and clinical trials databases. Critical appraisal was undertaken by two independent reviewers using standardized critical appraisal instruments from JBI. Quantitative data were extracted from included studies independently by two reviewers using the standardized data extraction tool from JBI. All conflicts were solved through consensus with a third reviewer. Quantitative data were, where possible, pooled in statistical meta-analysis using RevMan. Where statistical pooling was not possible, findings were reported narratively. RESULTS Of the 1,607 unique articles identified, 106 full-text papers were screened and 24 articles were critically appraised, with 21 included in the final review. Eleven were quasi-experimental and 10 were randomized controlled trials. The mHealth intervention approach varied, with text message and mobile applications being the most common. Length of intervention ranged from four weeks to six months. The topics of the mHealth intervention varied widely, with the most common topic being postpartum depression. Mothers who received an mHealth intervention targeting postpartum depression showed a decreased score on the Edinburgh Postnatal Depression Scale when measured post-intervention (odds ratio = -6.01, 95% confidence interval = -8.34 to -3.67, p < 0.00001). The outcomes related to self-efficacy, social support and anxiety showed mixed findings of effectiveness (beneficial and no change) across the studies identified. CONCLUSIONS This review provides insight into the effectiveness of mHealth interventions targeting mothers in high-income countries in the perinatal period to enhance four psychosocial outcomes: self-efficacy, social support, anxiety and depression. Despite a wide variety of outcome measurements used, the predominant findings suggest that there are insufficient data to conclude that mHealth interventions can improve self-efficacy and anxiety outcomes. Potential benefits on social support were related to interventions targeting postnatal behaviors. Postpartum depression was the mostly commonly reported outcome. Findings related to the comparison of pre-post outcomes and intervention versus control demonstrated that mHealth interventions targeting postpartum depression were associated with a reduction in postpartum depression.

[1]  Emily M. Cramer,et al.  A two-way text-messaging system answering health questions for low-income pregnant women. , 2013, Patient education and counseling.

[2]  Leann E. Smith,et al.  Continuity of paternal social support and depressive symptoms among new mothers. , 2008, Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association.

[3]  Puhong Zhang,et al.  Effectiveness and Appropriateness of mHealth Interventions for Maternal and Child Health: Systematic Review , 2018, JMIR mHealth and uHealth.

[4]  Rachel Davey,et al.  Development and Pilot Testing of the Eating4two Mobile Phone App to Monitor Gestational Weight Gain , 2015, JMIR mHealth and uHealth.

[5]  L. Abroms,et al.  Quit4baby: Results From a Pilot Test of a Mobile Smoking Cessation Program for Pregnant Women , 2015, JMIR mHealth and uHealth.

[6]  A. Ferrari,et al.  A systematic review and meta-regression of the prevalence and incidence of perinatal depression. , 2017, Journal of affective disorders.

[7]  Jennifer A. Unger,et al.  Delivering perinatal depression care in a rural obstetric setting: a mixed methods study of feasibility, acceptability and effectiveness , 2017, Journal of psychosomatic obstetrics and gynaecology.

[8]  S. Horiuchi,et al.  Randomised controlled trial using smartphone website vs leaflet to support antenatal perineal massage practice for pregnant women. , 2016, Women and birth : journal of the Australian College of Midwives.

[9]  Mary J Wills,et al.  Do u smoke after txt? Results of a randomised trial of smoking cessation using mobile phone text messaging , 2005, Tobacco Control.

[10]  D. Svikis,et al.  A Stress Coping App for Hospitalized Pregnant Women at Risk for Preterm Birth , 2017, MCN. The American journal of maternal child nursing.

[11]  Antonia M. Nelson Transition to motherhood. , 2003, Journal of obstetric, gynecologic, and neonatal nursing : JOGNN.

[12]  C. Tufanaru,et al.  Fixed or random effects meta-analysis? Common methodological issues in systematic reviews of effectiveness , 2015, International journal of evidence-based healthcare.

[13]  Yoshimi Fukuoka,et al.  mHealth Physical Activity Intervention: A Randomized Pilot Study in Physically Inactive Pregnant Women , 2016, Maternal and Child Health Journal.

[14]  Nancy Staggers,et al.  Scoping review and evaluation of SMS/text messaging platforms for mHealth projects or clinical interventions , 2017, Int. J. Medical Informatics.

[15]  T. Field Prenatal anxiety effects: A review. , 2017, Infant behavior & development.

[16]  Stephen Sutton,et al.  Randomized controlled trial evaluation of a tailored leaflet and SMS text message self-help intervention for pregnant smokers (MiQuit). , 2012, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[17]  T. Dennis-Tiwary,et al.  Salutary effects of an attention bias modification mobile application on biobehavioral measures of stress and anxiety during pregnancy , 2017, Biological Psychology.

[18]  Logan D. McColl,et al.  Peer Support Intervention through Mobile Application: An Integrative Literature Review and Future Directions , 2014 .

[19]  M. Aston Learning to be a normal mother: empowerment and pedagogy in postpartum classes. , 2002, Public health nursing.

[20]  I. Morag,et al.  The use of short message services (SMS) to provide medical updating to parents in the NICU , 2016, Journal of Perinatology.

[21]  J. L. Bender,et al.  Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace , 2015, JMIR mHealth and uHealth.

[22]  L. Walker,et al.  The Broken Thread of Health Promotion and Disease Prevention for Women During the Postpartum Period , 2015, The Journal of Perinatal Education.

[23]  J. Barkin,et al.  Information Management in New Motherhood , 2016, Journal of the American Psychiatric Nurses Association.

[24]  J. Gazmararian,et al.  Use of Text Messaging for Maternal and Infant Health: A Systematic Review of the Literature , 2015, Maternal and Child Health Journal.

[25]  A. Nicolucci,et al.  The effect of telemedicine on outcome and quality of life in pregnant women with diabetes , 2009, Journal of telemedicine and telecare.

[26]  Ian M. Bennett,et al.  A Mobile Application for Monitoring and Management of Depressed Mood in a Vulnerable Pregnant Population. , 2018, Psychiatric services.

[27]  Rebekah Russell–Bennett,et al.  Can a text message a week improve breastfeeding? , 2014, BMC Pregnancy and Childbirth.

[28]  M. Almalik Understanding maternal postpartum needs: A descriptive survey of current maternal health services , 2017, Journal of clinical nursing.

[29]  Y. Chong,et al.  Maternal parental self-efficacy in newborn care and social support needs in Singapore: a correlational study. , 2014, Journal of clinical nursing.

[30]  M. Newton,et al.  Sources of information used by women during pregnancy to meet their information needs. , 2014, Midwifery.

[31]  M. Sayıl,et al.  First Time Mothers' Anxiety and Depressive Symptoms Across the Transition to Motherhood: Associations with Maternal and Environmental Characteristics , 2007, Women & health.

[32]  David C. Mohr,et al.  Supporting parents of premature infants transitioning from the NICU to home: A pilot randomized control trial of a smartphone application , 2016, Internet interventions.

[33]  C. Dennis,et al.  Prevalence of antenatal and postnatal anxiety: Systematic review and meta-analysis , 2017, British Journal of Psychiatry.

[34]  Leonard E. Egede,et al.  mHealth Interventions in Low and Middle-Income Countries: A Systematic Review , 2015, Global journal of health science.

[35]  D. Creedy,et al.  A Randomized Controlled Trial of a Psycho-Education Intervention by Midwives in Reducing Childbirth Fear in Pregnant Women , 2014, Birth.

[36]  E. Ali Women’s experiences with postpartum anxiety disorders: a narrative literature review , 2018, International journal of women's health.

[37]  W. Tam,et al.  Enhancing first-time parents' self-efficacy: A systematic review and meta-analysis of universal parent education interventions' efficacy. , 2018, International journal of nursing studies.

[38]  B. Stubbs,et al.  Anxiety disorders in postpartum women: A systematic review and meta-analysis. , 2016, Journal of affective disorders.

[39]  M. Broom,et al.  Feasibility and Perception of Using Text Messages as an Adjunct Therapy for Low-Income, Minority Mothers With Postpartum Depression , 2015, JMIR mental health.

[40]  H. Brown,et al.  Perinatal health outcomes and care among asylum seekers and refugees: a systematic review of systematic reviews , 2018, BMC Medicine.

[41]  L. Chlan,et al.  Development of a Shortened State Anxiety Scale From the Spielberger State-Trait Anxiety Inventory (STAI) for Patients Receiving Mechanical Ventilatory Support , 2003, Journal of Nursing Measurement.

[42]  Misha W. Vaughan,et al.  e‐Health and new moms: Contextual factors associated with sources of health information , 2017, Public health nursing.

[43]  K. Sliwa,et al.  Short message service (SMS) as an educational tool during pregnancy: A literature review , 2016 .

[44]  Andrea Hunter,et al.  Maternal Knowing and Social Networks: Understanding First-Time Mothers’ Search for Information and Support Through Online and Offline Social Networks , 2018, Qualitative health research.

[45]  K. Leung,et al.  The Effect of Telephone-Based Cognitive-Behavioral Therapy on Postnatal Depression: A Randomized Controlled Trial , 2015, Psychotherapy and Psychosomatics.

[46]  Amit Baumel,et al.  Digital Peer-Support Platform (7Cups) as an Adjunct Treatment for Women With Postpartum Depression: Feasibility, Acceptability, and Preliminary Efficacy Study , 2018, JMIR mHealth and uHealth.

[47]  K. Klipstein‐Grobusch,et al.  Assessing the Effect of mHealth Interventions in Improving Maternal and Neonatal Care in Low- and Middle-Income Countries: A Systematic Review , 2016, PloS one.

[48]  C. Dennis,et al.  Quasi-experimental evaluation of a telephone-based peer support intervention for maternal depression. , 2015, Journal of advanced nursing.

[49]  K. Bennett,et al.  The Postpartum Specific Anxiety Scale: development and preliminary validation , 2016, Archives of Women's Mental Health.

[50]  P. Middleton,et al.  The Effect of Mobile App Interventions on Influencing Healthy Maternal Behavior and Improving Perinatal Health Outcomes: Systematic Review , 2018, JMIR mHealth and uHealth.

[51]  Rennie Negron,et al.  Social Support During the Postpartum Period: Mothers’ Views on Needs, Expectations, and Mobilization of Support , 2013, Maternal and Child Health Journal.

[52]  D. Colaci,et al.  mHealth Interventions in Low-Income Countries to Address Maternal Health: A Systematic Review. , 2017, Annals of global health.

[53]  M. Brown,et al.  Social Support During Pregnancy: A Unidimensional Or Multidimensional Construct? , 1986, Nursing research.

[54]  C. Barnes,et al.  Perceived Maternal Parenting Self-Efficacy (PMP S-E) tool: development and validation with mothers of hospitalized preterm neonates. , 2007, Journal of advanced nursing.

[55]  C. Dennis Psychosocial and psychological interventions for prevention of postnatal depression: systematic review , 2005, BMJ : British Medical Journal.

[56]  Diederick E Grobbee,et al.  Effectiveness of mHealth Interventions Targeting Health Care Workers to Improve Pregnancy Outcomes in Low- and Middle-Income Countries: A Systematic Review , 2016, Journal of medical Internet research.

[57]  O. Bruyère,et al.  The internet as a source of information used by women after childbirth to meet their need for information: A web-based survey. , 2017, Midwifery.

[58]  Jay M Bernhardt,et al.  Online Pediatric Information Seeking Among Mothers of Young Children: Results From a Qualitative Study Using Focus Groups , 2004, Journal of medical Internet research.

[59]  Priscilla Robinson,et al.  Online Resources for New Mothers: Opportunities and Challenges for Perinatal Health Professionals , 2012, The Journal of Perinatal Education.

[60]  Y. Chan,et al.  Prevalence and incidence of postpartum depression among healthy mothers: A systematic review and meta-analysis. , 2018, Journal of psychiatric research.

[61]  Toshio Kobayashi,et al.  Short-term behavioral changes in pregnant women after a quit-smoking program via e-learning: a descriptive study from Japan. , 2012, Nursing & health sciences.