This paper is in the following e-collection/theme issue:

Wearables and MHealth Reviews (273) Depression and Mood Disorders; Suicide Prevention (1363) Web-based and Mobile Health Interventions (3297) Perinatal Depression; Postpartum Depression; PPD (94) Reviews in Digital Mental Health (243) Telehealth and Telemonitoring (1671)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32544, first published .
Effectiveness of Telehealth Interventions for Women With Postpartum Depression: Systematic Review and Meta-analysis

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

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

Authors of this article:

Liuhong Zhao1 Author Orcid Image ;   Jingfen Chen1 Author Orcid Image ;   Liuying Lan1 Author Orcid Image ;   Ni Deng2 Author Orcid Image ;   Yan Liao3 Author Orcid Image ;   Liqun Yue4 Author Orcid Image ;   Innie Chen3, 5, 6 Author Orcid Image ;   Shi Wu Wen3, 5, 6 Author Orcid Image ;   Ri-hua Xie1 Author Orcid Image
Article Authors Cited by (37) Tweetations (5) Metrics

    Review

    1Department of Nursing, The Seventh Affiliated Hospital, Southern Medical University, Foshan, China

    2Department of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Southern Medical University, Foshan, China

    3Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada

    4Department of Nursing, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, China

    5Department of Obstetrics & Gynecology, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada

    6School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada

    *these authors contributed equally

    Corresponding Author:

    Ri-hua Xie, PhD, FAAN

    Department of Nursing

    The Seventh Affiliated Hospital

    Southern Medical University

    28 Liguan Road, Lishui

    Foshan, 528244

    China

    Phone: 86 189 2869 7126

    Email: xierihua928@hotmail.com


    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

    JMIR Mhealth Uhealth 2021;9(10):e32544

    doi:10.2196/32544

    Keywords

    telehealth; postpartum depression; anxiety; meta-analysis 


    Postpartum depression (PPD) is one of the most common mental health disorders in women after giving birth. A systematic review comprised of 58 articles with a total of 37,294 women reported that the overall prevalence of PPD was 17% among healthy mothers [1]. PPD symptoms in women manifest as sleep disorders, mood swings, sadness and crying, loss of appetite, a lack of interest in daily activities, or even more serious adverse outcomes such as suicide and infanticide [2]. PPD may also be associated with an increased risk of cognitive and behavioral problems in infants [3]. Timely access to effective interventions such as psychotherapy and pharmacotherapy is important for women affected by PPD [4,5]. However, breastfeeding mothers may have concerns regarding their infant’s exposure to medications because of reported side effects of antidepressant exposure in infants (eg, excessive crying, colic, irritability, sedation, poor feeding, and sleep problems) [6]. Therefore, antidepressant medications are recommended only for women with severe depression, while psychotherapy is the first-line method for prevention and treatment of mild to moderate PPD [7]. The clinical effectiveness of common psychotherapies for PPD such as peer support therapy [8], interpersonal therapy [9], cognitive behavioral therapy [10], and mindfulness therapy [11] has been demonstrated. However, psychotherapy conducted in a traditional face-to-face manner may not be accessible for many women due to time and financial hurdles, childcare concerns, and fear of social stigma [12].

    Women who have challenges accessing face-to-face psychotherapy may benefit from telehealth interventions, through which health care and health education could be provided to them at home [13]. Telehealth technologies include telephones, websites, videoconferences, and apps that allow consultation, assessment, and intervention services to be provided remotely by health professionals or peer support [14], which have been widely used to help manage diseases in various domains, including diabetes self-management [15], pulmonary rehabilitation [16], and palliative home care [17]. In addition, telehealth has been gaining momentum in continuous obstetrical care [18]. Telehealth facilitates interactions and communication between specialists and patients in the field of maternal-fetal medicine, especially in the postpartum period for breastfeeding and lactation assistance in rural communities [19]. Telehealth care has many benefits, including increased access and convenience and decreased social stigma and costs [20].

    A previous study [21] showed that there are 18 scales for screening depression symptoms, including the Patient Health Questionnaire-9 Item [22], the Beck Depression Inventory II scale [23], the Postpartum Depression Screening Scale [24], and the Edinburgh Postnatal Depression Scale (EPDS) [25,26]. These scales have different sensitivity, specificity, and disease predictivity. Of them, EPDS is the most reliable scale in terms of disease predictivity and adaptivity for differences in population profiles, and it has therefore been the most frequently used scale in clinical and research settings to screen for PPD [25,26]. To enhance the homogeneity and interpretability of the findings, this systematic review targets adult women with PPD measured by EPDS [25,26].


    Overview

    This systematic review was conducted following the guidelines of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement [27]. The study protocol was registered in PROSPERO (the International Prospective Register of Systematic Reviews) as CRD42021258541.

    Search Strategy

    For this study, 4 English databases (PubMed, the Cochrane Library, CINAHL, and PsycINFO) and 2 Chinese databases (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. Advanced searches were performed using a combination of two groups of terms according to the syntax rules of each database: (1) telehealth-related terms, including telehealth, telemedicine, telecommunication, telephone, remote consultation, information technology, mobile health, m-Health, e-Health, internet, web-based, social media, application, and software, and (2) PPD-related terms, including postpartum depression, PPD, post-partum depression, postnatal depression, post-natal depression, maternal depression, postpartum mental disorder, and puerperal disorder. In addition, ClinicalTrials.gov, the World Health Organization International Clinical Trials Registry Platform, and the Chinese Clinical Trial Register were searched for unpublished trials relevant to this review.

    Inclusion and Exclusion Criteria

    To be eligible, RCTs had to meet the following criteria: (1) target adult women with EPDS scores ≥9 points; (2) use telehealth interventions including mobile phones, apps, websites, or other remote technologies compared with routine care in the control group (participants in the control group were inaccessible to any telehealth technologies, but were free to receive routine care including any offline treatment at public hospitals or maternal and child health care centers); (3) assess the primary outcome of depression symptoms using EPDS, and secondary outcomes including any improvement of social support, loneliness, and anxiety using any scale; and (4) be published in English or in Chinese.

    Studies were excluded for the following reasons: (1) study included women with severe physical illnesses, a history of mental illnesses and medication treatments, drug and/or alcohol abuse, or suicidal tendency; (2) study included women whose infants had adverse neonatal outcomes such as 5-minute Apgar score <5 points, assisted ventilation for more than 6 hours, neonatal seizure, birth injury, or neonatal death; and (3) study was an RCT protocol or duplicate.

    Study Selection

    The software Endnote X9 (Clarivate Analytics) was used to import all the references and remove duplicates. The remaining studies were assessed against the inclusion and exclusion criteria by two independent reviewers (LZ and JC). Study selection was conducted in a stepwise manner. First, titles and abstracts of all studies were independently screened for potential eligibility. Any disagreements were discussed until consensus was reached. Second, the full papers of all included abstracts were independently assessed. Any discrepancies that arose during the assessment were resolved by a third reviewer (RHX).

    Quality Assessment

    The risk of bias was assessed according to the guidelines provided by the Cochrane risk-of-bias tool for randomized trials (version 2.0) [28]. Risk ratings of “low risk,” “unclear,” and “high risk” were assigned to each type of bias based on the presence of selection bias, performance bias, detection bias, attrition bias, reporting bias, and other bias. Any disagreements with respect to study quality were resolved by a third reviewer (RHX).

    Data Extraction

    The data were extracted independently by two reviewers (LZ and JC) at the same time and disagreements were resolved by consensus. Data extracted from each relevant trial included author, the year of publication, country, participant, inclusion criterion (EPDS scores), sample size, telehealth technology, specific therapy, follow-up time, and outcomes (primary and secondary outcomes) with measure scales. Any disagreements between the two reviewers were resolved by a third reviewer (RHX).

    Data Synthesis and Analysis

    RevMan 5.4 software (The Cochrane Collaboration) was applied in the meta-analysis of the data. The effect estimate was expressed as means and standard deviations (SD) for continuous data. The standardized mean differences (SMD) with their corresponding 95% CI were applied to combine studies that measured the same outcome with different scales. If the same scales were used to evaluate one outcome, mean difference (MD) with its 95% CI could be employed. MD was derived from inverse variance methods. If the SD was not reported, it was computed from standard error (SE) following the Cochrane Handbook [28]: . Heterogeneity was assessed by I², with significant statistical heterogeneity as I²>50%. The fixed-effect model was used to estimate one true effect in cases without significant heterogeneity (I2<50%), whereas the random-effect model was employed to estimate the effects in cases with significant heterogeneity between studies (I²>50%). When there was significant heterogeneity, data would be double-checked and then subgroup analysis or sensitivity analysis was performed to explore the sources of heterogeneity. A P value <.05 was considered statistically significant.


    Search Results

    The PRISMA flow diagram for this study is shown in Figure 1. The search strategies yielded 1001 potentially relevant citations from the 6 electronic databases searched. After excluding duplications and screening titles and abstracts for eligibility, 31 studies were retained for full-text evaluation. Of them, 22 studies were excluded according to the inclusion and exclusion criteria. A total of 9 studies [29-37] were included in this systematic review.

    ‎
    Figure 1. Flow diagram of study selection.
    View this figure

    Characteristics of Included Studies

    This systematic review included 9 RCTs [29-37] with a total of 1958 participants. The 9 studies included were conducted in Singapore, Canada, Portugal, Iran, China, and the United Kingdom and were published between 2003 and 2020. Participants were postpartum women aged ≥18 years. All recruited participants had baseline EPDS scores ≥9 points. The sample sizes ranged from 42 to 910. The 9 included studies applied telehealth technologies including telephones [29-31,34,36,37], apps [33,37], and websites [32,35,36]. Of them, 3 studies [29,30,37] used peer support therapy, 5 studies [32-36] used cognitive behavioral therapy and behavioral activation therapy, and 1 study [31] used interpersonal therapy. The follow-up period of these 9 studies [29-37] ranged from 4 weeks to 36 weeks after completion of telehealth interventions. Characteristics of the 9 studies included are presented in Multimedia Appendix 1.

    Risk of Bias

    We summarized the findings for risk of bias in Figure 2 and Multimedia Appendix 2. Among the 9 RCTs [29-37], 5 studies [30-33,37] used a computer-generated random sequence, 1 study [34] used a random number table, 2 studies [35,36] used a minimization algorithm including a stochastic element, and 1 study [29] only mentioned the word “random,” with no details of the randomization method used. Allocation concealment was done in 5 studies [29,34-37]. Furthermore, 1 study [37] implemented the blinding of participants and personnel and outcome assessment, 4 studies [32,33,35,36] were unclear about the blinding of outcome assessment, and 4 studies [30,31,33,34] had high risk of bias on implementing the blinding of participants and personnel. All 9 studies included had low risk of bias on incomplete outcome data, selective reporting, or other bias.

    ‎
    Figure 2. Risk of bias graph.
    View this figure

    Meta-Analysis

    Depressive Symptoms in the Telehealth Group and the Control Group

    The 9 included studies [29-37] assessed the effectiveness of telehealth interventions on depressive symptoms among 1958 women by comparing the telehealth group and the control group. Depressive symptoms were all measured using EPDS. Considerable heterogeneity among studies was detected (I2>50%); thus, a randomized model was used. The overall pooled analysis demonstrated that total EPDS scores of women with PPD who received telehealth interventions were significantly lower than the control group (MD=–2.99, 95% CI –4.52 to –1.46; P<.001; I2=93%; Figure 3).

    ‎
    Figure 3. Depressive symptom scores in the telehealth group and the control group.
    View this figure
    Social Support in the Telehealth Group and the Control Group

    A total of 2 studies [36,37] reported social support improvement after interventions by the Perceived Social Support for Parenting instrument [37] and the Social Provision Scale [36]. The efficacy of telehealth was evaluated among 101 women by comparing the telehealth and control groups. There was no statistically significant difference between the two groups (SMD=–0.21, 95% CI –0.40 to 0.82; P=.50, I2=59%; Figure 4).

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    Figure 4. Social support scores in the telehealth group and the control group.
    View this figure
    Loneliness in the Telehealth Group and the Control Group

    A total of 2 studies [30,37] reported loneliness scores after interventions using the University of California, Los Angeles Loneliness Scale. The efficacy of telehealth was evaluated among 721 participants by comparing the telehealth and control groups. Meta-analysis showed no statistically significant difference between the two groups (MD=–1.82, 95% CI –4.60 to 0.95; P=.20, I2 = 83%; Figure 5).

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    Figure 5. Loneliness scores in the telehealth group and the control group.
    View this figure
    Anxiety in the Telehealth Group and the Control Group

    A total of 5 studies [30-32,36,37] presented anxiety symptoms after interventions. Anxiety symptoms were measured through the State-Trait Anxiety Inventory [30,31,37], the Hospital Anxiety and Depression Scale [32], and the Generalized Anxiety Disorder 7-item scale [36]. Scores of anxiety symptoms in the telehealth group were lower than in the control group (SMD=–0.39, 95% CI –0.67 to –0.12; P=.005; I2=76%; Figure 6).

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    Figure 6. Anxiety symptom scores in the telehealth group and the control group.
    View this figure

    Sensitivity and Subgroup Analysis

    In relation to the primary outcome (ie, depressive symptoms improvement), the pooled estimates were consistent when excluding one study at a time, indicating that the meta-analysis results of this study were stable and reliable. A series of subgroup analyses were performed to uncover more information about the heterogeneity (as shown in Table 1). Subgroup analyses were performed according to the severity of PPD, telehealth technology, specific therapy, and follow-up time. However, considerable heterogeneity (I2≥71%) existed in each subgroup analysis.

    Table 1. Subgroup analyses of the effect of telehealth interventions on depressive symptoms.
    Subgroup analysesNumber of randomized controlled trialsMean difference (95% CI)Z statisticP valueI2, %
    Severity of postpartum depression<.001

    		EPDSa scores ≥93 [29,30,37]–1.64 (–2.20 to –1.08)5.76<.00171

    		 EPDS scores ≥102 [32,34]–0.94 (–1.78 to –0.10)2.2.0381

    		EPDS scores ≥124 [31,33,35,36]–5.27 (–5.95 to –4.60)15.29<.00184
    Telehealth technology<.001

    		Telephone6 [29-31,34,36,37]–2.18 (–2.64 to –1.72)9.26<.00184

    		App2 [33,37]–4.02 (–4.67 to –3.36)12.03<.00198

    		Website3 [32,35,36]–1.62 (–2.47 to –0.78)3.76<.00187
    Specific therapy<.001

    		Peer support3 [29,30,37]–1.64 (–2.20 to –1.08)5.76<.00171

    		Interpersonal psychotherapy1 [31]–5.13 (–6.44 to –3.82)7.7<.001N/Ab

    		Cognitive behavioral therapy3 [32-34]–3.25 (–3.91 to –2.60)9.73<.00197

    		Behavioral activation therapy2 [35,36]–3.30 (–4.50 to –2.10)5.4<.0010
    Follow-up time(weeks)<.001

    		42 [29,37]–1.21 (–1.93 to –0.49)3.3.00173

    		61 [34]–1.90 (–3.08 to –0.72)3.16.002N/A

    		83 [29,32,33]–3.86 (–4.64 to –3.07)9.6<.00199

    		123 [30,31,37]–2.12 (–2.65 to –1.60)7.92<.00193

    		151 [35]–3.34 (–4.75 to –1.93)4.65<.001N/A

    		171 [36]–3.21 (–5.50 to –0.92)2.74.006N/A

    		243 [30,31,34]–1.58 (–2.14 to –1.03)5.55<.00194

    		361 [31]–3.34 (–4.75 to –1.93)4.65<.001N/A

    aEPDS: Edinburgh Postnatal Depression Scale.

    bN/A: not applicable.


    Overview

    Our systematic review summarized the effectiveness of telehealth interventions on PPD and associated maternal mental health problems in the postpartum period (defined as ≤12 months after childbirth). We found that telehealth interventions could significantly improve depression and anxiety symptoms, although their effectiveness in improving social support and reducing loneliness was less certain.

    Effectiveness of Telehealth Interventions on Postpartum Depression

    In this study, we demonstrated that maternal depression scores were significantly lower in the telehealth group compared to the control group. Previous studies [30,34,38] were inconsistent regarding whether telehealth could improve maternal depression in the long term. One study [38] reported that the EPDS scores of women in the telehealth group increased at 24 weeks after interventions. Another study [30] discovered no significant difference in EPDS scores at 24 weeks after interventions between the two groups. However, one study [34] reported that EPDS scores at 24 weeks after interventions were significantly lower in the telehealth group. The synthesized result of this systematic review suggested that telehealth was effective in reducing EPDS scores at 24 weeks after the interventions, which was consistent with an earlier systematic review [39] comprised of 7 RCTs with a total of 1106 participants.

    Effectiveness of Telehealth Interventions on Social Support, Loneliness, and Anxiety

    In this study, we also summarized the effectiveness of telehealth interventions on mental health issues associated with PPD including social support, loneliness, and anxiety. However, telehealth interventions were not significantly effective at improving social support and loneliness in women affected by PPD. This may be related to the use of different assessment tools and the small number of included studies in the literature reporting on these outcomes. In an internet-based peer therapy project in Singapore [37], the authors found that the degree of loneliness in depressed women was reduced while social support was increased after an online peer support intervention that used telephones and apps. On the other hand, the symptoms of anxiety were significantly reduced in the telehealth group, updating the results in the study which found no evidence on the effectiveness of telehealth for anxiety [40]. Coexistence of PPD and anxiety was common [41] and was mainly related to negative life events experienced by mothers with inadequate social support and increased childcare burden [42]. Results of this systematic review suggested that the potential for telehealth to improve mental health care for either PPD or anxiety is being increasingly recognized by affected women and health care providers [43]. Many women have already used publicly available online apps to access informational support, to consult a team of specialists, or to seek and find resources to alleviate PPD and anxiety [44].

    Strengths and Limitations

    This review has multiple strengths. The results of subgroup and sensitivity analyses suggested the findings are robust. More than half of the included trials were of high quality, with a relatively high degree of evidence that telehealth interventions could be effective in PPD treatment. Furthermore, the studies included were conducted in both developed and developing countries, expanding generalizability. Finally, this review analyzed not only the effectiveness of telehealth interventions on PPD, but also on social support, loneliness, and anxiety.

    However, there are several limitations in this review. First, there could be selection bias in the original studies as most women participated in the studies on a voluntary basis and were recruited online. Second, most of the included studies relied on self-report measure scales at either recruitment or follow-up, which may lead to inflated estimates of effect sizes. Third, the findings of this meta-analysis were limited by major heterogeneity. There was methodological heterogeneity among the studies included in terms of the severity of PPD, telehealth technology, specific therapy, and follow-up time. In addition, the secondary outcomes in the 9 RCTs included were assessed using different scales.

    Implications for Practice

    Through telehealth services, women could have access to the relevant knowledge of psychological interventions anytime and anywhere. The anonymity of chat rooms in telehealth services could help protect women’s privacy, providing a new treatment option for women who do not want to receive a face-to-face treatment due to social stigma.

    Implications for Future Research

    This review highlights some directions for future research, including increasing research attention on antenatal and peripartum depression and determining the applicability of telehealth interventions for adolescent mothers who may be more comfortable with novel technologies. Consideration of an intervention including the mother’s partner may be an important approach in future research, especially in cases where triggering events (such as adverse infant outcomes, major negative life events) may affect both the woman and her partner. Future studies should also aim to enhance methodological quality through consistent design and execution on such aspects of the study including telehealth technology, follow-up time, and severity of PPD.

    Conclusion

    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.

    Acknowledgments

    This work has been partly supported by the Canadian Institute of Health Research (FDN-148438), Clinical Research Startup Program of Southern Medical University by High-level University Construction Funding of Guangdong Provincial Department of Education (LC2019ZD019), The Seventh Affiliated Hospital, Southern Medical University (YNKT201802), and Key Project of Nursing Scientific Research Plan of Southern Medical University (Z2019001).

    Conflicts of Interest

    None declared.

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    Multimedia Appendix 1

    Characteristics of the 9 included randomized controlled trials.

    DOCX File , 21 KB
    ‎
    Multimedia Appendix 2

    Risk of bias chart.

    DOCX File , 21 KB
    1. Shorey S, Chee CYI, Ng ED, Chan YH, Tam WWS, Chong YS. Prevalence and incidence of postpartum depression among healthy mothers: A systematic review and meta-analysis. J Psychiatr Res 2018 Sep;104:235-248. [CrossRef] [Medline]
    2. Norhayati M, Hazlina NHN, Asrenee A, Emilin WMAW. Magnitude and risk factors for postpartum symptoms: a literature review. J Affect Disord 2015 Apr 01;175:34-52 [FREE Full text] [CrossRef] [Medline]
    3. Netsi E, Pearson RM, Murray L, Cooper P, Craske MG, Stein A. Association of Persistent and Severe Postnatal Depression With Child Outcomes. JAMA Psychiatry 2018 Mar 01;75(3):247-253 [FREE Full text] [CrossRef] [Medline]
    4. Branquinho M, Rodriguez-Muñoz MF, Maia BR, Marques M, Matos M, Osma J, et al. Effectiveness of psychological interventions in the treatment of perinatal depression: A systematic review of systematic reviews and meta-analyses. J Affect Disord 2021 Aug 01;291:294-306 [FREE Full text] [CrossRef] [Medline]
    5. Stewart DE, Vigod SN. Postpartum Depression: Pathophysiology, Treatment, and Emerging Therapeutics. Annu Rev Med 2019 Jan 27;70:183-196. [CrossRef] [Medline]
    6. Cuomo A, Maina G, Neal SM, De Montis G, Rosso G, Scheggi S, et al. Using sertraline in postpartum and breastfeeding: balancing risks and benefits. Expert Opin Drug Saf 2018 Jul;17(7):719-725. [CrossRef] [Medline]
    7. Guille C, Newman R, Fryml LD, Lifton CK, Epperson CN. Management of postpartum depression. J Midwifery Womens Health 2013;58(6):643-653 [FREE Full text] [CrossRef] [Medline]
    8. Prevatt B, Lowder EM, Desmarais SL. Peer-support intervention for postpartum depression: Participant satisfaction and program effectiveness. Midwifery 2018 Sep;64:38-47. [CrossRef] [Medline]
    9. Bina R, Barak A, Posmontier B, Glasser S, Cinamon T. Social workers' perceptions of barriers to interpersonal therapy implementation for treating postpartum depression in a primary care setting in Israel. Health Soc Care Community 2018 Jan;26(1):e75-e84. [CrossRef] [Medline]
    10. Li Z, Liu Y, Wang J, Liu J, Zhang C, Liu Y. Effectiveness of cognitive behavioural therapy for perinatal depression: A systematic review and meta-analysis. J Clin Nurs 2020 Sep;29(17-18):3170-3182. [CrossRef] [Medline]
    11. Guo L, Zhang J, Mu L, Ye Z. Preventing Postpartum Depression With Mindful Self-Compassion Intervention: A Randomized Control Study. J Nerv Ment Dis 2020 Feb;208(2):101-107. [CrossRef] [Medline]
    12. Cacciola E, Psouni E. Insecure Attachment and Other Help-Seeking Barriers among Women Depressed Postpartum. Int J Environ Res Public Health 2020 May 30;17(11):3887 [FREE Full text] [CrossRef] [Medline]
    13. Badowski ME, Walker S, Bacchus S, Bartlett S, Chan J, Cochran KA, et al. Providing Comprehensive Medication Management in Telehealth. Pharmacotherapy 2018 Feb;38(2):e7-e16. [CrossRef] [Medline]
    14. Speyer R, Denman D, Wilkes-Gillan S, Chen Y, Bogaardt H, Kim J, et al. Effects of telehealth by allied health professionals and nurses in rural and remote areas: A systematic review and meta-analysis. J Rehabil Med 2018 Feb 28;50(3):225-235 [FREE Full text] [CrossRef] [Medline]
    15. So CF, Chung JW. Telehealth for diabetes self-management in primary healthcare: A systematic review and meta-analysis. J Telemed Telecare 2018 Jun;24(5):356-364. [CrossRef] [Medline]
    16. Selzler A, Wald J, Sedeno M, Jourdain T, Janaudis-Ferreira T, Goldstein R, et al. Telehealth pulmonary rehabilitation: A review of the literature and an example of a nationwide initiative to improve the accessibility of pulmonary rehabilitation. Chron Respir Dis 2018 Feb;15(1):41-47 [FREE Full text] [CrossRef] [Medline]
    17. Steindal SA, Nes AAG, Godskesen TE, Dihle A, Lind S, Winger A, et al. Patients' Experiences of Telehealth in Palliative Home Care: Scoping Review. J Med Internet Res 2020 May 05;22(5):e16218 [FREE Full text] [CrossRef] [Medline]
    18. Brown HL, DeNicola N. Telehealth in Maternity Care. Obstet Gynecol Clin North Am 2020 Sep;47(3):497-502. [CrossRef] [Medline]
    19. Magann EF, Bronstein J, McKelvey SS, Wendel P, Smith DM, Lowery CL. Evolving trends in maternal fetal medicine referrals in a rural state using telemedicine. Arch Gynecol Obstet 2012 Dec;286(6):1383-1392 [FREE Full text] [CrossRef] [Medline]
    20. Brearly TW, Shura RD, Martindale SL, Lazowski RA, Luxton DD, Shenal BV, et al. Neuropsychological Test Administration by Videoconference: A Systematic Review and Meta-Analysis. Neuropsychol Rev 2017 Jun;27(2):174-186. [CrossRef] [Medline]
    21. Cheng PGF, Ramos RM, Bitsch JA, Jonas SM, Ix T, See PLQ, et al. Psychologist in a Pocket: Lexicon Development and Content Validation of a Mobile-Based App for Depression Screening. JMIR mHealth uHealth 2016 Jul 20;4(3):e88 [FREE Full text] [CrossRef] [Medline]
    22. Spitzer RL, Kroenke K, Williams JB. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. JAMA 1999 Nov 10;282(18):1737-1744. [CrossRef] [Medline]
    23. Beck AT, Steer RA, Brown GK. Manual for the Beck Depression Inventory-II. San Antonio: Psychological Corporation; 1996.
    24. Beck CT, Gable RK. Postpartum Depression Screening Scale: development and psychometric testing. Nurs Res 2000;49(5):272-282. [CrossRef] [Medline]
    25. Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry 1987 Jun;150:782-786. [CrossRef] [Medline]
    26. Lee DT, Yip SK, Chiu HF, Leung TY, Chan KP, Chau IO, et al. Detecting postnatal depression in Chinese women. Validation of the Chinese version of the Edinburgh Postnatal Depression Scale. Br J Psychiatry 1998 May;172:433-437. [CrossRef] [Medline]
    27. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JPA, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ 2009 Jul 21;339:b2700 [FREE Full text] [CrossRef] [Medline]
    28. Higgins J, Thomas J, Chandler J, Cumpston M, Li T, Page M. Cochrane Handbook for Systematic Reviews of Interventions, version 6.2.: Cochrane; 2021.   URL: http://www.training.cochrane.org/handbook [accessed 2021-08-30]
    29. Dennis C. The effect of peer support on postpartum depression: a pilot randomized controlled trial. Can J Psychiatry 2003 Mar;48(2):115-124. [CrossRef] [Medline]
    30. Dennis C, Hodnett E, Kenton L, Weston J, Zupancic J, Stewart DE, et al. Effect of peer support on prevention of postnatal depression among high risk women: multisite randomised controlled trial. BMJ 2009 Jan 15;338:a3064 [FREE Full text] [CrossRef] [Medline]
    31. Dennis C, Grigoriadis S, Zupancic J, Kiss A, Ravitz P. Telephone-based nurse-delivered interpersonal psychotherapy for postpartum depression: nationwide randomised controlled trial. Br J Psychiatry 2020 Apr;216(4):189-196. [CrossRef] [Medline]
    32. Fonseca A, Alves S, Monteiro F, Gorayeb R, Canavarro MC. Be a Mom, a Web-Based Intervention to Prevent Postpartum Depression: Results From a Pilot Randomized Controlled Trial. Behav Ther 2020 Jul;51(4):616-633. [CrossRef] [Medline]
    33. Jannati N, Mazhari S, Ahmadian L, Mirzaee M. Effectiveness of an app-based cognitive behavioral therapy program for postpartum depression in primary care: A randomized controlled trial. Int J Med Inform 2020 Sep;141:104145. [CrossRef] [Medline]
    34. Ngai F, Wong PW, Leung K, Chau P, Chung K. The Effect of Telephone-Based Cognitive-Behavioral Therapy on Postnatal Depression: A Randomized Controlled Trial. Psychother Psychosom 2015;84(5):294-303. [CrossRef] [Medline]
    35. O'Mahen HA, Woodford J, McGinley J, Warren FC, Richards DA, Lynch TR, et al. Internet-based behavioral activation--treatment for postnatal depression (Netmums): a randomized controlled trial. J Affect Disord 2013 Sep 25;150(3):814-822. [CrossRef] [Medline]
    36. O'Mahen HA, Richards DA, Woodford J, Wilkinson E, McGinley J, Taylor RS, et al. Netmums: a phase II randomized controlled trial of a guided Internet behavioural activation treatment for postpartum depression. Psychol Med 2014 Jun;44(8):1675-1689 [FREE Full text] [CrossRef] [Medline]
    37. Shorey S, Chee CYI, Ng ED, Lau Y, Dennis C, Chan YH. Evaluation of a Technology-Based Peer-Support Intervention Program for Preventing Postnatal Depression (Part 1): Randomized Controlled Trial. J Med Internet Res 2019 Aug 29;21(8):e12410 [FREE Full text] [CrossRef] [Medline]
    38. Jiao N, Zhu L, Chong YS, Chan WS, Luo N, Wang W, et al. Web-based versus home-based postnatal psychoeducational interventions for first-time mothers: A randomised controlled trial. Int J Nurs Stud 2019 Nov;99:103385. [CrossRef] [Medline]
    39. Hanach N, de Vries N, Radwan H, Bissani N. The effectiveness of telemedicine interventions, delivered exclusively during the postnatal period, on postpartum depression in mothers without history or existing mental disorders: A systematic review and meta-analysis. Midwifery 2021 Mar;94:102906 [FREE Full text] [CrossRef] [Medline]
    40. Massoudi B, Holvast F, Bockting CLH, Burger H, Blanker MH. The effectiveness and cost-effectiveness of e-health interventions for depression and anxiety in primary care: A systematic review and meta-analysis. J Affect Disord 2019 Feb 15;245:728-743. [CrossRef] [Medline]
    41. Lee EW, Denison FC, Hor K, Reynolds RM. Web-based interventions for prevention and treatment of perinatal mood disorders: a systematic review. BMC Pregnancy Childbirth 2016;16:38 [FREE Full text] [CrossRef] [Medline]
    42. Dol J, Richardson B, Grant A, Aston M, McMillan D, Tomblin Murphy G, et al. Influence of parity and infant age on maternal self-efficacy, social support, postpartum anxiety, and postpartum depression in the first six months in the Maritime Provinces, Canada. Birth 2021 Sep;48(3):438-447. [CrossRef] [Medline]
    43. Hussain-Shamsy N, Shah A, Vigod SN, Zaheer J, Seto E. Mobile Health for Perinatal Depression and Anxiety: Scoping Review. J Med Internet Res 2020 Apr 13;22(4):e17011 [FREE Full text] [CrossRef] [Medline]
    44. Doherty K, Barry M, Marcano-Belisario J, Arnaud B, Morrison C, Car J, et al. A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design Study. JMIR Ment Health 2018 Nov 27;5(4):e10007 [FREE Full text] [CrossRef] [Medline]

    ‎
    EPDS: Edinburgh Postnatal Depression Scale
    MD: mean difference
    PPD: postpartum depression
    PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-analysis
    PROSPERO: International Prospective Register of Systematic Reviews
    RCT: randomized controlled trial
    SMD: standardized mean difference

    Edited by G Eysenbach; submitted 01.08.21; peer-reviewed by M Ahmed Kamal; comments to author 29.08.21; revised version received 05.09.21; accepted 17.09.21; published 07.10.21

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    ©Liuhong Zhao, Jingfen Chen, Liuying Lan, Ni Deng, Yan Liao, Liqun Yue, Innie Chen, Shi Wu Wen, Ri-hua Xie. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 07.10.2021.

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