Published on in Vol 18, No 3 (2016): March

Internet Cognitive Behavioral Therapy for Women With Postnatal Depression: A Randomized Controlled Trial of MumMoodBooster

Internet Cognitive Behavioral Therapy for Women With Postnatal Depression: A Randomized Controlled Trial of MumMoodBooster

Internet Cognitive Behavioral Therapy for Women With Postnatal Depression: A Randomized Controlled Trial of MumMoodBooster

Original Paper

1Parent-Infant Research Institute, Melbourne, Australia

2University of Melbourne, Melbourne School of Psychological Sciences, Melbourne, Australia

3Austin Health, Department of Clinical and Health Psychology, Melbourne, Australia

4Oregon Research Institute, Eugene, OR, United States

Corresponding Author:

Alan W Gemmill, PhD

Parent-Infant Research Institute

Department of Clinical & Health Psychology, Heidelberg Repatriation Hospital Austin Health 330 Waterdale Road Heidelberg Heights

Melbourne, 3081


Phone: 61 03 9496 ext 4468

Fax:61 03 9496 4148


Background: There are few published controlled trials examining the efficacy of Internet-based treatment for postnatal depression (PND) and none that assess diagnostic status (clinical remission) as the primary outcome. This is despite the need to improve treatment uptake and accessibility because fewer than 50% of postnatally depressed women seek help, even when identified as depressed.

Objective: In a randomized controlled trial (RCT), we aimed to test the efficacy of a 6-session Internet intervention (the MumMoodBooster program, previously evaluated in a feasibility trial) in a sample of postnatal women with a clinical diagnosis of depression. The MumMoodBooster program is a cognitive behavioral therapy (CBT) intervention, is highly interactive, includes a partner website, and was supported by low-intensity telephone coaching.

Methods: This was a parallel 2-group RCT (N=43) comparing the Internet CBT treatment (n=21) to treatment as usual (n=22). At baseline and at 12 weeks after enrollment, women’s diagnostic status was assessed by telephone with the Standardized Clinical Interview for DSM-IV (SCID-IV) and symptom severity with the Beck Depression Inventory (BDI-II). Depression symptoms were measured repeatedly throughout the study period with the Patient Health Questionnaire (PHQ-9).

Results: At the end of the study, 79% (15/19) of women who received the Internet CBT treatment no longer met diagnostic criteria for depression on the SCID-IV (these outcome data were missing for 2 intervention participants). This contrasted with only 18% (4/22) remission in the treatment as usual condition. Depression scores on the BDI-II showed a large effect favoring the intervention group (d=.83, 95% CI 0.20-1.45). Small to medium effects were found on the PHQ-9 and on measures of anxiety and stress. Adherence to the program was very good with 86% (18/21) of users completing all sessions; satisfaction with the program was rated 3.1 out of 4 on average.

Conclusions: Our results suggest that our Internet CBT program, MumMoodBooster, is an effective treatment option for women clinically diagnosed with PND. This is one of only two controlled evaluations of specialized online psychological treatment among women clinically diagnosed with PND. MumMoodBooster appears to be a feasible, effective treatment option, which is potentially accessible to large numbers of women in metropolitan, rural, and remote areas. Future work might be focused profitably on establishing comparability with face-to-face treatments and purely self-guided delivery. We have commenced a larger RCT comparing MumMoodBooster with face-to-face CBT.

Trial Registration: Australian and New Zealand Clinical Trials Registry (ANZCTR): ACTRN12613000113752; (Archived by WebCite® at

J Med Internet Res 2016;18(3):e54



Approximately 13% of women suffer postnatal depression (PND) by the time their baby is 3 months old [1]. PND, defined as an episode of major or minor depression beginning in the first year postbirth, lies between “baby blues” and postpartum psychosis in severity and prevalence. Left untreated, PND has significant deleterious effects on the mother (her mental health, her relationship with her infant, her potentially suicidal behavior), her family (interrupted employment, partner’s mental health, relationship problems), and her child’s development [2-4]. Yet despite the existence of effective treatments for depression, fewer than 50% of postnatal women seek or accept help, even when identified as depressed [5,6]. Barriers to help seeking and treatment uptake include perceived stigma, fear of being judged a “bad mother,” lowered motivation toward help seeking due to symptoms (eg, fatigue, feelings of hopelessness), concerns about medication while breastfeeding, unequal availability of clinic-based services in remote and rural areas, and logistical difficulties in attending face-to-face clinic counseling with a young infant [7-9]. Further, for most postnatal women, psychotherapy is preferred to pharmacotherapy in the treatment of mental health difficulties often due to concerns over breastfeeding [10]. As pointed out in previous work [11-13], the rapid growth of eHealth offers a psychological treatment model that can potentially reduce or obviate many of these barriers for postnatal women.

Internet Interventions for Postnatal Depression

Encouraging results of online intervention for problems including panic disorder, anxiety, posttraumatic stress [14-17], and depression have been reported [14,18,19] and such treatments can have similar efficacy to face-to-face therapy [19-23]. Reviews of the evidence report that although self-guided interventions for depression have benefit to users [14,18,19], even low-intensity guided support from coaches or therapists helps to increase adherence to online mental health treatments [24,25]. Typically, therapeutic effects can be achieved by online interventions that offer low-intensity guidance of less than 3 contact hours in a 6-week program. Guided support can also provide a secondary “safety net” for individuals whose symptoms deteriorate during online treatment.

We developed a PND intervention (MumMoodBooster) with low-intensity guided support based on cognitive behavioral therapy (CBT), which is an established treatment of choice for depressive disorders with its efficacy supported by much research [26,27]. MumMoodBooster was adapted from our Getting Ahead of Postnatal Depression program, which is specifically adapted for the needs of postnatal women (eg, presenting behavioral strategies before cognitive content. Postnatally depressed women, overwhelmed by the demands of infant care, are often not ready to engage in cognitive tasks prior to some behavior change [28]). Previously, we have reported fully on the formative development and systematic usability testing of the MumMoodBooster program [11]. The program developmental process followed an iterative staged approach [29] recommended for development and testing of behavioral interventions [30,31]. We have also demonstrated clinical efficacy in an uncontrolled feasibility trial [13], which showed excellent adherence and acceptability. Of all users, 87% completed all six program sessions; of those women meeting diagnostic criteria for depression at baseline, 90% no longer met criteria after treatment [13].

MumMoodBooster is now one of two evaluated Internet interventions for PND. O’Mahen and colleagues have also developed and tested Netmums, a guided online behavioral activation (BA) treatment [12,32]. MumMoodBooster is a briefer intervention, (6 sessions vs 12 in Netmums) and includes cognitive therapy as well as BA, but both programs include regular telephone support. This is accomplished by a low-intensity, nontherapeutic coaching role in the case of MumMoodBooster and more frequent calls by mental health workers trained in a “high-intensity perinatal-specific BA approach” in the case of Netmums. In the antenatal period, a recently pilot-tested computerized CBT intervention for depression among pregnant women has also shown significant improvements on self-report psychometric measures [33].

Here we report on the efficacy of the MumMoodBooster intervention delivered with low-intensity guided telephone support in a randomized controlled trial (RCT) compared to a treatment as usual (TAU) condition. We included a sample of women diagnosed with a depressive disorder and reassessed diagnostic status 12 weeks after enrollment. We hypothesized that MumMoodBooster would lead to a reduction in depressive symptomatology and an increased rate of remission from the diagnosed depressive episode compared to TAU. Current evidence points to similar potential for efficacy between online and face-to-face CBT for depression in general. Our study sought first to establish whether a PND-specific online CBT program is clinically effective compared to TAU care practices.


This was a parallel 2-group RCT comparing MumMoodBooster to TAU. The main outcomes were remission from the depressive episode and severity of symptoms of depression at 12 weeks postenrollment. See Multimedia Appendix 1 for the study's CONSORT-EHEALTH checklist [68].


The study was approved by the Austin Health Human Research Ethics Committee (approval number H2012/04682) and informed consent was obtained from all participants.


Recruitment occurred between March 2013 and July 2014. Participants were women resident in Australia aged 18 years and older with a child aged less than 1 year. A stepped process was used to recruit eligible participants: initial screening, clinical assessment, baseline data acquisition, and randomization. The research project was available to women across Australia, in both rural and metropolitan areas. Marketing focused on Internet campaigns using Google AdWords, Facebook, and Twitter. The project was also advertised to Maternal and Child Health Centres in Melbourne who were encouraged to direct clients to the project. Messages prompted interested individuals to obtain more information and to begin a screening process by visiting the secure project recruitment website or to call project staff directly.


Screening criteria were determined online as follows: Australian residency, 18 years of age or older, English speaking, less than 1 year postpartum, Internet access with regular email use, an Edinburgh Postnatal Depression Scale (EPDS) [34,35] score of 11 to 23, no current treatment for depression (medication or psychotherapy), and a score of less than 3 on item #10 of the EPDS (indicating frequent thoughts of self-harm).

Individuals who satisfied screening criteria were emailed a participant information and consent form to complete and return by email. Consenting women were subsequently telephoned by a psychologist/psychology trainee to explain the study and to schedule a clinical assessment. At this stage, women who scored 1 to 2 on item #10 of the EPDS were asked a series of questions following the risk assessment protocol of Simon and colleagues [36] to determine intent, lethality, access to means, and history of suicide attempts. Those deemed to be at risk for suicide were excluded and referred to receive immediate crisis attention.

Clinical Assessment and Inclusion/Exclusion Criteria

Following initial telephone contact, eligible consenting women were assessed by telephone by a clinical psychologist/psychology trainee using the Structured Clinical Interview for DSM-IV (SCID-IV) [37,38]. Inclusion criteria based on the SCID-IV assessment were (1) meeting criteria for a major depressive disorder or (2) meeting criteria for a minor depressive disorder. Exclusion criteria were (1) current substance abuse, (2) current and past manic/hypomanic symptoms, (3) posttraumatic stress disorder, (4) alcohol abuse or dependence, (5) depression with psychotic features, (6) risk of suicide as per risk protocol, and (7) current active treatment for depression (medication or psychotherapy). All assessed women were asked to nominate a contact health professional (eg, a general practitioner) to whom the project could send notification of her diagnosis.


Women satisfying all eligibility criteria were told verbally about the unique log-in they could use to complete the baseline (prerandomization) questionnaires.


Women who completed the baseline assessment questionnaires were randomized immediately online to either MumMoodBooster or to TAU. The randomization procedure used a 1:1 allocation ratio and a pregenerated permuted blocks allocation schedule with the sequence concealed from the researchers consistent with CONSORT standards [39]. Treatment allocation to condition was revealed in a phone call. Women allocated to MumMoodBooster were told verbally about how to begin accessing the program. Given the nature of the intervention, participants could not be blinded to treatment beyond the point of allocation.

Treatment Conditions


The structure and content of the MumMoodBooster intervention and its associated websites (partner’s website, coach’s website, administrative website) have been described in detail elsewhere [13]. Figure 1 shows the structure of the MumMoodBooster program.

Treatment consisted of six interactive sessions that were sequentially accessed and designed to encourage optimal engagement and behavior change. For illustration, Multimedia Appendix 2 contains a selection of screenshots from the program. Each session began with an autoplay video introducing session goals and content. Each session presented content using text, animations, video introductions and case vignettes, and audio and video tutorials. The program encouraged participants to personalize their program content, for example by typing in personal lists of pleasant activities, typing in personal goals, and uploading their own photos to be displayed on program webpages. Users could view online and print out a personal workbook summarizing their personalized content. For example, the “my workbook” function gave users feedback on specific strategies that they themselves had identified as helpful together with reminders of how to bring them into play at the earliest warning signs. Self-monitoring tools required participants to enter their own mood and activity data and enabled daily tracking and online charting of both mood and pleasant activities (Figure 2).

Initial steps of the program provided explicit direction, whereas later steps encouraged participants to assume greater responsibility for managing their own plan for change. Later sessions commenced by reviewing previous material before presenting new content and concepts. The program’s charting function was used to help participants see the functional relation of mood and activity levels. Information from past sessions was used to reinforce gains made, to tailor subsequent program content, and to provide ipsative feedback. Although participants were allowed to set their own pace, of particular importance because women with PND are often overwhelmed by the demands of infant care, the program encouraged the completion of all six sessions at a rate of one session per week. A printable summary was used to describe key content covered in each session and provided a tailored list of recommended home practice activities. Participants were also granted unrestricted access to browse additional “library” articles on relevant topics ranging from relaxation, to problem solving, to parenting support resources. Participants also had unrestricted access to a monitored peer-based Web forum on which they could post, read, and comment on messages from other program participants. Additionally, in recognition of the role of women’s partners [40], participants received access to a library article on “You and Your Partner” and were able to send an invitation to their partner to access the related partner support website (separate log-in process for partners) with information on PND.

Participants in MumMoodBooster received guided support from a telephone coach to assist and encourage them in their use and practice of particular strategies (coaches were instructed to spend a maximum of 30 minutes per week per participant). There were 7 coaches (3 graduate psychology trainees, 3 clinical psychologists, and 1 health psychologist) who were supported and supervised by 2 senior psychologists. Training for the coaching role involved working through the program (as if they were a participant), reading the coach manual, observing other coaches’ complete calls, and a verbal explanation from a senior psychologist about the role and the tasks involved. Content of coaching calls adhered to a manualized script with the defined and limited aims of reinforcing progress; encouraging engagement, practice of strategies, and completion of tasks; and introducing the themes of upcoming sessions. The role of the coaches was only to support mothers in using the program and they were instructed to refrain from giving clinical guidance, but rather to point participants to relevant program content that may address their questions (similar to the “technician” role described by Titov and colleagues [41]). Telephone coaches accessed a secure administrative website to view status reports of participant’s program usage to make support and encouragement consistent with progress. Women were also sent automated email prompts as reminders to complete the 12-week online assessment and to encourage visits to the program.

Figure 1. Diagrammatic structure of the MumMoodBooster postnatal depression program.
View this figure
Figure 2. The charting function on a user’s “My Status” page displaying a breakdown of pleasant activities since starting the program.
View this figure
Treatment as Usual

Participants in the TAU condition received the same clinical assessment as those in the MumMoodBooster condition. In this condition (as for those in the MumMoodBooster condition), women’s nominated health professional received a written notification of the depressive diagnosis that encouraged them to consult with their patient regarding mental health care needs and to form a collaborative care plan with the patient’s other relevant health care practitioners. In most cases, women nominated their Maternal and Child Health Nurse (MCHN) or general practitioner (GP) who were then free to treat or to refer to other services/agencies as they judged appropriate, as would normally happen where specialized programs are not available. Therefore, in practice, TAU varied at the discretion of each participant’s nominated health professional and was expected to include a heterogeneous mix of interventions/supports. TAU participants were also provided with links to general Internet resources on mental health. They also received the email prompts to complete online assessments.

Safety Monitoring

Safety monitoring was used to provide crisis intervention and referrals to mental health specialty care if needed and a reminder of the emergency contacts provided at baseline assessment. For women in the MumMoodBooster condition, these were carried out by the allocated telephone coach. For women in TAU, a separate safety monitor was allocated (from the same pool of staff as the telephone coaches). All study participants were monitored via safety calls on five occasions: at baseline and at weeks 3, 5, and 9 (immediately posttreatment) and at 12 weeks postenrollment. We used the protocol of Simon et al [36] to check for depressive symptoms and adverse events. If women scored 5 points above their baseline PHQ-9 score at any time, or if they responded positively to the PHQ-9 item on thoughts of self-harm, then a risk assessment was conducted. This included asking about suicidal thoughts/thoughts of self-harm, frequency of thoughts, triggers, plans, means, lethality, intention, protective factors, and history of suicide attempts/self-harm behavior.


Measures were administered via online questionnaire or by telephone. Demographic data (eg, age, parity, education, income) were gathered both during telephone assessment and in the online battery of baseline questionnaires. The key depression measures (described subsequently) are well validated and their psychometric properties are well described in general populations. The performance and psychometric properties of both generic and perinatal-specific depression measures used in the context of perinatal populations have been recently reviewed and were the subject of a full health technology report in 2009 [42,43].

Primary Depression Outcomes

Before completion of baseline questionnaires and at 12 weeks postenrollment, trained diagnostic interviewers conducted the SCID-IV [38] by telephone to determine a DSM-IV diagnosis of major depression or minor depression [44]. Diagnostic interviewers were blinded to treatment allocation at the 12-week time point.

At baseline and at 12 weeks postenrollment, severity of depressive symptoms was measured online using the revised Beck Depression Inventory (BDI-II) [45]. The BDI-II is a widely used, well-validated, 21-item clinical instrument that measures cognitive, affective, and physiological factors to assess severity of depression. The BDI-II has been used in many studies of perinatal depression [46-50] and has been validated against gold-standard diagnostic criteria in perinatal populations [47].

Secondary Outcomes

Depressive Symptom Trajectory

Participants completed the 9-item PHQ-9 [51,52] at enrollment and at weeks 3, 5, 9, and 12 postenrollment. The PHQ-9 was administered over the telephone during the routinely scheduled safety monitoring calls.

Anxiety and Stress Symptom Severity

Participants’ anxiety and stress symptom severity were measured at baseline and at weeks 9 and 12 using the anxiety and stress scales of the Depression, Anxiety and Stress Scales—Short Form (DASS-21) [53]. The DASS-21 is a 21-item, 4-point Likert-type scale. The anxiety and stress scales each have a maximum score of 42 [53]. The DASS manual [53] provides recommended cut-offs for rating the severity of scores as normal, mild, moderate, severe, or extremely severe.

Negative Thinking

At baseline and at 12 weeks postenrollment, participants were asked to indicate how frequently over the previous week they had negative thoughts using the 30-item Automatic Thoughts Questionnaire (ATQ) [54]. The ATQ asks respondents to rate their agreement with a series of statements (eg, “My life is a mess”) using a scale from 1 to 5 (1=not at all; 5=all of the time). Maximum score is 150.

Behavioral Activation

To measure changes in behavior patterns, at baseline and at 12 weeks postenrollment, women completed the 25-item Behavioral Activation for Depression Scale (BADS) [55]. Respondents rate their agreement with a series of statements (eg, “I stayed in bed for too long even though I had things to do”) on a scale from 0 to 6 with a maximum total score for the scale of 150.

Relationship With Partner

Women’s relationships with their partners were assessed using the abbreviated 7-item version of the Dyadic Adjustment Scale (DAS-7) [56] at baseline and at 12 weeks postenrollment. The general satisfaction score was calculated as the sum of all items. Maximum score is 36.

Self-Efficacy in Parenting Role

At baseline and at 12 weeks postenrollment, we used the Parenting Sense of Competence Scale (PSOC) [57] that asks respondents to rate the extent of their agreement with 7 items designed to assess self-perception of knowledge and competence in the mothering role. Statements (eg, “I honestly believe I have all the skills necessary to be a good mother to my baby”) are rated from 1 to 6 (1=strongly disagree; 6=strongly agree). Maximum score is 42.

Engagement in MumMoodBooster Program

Website analytic tools and database flags allowed us to measure MumMoodBooster program usage in an unobtrusive manner, generating records of number and duration of visits to the website and number of program sessions attended.

Treatment Satisfaction and Helpfulness

Satisfaction with the MumMoodBooster program was assessed using a 4-point Likert scale (1=not at all satisfied; 4=very satisfied). Helpfulness of phone coach calls was similarly assessed using a 4-point Likert scale (1=not at all helpful; 4=very helpful).

Use of Other Supports/Treatments

Participants were also asked to provide details of access to other support services and treatments during the study interval.

Statistical Analysis

The primary outcomes were changes in depressive diagnostic status (assessed by the SCID-IV) and depression symptom severity (BDI-II). The categorical outcome (ie, diagnostic status) was analyzed using a contingency table and chi-square test. The continuous outcome (ie, BDI-II) was analyzed in general linear models, which accounted for baseline values as a covariate. Continuous repeated measures data (PHQ-9) were analyzed in mixed-effects growth models using restricted maximum likelihood. Log-likelihood ratio and Akaike information criterion were used to assess model fit.

Consistent with CONSORT standards [58,59], all primary analyses involved planned contrasts of the MumMoodBooster condition versus the TAU control condition with all randomized participants analyzed in their allocated treatment condition. For anxiety and stress symptom severity (DASS-21 Anxiety scale and DASS-21 Stress scale), because transformation failed to improve normality, the nonparametric Mann-Whitney U test was used for between-group comparison. Effect sizes were expressed as Cohen’s d [60] with 95% confidence intervals.

There was some missing data (<5%) on the primary outcomes. Little’s missing completely at random (MCAR) test [61] revealed that these data were missing completely at random (χ2335=303.56, P=.89). Given the minimal and random nature of missing data, the highly conservative “worst-case” imputation method [41] was used for intention-to-treat analysis. This method replaces missing outcome values in the intervention and control conditions with the least favorable and most favorable scores observed within those respective conditions [41], thus providing a sensitivity analysis of the robustness of the observed treatment effect to type I error [62]. Results are presented on the basis of the intention-to-treat analyses. Computations were executed using IBM SPSS Statistics version 22 (IBM Corp, Armonk, NY, USA).

Power and Sample Size

For the outcome measure of depressive symptom severity (BDI-II), data from a previous trial of CBT [28] for PND provided relevant estimates of variability in baseline scores (mean 23, SD 8.1 points). On this basis, a difference of 6.5 points would be necessary to move mean scores from the “moderately severe” to the “minimal” category of depressive symptoms specified by Beck and colleagues [63] (cut-off between these categories=17 points). We considered this to be the minimum clinically important difference in continuous scores of depression severity [28]. With a power of 0.8 at α=.05, the required n=15.7(8.09/6.5)2=24.3, which rounds to 25 per group. Thus, we aimed for a total sample size of N=50 to achieve sufficient power to detect a clinically important difference in the primary measure of depressive symptom severity.


A total of 178 women began the study registration process (see Figure 3). By the end of the recruitment period, 43 mothers were randomized (24.2% of registrants) to either the MumMoodBooster condition (n=21) or the TAU condition (n=22). Figure 3 details the reasons for attrition between registration and randomization. Twelve weeks following enrollment, two women in the MumMoodBooster condition failed to complete online assessment questionnaires and telephone diagnostic interviews (all women in TAU completed the 12-week assessments).

Women in the two conditions appeared comparable in terms of baseline characteristics (Table 1). As recommended by the CONSORT Statement [58], no significance tests of between-group differences were conducted on baseline data.

Table 1. Baseline characteristics of participants (N=43).
CharacteristicMumMoodBooster (n=21)TAU (n=22)
Mother’s age (years), mean (SD)31.7 (4.6)31.5 (4.3)
Baby’s age (months), mean (SD)6.52 (2.8)6.15 (3.1)
EPDS at screening, mean (SD)16.6 (3.1)15.8 (2.8)
Born in Australia, n (%)18 (86)21 (96)
Current major depression, n (%)20 (95)20 (91)
Current minor depression, n (%)1 (5)2 (9)
Past major depression, n (%)14 (67)15 (68)
Relationship status, n (%)

Married/Living with partner18 (86)20 (91)

Single3 (14)2 (9)
Education, n (%)

Did not finish school0 (0.0)1 (5)

High school only2 (9)3 (14)

Certificate level4 (19)3 (14)

Diploma level5 (24)4 (18)

Undergraduate degree6 (29)7 (32)

Postgraduate degree4 (19)4 (18)
Number of children (including most recent baby), n (%)

17 (33)7 (32)

27 (33)11 (50)

≥37 (33)4 (18)
Family income (AUS$), n (%)

≤$20,0000 (0)1 (5)

$20,001-$40,0000 (0)1 (5)

$40,001-$60,0002 (10)1 (5)

$60,001-$80,0003 (14)6 (27)

>$80,00013 (62)13 (59)

Not divulged3 (14)0 (0)

In the MumMoodBooster condition, 20 of 21 women (95%) were diagnosed with current major depression and 1 of 21 women (5%) with minor depression. In the TAU condition, 20 of 22 women (91%) met diagnostic criteria for current major depression and 2 of 22 women (9%) for minor depression (Table 1).

The mean age of mothers was close to the most recently available Australian national average (30 years [64]) and their infants averaged just over 6 months of age. The sample contained a higher proportion of women born in Australia than the latest national average (national average=70%) and a lower proportion of first-time mothers (national average=43%). The mean EPDS at screening was 16.2 (SD 2.9), similar to the mean observed in other Australian samples of depressed perinatal women [47]. As reported in studies of major risk factors for PND [65], 67.4% (29/43) of the cohort had experienced a past major depressive episode.

Figure 3. CONSORT diagram of participant flow through the study.
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Primary Depression Outcomes

In the MumMoodBooster condition, 79% (15/19) of women no longer met DSM-IV criteria for depression at 12 weeks; this was 18% (4/22) in the TAU condition. In the intention-to-treat analysis, a chi-square test revealed a statistically significant between-group difference in the frequency of depressive diagnosis (major or minor depression) at 12-week follow-up (Yates corrected χ21=10.3, P=.001). Figure 4 shows the proportions on which the intention-to-treat analysis was conducted.

Similarly, women in the MumMoodBooster condition also showed reduced severity of depression symptoms, whereas those in the TAU condition displayed little improvement (see Table 2). After controlling for baseline scores, mean depression symptoms on the BDI-II in the intervention group at 12 weeks were significantly lower than that of the TAU group (P=.01) and this represented a large effect size (Table 2). Results for both diagnostic status and BDI-II scores were also statistically significant in observed-case analyses before imputation.

Table 2. Severity of depression, anxiety, and stress symptoms over time.a
Outcome measurebMumMoodBooster, mean (SD) n=21TAU, mean (SD) n=22F1,40UPd (95% CI)

Baseline25.3 (6.4)26.3 (8.6)

12 weeks14.5 (12.2)23.0 (7.5)7.4
.010.83 (0.20, 1.45)
DASS Anxiety

Baseline9.0 (7.0)6.7 (5.3)

9 weeks5.0 (6.2)5.9 (4.3) (–0.42, 0.78)

12 weeks4.2 (5.5)5.4 (3.0) (–0.33, 0.87)
DASS Stress

Baseline22.1 (8.0)20.7 (7.2)

9 weeks14.2 (9.0)18.5 (7.1) (–0.07, 1.15)

12 weeks13.1 (8.7)18.1 (10.2) (–0.08, 1.14)

a Tabled values are from intention-to-treat analyses after imputation of missing values.

b BDI-II: Beck Depression Inventory II; DASS: Depression, Anxiety and Stress Scales.

Figure 4. DSM-IV diagnoses at baseline and 12 weeks postenrollment.
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Secondary Outcomes

Trajectory of Depressive Symptoms

Figure 5 shows PHQ-9 scores across the study period for both conditions. There was no significant between-condition difference in PHQ-9 scores at baseline. A substantial reduction in PHQ-9 scores occurred from enrollment to 12 weeks in the MumMoodBooster condition (mean 7.2 point drop). However, for the TAU condition, PHQ-9 scores fluctuated slightly with only a small reduction over the same time period (mean 3.3 point drop). A mixed-effects growth model (random intercept model with a linear trajectory) revealed a significant linear decrease in PHQ-9 values for all study participants (estimate=–0.23, SE 0.08, P=.01, partial r =–.22) and a differential trajectory between conditions, with MumMoodBooster participants’ scores decreasing (improving) at a greater rate (estimate=–0.34, SE 0.12, P=.01, partial r=–.23).

Figure 5. Longitudinal trajectories of Patient Health Questionnaire-9 (PHQ-9) scores from baseline to 12 weeks.
View this figure
Anxiety and Stress Symptom Severity

At baseline, mean anxiety scores were within the normal-to-mild range of severity (0-9). Mean baseline stress scores fell in the moderate range of severity (19-25). At 9 weeks (immediately posttreatment) and at 12 weeks postenrollment, average symptom severity on the Anxiety scale of the DASS-21 was not significantly lower in the MumMoodBooster condition compared to the TAU condition (Table 2) and represented small effect sizes at both times (d=0.18 and d=0.27, respectively; see Table 2). Mean symptom severity on the Stress scale of the DASS-21 showed a significant between-group difference favoring the MumMoodBooster condition at 9 weeks, but not at 12 weeks. These differences represented medium effect sizes at both times (see Table 2; d=0.54 and d=0.53, respectively).

Negative Thinking and Behavioral Activation

Mean scores for measures of both negative thinking (ATQ) and behavioral activation (BADS) showed some improvement in both the MumMoodBooster and TAU conditions (see Table 3), with medium to large effect sizes favoring the MumMoodBooster condition at 12 weeks postenrollment.

Table 3. Secondary outcomes at baseline and 12 weeks.a
Outcome measurebMumMoodBooster, mean (SD)
TAU, mean (SD)
F1,40Pd (95% CI)

Baseline70.19 (16.49)80.55 (22.89)

12 weeks56.33 (26.73)72.05 (20.78) (–0.01, 1.22)

Baseline79.86 (15.76)78.27 (15.08)

12 weeks103.24 (24.49)84.77 (17.07) (0.23, 1.48)

Baseline21.10 (6.95)19.41 (7.92)

12 weeks22.67 (6.43)21.23 (6.36)0.10.750.10 (–0.50, 0.70)

Baseline27.52 (7.50)21.23 (7.37)

12 weeks30.19 (7.53)23.36 (7.85) (–0.08, 1.13)

a Tabled values are from intention-to-treat analyses after imputation of missing values.

b ATQ: Automatic Thoughts Questionnaire; BADS: Behavioral Activation for Depression Scale; DAS-7: Dyadic Adjustment Scale: PSOC: Parenting Sense of Competence.

c Lower score is superior.

d Higher score is superior.

Relationship With Partner and Parenting Self-Efficacy

The intervention had no statistically significant effect on partner relationships (DAS-7 scores), although its impact on the parenting self-efficacy measure (PSOC) constituted a medium effect size (Table 3).

Engagement in MumMoodBooster Program

All women offered the MumMoodBooster intervention (21/21) completed four or more sessions and 86% (18/21) completed all six sessions. Women visited the program on a mean of 20.5 occasions (SD 10.6) and the mean number of sessions attended was 5.7 (SD 0.7). The total time spent using the online program averaged 370 minutes (range 120-1076). Content on the Web forum was viewed, to varying degrees, by all participants and 57% (12/21) posted their own comments to the forum. The mean number of library articles accessed was 4 out of a possible 8. Of the six scheduled coach calls, participants completed a mean 4.3 calls (SD 2.2, range 0-6). A total of 76% (16/21) of participant partners accessed the partner support website.

Treatment Satisfaction and Helpfulness

Of the 21 women in the MumMoodBooster condition, 90% (19/21) provided ratings of the program’s satisfaction and the helpfulness of coaching calls. Mean satisfaction ratings were in the moderately satisfied range (mean 3.1, SD 0.60, range 2-4) on a 4-point scale. Similarly, mean ratings of the helpfulness of telephone coach calls were in the moderately helpful range (mean 3.2, SD 0.89, range 1-4) on a 4-point scale.

Use of Other Supports/Treatments

At the 12-week assessment, all study participants were asked: “Since you enrolled in the study, which of the following products or programs have you used to manage your mood? (choose all that apply).” A checklist was presented and participants checked the items relevant to their usage. The possible items were (1) I participated in a group treatment program, (2) I participated in an individual treatment program, (3) I participated in another Internet-based treatment program, (4) I saw my doctor who gave me advice, (5) I saw my Maternal & Child Health Nurse/Pediatrician who gave me advice, (6) I took medication for depression, (7) I used hypnosis or acupuncture, (8) I read self-help books, and (9) other (please specify). Of the respondents in the MumMoodBooster condition, 32% (6/19) reported that they had accessed one or more sources of support, whereas 81% (17/21) of those in TAU reported using one or more supports while enrolled in the trial; this was a statistically significant difference (continuity corrected χ21=10.3, P=.002). Figure 6 shows the types of supports accessed in both groups.

Of note, individual psychological treatment was reported only by TAU participants, whereas one respondent (5%) in the MumMoodBooster condition reported commencing the use of antidepressant medication compared to 4 (19%) in TAU. More respondents in the TAU group reported having accessed their GP, child health nurse, or pediatrician. Various supports reported by participants, categorized collectively as “other,” included Internet research, meditation, telephone helplines, and talking to friends/other mothers. More respondents in the TAU group (10/21, 48%) accessed these “other” supports compared to the MumMoodBooster condition (3/19, 16%).

Figure 6. Other supports and treatments accessed during the trial (n=6 women in the MumMoodBooster condition and n=17 in the TAU condition reported accessing other supports).
View this figure

Postnatal depression is prevalent, with enormous negative effects on maternal and infant well-being, yet postnatally depressed women receive adequate treatment in less than 10% of cases [66]. Internet interventions offer promise in overcoming some of the main barriers to treatment access and allow women more direct control over their own treatment schedule. By mitigating the difficulty of attending a clinic with a young infant and by reducing barriers such as perceived stigma, these treatments hold the potential to empower depressed perinatal women to take effective steps to overcome their emotional health difficulties.

This RCT demonstrates that the MumMoodBooster intervention results in very good participant engagement with the program, increased rates of remission from diagnosed depression, as well as a significantly more rapid reduction in severity of depressive symptoms. This improvement was evidenced in a sample with baseline depression severity in the moderately severe range and with the vast majority of participants diagnosed with major depression. The intervention produced a 4-fold improvement in the rate of depression remission compared to the TAU condition—even when worst-case results were imputed for the few missing data values.

These results are an encouraging replication of the findings of our previous uncontrolled feasibility study of MumMoodBooster with postnatally depressed women in both Australia and the United States [13]. For example, the observed trajectories of depressive symptoms measured on the PHQ-9 are closely similar in both shape and values, showing rapid initial gains followed by decelerating but continued improvement from around the fifth or sixth week of treatment. Further, treatment adherence, as reflected in the mean number of website visits and CBT sessions viewed, were almost identical in the two studies. Again, similar to the feasibility results, the current RCT found that improvements in automatic thinking and behavioral activation represented medium to large treatment effects favoring the MumMoodBooster intervention, a result in accordance with theoretical expectations regarding the mechanism of action associated with CBT. In both this trial and our earlier feasibility study, we found no evidence of any improvement in women’s relationships with their partners over the study period (as measured by the DAS-7).

This RCT also evaluated changes in symptoms of anxiety and stress, commonly comorbid with depression, and found medium effects favoring the intervention in terms of stress but not anxiety. In interpreting this result, it is worth noting that, at baseline, the mean DASS-21 Anxiety score for participants already fell inside the normal range for anxious symptoms. Although comorbid anxiety symptoms are commonly reported among women with PND, in this sample there may have been little potential gain to make in terms of reducing anxiety scores.

The study has some limitations. First, the RCT was based on a relatively small sample size meaning that some caution is required in trying to generalize our results to the wider perinatal population. Second, women allocated to TAU reported high levels of alternative help seeking and this may have made the detection of true treatment effects relative to TAU more difficult. Conceivably, the comprehensive psychological assessment process for trial inclusion (which is not a consistent feature of TAU in real-world practice) may itself have affected rates of alternative help seeking. It was not unexpected to see the considerable variation in treatments and supports accessed in TAU, as has been discussed in a recent review of what constitutes TAU in the context of RCTs of psychological interventions [67]. However, the possible influence of access to alternative supports and treatments in both groups should be borne in mind when interpreting our results. Last, the follow-up period was short (12 weeks postenrollment) and precluded assessment of the endurance of the treatment effect beyond this time.

Despite these limitations, the robustness of the intention-to-treat analysis tends to uphold the reliability of the results for the primary outcomes. Finally, a major strength of the study is that the efficacy of the MumMoodBooster intervention in treating PND was evaluated against DSM-IV diagnostic criteria. This is the first such result using a diagnostic outcome measure in this field of research.

In summary, this RCT confirms and adds to existing evidence for the efficacy of online treatment for PND [12,13]. Apparent strengths of the MumMoodBooster program are its observed ability to rapidly improve symptoms in women with severe diagnosed depression and that it appears highly acceptable. It also appears to help change underlying negative cognitions as well as create behavioral change. As with the study by O’Mahen and colleagues [12], the version of MumMoodBooster evaluated in this RCT included telephone support, but to a lesser degree, and women found this coaching component to be helpful. Online psychological treatment may be particularly relevant for women with PND. It can be accessed in a flexible manner that may better fit a woman’s own time-management needs in caring for her infant. It can be delivered with greater privacy, which may help to address the reluctance of many women to seek traditional forms of treatment due to perceived stigma [8]. Future research might focus profitably on quantifying the value of guided support in such online perinatal interventions and on the potential efficacy of less guided versions or of purely self-guided online treatments for PND. Finally, efficacy relative to traditional, in-person clinical psychological treatment remains to be established. We are currently engaged in a large (n=210) randomized trial in Australia designed to directly compare MumMoodBooster with best-practice specialized face-to-face CBT treatment for PND and with an extended period of follow-up (trial registration number: ACTRN12613000881730).


We thank beyondblue and the Windermere Foundation for funding this RCT and all the mothers who participated in this research. The funding bodies had no role in data analysis or in the decision to publish the results of the trial. Ryann Crowley at Oregon Research Institute and Tom Jacobs and team at InterVision Media (Eugene, OR, USA) provided invaluable technology assistance. Our thanks to Eliza Hartley for assistance in preparing the manuscript.

Conflicts of Interest

None declared

Multimedia Appendix 1

CONSORT-EHEALTH checklist V1.6.2 [68].

PDF File (Adobe PDF File), 777KB

Multimedia Appendix 2

Selected Screenshots.

PDF File (Adobe PDF File), 1MB

  1. 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 Nov;106(5 Pt 1):1071-1083. [CrossRef] [Medline]
  2. Beck CT. The effects of postpartum depression on child development: a meta-analysis. Arch Psychiatr Nurs 1998 Feb;12(1):12-20. [Medline]
  3. Cornish A, McMahon C, Ungerer J, Barnett B, Kowalenko N, Tennant C. Postnatal depression and infant cognitive and motor development in the second postnatal year: the impact of depression chronicity and infant gender. Infant Behav Dev 2005 Dec;28(4):407-417. [CrossRef]
  4. Kaplan PS, Danko CM, Diaz A, Kalinka CJ. An associative learning deficit in 1-year-old infants of depressed mothers: role of depression duration. Infant Behav Dev 2011 Feb;34(1):35-44 [FREE Full text] [CrossRef] [Medline]
  5. Austin M, Frilingos M, Lumley J, Hadzi-Pavlovic D, Roncolato W, Acland S, et al. Brief antenatal cognitive behaviour therapy group intervention for the prevention of postnatal depression and anxiety: a randomised controlled trial. J Affect Disord 2008 Jan;105(1-3):35-44. [CrossRef] [Medline]
  6. Cox J, Holden J. Perinatal Mental Health: A Guide to the Edinburgh Postnatal Depression Scale. London: The Royal College of Psychiatrists; 2003.
  7. Gentile S. Use of contemporary antidepressants during breastfeeding: a proposal for a specific safety index. Drug Saf 2007;30(2):107-121. [Medline]
  8. Bilszta J. Women's experience of postnatal depression-beliefs and attitudes as barriers to care. Aust J Adv Nurs 2010;27(3):44-54 [FREE Full text]
  9. Bowen A, Bowen R, Butt P, Rahman K, Muhajarine N. Patterns of depression and treatment in pregnant and postpartum women. Can J Psychiatry 2012 Mar;57(3):161-167. [Medline]
  10. Arch JJ. Cognitive behavioral therapy and pharmacotherapy for anxiety: treatment preferences and credibility among pregnant and non-pregnant women. Behav Res Ther 2014 Jan;52:53-60. [CrossRef] [Medline]
  11. Danaher BG, Milgrom J, Seeley JR, Stuart S, Schembri C, Tyler MS, et al. Web-based intervention for postpartum depression: formative research and design of the MomMoodBooster program. JMIR Res Protoc 2012;1(2):e18 [FREE Full text] [CrossRef] [Medline]
  12. 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]
  13. Danaher BG, Milgrom J, Seeley JR, Stuart S, Schembri C, Tyler MS, et al. MomMoodBooster web-based intervention for postpartum depression: feasibility trial results. J Med Internet Res 2013;15(11):e242 [FREE Full text] [CrossRef] [Medline]
  14. Spek V, Cuijpers P, Nyklícek I, Riper H, Keyzer J, Pop V. Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: a meta-analysis. Psychol Med 2007 Mar;37(3):319-328. [CrossRef] [Medline]
  15. Richards JC, Klein B, Austin DW. Internet cognitive behavioural therapy for panic disorder: does the inclusion of stress management information improve end-state functioning? Clin Psychologist 2006;10(1):2-15. [CrossRef]
  16. Knaevelsrud C, Maercker A. Internet-based treatment for PTSD reduces distress and facilitates the development of a strong therapeutic alliance: a randomized controlled clinical trial. BMC Psychiatry 2007;7:13 [FREE Full text] [CrossRef] [Medline]
  17. Ruwaard J, Broeksteeg J, Schrieken B, Emmelkamp P, Lange A. Web-based therapist-assisted cognitive behavioral treatment of panic symptoms: a randomized controlled trial with a three-year follow-up. J Anxiety Disord 2010 May;24(4):387-396. [CrossRef] [Medline]
  18. Titov N. Internet-delivered psychotherapy for depression in adults. Curr Opin Psychiatry 2011 Jan;24(1):18-23. [CrossRef] [Medline]
  19. Andersson G, Cuijpers P. Internet-based and other computerized psychological treatments for adult depression: a meta-analysis. Cogn Behav Ther 2009;38(4):196-205. [CrossRef] [Medline]
  20. Cuijpers P, Marks IM, van Straten SA, Cavanagh K, Gega L, Andersson G. Computer-aided psychotherapy for anxiety disorders: a meta-analytic review. Cogn Behav Ther 2009;38(2):66-82. [CrossRef] [Medline]
  21. Andrews G, Cuijpers P, Craske MG, McEvoy P, Titov N. Computer therapy for the anxiety and depressive disorders is effective, acceptable and practical health care: a meta-analysis. PLoS One 2010;5(10):e13196 [FREE Full text] [CrossRef] [Medline]
  22. Riper H, Andersson G, Christensen H, Cuijpers P, Lange A, Eysenbach G. Theme issue on e-mental health: a growing field in internet research. J Med Internet Res 2010;12(5):e74 [FREE Full text] [CrossRef] [Medline]
  23. Griffiths KM, Farrer L, Christensen H. The efficacy of internet interventions for depression and anxiety disorders: a review of randomised controlled trials. Med J Aust 2010 Jun 7;192(11 Suppl):S4-S11. [Medline]
  24. Carroll KM, Ball SA, Martino S, Nich C, Babuscio TA, Rounsaville BJ. Enduring effects of a computer-assisted training program for cognitive behavioral therapy: a 6-month follow-up of CBT4CBT. Drug Alcohol Depend 2009 Feb 1;100(1-2):178-181 [FREE Full text] [CrossRef] [Medline]
  25. 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 [FREE Full text] [CrossRef] [Medline]
  26. Cuijpers P, Muñoz RF, Clarke GN, Lewinsohn PM. Psychoeducational treatment and prevention of depression: the “Coping with Depression” course thirty years later. Clin Psychol Rev 2009 Jul;29(5):449-458. [CrossRef] [Medline]
  27. Cuijpers P, Berking M, Andersson G, Quigley L, Kleiboer A, Dobson KS. A meta-analysis of cognitive-behavioural therapy for adult depression, alone and in comparison with other treatments. Can J Psychiatry 2013 Jul;58(7):376-385. [Medline]
  28. 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 Nov;44(Pt 4):529-542. [CrossRef] [Medline]
  29. Henderson J, Noell J, Reeves T, Robinson T, Strecher V. Developers and evaluation of interactive health communication applications. The Science Panel on Interactive Communications and Health. Am J Prev Med 1999 Jan;16(1):30-34. [Medline]
  30. Danaher BG, Seeley JR. Methodological issues in research on web-based behavioral interventions. Ann Behav Med 2009 Aug;38(1):28-39 [FREE Full text] [CrossRef] [Medline]
  31. Rounsaville BJ, Carroll KM, Onken LS. A stage model of behavioral therapies research: Getting startedmoving on from Stage I. Clin Psychol Sci Prac 2001;8:133-142. [CrossRef]
  32. 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]
  33. Kim DR, Hantsoo L, Thase ME, Sammel M, Epperson CN. Computer-assisted cognitive behavioral therapy for pregnant women with major depressive disorder. J Womens Health (Larchmt) 2014 Oct;23(10):842-848 [FREE Full text] [CrossRef] [Medline]
  34. 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. [Medline]
  35. Murray D, Cox JL. Screening for depression during pregnancy with the edinburgh depression scale (EDDS). J Reprod Infant Psyc 1990 Apr;8(2):99-107. [CrossRef]
  36. Simon GE, Ludman EJ, Tutty S, Operskalski B, Von Korff M. Telephone psychotherapy and telephone care management for primary care patients starting antidepressant treatment: a randomized controlled trial. JAMA 2004 Aug 25;292(8):935-942. [CrossRef] [Medline]
  37. Spitzer R, Williams J, Gibbon M, First M. The structured clinical interview for DSM-III-R (SCID). I: history, rationale, and description. Arch Gen Psychiatry 1992 Aug;49(8):624-649. [Medline]
  38. Kubler U. Structured clinical interview for DSM-IV (SCID). In: Gellman M, Turner RJ, editors. Encyclopedia of Behavioral Medicine. New York: Springer-Verlag; 2013:1919-1920.
  39. Moher D, Schulz KF, Altman DG. The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials. Lancet 2001 Apr 14;357(9263):1191-1194. [Medline]
  40. Wee KY, Skouteris H, Pier C, Richardson B, Milgrom J. Correlates of ante- and postnatal depression in fathers: a systematic review. J Affect Disord 2011 May;130(3):358-377. [CrossRef] [Medline]
  41. Titov N, Andrews G, Davies M, McIntyre K, Robinson E, Solley K. Internet treatment for depression: a randomized controlled trial comparing clinician vs. technician assistance. PLoS One 2010;5(6):e10939 [FREE Full text] [CrossRef] [Medline]
  42. Hewitt C, Gilbody S, Brealey S, Paulden M, Palmer S, Mann R, et al. Methods to identify postnatal depression in primary care: an integrated evidence synthesis and value of information analysis. Health Technol Assess 2009 Jul;13(36):1-145,-147-150 [FREE Full text] [CrossRef] [Medline]
  43. Mann R, Evans J. Screening tools and methods of identifying perinatal depression. In: Milgrom J, Gemmill AW, editors. Identifying Perinatal Depression and Anxiety: Evidence‐Based Practice in Screening, Psychosocial Assessment and Management. Chichester: Wiley Blackwell; 2015:76-92.
  44. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington, DC: American Psychiatric Association; 2000.
  45. Beck AT, Steer RA, Carbin MG. Psychometric properties of the Beck Depression Inventory: twenty-five years of evaluation. Clin Psychol Rev 1988 Jan;8(1):77-100. [CrossRef]
  46. Adewuya AO, Eegunranti AB, Lawal AM. Prevalence of postnatal depression in Western Nigerian women: a controlled study. Int J Psychiatry Clin Pract 2005;9(1):60-64. [CrossRef] [Medline]
  47. Milgrom J, Ericksen J, Negri L, Gemmill AW. Screening for postnatal depression in routine primary care: properties of the Edinburgh Postnatal Depression Scale in an Australian sample. Aust N Z J Psychiatry 2005 Sep;39(9):833-839. [CrossRef] [Medline]
  48. Ji S, Long Q, Newport DJ, Na H, Knight B, Zach EB, et al. Validity of depression rating scales during pregnancy and the postpartum period: impact of trimester and parity. J Psychiatr Res 2011 Feb;45(2):213-219 [FREE Full text] [CrossRef] [Medline]
  49. Holcomb WL, Stone LS, Lustman PJ, Gavard JA, Mostello DJ. Screening for depression in pregnancy: characteristics of the Beck Depression Inventory. Obstet Gynecol 1996 Dec;88(6):1021-1025. [Medline]
  50. Beck CT, Gable RK. Comparative analysis of the performance of the Postpartum Depression Screening Scale with two other depression instruments. Nurs Res 2001;50(4):242-250. [Medline]
  51. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001 Sep;16(9):606-613 [FREE Full text] [Medline]
  52. Löwe B, Unützer J, Callahan CM, Perkins AJ, Kroenke K. Monitoring depression treatment outcomes with the patient health questionnaire-9. Med Care 2004 Dec;42(12):1194-1201. [Medline]
  53. Lovibond SH, Lovibond PF. Manual for the Depression Anxiety Stress Scales. Sydney: Psychological Foundation; 1995.
  54. Hollon SD, Kendall PC. Cognitive self-statements in depression: development of an automatic thoughts questionnaire. Cogn Ther Res 1980 Dec;4(4):383-395. [CrossRef]
  55. Kanter JW, Mulick PS, Busch AM, Berlin KS, Martell CR. The Behavioral Activation for Depression Scale (BADS): psychometric properties and factor structure. J Psychopathol Behav Assess 2006 Oct 25;29(3):191-202. [CrossRef]
  56. Hunsley J, Best M, Lefebvre M, Vito D. The seven-item short form of the Dyadic Adjustment Scale: further evidence for construct validity. Am J Fam Ther 2001 Oct;29(4):325-335. [CrossRef]
  57. Johnston C, Mash EJ. A measure of parenting satisfaction and efficacy. J Clin Child Psychol 1989 Jun;18(2):167-175. [CrossRef]
  58. Schulz KF, Altman DG, Moher D. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. BMJ 2010;340:c332 [FREE Full text] [Medline]
  59. Moher D, Hopewell S, Schulz KF, Montori V, Gøtzsche PC, Devereaux PJ, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. BMJ 2010 Mar;340:c869 [FREE Full text] [Medline]
  60. Cohen J. A power primer. Psychol Bull 1992 Jul;112(1):155-159. [Medline]
  61. Little RJ, Rubin DB. Statistical Analysis with Missing Data. 2nd edition. Hoboken, NJ: Wiley; 2002.
  62. Higgins JP, White IR, Wood AM. Imputation methods for missing outcome data in meta-analysis of clinical trials. Clin Trials 2008;5(3):225-239 [FREE Full text] [CrossRef] [Medline]
  63. Beck AT, Steer RA, Brown GK. Beck Depression Inventory-II (BDI-II): Manual. San Antonio, TX: Psychological Corp; 1996.
  64. Li Z, Zeki R, Hilder L, Sullivan EA. Australia's Mothers and Babies 2011: Perinatal Statistics Series no. 28, Cat. no. PER 59. Canberra: Australian Institute of Health and Welfare; 2013.
  65. 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 May;108(1-2):147-157. [CrossRef] [Medline]
  66. Gavin NI, Meltzer-Brody S, Glover V, Gaynes BN. Is population-based identification of perinatal depression and anxiety desirable? A public health perspective on the perinatal depression care continuum. In: Milgrom J, Gemmill AW, editors. Identifying Perinatal Depression and Anxiety: Evidence-Based Practice in Screening, Psychosocial Assessment, and Management. Chichester: Wiley; 2015.
  67. Watts SE, Turnell A, Kladnitski N, Newby JM, Andrews G. Treatment-as-usual (TAU) is anything but usual: a meta-analysis of CBT versus TAU for anxiety and depression. J Affect Disord 2015 Apr 1;175:152-167. [CrossRef] [Medline]
  68. Eysenbach G, Consort-EHEALTHGroup. CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res 2011;13(4):e126 [FREE Full text] [CrossRef] [Medline]

ATQ: Automatic Thoughts Questionnaire
BA: behavioral activation
BADS: Behavioral Activation for Depression Scale
BDI-II: Beck Depression Inventory
CBT: cognitive behavioral therapy
DAS-7: Dyadic Adjustment Scale
DASS-21: Depression, Anxiety and Stress Scales—Short Form
EPDS: Edinburgh Postnatal Depression Scale
GP: general practitioner
MCHN: Maternal and Child Health Nurse
PHQ-9: Patient Health Questionnaire
PND: postnatal depression
PSOC: Parenting Sense of Competence
RCT: randomized controlled trial
TAU: treatment as usual

Edited by G Eysenbach; submitted 22.10.15; peer-reviewed by S Rice, A Barrera; comments to author 22.11.15; revised version received 21.12.15; accepted 03.01.16; published 07.03.16


©Jeannette Milgrom, Brian G Danaher, Alan W Gemmill, Charlene Holt, Christopher J Holt, John R Seeley, Milagra S Tyler, Jessica Ross, Jennifer Ericksen. Originally published in the Journal of Medical Internet Research (, 07.03.2016.

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