Using Smartphone-Based Psychoeducation to Reduce Postnatal Depression Among First-Time Mothers: Randomized Controlled Trial

Effect of eHealth interventions on perinatal depression: A meta-analysis

BACKGROUND

Perinatal depression (PND) is a common mental health problem, and eHealth interventions may provide a strategy for alleviating PND.

AIM

This meta-analysis aimed to determine the effect of eHealth interventions on PND.

METHODS

Six databases were searched to retrieve published randomized controlled trials (RCTs) on the effect of eHealth interventions on PND. A meta-analysis was performed on the data of these studies using a random effects model.

RESULTS

A total of 21 RCTs were included in the meta-analysis, which revealed that eHealth interventions significantly reduced antenatal depression (WMD = -1.64, 95 % CI [-2.92, -0.35], P = .013), postpartum depression (SMD = -0.41, 95 % CI [-0.52, -0.29], P < .001), anxiety (SMD = -0.39, 95 % CI [-0.51, -0.28], P < .001), stress (WMD = -2.93, 95 % CI [-4.58, -1.27], P = .001), and improved self-efficacy (SMD = 0.42, 95 % CI [0.21, 0.63], P < .001) compared with the control group. However, eHealth interventions did not significantly improve social support (SMD = 0.27, 95 % CI [-0.01, 0.56], P = .058). For antenatal depression, significant subgroup differences were observed in the digital platform and material presentation format. In addition, for postpartum depression, significant subgroup differences were found in the type of therapy.

CONCLUSIONS

The meta-analysis results suggest that eHealth interventions can relieve depression, anxiety, and stress symptoms and improve self-efficacy in perinatal women. However, these interventions did not improve social support. Additional high-quality studies on eHealth interventions in PND are needed to validate these results.

Impact of mHealth interventions on maternal, newborn, and child health from conception to 24 months postpartum in low- and middle-income countries: a systematic review

BACKGROUND

Mobile health (mHealth) technologies have been harnessed in low- and middle-income countries (LMICs) to address the intricate challenges confronting maternal, newborn, and child health (MNCH). This review aspires to scrutinize the effectiveness of mHealth interventions on MNCH outcomes during the pivotal first 1000 days of life, encompassing the period from conception through pregnancy, childbirth, and post-delivery, up to the age of 2 years.

METHODS

A comprehensive search was systematically conducted in May 2022 across databases, including PubMed, Cochrane Library, Embase, Cumulative Index to Nursing & Allied Health (CINAHL), Web of Science, Scopus, PsycINFO, and Trip Pro, to unearth peer-reviewed articles published between 2000 and 2022. The inclusion criteria consisted of (i) mHealth interventions directed at MNCH; (ii) study designs, including randomized controlled trials (RCTs), RCT variations, quasi-experimental designs, controlled before-and-after studies, or interrupted time series studies); (iii) reports of outcomes pertinent to the first 1000 days concept; and (iv) inclusion of participants from LMICs. Each study was screened for quality in alignment with the Cochrane Handbook for Systematic Reviews of Interventions and the Joanne Briggs Institute Critical Appraisal tools. The included articles were then analyzed and categorized into 12 mHealth functions and outcome domain categories (antenatal, delivery, and postnatal care), followed by forest plot comparisons of effect measures.

RESULTS

From the initial pool of 7119 articles, we included 131 in this review, comprising 56 RCTs, 38 cluster-RCTs, and 37 quasi-experimental studies. Notably, 62% of these articles exhibited a moderate or high risk of bias. Promisingly, mHealth strategies, such as dispatching text message reminders to women and equipping healthcare providers with digital planning and scheduling tools, exhibited the capacity to augment antenatal clinic attendance and enhance the punctuality of child immunization. However, findings regarding facility-based delivery, child immunization attendance, and infant feeding practices were inconclusive.

CONCLUSIONS

This review suggests that mHealth interventions can improve antenatal care attendance and child immunization timeliness in LMICs. However, their impact on facility-based delivery and infant feeding practices varies. Nevertheless, the potential of mHealth to enhance MNCH services in resource-limited settings is promising. More context-specific implementation studies with rigorous evaluations are essential.

Feasibility and Acceptability of a Mobile App-Based TEAM-CBT (Testing Empathy Assessment Methods-Cognitive Behavioral Therapy) Intervention (Feeling Good) for Depression: Secondary Data Analysis

BACKGROUND

The Feeling Good App is an automated stand-alone digital mobile mental health tool currently undergoing beta testing with the goal of providing evidence-informed self-help lessons and exercises to help individuals reduce depressive symptoms without guidance from a mental health provider. Users work through intensive basic training (IBT) and ongoing training models that provide education regarding cognitive behavioral therapy principles from a smartphone.

OBJECTIVE

The key objective of this study was to perform a nonsponsored third-party academic assessment of an industry-generated data set; this data set focused on the safety, feasibility, and accessibility of a commercial automated digital mobile mental health app that was developed to reduce feelings associated with depression.

METHODS

The Feeling Good App development team created a waitlist cohort crossover design and measured symptoms of depression and anxiety using the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and an app-specific measure of negative feelings called the 7 Dimension Emotion Slider (7-DES). The waitlist cohort crossover design divided the participants into 2 groups, where 48.6% (141/290) of the participants were given immediate access to the apps, while 51.4% (149/290) were placed on a 2-week waitlist before being given access to the app. Data collected by the Feeling Good App development team were deidentified and provided to the authors of this paper for analysis through a nonsponsored university data use agreement. All quantitative data were analyzed using SPSS Statistics (version 28.0; IBM Corp). Descriptive statistics were calculated for demographic variables. Feasibility and acceptability were descriptively assessed. All participants included in the quantitative data were given access to the Feeling Good App; this study did not include a control group.

RESULTS

In terms of safety, there was no statistically significant change in suicidality from preintervention to postintervention time points (t288=0.0; P>.99), and there was a statistically significant decrease in hopelessness from preintervention to postintervention time points (F289=30.16; P<.01). In terms of acceptability, 72.2% (166/230) of the users who started the initial 2-day IBT went on to complete it, while 34.8% (80/230) of the users who started IBT completed the entirety of the apps' 4-week protocol (150/230, 65.22% dropout rate over 4 weeks).

CONCLUSIONS

This study is the first reported proof-of-concept evaluation of the Feeling Good App in terms of safety, feasibility, and statistical trends within the data set. It demonstrates a feasible and novel approach to industry and academic collaboration in the process of developing a digital mental health technology translated from an existing evidence-informed treatment. The results support the prototype app as safe for a select nonclinical population. The app had acceptable levels of engagement and dropouts throughout the intervention. Those who stay engaged showed reductions in symptom severity of depression warranting further investigation of the app's efficacy.

Effectiveness of a web-enabled psychoeducational resource for postpartum depression and anxiety among women in British Columbia

PURPOSE

Postpartum depression (PPD) and anxiety (PPA) affect nearly one-quarter (23%) of women in Canada. eHealth is a promising solution for increasing access to postpartum mental healthcare. However, a user-centered approach is not routinely taken in the development of web-enabled resources, leaving postpartum women out of critical decision-making processes. This study aimed to evaluate the effectiveness, usability, and user satisfaction of PostpartumCare.ca, a web-enabled psychoeducational resource for PPD and PPA, created in partnership with postpartum women in British Columbia.

METHODS

Participants were randomized to either an intervention group (n = 52) receiving access to PostpartumCare.ca for four weeks, or to a waitlist control group (n = 51). Measures evaluating PPD (Edinburgh Postnatal Depression Scale) and PPA symptoms (Perinatal Anxiety Screening Scale) were completed at baseline, after four weeks, and after a two-week follow-up. User ratings of website usability and satisfaction and website metrics were also collected.

RESULTS

PPD and PPA symptoms were significantly reduced for the intervention group only after four weeks, with improvements maintained after a two-week follow-up, corresponding with small-to-medium effect sizes (PPD: partial η2 = 0.03; PPA: partial η2 = 0.04). Intervention participants were also more likely than waitlist controls to recover from clinical levels of PPD symptoms (χ 2 (1, n = 63) = 4.58, p = .032) and PostpartumCare.ca's usability and satisfaction were rated favourably overall.

CONCLUSION

Findings suggest that a web-enabled psychoeducational resource, created in collaboration with patient partners, can effectively reduce PPD and PPA symptoms, supporting its potential use as a low-barrier option for postpartum women.

TRIAL REGISTRATION

Protocol for this trial was preregistered on NIH U.S. National Library of Medicine, ClinicalTrials.gov as of May 2022 (ID No. NCT05382884).

Evaluation of Parents' Use of a Child Health Care Information App and Their Health Literacy: Cross-Sectional Study

Background

Recently, digital media, including internet websites and smartphone apps, have become popular resources for parents in searching for child health care information. Higher health literacy among parents in obtaining adequate health care information and making proper decisions may lead to improved child health outcomes and a reduction in the burden on health care professionals. However, few studies have examined the association between the provision of child health care information apps and parents' health literacy.

Objective

This study aims to evaluate whether parents' use of an app that provides child health care information is associated with their health care knowledge, their health literacy, and emergency room visits for their children.

Methods

Participants were recruited during checkups for their 1.5-year-old children at health centers within Saku City in 2022. Parents who agreed to participate were included in this study; individuals were excluded if they were not the mother or father of the child or did not have a smartphone. Participants were asked if they had used the Oshiete-Doctor app, which was distributed by Saku City free of charge to improve the home nursing skills of parents and guardians. Sociodemographic data of parents and children, data on health care knowledge about children, data on the frequency of emergency room visits in the past 6 months, and health literacy scores (HLSs) of parents (measured with the HLS-EU-Q47 [European Health Literacy Survey Questionnaire]) were collected from participants in this cross-sectional survey. Univariable and multivariable analyses were conducted to examine the associations of app use with health care knowledge, health literacy, and emergency room visits.

Results

In total, 251 respondents completed the survey (response rate: 251/267, 94%). Although the proportion of health care workers was significantly higher among app users than among non-app users (P=.005), no other participant attributes were significantly associated with the use of the app. The proportions of participants with higher health care knowledge and participants with higher total HLSs were significantly higher among app users than among non-app users (P=.001 and P=.003, respectively). After adjusting for potentially confounding covariates, these proportions were still significantly higher among app users than among non-app users (P=.02 and P=.007, respectively). Emergency room visits were significantly more frequent among app users than among non-app users (P=.007) in the univariable analysis, but the association was not significant (P=.07) after adjusting for sociodemographic variables.

Conclusions

This study showed a significant association between parents' use of a child health care information app and higher child health care knowledge and health literacy. The use of the app may lead to more appropriate health decisions and behaviors in children's health care. Future studies are needed to evaluate the association between app use and emergency room visits.

App-based intervention for parents of children with crying, sleeping, and feeding problems: Usability, usefulness and implications for improvement

Background

There is a lack of evidence-based app guidance for parents of children with crying, sleeping, and feeding problems who are often highly burdened and not likely to seek professional help. A new psychoeducational app for parents providing scientifically sound information via text and videos, a diary function, selfcare strategies, a chat forum and a regional directory of specialized counseling centers may serve as a low-threshold intervention for this target group.

Objective

We investigated how parents perceived the app in terms of the following: (1) overall impression and usability, (2) feedback on specific app functions regarding usefulness and (3) possible future improvements.

Methods

Our clinical sample of N = 137 parents of children aged from 0 to 24 months was recruited from a cry baby outpatient clinic in Southern Germany between 2019 and 2022. A convergent parallel mixed methods design was used to collect and analyse cross-sectional data on app evaluation. After app use within the framework of a clinical trial, parents filled in an app evaluation questionnaire.

Results

Most participants used the app at least once a week (86, 62.8 %) over an average period of 19.06 days (SD = 15.00). Participants rated overall impression and usability as good, and the informational texts, expert videos and regional register of counseling centers as appealing and useful. The diary function and chat forum were found to be helpful in theory, but improvements in implementation were requested, such as a timer function for the diary entry. Regarding future functionality, parents posed several suggestions such as the option to contact counseling centers directly via app, and the inclusion of the profile of their partners.

Conclusions

Positive ratings of overall impression, usability, and specific app functions are important prerequisites for the app to be effective. App-based guidance for this target group should include easy-to-use information. The app is intended to serve as a secondary preventive low-threshold offer and to complement professional counseling.

Efficacy of in-person versus digital mental health interventions for postpartum depression: meta-analysis of randomized controlled trials

AIM

This meta-analysis aimed to compare the efficacy of in-person and digital mental health interventions in addressing Postpartum Depression.

METHODS

Following PRISMA guidelines, the protocol for this meta-analysis was registered at the Open Science Framework (Retrieved from osf.io/wy3s4). This meta analysis included Randomized Controlled Trials (RCTs) conducted between 2013 and 2023. A comprehensive literature search identified 35 eligible RCTs from various electronic databases. Inclusion criteria focused on pregnant women over 18 years old, encompassing antenatal depression and up to two years postpartum. Diagnostic interviews or Edinburgh Postnatal Depression Scale (EPDS) were used to establish PPD. Digital interventions included telephonic, app-based, or internet-based approaches, while in-person interventions involved face-to-face sessions.

RESULTS

The meta-analysis revealed a moderate overall effect size of -0.69, indicating that psychological interventions are effective for PPD. Digital interventions (g = -0.86) exhibited a higher mean effect size than in-person interventions (g = -0.55). Both types of interventions displayed substantial heterogeneity (digital: I2 = 99%, in-person: I2 = 92%), suggesting variability in intervention content, delivery methods, and participant characteristics.

CONCLUSION

Digital mental health interventions show promise in addressing PPD symptoms, with a potentially greater effect size compared to in-person interventions. However, the high heterogeneity observed in both modalities underscores the need for further research to identify key drivers of success and tailor interventions to diverse populations. Additionally, the choice between digital and in-person interventions should consider individual needs and preferences. Ongoing research should further investigate and optimise intervention modalities to better serve pregnant women at risk of PPD.

Willingness to pay for health apps, its sociodemographic correlates, and reasons for being unwilling to pay

Background

Knowledge about whether, how much, and why individuals are willing to pay for health apps is limited.

Objectives

This study aimed to examine (1) the proportion of individuals willing to pay for health apps, (2) their willingness to pay (WTP; i.e. the maximum price the individual is willing to pay) for health apps, (3) the sociodemographic correlates determining whether individuals are willing to pay for these apps, (4) the sociodemographic correlates of their WTP, and (5) reasons for being unwilling to pay.

Methods

Six hundred adults were invited to participate in a questionnaire survey examining their sociodemographic characteristics, WTP for health apps, and reasons for being unwilling to pay. Sociodemographic characteristics and WTP for health apps were analyzed using descriptive statistics. Logistic regression was applied to examine the sociodemographic variables correlated with whether individuals were willing to pay for health apps. Among those who were willing to pay, log-linear regression was conducted to examine the sociodemographic correlates of their WTP. The reasons for unwillingness to pay were descriptively analyzed.

Results

A total of 577 individuals completed the questionnaire. Of them, 58.9% were willing to pay for health apps. Their median WTP was HK$50 (HK$1 ≈ US$0.13). Participants with a bachelor's degree or higher and those who had previously installed health apps were more inclined to pay for health apps. WTP was positively associated with the maximum price previously paid for a health app. The most frequently cited reasons for being unwilling to pay were the belief that the government should provide free health apps, distrust in health apps, and a lack of awareness of health apps and their benefits.

Conclusions

This study provides insights that can inform strategies to enhance the marketability, affordability, and accessibility of health apps.

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

OBJECTIVE

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

DATA SOURCES

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

STUDY ELIGIBILITY REQUIREMENTS

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

STUDY APPRAISAL AND SYNTHESIS METHODS

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

RESULTS

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

CONCLUSION

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

Mobile Prenatal Education and Its Impact on Reducing Adverse Pregnancy Outcomes: Retrospective Real-World Study

BACKGROUND

Pregnancy is a pivotal phase in a woman's life, demanding special attention to ensure maternal and fetal health. Prenatal education plays a vital role in promoting healthy pregnancies and reducing adverse outcomes for pregnant women. Mobile prenatal education programs have gained traction due to their accessibility and timeliness, especially in light of finite health care resources and the constraints imposed by the COVID-19 pandemic.

OBJECTIVE

This study aims to develop and evaluate the effectiveness of a mobile-based prenatal education program in improving pregnancy outcomes.

METHODS

We developed a mobile-based prenatal education curriculum in collaboration with a multidisciplinary maternal care team from Peking Union Medical College Hospital (PUMCH) in Beijing, China. Data were retrospectively collected from 1941 pregnant women who had registered for the PUMCH mobile prenatal education program and subsequently delivered at PUMCH between May 2021 and August 2022. The study compared pregnancy outcomes between the completing group, which were pregnant women who had completed at least 1 course, and the noncompleting group. We also analyzed differences among course topics within the completing group and assessed course topic popularity among pregnant women.

RESULTS

The PUMCH mobile prenatal education curriculum consists of 436 courses across 9 topics. Out of the participants, a total of 1521 did not complete any courses, while 420 completed at least 1 course. Compared with the noncompleting group, pregnant women who completed courses exhibited a significant reduction in the risk of gestational diabetes mellitus, induced abortion, postpartum infection, fetal intrauterine distress, and neonatal malformation. Among those in the completing group, a total of 86% (361/420) started course completion during the first and second trimesters. Furthermore, completing courses related to topics of pregnancy psychology and pregnancy nutrition was associated with reduced risks of premature rupture of membranes and small for gestational age infants, respectively. Pregnancy psychology and postpartum recovery were the preferred topics among pregnant women.

CONCLUSIONS

The study demonstrates the potential of mobile-based prenatal education programs in improving pregnancy outcomes and supporting health care providers in delivering effective prenatal education. The rise of mobile prenatal education presents an opportunity to improve maternal and child health outcomes. Further research and broader implementation of such programs are warranted to continually improve maternal and child health.

Equitable reach: Patient and professional recommendations for interventions to prevent perinatal depression and anxiety

OBJECTIVE

Perinatal depression and anxiety are the most common complications in the perinatal period and disproportionately affect those experiencing economic marginalization. Fewer than 15% of individuals at risk for perinatal depression are referred for preventative counseling. The goal of this study was to elicit patient and perinatal care professionals' perspectives on how to increase the reach of interventions to prevent perinatal depression and anxiety among economically marginalized individuals.

METHODS

We conducted qualitative interviews with perinatal individuals with lived experience of perinatal depression and/or anxiety who were experiencing economic marginalization (n = 12) and perinatal care professionals and paraprofessionals (e.g., obstetrician/gynecologists, midwives, doulas; n = 12) serving this population. Three study team members engaged a "a coding consensus, co-occurrence, and comparison," approach to code interviews.

RESULTS

Perinatal individuals and professionals identified prevention intervention delivery approaches and content to facilitate equitable reach for individuals who are economically marginalized. Factors influential included availability of mental health counselors, facilitation of prevention interventions by a trusted professional, digital health options, and options for mental health intervention delivery approaches. Content that was perceived as increasing equitable intervention reach included emphasizing stigma reduction, using cultural humility and inclusive materials, and content personalization.

CONCLUSIONS

Leveraging varied options for mental health intervention delivery approaches and content could reach perinatal individuals experiencing economic marginalization and address resource considerations associated with preventative interventions.

Piloting a prenatal care smartphone application and care navigation intervention at a federally qualified health center

BACKGROUND

Given that smartphones are widely used among reproductive-age people of all socioeconomic backgrounds, a smartphone application may be a useful supplement to routine prenatal care.

OBJECTIVE

This study aimed to describe the implementation of a smartphone app that offers patient education, depression screening, social determinants of health screening, and care coordination as an adjunct to routine prenatal care at a federally qualified health center. We further sought to characterize app engagement and the association of app use with pregnancy outcomes.

STUDY DESIGN

The implementation of the smartphone app was a quality improvement initiative in which the app was made available to all people receiving prenatal care at a designated federally qualified health center between December 2020 and December 2021. Individuals who both initiated prenatal care at this site before 28 weeks of gestation and delivered at our institution during the above-defined period were studied retrospectively after obtaining institutional approval. Summary statistics were used to describe app implementation and information regarding social determinants of health and depression screening. Demographics and maternal and neonatal outcomes were compared between app enrollees and patients receiving prenatal care at the same site who were not enrolled in the app. Data were analyzed using the 2-sample t test to compare continuous variables and the chi-square test to compare categorical variables.

RESULTS

Overall, 800 patients receiving prenatal care at the federally qualified health center during the identified period were telephonically approached for enrollment in the smartphone app. A total of 613 people (76.6%) were successfully reached, and of those successfully reached, 538 (87.7%) accepted enrollment in the app; 76.6% of app enrollees (n=412) completed at least 1 social determinants of health screen. Of those, 29.1% (n=120) screened positive for at least 1 need. Of those with positive screens, 51.7% (n=62) accepted referral to resources to address the identified need. Furthermore, 81% of app enrollees (n=443) completed at least 1 depression screen. Of those, 13.1% (n=58) screened positive for depression, and 37.9% (n=22) of those with positive screens accepted a referral to behavioral health services. A total of 483 people met the inclusion criteria for retrospective review: 264 were enrolled in the smartphone app and 219 were not. App enrollees were more likely to speak English (79.9% of app group vs 61.6% of the non-app group; P<.0001), identify as Hispanic (52.7% vs 39.7%; P=.02), and be privately insured (24.6% vs 15.5%; P=.005), and less likely to have a social determinants of health-related need (10.0% vs 21.0%; P=.01). There were no significant differences in mode of delivery or maternal and neonatal outcomes between the 2 groups.

CONCLUSION

A high proportion of patients receiving care through our federally qualified health center enrolled in and used the smartphone app and its associated care coordination. This could be a useful tool to screen for depression and adverse social determinants of health in underserved communities. Given that individuals of higher-resource backgrounds seem more likely to enroll in smartphone apps, a more targeted approach is needed to help connect patients of lower-resource backgrounds to smartphone apps and the resources that they offer.

Consumers' Preferences for Purchasing mHealth Apps: Discrete Choice Experiment

Background

There is growing interest in mobile health apps; however, not all of them have been successful. The most common issue has been users' nonadoption or abandonment of health apps because the app designs do not meet their preferences. Therefore, to facilitate design-preference fit, understanding consumers' preferences for health apps is necessary, which can be accomplished by using a discrete choice experiment.

Objective

This study aims to examine consumer preferences for health apps and how these preferences differ across individuals with different sociodemographic characteristics and health app usage and purchase experiences.

Methods

A cross-sectional discrete choice experiment questionnaire survey was conducted with 593 adults living in Hong Kong. A total of 7 health app attributes that might affect consumers' preferences for health apps were examined, including usefulness, ease of use, security and privacy, health care professionals' attitudes, smartphone storage consumption, mobile data consumption, and cost. Mixed-effect logit regressions were used to examine how these attributes affected consumer preferences for health apps. Fixed effects (coefficient β) of the attributes and random effects of individual differences were modeled. Subgroup analyses of consumer preferences by sex, age, household income, education level, and health app usage and purchase experiences were conducted.

Results

Cost was the attribute that had the greatest effect on consumers' choice of health apps (compared to HK $10 [US $1.27]-HK $50 [US $6.37]: β=-1.064; P<.001; HK $100 [US $12.75]: β=-2.053; P<.001), followed by security and privacy (compared to no security insurance-some security policies: β=.782; P<.001; complete security system: β=1.164; P<.001) and usefulness (compared to slightly useful-moderately useful: β=.234; P<.001; very useful: β=.979; P=.007), mobile data consumption (compared to data-consuming-a bit data-consuming: β=.647; P<.001; data-saving: β=.815; P<.001), smartphone storage consumption (compared to >100 MB-around 38 MB: β=.334; P<.001; <10 MB: β=.511; P<.001), and attitudes of health care professionals (compared to neutral-moderately supportive: β=.301; P<.001; very supportive: β=.324; P<.001). In terms of ease of use, consumers preferred health apps that were moderately easy to use (compared to not easy to use-moderately easy to use: β=.761; P<.001; very easy to use: β=.690; P<.001). Our results also showed that consumers with different sociodemographic characteristics and different usage and purchase experiences with health apps differed in their preferences for health apps.

Conclusions

It is recommended that future health apps keep their mobile data and phone storage consumption low, include a complete security system to protect personal health information, provide useful content and features, adopt user-friendly interfaces, and involve health care professionals. In addition, health app developers should identify the characteristics of their intended users and design and develop health apps to fit the preferences of the intended users.

The Effect of Digital Mindfulness Interventions on Depressive, Anxiety, and Stress Symptoms in Pregnant Women: A Systematic Review and Meta-Analysis

Introduction. Pregnancy is a unique time in a woman's life that can be both exciting and challenging. It is also a period that can be associated with significant stress, anxiety, and depression, which can have negative consequences for both the mother and the baby. Mindfulness interventions are known to be a well-suited treatment and prevention method for psychiatric symptoms in pregnancy, and web-based applications have been explored. We here present an up-to-date systematic review and meta-analysis of randomized-controlled trials to investigate the effect of digital-based mindfulness interventions on depressive, anxiety, and stress symptoms during pregnancy. Methods. The systematic literature search and data extraction was performed by two independent raters. It resulted in 13 eligible studies overall comprising 1373 participants. We conducted random-effects meta-analyses for depressive, anxiety, and stress symptoms after completion of a digital mindfulness intervention (compared to a control group). Results. Digital mindfulness intervention methods were significantly able to reduce depression (g = -0.47, 95% CI [-0.9; -0.09]) and anxiety symptoms (g = -0.41, 95% CI [-0.77; -0.05]), but not stress symptoms. These effects were moderated by the attrition rate (βDepression = 0.025, pDepression < 0.01; βAnxiety = 0.022, pAnxiety < 0.01; βStress = 0.022, pStress < 0.01). Primiparity also had a significant influence on the intervention effect regarding depression symptoms (β = 0.033, p = 0.024). Conclusions. Digital mindfulness interventions are a promising method to reduce mental health symptoms in pregnant women. We identified certain parameters moderating this effect, for example, primiparity and the attrition rate.

Effectiveness of mHealth consultation services for preventing postpartum depressive symptoms: a randomized clinical trial

BACKGROUND

Although many conventional healthcare services to prevent postpartum depression are provided face-to-face, physical and psychosocial barriers remain. These barriers may be overcome by using mobile health services (mHealth). To examine the effectiveness of mHealth professional consultation services in preventing postpartum depressive symptoms in real-world settings, we conducted this randomized controlled trial in Japan, where universal free face-to-face perinatal care is available.

METHODS

This study included 734 pregnant women living in Yokohama city who could communicate in Japanese, recruited at public offices and childcare support facilities. The participants were randomized to the mHealth group (intervention, n = 365), where they could use a free app-based mHealth consultation service with gynecologists/obstetricians, pediatricians, and midwives whenever and as many times as they wanted between 6 p.m. and 10 p.m. on weekdays throughout their pregnancy and postpartum periods (funded by the City of Yokohama government) or the usual care group (control, n = 369). The primary outcome was the risk of elevated postpartum depressive symptoms, defined as Edinburgh Postnatal Depression Scale score ≥ 9. Secondary outcomes were self-efficacy, loneliness, perceived barriers to healthcare access, number of clinic visits, and ambulance usage. All outcomes were collected three months post-delivery. We also conducted subgroup analyses assessing the differences in the treatment effect by sociodemographic status.

RESULTS

Most women completed all questionnaires (n = 639 of 734, response rate: 87%). The mean baseline age was 32.9 ± 4.2 years, and 62% were primipara. Three months post-delivery, women in the mHealth group had a lower risk of elevated postpartum depressive symptoms (47/310 [15.2%]) compared to the usual care group (75/329 [22.8%], risk ratio: 0.67 [95% confidence interval: 0.48-0.93]). Compared with the usual care group, women in the mHealth group had higher self-efficacy, less loneliness, and fewer perceived barriers to healthcare access. No differences were observed in the frequency of clinic visits or ambulance usage. Furthermore, in the subgroup analyses, we did not find differences in the treatment effect by sociodemographic status.

CONCLUSIONS

Local government-funded mHealth consultation services have a preventive effect on postpartum depressive symptoms, removing physical and psychological barriers to healthcare access in real-world settings.

TRIAL REGISTRATION

UMIN-CTR identifier: UMIN000041611. Registered 31 August 2021.

App-based interventions for the prevention of postpartum depression: a systematic review and meta-analysis

BACKGROUND

This study explored whether psychosocial intervention applications (apps) are effective in preventing postpartum depression.

METHODS

We conducted an initial article search on 26 March 2020, and the updated search on 17 March 2023 on the electronic databases of the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE via Ovid, Scopus, PsycINFO, CINAHL, and ProQuest Dissertations & Theses A&I. Furthermore, we searched the International Clinical Trials Platform Search Portal (ICTRP), and Clinical Trials.

RESULTS

We identified 2515 references, and sixteen studies were ultimately included in this review. We conducted a meta-analysis of two studies on the onset of postpartum depression. There were no significant differences between the intervention and control groups (RR 0.80; 95% CI 0.62 to 1.04; P = 0.570). We performed a meta-analysis of the Edinburgh Postnatal Depression Scale (EPDS). The intervention group had significantly lower EPDS scores than the control group (mean difference -0.96; 95% CI -1.44 to -0.48; P < 0.001, I2 = 82%, Chi² = 62.75, P < 0.001; high heterogeneity).

CONCLUSION

This study presents the results of current RCTs on interventions with apps, including an app with an automated psychosocial component for preventing postpartum depression that has been conducted. These apps improved the EPDS score; furthermore, they may prevent postpartum depression.

Mental health-related telemedicine interventions for pregnant women and new mothers: a systematic literature review

BACKGROUND

Pregnancy and the postpartum period are times when women are at increased risk for depression and mental problems. This may also negatively affect the foetus. Thus, there is a need for interventions with low-threshold access and care. Telemedicine interventions are a promising approach to address these issues. This systematic literature review examined the efficacy of telemedicine interventions for pregnant women and/or new mothers to address mental health-related outcomes. The primary objective was to analyse whether telemedicine interventions can reduce mental health problems in pregnant women and new mothers. The secondary aim was to clarify the impact of type of interventions, their frequency and their targets.

METHODS

Inclusion criteria: randomized controlled trials, with participants being pregnant women and/or new mothers (with infants up to twelve months), involving telemedicine interventions of any kind (e.g. websites, apps, chats, telephone), and addressing any mental health-related outcomes like depression, postnatal depression, anxiety, stress and others. Search terms were pregnant women, new mothers, telemedicine, RCT (randomised controlled trials), mental stress as well as numerous synonyms including medical subject headings. The literature search was conducted within the databases PubMed, Cochrane Library, Web of Science and PsycINFO. Screening, inclusion of records and data extraction were performed by two researchers according to the PRISMA guidelines, using the online tool CADIMA.

RESULTS

Forty four articles were included. A majority (62%) reported significantly improved mental health-related outcomes for participants receiving telemedicine interventions compared to control. In particular (internet-delivered) Cognitive Behavioural Therapy was successful for depression and stress, and peer support improved outcomes for postnatal depression and anxiety. Interventions with preventive approaches and interventions aimed at symptom reduction were largely successful. For the most part there was no significant improvement in the symptoms of anxiety.

CONCLUSION

Telemedicine interventions evaluated within RCTs were mostly successful. However, they need to be designed to specifically target a certain mental health issue because there is no one-size-fits-all approach. Further research should focus on which specific interventions are appropriate for which mental health outcomes in terms of intervention delivery modes, content, target approaches, etc. Further investigation is needed, in particular with regard to anxiety.

Impact of Mobile Technology-Enhanced Follow-Up Program for Mothers with New-Born Babies on Mothers' Anxiety, Self-Efficacy, and Infant Health

To explore the effects of mobile technology-enhanced interventions on mothers' self-efficacy, anxiety, and infant health. Quasi-experimental study. The intervention group (n=30) received mobile technology-enhanced nursing care, whereas the control group (n=30) used the hospital's routine maintenance services. Mothers' self-efficacy significantly improved, and anxiety and infant health problems (poor sucking, umbilical cord infection, and skin lesions) significantly decreased (p<0.05) in the intervention group. Mobile technology-enhanced nursing care improved self-efficacy, decreased mothers' anxiety levels, and reduced infant health problems. Mobile technology-enhanced nursing care can be integrated into clinical practice to improve maternal and infant health.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

TRIAL REGISTRATION

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

Association Between Smartphone Applications for Pregnant Women and Psychological Distress in Japan

The current study investigated pregnant women's use of pregnancy applications (apps) and how these apps affect their mental health. A questionnaire was administered in the outpatient obstetrics and gynecology department at a university hospital. Of 110 pregnant women included in the analysis, 97 had downloaded and used pregnancy apps and believed that these were either helpful or a little helpful. Among the 110 respondents, 20 (18.2%) women were identified as having psychological distress. Thus, the percentage of women with psychological distress who downloaded pregnancy apps was significantly lower than women in the mentally healthy group. Non-use of pregnancy apps was strongly associated with psychological distress, indicating that pregnancy apps improve pregnant women's mental health. Alternatively, non-use of apps could arise from deteriorated mental health, causing reduced energy or inclination to use these apps. Screening for good mental health among pregnant women is important; non-use of pregnancy apps may indicate risk of mental health deterioration among pregnant women. [Journal of Psychosocial Nursing and Mental Health Services, 61(1), 32-38.].

Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis

Background

Despite the great potential of eHealth, substantial costs are involved in its implementation, and it is essential to know whether these costs can be justified by its benefits. Such needs have led to an increased interest in measuring the benefits of eHealth, especially using the willingness to pay (WTP) metric as an accurate proxy for consumers’ perceived benefits of eHealth. This offered us an opportunity to systematically review and synthesize evidence from the literature to better understand WTP for eHealth and its influencing factors.

Objective

This study aimed to provide a systematic review of WTP for eHealth and its influencing factors.

Methods

This study was performed and reported as per the Cochrane Collaboration and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. PubMed, CINAHL Plus, Cochrane Library, EconLit, and PsycINFO databases were searched from their inception to April 19, 2022. We conducted random-effects meta-analyses to calculate WTP values for eHealth (at 2021 US dollar rates) and meta-regression analyses to examine the factors affecting WTP.

Results

A total of 30 articles representing 35 studies were included in the review. We found that WTP for eHealth varied across studies; when expressed as a 1-time payment, it ranged from US $0.88 to US $191.84, and when expressed as a monthly payment, it ranged from US $5.25 to US $45.64. Meta-regression analyses showed that WTP for eHealth was negatively associated with the percentages of women (β=−.76; P<.001) and positively associated with the percentages of college-educated respondents (β=.63; P<.001) and a country’s gross domestic product per capita (multiples of US $1000; β=.03; P<.001). Compared with eHealth provided through websites, people reported a lower WTP for eHealth provided through asynchronous communication (β=−1.43; P<.001) and a higher WTP for eHealth provided through medical devices (β=.66; P<.001), health apps (β=.25; P=.01), and synchronous communication (β=.58; P<.001). As for the methods used to measure WTP, single-bounded dichotomous choice (β=2.13; P<.001), double-bounded dichotomous choice (β=2.20; P<.001), and payment scale (β=1.11; P<.001) were shown to obtain higher WTP values than the open-ended format. Compared with ex ante evaluations, ex post evaluations were shown to obtain lower WTP values (β=−.37; P<.001).

Conclusions

WTP for eHealth varied significantly depending on the study population, modality used to provide eHealth, and methods used to measure it. WTP for eHealth was lower among certain population segments, suggesting that these segments may be at a disadvantage in terms of accessing and benefiting from eHealth. We also identified the modalities of eHealth that were highly valued by consumers and offered suggestions for the design of eHealth interventions. In addition, we found that different methods of measuring WTP led to significantly different WTP estimates, highlighting the need to undertake further methodological explorations of approaches to elicit WTP values.

Effectiveness of mobile application-based perinatal interventions in improving parenting outcomes: A systematic review

Objective

Parents face many challenges during the perinatal period and are at risk for mental health issues, especially during the current coronavirus (COVID-19) pandemic. Mobile application-based interventions can help parents to improve their psychosocial well-being in a convenient and accessible manner. This review aims to examine the effectiveness of mobile application-based perinatal interventions in improving parenting self-efficacy, anxiety, and depression (primary outcomes), as well as stress, social support, and parent-child bonding (secondary outcomes) among parents.

Methods

Seven electronic databases (PubMed, Embase, CINAHL, PsycINFO, Web of Science, Scopus, and ProQuest Thesis and Dissertations) were searched from their respective inception dates until August 2021. The Cochrane Risk of Bias-2 tool was used to conduct quality appraisals. Results were narratively synthesized due to the high heterogeneity of intervention and participant types.

Findings

A total of 6164 articles were retrieved from the seven electronic databases and citation searching. After excluding duplicate records and irrelevant titles/abstracts, 105 full texts were examined. Full-text screening excluded another 93 articles, leaving 12 included studies in this review. All studies were rated as having some concerns or a high overall risk of bias. Mobile application-based interventions were found to be feasible and promising in improving parents’ overall well-being post-intervention during the perinatal period. Further research would be needed to determine their long-term effects.

Key conclusions and implications for practice

Parental well-being was shown to improve using the following intervention components: educational resources on perinatal and infant care, psychotherapy, and support from peers and healthcare professionals. Hence, future interventions could aim to include these components and evaluate all inter-related parenting outcomes (parenting self-efficacy, stress, anxiety, depression, social support, and parent-child bonding). Parents could be provided with experiential learning exposure by using computer animations and virtual reality. Future research could be conducted on more fathers and parents from varied geographical regions.

Factors Related to Psychological Distress in Multiparous Women in the First Trimester: A Cross-Sectional Study

BACKGROUND

The birth rate in Taiwan has declined rapidly; thus, encouraging women to give birth is an important issue in the country. Pregnant women may experience psychological distress, which may negatively impact the health of children and mothers. Prenatal psychological distress is more common in multiparous women than in primiparous women. In addition, compared with that in the second and third trimesters, psychological distress in the first trimester is relatively high. Understanding psychological distress and the associated factors for multiparous women in the first trimester is important to providing early interventions and preventing subsequent maternal and child health problems.

PURPOSE

This study was designed to examine the important predictive factors related to depression, anxiety, and stress among Taiwanese multiparous women in the first trimester.

METHODS

A cross-sectional design was used. In all, 216 multiparous women at 16 weeks of pregnancy were recruited from three hospitals in Taiwan. Self-reported questionnaires were used to gather data on demographic characteristics, the parenting stress of motherhood, spousal support, and psychological distress. A multiple logistic regression analysis was conducted to examine the factors associated with psychological distress.

RESULTS

The prevalence of depression, anxiety, and stress in multiparous women was found to be 31.9%, 42.6%, and 11.1%, respectively. The multiple logistic regression analysis indicated that the stress related to parent-child interaction was a significant predictor of depression and anxiety, the stress related to child-rearing was a significant predictor of anxiety, and low spousal instrumental support was a significant predictor of stress. The model respectively explained 30%, 27%, and 23% of the variance in depression, anxiety, and stress.

CONCLUSIONS/IMPLICATIONS FOR PRACTICE

Reducing the stress related to parent-child interaction and child-rearing and encouraging spousal instrumental support should be considered during prenatal care when designing interventions to reduce the psychological distress of multiparous women in their first trimester.

The role of digital patient education in maternal health: A systematic review

OBJECTIVE

To assess the recent trends, acceptability, and effectiveness of digital maternal patient education through summarizing the literature.

METHODS

Articles published in 2010-2020 on patient education, digital tools, and maternal health were searched on PubMed. Abstract and full texts were reviewed to identify eligible studies and extract key information.

RESULTS

Digital patient education studies covered various topics throughout pregnancy, with the greatest number of studies targeting the prenatal period. Among the 55 studies, 38 (69%) reported significant patient outcomes, with the main benefits of increased knowledge (83.3%), emotional benefits (73.7%), and behavioral changes (60.6%). The number of studies per year increased steadily over the past decade, with frequently utilized formats of texts with images (40%), SMS (30.9%), and videos (25.5%). Video produced the highest rate of positive patient outcomes; however, no statistical significance was found.

CONCLUSION

Our study presented evidence supporting the high effectiveness and prevalence of digital tools in maternal patient education, and analyzed the content, platforms, and formats utilized by digital tools of the past decade.

PRACTICE IMPLICATIONS

Digital tools are effective and feasible in conducting maternal patient education. No specific patient education format is found to be superior in improving patient's health outcomes.

eHealth Interventions for Treatment and Prevention of Depression, Anxiety, and Insomnia During Pregnancy: Systematic Review and Meta-analysis

BACKGROUND

Pregnancy is associated with an increased risk for depression, anxiety, and insomnia. eHealth interventions provide a promising and accessible treatment alternative to face-to-face interventions.

OBJECTIVE

The objective of this systematic review and meta-analysis is to determine the effectiveness of eHealth interventions in preventing and treating depression, anxiety, and insomnia during pregnancy. Secondary aims are to identify demographic and intervention moderators of effectiveness.

METHODS

A total of 5 databases (PsycINFO, Medline, CINAHL, Embase, and Cochrane) were searched from inception to May 2021. Terms related to eHealth, pregnancy, randomized controlled trials (RCTs), depression, anxiety, and insomnia were included. RCTs and pilot RCTs were included if they reported an eHealth intervention for the prevention or treatment of depression, anxiety, or insomnia in pregnant women. Study screening, data extractions, and quality assessment were conducted independently by 2 reviewers from an 8-member research team (KAS, PRS, Hangsel Sanguino, Roshni Sohail, Jasleen Kaur, Songyang (Mark) Jin, Makayla Freeman, and Beatrice Valmana). Random-effects meta-analyses of pooled effect sizes were conducted to determine the effect of eHealth interventions on prenatal mental health. Meta-regression analyses were conducted to identify potential moderators.

RESULTS

In total, 17 studies were included in this review that assessed changes in depression (11/17, 65%), anxiety (10/17, 59%), and insomnia (3/17, 18%). Several studies included both depression and anxiety symptoms as outcomes (7/17, 41%). The results indicated that during pregnancy, eHealth interventions showed small effect sizes for preventing and treating symptoms of anxiety and depression and a moderate effect size for treating symptoms of insomnia. With the exception of intervention type for the outcome of depressive symptoms, where mindfulness interventions outperformed other intervention types, no significant moderators were detected.

CONCLUSIONS

eHealth interventions are an accessible and promising resource for treating symptoms of anxiety, depression, and insomnia during pregnancy. However, more research is necessary to identify ways to increase the efficacy of eHealth interventions for this population.

TRIAL REGISTRATION

PROSPERO (International Prospective Register of Systematic Reviews) CRD42020205954; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=205954.

Mobile Phone App Use Among Pregnant Women in China and Associations Between App Use and Perinatal Outcomes: Retrospective Study

BACKGROUND

Maternal and child health (MCH)-related mobile apps are becoming increasingly popular among pregnant women; however, few apps have demonstrated that they lead to improvements in pregnancy outcomes.

OBJECTIVE

This study aims to investigate the use of MCH apps among pregnant women in China and explore associations with pregnancy outcomes.

METHODS

A retrospective study was conducted at 6 MCH hospitals in northern China. Women who delivered a singleton baby at >28 weeks' gestation at the study hospitals were sequentially recruited from postnatal wards from October 2017 to January 2018. Information was collected on the women's self-reported MCH app use during their pregnancy, along with clinical outcomes. Women were categorized as nonusers of MCH apps and users (further divided into intermittent users and continuous users). The primary outcome was a composite adverse pregnancy outcome (CAPO) comprising preterm birth, birth weight <2500 g, birth defects, stillbirth, and neonatal asphyxia. The association between app use and CAPO was explored using multivariable logistic analysis.

RESULTS

The 1850 participants reported using 127 different MCH apps during pregnancy. App use frequency was reported as never, 24.7% (457/1850); intermittent, 47.4% (876/1850); and continuous, 27.9% (517/1850). Among app users, the most common reasons for app use were health education (1393/1393, 100%), self-monitoring (755/1393, 54.2%), and antenatal appointment reminders (602/1393, 43.2%). Nonusers were older, with fewer years of education, lower incomes, and higher parity (P<.01). No association was found between any app use and CAPO (6.8% in nonusers compared with 6.3% in any app users; odds ratio 0.77, 95% CI 0.48-1.25).

CONCLUSIONS

Women in China access a large number of different MCH apps, with social disparities in access and frequency of use. Any app use was not found to be associated with improved pregnancy outcomes, highlighting the need for rigorous development and testing of apps before recommendation for use in clinical settings.

Understanding engagement in digital mental health and wellbeing programs for sub-clinical women in the perinatal period: A Systematic Review without Meta-Analysis (SWiM) (Preprint)

Background

Pregnancy and the postnatal period can be a time of increased psychological distress, which can be detrimental to both the mother and the developing child. Digital interventions are cost-effective and accessible tools to support positive mental health in women during the perinatal period. Although studies report efficacy, a key concern regarding web-based interventions is the lack of engagement leading to drop out, lack of participation, or reduced potential intervention benefits.

Objective

This systematic review aimed to understand the reporting and levels of engagement in studies of digital psychological mental health or well-being interventions administered during the perinatal period. Specific objectives were to understand how studies report engagement across 4 domains specified in the Connect, Attend, Participate, and Enact (CAPE) model, make recommendations on best practices to report engagement in digital mental health interventions (DMHIs), and understand levels of engagement in intervention studies in this area. To maximize the utility of this systematic review, we intended to develop practical tools for public health use: to develop a logic model to reference the theory of change, evaluate the studies using the CAPE framework, and develop a guide for future data collection to enable consistent reporting in digital interventions.

Methods

This systematic review used the Cochrane Synthesis Without Meta-analysis reporting guidelines. This study aimed to identify studies reporting DMHIs delivered during the perinatal period in women with subclinical mood symptoms. A systematic database search was used to identify relevant papers using the Ovid Platform for MEDLINE, PsycINFO, EMBASE, Scopus, Web of Science, and Medical Subject Headings on Demand for all English-language articles published in the past 10 years.

Results

Searches generated a database of 3473 potentially eligible studies, with a final selection of 16 (0.46%) studies grouped by study design. Participant engagement was evaluated using the CAPE framework and comparable variables were described. All studies reported at least one engagement metric. However, the measures used were inconsistent, which may have contributed to the wide-ranging results. There was insufficient reporting for enactment (ie, participants’ real-world use of intervention skills), with only 38% (6/16) of studies clearly recording longer-term practice through postintervention interviews. The logic model proposes ways of conceptualizing and reporting engagement details in DMHIs more consistently in the future.

Conclusions

The perinatal period is the optimal time to intervene with strength-based digital tools to build positive mental health. Despite the growing number of studies on digital interventions, few robustly explore engagement, and there is limited evidence of long-term skill use beyond the intervention period. Our results indicate variability in the reporting of both short- and long-term participant engagement behaviors, and we recommend the adoption of standardized reporting metrics in future digital interventions.

Trial Registration

PROSPERO CRD42020162283; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=162283

Interventions to reduce post-traumatic stress disorder symptoms in health care professionals from 2011 to 2021: a scoping review

OBJECTIVES

This scoping review aimed to describe available interventions for decreasing (post-traumatic stress disorder) PTSD symptoms among healthcare professionals in hospital care.

METHOD

A scoping review was conducted following Arksey and O'Malley's framework. PubMed, EMBASE, Cochrane Library, CINAHL, PsycINFO, Web of Science, Scopus and ProQuest were searched for original research published in English from 2011 to 2021, on 8 July 2021. We included studies that described interventions that focused on reducing the PTSD symptoms of healthcare professionals. A narrative synthesis was adopted to synthesise the data.

RESULTS

A total of eight studies out of 2558 articles were identified. Six used a quantitative study design and two adopted qualitative methods. cognitive behavioural therapy and mindfulness-based interventions were the most commonly adopted. Most studies used a combination of different intervention strategies. Trauma-related knowledge, emotion regulation and relaxation skill training, and psychological support from peers and psychologists were three core intervention components. The duration ranged from 2 weeks to 6 months. Healthcare professionals who participated in training programmes reported both positive experiences and suggestions for the improvement of PTSD-reducing interventions in their qualitative feedback.

CONCLUSIONS

The scoping review provides a practical summary of the intervention characteristics for reducing the PTSD symptoms of healthcare professionals. Hospitals and managers could use the overview of interventions to assist healthcare professionals with PTSD symptoms. More research investigating the effects of PTSD symptom-reducing interventions for healthcare professionals with appropriate follow-up assessments is needed in the future.

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

BACKGROUND

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

METHODS

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

RESULTS

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

LIMITATIONS

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

CONCLUSION

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

Effectiveness of web-based and mobile-based psychological interventions to prevent perinatal depression: Study protocol for a systematic review and meta-analysis of randomized controlled trials

INTRODUCTION

Perinatal depression is one of the most common complications during pregnancy and one year following childbirth. A negative impact on the mental and physical health of women, their children, partners, or significant others has been associated with this disease. Web-based and Mobile-based psychological interventions can reduce the burden of the disease through prevention of new cases of depression. It is crucial to know the effectiveness of these interventions to implement them around the globe. This systematic review and meta-analysis aims to assess the effectiveness of Web-based and Mobile-based psychological interventions to prevent depression during the perinatal period.

METHOD AND ANALYSIS

A systematic review and meta-analysis will adhere to the PRISMA guidelines. Studies will be identified through MEDLINE, PsycINFO, Web of Science, Scopus, CINAHL, CENTRAL, Opengrey, Australian New Zealand Clinical Trial Registry, National Institute for Mental Health Research at the Australian National University, clinicaltrial.gov, beacon.anu.edu.au, and evidencebasedpsychotherapies.org from inception until 31 March 2021. We will also search the reference lists provided in relevant studies and reviews. The selection criteria will be as follows: 1) pregnant women or women who have given birth in the last 12 months and who were non-depressive at baseline; 2) Web-based and Mobile-Based psychological interventions; 3) comparators will be usual care, attention control, waiting list or no intervention; 4) outcomes will be the incidence of new cases of perinatal depression and/or the reduction of depressive symptoms as measured by validated instruments; and 5) the design of the studies will be randomized controlled trials. No restrictions regarding the year or language of publication will be considered. Pooled standardized mean differences and 95% confidence intervals will be calculated. The risk of bias of the studies will be assessed through the Cochrane Collaboration risk of bias 2.0 tool. Heterogeneity and publication bias will be estimated. Sensitivity and sub-group analyses will also be conducted. Random effects meta-regression will be performed.

ETHICS AND DISSEMINATION

As a systematic review, ethical approval is not required. The results from this study will be presented at international conferences and disseminated through peer-reviewed publications. Patients and the public will be involved in the dissemination plans.

PROSPERO REGISTRATION NUMBER

230,089 (submitted).

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

INTRODUCTION

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

METHODS AND RESULTS

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

CONCLUSION

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

The Clinical Application and Prospect of Smart Prenatal Care and Postpartum Recovery

Scientific and technological advancement has increased the requirement for modern medical systems, leading to smartphone-based intelligent prenatal care and postpartum recovery. This kind of prenatal care and postpartum recovery including a remote monitoring system for fetal heart monitoring, blood glucose, and weight overcomes the restrictions of time and space and provides all-round, convenient, rapid, and accurate services to the medical systems, doctors, and pregnant women. This paper reviews the current research on intelligent medical services for pregnant women, particularly for prenatal care and postpartum recovery.

Effectiveness of nonpharmacological interventions for reducing postpartum fatigue: a meta-analysis

BACKGROUND

Postpartum fatigue is the most common issue among postnatal women and it could not only seriously affect the health of mothers but also bring about adverse impacts on their offspring. This meta-analysis aims to synthesize nonpharmacological evidence and evaluate the effectiveness of interventions for reducing postpartum fatigue among puerperae.

METHODS

The Cochrane Library, PubMed, Embase, Web of Science, PsycINFO, CINAHL and ProQuest databases were searched for papers published from inception until June 2021. Grey literature was searched using OpenGrey. Randomized controlled trials (RCTs) or controlled clinical trials (CCTs) evaluating nonpharmacological interventions conducted during 0 ~ 78 weeks postpartum for fatigue reduction were eligible for inclusion. The methodological quality of the included studies was independently assessed by two reviewers using the Cochrane risk-of-bias tool and the risk of bias in nonrandomized studies of interventions. Cohen's kappa coefficient was used to measure inter-rater agreement. The meta-analysis was conducted using Review Manager 5.3.

RESULTS

Seventeen published clinical trials matched the eligibility criteria and ten studies involving 1194 participants were included in this meta-analysis. The intervention start time varied from immediately postpartum care to 1 year after delivery, and duration ranged from 1 day to 3 months. The results revealed that exercise (SMD = - 1.74, 95% CI = -2.61 to - 0.88) and drinking tea (MD = - 3.12, 95% CI = -5.44 to - 0.80) resulted in significant improvements in women's postpartum fatigue at postintervention. Drinking tea may have beneficial effects on depression (MD = - 2.89, 95% CI = -4.30 to - 1.49). Positive effects of psychoeducational interventions on postpartum fatigue or depression were not observed. Physical therapies including mother-infant skin-to-skin contact, taking warm showers and breathing lavender oil aroma were used for reducing postpartum fatigue. No significant risk of publication bias was found. Small number of included studies and sample sizes, not time-matched conditions of control groups, high heterogeneity and the risk of bias within the included studies were the main limitations of our review.

CONCLUSIONS

This review provides evidence that exercise and drinking tea may be effective nonpharmacological interventions for relieving postpartum fatigue. More effective and targeted exercise programs need to be further studied. Rigorous RCTs of drinking tea are needed. Caution is required when interpreting the findings due to the limitations of our study. Further studies are still needed to validate our findings and increase confidence in the results.

Design of the Maternal Website EMAeHealth That Supports Decision-Making During Pregnancy and in the Postpartum Period: Collaborative Action Research Study

Background

Despite the benefit maternal education has for women, it needs new tools to increase its effectiveness and scope, in tune with the needs of current users.

Objective

We attempted to develop a multifunctional personalized eHealth platform aimed at the self-management of health in relation to maternity, which can be considered a flexible and adaptable maternal education tool.

Methods

The International Patient Decision Aid Standards (IPDAS) were applied. A website prototype was developed for implementation in the public health system using a collaborative action research process, in which experts and patients participate, with qualitative research techniques, as well as focus groups, prioritization, and consensus techniques.

Results

We have proposed a website that includes (1) systematically updated information related to clinical practice guidelines, (2) interaction between peers and users/professionals, (3) instruments for self-assessment of health needs as a basis for working on counseling, agreement on actions, help in the search for resources, support in decision-making, and monitoring and evaluation of results, and (4) access for women to their clinical data and the option of sharing the data with other health agents. These components, with different access requirements, would be reviewed through iterative cycles depending on the frequency and effectiveness resulting from their use and would be accessible from any digital device.

Conclusions

A website that supports maternal education should contain not only information, but also resources for individual attention and social support. Its usefulness for the health and satisfaction of women should be evaluated in various different environments.

A smartphone-assisted brief online cognitive-behavioral intervention for pregnant women with depression: a study protocol of a randomized controlled trial

Background

Pregnancy is strongly associated with increased risk for depression. Approximately 25% of pregnant women develop depression. Treatment for depression during pregnancy has several complexities: the use of psychiatric medications during pregnancy might result in developmental problems in the child and must be used with caution. Psychosocial interventions are effective, but they require specialized professionals. Low- and middle-income countries (LMIC) such as Brazil do not have enough mental health professionals needed to meet this demand. In this context, smartphone-based interventions show immense potential. We developed Motherly, a smartphone application (app) designed to treat maternal depression. We aim to test the efficacy of Motherly in addition to brief cognitive-behavioral therapies (CBT) to treat maternal depression.

Methods

We will conduct a 2-arm parallel-randomized controlled clinical trial in which 70 pregnant women aged between 16 and 40 years with depression will be randomized to intervention or active control. The intervention group will have access to Motherly, a smartphone app based on three concepts: psychoeducation, behavior monitoring, and gaming elements. Motherly is composed of a package of interventions composed of modules: mental health, sleep, nutrition, physical activity, social support, prenatal/postnatal support, and educational content. The main focus of Motherly is delivering behavioral activation (BA), a brief and structured psychological treatment. The app allows participants to schedule and engage in, and monitor activities according to a plan to avoid acting exclusively according to their mood. The active control group will have access to a simplified version of the app consisting of educational content about various aspects of pregnancy, maternal physical and mental health, and infant development (BA, activity scheduling, sleep hygiene, among other functionalities, will not be present in this version). Both groups will receive four sessions of brief CBT in 8 weeks. Participants will be evaluated by assessors blind to randomization and allocation status. Assessments will occur at baseline (T0), midpoint (T1, week 4–5), posttreatment (T2, week 8), and follow-up (T3, when the child is 2 months old). Maternal mental health (prenatal anxiety, psychological well-being, perceived stress, depression, depression severity, and sleep quality), quality of life, physical activity levels, and infant developmental milestones and social/emotional problems will be measured. Our primary outcome is the change in maternal prenatal depression from baseline to posttreatment (8 weeks).

Discussion

The potential of digital technology to deliver mental health interventions has been increasingly recognized worldwide. There is a growing literature on interventions using smartphone applications to promote mental health, both with or without the intermediation of a mental health professional. Our study adds to the literature by testing whether an app providing an intervention package, including CBT, psychoeducation, nutrition, physical activity, and social support, can promote maternal and child health and well-being. In particular, we aim to treat depression, for which the use of digital technologies is still scarce. Smartphone applications designed to treat maternal depression are especially relevant because of the potential to circumvent barriers that prevent pregnant women from accessing mental health care.

Trial registration

ClinicalTrials.gov NCT04495166. Prospectively registered on July 29, 2020.

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

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

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

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

Maternal Parenting Electronic Diary in the Context of a Home Visit Intervention for Adolescent Mothers in an Urban Deprived Area of São Paulo, Brazil: Randomized Controlled Trial

BACKGROUND

Pregnancy during adolescence is prevalent in low- and middle-income countries (LMICs), which is associated with various adverse outcomes that can be prevented with home visiting programs. However, testing these interventions in LMICs can be challenging due to limited resources. The use of electronic data collection via smartphones can be an alternative and ideal low-cost method to measure outcomes in an environment with adverse conditions.

OBJECTIVE

Our study had two objectives: to test the efficacy of a nurse home visiting intervention on maternal parenting and well-being measured by an electronic daily diary (eDiary), and to investigate the compliance rate of the eDiary measurement method.

METHODS

We conducted a randomized controlled trial to test the efficacy of Primeiros Laços, a nurse home visiting program, for adolescent mothers living in an urban deprived area of São Paulo, Brazil. A total of 169 pregnant adolescents were assessed for eligibility criteria, 80 of whom were included and randomized to the intervention (n=40) and control group (care as usual, n=40). Primeiros Laços is a home visiting intervention delivered by trained nurses tailored to first-time pregnant adolescents and their children, starting during the first 16 weeks of pregnancy until the child reaches 24 months of age. Participants were assessed by blind interviewers at 8-16 weeks of pregnancy (baseline), 30 weeks of pregnancy, and when the child was 3, 6, and 12 months of age. At 18 months, participants were assessed regarding maternal parenting and parental well-being using a 7-consecutive-day eDiary. The smartphone app was programmed to notify participants every day at 9:00 PM over a period of seven days.

RESULTS

We were able to contact 57/80 (71%) participants (29 from the intervention group and 28 from the control group) when the child was 18 months of age. Forty-eight of the 57 participants (84%) completed at least one day of the eDiary protocol. The daily compliance rate ranged from 49% to 70%. Our analyses showed a significant effect of the intervention on parental well-being (B=0.32, 95% CI [0.06, 0.58], P=.02) and the maternal parenting behavior of the mother telling a story or singing to the child (odds ratio=2.33, 95% CI [1.20, 4.50], P=.01).Our analyses showed a significant effect of the intervention on parental well-being (B=0.32, P=.02) and the maternal parenting behavior of the mother telling a story or singing to the child (odds ratio=2.33, P=.01).

CONCLUSIONS

The Primeiros Laços intervention improved maternal parenting and parental well-being, demonstrating its promise for low-income adolescent mothers. The compliance rate of the eDiary assessment showed that it was generally accepted by adolescent mothers with limited resources. Future studies can implement ambulatory assessment in LMICs via smartphones to measure mother and child behaviors.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02807818; https://clinicaltrials.gov/ct2/show/NCT02807818.

Mediators of Intervention Effects on Depressive Symptoms Among People Living With HIV: Secondary Analysis of a Mobile Health Randomized Controlled Trial Using Latent Growth Curve Modeling

Background

Although several studies have investigated the effects of mobile health (mHealth) interventions on depression among people living with HIV, few studies have explored mediators of mHealth-based interventions to improve mental health in people living with HIV. Identifying influential mediators may enhance and refine effective components of mHealth interventions to improve mental health of people living with HIV.

Objective

This study aimed to examine mediating factors of the effects of a mHealth intervention, Run4Love, designed to reduce depression among people living with HIV using 4 time-point measurement data.

Methods

This study used data from a randomized controlled trial of a mHealth intervention among people living with HIV with elevated depressive symptoms in Guangzhou, China. A total of 300 patients were assigned to receive either the mHealth intervention (n=150) or a waitlist control group (n=150) through computer-generated block randomization. Depressive symptoms, coping, and HIV-related stigma were measured at baseline, 3-, 6-, and 9-month follow-ups. The latent growth curve model was used to examine the effects of the intervention on depressive symptoms via potential mediators. Mediating effects were estimated using bias-corrected 95% bootstrapped CIs (BCIs) with resampling of 5000.

Results

Enhanced positive coping and reduced HIV-related stigma served as effective treatment mediators in the mHealth intervention. Specially, there was a significant indirect effect of the mHealth intervention on the slope of depressive symptoms via the slope of positive coping (beta=–2.86; 95% BCI –4.78 to –0.94). The indirect effect of the mHealth intervention on the slope of depressive symptoms via the slope of HIV-related stigma was also statistically significant (beta=–1.71; 95% BCI –3.03 to –0.40). These findings indicated that enhancement of positive coping and reduction of HIV-related stigma were important mediating factors of the mHealth intervention in reducing depression among people living with HIV.

Conclusions

This study revealed the underlying mediators of a mHealth intervention to reduce depression among people living with HIV using latent growth curve model and 4 time-point longitudinal measurement data. The study results underscored the importance of improving positive coping skills and mitigating HIV-related stigma in mHealth interventions to reduce depression among people living with HIV.