Effectiveness of an app-based cognitive behavioral therapy program for postpartum depression in primary care: A randomized controlled trial

The effect of digital health interventions on postpartum depression or anxiety: a systematic review and meta-analysis of randomized controlled trials

OBJECTIVE

This study aimed to examine the effect of digital health interventions compared with treatment as usual on preventing and treating postpartum depression and postpartum anxiety.

DATA SOURCES

Searches were conducted in Ovid MEDLINE, Embase, Scopus, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov.

STUDY ELIGIBILITY REQUIREMENTS

The systematic review included full-text randomized controlled trials comparing digital health interventions with treatment as usual for preventing or treating postpartum depression and postpartum anxiety.

STUDY APPRAISAL AND SYNTHESIS METHODS

Two authors independently screened all abstracts for eligibility and independently reviewed all potentially eligible full-text articles for inclusion. A third author screened abstracts and full-text articles as needed to determine eligibility in cases of discrepancy. The primary outcome was the score on the first ascertainment of postpartum depression or postpartum anxiety symptoms after the intervention. Secondary outcomes included screening positive for postpartum depression or postpartum anxiety --as defined in the primary study --and loss to follow-up, defined as the proportion of participants who completed the final study assessment compared with the number of initially randomized participants. For continuous outcomes, the Hedges method was used to obtain standardized mean differences when the studies used different psychometric scales, and weighted mean differences were calculated when studies used the same psychometric scales. For categorical outcomes, pooled relative risks were estimated.

RESULTS

Of 921 studies originally identified, 31 randomized controlled trials-corresponding to 5532 participants randomized to digital health intervention and 5492 participants randomized to treatment as usual-were included. Compared with treatment as usual, digital health interventions significantly reduced mean scores ascertaining postpartum depression symptoms (29 studies: standardized mean difference, -0.64 [95% confidence interval, -0.88 to -0.40]; I2=94.4%) and postpartum anxiety symptoms (17 studies: standardized mean difference, -0.49 [95% confidence interval, -0.72 to -0.25]; I2=84.6%). In the few studies that assessed screen-positive rates for postpartum depression (n=4) or postpartum anxiety (n=1), there were no significant differences between those randomized to digital health intervention and treatment as usual. Overall, those randomized to digital health intervention had 38% increased risk of not completing the final study assessment compared with those randomized to treatment as usual (pooled relative risk, 1.38 [95% confidence interval, 1.18-1.62]), but those randomized to app-based digital health intervention had similar loss-to-follow-up rates as those randomized to treatment as usual (relative risk, 1.04 [95% confidence interval, 0.91-1.19]).

CONCLUSION

Digital health interventions modestly, but significantly, reduced scores assessing postpartum depression and postpartum anxiety symptoms. More research is needed to identify digital health interventions that effectively prevent or treat postpartum depression and postpartum anxiety but encourage ongoing engagement throughout the study period.

Comparing the effectiveness of mother-focused interventions to that of mother-child focused interventions in improving maternal postpartum depression outcomes: A systematic review

BACKGROUND

Most empirically researched interventions for postpartum depression (PPD) tend to target mothers' depression alone. Harmful effects of PPD on physical and mental health of both mother and child has led researchers to investigate the impact of interventions on PPD and child outcomes together. So far, the evidence is limited regarding how these interventions compare with those focusing only on mothers' depression. This review compares the effectiveness of PPD-improving interventions focusing only on mothers with those focusing on mother and child together.

METHODS

Nine electronic databases were searched. Thirty-seven studies evaluating mother-focused (n = 30) and mother-child focused interventions (n = 7) were included. Under each category, three theoretical approaches-psychological, psychosocial and mixed-were compared using standardized qualitative procedures. The review's primary outcome was maternal PPD.

RESULTS

A higher proportion of mother-focussed interventions [20/30 (66.7%)] brought significant reduction in PPD outcomes as compared to a lower proportion of mother-child focused interventions [4/7 (57.14%)]. Mother-focused mixed approaches [3/3 (100%)] performed better in improving PPD than psychological [16/24 (67%)] or psychosocial approaches [1/3 (33.3%)] alone. Amongst mother-child focused interventions, psychosocial approaches performed well with two-thirds demonstrating positive effects on PPD.

CONCLUSION

The evidence strongly favors mother-focused interventions for improving PPD with mixed interventions being more effective. Psychosocial approaches performed better with PPD once child-related elements were added, and also seemed best for child outcomes. Psychological approaches were most practiced and effective for PPD, irrespective of the intervention's focus. Further trials are needed to unpack intervention components that improve PPD and increase uptake, especially in lower-and middle-income countries.

Cognitive reappraisal in mHealth interventions to foster mental health in adults: a systematic review and meta-analysis

Background

An increasing number of mHealth interventions aim to contribute to mental healthcare of which interventions that foster cognitive reappraisal may be particularly effective.

Objectives

To evaluate the efficacy of mHealth interventions enhancing cognitive reappraisal to improve mental health in adult populations.

Methods

The literature search (four databases) yielded 30 eligible randomized controlled trials (comprising 3,904 participants). We performed a multi-level meta-analysis to examine differences between intervention and comparator conditions at post-intervention assessment. Moderator analyses were conducted for potential moderator variables (e.g., type of comparators).

Results

Most interventions were CBT-based with other training components in addition to cognitive reappraisal. We found preliminary evidence for a small to medium effect favouring mHealth interventions to enhance cognitive reappraisal over comparators, M(SMD) = 0.34, p = .002. When analysing single symptoms, there was evidence for a small to medium effect of mHealth interventions on anxiety and depressive symptoms, but not for psychological distress and well-being. All analyses showed substantial heterogeneity. Moderator analyses revealed evidence for more favourable effects in studies with passive comparators. There was an overall high risk of bias in most of the studies.

Conclusions

We found preliminary evidence for a small to medium effect of mHealth interventions including a cognitive reappraisal component to improve mental health. However, most of the interventions were complex (i.e., reappraisal was provided alongside other components), which prevents us from examining reappraisal-specific effects beyond general mental health promotion in mHealth. Dismantling studies examining the effects of single intervention components are warranted to corroborate these promising results.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=142149, identifier [CRD42019142149].

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.

Effectiveness of telemedicine-based psychosocial intervention for breast cancer patients: a systematic review and meta-analysis

OBJECTIVES

This review aimed to synthesize the available evidence on the effectiveness of telemedicine-based psychosocial interventions among breast cancer (BC) patients regarding quality of life (QOL), depression, anxiety, distress, fatigue, sleep disorders, sexual function, and fear of cancer recurrence (FCR).

METHODS

A search of 10 databases was conducted to identify RCTs of the effects of telemedicine-based psychosocial interventions on outcomes. Selection of studies, quality appraisal, and data extraction were performed by two reviewers independently. GRADE and Cochrane risk of bias assessment tools were used for quality appraisal. Heterogeneity was determined by I2, standardized mean differences (SMD) were used to determine intervention effects, and meta-analyses, subgroup analysis, and sensitivity analysis were performed.

RESULTS

In total, 29 RCTs were included. Telemedicine-based psychosocial interventions improved the primary outcomes of QOL (SMD = 0.32), distress (SMD =  - 0.22), and anxiety (SMD =  - 0.16) in BC patients with moderate effect size. There were some improvements in the secondary outcomes of sleep disorders (SMD =  - 056), sexual function (SMD = 0.19), and FCR (SMD =  - 0.41). After sensitivity analysis, the effect size of fatigue was moderate (SMD =  - 0.24).

CONCLUSION

Telemedicine-based psychosocial interventions are superior to usual care in BC patients with improved QOL, sexual function, and less distress, anxiety, fatigue, sleep disorders, and FCR. Due to the heterogeneity of the results for QOL, anxiety, fatigue, sleep disturbance, and FCR, these results should be interpreted cautiously. In the future, more rigorous RCTs need to be designed to identify better delivery models and intervention times to further test their effectiveness.

Efficacy, Safety, and Evaluation Criteria of mHealth Interventions for Depression: Systematic Review

BACKGROUND

Depression is a significant public health issue that can lead to considerable disability and reduced quality of life. With the rise of technology, mobile health (mHealth) interventions, particularly smartphone apps, are emerging as a promising approach for addressing depression. However, the lack of standardized evaluation tools and evidence-based principles for these interventions remains a concern.

OBJECTIVE

In this systematic review and meta-analysis, we aimed to evaluate the efficacy and safety of mHealth interventions for depression and identify the criteria and evaluation tools used for their assessment.

METHODS

A systematic review and meta-analysis of the literature was carried out following the recommendations of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Studies that recruited adult patients exhibiting elevated depressive symptoms or those diagnosed with depressive disorders and aimed to assess the effectiveness or safety of mHealth interventions were eligible for consideration. The primary outcome of interest was the reduction of depressive symptoms, and only randomized controlled trials (RCTs) were included in the analysis. The risk of bias in the original RCTs was assessed using version 2 of the Cochrane risk-of-bias tool for randomized trials.

RESULTS

A total of 29 RCTs were included in the analysis after a comprehensive search of electronic databases and manual searches. The efficacy of mHealth interventions in reducing depressive symptoms was assessed using a random effects meta-analysis. In total, 20 RCTs had an unclear risk of bias and 9 were assessed as having a high risk of bias. The most common element in mHealth interventions was psychoeducation, followed by goal setting and gamification strategies. The meta-analysis revealed a significant effect for mHealth interventions in reducing depressive symptoms compared with nonactive control (Hedges g=-0.62, 95% CI -0.87 to -0.37, I2=87%). Hybrid interventions that combined mHealth with face-to-face sessions were found to be the most effective. Three studies compared mHealth interventions with active controls and reported overall positive results. Safety analyses showed that most studies did not report any study-related adverse events.

CONCLUSIONS

This review suggests that mHealth interventions can be effective in reducing depressive symptoms, with hybrid interventions achieving the best results. However, the high level of heterogeneity in the characteristics and components of mHealth interventions indicates the need for personalized approaches that consider individual differences, preferences, and needs. It is also important to prioritize evidence-based principles and standardized evaluation tools for mHealth interventions to ensure their efficacy and safety in the treatment of depression. Overall, the findings of this study support the use of mHealth interventions as a viable method for delivering mental health care.

TRIAL REGISTRATION

PROSPERO CRD42022304684; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=304684.

Digital interventions for common mental disorders in low- and middle-income countries: A systematic review and meta-analysis

Background

In low-resource settings, e-mental health may substantially increase access to evidence-based interventions for common mental disorders. We conducted a systematic literature search to identify randomised trials examining the effects of digital interventions with or without therapeutic guidance compared to control conditions in individuals with anxiety and/or depression symptoms in low- and middle-income countries (LMICs).

Methods

The main outcome was the reduction in symptoms at the post-test. Secondary outcomes included improvements in quality of life and longer-term effects (≥20 weeks post-randomisation). The effect size Hedges' g was calculated using the random effects model.

Results

A total of 21 studies (23 comparisons) with 5.296 participants were included. Digital interventions were more effective than controls in reducing symptoms of common mental disorders at the post-test (g = -0.89, 95% confidence interval [CI] -1.26 to -0.52, p < 0.001; NNT = 2.91). These significant effects were confirmed when examining depressive (g = -0.77, 95% CI -1.11; -0.44) and anxiety symptoms separately (g = -1.02, 95% CI -1.53 to -0.52) and across all other sensitivity analyses. Digital interventions also resulted in a small but significant effect in improving quality of life (g = 0.32, 95% CI 0.19 to 0.45) at the post-test. Over the longer term, the effects were smaller but remained significant for all examined outcomes. Heterogeneity was moderate to high in all analyses. Subgroup and meta-regression analyses did not result in significant outcomes in any of the examined variables (e.g., guided vs. unguided interventions).

Conclusions

Digital interventions, with or without guidance, may effectively bridge the gap between treatment supply and demand in LMICs. Nevertheless, more studies are needed to draw firm conclusions regarding the magnitude of the effects of digital interventions.

The effect of emotional support on postpartum depression among postpartum mothers in Asia: A systematic review

INTRODUCTION

Postpartum depression (PPD) is a chronic mood illness that typically develops in the first few months after giving birth. It affects 17.2% of women worldwide, and its deleterious consequences on infants, children, and mothers have elicited global public concern. Therefore, this paper aims to present an overview of the relationship between emotional support and PPD among postpartum mothers in the Asia region.

METHODS

An extensive search using various keywords was conducted in Science Direct, PsycINFO, PubMed, Scopus, Cochrane Library, JSTOR, Springer Link, and Taylor Francis. The screening process was compliant with the PRISMA guideline, while the quality of the selected studies was assessed using the QuADS tool.

RESULTS

The analysis included 15 research from 12 different countries with 6031 postpartum mothers. A decreased risk of PPD for postpartum mothers is shown to be significantly correlated with greater emotional support, and vice versa.

DISCUSSION

Asian women are less likely to seek emotional assistance than other mothers, which is influenced by culture. There needs to be more research on the impact of culture on postpartum mothers' emotional support. Additionally, this review hopes to raise awareness among the mothers' friends and family as well as the medical community to be more attentive to postpartum mothers' emotional needs and offer specialized assistance.

Effectiveness of Digital Mental Health Tools to Reduce Depressive and Anxiety Symptoms in Low- and Middle-Income Countries: Systematic Review and Meta-analysis

BACKGROUND

Depression and anxiety contribute to an estimated 74.6 million years of life with disability, and 80% of this burden occurs in low- and middle-income countries (LMICs), where there is a large gap in care.

OBJECTIVE

We aimed to systematically synthesize available evidence and quantify the effectiveness of digital mental health interventions in reducing depression and anxiety in LMICs.

METHODS

In this systematic review and meta-analysis, we searched PubMed, Embase, and Cochrane databases from the inception date to February 2022. We included randomized controlled trials conducted in LMICs that compared groups that received digital health interventions with controls (active control, treatment as usual, or no intervention) on depression or anxiety symptoms. Two reviewers independently extracted summary data reported in the papers and performed study quality assessments. The outcomes were postintervention measures of depression or anxiety symptoms (Hedges g). We calculated the pooled effect size weighted by inverse variance.

RESULTS

Among 11,196 retrieved records, we included 80 studies in the meta-analysis (12,070 participants n=6052, 50.14% in the intervention group and n=6018, 49.85% in the control group) and 96 studies in the systematic review. The pooled effect sizes were -0.61 (95% CI -0.78 to -0.44; n=67 comparisons) for depression and -0.73 (95% CI -0.93 to -0.53; n=65 comparisons) for anxiety, indicating that digital health intervention groups had lower postintervention depression and anxiety symptoms compared with controls. Although heterogeneity was considerable (I²=0.94 for depression and 0.95 for anxiety), we found notable sources of variability between the studies, including intervention content, depression or anxiety symptom severity, control type, and age. Grading of Recommendations, Assessments, Development, and Evaluation showed that the evidence quality was overall high.

CONCLUSIONS

Digital mental health tools are moderately to highly effective in reducing depression and anxiety symptoms in LMICs. Thus, they could be effective options to close the gap in depression and anxiety care in LMICs, where the usual mental health care is minimal.

TRIAL REGISTRATION

PROSPERO CRD42021289709; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=289709.

Optimizing cognitive and behavioral approaches for perinatal depression: A systematic review and meta-regression analysis

Cognitive behavioral therapies (CBT) have been demonstrated efficacious in treating perinatal depression (PND). This has been demonstrated in several meta-analyses of randomized controlled trials and quasi-experimental studies. However, there is a need for up-to-date meta-analytical evidence providing reliable estimates for CBT's effectiveness in treating and preventing PND. Furthermore, with the world moving toward precision medicine, approaches require a critical synthesis of psychotherapies, especially to unpack their mechanisms of action and to understand what approaches work best for whom. Therefore, the present systematic review and meta-regression analyses aim to answer these research questions. We searched six academic databases through February 2022 and identified 56 studies for an in-depth review. Using pretested data extraction sheets, we extracted patient-level and intervention-level characteristics and effect size data from each study. Random-effects meta-analyses and mixed-effect subgroup analyses were run to delineate the effectiveness and moderators of CBT interventions for PND, respectively. CBT-based interventions yielded a strong effect size (SMD = -0.74, 95% confidence interval [CI]: -0.91 to -0.56, n = 9,722) in alleviating depressive symptoms. These interventions were effective across different delivery formats (individual, group, and electronic) and could be delivered effectively by specialists and nonspecialists. Longer duration CBT interventions may not necessarily be more effective than shorter ones. Moreover, CBT-based interventions should consider including various behavioral ingredients to maximize intervention benefits.

Preventing Postpartum Depression in the Early Postpartum Period Using an App-Based Cognitive Behavioral Therapy Program: A Pilot Randomized Controlled Study

A large proportion of women experience depression during the postpartum period. Few studies have investigated the use of mobile technology to prevent postpartum depression in women. This study investigated the preliminary effectiveness of the CareMom program, a new app-based cognitive behavioral therapy program, on reducing the depressive symptoms of mothers during the very early postpartum period via a pilot randomized controlled study. The participants were recruited during birth hospitalization (within 3 days after giving birth) and randomized to the waiting-list control and CareMom groups. Over the four-week intervention period, the CareMom group was required to complete 28 daily challenges via CareMom. The depressive (via EPDS) and anxiety (via GAD-7) levels of participants were measured at baseline and every 7 days postbaseline for 4 weeks. A total of 112 eligible participants were randomly allocated to the two groups (CareMom: n = 57; control: n = 55). At week 4, the CareMom group achieved a significantly lower EPDS score than the control group at week 4 (p = 0.037). In addition, the EPDS (p < 0.001) scores of the CareMom group were significantly lower than the baseline values. However, the control group did not show any significant reduction in this measure. No significant reduction of GAD-7 scores was observed for CareMom and control groups at week 4. This study provides preliminary evidence of the effectiveness of CareMom in reducing depressive symptoms in the general postpartum population during the very early postpartum period.

Factors affecting postpartum depression in Turkish women

AIM

To assess the effects of cognitive emotion regulation, emotional intelligence status and related factors on postpartum depression (PPD) in postpartum women.

DESIGN AND METHODS

This descriptive and cross-sectional study was conducted in 268 mothers with babies aged 1-12 months. The study was carried out between 01 November 2021 and 01 February 2022 in the pediatric outpatient clinic of the Medical Faculty Hospital of a province in the Central Anatolian Region of Turkey. Data were collected using the sociodemographic and obstetric data collection form, Edinburgh Postnatal Depression Scale (EPDS), Cognitive Emotion Regulation Questionnaire-Short Form (CERQ), and Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF).

RESULTS

Seventy-one (26.5 %) mothers received scores above the cut-off point (>13) in the depression scale. Experiencing emotional violence, having cognitive emotion regulation difficulties, and low emotional intelligence characteristics affected the risk of developing postpartum depression by 16 % (F = 13.757, p < 0.001).

CONCLUSION

Exposure to emotional violence, cognitive emotion regulation, and emotional intelligence status reveal that they are important in identifying women at risk of PPD. These findings highlight the need for nurses to develop comprehensive cognitive emotion regulation and emotional intelligence traits assessment programs, including depression screening.

Study Protocol of an App-Based Prevention Program for Perinatal Depression

The prevalence of perinatal depression (PND) in China is continuously rising, and the suicide rate among pregnant women is remarkably high. Preventing the occurrence of PND based on the management of primary health care is of great significance. Improving adherence to intervention programs is a key concern for PND prevention. Thus, a new intervention strategy based on mobile health could bring a new perspective to prevent the occurrence of PND and reduce the sample dropout rate. A single-blind, cluster randomized controlled trial will be performed to evaluate the effectiveness of a personalized, dynamic, and stratified intervention strategy based on an app. Four health centers will be randomly selected and randomly assigned to an intervention group (two centers) and a control group (two centers). Participants (n = 426) will be enrolled from the four selected health centers, with 213 in each group. The intervention group will receive the interventions personalized by the feature-matching algorithm of the user profile and be reassigned to the low-risk group (Edinburgh Postnatal Depression Scale [EPDS] < 9) or moderate/high-risk group (9 ≤ EPDS < 13 and EPDS ≥ 13, but not meeting the criteria for PND) for intervention based on each EPDS score until 6 months after delivery. The control group will receive the same intervention components of the app but without the dynamic, personalized, and stratified function. Depression status, negative emotion symptoms, parental competence, and sample dropout rate will be measured at different weeks of pregnancy (12-16 [baseline], 24, 37) and at 42 days, 3 months, and 6 months after delivery. Follow-up evaluation (t₆: 12 months after delivery) will also be conducted. If the intervention is effective, it will provide a personalized, time-friendly, and dynamic intervention for preventing PND. This phenomenon can effectively reduce the sample dropout rate and provide an empirical basis for promoting maternal mental health.

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.

Effectiveness of Internet-based psychological interventions for treating perinatal depression: A systematic review and meta-analysis

BACKGROUND

Perinatal depression can result in short- and long-term adverse effects for women and their children if untreated. Psychological interventions, the preferred treatment for most women with perinatal depression, can also be provided online.

AIMS

This study aimed to provide a comprehensive and systematic review of Internet-based psychological interventions and to evaluate their effectiveness in the treatment of perinatal depression.

DESIGN

Systematic review and meta-analysis.

METHODS

A systematic literature search was conducted of six databases, including CINAHL, PubMed, Embase, Web of Science, the Cochrane Library and PsycINFO. Depression and anxiety, which were the primary and secondary results of this search, were presented as standardised mean differences (SMD) and 95% confidence intervals (CIs). This review was conducted according to the PRISMA checklist.

RESULTS

Thirteen studies involving 2158 perinatal women were included. Content, method, duration and frequency of Internet-based psychological interventions were varied. Participants indicated a high rate of satisfaction with these interventions; participants' dropout rates ranged from 2.6% to 60.8%. Meta-analysis demonstrated that Internet-based psychological interventions improved perinatal depression (SMD = -0.72, CI = [-1.02, -0.42], p < .01) and anxiety symptoms (SMD = -0.52, CI = [-0.73, -0.30], p < .01), with heterogeneity of 86% and 59%, respectively.

CONCLUSIONS

Internet-based psychological interventions are considered as convenient and effective alternative treatment for perinatal depression and anxiety. In the future, additional studies are needed to investigate the long-term effects of these interventions on the mental health of perinatal women and the effects on the growth and development of infants while controlling for the dropout rate.

RELEVANCE TO CLINICAL PRACTICE

Internet-based psychological interventions are innovative approaches to improving perinatal depressive symptoms that can leverage mental health resources and improve accessibility while promoting multidisciplinary integration. The approach, content, frequency and duration of intervention should be considered comprehensively to achieve the objectives of the intervention while maintaining compliance of women with perinatal depression.

The effectiveness of telemedicine interventions on women with postpartum depression: A systematic review and meta-analysis

BACKGROUND

Postpartum depression (PPD) is a public health problem that has significant adverse effects on mothers, couple's relationships, newborn neurodevelopment, and child emotional and cognitive development. This study reviewed the effectiveness of telemedicine interventions in postparturient women with postpartum depression.

AIMS

To evaluate the effectiveness of telemedicine intervention in women with postpartum depression.

METHODS

Cochrane Library, PubMed, EMBASE, Web of Science, CINAHL, and PsycINFO were searched for relevant articles published between 2003 and March 2021. We also manually reviewed the reference lists of the retrieved articles. The present study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The risk of bias for individual studies was evaluated according to the Cochrane Handbook. RevMan 5.4 software was used to carry out the meta-analysis.

RESULTS

The meta-analysis included 20 randomized controlled trials with a total of 3252 patients. The results demonstrated that telemedicine was an effective intervention for treating PPD and anxiety and for improving functional impairment in women during their postpartum period.

LINKING EVIDENCE TO ACTION

This meta-analysis provided evidence that telemedicine was an effective intervention for treating PPD in women. Telemedicine also has significant effects on anxiety and improved functional impairment in women during their postpartum period. Our findings may provide accurate evidence-based guidance for postpartum women's mental health management. In the future, more high-quality studies are required for verifying these results.

Effects of internet-based cognitive behavioral therapy on postpartum depression: A protocol for systematic review and meta-analysis

BACKGROUND

Postpartum depression is one of the most common complications during the postpartum period. In recent years, internet-based psychological interventions have made significant progress and provided a new psychotherapy model. Internet-based cognitive behavioral therapy (ICBT) for postpartum depression has achieved good results. However, the effectiveness of ICBT for postpartum depression reported by different studies still remains inconsistent. Therefore, a meta-analysis was used to further evaluate the efficacy of ICBT for postpartum depression, aiming to provide evidence to support nonpharmacological intervention strategies in the clinic.

METHODS

The databases of PubMed, Web of Science, Scopus, Cochrane Library, Embase, China Scientific Journal Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and Wanfang Data will be searched. The randomized controlled trials of ICBT will be included for postpartum depression published before February 2022. Two independent researchers will independently complete literature selection, risk of bias assessment and data extraction. The disagreements will be discussed with a third party for the final decision. Cochrane Risk of Bias Assessment Tool will be used for literature quality assessment. Data processing will be conducted by RevMan 5.4 software.

RESULTS

The results of this meta-analysis will be submitted to a peer-reviewed journal for publication.

CONCLUSIONS

For the question whether ICBT for postpartum depression is efficacy, this study can provide more comprehensive and strong evidence.

ETHICS AND DISSEMINATION

The ethical approval was not required for this study. The systematic review will be published in a peer-reviewed journal, presented at conferences, and shared on social media platforms.

OSF REGISTRATION NUMBER

DOI 10.17605/OSF.IO/EQJDH.

Effects of the non-pharmacological interventions of traditional Chinese medicine on postpartum depression: A protocol for systematic review and network meta-analysis

BACKGROUND

Postpartum depression (PPD) has become one of the common disorders during the postpartum period. The non-pharmacological interventions of traditional Chinese medicine (TCM) have achieved good results in the treatment of PPD. However, the efficacy of different non-pharmacological interventions of TCM for PPD has not been fully elucidated. Due to the large number of non-pharmacological intervention of TCM modalities, the selection of appropriate non-pharmacological interventions of TCM has become an urgent clinical problem. The aim of this network meta-analysis was to explore the best choice for different non-pharmacological interventions of TCM for PPD.

METHODS

PubMed, Web of Science, Scopus, Cochrane Library, Embase, China Scientific Journal Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and Wanfang Data were searched to identify the randomized controlled trials of non-pharmacological interventions of TCM for PPD from the inception to February 2022. Two researchers will be independently responsible for literature screening, data extraction, and assessment of their quality. Standard pair-wise and Bayesian network meta-analysis will be performed to compare the efficacy of different non-pharmacological interventions of TCM for PPD via Stata 14.0 and WinBUGS1.4 software.

RESULTS

The results of this meta-analysis will be submitted to a peer-reviewed journal for publication.

CONCLUSIONS

The conclusion of this systematic review will provide evidence for the selection of an optimal non-pharmacological interventions of TCM for PPD.

ETHICS AND DISSEMINATION

Ethical approval is not required for this study. The systematic review will be published in a peer-reviewed journal, presented at conferences, and shared on social media platforms.

OSF REGISTRATION NUMBER

DOI 10.17605/OSF.IO/TM96G.

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.

Effect of digital cognitive behavioral therapy on psychological symptoms among perinatal women in high income-countries: A systematic review and meta-regression

Several reviews focused on the use of digital cognitive behavioral therapy (CBT) across different populations. This review synthesized randomized controlled trials (RCTs) that evaluated the effectiveness of digital CBT on psychological symptoms (depression, anxiety, and stress symptoms). An extensive search was conducted in 10 databases from inception until August 29, 2021. A meta-analysis using a random-effects model was performed using Hedges' g. The potential sources of heterogeneity were explored through subgroup analyses and meta-regression analysis. A total of 18 RCTs in 2514 perinatal women were identified from over 23 countries. The sample size ranged from 25 to 910. Meta-analyses showed that digital CBT significantly reduced depression (g = -0.56, 95% CI: -0.85, -0.27, I² = 84.81%, p < 0.001), anxiety (g = -0.30, 95% CI: -0.44, -0.17, I² = 0%, p < 0.001), and stress (g = -0.75, 95% CI: -0.95, -0.56, I² = 0%, p < 0.001) symptoms at post-intervention and stress symptoms at follow-up (g = -0.52, 95% CI: -0.93, -0.11, I² = 0%, p = 0.01) compared with those in the control group. Subgroup analyses highlighted that the intervention was effective when CBT was combined with other therapeutic components which delivered via a mobile application. Preferable features of intervention should be more than eight sessions and conducted for than 6 weeks among postnatal women. Multivariable meta-regression showed that age was a significant covariate on depression symptoms. The sample size in the selected RCTs was small, and the overall quality of the evidence was very low. Digital CBT is a potential intervention for alleviating psychological outcomes in perinatal women. This review suggests the essential features to optimize the intervention effect. Further well-designed RCTs with large sample sizes are necessary.

A Systematic Review of Interventions That Integrate Perinatal Mental Health Care Into Routine Maternal Care in Low- and Middle-Income Countries

BACKGROUND

Women in low- and middle-income countries (LMICs) are disproportionally affected by perinatal depression and anxiety and lack access to mental health care. Integrating perinatal mental health care into routine maternal care is recommended to address gaps in access to mental health care in such under-resourced settings. Understanding the effectiveness of interventions that integrate perinatal mental health care into routine maternal care in LMICs is critical to inform ongoing intervention development, implementation, and scale-up. This systematic review aims to assess the effectiveness of interventions that integrate perinatal mental health care into routine maternal care to improve maternal mental health and infant health outcomes in LMICs.

METHOD

In accordance with the PRISMA guidelines, an electronic database search was conducted seeking publications of controlled trials examining interventions that aimed to integrate perinatal mental health care into routine maternal care in LMICs. Abstracts and full text articles were independently reviewed by two authors for inclusion utilizing Covidence Review Software. Data was extracted and narrative synthesis was conducted.

FINDINGS

Twenty studies met eligibility criteria from the initial search results of 2,382 unique citations. There was substantial heterogeneity between the study samples, intervention designs, and outcome assessments. Less than half of the studies focused on women with active depression or anxiety. Most studies (85%) implemented single intervention designs involving psychological, psychosocial, psychoeducational, or adjuvant emotion/stress management. There were few interventions utilizing multicomponent approaches, pharmacotherapy, or referral to mental health specialists. Outcome measures and assessment timing were highly variable. Eighteen studies demonstrated significantly greater improvement on depression and/or anxiety measures in the intervention group(s) as compared to control.

CONCLUSION

Integrated interventions can be effective in LMICs. The findings provide a critical understanding of current interventions design gaps. This includes the lack of comprehensive intervention designs that incorporate increasing intensity of treatment for more severe illness, pharmacotherapy, mental health specialist referrals, and non-mental health professional training and supervision. The findings also provide strategies to overcome design and implementation barriers in LMICs. Study findings provide a foundation for future evidence-based adaptation, implementation, and scale-up of interventions that integrate perinatal mental health care into routine maternal care in LMICs.

SYSTEMATIC REVIEW REGISTRATION

[https://www.crd.york.ac.uk/prospero/display_ record.php?ID=CRD42021259092], identifier [CRD42021259092].

Evaluating the effectiveness and quality of mobile applications for perinatal depression and anxiety: A systematic review and meta-analysis

BACKGROUND

Our objectives were to assess: (1) the effectiveness of existing mHealth apps for reducing symptoms of maternal depression and/or anxiety during the prenatal period and/or the first year postpartum, and (2) the app quality of commercially available apps targeting perinatal depression and/or anxiety.

METHODS

To address Objective 1, we searched five electronic databases (MEDLINE, CINAHL, PsycINFO, Web of Science, and Embase) from their inception until May 3rd, 2021. For the second objective, we searched Google Play and Apple App Stores in the United States, United Kingdom, Canada, and Australia until May 3rd, 2021.

RESULTS

Our search identified 3,897 articles, seven of which were meta-analyzed. mHealth apps did not improve perinatal depression (SMD, -0.39; 95% CI, -0.80 to 0.03) or anxiety (SMD, 0.01; 95% CI, -0.13 to 0.16) within the first 3 months post-intervention or at 6 months post-intervention. Our search of app stores identified 74 commercially available apps, 37 of which were evaluated via MARS tool. Current apps for perinatal anxiety and/or depression were rated to be of moderate quality on the MARS (mean, 3.6/5).

LIMITATIONS

There is a small number of overall studies in this field and the individual studies have methodological limitations. Furthermore, few apps identified in our app store search have been clinically tested.

CONCLUSION

Despite their widespread availability, mHealth apps do not appear to effectively reduce perinatal depression or anxiety, and few were subjectively rated to be of high quality. There is a need to develop higher quality mHealth apps and assess their potential to improve perinatal maternal mental health.

Mobile interventions targeting common mental disorders among pregnant and postpartum women: An equity-focused systematic review

INTRODUCTION

Pregnant and postpartum women face major psychological stressors that put them at higher risk of developing common mental disorders, such as depression and anxiety. Yet, their limited access to and uptake of traditional mental health care is inequitable, especially during the COVID-19 pandemic. Mobile interventions emerged as a potential solution to this discontinued healthcare access, but more knowledge is needed about their effectiveness and impact on health equity. This equity-focused systematic review examined the effectiveness and equity impact of mobile interventions targeting common mental disorders among pregnant and postpartum women.

METHODS AND RESULTS

We systematically searched MEDLINE, EMBASE, PsychINFO and 3 other databases, from date of database inception and until January 2021, for experimental studies on mobile interventions targeting pregnant and postpartum women. We used pooled and narrative synthesis methods to analyze effectiveness and equity data, critically appraised the methodological rigour of included studies using Cochrane tools, and assessed the certainty of evidence using the GRADE approach. Our search identified 6148 records, of which 18 randomized and non-randomized controlled trials were included. Mobile interventions had a clinically important impact on reducing the occurrence of depression (OR = 0.51 [95% CI 0.41 to 0.64]; absolute risk reduction RD: 7.14% [95% CI 4.92 to 9.36]; p<0.001) and preventing its severity perinatally (MD = -3.07; 95% CI -4.68 to -1.46; p<0.001). Mobile cognitive behavioural therapy (CBT) was effective in managing postpartum depression (MD = -6.87; 95% CI -7.92 to -5.82; p<0.001), whereas other support-based interventions had no added benefit. Results on anxiety outcomes and utilization of care were limited. Our equity-focused analyses showed that ethnicity, age, education, and being primiparous were characteristics of influence to the effectiveness of mobile interventions.

CONCLUSION

As the COVID-19 pandemic has increased the need for virtual mental health care, mobile interventions show promise in preventing and managing common mental disorders among pregnant and postpartum women. Such interventions carry the potential to address health inequity but more rigorous research that examines patients' intersecting social identities is needed.

Effectiveness of Telehealth Interventions for Women With Postpartum Depression: Systematic Review and Meta-analysis

BACKGROUND

Postpartum depression (PPD) is a prevalent mental health problem with serious adverse consequences for affected women and their infants. Clinical trials have found that telehealth interventions for women with PPD result in increased accessibility and improved treatment effectiveness. However, no comprehensive synthesis of evidence from clinical trials by systematic review has been conducted.

OBJECTIVE

The aim of this study is to evaluate the effectiveness of telehealth interventions in reducing depressive symptoms and anxiety in women with PPD. To enhance the homogeneity and interpretability of the findings, this systematic review focuses on PPD measured by the Edinburgh Postnatal Depression Scale (EPDS).

METHODS

PubMed, The Cochrane Library, CINAHL, PsycINFO, CNKI, and Wanfang were electronically searched to identify randomized controlled trials (RCTs) on the effectiveness of telehealth interventions for women with PPD from inception to February 28, 2021. Data extraction and quality assessment were performed independently by two researchers. The quality of included studies was assessed using the Cochrane risk-of-bias tool, and meta-analysis was performed using RevMan 5.4 software.

RESULTS

Following the search, 9 RCTs with a total of 1958 women with PPD were included. The EPDS (mean difference=-2.99, 95% CI -4.52 to -1.46; P<.001) and anxiety (standardized mean difference=-0.39, 95% CI -0.67 to -0.12; P=.005) scores were significantly lower in the telehealth group compared with the control group. Significant subgroup differences were found in depressive symptoms according to the severity of PPD, telehealth technology, specific therapy, and follow-up time (P<.001).

CONCLUSIONS

Telehealth interventions could effectively reduce the symptoms of depression and anxiety in women with PPD. However, better designed and more rigorous large-scale RCTs targeting specific therapies are needed to further explore the potential of telehealth interventions for PPD.

TRIAL REGISTRATION

PROSPERO CRD42021258541; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=258541.

Effectiveness of digital psychotherapeutic intervention among perinatal women: A systematic review and meta-analysis of randomized controlled trials

BACKGROUND

The perinatal period is a challenging time of substantial emotional, physiological, social, and relational changes. Depression, anxiety, and stress symptoms are common, and co-exist in the perinatal period. Digital technology continues to grow at an unprecedented pace with wide application, including psychotherapeutic intervention. A growing number of meta-analyses supported the application of digital psychotherapeutic intervention across different populations, but relatively few meta- and meta-regression analyses have concentrated on perinatal women.

AIM

To evaluate the effectiveness of digital psychotherapeutic intervention on improving psychological outcomes among perinatal women and identify its essential features.

METHODS

Randomized controlled trials (RCTs) were obtained from eight databases, including Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Embase, Scopus, PsycINFO, PubMed, Web of Science, and ProQuest Dissertation and Theses from inception up until November 24, 2020. Comprehensive Meta-analysis 3.0 software was used to conduct meta- and meta-regression analyses. The Cochrane risk-of-bias tool and the Grading of the Recommendation, Assessment, Development, and Evaluation system were adopted to assess the individual and overall qualities of the evidence, respectively.

RESULTS

A total of 25 RCTs that included 3239 women were identified. Meta-analyses revealed that intervention significantly improved depression (Hedges's g = 0.49), anxiety (g = 0.25), and stress (g = 0.47) symptoms compared to the control. Subgroup analyses demonstrated that a website platform with ≥ eight therapist-guided sessions using the theoretical principle of cognitive behavioral therapy was more effective than other treatments in improving depression symptoms in postnatal women. Meta-regression analyses observed that the age of perinatal women and the type of psychotherapy also had statistically significant effects on depression symptoms. Egger's regression asymmetry tests suggested that no publication biases occurred, but the overall quality of the evidence was very low.

CONCLUSION

This review suggests that digital psychotherapeutic intervention may be a potential solution to reduce psychological problems in perinatal women. Further high-quality RCTs with large sample sizes are needed.

Evidence on Technology-Based Psychological Interventions in Diagnosed Depression: Systematic Review

BACKGROUND

Evidence on technology-based psychological interventions (TBIs) for the treatment of depression is rapidly growing and covers a broad scope of research. Despite extensive research in this field, guideline recommendations are still limited to the general effectiveness of TBIs.

OBJECTIVE

This study aims to structure evidence on TBIs by considering different application areas (eg, TBIs for acute treatment and their implementation in health care, such as stand-alone interventions) and treatment characteristics (eg, therapeutic rationale of TBIs) to provide a comprehensive evidence base and to identify research gaps in TBIs for diagnosed depression. Moreover, the reporting of negative events in the included studies is investigated in this review to enable subsequent safety assessment of the TBIs.

METHODS

Randomized controlled trials on adults diagnosed with unipolar depression receiving any kind of psychotherapeutic treatment, which was at least partly delivered by a technical medium, were eligible for inclusion in our preregistered systematic review. We searched for trials in CENTRAL (Cochrane Central Register of Controlled Trials; until August 2020), MEDLINE, PsycINFO, PSYNDEX, CINAHL; until the end of January 2018), clinical trial registers, and sources of gray literature (until the end of January 2019). Study selection and data extraction were conducted by 2 review authors independently.

RESULTS

Database searches resulted in 15,546 records, of which 241 publications were included, representing 83 completed studies and 60 studies awaiting classification (ie, preregistered studies, study protocols). Almost all completed studies (78/83, 94%) addressed the acute treatment phase, being largely either implemented as stand-alone interventions (66/83, 80%) or blended treatment approaches (12/83, 14%). Studies on TBIs for aftercare (4/83, 5%) and for bridging waiting periods (1/83, 1%) were scarce. Most TBI study arms (n=107) were guided (59/107, 55.1%), delivered via the internet (80/107, 74.8%), and based on cognitive behavioral treatment approaches (88/107, 79.4%). Almost all studies (77/83, 93%) reported information on negative events, considering dropouts from treatment as a negative event. However, reports on negative events were heterogeneous and largely unsystematic.

CONCLUSIONS

Research has given little attention to studies evaluating TBIs for aftercare and for bridging waiting periods in people with depression, even though TBIs are seen as highly promising in these application areas; thus, high quality studies are urgently needed. In addition, the variety of therapeutic rationales on TBIs has barely been represented by identified studies hindering the consideration of patient preferences when planning treatment. Finally, future studies should use specific guidelines to systematically assess and report negative events.

TRIAL REGISTRATION

International Prospective Register of Systematic Reviews (PROSPERO) CRD42016050413; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42016050413.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1136/bmjopen-2018-028042.

A systematic review of mHealth application interventions for peripartum mood disorders: trends and evidence in academia and industry

In this review, we aim to summarize research findings and marketplace apps for women with perinatal mood disorders with the goal of informing clinicians and patients about current risks and benefits, as well as proposing clinical implementation advice and a harmonized agenda for both academic and industry advancement in this space. Multiple searches were run of academic databases in 2018-2020, examining literature on mobile apps for peripartum mental health. Multiple searches were also run of the iOS and Android app stores in 2019 and 2020, looking at apps for peripartum mental health. Results were compared within the academic dataset as well within the commercial app dataset; the two datasets were also examined for overlap. The academic search results were notable for small sample sizes and heterogeneous endpoints. The app store search results were notable for apps of generally poor quality (as assessed by a modified Silberg scale). Very few of the mHealth interventions studied in the academic literature were available in the app store; very few of the apps from the commercial stores were supported by academic literature. The disconnect between academically developed apps and commercially available apps highlights the need for better collaboration between academia and industry. More collaboration between the two approaches may benefit both app developers and patients in this demographic moving forwards. Additionally, we present a set of practice guidelines for mHealth in perinatal psychiatry based on the trends identified in this review.

A Blended Cognitive-Behavioral Intervention for the Treatment of Postpartum Depression: Study Protocol for a Randomized Controlled Trial

Despite the existence of effective treatment for postpartum depression, few women seek professional help, indicating the need for a new and innovative format of treatment that can overcome help-seeking barriers. This article presents the study protocol for a blended cognitive–behavioral intervention for the treatment of postpartum depression, by integrating face-to-face sessions with a web-based program (Be a Mom) into one treatment protocol. This study will be a two-arm, noninferiority randomized controlled trial comparing blended intervention to usual treatment for postpartum depression provided in healthcare centers. Portuguese postpartum adult women diagnosed with postpartum depression (according to the DSM-5 diagnostic criteria for major depressive disorder) will be recruited during routine care appointments in local healthcare centers and will be eligible to participate. Measures will be completed at baseline, postintervention, and at three- and six-month follow-ups. The primary outcome will be depressive symptoms. Secondary outcomes will include anxiety symptoms, fatigue, quality of life, marital satisfaction, maternal self-efficacy, and mother–child bonding. Cost-effectiveness analysis and mediator and moderator analysis will be conducted. This study will provide insight into the efficacy and cost-effectiveness of a blended psychological intervention in the Portuguese context and increase the empirically validated treatment options for postpartum depression.

mHealth and Perinatal Depression in Low-and Middle-Income Countries: A Scoping Review of the Literature

Women in low- and middle-income countries have high rates of perinatal depression. As smartphones become increasingly accessible around the world, there is an opportunity to explore innovative mHealth tools for the prevention, screening, and management of perinatal depression. We completed a scoping review of the literature pertaining to the use of mobile phone technologies for perinatal depression in low-and middle-income countries. PubMed CINHAL, and Google Scholar databases were searched, generating 423 results. 12 articles met our inclusion criteria. Two of the 12 articles reviewed mobile phone applications. The remaining 9 articles were study protocols or descriptive/intervention studies. Our results reveal that minimal literature is currently available on the use of mobile health for perinatal depression in low- and middle-income countries. We found four articles that present the results of an intervention that were delivered through mobile phones for the treatment of perinatal depressive symptoms and an additional qualitative study describing the perceptions of mothers receiving cognitive behavioral therapy via telephones. These studies demonstrated that depressive symptoms improved after the interventions. There is potential to improve the quality of mHealth interventions, specifically mobile phone applications for perinatal depressive symptoms and depression, through meaningful collaborative work between healthcare professionals and application developers.