Skip to main content

Web-based treatment for depression in pregnancy: a feasibility study of Mum2BMoodBooster

Abstract

Background

Depression in pregnancy is prevalent, under-treated, and has serious impacts on the wellbeing of women and on child development. Internet programs can reach women who may not access traditional treatments due to distance, stigma or concern about taking medication. We adapted our online postnatal depression program, MumMoodBooster, for antenatal use. We aimed to trial feasibility, acceptability, and potential efficacy of the new Mum2BMoodBooster intervention with depressed pregnant women.

Methods

Twenty-seven pregnant women with Edinburgh Postnatal Depression Scale score > 11 used the program in a feasibility trial. Twenty-one had current diagnoses of major or minor depression on the Structured Clinical Interview for the DSM-IV. Assessment of symptoms occurred at screening/baseline, post-test (8 weeks post-enrollment), and at follow-up (3 months postpartum) using the Patient Health Questionnaire (PHQ-9) and the Depression Anxiety Stress Scales (DASS-21).

Results

In this feasibility trial, depression scores on both the PHQ-9 and the DASS-21, showed significant reductions representing large effects, with average symptom scores reduced by > 50%, and maintained in the ‘minimal or no depression’ range at 3 month follow-up. Anxiety scores also decreased significantly. Program usage was high with 74% of women visiting all six sessions. Program acceptability ratings were moderate to high.

Conclusions

Findings paralleled the magnitude of symptom reductions seen in randomised trials of the postnatal MumMoodBooster program, suggesting that Mum2BMoodBooster is an effective treatment for depressed pregnant women. Effective internet therapies are likely to become increasingly important as the COVID-19 pandemic continues to make face-to-face access to health care problematic during ‘lockdowns’.

Peer Review reports

Introduction

Depression during pregnancy (antenatal depression) is common [1]. A review of studies in 14 developed countries reported a pooled prevalence of 17% [2], which is broadly consistent with previous meta-analyses based on diagnostic criteria [3] and recent cross-sectional studies [4]. Antenatal depression is also a significant risk factor for postnatal depression [5].

In addition, children born to mothers who experienced antenatal depression are more likely to have behavioural and emotional problems. This includes an increased risk of anxiety and attention deficit/hyperactivity in childhood [6,7,8,9,10], and increased risk of depression [11] and anxiety disorders [12]. Negative effects, of sizes that are clinically important, have been found to endure at least to adolescence [11, 12].

A range of treatment approaches are effective for perinatal depression. Systematic reviews by Dennis and Hodnett, and by Cuijpers and colleagues [13, 14] broadly confirm the efficacy of pharmacotherapy, cognitive behavioural therapy (CBT), counselling, and interpersonal psychotherapy [13, 14].

Despite the availability of clinic-based treatments, fewer than 50% of depressed perinatal women are identified and even fewer seek help [15]. Internet-based interventions have potential to overcome many barriers to help-seeking by providing privacy, anonymity and ready access from home. Internet-based interventions for perinatal mental health difficulties (e.g., [16,17,18]) have been shown in meta-analyses to achieve medium-sized effects in reducing depressive symptoms [19, 20]. However, there are very few published studies that have examined internet-based cognitive behavioural therapy (CBT) interventions, specifically for diagnosed antenatal depression [21].

We previously developed a six-session online CBT program for women with postnatal depression, MumMoodBooster [22], based on Milgrom’s Getting Ahead of Postnatal Depression program [23, 24]. The program, supported by weekly calls from a coach, was evaluated in a feasibility trial [25] and two randomised controlled trials (RCT) [16, 26].

In the first RCT, all women met the Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) criteria for major or minor depression at enrolment [16]. Following MumMoodBooster, 79% no longer met these criteria, compared to only 18% remission in the treatment as usual condition—a fourfold improvement in remission from a DSM-diagnosed depressive disorder. The second RCT found a similar pattern, and demonstrated an efficacy at least as good as specialised face-to-face CBT treatment [26].

Given the efficacy of the postnatal MumMoodBooster program, we adapted the core components for antenatal women. The aim of this study was to evaluate the new Mum2BMoodBooster program in a feasibility trial. It was hypothesised that the program would be well accepted, show similar adherence to the postnatal program and demonstrate improved mood ratings over time similar to those seen in RCTs of MumMoodBooster.

Methods

The research was approved by the Human Research Ethics Committee of Austin Health (approval number HREC/16/Austin/339). All participants provided written informed consent.

Adaptation of MumMoodBooster to Mum2BMoodBooster

The postnatal MumMoodBooster program comprises six interactive sessions that are sequentially accessed weekly, designed to parallel face-to-face treatment [22]. The sessions utilize cognitive-behavioural therapy techniques to target depression and comorbid anxiety, including mood monitoring, relaxation training, behavioural activation, and strategies for managing cognitive distortions associated with depression and anxiety. Each session begins with a video introducing content. Sessions include text, animations, videos, tutorials, and case vignettes relevant to life in the postpartum period. Personalised content such as lists of pleasant activities and goals are created within the program. Self-monitoring tools, such as daily mood and activity tracking, are depicted in charts. Homework activities are to be completed between sessions. Users have access to library articles on topics including stress management, problem solving, parenting support etc., as well as a partner support website that mothers can invite their partner to access. Low intensity (< 30 min) telephone coaching once a week encourages participants to use the program.

The content of the MumMoodBooster program was modified to be relevant for an antenatal population. Session welcome videos and several video vignettes were edited to remove postnatal-specific content and five new antenatal vignettes were recorded. Text was changed to be specifically relevant to antenatal women, and images of antenatal women replaced postnatal images. Library articles were edited, with new content developed relevant to depression, lifestyle and pregnancy. The voiceover for animations was replaced with antenatal scenarios. Content of many practice change activities and examples were changed to reflect the concerns of antenatal women. The partner support website was edited to be antenatal-focused. No changes were made to the core CBT components and the structure of the program itself. The low intensity telephone coaching component was retained as it was a strongly endorsed feature of the postnatal program. Rather than providing therapy per se, the support provided by the telephone coach is intended to encourage women to use the program, monitor progress, reinforce gains and answer questions [16, 25, 26].

Feasibility Trial

Participants

The study was advertised via flyers in practices of health professionals (e.g., General Practitioners), social media posts, and an advertisement on the Ovia Pregnancy smartphone application, which offers educational content for pregnant women [27]. All women completed the Edinburgh Postnatal Depression Scale (EPDS: [15]) and were included in the study if they satisfied eligibility criteria.

Inclusion Criteria: pregnant and an EPDS score of 11–22 (inclusive).

Exclusion criteria: living outside Australia, < 18 years old, current diagnosis of substance abuse, bipolar disorder, post-traumatic stress disorder (PTSD) or depression with psychotic features meeting DSM-IV criteria [28]; moderate to high risk of suicide; current depression treatment (psychotherapy or antidepressant treatment).

A sample size of 26, based on replicating the large effect sizes found in the postnatal version of this program, provided sufficient power (0.80) to detect large effect sizes at α = 0.05 [29].

Measures

SCID-IV: The Structured Clinical Interview for DSM-IV (SCID-IV) was conducted by psychologists over the phone to assess eligibility [28]. The SCID-IV was purchased for use by the Parent-Infant Research Institute.

PHQ-9: The Patient Health Questionnaire (PHQ-9: [30], is a measure of depressive symptoms within the last 2 weeks and has been validated for use in antenatal populations [31], was delivered by telephone at baseline, week 3, week 5, week 8 and 3 months postpartum to monitor participant safety and measure symptom change. The PHQ-9 is in the public domain and no permission was required for use.

DASS-21: Depression, anxiety, and stress symptom severity was measured by the 21-item Depression Anxiety Stress Scales: DASS-21 [32] as part of the baseline, week 8 and 3 months postpartum online questionnaires, sent in a link via SMS to participants’ mobile phones. The DASS has been validated for use in antenatal populations [33]. The DASS-21 is in the public domain and no permission was required for use.

Program acceptability

Features of the online program and coach calls were rated on 4-point Likert scales from ‘not at all helpful/satisfied’ to ‘very helpful/satisfied’ as part of the week 8 questionnaire.

Procedure

Prospective participants expressed interest online, and then completed the telephone assessment to determine eligibility and complete their baseline PHQ-9. If eligibility criteria were met and consent forms returned, they were then sent a link via SMS to a Google Form containing the baseline (pre-intervention) questionnaires, which included the DASS-21. After completing baseline questionnaires, participants were reimbursed $30 for their time and enrolled as a user. They received a ‘welcome call’ from a coach to encourage them to begin using the program and to schedule their first coach call one week later.

Participants worked through the Mum2BMoodBooster program and received weekly phone calls from a coach (psychologist or provisional psychologist). During these low-intensity telephone support calls (maximum 30 min per week), coaches reinforced progress made, encouraged use of the program and the practice of strategies, and introduced upcoming sessions. Coaches had access to each participant’s program usage via an administrative website in order to tailor their support. Coaches followed session guides during their calls. There were eight coaches in the study and one personal coach was allocated per participant. However, a small number of participants (n = 4) received calls from more than one coach due to staff leave.

Participants received questionnaires via a link in an SMS to a Google Form in week 8 and 3 months postpartum. Participants were reimbursed AUS$20 for completion of each follow-up questionnaire.

Statistical Analysis

Missing data were not included in analysis; all results are from observed-case analyses. Changes in mental health outcome scores were analysed by paired t-tests. This was the approach used in the feasibility trial of our postnatal MumMoodBooster and the same procedure was used here so that effect sizes would be directly comparable with that trial. As difference scores between time-points were required for the subsequent calculation of t-tests, only cases with data at both time-points (baseline and week 8, or baseline and 3 months postpartum) were used. Visual inspection Q-Q plots, Kolmogorov–Smirnov and Shapiro-Wilks tests were used to assess normality.

Results

Sample demographics

Of 1149 women who clicked on the study advertisement, 269 continued to the study website and completed online screening. Based on initial responses, 105 were considered for intake. Of these, 19 were ineligible (due to miscarriage/ectopic pregnancy: n = 5; high suicide risk: n = 2; PTSD: n = 7; complex psychological history: n = 1; or currently receiving treatment: n = 4), 22 declined at intake, and 37 could not be contacted for intake. The final sample included 27 women (one more than target sample size). At online screening, EPDS scores ranged between 11 and 22 (M = 16, ± 3.12). Table 1 shows participants’ SCID-IV diagnoses.

Table 1 Diagnostic Status of Feasibility Trial Participants at Baseline

At enrollment, participants ranged in age from 23–38 years (M = 32.19, ± 3.23), and were between 6 and 35 weeks pregnant, with 26% (7/27) in trimester one, 55.5% (15/27) in trimester two and 18.5% (5/27) in trimester three. Fifteen were pregnant with their first child, ten with their second, one with their third, and one with their fourth. Most women were from metropolitan and urban areas of Australian states and territories, with only one woman living in a rural area. Table 2 shows further demographics of the sample.

Table 2 Baseline Demographics of Participants in Feasibility Trial

Treatment adherence and program usage.

On average, participants visited 5.33 (± 1.39) Mum2BMoodBooster sessions out of 6. Figure 1 shows the majority (74%) visited all 6 sessions. Seventy percent (n = 19) also participated in all 6 coach calls, with the majority completing their sixth coach call within 7 weeks of commencing the program (range = 6–15 weeks). One participant delivered her baby prior to the post-treatment time point, and engaged with the program over 15 weeks. On average, participants spent 220 (± 118) minutes in the program, across an average of 13.70 (± 7.14) individual visits, averaging 16.84 (± 6.53) minutes per visit.

Fig. 1
figure 1

Number of Mum2BMoodBooster sessions completed

The average number of distinct activities visited (out of 63) was 16.44 (± 9.01) and the average number of distinct library articles read (out of 9) was 2.30 (± 2.02). Table 3 details the popularity of each library article. Partners of approximately half of the participants accessed the partner support website (13/27).

Table 3 Library article and times accessed

Mental health outcomes

Tables 4 and 5 show baseline, week 8, and 3 month postpartum scores for the DASS-21 and the PHQ-9.

Table 4 Pre-intervention, week 8, and difference scores
Table 5 Pre-intervention, 3-months post-partum, and difference scores

Paired-samples t-tests showed a significant decrease between baseline and week 8 for DASS-21 depression scores, t(18) = 5.38, p < 0.0001, and for PHQ-9 scores, t(15) = 6.83, p < 0.0001, but not for anxiety, t(18) = 1.99, p = 0.06, and stress, t(18) = 0.94, p = 0.36. At three months postpartum, a significant decrease from baseline was found for DASS-21 depression scores, t(22) = 6.28, p < 0.0001, and for PHQ-9 scores, t(20) = 7.07, p < 0.0001. A significant decrease was also found for DASS-21 anxiety scores, t(22) = 3.15, p = 0.005, but not for stress, t(22) = 1.67, p = 0.11.

Figure 2 shows the reduction of average PHQ-9 scores across the five time-points: baseline, week 3, week 5, week 8 and 3 months post birth. By week 3 the average PHQ-9 score had dropped from the moderately depressed range [10,11,12,13,14] to the mildly depressed range [5,6,7,8,9] and this was maintained at week 5 and week 8. Of the women who completed the week 8 PHQ-9, 75% were in their second trimester and 25% were in their third. By 3 months postpartum, the average PHQ-9 score dropped into the lowest range, minimal or no depression (0–4).

Fig. 2
figure 2

Mean PHQ-9 scores of feasibility trial participants across time (± 1SD)

Program acceptability

Table 6 shows the participants’ ratings of program features.

Table 6 Program acceptability (4-point Likert-type scale)

Discussion

This study aimed to assess the acceptability and efficacy of the Mum2BMoodBooster program, designed for pregnant depressed women, in a feasibility study with 27 women. The majority of women had a DSM-IV diagnosis of major depression (n = 18), a number presented with minor depression or other diagnoses, and only one woman had no diagnosis at baseline.

Post-intervention, women showed improvements in mood, as reflected by significant decreases in depression scores at week 8, which were maintained at 3-month follow-up on both the DASS-21 and PHQ-9. As in the RCT of our postnatal MumMoodBooster program [16], the average PHQ-9 score was reduced from the “moderately depressed” range at baseline to the “minimal or no” symptoms range. These results provide preliminary evidence for the program, and warrant further evaluation in an RCT. An easily available treatment for antenatal depression has the potential to benefit not only women, but also their children. Emerging evidence suggests that treatment of maternal mental health difficulties in pregnancy may have some beneficial impacts on early infant developmental markers [34].

The results also showed statistically significant decreases in anxiety (but not stress) as measured by the DASS-21. This was despite the relatively low level of baseline anxiety in the study sample, which averaged in the “normal” range (stress scores were in the “mild” range). Although RCTs of the postnatal program [16, 26] showed larger reductions in anxiety and stress than seen here, baseline levels of anxiety and stress were higher. Whilst anxiety levels in this study sample appeared mild, anxiety often accompanies perinatal depression, affecting 7.9% of antenatal women [35]. Wisner and colleagues [36] estimate that this represents almost two thirds of US women with depression.

Program usage was high with 74% of women visiting all six sessions and spending an average of 3.7 h in the program overall, across an average of 13.7 individual visits, only slightly lower than the postnatal version [25]. This slightly lower usage may not be entirely surprising—all but two of the women in our sample were working, which is commonplace for antenatal women in Australia, at an estimated 73% [37]. Indeed, two of the more popular library articles were ‘Managing Your Stress’ and ‘Managing Your Time’ with 10 and 8 out of 27 women reading them, respectively. Previous research indicates that stress is a common complaint for time-poor Australian mothers [38].

Interestingly, the most popular library articles were not only related to the mother’s own self-care (particularly stress management) and support, but also to the couple relationship with 11/27 participants opening the articles ‘You and Your Partner’ and ‘Communication Skills’. A similar number (13/27) accessed the partner support website. Changes to their relationship with their partner might be an important concern for antenatal women [39]. By contrast, fewer articles about caring for the baby were opened. This suggests that many women were focused more on immediate help for themselves and their relationship.

Overall, 87% of respondents at week 8 found the Mum2BMoodBooster program ‘moderately helpful’ and ‘very helpful’ with coach calls being the most endorsed feature, followed by strategies for reducing negative thinking and increasing positive thinking, pleasant activities, and mood tracking. This is in line with research demonstrating the importance of a coach in online therapies [40]. However, it also raises an important issue for implementing the intervention at scale. Although the coaching role could be delivered by professionals such as nurse practitioners, general practitioners and psychologists (a clinician portal has recently been added), even coaching of a low intensity nature will likely require greater resources than a purely self-guided program. It will therefore be important to balance these considerations in optimising future scale up. For example, women with more severe symptoms may benefit most from coaching support, while those with less severe symptoms may obtain a satisfactory treatment response with a self-guided format [41].

The components of the program with the lowest number of ‘moderately helpful’ or ‘very helpful’ ratings were the partner support website, library articles and videos, which are ancillary features to the core cognitive-behavioural content (negative and positive thinking, pleasant activities and mood tracking) in the program. These features could be further enhanced in future updates to the program.

Women who received coach calls for all six sessions took 6–15 weeks to complete the program. Feedback from coaches when calls were not completed as scheduled included: women reporting a lack of time to complete the online session, forgetting about their scheduled call and/or double booking their availability.

Possible limitations to interpretation of results include the nature of feasibility trials (no control group) and the heterogeneity of the sample. Although 21 women met the SCID-IV diagnostic criteria for major or minor depression, six women met criteria for other psychiatric diagnoses (e.g., substance dependency and abuse, manic episode). Thus, the program, which targets depression and anxiety, may have been insufficient for some participants. Moreover, with a feasibility study of this size, it is difficult to identify for whom the program may be most suitable. The design of future research studies might be configured explicitly to evaluate differences in outcomes for women with a current major depression diagnosis compared to those with other diagnoses with depressive features.

Stage of pregnancy also varied; at baseline women were between 6–35 weeks pregnant. Mood during pregnancy has been shown to differ across gestation with more negative affect being experienced in the first and third trimesters [42]. Also, as all participants in this feasibility trial received the treatment, there was no control group to compare the ‘active’ treatment to. At baseline, 44.5% of women were in their first or third trimesters. As low mood is commonly experienced during the first and third trimesters of pregnancy, it is possible that some of these women might have experienced fluctuation of mood over time in the absence of any treatment [42]. Despite these limitations, there was good participant retention at 3 months and the depression results, and to some extent the anxiety results, parallel those of the RCT of the postnatal MumMoodBooster program, which also had very little attrition at follow-up [16]. Future research might look at the possible differential effectiveness of the intervention relative to stage of pregnancy.

We aimed to collect a sample representative of the population likely to use this program; however, due to study exclusion criteria there was some homogeneity in sample demographic characteristics (the majority were partnered and in the same income bracket), and results of this small feasibility trial may not be wholly generalisable to the wider population from which participants were drawn.

Conclusion

In conclusion, in a feasibility trial of depressed pregnant women, the Mum2BMoodBooster program was found to be promising as an online CBT therapy for the alleviation of low mood in pregnancy, including those with a major depressive disorder. Outcomes were similar to those reported with the postnatal version of the program in RCTs, including good acceptability and adherence [16, 25, 26]. Like the postnatal version, this therapy was delivered in conjunction with weekly (approximately 30 min) supportive telephone calls from a coach. Future research may include an RCT of this program compared to usual practice, designed to evaluate whether effectiveness varies with the severity of depression diagnosis, and might address when in pregnancy it is best to intervene.

Finally, effective, accessible internet interventions for perinatal mental health difficulties are likely to be needed more than ever, Emerging evidence suggests that the advent of COVID-19 has led to a substantial increase in mental health difficulties among perinatal women [43]. At the same time, widespread mandatory restrictions on population movements have at times been enacted in an effort to curb the progress of the COVID-19 pandemic. This means that, in many jurisdictions, access to traditional face-to-face treatments may be curtailed or problematic and digital solutions to health care are increasingly relevant.

Availability of data and materials

The datasets used and analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

CBT:

Cognitive behavioural therapy

DASS-21:

Depression Anxiety Stress Scales

DSM-IV:

Diagnostic and Statistical Manual of Mental Disorders-IV

EPDS:

Edinburgh Postnatal Depression Scale

PHQ-9:

Patient Heath Questionnaire

PTSD:

Post-traumatic stress disorder

RCT:

Randomised controlled trial

SCID-IV:

Structured Clinical Interview for the DSM-IV

References

  1. Dadi AF, Miller ER, Bisetegn TA, Mwanri L. Global burden of antenatal depression and its association with adverse birth outcomes: an umbrella review. BMC Public Health. 2020;20(1):173.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Underwood L, Waldie K, D’Souza S, Peterson ER, Morton S. A review of longitudinal studies on antenatal and postnatal depression. Arch Womens Ment Health. 2016;19(5):711–20.

    Article  PubMed  Google Scholar 

  3. Gavin NI, Gaynes BN, Lohr KN, Meltzer-Brody S, Gartlehner G, Swinson T. Perinatal depression: a systematic review of prevalence and incidence. Obstet Gynecol. 2005;106(5 Pt 1):1071–83.

    Article  PubMed  Google Scholar 

  4. Faramarzi M, Kheirkhah F, Barat S, Cuijpers P, O’Connor E, Ghadimi R, et al. Prevalence and factors related to psychiatric symptoms in low risk pregnancy. Caspian J Intern Med. 2020;11(2):211–8 Epub 2020/06/09.

    PubMed  PubMed Central  Google Scholar 

  5. Milgrom J, Gemmill AW, Bilszta JL, Hayes B, Barnett B, Brooks J, et al. Antenatal risk factors for postnatal depression: a large prospective study. J Affect Disord. 2008;108:147–57.

    Article  PubMed  Google Scholar 

  6. Glover V. Prenatal stress and its effects on the fetus and the child: possible underlying biological mechanisms. Advances in neurobiology. 2015;10:269–83.

    Article  PubMed  Google Scholar 

  7. Glover V. Maternal depression, anxiety and stress during pregnancy and child outcome; what needs to be done. Best Pract Res Clin Obstet Gynaecol. 2014;28(1):25–35.

    Article  PubMed  Google Scholar 

  8. Herba CM, Glover V, Ramchandani PG, Rondon MB. Maternal depression and mental health in early childhood: an examination of underlying mechanisms in low-income and middle-income countries. Lancet Psychiatry. 2016;3(10):983–92.

    Article  PubMed  Google Scholar 

  9. Waters CS, Hay DF, Simmonds JR, van Goozen SHM. Antenatal depression and children’s developmental outcomes: potential mechanisms and treatment options. Eur Child Adolesc Psychiatry. 2014;23:957–71 Epub July 2014.

    Article  PubMed  Google Scholar 

  10. O’Connor TG, Heron J, Glover V, Alspac Study T. Antenatal anxiety predicts child behavioral/emotional problems independently of postnatal depression. J Am Acad Child Adolesc Psychiatry. 2002;41(12):1470–7.

    Article  Google Scholar 

  11. Pearson RM, Evans J, Kounali D, Lewis G, Heron J, Ramchandani PG, et al. Maternal Depression During Pregnancy and the Postnatal Period Risks and Possible Mechanisms for Offspring Depression at Age 18 Years. JAMA Psychiat. 2013;70(12):1312–9.

    Article  Google Scholar 

  12. Capron LE, Glover V, Pearson RM, Evans J, O’Connor TG, Stein A, et al. Associations of maternal and paternal antenatal mood with offspring anxiety disorder at age 18 years. J Affect Disord. 2015;187:20–6.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Dennis C-L, Hodnett ED. Psychosocial and psychological interventions for treating postpartum depression. Cochrane Database Syst Rev. 2007;(4). Art. No.: CD006116. https://doi.org/10.1002/14651858.CD006116.pub2.

  14. Cuijpers P, Brannmark JG, van Straten A. Psychological treatment of postpartum depression: a meta-analysis. J Clin Psychol. 2008;64(1):103–18.

    Article  PubMed  Google Scholar 

  15. Cox J, Holden J. A guide to the Edinburgh Postnatal Depression Scale (EPDS). London: Gaskell; 2003.

    Google Scholar 

  16. Milgrom J, Danaher B, Holt C, Holt CJ, Seeley J, Tyler MS, et al. Internet Cognitive Behavioural Therapy for Women with Postnatal Depression: a randomised controlled trial of MumMoodBooster. J Med Internet Res. 2016;18(3): e54.

    Article  PubMed  PubMed Central  Google Scholar 

  17. 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;150(3):814–22.

    Article  PubMed  Google Scholar 

  18. Pugh NE, Hadjistavropoulos HD, Dirkse D. A Randomised Controlled Trial of Therapist-Assisted, Internet-Delivered Cognitive Behavior Therapy for Women with Maternal Depression. PloS one. 2016;11(3):e0149186.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Ashford MT, Olander EK, Ayers S. Computer- or web-based interventions for perinatal mental health: A systematic review. J Affect Disord. 2016;197:134–46.

    Article  PubMed  Google Scholar 

  20. Lau Y, Htun TP, Wong SN, Tam WSW, Klainin-Yobas P. Therapist-Supported Internet-Based Cognitive Behavior Therapy for Stress, Anxiety, and Depressive Symptoms Among Postpartum Women: A Systematic Review and Meta-Analysis. J Med Internet Res. 2017;19(4):e138.

    Article  PubMed  PubMed Central  Google Scholar 

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

    Article  PubMed  Google Scholar 

  22. Danaher B, Milgrom J, Seeley JR, Stuart S, Schembri C, Tyler MS, et al. Web-based Intervention for Postpartum Depression: Formative Research and Design of the MumMoodBooster Program. JMIR Research Protocols. 2012;1(2): e18.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Milgrom J, Martin PR, Negri LM. Treating Postnatal Depression. A Psychological Approach for Health Care Practitioners. Chichester: Wiley; 1999.

    Google Scholar 

  24. Milgrom J, Negri LM, Gemmill AW, McNeil M, Martin PR. A randomized controlled trial of psychological interventions for postnatal depression. Br J Clin Psychol. 2005;44(4):529–42.

    Article  PubMed  Google Scholar 

  25. Danaher B, Milgrom J, Seeley J, Stuart S, Schembri C, Tyler M, et al. MumMoodBooster Web-Based Intervention for Postpartum Depression: Feasibility Trial Results. J Med Internet Res. 2013;15(11): e242.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Milgrom J, Danaher B, Seeley J, Holt C, Holt C, Ericksen J, et al. Internet and Face-to-Face Cognitive Behavioural Therapy for Postnatal Depression Compared to Treatment-As-Usual: A Randomised Controlled Trial of MumMoodBooster. J Med Internet Res. 2021;23(11).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Vignato J, Landau E, Duffecy J, O’Hara MW, Segre LS. Using mobile health applications for the rapid recruitment of perinatal women. Arch Womens Ment Health. 2019;22:305–8.

    Article  PubMed  Google Scholar 

  28. First MB, Spitzer RL, Gibbon M. Structured Clinical Interview for DSM-IV Axis I Disorders, Patient Edition (SCID-I/P, Version 2.0). Washington DC: American Psychiatric Press; 1996.

    Google Scholar 

  29. Cohen J. A power primer. Psychol Bull. 1992;112(1):155–9.

    Article  CAS  PubMed  Google Scholar 

  30. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Sidebottom AC, Harrison PA, Godecker A, Kim H. Validation of the Patient Health Questionnaire (PHQ)-9 for prenatal depression screening. Archives of Women’s Mental Health. 2012;15(5):367–74.

    Article  PubMed  Google Scholar 

  32. Lovibond SH, Lovibond PF. Manual for the Depression Anxiety Stress Scales. Sydney, Australia: Psychology Foundation; 1995.

    Google Scholar 

  33. Xavier S, Bento E, Azevedo J, Marques M, Soares MJ, Freitas V, Mota D, Macedo A, Pereira AT. Validation of the Depression, Anxiety and Stress Scale–DASS-21 in a community sample of Portuguese pregnant women. Eur Psychiatry. 2016;33:S239.

    Article  Google Scholar 

  34. Goodman SH, Cullum KA, Dimidjian S, River LM, Kim CY. Opening windows of opportunities: Evidence for interventions to prevent or treat depression in pregnant women being associated with changes in offspring’s developmental trajectories of psychopathology risk. Dev Psychopathol. 2018;30(3):1179–96.

    Article  PubMed  Google Scholar 

  35. Falah-Hassani K, Shiri R, Dennis CL. The prevalence of antenatal and postnatal co-morbid anxiety and depression: a meta-analysis. Psychol Med. 2017;47(12):2041–53.

    Article  CAS  PubMed  Google Scholar 

  36. Wisner KL, Sit DKY, McShea MC, Rizzo DM, Zoretich RA, Hughes CL, et al. Onset timing, thoughts of self-harm, and diagnoses in postpartum women with screen-positive depression findings. JAMA Psychiat. 2013;70(5):490–8.

    Article  Google Scholar 

  37. Australian Bureau of Statistics. Pregnancy and Employment Transistions. 2017.

    Google Scholar 

  38. Rose J. Never enough hours in the day: Employed mothers’ perceptions of time pressure. Australian Social Policy Association. 2017;52:116–30.

    Google Scholar 

  39. Figueiredo B, Conde A. First- and second-time parents’ couple relationship: from pregnancy to second year postpartum. Family Science. 2015;6(1):346–55.

    Article  Google Scholar 

  40. Mohr DC, Cuijpers P, Lehman K. Supportive accountability: a model for providing human support to enhance adherence to eHealth interventions. J Med Internet Res. 2011;13(1):e30.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Karyotaki E, Efthimiou O, Miguel C, et al. Internet-Based Cognitive Behavioral Therapy for Depression: A Systematic Review and Individual Patient Data Network Meta-analysis. JAMA Psychiat. 2021;78(4):361–71.

    Article  Google Scholar 

  42. Amiel Castro RT, Anderman CP, Glover V, O’Connor TG, Ehlert U, Kammerer M. Associated symptoms of depression: patterns of change during pregnancy. Archives of Womens Mental Health. 2017;20:123–8.

    Article  Google Scholar 

  43. Berthelot N, Lemieux R, Garon-Bissonnette J, Drouin-Maziade C, Martel É, Maziade M. Uptrend in distress and psychiatric symptomatology in pregnant women during the coronavirus disease 2019 pandemic. Acta Obstet Gynecol Scand. 2020;99(7):848–55 (Epub 2020/05/26).

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank all the mothers who took part in this research project, as well as their coaches, who offered them weekly support through the program, in particular Alana Greco, Holly Andrewes, Leigh Elliot, and Eliza Hartley. Thanks also to Christine Loft who assisted with post-birth follow ups. Programming adaptations were accomplished with assistance from Toan Tran at Tech4Research. We thank Ovia Health for enabling study recruitment messages on their pregnancy app. Cartoons displayed in the Mum2BMoodBooster library and Partner Support Program were drawn by Bev Aisbett.

Funding

The authors disclosed receipt of the following financial support for the conduct of this research: Our deepest thanks to the Ian Potter Foundation whose generous support [grant number 20161008] made this work possible. This research was initiated by the authors and the funding bodies had no input into the design of the study, collection, analysis, and interpretation of the data; all of these and writing of the manuscript were carried out by the authors. Ian Potter Foundation, 20161008, Jeannette Milgrom

Author information

Authors and Affiliations

Authors

Contributions

JM, AWG, CJH and JE contributed to the study design and funding application. JM, JE and CJH adapted MumMoodBooster to Mum2BMoodBooster. JM, AWG, JLO, CJH, and CH implemented the trial procedures and collected data. CH, JM and JE trained the phone coaches. JLO project managed the trial. JLO and AWG designed and executed the statistical analysis, with assistance from CH. JLO and AWG wrote the bulk of the first draft of the manuscript. All authors contributed to subsequent drafts, to the interpretation of results and all approved the final manuscript for submission. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Alan W. Gemmill.

Ethics declarations

Ethics approval and consent to participate

The research was approved by the Human Research Ethics Committee of Austin Health (approval number HREC/16/Austin/339). Written informed consent was obtained from all individual participants included in the study.

Consent for publication

Not applicable as the manuscript does not contain data from any individual person, only aggregate data has been reported.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gemmill, A.W., Oliva, J.L., Ericksen, J. et al. Web-based treatment for depression in pregnancy: a feasibility study of Mum2BMoodBooster. BMC Psychiatry 22, 476 (2022). https://doi.org/10.1186/s12888-022-04111-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12888-022-04111-x

Keywords