Identifying and developing strategies for implementation of a guided internet- and mobile-based infant sleep intervention in well-baby and community mental health clinics using group concept mapping.

BACKGROUND: This study aimed to identify strategies for the implementation of a guided internet- and mobile-based intervention (IMI) for infant sleep problems ("Sleep Well, Little Sweetheart") in well-baby and community mental health clinics. STUDY DESIGN: We used group concept mapping, a two-phased mixed methods approach, conducted as a two-day workshop in each clinic. We recruited 20 participants from four clinics and collected sorting and rating data for implementation strategies based on the Expert Recommendations for Implementing Change taxonomy and brainstorming sessions. Data were analyzed using descriptive statistics, multidimensional scaling, and hierarchical cluster analysis to create cluster maps, laddergrams, and Go-Zone graphs. Participants were presented with the results and discussed and interpreted the findings at each of the clinics in spring 2022. RESULTS: Participants identified 10 clusters of strategies, of which Training, Embedding and Coherence, User Involvement and Participation, and Clinician Support and Implementation Counseling were rated as most important and feasible. Economy and Funding and Interactive and Interdisciplinary Collaboration were rated significantly lower on importance and feasibility compared to many of the clusters (all ps < 0.05). There was a correlation between the importance and feasibility ratings (r =.62, p =.004). CONCLUSIONS: The use of group concept mapping made it possible to efficiently examine well-baby and community clinics' perspectives on complex issues, and to acquire specific knowledge to allow for the planning and prioritization of strategies for implementation. These results suggest areas of priority for the implementation of IMIs related to infant sleep problems. TRIAL REGISTRATION: The study was pre-registered at Open Science Framework ( www.osf.io/emct8 ).

Internet-based interventions for parents with children 0-5 years: A scoping review.

AIM: This study aims to review the existing literature on Internet-based health interventions directed to support parents of children aged 0-5 years. METHODS: We systematically searched electronic databases between January 2000 and 2018. The search consisted of terms describing eHealth, intervention and families and/or children. RESULTS: Internet-based parent support interventions were most often directed at rehabilitation and selective prevention, and we identified more studies on mental health (57%) than somatic health (41%). Developmental disorders were the most frequently studied mental health condition (n = 33), while interventions for obesity (15%) were the most studied somatic health condition. Forty-four percent of mental health studies were RCTs and 65% of interventions were theory driven. Interventions most often used a behavioural approach, included guidance and delivered content via text-based information. CONCLUSION: Several significant gaps were identified such as the need for more research outside of English-speaking countries, more systematic reviews and effect studies. This review also elucidates the need for researchers to improve reporting on the theoretical approaches employed in interventions, and to focus on determining the importance of guidance. Finally, program developers should consider using more audio-visual technology to avoid reinforcing social inequalities in access to healthcare.

Posttraumatic stress symptoms following childbirth: associations with prenatal attachment in subsequent pregnancies.

This longitudinal population-based study aimed to investigate the prospective relationship between PTSD symptoms following childbirth and prenatal attachment in the subsequent pregnancy. Data were derived from the Norwegian Akershus Birth Cohort (ABC), a large population-based prospective cohort study. Data from 1473 women who had given birth at least once before and who had completed questionnaires at 17 and 32 weeks of gestation were included. Confirmatory factor analysis of the short version of the Prenatal Attachment Inventory was conducted to validate the scale. Further, structural equation modeling techniques were used to estimate prospective associations of PTSD symptoms following childbirth with prenatal attachment. Finally, to explore potential mechanisms of the association, mediation and moderation analyses were conducted. PTSD symptoms following previous childbirth were found to be prospectively related to higher levels of prenatal attachment in the subsequent pregnancy, while controlling for important confounding factors, such as symptoms of maternal depression and anxiety, previous pregnancy loss, and sociodemographic factors (maternal age, educational level, marital status, and number of children). When fear of childbirth was included as a potential mediating variable, the prospective relationship between PTSD symptoms following childbirth and prenatal attachment in the subsequent pregnancy increased, thereby indicating a suppressor effect. Fear of childbirth did not act as a significant moderator. Our findings suggest that a subsequent pregnancy following a traumatic childbirth may for some women represent an opportunity for a higher level of prenatal attachment, whereas high levels of fear of childbirth may be detrimental for prenatal attachment.

Specific relations of dimensional anxiety and manifest anxiety disorders during pregnancy with difficult early infant temperament: a longitudinal cohort study.

Anxiety in the antenatal period is a common experience, associated with adverse consequences for mother and child. Specific types of prenatal anxiety may have unique associations with infant temperament. This study examines the prospective relationships between general prenatal anxiety, fear of childbirth, and specific prenatal anxiety disorders and early infant temperament 8 weeks postpartum. Data were derived from the Akershus Birth Cohort (ABC), a longitudinal cohort study which targeted all women scheduled to give birth at Akershus University Hospital, Norway. Psychometric measures pertained to general prenatal anxiety (Hopkins Symptom Checklist), fear of childbirth (Wijma delivery expectancy questionnaire), screening for manifest prenatal anxiety disorders based on questions from the mini-international neuropsychiatric interview, and difficult infant temperament (Infant Characteristics Questionnaire). The sample for the present study included 2206 women. General prenatal anxiety, fear of childbirth, agoraphobia, generalized anxiety disorder, and specific phobia presented unique significant prospective contributions to difficult infant temperament 8 weeks postpartum. Separate hierarchical regression models indicated that general prenatal anxiety and fear of childbirth provided the strongest unique contributions. Considering the burden on mothers and the potential long-term effects on child development, the findings of this study highlight the importance of screening women for different types of prenatal anxiety in routine obstetric care. Clinical awareness of the condition and its consequences is warranted. Due to the complexity of infant temperament as a construct with various influences, future research should consider mechanisms and influential factors pertaining to the relationship between prenatal anxiety and infant temperament.

Mamma Mia - A randomized controlled trial of an internet-based intervention for perinatal depression.

BACKGROUND: Studies suggest that 10-15% of perinatal women experience depressive symptoms. Due to the risks, problems with detection, and barriers to treatment, effective universal preventive interventions are needed. The aim of this study was to assess the effectiveness of an automated internet intervention ('Mamma Mia') on perinatal depressive symptoms. Mamma Mia is tailored specifically to the perinatal phase and targets risk and protective factors for perinatal depressive symptoms. METHODS: A total of 1342 pregnant women were randomized to an intervention ('Mamma Mia') and control group. Data were collected at gestational week (gw) 21-25, gw37, 6 weeks after birth, and 3 and 6 months after birth. We investigated whether (1) the intervention group displayed lower levels of depressive symptoms compared with the control group, (2) the effect of Mamma Mia changed over time, (3) the effect on depressive symptoms was moderated by baseline depressive symptoms, previous depression, and parity, and (4) this moderation changed by time. Finally, we examined if the prevalence of mothers with possible depression [i.e. Edinburgh Postnatal Depression Scale (EPDS)-score ⩾10] differed between the intervention and control group. RESULTS: Participants in the Mamma Mia group displayed less depressive symptoms than participants in the control group during follow-up [F(1) = 7.03, p = 0.008]. There were indications that the effect of Mamma Mia was moderated by EPDS score at baseline. The prevalence of women with EPDS-score ⩾10 was lower in the Mamma Mia group at all follow-up measurements. CONCLUSIONS: The study demonstrated the effects of the automated web-based universal intervention Mamma Mia on perinatal depressive symptoms.

A population-based study of the relationship between perinatal depressive symptoms and breastfeeding: a cross-lagged panel study.

Studies suggest that perinatal depression and breastfeeding co-vary, but determining the relationship between breastfeeding and perinatal depression has proved challenging. A bidirectional association has been suggested, implying that depression may impact on breastfeeding and that breastfeeding might influence depressive symptoms. The present study aimed to contribute to the understanding of the relationship between perinatal depression and breastfeeding in a population-based sample where we used structural equation modeling (SEM) techniques to investigate cross-lagged and autoregressive effects as well as concurrent associations. The present study was part of a large-scale Norwegian prospective study. Nurses and midwives at nine well-baby clinics recruited participants. All the well-baby clinics had implemented the Edinburgh method, which combines the use of the Edinburgh Postnatal Depression Scale (EPDS) with an immediate follow-up conversation. Completed EPDS forms were recorded, as well as the mothers' reports of breastfeeding behaviors. Depressive symptoms measured prenatally during the last trimester, at 4 and 6 months postpartum did not predict breastfeeding behavior at 4, 6, or 12 months postpartum, respectively. Furthermore, breastfeeding at 4 and 6 months postpartum did not predict depressive symptomatology at 6 or 12 months postpartum. There were no significant concurrent associations between breastfeeding and depressive symptoms at 4, 6, or 12 months postpartum. Depressive symptoms predicted subsequent depressive symptoms and breastfeeding predicted subsequent breastfeeding. There was no evidence of a relationship between depressive symptoms and breastfeeding. Potential explanations and implications are discussed.

The Implementation of Internet Interventions for Depression: A Scoping Review.

BACKGROUND: Depression is one of the most common mental health problems among adults, but effective treatments are not widely accessible. The Internet holds promise as a cost-effective and convenient delivery platform of interventions for depression. However, studies suggest that Internet interventions are not widely available in routine settings. OBJECTIVE: The aim of this study was to review the literature and examine whether there are systematic differences in reporting of the various implementation components on Internet interventions for depression, and then to examine what is known about and is characteristic of the implementation of these Internet interventions in regular care settings. METHODS: We performed a scoping review, drawing upon a broad range of the literature on Internet interventions for depression in regular care, and used the active implementation framework to extract data. RESULTS: Overall, the results suggested that knowledge about the implementation of Internet interventions for depression in regular care is limited. However, guided support from health professionals emphasizing program adherence and recruitment of end users to the interventions emerged as 2 main themes. We identified 3 additional themes among practitioners, including their qualifications, training, and supervision, but these were scarcely described in the literature. The competency drivers (ie, staff and user selection, training, and supervision) have received the most attention, while little attention has been given to organizational (ie, decision support, administration, and system intervention) and leadership drivers. CONCLUSIONS: Research has placed little emphasis on reporting on the implementation of interventions in practice. Leadership and organizational drivers, in particular, have been largely neglected. The results of this scoping review have implications for future research and efforts to successfully implement Internet interventions for depression in regular care.

Developing a Program Costs Checklist of Digital Health Interventions: A Scoping Review and Empirical Case Study.

INTRODUCTION: The rate of development and complexity of digital health interventions (DHIs) in recent years has to some extent outpaced the methodological development in economic evaluation and costing. Particularly, the choice of cost components included in intervention or program costs of DHIs have received scant attention. The aim of this study was to build a literature-informed checklist of program cost components of DHIs. The checklist was next tested by applying it to an empirical case, Mamma Mia, a DHI developed to prevent perinatal depression. METHOD: A scoping review with a structured literature search identified peer-reviewed literature from 2010 to 2022 that offers guidance on program costs of DHIs. Relevant guidance was summarized and extracted elements were organized into categories of main cost components and their associated activities following the standard three-step approach, that is, activities, resource use and unit costs. RESULTS: Of the 3448 records reviewed, 12 studies met the criteria for data extraction. The main cost categories identified were development, research, maintenance, implementation and health personnel involvement (HPI). Costs are largely considered to be context-specific, may decrease as the DHI matures and vary with number of users. The five categories and their associated activities constitute the checklist. This was applied to estimate program costs per user for Mamma Mia Self-Guided and Blended, the latter including additional guidance from public health nurses during standard maternal check-ups. Excluding research, the program cost per mother was more than double for Blended compared with Self-Guided (€140.5 versus €56.6, 2022 Euros) due to increased implementation and HPI costs. Including research increased the program costs to €190.8 and €106.9, respectively. One-way sensitivity analyses showed sensitivity to changes in number of users, lifespan of the app, salaries and license fee. CONCLUSION: The checklist can help increase transparency of cost calculation and improve future comparison across studies.

Estimating program or intervention costs of digital health interventions (DHIs) can be challenging without a checklist. We reviewed scientific literature to identify key cost categories of DHIs: development, research, maintenance, implementation and health personnel involvement. We also summarized relevant information regarding resource use and unit cost for each of the aforementioned categories. Applying this checklist to Mamma Mia, a DHI aimed at preventing perinatal depression, we find that the total cost per user for Mamma Mia Self-Guided is €106.9 and for Mamma Mia Blended is €190.8. Our checklist enhances visibility of DHI cost components and can aid analysts in better estimating costs for economic evaluations.

Dropout or Drop-In Experiences in an Internet-Delivered Intervention to Prevent Depression and Enhance Subjective Well-Being During the Perinatal Period: Qualitative Study.

Background: The perinatal period is a vulnerable time when women are at increased risk of depression. "Mamma Mia" is a universal preventive internet-delivered intervention offered to pregnant women, with the primary goals of preventing the onset or worsening of depression and enhancing subjective well-being during the perinatal period. However, treatment dropout from internet-delivered interventions is often reported. Objective: The study aim was to acquire an understanding of the different experiences among participants who dropped out of the Mamma Mia intervention during pregnancy, compared to participants who dropped out during the postpartum follow-up phase. Methods: A total of 16 women from a larger randomized controlled trial (Mamma Mia) participated in individual semistructured interviews following a strengths, weaknesses, opportunities, and threats format. Of the 16 participants included, 8 (50%) women dropped out early from the intervention during pregnancy (pregnancy group), whereas 8 (50%) women dropped out later, after giving birth (postpartum follow-up group). Data were analyzed using the framework approach. Results: The results showed that there were differences between the groups. In general, more participants in the postpartum follow-up group reported that the program was user-friendly. They became more aware of their own thoughts and feelings and perceived that the program had provided them with more new knowledge and practical information than participants in the pregnancy group. Participants in both groups suggested several opportunities for improving the program. Conclusions: There were differences between women who dropped out of the intervention during pregnancy and the postpartum follow-up phase. The reported differences between groups should be further examined.

Health Personnel's Perceived Usefulness of Internet-Based Interventions for Parents of Children Younger Than 5 Years: Cross-Sectional Web-Based Survey Study.

BACKGROUND: Approximately 10%-15% of children struggle with different socioemotional and psychological difficulties in infancy and early childhood. Thus, health service providers should have access to mental health interventions that can reach more parents than traditional face-to-face interventions. However, despite increasing evidence on the efficacy of internet-based mental health interventions, the pace in transferring such interventions to health care has been slow. One of the major suggested barriers to this may be the health personnel's attitudes to perceived usefulness of internet-based interventions. OBJECTIVE: The purpose of this study was to examine health professionals' perceived usefulness of internet-based mental health interventions and to identify the key areas that they consider new internet-based services to be useful. METHODS: Between May and September 2018, 2884 leaders and practitioners of infant and child health services were recruited to a cross-sectional web-based survey through the following channels: (1) existing email addresses from the Regional Centre for Child and Adolescent Mental Health, Eastern and Southern Norway, course database, (2) an official mailing list to infant and child health services, (3) social media, or (4) other recruitment channels. Respondents filled in background information and were asked to rate the usefulness of internet-based interventions for 12 different infant and child mental health problem areas based on the broad categories from the Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood (DC:0-5). Perceived usefulness was assessed with 1 global item: "How often do you think internet-based self-help programs can be useful for following infant and child mental health problems in your line of work?" The answers were scored on a 4-point scale ranging from 0 (never) to 3 (often). RESULTS: The participants reported that they sometimes or often perceived internet-based interventions as useful for different infant and child mental health problems (scale of 0-3, all means>1.61). Usefulness of internet-based interventions was rated acceptable for sleep problems (mean 2.22), anxiety (mean 2.09), and social withdrawal and shyness (mean 2.07), whereas internet-based interventions were rated as less useful for psychiatric problems such as obsessive behaviors (mean 1.89), developmental disorders (mean 1.91), or trauma (mean 1.61). Further, there were a few but small differences in perceived usefulness between service leaders and practitioners (all effect sizes<0.32, all P<.02) and small-to-moderate differences among daycare centers, well-baby clinics, municipal child welfare services, and child and adolescent mental health clinics (all effect sizes<0.69, all P<.006). CONCLUSIONS: Internet-based interventions for different infant and child mental health problems within services such as daycare centers, well-baby clinics, municipal child welfare services, and child and adolescent mental health clinics are sometimes or often perceived as useful. These encouraging findings can support the continued exploration of internet-based mental health interventions as a way to improve parental support.

Predictors and Changes in Paternal Perinatal Depression Profiles-Insights From the DREAM Study.

In contrast to the large body of research on maternal perinatal depression, paternal perinatal mental health has received little attention; and longitudinal studies on paternal perinatal depression, following (expectant) fathers over time, are exceedingly rare. This population-based study aimed to (1) estimate prevalence rates of perinatal depression symptoms among German (expectant) fathers, (2) identify differential profiles of perinatal depression in (expectant) fathers, (3) determine modifiable predictors of latent depression profiles, and (4) estimate how membership in subgroups changes during the perinatal period. Data were derived from the longitudinal cohort study DREAM (Dresden Study on Parenting, Work, and Mental Health), including 1,027 (expectant) fathers responding to the Edinburgh Postnatal Depression Scale (EPDS) during pregnancy and 8 weeks postpartum. Unobserved profiles of paternal perinatal depression and movement between profiles were investigated using latent transition analysis. A number of potential predictors with regard to lifestyle and current life situation were included as covariates. We found that rates of paternal depression symptoms decreased with 9% during pregnancy to 5% at 8 weeks postpartum. Further, four latent depression profiles emerged: most (expectant) fathers did not exhibit any depression symptoms (not depressed), whereas some reported mainly the absence of joy (anhedonic) and some experienced mainly self-blame and worries (anxious-worried). The depressive profile was characterized by endorsement to most symptoms of perinatal depression. Perceived social support and relationship satisfaction appeared to be protective against paternal depression symptoms. Differential transitioning or stability patterns in profile membership during the perinatal period were found, whereas the depressive profile showed to be the least stable. This prospective population-based cohort study is the first study to identify paternal perinatal depression profiles together with their predictors and changes during the perinatal period. Future research is warranted to examine whether the identified paternal depression profiles have differential outcomes, particularly in the context of person-centered prevention and intervention strategies. Further, longitudinal trajectories of paternal depression ought to be studied, taking into account additional measurement points as well as modifiable risk factors.

Latent trajectory classes of postpartum depressive symptoms: A regional population-based longitudinal study.

PURPOSE: This study aimed to (a) assess trajectories of women's depressive symptoms during the first year postpartum to (b) identify potential unobserved classes of women as defined by their trajectories, (c) identify antepartum and early postpartum risk factors associated with trajectory classes, and (d) examine the association between trajectory classes and counselling during the postpartum period. METHODS: Data on depressive symptoms, using the Edinburgh Postnatal Depression Scale (EPDS), were collected from 1374 women across nine Norwegian well-baby clinics at 1.5, 4, 6, and 12 months postpartum. Well-baby clinics offer universal, free services to all families living in the municipality. Thus, there were no specific exclusion criteria for this study. All clinics had implemented the Edinburgh-method which combines screening for PPD, using the EPDS, with supportive counselling. RESULTS: Analyses showed that depressive symptoms decreased initially, followed by a flattening in symptoms at 6 months. Mixture analyses, however, identified two classes of women with distinct trajectories; (1) a low-risk (n = 1249, 91%) and (2) a high-risk group (n = 119, 9%). Complications after birth, elevated prenatal depressive symptoms, previous or current mental illness, and gestational week, predicted trajectory class membership. Women in the high-risk group were more likely to receive counselling than low-risk women. LIMITATIONS: Women had higher educational level than the general population and one of the municipalities did not have a 12-months routine consultation. CONCLUSION: Findings suggest heterogeneity among women in their depressive symptoms during the first year postpartum with a distinct set of risk factors associated with high-risk women. This has implications for the prevention and follow-up of women during pregnancy and the first year after childbirth.

Evaluation of the implementation of an internet intervention in well-baby clinics: A pilot study.

PURPOSE: Despite promising results, internet interventions are not widely accessible or well-integrated in health services. The objective of this study was, therefore, to examine the implementation of an internet intervention ('Mamma Mia') for the prevention of perinatal depression in Norwegian well-baby clinics (i.e., primary care). METHODS: Mamma Mia begins in mid-pregnancy and lasts up to 6 months after childbirth. It consists of 44 online sessions, supported by midwives and public health nurses at up to 5 contact points during this period, following principles of empathic communication. Well-baby clinics offer free, universal services to all pregnant women and children aged 0 to 5 years in Norway and were recruited via an intermediary organization for this study. Data were collected at pre- and post-training, but before the delivery of Mamma Mia in clinics, and at 3 and 6 months follow-up. Quantitative and qualitative data were used to evaluate the training in Mamma Mia, examine program implementation (i.e., number of pregnant women registered for the program), and identify barriers and enablers of implementation. RESULTS: Twenty-four self-selected healthcare professionals from 14 well-baby clinics were recruited, for this study. Training increased participants' knowledge about Mamma Mia and exceeded their expectations. The program review and implementation plan were necessary training components. Implementation climate was related to the number of colleagues working with Mamma Mia and overall satisfaction with implementation, while characteristics of the intervention predicted the number of registered women at 6 months. Organizational re-structuring, leadership, and competing activities were identified as barriers to implementation that need to be considered further. CONCLUSIONS: The dissemination and implementation of a health-service supported internet intervention appears to be promising but requires further research.

An Internet-Based Intervention (Mamma Mia) for Postpartum Depression: Mapping the Development from Theory to Practice.

BACKGROUND: As much as 10-15% of new mothers experience depression postpartum. An Internet-based intervention (Mamma Mia) was developed with the primary aims of preventing depressive symptoms and enhancing subjective well-being among pregnant and postpartum women. A secondary aim of Mamma Mia was to ease the transition of becoming a mother by providing knowledge, techniques, and support during pregnancy and after birth. OBJECTIVE: The aim of the paper is to provide a systematic and comprehensive description of the intervention rationale and the development of Mamma Mia. METHODS: For this purpose, we used the intervention mapping (IM) protocol as descriptive tool, which consists of the following 6 steps: (1) a needs assessment, (2) definition of change objectives, (3) selection of theoretical methods and practical strategies, (4) development of program components, (5) planning adoption and implementation, and (6) planning evaluation. RESULTS: Mamma Mia is a fully automated Internet intervention available for computers, tablets, and smartphones, intended for individual use by the mother. It starts in gestational week 18-24 and lasts up to when the baby becomes 6 months old. This intervention applies a tunneled design to guide the woman through the program in a step-by-step fashion in accordance with the psychological preparations of becoming a mother. The intervention is delivered by email and interactive websites, combining text, pictures, prerecorded audio files, and user input. It targets risk and protective factors for postpartum depression such as prepartum and postpartum attachment, couple satisfaction, social support, and subjective well-being, as identified in the needs assessment. The plan is to implement Mamma Mia directly to users and as part of ordinary services at well-baby clinics, and to evaluate the effectiveness of Mamma Mia in a randomized controlled trial and assess users' experiences with the program. CONCLUSIONS: The IM of Mamma Mia has made clear the rationale for the intervention, and linked theories and empirical evidence to the contents and materials of the program. This meets the recent calls for intervention descriptions and may inform future studies, development of interventions, and systematic reviews.

Mamma mia: a feasibility study of a web-based intervention to reduce the risk of postpartum depression and enhance subjective well-being.

BACKGROUND: Currently, 10-15% of women giving birth suffer from symptoms of postpartum depression. Due to a lack of knowledge of this condition and the stigma associated with it, as well as few treatment options, a large proportion of postpartum women with depression remain untreated. Internet-based interventions have been found effective in treating depression, anxiety, phobias, and addictions. Hence, we developed such program ("Mamma Mia") with the aim of reducing the risk for postpartum depression and enhance subjective well-being. Mamma Mia is based on positive psychology, metacognitive therapy, and couples therapy. It starts in gestational week 22, and lasts until 6 months after birth. During pregnancy, Mamma Mia is delivered weekly (every Monday). After birth, Mamma Mia is delivered three times per week for six weeks. The remaining weeks, the program is delivered more sporadically. In total, Mamma Mia consists of 44 sessions. The program is individualized, interactive, and tunneled (ie, the user is guided through the program in a pre-determined manner). OBJECTIVE: The purpose of the present study was to pilot test the intervention in order to assess the feasibility and acceptance among program users. METHODS: The present paper reports a feasibility study that combined quantitative survey data with semi-structured interviews. Participants (N=103) were recruited via hospitals, well-baby clinics, and Facebook. Due to time constraint in completing the current study, our results were based on participation in one of the two phases: pregnancy or maternity. Participants in the pregnancy phase were surveyed 4 and 8 weeks after intervention enrollment, and participants in the postnatal phase were surveyed 2 and 4 weeks after intervention enrollment. The survey assessed perceived usefulness, ease-of-use, credibility, and unobtrusiveness. All measures were filled in by participants at both measurement occasions. Data were analyzed by running descriptives and frequencies with corresponding percentages. Binomial tests were carried out to investigate whether demographics differed significantly from a 50/50 distribution. Paired sample t tests were used to examine differences between time 1 and 2. Four participants were interviewed in the qualitative follow-up study, where they were given the opportunity to address and elaborate on similar aspects as assessed in the survey. RESULTS: More than two-thirds of users found Mamma Mia to be of high quality and would recommend Mamma Mia to others. By far, most also found the amount of information and frequency of the intervention schedule to be appropriate. Mamma Mia was perceived as a user-friendly and credible intervention. CONCLUSIONS: Overall, the user acceptance of Mamma Mia was good and our findings add to the feasibility of the program. The effect of Mamma Mia on depression and subjective well-being will be evaluated in a large randomized controlled trial, and if found to be effective, Mamma Mia could serve as a low-threshold prevention program.