Mobile Health for Perinatal Depression and Anxiety: Scoping Review

Factors Impacting Mobile Health Adoption for Depression Care and Support by Adolescent Mothers in Nigeria: Preliminary Focus Group Study

BACKGROUND

Mobile health (mHealth), the use of mobile technology in health care, is increasingly being used for mental health service delivery even in low- and middle-income countries to scale up treatment, and a variety of evidence supports their potential in different populations.

OBJECTIVE

This study aims to use the Social Cognitive Theory (SCT) as a lens to explain knowledge of mHealth use for mental health care, personal behavioral capabilities, and the external social contexts that can impact the adoption of an mHealth app for depression care among perinatal adolescents in Nigeria.

METHODS

At the preliminary stage of a user-centered design (UCD), 4 focus group discussions were conducted among 39 participants: 19 perinatal adolescents with a history of depression and 20 primary care providers. Guided by the SCT, a popular model used for predicting and explaining health behaviors, we documented participants' knowledge of mHealth use for health purposes, advantages, and challenges to the adoption of an mHealth app by young mothers, and approaches to mitigate challenges. Data collection and analysis was an iterative process until saturation of all topic areas was reached.

RESULTS

The mean age for young mothers was 17.3 (SD 0.9) years and 48 (SD 5.8) years for care providers. Mistrust from relatives on mobile phone use for therapeutic purposes, avoidance of clinic appointments, and sharing of application contents with friends were some challenges to adoption identified in the study population. Supportive personal factors and expressions of self-efficacy on mobile app use were found to be insufficient for adoption. This is because there are social complications and disapprovals that come along with getting pregnant at a young age. Adequate engagement of parents, guardians, and partners on mHealth solutions by care providers was identified as necessary to the uptake of digital tools for mental health care in this population.

CONCLUSIONS

The SCT guided the interpretations of the study findings. Young mothers expressed excitement at the use of mHealth technology to manage perinatal depression. Real-life challenges, however, need to be attended to for successful implementation of such interventions. Communications between care providers and patients' relatives on the therapeutic use of mHealth are vital to the success of a mHealth mental health management plan for depression in young mothers in Nigeria.

Chatbot to Support the Mental Health Needs of Pregnant and Postpartum Women (Moment for Parents): Design and Pilot Study

Background

Maternal mental health disorders are prevalent, yet many individuals do not receive adequate support due to stigma, financial constraints, and limited access to care. Digital interventions, particularly chatbots, have the potential to provide scalable, low-cost support, but few are tailored specifically to the needs of perinatal individuals.

Objective

This study aimed to (1) design and develop Moment for Parents, a tailored chatbot for perinatal mental health education and support, and (2) assess usability through engagement, usage patterns, and user experience.

Methods

This study used a human-centered design to develop Moment for Parents, a rules-based chatbot to support pregnant and postpartum individuals. In phase 1, ethnographic interviews (n=43) explored user needs to inform chatbot development. In phase 2, a total of 108 pregnant and postpartum individuals were recruited to participate in a pilot test and had unrestricted access to the chatbot. Engagement was tracked over 8 months to assess usage patterns and re-engagement rates. After 1 month, participants completed a usability, relevance, and satisfaction survey, providing key insights for refining the chatbot.

Results

Key themes that came from the ethnographic interviews in phase 1 included the need for trusted resources, emotional support, and better mental health guidance. These insights informed chatbot content, including mood-based exercises and coping strategies. Re-engagement was high (69/108, 63.9%), meaning users who had stopped interacting for at least 1 week returned to the chatbot at least once. A large proportion (28/69, 40.6%) re-engaged 3 or more times. Overall, 28/30 (93.3%) found the chatbot relevant for them, though some noted repetitive content and limited response options.

Conclusions

The Moment for Parents chatbot successfully engaged pregnant and postpartum individuals with higher-than-typical retention and re-engagement patterns. The findings underscore the importance of flexible, mood-based digital support tailored to perinatal needs. Future research should examine how intermittent chatbot use influences mental health outcomes and refine content delivery to enhance long-term engagement and effectiveness.

The effect of DECO-MOM mobile application for a prenatal environmental health program on environmental health behaviors: a pilot test

BACKGROUND

The DECO-MOM mobile program was developed to enhance prenatal environmental health behaviors among pregnant women, addressing the challenges of climate change and environmental pollution. This pilot study aimed to assess the feasibility and preliminary impacts of the DECO-MOM app on personal and community health behaviors, quality of life, subjective health status, depression, anxiety, and e-learning satisfaction, guided by the revised protection motivation theory.

METHODS/DESIGN

This non-randomized controlled study employed a pre-post-test design with experimental and control groups. The study analyzed data from 31 participants in the experimental group and 34 in the control group after a four-week mobile application intervention conducted from September 26 to October 24, 2023, in three cities in South Korea.

RESULTS

The experimental group demonstrated significant improvements in personal environmental health behaviors (p = .003), community environmental health behaviors (p = .001), quality of life (p = .043), and e-learning satisfaction (p = .005) compared to the control group. Significant increases were observed in subcategories such as lifestyle (p = .005), dust (p < .001), reduction (p = .011), involvement (p = .007), recycling (p = .005), reuse (p = .035), content (p < .001), and communication (p = .039). However, no significant increases were found in subjective health status, depression, or anxiety.

DISCUSSION

The DECO-MOM app demonstrated feasibility and potential as a mobile health tool to promote environmental health behaviors among pregnant women. Future studies should explore the long-term effects, scalability, and integration of psychological support features to optimize outcomes.

TRIAL REGISTRATION

Trial registration Number: KCT0007725, Registered September 22, 2022. Prospectively registered.

"I'm not alone": perinatal women's experiences in an online self-directed program for perinatal anxiety

BACKGROUND

Anxiety is highly prevalent during pregnancy and postpartum, and access to treatment can be difficult due to a range of barriers (e.g., time, distance, and service availability). Online treatments have the potential to circumvent these barriers and may, therefore, be beneficial for the perinatal population. The present study leveraged qualitative methods to understand participants' perspectives on their use of a six-module online self-directed Cognitive Behavioral Therapy (CBT) program for perinatal anxiety as part of a randomized controlled trial.

METHODS

A mixed qualitative method design was used for this study. A total of 95 perinatal women were randomized to an intervention or waitlist control condition for an online self-directed program (Overcoming Perinatal Anxiety; OPA). Both waitlist and intervention participants provided open-ended feedback on each module via online surveys. A subset of individuals (n = 20) assigned to the intervention condition completed a virtual qualitative interview about their experiences using the program. Data obtained from open-ended survey questions and qualitative interviews were analyzed using Conventional Content Analysis (open-ended survey) and Reflexive Thematic Analysis (interviews).

RESULTS

Open-ended survey data were categorized into three themes, with associated sub-themes: User experience (subthemes: accessibility and modality), Perceptions of content (sub-themes: validating, informative, hopeful, anxiety-inducing, emotionally "heavy", and helpful), and Barriers to program engagement (subthemes: lack of time and energy, technical difficulties, challenging and external factors). Qualitative interview data were categorized into the following main themes, with associated subthemes: Tensions in engaging with the self-directed program (subthemes: connecting and multi-tasking, "finding the time," module length and pacing, pen to paper, and "thanks for the reminder but don't rush me"), "I'm not alone," (subthemes: relating to the content, sharing anxiety with "inner circle," and voicing a desire to connect with other "moms feeling the same way"), and "I'm managing my anxiety" (subthemes: "understanding my anxiety," using "strategies to help with my anxiety," "taking time for myself," and moving forward).

CONCLUSION

Findings highlight that online self-directed treatment can be an acceptable and feasible option for perinatal anxiety. Findings show promise for the scalability of OPA to improve access to psychological treatment for perinatal people experiencing anxiety.

TRIAL REGISTRATION

Clinical Trial Identifier: NCT04844138 (clinicaltrials.gov). Trial registration submitted: [April 5, 2021] accepted: [April 14, 2021].

The Research Agenda for Perinatal Innovation and Digital Health Project: Human-Centered Approach to Multipartner Research Agenda Codevelopment

BACKGROUND

Digital health innovations provide an opportunity to improve access to care, information, and quality of care during the perinatal period, a critical period of health for mothers and infants. However, research to develop perinatal digital health solutions needs to be informed by actual patient and health system needs in order to optimize implementation, adoption, and sustainability.

OBJECTIVE

Our aim was to co-design a research agenda with defined research priorities that reflected health system realities and patient needs.

METHODS

Co-design of the research agenda involved a series of activities: (1) review of the provincial Digital Health Strategy and Maternity Services Strategy to identify relevant health system priorities, (2) anonymous survey targeting perinatal care providers to ascertain their current use and perceived need for digital tools, (3) engagement meetings using human-centered design methods with multilingual patients who are currently or recently pregnant to understand their health experiences and needs, and (4) a workshop that brought together patients and other project partners to prioritize identified challenges and opportunities for perinatal digital health in a set of research questions. These questions were grouped into themes using a deductive analysis approach starting with current BC Digital Health Strategy guiding principles.

RESULTS

Between September 15, 2022, and August 31, 2023, we engaged with more than 150 perinatal health care providers, researchers, and health system stakeholders and a patient advisory group of women who were recently pregnant to understand the perceived needs and priorities for digital innovation in perinatal care in British Columbia, Canada. As a combined group, partners were able to define 12 priority research questions in 3 themes. The themes prioritized are digital innovation for (1) patient autonomy and support, (2) standardized educational resources for patients and providers, and (3) improved access to health information.

CONCLUSIONS

Our research agenda highlights the needs for perinatal digital health research to support improvements in the quality of care in British Columbia. By using a human-centered design approach, we were able to co-design research priorities that are meaningful to patients and health system stakeholders. The identified priority research questions are merely a stepping stone in the research process and now need to be actioned by research teams and health systems partners.

Feasibility of a Mobile App-Based Cognitive-Behavioral Perinatal Skills Program: Protocol for Nonrandomized Pilot Trial

BACKGROUND

Mental illness is one of the top causes of preventable pregnancy-related deaths in the United States. There are many barriers that interfere with the ability of perinatal individuals to access traditional mental health care. Digital health interventions, including app-based programs, have the potential to increase access to useful tools for these individuals. Although numerous mental health apps exist, there is little research on developing programs to address the unique needs of perinatal individuals. In an effort to fill this gap, a multidisciplinary team of experts in psychology, psychiatry, obstetrics, and pediatric primary care collaborated to develop the novel Perinatal Skills Program within Maya, a flexible and customizable cognitive-behavioral skills app. Maya-Perinatal Skills Program (M-PSP) uses evidence-based strategies to help individuals manage their mood and anxiety symptoms during pregnancy and post partum.

OBJECTIVE

This pilot study aims to assess the feasibility, acceptability, and usability of M-PSP and explore links between program use and symptoms of anxiety and low mood.

METHODS

This single-arm trial will recruit 50 pregnant or postpartum individuals with mild-to-moderate anxiety or mood symptoms. Participants will be recruited from a variety of public and private insurance-based psychiatry, obstetrics, and primary care clinics at a large academic medical center located in New York City. Participants will complete all sessions of M-PSP and provide feedback. Outcome measures will include qualitative and quantitative assessments of feasibility, acceptability, and usability, passively collected program usage data, and symptom measures assessing mood, anxiety, and trauma. Planned data analysis includes the use of the grounded theory approach to identify common themes in qualitative feedback, as well as an exploration of possible associations between quantitative data regarding program use and symptoms.

RESULTS

The recruitment began on August 2023. As of October 2024, a total of 32 participants have been enrolled. The recruitment will continue until 50 participants have been enrolled.

CONCLUSIONS

Digital health interventions, like M-PSP, have the potential to create new pathways to reach individuals struggling with their mental health. The results of this study will be the groundwork for future iterations of M-PSP in the hopes of providing an accessible and helpful tool for pregnant and postpartum individuals.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05897619; https://classic.clinicaltrials.gov/ct2/show/NCT05897619.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/59461.

Predictors of Participation in a Perinatal Text Message Screening Protocol for Maternal Depression and Anxiety: Prospective Cohort Study

BACKGROUND

Universal screening for depression and anxiety in pregnancy has been recommended by several leading medical organizations, but the implementation of such screening protocols may overburden health care systems lacking relevant resources. Text message screening may provide a low-cost, accessible alternative to in-person screening assessments. However, it is critical to understand who is likely to participate in text message-based screening protocols before such approaches can be implemented at the population level.

OBJECTIVE

This study aimed to examine sources of selection bias in a texting-based screening protocol that assessed symptoms of depression and anxiety across pregnancy and into the postpartum period.

METHODS

Participants from the Montreal Antenatal Well-Being Study (n=1130) provided detailed sociodemographic information and completed questionnaires assessing symptoms of depression (Edinburgh Postnatal Depression Scale [EPDS]) and anxiety (State component of the State-Trait Anxiety Inventory [STAI-S]) at baseline between 8 and 20 weeks of gestation (mean 14.5, SD 3.8 weeks of gestation). Brief screening questionnaires, more suitable for delivery via text message, assessing depression (Whooley Questions) and anxiety symptoms (Generalized Anxiety Disorder 2-Item questionnaire) were also collected at baseline and then via text message at 14-day intervals. Two-tailed t tests and Fisher tests were used to identify maternal characteristics that differed between participants who responded to the text message screening questions and those who did not. Hurdle regression models were used to test if individuals with a greater burden of depression and anxiety at baseline responded to fewer text messages across the study period.

RESULTS

Participants who responded to the text messages (n=933) were more likely than nonrespondents (n=114) to self-identify as White (587/907, 64.7% vs 39/96, 40.6%; P<.001), report higher educational attainment (postgraduate: 268/909, 29.5% vs 15/94, 16%; P=.005), and report higher income levels (CAD $150,000 [a currency exchange rate of CAD $1=US $0.76 is applicable] or more: 176/832, 21.2% vs 10/84, 11.9%; P<.001). There were no significant differences in symptoms of depression and anxiety between the 2 groups at baseline or postpartum. However, baseline depression (EPDS) or anxiety (STAI-S) symptoms did predict the total number of text message time points answered by participants, corresponding to a decrease of 1% (eβ=0.99; P<.001) and 0.3% (eβ=0.997; P<.001) in the number of text message time points answered per point increase in EPDS or STAI-S score, respectively.

CONCLUSIONS

Findings from this study highlight the feasibility of text message-based screening protocols with high participation rates. However, our findings also highlight how screening and service delivery via digital technology could exacerbate disparities in mental health between certain patient groups.

Comprehensive synthesis of mHealth interventions in psychiatry: insights from systematic, scoping, narrative reviews and content analysis

INTRODUCTION

Mobile health (mHealth) technologies, including smartphone apps and wearables, have improved health care by providing innovative solutions for monitoring, education and treatment, particularly in mental health.

METHOD

This review synthesises findings from a series of reviews on mHealth interventions in psychiatry. Publications were systematically searched in PubMed, MEDLINE, PsycINFO, ScienceDirect, Scopus, Web of Science and Cochrane Library.

RESULTS

Out of 2147 records, 111 studies from 2014 to 2024 focusing on anxiety and depression were included. These studies highlight the effectiveness of mHealth interventions in reducing symptoms through cognitive-behavioural therapy, mindfulness and psychoeducation, benefitting adolescents, perinatal women and marginalised groups. Additionally, mHealth shows promise in managing substance use disorders and severe mental illnesses like schizophrenia, bipolar disorder and psychosis.

CONCLUSION

Despite positive outcomes, challenges such as data privacy, user engagement and healthcare integration persist. Further robust trials and evidence-based research are needed to validate the efficacy of mHealth technologies.

Peer support and mobile health for perinatal mental health: A scoping review

BACKGROUND

Up to one in five women experience perinatal depression and/or anxiety with profound negative consequences for mothers and families. Peer support interventions have the potential to effectively prevent perinatal mental health conditions. Meanwhile, mobile health has gained popularity and plays a significant role in enhancing maternal health services. However, little is known about the availability of mobile health combined with peer support for supporting perinatal mental health. This scoping review aimed to map the relevant literature and gain insights into the available evidence on mobile health and peer support for perinatal mental health, to identify gaps and inform opportunities for future research.

METHODS

A scoping review of the literature was conducted. The search strategy included five databases: CIANHL, Scopus, PsycInfo, PubMed, and ScienceDirect for the period from 2007 to 2022.

RESULTS

Eight studies met the inclusion criteria, including features of online support strategies, effectiveness, and attitudes of women about peer support with mobile health. The results showed decreased depressive scores and provided a positive experience for women. Strong satisfaction with accessibility and flexibility of mobile health was found when combined with the peer support features. Additional emotional support tools (e.g., mindfulness-based activities) were likely to be acceptable to women and beneficial to mobile health.

CONCLUSIONS

Understanding the context of peer support and mobile health informs the potential to support perinatal mental health. Further research in this growing area is needed to test the effectiveness of peer support in combination with mobile health intervention for supporting perinatal mental health.

A Chatbot (Juno) Prototype to Deploy a Behavioral Activation Intervention to Pregnant Women: Qualitative Evaluation Using a Multiple Case Study

BACKGROUND

Despite the increasing focus on perinatal care, preventive digital interventions are still scarce. Furthermore, the literature suggests that the design and development of these interventions are mainly conducted through a top-down approach that limitedly accounts for direct end user perspectives.

OBJECTIVE

Building from a previous co-design study, this study aimed to qualitatively evaluate pregnant women's experiences with a chatbot (Juno) prototype designed to deploy a preventive behavioral activation intervention.

METHODS

Using a multiple-case study design, the research aims to uncover similarities and differences in participants' perceptions of the chatbot while also exploring women's desires for improvement and technological advancements in chatbot-based interventions in perinatal mental health. Five pregnant women interacted weekly with the chatbot, operationalized in Telegram, following a 6-week intervention. Self-report questionnaires were administered at baseline and postintervention time points. About 10-14 days after concluding interactions with Juno, women participated in a semistructured interview focused on (1) their personal experience with Juno, (2) user experience and user engagement, and (3) their opinions on future technological advancements. Interview transcripts, comprising 15 questions, were qualitatively evaluated and compared. Finally, a text-mining analysis of transcripts was performed.

RESULTS

Similarities and differences have emerged regarding women's experiences with Juno, appreciating its esthetic but highlighting technical issues and desiring clearer guidance. They found the content useful and pertinent to pregnancy but differed on when they deemed it most helpful. Women expressed interest in receiving increasingly personalized responses and in future integration with existing health care systems for better support. Accordingly, they generally viewed Juno as an effective momentary support but emphasized the need for human interaction in mental health care, particularly if increasingly personalized. Further concerns included overreliance on chatbots when seeking psychological support and the importance of clearly educating users on the chatbot's limitations.

CONCLUSIONS

Overall, the results highlighted both the positive aspects and the shortcomings of the chatbot-based intervention, providing insight into its refinement and future developments. However, women stressed the need to balance technological support with human interactions, particularly when the intervention involves beyond preventive mental health context, to favor a greater and more reliable monitoring.

Health economic evaluation of an electronic mindfulness-based intervention (eMBI) to improve maternal mental health during pregnancy - a randomized controlled trial (RCT)

BACKGROUND

Anxiety and depression are the most prevalent psychiatric diseases in the peripartum period. They can lead to relevant health consequences for mother and child as well as increased health care resource utilization (HCRU) and related costs. Due to the promising results of mindfulness-based interventions (MBI) and digital health applications in mental health, an electronic MBI on maternal mental health during pregnancy was implemented and assessed in terms of transferability to standard care in Germany. The present study focused the health economic outcomes of the randomized controlled trial (RCT).

METHODS

The analysis, adopting a payer's and a societal perspective, included women of increased emotional distress at < 29 weeks of gestation. We applied inferential statistics (α = 0.05 significance level) to compare the intervention group (IG) and control group (CG) in terms of HCRU and costs. The analysis was primarily based on statutory health insurance claims data which covered the individual observational period of 40 weeks.

RESULTS

Overall, 258 women (IG: 117, CG: 141) were included in the health economic analysis. The results on total health care costs from a payer's perspective indicated higher costs for the IGi compared to the CG (Exp(ß) = 1.096, 95% CI: 1.006-1.194, p = 0.037). However, the estimation was not significant after Bonferroni correction (p < 0.006). Even the analysis from a societal perspective as well as sensitivity analyses did not show significant results.

CONCLUSIONS

In the present study, the eMBI did neither reduced nor significantly increased health care costs. Further research is needed to generate robust evidence on eMBIs for women suffering from peripartum depression and anxiety.

TRIAL REGISTRATION

German Clinical Trials Register: DRKS00017210. Registered on 13 January 2020. Retrospectively registered.

Prevalence and factors associated with antenatal depressive symptoms across trimesters: a study of 110,584 pregnant women covered by a mobile app-based screening programme in Shenzhen, China

BACKGROUND

Antenatal depression is a significant public health issue affecting pregnant women both globally and in China. Using data from a mobile app-based screening programme, this study explored the prevalence and factors associated with antenatal depressive symptoms across different trimesters in Shenzhen.

METHODS

A retrospective cross-sectional study was conducted on pregnant women who gave birth in any hospital in Shenzhen between July 2021 and May 2022 and underwent depression screening using an official maternal and infant health mobile app at least once during pregnancy. Depressive symptoms were evaluated using the 9-item Patient Health Questionnaire (PHQ-9), with cut-off scores of 5 and 10 for mild and high level of symptoms, respectively. The prevalence for each trimester was determined by calculating the proportion of women scoring 5 or higher. A variety of sociodemographic, obstetric, psychological, and lifestyle factors were assessed for their association with depressive symptoms. Chi-square test and multivariate logistic regression were performed to identify significant predictors.

RESULTS

A total of 110,584 pregnant women were included in the study, with an overall prevalence of depressive symptoms of 18.0% and a prevalence of high-level symptoms of 4.2%. Depressive symptoms were most prevalent in the first trimester (10.9%) and decreased in the second (6.2%) and third trimesters (6.3%). Only a small proportion (0.4%) of women showed persistent depressive symptoms across all trimesters. Anxiety symptoms in early pregnancy emerged as the most significant predictor of depressive symptoms. Other factors linked to an increased risk throughout pregnancy include lower marital satisfaction, living with parents-in-law, experience of negative life events, as well as drinking before and during pregnancy. Factors associated with a reduced risk throughout pregnancy include multiparity and daily physical activity.

CONCLUSIONS

This large-scale study provides valuable insights into the prevalence and factors associated with antenatal depressive symptoms in Shenzhen. The findings underscore the need for targeted interventions for high-risk groups and the integration of mental health care into routine antenatal services. Continuous, dynamic monitoring of depressive symptoms for pregnant women and ensuring at-risk women receive comprehensive follow-up and appropriate psychological or psychiatric care are crucial for effectively addressing antenatal depression and improving maternal and infant health outcomes.

Current state and practical recommendations on reproductive mental health: a narrative review

Emotional disorders (EDs) are highly prevalent during the reproductive period, including pregnancy, postpartum, and women undergoing fertility treatments. International guidelines are increasingly suggesting the need to evaluate, prevent, and treat EDs in those women. The main aim of this narrative review is to summarize current practice in the field of EDs management during fertility treatments, pregnancy, and the postpartum and to propose a new technology-based model of care that helps to provide psychological care to all women who are in these periods. Four different databases (Pubmed, Scopus, Science Direct, Web of Science) were consulted. Selected keywords were related with infertility, pregnancy, postpartum, EDs, assessment, prevention, treatment, and technologies. We identified 1603 studies and 43 were included in this review. According to these studies, different face-to-face protocols already exist to manage EDs in women undergoing fertility treatments, pregnant or at the postpartum. We noticed an increased interest in developing technology-based solutions to overcome the limitations of traditional mental healthcare services. However, we also detected some issues in the use of technologies (i.e. increased attention to the postpartum or the lack of transdiagnostic approaches). Our results evidenced that there is still a need to develop modern, well-designed, and conceptually-relevant ICT-based programs to be used in women undergoing fertility treatments, pregnant or at the postpartum.

A Digital Behavioral Activation Intervention (JuNEX) for Pregnant Women With Subclinical Depression Symptoms: Explorative Co-Design Study

BACKGROUND

Digital interventions are gaining increasing interest due to their structured nature, ready availability, and self-administered capabilities. Perinatal women have expressed a desire for such interventions. In this regard, behavioral activation interventions may be particularly suitable for digital administration.

OBJECTIVE

This study aims to exploratorily investigate and compare the feasibility of the internet-based self-help guided versus unguided version of the Brief Behavioral Activation Treatment for Depression-Revised, an empirically supported in-person behavioral activation protocol, targeting pregnant women with subclinical depression symptoms. A user-centered design is used, whereby data are collected with the intent of evaluating how to adjust the intervention in line with pregnant women's needs. Usability and user engagement were evaluated.

METHODS

A total of 11 Italian pregnant women with subclinical depressive symptoms based on the Patient Health Questionnaire-9 (scoring<15) participated in this study; of them, 6 (55%) women were randomly assigned to the guided group (age: mean 32.17, SD 4.36 years) and 5 (45%) to the unguided group (age: mean 31, SD 4.95 years). The Moodle platform was used to deliver the interventions in an e-learning format. It consisted of 6 core modules and 3 optional modules; the latter aimed at revising the content of the former. In the guided group, each woman had weekly chats with their assigned human guide to support them in the homework revisions. The intervention content included text, pictures, and videos. Semistructured interviews were conducted, and descriptive statistics were analyzed.

RESULTS

Collectively, the data suggest that the guided intervention was better accepted than the unguided one. However, the high rates of dropout (at T6: guided group: 3/6, 50%; unguided: 4/5, 80%) suggest that a digital replica of Behavioral Activation Treatment for Depression-Revised may not be feasible in an e-learning format. The reduced usability of the platform used was reported, and homework was perceived as too time-consuming and effort-intensive. Moreover, the 6 core modules were deemed sufficient for the intervention's goals, suggesting that the 3 optional modules could be eliminated. Nevertheless, participants from both groups expressed satisfaction with the content and found it relevant to their pregnancy experiences.

CONCLUSIONS

Overall, the findings have emphasized both the intervention's merits and shortcomings. Results highlight the unsuitability of replicating an in-person protocol digitally as well as of the use of nonprofessional tools for the implementation of self-help interventions, ultimately making the intervention not feasible. Pregnant women have nonetheless expressed a desire to receive psychological support and commented on the possibilities of digital psychosocial supports, particularly those that are app-based. The information collected and the issues identified here are important to guide the development and co-design of a more refined platform for the intervention deployment and to tailor the intervention's content to pregnant women's needs.

A Supported Online Resilience-Enhancing Intervention for Pregnant Women: A Non-Randomized Pilot Study

A 28-week supported online intervention for pregnant women, informed by the Behavior Change Wheel Framework, was developed. The intervention included exercises, group sessions and a peer support platform. The aim of this study was to examine the potential effectiveness of the intervention in enhancing resilience and promoting maternal mental health. Using a quasi-experimental design, assessments were conducted at baseline, postintervention and follow-ups at six and 12 months after childbirth. Resilience, resilience attributes, and maternal mental health were measured using standardised scales. The intervention group received the intervention (N = 70), while the control group (N = 32) received care-as-usual. A repeated-measures ANOVA was used to determine within- and between-group changes. Results showed no significant differences between groups regarding resilience and maternal mental health. However, the intervention group demonstrated stable resilience (p = 0.320) compared to a significant decrease in the control group (p = 0.004). Within the intervention group, perceived social support remained stable during the intervention, but decreased significantly at the first follow-up (p = 0.012). All participants faced additional stress from the COVID-19 pandemic alongside the challenges of parenthood. This study contributes to maternal mental health literature with an innovative, supported online intervention. The intervention consists of different deployable components, designed to be offered online, and the current pilot data are promising. Further research is warranted to explore its full potential in clinical practice.

Acceptability and Utility of a Digital Group Intervention to Prevent Perinatal Depression in Youths via Interactive Maternal Group for Information and Emotional Support (IMAGINE): Pilot Cohort Study

BACKGROUND

Perinatal depression (depression during pregnancy or the first year postpartum) affects 10%-25% of perinatal individuals, with a higher risk among youths aged <25 years. The Mothers and Babies Course (MB) is an evidence-based intervention for the prevention of perinatal depression, grounded in cognitive behavioral therapy, attachment theory, and psychoeducation.

OBJECTIVE

We developed a digital adaptation of MB (Interactive Maternal Group for Information and Emotional Support [IMAGINE]) and evaluated it in a pre-post mixed methods pilot among young perinatal people in the United States.

METHODS

IMAGINE was a structured digital group of up to 7 participants, with scheduled MB content and open discussion for 12 weeks, facilitated by a social worker. Scheduled content included asynchronous SMS text messages, graphics, prerecorded videos, mood polls, and optional weekly synchronous video calls. Eligible participants were pregnant or ≤80 days postpartum, aged 16 to 24 years, had access to a smartphone, spoke English, and had a Patient Health Questionnaire score <10. Participants were recruited throughout the United States from August 2020 to January 2021 through paid social media ads, in-person outreach at clinics, and respondent-driven sampling. Participants completed quantitative questionnaires at enrollment and 3 months, and qualitative interviews at 3 months. We determined uptake, acceptability (by Acceptability of Intervention Measure score), and utility (by use of cognitive behavioral therapy skills). We compared depression symptoms (by Patient Health Questionnaire score), social support (by abbreviated Social Support Behavior score), and perceived stress (by Perceived Stress Score) between enrollment and follow-up by paired 2-tailed t test.

RESULTS

Among 68 individuals who contacted this study, 22 were screened, 13 were eligible, and 10 enrolled, for an uptake of 76.9%. Furthermore, 4 (40%) participants were pregnant at enrollment. Participants had a median age of 17.9 (IQR 17.4-21.7) years, 6 (67%) identified as Black, 5 (56%) Latinx, and 6 (67%) using Medicaid health insurance. Further, 9 (90%) participants completed follow-up. Among these, the mean acceptability score was 4.3 out of 5 (SD 0.6) and all participants said they would recommend IMAGINE to a friend. Participants reported using a median of 7 of 11 skills (IQR 5-7 skills) at least half the days. We found no significant changes in depression symptoms, perceived stress, or social support. Qualitatively, participants reported one-to-one support from the facilitator, connection with other parents, and regular mood reflection were especially helpful aspects of the intervention. Additionally, participants reported that the intervention normalized their mental health challenges, improved their ability to manage their mood, and increased their openness to mental health care.

CONCLUSIONS

This pilot study provides promising evidence of the acceptability and utility of IMAGINE among perinatal youths. Our study's small sample size did not detect changes in clinical outcomes; our findings suggest IMAGINE warrants larger-scale evaluation.

Psychoeducation as an active ingredient for interventions for perinatal depression and anxiety in youth: a mixed-method systematic literature review and lived experience synthesis

BACKGROUND

Psychoeducation is a common element in psychological interventions for youth depression and anxiety, but evidence about its use with youth perinatally is limited.

AIMS

This review aims to understand outcomes and mechanisms of psychoeducation for the indicated prevention and treatment of perinatal depression and anxiety in youth.

METHOD

For this review, we synthesised published quantitative and qualitative evidence. Seven databases (ASSIA, Medline, PubMed, PsycINFO, PsycArticles, Scopus and Web of Science) were searched for studies published before 10 August 2021. We also had consultations with a youth advisory group (N = 12).

RESULTS

In total, 20 studies met the inclusion criteria. Seven quantitative studies examined multicomponent interventions that included psychoeducation, and one study evaluated psychoeducation as a standalone intervention for postnatal depression. Multicomponent interventions showed significant effects on postnatal depression in two out of six studies, as well as being effective at reducing prenatal anxiety in one study. Standalone psychoeducation for postnatal depression was also effective in one study. Evidence from 12 qualitative studies, corroborated by commentaries from the youth advisory group, suggested that psychoeducation could increase knowledge about symptoms, generate awareness of relevant services and enhance coping.

CONCLUSIONS

Psychoeducation may be an important foundational ingredient of interventions for perinatal depression and, potentially, anxiety in adolescents and young adults through stimulating help-seeking and self-care.

Intention to use a mobile phone to receive mental health support and its predicting factors among women attending antenatal care at public health facilities in Ambo town, West Shoa zone, Ethiopia 2022

BACKGROUND

Mental health problems are the most common morbidities of women during the prenatal period. In LMICs mobile phones have been identified as a good vehicle for monitoring individuals with a high risk of mental health conditions. However, evidence is scarce and the purpose of this study was to assess the intention to use a mobile phone to receive mental health support and its predicting factors among women attending antenatal care at public health facilities in Ambo town, Ethiopia 2022.

METHODS AND MATERIALS

An institutional-based cross-sectional study design was conducted from May 20th to June 20th, 2022. A total of 715 prenatal women were included and a systematic random sampling technique was employed. An interviewer-administered structured questionnaire was used. Collected data was exported to SPSS version 25 for the descriptive part, and AMOS 26 structural equation modeling was also used to describe and assess the degree and significance of relationships between variables.

RESULTS

A total of 699 (97.8% response rate) responded to complete all the questionnaires. About 530 (77.3%) 95% CI (74%-80.3%) of women intended to use a mobile phone to receive mental health support. The perceived usefulness has a positive effect on attitude (β = 0.391, p < 0.001) and intention to use (β = 0.253, p < 0.001). The perceived ease of use influences perceived usefulness (β = 0.253, p < 0.001) and attitude β = 0.579, p < 0.001). The intention to use is positively affected by attitude (β = 0.662, p < 0.001).Trust has a positive effect on perceived usefulness (β = 0.580, p < 0.001) and intention to use (β = 0.113, p = 0.005). Subjective norm has a direct positive effect on perceived usefulness (β = 0.248, p < 0.001). Attitude serves as a partial mediator between perceived usefulness and intention to use and a complete mediating role between perceived ease of use and intention to use.

CONCLUSION

The level of intention to use a mobile phone among prenatal women is relatively high and attitude, perceived usefulness, and trust had direct positive effects on intention to use a mobile phone. Therefore, hospitals and healthcare providers should take proactive measures to implement the strategies and policies for providing mobile phone-based mental health support to prenatal women in remote areas.

Using an Electronic Mindfulness-based Intervention (eMBI) to improve maternal mental health during pregnancy: Results from a randomized controlled trial

Prevalence rates of peripartum depression and anxiety are high and correlate with adverse maternal and neonatal outcomes. Mindfulness-based interventions (MBI) have been shown to reduce mental distress during pregnancy. A multicenter, randomized controlled study was conducted after screening for depressive symptoms. The intervention group (IG) was given access to an 8-week supervised eMBI between weeks 29 and 36 of pregnancy and followed up to 5 months postpartum. Psychometric data were collected using the Edinburgh Postnatal Depression Scale (EPDS), the State-Trait Anxiety Inventory (STAI), the Pregnancy-Related Anxiety Questionnaire (PRAQ-R), the Freiburg Mindfulness Inventory (FMI-14) as well as the Patient Health Questionnaire (PHQ). Out of 5299 pregnant women, 1153 scored >9 on the EPDS and N = 460 were included in the RCT. No significant interaction effects for depressive symptoms and anxiety were found. Pregnancy- and birth-related anxiety decreased significantly in the IG and 6 weeks after birth, the rate of women at risk for adverse mental outcome was significantly lower compared to the CG. Mindfulness scores improved significantly in the IG. The eMBI program did not show effective regarding general depressive or anxiety symptoms, however, positive results were demonstrated regarding pregnancy and birth-related anxiety and the prevention of postpartum depression.

The effectiveness of technology-based cognitive behavioral therapy on perinatal depression and anxiety: A systematic review and meta-analysis

BACKGROUND

Extensive literature has shown the effectiveness of cognitive behavioral therapy in treating perinatal depression, but little is known about the effectiveness of its technology-based version.

AIM

The aim of this review was to examine the effectiveness of technology-based cognitive behavioral therapy in reducing depressive and anxiety symptoms in women suffering from or at risk of experiencing perinatal depression.

METHODS

Six electronic databases were searched until February 2023 for articles published in English. Random-effect meta-analyses were conducted. Heterogeneity was assessed using the I2 statistics and Cochran's Q chi-squared test. Sensitivity analyses and subgroup analyses were also performed, and quality appraisals at the study and outcome levels were conducted.

RESULTS

A total of 16 randomized controlled trials were included in the review. Results from meta-analyses suggest that technology-based cognitive behavioral therapy has a medium effect in reducing perinatal depressive symptoms and a small effect in reducing perinatal anxiety symptoms. Overall, women suffering from or at risk of perinatal depression may benefit from technology-based cognitive behavioral therapy.

LINKING EVIDENCE TO ACTION

Future interventions can be improved by addressing both perinatal depression and anxiety, paying more attention to antenatal women to prevent postnatal mental health issues, and using self-guided mobile applications for accessibility.

Yourtime: The development and pilot of a perinatal mental wellbeing digital tool using a co-design approach

INTRODUCTION

Maternal anxiety and depression are major public health issues with prevalence as high as one in five women. There is a need to focus on preventative strategies to enable women to self-monitor their mental health status during pregnancy and postnatally.

AIM

To co-design and test a perinatal mental health digital tool to enable women to self-monitor their mental wellbeing during pregnancy and early parenting and promote positive self-care strategies.

METHODS AND ETHICS

A sequential mixed methods study utilising two stages 1) co-design workshops; 2) fit for purpose pilot with women through a purpose designed survey to evaluate acceptability, useability, functionality, and satisfaction.

FINDINGS

Mothers, midwives, design researchers and students, participated in co-designing a digital tool and prototype application, YourTime. Fourteen participants engaged in the pilot, with all women agreeing that the tool would be beneficial in alerting them to changes in mental wellbeing. Seventy-seven percent agreed that this prototype had the potential to positively affect wellbeing during the perinatal period.

DISCUSSION

The need to develop a perinatal mental health digital tool that enables women to self-monitor their wellbeing was identified. Women reported the YourTime app offered an acceptable and effective means to self-assess and monitor their wellbeing.

CONCLUSION

The YourTime app responds to the growing agenda for digital approaches to address perinatal mental health challenges. The pilot study demonstrated that the app offered potential to alert women to changes in mental wellbeing, but functionality need further development.

Digital solutions to follow up on discharged new parents-A systematic literature review

New parents and their newborns are followed up after discharge either through home visits from midwives/nurses or using information and communication technology. This follow-up focuses on individual needs related to breastfeeding and infant feeding, practical advice on caring for babies, supporting and strengthening the new mother's knowledge and self-confidence concerning child development and parenting skills, and supporting the relationship between parents and baby. This systematic review aims to integrate available research results that describe new parents' experiences when health and care providers used telemedicine as a platform for follow-up after discharge from the childbirth department. This literature review was conducted following the PRISMA statement and was prospectively registered in PROSPERO CRD42021236912. The studies were identified through the following databases: AMED, Academic, EMBASE, Google Scholar, Ovid MEDLINE via PubMed, Cochrane database, and CINAHL. Results from these studies were compiled using thematic analysis. A total of 886 studies were identified. Screening resulted in eight studies that met the inclusion criteria. Thematic analysis produced the following themes: a) Flexibility and convenience of digital support, b) Digital literacy, c) Parents feeling safe with digital support, and d) Adequate substitute for physical meetings. New parents who live in a home environment with a relaxed atmosphere and around-the-clock digital support experience a sense of control, security, full attention, and encouragement. Digital follow up at home has proven effective because it can meet the support needs of new parents when necessary.

Translating Research Evidence Into Marketplace Application: Cohort Study of Internet-Based Intervention Platforms for Perinatal Depression

BACKGROUND

Internet-based intervention platforms may improve access to mental health care for women with perinatal depression (PND). Though the majority of platforms in the market lack an evidence base, a small number of them are supported by research evidence.

OBJECTIVE

This study aims to assess the current status of internet-based PND intervention platforms supported by published evidence, understand the reasons behind the disappearance of any of these previously accessible platforms, examine adjustments made by those active platforms between research trials and market implementation, and evaluate their current quality.

METHODS

A cohort of internet-based PND intervention platforms was first identified by systematic searches in multiple academic databases from database inception until March 26, 2021. We searched on the World Wide Web and the iOS and Android app stores to assess which of these were available in the marketplace between April and May 2021. The basic characteristics of all platforms were collected. For inaccessible platforms, inquiries were made via email to the authors of publications to determine the reasons for their unavailability. We compared the intervention-related information of accessible platforms in the marketplace with that reported in original publications and conducted quality assessments using the App Evaluation Model of the American Psychiatric Association. Fisher exact tests were used to compare the functional characteristics in publications of available and unavailable platforms and to investigate potential associations between functional adjustments or quality indices and platform survival time.

RESULTS

Out of 35 platforms supported by research evidence, only 19 (54%) were still accessible in the marketplace. The main reason for platforms disappearing was the termination of research projects. No statistically significant differences were found in functional characteristics between available and unavailable platforms. A total of 18 (95%) platforms adapted their core functions from what was reported in related publications. The adjustments included changes to intervention methods (11/19, 58%), target population (10/19, 53%), human resources for intervention support (9/19, 47%), mood assessment and monitoring (8/19, 42%), communication modality (4/19, 21%), and platform type (2/19, 11%). Quality issues across platforms included low frequency of update, lack of crisis management mechanism, poor user interactivity, and weak evidence base or absence of citation of supporting evidence. Platforms that survived longer than 10 years had a higher tendency to use external resources from third parties compared to those that survived less than 10 years (P=.04). No significant differences were found for functional adjustments or other quality indices.

CONCLUSIONS

Internet-based platforms supported by evidence were not effectively translated into real-world practice. It is unclear if adjustments to accessible platforms made during actual operation may undermine the proven validity of the original research. Future research to explore the reasons behind the success of the implementation of evidence-based platforms in the marketplace is warranted.

Utilization of digital prenatal services and management of depression and anxiety during pregnancy: A retrospective observational study

Introduction

We examined how utilization of Maven, a digital healthcare platform that provides virtual prenatal services, is associated with improvements in perceived management of anxiety and depression during pregnancy, and how medical knowledge and support may influence this association.

Materials and Methods

In this retrospective study we used adjusted logistic regression to examine the relationship between digital platform use in pregnancy and perceived mental health management, and how perceived management of mental health is affected by user-reported improvements in medical knowledge and feeling supported by the platform. Effects were evaluated separately among users with and without a mental health condition. Demographics, medical history, and mental health management were self-reported.

Results

Of 5,659 users, 705 (12.5%) reported that Maven helped them manage anxiety and/or depression in the prenatal period. In adjusted models, users who read more articles, sent more messages to care advocates, or had more appointments with providers were more likely to report improved management of mental health in a dose-response manner (e.g., articles read: Q2 aOR 1.31 (95% CI 1.01–1.70), Q3 aOR 1.68 (95% CI 1.30–2.17), Q4 1.99 (95% CI 1.54–2.59)). Improvements in medical knowledge and high perceived support were both associated with better perceived mental health management. Results were similar in users with and without a mental health condition.

Discussion

These results suggest that access to a diverse set of digital resources provides multiple pathways to managing depression and anxiety during pregnancy for those with and without a diagnosed mental health condition.

Development and validation of the Japanese version of EPDS-P for indirect screening of paternal perinatal depression based on maternal reporting: Protocol for a prospective longitudinal observational study

AIMS

The main purpose of this study is to develop an indirect screening system for paternal perinatal depression based on the female partner's assessment in the Japanese population. The Japanese version of the Edinburgh Postnatal Depression Scale-Partner (EPDS-P) will be used as the indirect screening tool, and its accuracy will be studied in this longitudinal prospective observational study.

METHODS

Public health nurses and midwives at the participating community health center are currently inviting couples to participate, and are distributing self-rating scales to the participants. The primary evaluation scales being used in this study are the Japanese versions of the Center for Epidemiologic Studies Depression Scale (CES-D) and the Japanese version of the EPDS-P which evaluates paternal perinatal depression by women. We will evaluate EPDS-P performance against CES-D, including accuracy, sensitivity, specificity, and correlations.

RESULTS AND CONCLUSIONS

Perinatal depression is a mental illness that occurs between pregnancy and postpartum within the 12 months, and it is known to increase the risk of adversely impacting on child development. Men may also experience a psychosocial crisis during their partners' perinatal period. Although it was recently reported that the EPDS-P can indirectly detect paternal perinatal depression, there is, as yet, insufficient evidence of this because the previous studies had relatively small sample sizes and were limited to cross-sectional studies in the postpartum period. The development of a screening system for paternal perinatal depression using the EPDS-P will lead to increased awareness of the disease and provide an opportunity to establish a family-based support system in Japan.

Using the Consolidated Framework for Implementation Research to evaluate a nationwide depression prevention project (ImplementIT) from the perspective of health care workers and implementers: Results on the implementation of digital interventions for farmers

Introduction

Depression has a significant impact on individuals and society, which is why preventive measures are important. Farmers represent an occupational group exposed to many risk factors for depression. The potential of guided, tailored internet-based interventions and a personalized telephone coaching is evaluated in a German project of the Social Insurance for Agriculture, Forestry and Horticulture (SVLFG). While user outcomes are promising, not much is known about actual routine care use and implementation of the two digital health interventions. This study evaluates the implementation from the perspective of social insurance employees to understand determinants influencing the uptake and implementation of digital interventions to prevent depression in farmers.

Methods

The data collection and analysis are based on the Consolidated Framework for Implementation Research (CFIR). Health care workers (n = 86) and implementers (n = 7) completed online surveys and/or participated in focus groups. The surveys consisted of validated questionnaires used in implementation research, adapted items from the CFIR guide or from other CFIR studies. In addition, we used reporting data to map implementation based on selected CFIR constructs.

Results

Within the five CFIR dimensions, many facilitating factors emerged in relation to intervention characteristics (e.g., relative advantage compared to existing services, evidence and quality) and the inner setting of the SVLFG (e.g., tension for change, compatibility with values and existing working processes). In addition, barriers to implementation were identified in relation to the outer setting (patient needs and resources), inner setting (e.g., available resources, access to knowledge and information) and characteristics of individuals (e.g., self-efficacy). With regard to the implementation process, facilitating factors (formal implementation leaders) as well as hindering factors (reflecting and evaluating) were identified.

Discussion

The findings shed light on the implementation of two digital prevention services in an agricultural setting. While both offerings seem to be widely accepted by health care workers, the results also point to revealed barriers and contribute to recommendations for further service implementation. For instance, special attention should be given to "patient needs and resources" by raising awareness of mental health issues among the target population as well as barriers regarding the inner setting.

Clinical Trial Registration

German Clinical Trial Registration: [DRKS00017078]. Registered on 18.04.2019.

The approach to managing perinatal anxiety: A mini-review

Perinatal Anxiety (PNA) is defined as anxiety occurring during pregnancy and up to 12 months post-partum and is estimated to affect up to 20% of women. Risk factors for PNA are multiple and can be classed as psychological, social and biological. PNA negatively impacts on the mother, child and family. PNA is not well-recognized and diagnosis of PNA can be challenging for clinicians. There is currently no validated case-finding or diagnostic test available for PNA. PNA has been less extensively researched than perinatal depression (PND). Clinical guidance currently recommends pharmacological and psychological therapies for the management of women with PNA, however the limited research available suggests that other intervention types may also be effective with some evidence on the effectiveness of non-pharmacological interventions in primary care for PNA. This article provides a mini-review of PNA, summarizing current evidence around PNA including risk factors, the impact of PNA, the process of diagnosis of PNA and focussing predominantly on available management options for PNA.

Effect of couple-based interpersonal psychotherapy on postpartum depressive symptoms: A randomised controlled trial

OBJECTIVES

Interpersonal psychotherapy (IPT) is one of the most effective interventions for postnatal depression. Few studies have evaluated the effect of IPT on postnatal depression for both mothers and fathers. This aimed to examine the effect of couple-based IPT on postpartum depressive symptoms among Chinese mothers and fathers at 6 weeks and 6 months postpartum.

METHODS

A randomised controlled trial was conducted with 455 childbearing couples recruited from two hospitals and randomly allocated to the couple-based IPT (n = 224) and usual care (n = 231) groups. Postpartum depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS).

RESULTS

Both mothers and fathers in the couple-based IPT demonstrated significant and sustained reduction in depressive symptoms at 6 weeks (mean difference in mothers = 1.91, p < .001; mean difference in fathers = 1.14, p = .005) and 6 months postpartum (mean difference in mothers = 0.89, p = .039; mean difference in fathers = 1.29, p = .003), compared to those in usual care. The proportions of mothers and fathers who were at risk of postnatal depression (EPDS > 9) were significantly lower in the IPT group than in the usual care group at 6 weeks postpartum (difference in mothers = 21.9%, p < .001; difference in fathers = 10.7%, p = .005), but no significant differences were found at 6 months postpartum.

CONCLUSIONS

The benefits of the couple-based IPT in this study highlights the importance of incorporating IPT into perinatal services to promote perinatal mental health for both partners.

Applications of digital Medicine in oncology: Prospects and challenges

The current state of oncology medical services is not encouraging and is unable to fully meet the needs of patients with cancer. In recent years, rapidly developing artificial intelligence technology and gradual advancements in mobile phones, sensors, and wearable devices, which have made these more compact, affordable, and popular, have greatly expanded the development of digital medicine. Digital medicine refers to clinical evidence-based technology and products with a direct impact on disease management and research. Integrating digital medicine into clinical practice has the advantages of broader applicability, greater cost-effectiveness, better accessibility, and improved diagnostic and therapeutic performance. Digital medicine has emerged in different clinical application scenarios, including cancer prevention, screening, diagnosis, and treatment, as well as clinical trials. Additionally, big data generated from digital medicine can be used to improve levels of clinical diagnosis and treatment. However, digital medicine also faces many challenges, including security regulation and privacy protection, product usability, data management, and optimization of algorithms. In summary, the application and development of digital medicine in the field of cancer face numerous opportunities and challenges.

The Impact of a Mindfulness App on Postnatal Distress

Objectives

The present study investigated the effectiveness of an 8-week mindfulness mobile phone app on women’s depression, anxiety, stress and mindful attention/awareness in the postnatal period.

Methods

The study enrolled 99 mothers of a child under 1 year old, and randomly assigned them to intervention (n = 49, mean age = 31.11, SD = 4.30, years) and control (n = 50, mean age = 31.35, SD = 5.29, years) groups. Multiple regression examined intervention effects on depression, anxiety, stress and mindful attention/awareness measured post-intervention and at 4-week follow-up, controlling for the baseline and post-intervention measurement of the specific outcome, respectively.

Results

The intervention group showed significant decreases in depression, anxiety and stress levels and an increase of mindful attention/awareness post-intervention compared to the control group, with medium to large effect sizes after controlling for effects of corresponding variables at baseline. The intervention group showed further decrease in depression and stress levels and an increase in mindful attention/awareness at 4 weeks post-intervention compared to the control group, with small to medium effect sizes, after controlling for effects of corresponding variables at post-intervention.

Conclusions

The outcomes of the study suggest that delivery of mindfulness via smartphones could be a viable and affordable resource for reducing postnatal depression, anxiety and stress.

Perinatal depression and its impact on infant outcomes and maternal-nurse SMS communication in a cohort of Kenyan women

BACKGROUND

Perinatal depression is broadly defined as depressive symptoms during pregnancy or within the 12 months following delivery, affecting approximately 20-25% of pregnant and postpartum women in low- and middle-income countries. The wide accessibility of mobile phones allows mobile health (mHealth) interventions to be considered a solution to identify perinatal depression and provide appropriate referrals for treatment. This study, nested in a larger SMS communication project, examined the prevalence and correlates of perinatal depression, determined the association between antenatal depression and infant morbidity and mortality, and compared SMS communication patterns between women with and without perinatal depression.

METHODS

This was a prospective longitudinal cohort study of pregnant women seeking antenatal services at two public sector health clinics in Kenya. SMS messages were sent to participants with educational content related to their pregnancy and infant health and two-way SMS communication occurred with a nurse. Sociodemographic and obstetric characteristics, SMS messaging behaviors, infant health status, and depressive symptoms were assessed by a standardized questionnaire administered at enrollment (30-36 weeks gestation) and follow-up (14 weeks postpartum). Generalized estimating equation (GEE) with Poisson link was used to evaluate correlates of perinatal depressive symptoms, infant outcomes, and frequency of SMS messaging.

RESULTS

Of the 572 women with complete follow-up information, 188 (32.9%) screened positive for elevated depressive symptoms (≥10 by EPDS scale) at some time point during pregnancy or postpartum. The strongest predictors of any depressive symptoms included interpersonal abuse during pregnancy, fewer years of schooling, and maternal unemployment. Antenatal depressive symptoms were associated with an increased risk of infant illness or hospitalization (RR = 1.12, 95% CI: 1.11, 1.13). Women with antenatal or persistent perinatal depressive symptoms sent fewer SMS messages during the study period than their counterparts without depression.

CONCLUSIONS

Prevalence of elevated perinatal depressive symptoms was high in this cohort of Kenyan women. Our findings highlight the importance of screening perinatal women for experiences of symptoms of depression as well as abuse. Differences in messaging frequency between women with vs. without depressive symptoms presents an opportunity to provide more tailored support for those perinatal depression.

Technology-Based Approaches for Supporting Perinatal Mental Health

PURPOSE OF REVIEW

This review explores advances in the utilization of technology to address perinatal mood and anxiety disorders (PMADs). Specifically, we sought to assess the range of technologies available, their application to PMADs, and evidence supporting use.

RECENT FINDINGS

We identified a variety of technologies with promising capacity for direct intervention, prevention, and augmentation of clinical care for PMADs. These included wearable technology, electronic consultation, virtual and augmented reality, internet-based cognitive behavioral therapy, and predictive analytics using machine learning. Available evidence for these technologies in PMADs was almost uniformly positive. However, evidence for use in PMADs was limited compared to that in general mental health populations. Proper attention to PMADs has been severely limited by issues of accessibility, affordability, and patient acceptance. Increased use of technology has the potential to address all three of these barriers by facilitating modes of communication, data collection, and patient experience.

Effectiveness of mobile application-based perinatal interventions in improving parenting outcomes: A systematic review

Objective

Parents face many challenges during the perinatal period and are at risk for mental health issues, especially during the current coronavirus (COVID-19) pandemic. Mobile application-based interventions can help parents to improve their psychosocial well-being in a convenient and accessible manner. This review aims to examine the effectiveness of mobile application-based perinatal interventions in improving parenting self-efficacy, anxiety, and depression (primary outcomes), as well as stress, social support, and parent-child bonding (secondary outcomes) among parents.

Methods

Seven electronic databases (PubMed, Embase, CINAHL, PsycINFO, Web of Science, Scopus, and ProQuest Thesis and Dissertations) were searched from their respective inception dates until August 2021. The Cochrane Risk of Bias-2 tool was used to conduct quality appraisals. Results were narratively synthesized due to the high heterogeneity of intervention and participant types.

Findings

A total of 6164 articles were retrieved from the seven electronic databases and citation searching. After excluding duplicate records and irrelevant titles/abstracts, 105 full texts were examined. Full-text screening excluded another 93 articles, leaving 12 included studies in this review. All studies were rated as having some concerns or a high overall risk of bias. Mobile application-based interventions were found to be feasible and promising in improving parents’ overall well-being post-intervention during the perinatal period. Further research would be needed to determine their long-term effects.

Key conclusions and implications for practice

Parental well-being was shown to improve using the following intervention components: educational resources on perinatal and infant care, psychotherapy, and support from peers and healthcare professionals. Hence, future interventions could aim to include these components and evaluate all inter-related parenting outcomes (parenting self-efficacy, stress, anxiety, depression, social support, and parent-child bonding). Parents could be provided with experiential learning exposure by using computer animations and virtual reality. Future research could be conducted on more fathers and parents from varied geographical regions.

Mothers and Babies Online Course: Participant Characteristics and Behaviors in a Web-Based Prevention of Postpartum Depression Intervention

Despite the availability of evidence-based postpartum depression (PPD) prevention and treatment interventions, perinatal persons continue to suffer. eHealth and mHealth tools to address mental health issues have grown exponentially, especially given the ubiquity of technology and the increased demand for telemental health resources. The Mothers and Babies Online Course (eMB), an 8-lesson prevention of PPD intervention, was digitally adapted to expand the reach of evidence-based interventions to perinatal persons with limited access to maternal mental health resources. This report describes the characteristics, behaviors, and feedback provided by users of the updated eMB website. Two hundred eight predominantly English-speaking U.S. residents enrolled in the eMB. Thirty-seven percent were either pregnant (n = 38) or postpartum (n = 39) women interested in learning skills to manage changes in their mood during and after pregnancy; 63% were health providers (n = 131) interested in learning how to support their patient communities. Seventy-six percent (n = 159) viewed at least one of the eight eMB lessons, with 50.9% exclusively viewing Lesson 1. Few (4.4%) viewed all eight lessons. The lessons were rated favorably on usefulness and understanding. Perinatal women engaged with interactive content at higher rates than health providers. Examining user behaviors and feedback is an essential developmental step before empirically testing the efficacy of digital tools. Future iterations of the eMB will incorporate these preliminary findings to provide perinatal persons with accessible web-based interventions that will hopefully reduce the incidence and negative consequences of postpartum depression.

Protecting the infant-parent relationship: special emphasis on perinatal mood and anxiety disorder screening and treatment in neonatal intensive care unit parents

Perinatal mood and anxiety disorders (PMADs) are common, particularly among parents of infants requiring admission to the neonatal intensive care unit (NICU), yet remain underdiagnosed and undertreated. Undertreated parental mental health disorders can interfere with healthy infant development, compounding abnormal neurodevelopment and psychosocial development that preterm or ill newborns may already face. Interdisciplinary efforts to increase PMAD awareness, screening, and referral uptake may improve family-infant health and developmental outcomes in high-risk infants requiring NICU admission. Therefore, special emphasis on PMAD screening and treatment in NICU parents aligns with the American Academy of Pediatrics mission and should be a focus in neonatal care and included in education, quality improvement, and outcome-based research initiatives.

Digital screening for postnatal depression: mixed methods proof-of-concept study

Background

Depression during the postnatal year is prevalent in mothers (17%) and fathers (9%), and suicide is the leading cause of maternal death in this period. Lifelong costs and consequences of untreated postnatal depression (PND) are high due to impacts on infants as well as parents. We aimed to improve access to PND treatment using digital screening. We developed a smartphone app (ClinTouch DAWN-P) that allows parents to monitor their mood daily with the Edinburgh Postnatal Depression Scale (EPDS), uploading responses in real-time to a secure server. We evaluated the app’s feasibility, acceptability, validity and safety in a proof-of-concept study.

Methods

Pregnant women (≥ 36 weeks gestation) and partners were recruited from antenatal services and invited to complete daily EPDS assessments via the ClinTouch DAWN-P app until 6 weeks postpartum. Participants completed standard paper-based EPDS at two time points for validity comparisons. We examined app acceptability and usability at 6 weeks postpartum with qualitative interviews, examined using framework analysis, and the abridged Mobile App Rating Scale (convergent mixed methods design).

Results

Most (96%) eligible pregnant women approached were keen to try the app. Participating mothers (n = 15) and partners/fathers (n = 8) found the app easy to use, and 91% continued to use it for the full study period. Overall, 67% of daily app-based assessments were completed, with a history of depression predicting lower app usage. Participants suggested modifications to the app and its deployment to improve usability (e.g., extending the response window and including feedback and parenting advice). The validity of app-based responses was confirmed by high agreement with standard EPDS. App-based and paper-based ratings showed perfect agreement in identifying cases of likely PND. There were no serious adverse events relating to app use.

Conclusions

Digital PND screening appears feasible, acceptable, valid and safe. It also benefits from being remotely delivered: we enrolled all participants remotely during the first COVID-19 lockdown. Use of digital screening could address known shortcomings of conventional health visitor-delivered screening such as limited staff time, parental unwillingness to disclose difficulties to a professional, lack of partner/father screening, and language barriers.

Trial registration

The study was prospectively registered (Clinicaltrials.gov: NCT04279093).

Digital Health Interventions for Delivery of Mental Health Care: Systematic and Comprehensive Meta-Review

BACKGROUND

The COVID-19 pandemic has shifted mental health care delivery to digital platforms, videoconferencing, and other mobile communications. However, existing reviews of digital health interventions are narrow in scope and focus on a limited number of mental health conditions.

OBJECTIVE

To address this gap, we conducted a comprehensive systematic meta-review of the literature to assess the state of digital health interventions for the treatment of mental health conditions.

METHODS

We searched MEDLINE for secondary literature published between 2010 and 2021 on the use, efficacy, and appropriateness of digital health interventions for the delivery of mental health care.

RESULTS

Of the 3022 records identified, 466 proceeded to full-text review and 304 met the criteria for inclusion in this study. A majority (52%) of research involved the treatment of substance use disorders, 29% focused on mood, anxiety, and traumatic stress disorders, and >5% for each remaining mental health conditions. Synchronous and asynchronous communication, computerized therapy, and cognitive training appear to be effective but require further examination in understudied mental health conditions. Similarly, virtual reality, mobile apps, social media platforms, and web-based forums are novel technologies that have the potential to improve mental health but require higher quality evidence.

CONCLUSIONS

Digital health interventions offer promise in the treatment of mental health conditions. In the context of the COVID-19 pandemic, digital health interventions provide a safer alternative to face-to-face treatment. However, further research on the applications of digital interventions in understudied mental health conditions is needed. Additionally, evidence is needed on the effectiveness and appropriateness of digital health tools for patients who are marginalized and may lack access to digital health interventions.

Systematic Review of the Effect of Technology-Mediated Education Intervention on Maternal Outcomes in the First Year After Birth

OBJECTIVE

To synthesize the findings on the effect of technology-mediated education intervention in the first year after birth on maternal health outcomes and to evaluate interventions for participant perspectives and health equity.

DATA SOURCES

We conducted a systematic review of the literature using the electronic databases PubMed, Embase, and CINAHL for articles published between 2010 and 2020. The search strategy was developed by a health sciences librarian.

STUDY SELECTION

We included articles if the following criteria were met: they reported studies conducted in the United States or a resource-similar nation on the evaluation of a technology-mediated education intervention within the first year after birth and they included the assessment of at least one maternal health outcome.

DATA EXTRACTION

The lead author extracted data from the full-text articles and entered them into Microsoft Excel. We assessed the quality and risk of bias using the Cochrane Collaboration's tool for examining the potential risk of bias.

DATA SYNTHESIS

We identified 21 articles that met the inclusion criteria. Videos were the most commonly reported technology-mediated education intervention, followed by text messages, phone calls, and websites. Maternal health outcomes addressed in the included articles were mental health, weight loss, breastfeeding, general postpartum education, perineal care, and substance use. Technology-mediated education interventions positively affected mental health, weight loss, and breastfeeding outcomes.

CONCLUSION

The current evidence suggests that technology-mediated education intervention is beneficial for the physical and mental health outcomes of women during the first year after birth. Future work may benefit from more attention to health equity and design in collaboration with women to gain a better understanding of the information needs and desired technology features.

Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol

INTRODUCTION

Perinatal complications, such as perinatal depression and preterm birth, are major causes of morbidity and mortality for the mother and the child. Prediction of high risk can allow for early delivery of existing interventions for prevention. This ongoing study aims to use digital phenotyping data from the Mom2B smartphone application to develop models to predict women at high risk for mental and somatic complications.

METHODS AND ANALYSIS

All Swedish-speaking women over 18 years, who are either pregnant or within 3 months postpartum are eligible to participate by downloading the Mom2B smartphone app. We aim to recruit at least 5000 participants with completed outcome measures. Throughout the pregnancy and within the first year postpartum, both active and passive data are collected via the app in an effort to establish a participant's digital phenotype. Active data collection consists of surveys related to participant background information, mental and physical health, lifestyle, and social circumstances, as well as voice recordings. Participants' general smartphone activity, geographical movement patterns, social media activity and cognitive patterns can be estimated through passive data collection from smartphone sensors and activity logs. The outcomes will be measured using surveys, such as the Edinburgh Postnatal Depression Scale, and through linkage to national registers, from where information on registered clinical diagnoses and received care, including prescribed medication, can be obtained. Advanced machine learning and deep learning techniques will be applied to these multimodal data in order to develop accurate algorithms for the prediction of perinatal depression and preterm birth. In this way, earlier intervention may be possible.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the Swedish Ethical Review Authority (dnr: 2019/01170, with amendments), and the project fully fulfils the General Data Protection Regulation (GDPR) requirements. All participants provide consent to participate and can withdraw their participation at any time. Results from this project will be disseminated in international peer-reviewed journals and presented in relevant conferences.

Review of Mobile Apps for Women With Anxiety in Pregnancy: Maternity Care Professionals' Guide to Locating and Assessing Anxiety Apps

Background

Mental health and pregnancy apps are widely available and have the potential to improve health outcomes and enhance women’s experience of pregnancy. Women frequently access digital information throughout their pregnancy. However, health care providers and women have little information to guide them toward potentially helpful or effective apps.

Objective

This review aimed to evaluate a methodology for systematically searching and reviewing commercially available apps that support pregnant women with symptoms of anxiety in order to assist maternity care professionals in identifying resources that they could recommend for these women.

Methods

A stepwise systematic approach was used to identify, select, describe, and assess the most popular and highly user-rated apps available in the United Kingdom from January to March 2021. This included developing a script-based search strategy and search process, writing evaluation criteria, and conducting a narrative description and evaluation of the selected apps.

Results

Useful search terms were identified, which included nonclinical, aspirational, and problem-based phrases. There were 39 apps selected for inclusion in the review. No apps specifically targeted women with anxiety in pregnancy. Of the 39 apps included in the review, 33 (85%) focused solely on mind-body techniques to promote relaxation, stress reduction, and psychological well-being. Only 8 of the 39 (21%) apps included in the review reported that health care professionals had contributed to app development and only 1/39 (3%) provided empirical evidence on the effectiveness and acceptability of the app. The top 12/39 (31%) apps were evaluated by 2 independent reviewers using the developed criteria and scores. There was a small negative correlation between the reviewers’ scores and app user rating scores, with higher user rating scores associated with lower reviewer scores.

Conclusions

App developers, publishers, and maternity care professionals should seek advice from women with lived experience of anxiety symptoms in pregnancy to locate, promote, and optimize the visibility of apps for pregnant women. There is a lack of resources that provide coping strategies based on current evidence for the treatment of anxiety in pregnancy. Maternity care providers are limited in their ability to locate and recommend acceptable and trustworthy apps because of the lack of information on the evidence base, development, and testing of apps. Maternity care professionals and women need access to libraries of trusted apps that have been evaluated against relevant and established criteria.

Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review

OBJECTIVE

To investigate the roles of mobile health, or mHealth, in the psychosocial health of pregnant women and mothers.

METHODS

A systematic search was conducted in databases and grey literature including MEDLINE, Web of Science, CINAHL, PsycINFO, PsycARTICLES, Academic Search Complete, SocINDEX, Central Register of Controlled Trials, The Database of Abstracts of Reviews of Effects, NHS Economic Evaluation Database, Health Technology Assessment, UNICEF and WHO databases. Two searches were conducted to include original research articles published in English until 15 November 2021. Several tools were used to assess the risk of bias: revised Cochrane risk of bias tool for randomised trials, Risk of Bias in Non-randomized Studies of Interventions, National Heart, Lung, and Blood Institute quality assessment tool for cohort and cross-sectional studies, Critical Appraisal Skills Program checklist for qualitative studies and Mixed Methods Appraisal Tool for mixed-methods studies. Certainty of evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation approach. Due to the high heterogeneity and variability of the included studies, data synthesis was conducted narratively.

RESULTS

44 studies were included among 11 999 identified articles. Most studies reported mixed findings on the roles of mHealth interventions in the psychosocial health of pregnant women and mothers; mHealth improved self-management, acceptance of pregnancy/motherhood and social support, while mixed results were observed for anxiety and depressive symptoms, perceived stress, mental well-being, coping and self-efficacy. Furthermore, pregnant women and mothers from vulnerable populations benefited from the use of mHealth to improve their psychosocial health.

CONCLUSIONS

The findings suggest that mHealth has the potential to improve self-management, acceptance of pregnancy/motherhood and social support. mHealth can also be a useful tool to reach vulnerable pregnant women and mothers with barriers to health information and facilitate access to healthcare services. However, the high heterogeneity limited the certainty of evidence of these findings. Therefore, future studies should identify the context under which mHealth could be more effective.

Remotely Delivered Interventions to Support Women With Symptoms of Anxiety in Pregnancy: Mixed Methods Systematic Review and Meta-analysis

BACKGROUND

Symptoms of anxiety are common in pregnancy, with severe symptoms associated with negative outcomes for women and babies. Low-level psychological therapy is recommended for women with mild to moderate anxiety, with the aim of preventing an escalation of symptoms and providing coping strategies. Remotely delivered interventions have been suggested to improve access to treatment and support and provide a cost-effective, flexible, and timely solution.

OBJECTIVE

This study identifies and evaluates remotely delivered, digital, or web-based interventions to support women with symptoms of anxiety during pregnancy.

METHODS

This mixed methods systematic review followed a convergent segregated approach to synthesize qualitative and quantitative data. The ACM Digital Library, Allied and Complementary Medicine Database, Applied Social Sciences Index and Abstracts, Centre for Reviews and Dissemination database, the Cochrane Central Register of Controlled Trials, the Cochrane Library, CINAHL, Embase, Health Technology Assessment Library, IEEE Xplore, Joanna Briggs Institute, Maternity and Infant Care, MEDLINE, PsycINFO, and the Social Science Citation Index were searched in October 2020. Quantitative or qualitative primary research that included pregnant women and evaluated remotely delivered interventions reporting measures of anxiety, fear, stress, distress, women's views, and opinions were included.

RESULTS

Overall, 3 qualitative studies and 14 quantitative studies were included. Populations included a general antenatal population and pregnant women having anxiety and depression, fear of childbirth, insomnia, and preterm labor. Interventions included cognitive behavioral therapy, problem solving, mindfulness, and educational designs. Most interventions were delivered via web-based platforms, and 62% (8/13) included direct contact from trained therapists or coaches. A meta-analysis of the quantitative data found internet-based cognitive behavioral therapy and facilitated interventions showed a beneficial effect in relation to the reduction of anxiety scores (standardized mean difference -0.49, 95% CI -0.75 to -0.22; standardized mean difference -0.48, 95% CI -0.75 to -0.22). Due to limitations in the amount of available data and study quality, the findings should be interpreted with caution. Synthesized findings found some evidence to suggest that interventions are more effective when women maintain regular participation which may be enhanced by providing regular contact with therapists or peer support, appropriate targeting of interventions involving components of relaxation and cognitive-based skills, and providing sufficient sessions to develop new skills without being too time consuming.

CONCLUSIONS

There is limited evidence to suggest that women who are pregnant may benefit from remotely delivered interventions. Components of interventions that may improve the effectiveness and acceptability of remotely delivered interventions included providing web-based contact with a therapist, health care professional, or peer community. Women may be more motivated to complete interventions that are perceived as relevant or tailored to their needs. Remote interventions may also provide women with greater anonymity to help them feel more confident in disclosing their symptoms.

mHealth Solutions for Perinatal Mental Health: Scoping Review and Appraisal Following the mHealth Index and Navigation Database Framework

BACKGROUND

The ever-increasing pressure on health care systems has resulted in the underrecognition of perinatal mental disorders. Digital mental health tools such as apps could provide an option for accessible perinatal mental health screening and assessment. However, there is a lack of information regarding the availability and features of perinatal app options.

OBJECTIVE

This study aims to evaluate the current state of diagnostic and screening apps for perinatal mental health available on the Google Play Store (Android) and Apple App Store (iOS) and to review their features following the mHealth Index and Navigation Database framework.

METHODS

Following a scoping review approach, the Apple App Store and Google Play Store were systematically searched to identify perinatal mental health assessment apps. A total of 14 apps that met the inclusion criteria were downloaded and reviewed in a standardized manner using the mHealth Index and Navigation Database framework. The framework comprised 107 questions, allowing for a comprehensive assessment of app origin, functionality, engagement features, security, and clinical use.

RESULTS

Most apps were developed by for-profit companies (n=10), followed by private individuals (n=2) and trusted health care companies (n=2). Out of the 14 apps, 3 were available only on Android devices, 4 were available only on iOS devices, and 7 were available on both platforms. Approximately one-third of the apps (n=5) had been updated within the last 180 days. A total of 12 apps offered the Edinburgh Postnatal Depression Scale in its original version or in rephrased versions. Engagement, input, and output features included reminder notifications, connections to therapists, and free writing features. A total of 6 apps offered psychoeducational information and references. Privacy policies were available for 11 of the 14 apps, with a median Flesch-Kincaid reading grade level of 12.3. One app claimed to be compliant with the Health Insurance Portability and Accountability Act standards and 2 apps claimed to be compliant with General Data Protection Regulation. Of the apps that could be accessed in full (n=10), all appeared to fulfill the claims stated in their description. Only 1 app referenced a relevant peer-reviewed study. All the apps provided a warning for use, highlighting that the mental health assessment result should not be interpreted as a diagnosis or as a substitute for medical care. Only 3 apps allowed users to export or email their mental health test results.

CONCLUSIONS

These results indicate that there are opportunities to improve perinatal mental health assessment apps. To this end, we recommend focusing on the development and validation of more comprehensive assessment tools, ensuring data protection and safety features are adequate for the intended app use, and improving data sharing features between users and health care professionals for timely support.

Text Messages in the Field of Mental Health: Rapid Review of the Reviews

BACKGROUND

While mental health problems constitute a worldwide concern contributing to the global rates of morbidity and mortality, conventional mental healthcare services do not meet the current needs. Text messages (TM) represent a live model that incorporates technology into health services, spanning a large number of health conditions and playing different roles that may support the current healthcare system.

OBJECTIVE

To examine the TM services in the field of mental health, regarding their effectiveness, feasibility, acceptability, and economic evaluation in different contexts of mental health diagnoses and during critical times, when provided to individuals with mental health symptoms/disorders.

METHODS

This rapid review was conducted through an online search in PubMed, Embase, PsycINFO, and Medline databases. The review targeted the review studies which examined online or mobile addiction and mental health services, utilizing TM services. The search was run from the inception up to September 30, 2021.

RESULTS

Sixty review articles met the inclusion criteria and were included in this review. All reviews were published over the last decade. The results showed that people of a young age were fairly represented, and most reviews were run over substance use disorders (SUD), including Alcohol. Most reviews examined the effectiveness outcomes of the texting service, while to a lesser extent the acceptability and feasibility, among others. Texting services were reported as effective in psychotic disorders and SUD. However, the results related to depression and anxiety were mixed. Most reviews reported a considerably high risk of bias among their included studies. High satisfaction and acceptability of the texting services were reported for patients with various mental health conditions, including those with severe mental illness.

CONCLUSIONS

This rapid review highlighted the applications, usability, benefits, and satisfaction with the TM in the field of mental health. For a higher quality of evidence, future studies should consider TM interventions in the contexts with mixed results or a dearth of literature, and during critical times, such as the COVID-19 pandemic. Policy- and decision-makers, therefore, need to further support text-based services with guided investments in interventions that were evidenced to be accepted, economic and feasible.

Positively Pregnant: Development and piloting of a mobile app for social and emotional well-being in pregnancy

This paper describes development of a mobile e-health application, Positively Pregnant, which provides tools to meet the psychological challenges of pregnancy and transition to parenthood. Positively Pregnant was developed with input from maternity carers and consumers, incorporating local cultures and contexts as well as international research on effective interventions for stress management and mental well-being. The prototype app was piloted with 88 New Zealand women. Participants in the pilot used an average of 11.96 (SD = 7.44) components, and most were satisfied (45.1%) or neutral (40.3%) regarding the app. For 23 of the 26 interactive components, the majority of those who tried the component reported that they found it helpful. Participants reported a significant reduction in subjective stress (η²  = .088, p = .023). Feedback from pilot participants was incorporated in a version of the app that was publically launched as a free tool to support developing families. Mobile e-health applications are a promising medium for providing preventative interventions and psychoeducation about the social and emotional challenges of pregnancy and early parenting; Positively Pregnant is an example of a tool, grounded in strength-based, empirically supported strategies, to provide parents with support and information at this critical time.

Evaluation of Repeated Web-Based Screening for Predicting Postpartum Depression: Prospective Cohort Study

BACKGROUND

Postpartum depression (PPD) is a severe mental disorder that often results in poor maternal-infant attachment and negatively impacts infant development. Universal screening has recently been recommended to identify women at risk, but the optimal screening time during pregnancy has not been defined so far. Thus, web-based technologies with widespread use among women of childbearing age create new opportunities to detect pregnancies with a high risk for adverse mental health outcomes at an early stage.

OBJECTIVE

The aim of this study was to stratify the risk for PPD and to determine the optimal screening time during pregnancy by using a web-based screening tool collecting electronic patient-reported outcomes (ePROs) as the basis for a screening algorithm.

METHODS

In total, 214 women were repeatedly tested for depressive symptoms 5 times during and 3 times after pregnancy by using the Edinburgh Postnatal Depression Scale (EPDS), accessible on a web-based pregnancy platform, developed by the authors of this study. For each prenatal assessment, the area under the curve (AUC), sensitivity, specificity, and predictive values for PPD were calculated. Multivariate logistic regression analyses were applied to identify further potential predictors, such as age, education, parity, relationship quality, and anxiety, to increase predictive accuracy.

RESULTS

Digitally collected data from 214 pregnant women were analyzed. The predictive accuracy of depressive symptoms 3 and 6 months postpartum was reasonable to good regarding the screening in the second (AUC=0.85) and third (AUC=0.75) trimester. The multivariate logistic regression analyses resulted in an excellent AUC of 0.93 at 3 months and a good AUC of 0.87 at 6 months postpartum.

CONCLUSIONS

The best predictive accuracy for PPD has been shown for screening between the 24th and the 28th gestational week (GW) and seems to be beneficial for identifying women at risk. In combination with the aforementioned predictive factors, the discriminatory power improved, particularly at 3 months postpartum. Screening for depression during pregnancy, combined with the women's personal risk profile, can be used as a starting point for developing a digital screening algorithm. Thereby, web-based assessment tools constitute feasible, efficient, and cost-effective approaches. Thus, they seem to be beneficial in detecting high-risk pregnancies in order to improve maternal and infant birth outcomes in the long term.

Effectiveness of web-based and mobile-based psychological interventions to prevent perinatal depression: Study protocol for a systematic review and meta-analysis of randomized controlled trials

INTRODUCTION

Perinatal depression is one of the most common complications during pregnancy and one year following childbirth. A negative impact on the mental and physical health of women, their children, partners, or significant others has been associated with this disease. Web-based and Mobile-based psychological interventions can reduce the burden of the disease through prevention of new cases of depression. It is crucial to know the effectiveness of these interventions to implement them around the globe. This systematic review and meta-analysis aims to assess the effectiveness of Web-based and Mobile-based psychological interventions to prevent depression during the perinatal period.

METHOD AND ANALYSIS

A systematic review and meta-analysis will adhere to the PRISMA guidelines. Studies will be identified through MEDLINE, PsycINFO, Web of Science, Scopus, CINAHL, CENTRAL, Opengrey, Australian New Zealand Clinical Trial Registry, National Institute for Mental Health Research at the Australian National University, clinicaltrial.gov, beacon.anu.edu.au, and evidencebasedpsychotherapies.org from inception until 31 March 2021. We will also search the reference lists provided in relevant studies and reviews. The selection criteria will be as follows: 1) pregnant women or women who have given birth in the last 12 months and who were non-depressive at baseline; 2) Web-based and Mobile-Based psychological interventions; 3) comparators will be usual care, attention control, waiting list or no intervention; 4) outcomes will be the incidence of new cases of perinatal depression and/or the reduction of depressive symptoms as measured by validated instruments; and 5) the design of the studies will be randomized controlled trials. No restrictions regarding the year or language of publication will be considered. Pooled standardized mean differences and 95% confidence intervals will be calculated. The risk of bias of the studies will be assessed through the Cochrane Collaboration risk of bias 2.0 tool. Heterogeneity and publication bias will be estimated. Sensitivity and sub-group analyses will also be conducted. Random effects meta-regression will be performed.

ETHICS AND DISSEMINATION

As a systematic review, ethical approval is not required. The results from this study will be presented at international conferences and disseminated through peer-reviewed publications. Patients and the public will be involved in the dissemination plans.

PROSPERO REGISTRATION NUMBER

230,089 (submitted).

Integrating SMS Text Messages Into a Preventive Intervention for Postpartum Depression Delivered via In-Home Visitation Programs: Feasibility and Acceptability Study

BACKGROUND

The Mothers and Babies (MB) Course is recognized by the US Preventive Services Task Force as an evidence-based preventive intervention for postpartum depression (PPD) that should be recommended to pregnant women at risk for PPD.

OBJECTIVE

This report examines the feasibility and acceptability of enhancing the MB 1-on-1 intervention by adding 36 SMS text messages that target 3 areas: reinforcement of skills, between-session homework reminders, and responding to self-monitoring texts (ie, MB Plus Text Messaging [MB-TXT]).

METHODS

In partnership with 9 home visiting programs, 28 ethnically and racially diverse pregnant women (mean 25.6, SD 9.0 weeks) received MB-TXT. Feasibility was defined by home visitors' adherence to logging into the HealthySMS platform to enter session data and trigger SMS text messages within 7 days of the in-person session. The acceptability of MB-TXT was measured by participants' usefulness and understanding ratings of the SMS text messages and responses to the self-monitoring SMS text messages.

RESULTS

On average, home visitors followed the study protocol and entered session-specific data between 5.50 and 61.17 days following the MB 1-on-1 sessions. A high proportion of participants responded to self-monitoring texts (25/28, 89%) and rated the text message content as very useful and understandable.

CONCLUSIONS

This report contributes to a growing body of research focusing on digital adaptations of the MB course. SMS is a low-cost, accessible digital tool that can be integrated into existing interventions. With appropriate resources to support staff, it can be implemented in community-based organizations and health care systems that serve women at risk for PPD.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03420755; https://clinicaltrials.gov/ct2/show/NCT03420755.

Analysis of Online Peripartum Depression Communities: Application of Multilabel Text Classification Techniques to Inform Digitally-Mediated Prevention and Management

Peripartum depression (PPD) is a significant public health problem, yet many women who experience PPD do not receive adequate treatment. In many cases, this is due to social stigmas surrounding PPD that prevent women from disclosing their symptoms to their providers. Examples of these are fear of being labeled a “bad mother,” or having misinformed expectations regarding motherhood. Online forums dedicated to PPD can provide a practical setting where women can better manage their mental health in the peripartum period. Data from such forums can be systematically analyzed to understand the technology and information needs of women experiencing PPD. However, deeper insights are needed on how best to translate information derived from online forum data into digital health features. In this study, we aim to adapt a digital health development framework, Digilego, toward translation of our results from social media analysis to inform digital features of a mobile intervention that promotes PPD prevention and self-management. The first step in our adaption was to conduct a user need analysis through semi-automated analysis of peer interactions in two highly popular PPD online forums: What to Expect and BabyCenter. This included the development of a machine learning pipeline that allowed us to automatically classify user post content according to major communication themes that manifested in the forums. This was followed by mapping the results of our user needs analysis to existing behavior change and engagement optimization models. Our analysis has revealed major themes being discussed by users of these online forums- family and friends, medications, symptom disclosure, breastfeeding, and social support in the peripartum period. Our results indicate that Random Forest was the best performing model in automatic text classification of user posts, when compared to Support Vector Machine, and Logistic Regression models. Computerized text analysis revealed that posts had an average length of 94 words, and had a balance between positive and negative emotions. Our Digilego-powered theory mapping also indicated that digital platforms dedicated to PPD prevention and management should contain features ranging from educational content on practical aspects of the peripartum period to inclusion of collaborative care processes that support shared decision making, as well as forum moderation strategies to address issues with cyberbullying.