Search

Objectives Digital health solutions have the potential to improve maternal mental health care. The objective of this study is to determine if utilization of a digital health platform, Maven, is associated with improved management of mental health among peripartum people with a history of mental health disorders and determine which components of utilization associate with maternal mental health outcomes. Methods Participants in this retrospective cohort analysis (n = 1561) accessed Maven as an employer‐sponsored health benefit and enrolled during their pregnancy and delivered from January 2020 through September 2022. Participants completed health surveys at enrollment, including history of a mood disorder, and post‐delivery. Maven includes online articles, asynchronous and synchronous virtual classes, app‐based mental health screenings, access to allied health professional and maternity care providers via messaging and telehealth appointments. Quantile g–computation was used to estimate the effects of multi‐utilization exposures on reports of postpartum depression (PPD) and management of mental health. Results Multi‐utilization exposure mixture models demonstrated that increasing use of digital resources by one quartile is associated with an increased odds of reporting that Maven helped users manage their mental health (aOR: 12.58 [95% CI: 6.74, 23.48]) and was not associated with self‐reported incidence of PPD (aOR: 1.30 [95% CI: 0.52, 3.27]). Care advocate appointments, provider messages, and article reads were positively associated with improved mental health management. Conclusions Digital health platforms, such as Maven, may play an important role in managing maternal mental health conditions among pregnant and postpartum people at high risk for PPD.

Abstract Objective The objective of this study was to understand the use of supplemental digital prenatal services by race and ethnicity among pregnant people utilizing a comprehensive, employer‐sponsored digital health platform. Materials and Methods We conducted a retrospective cohort study of pregnant people enrolled in a comprehensive, employer‐sponsored digital health platform, assessing utilization of app‐based supplemental digital prenatal services by race and ethnicity. Care utilization included three categories: asynchronous utilization (e.g., article reads, videos); interactions with a care advocate, a trained care navigator; and provider interactions (e.g., messages and visits with a medical provider). Differences in service utilization by race and ethnicity were assessed using basic descriptive statistics with between‐group comparisons. Results Of 5662 users, 2362 (41.7%) were White, 266 (4.7%) were Black, and 1411 (24.9%) reported ‘prefer not to say’ for their race. More Black and Asian users sent messages to a provider and had provider appointments than White and Hispanic users (messages: White: 33.7%, Hispanic: 33.6%, Asian: 44.9%, Black: 45.1%, p

Objective: To identify trajectories of prenatal digital service utilization across pregnancy and examine their associations with pregnancy outcomes. Patients and Methods: Data were extracted from 5409 pregnant people enrolled in Maven, a comprehensive digital platform for women’s and family health, between January 1, 2020, and May 27, 2022. Multitrajectory modeling used digital service utilization data (eg, articles read, classes attended, and appointments with providers) at each trimester to identify trajectories of digital use across pregnancy. Multinomial logistic regression models tested for associations between the utilization trajectories and user-reported pregnancy education, experiences, and outcomes. Results: Four distinct trajectories of digital service utilization were identified and labeled as follows: (1) baseline users (52% of users), (2) just-in-timers (16%), (3) learners (26%), and (4) super users (6%). Users varied across trajectories by race, perinatal support interests, mental health, and parity. Compared with baseline users, trajectories reflective of more digital health service utilization were all positively associated with self-reported influence of Maven on pregnancy education, maternity care experience, and clinical outcomes. Conclusion: Distinct trajectories of digital health utilization emerged among pregnant individuals with differences in user characteristics and medical risks by trajectory group. Users in higher-use trajectories reported greater benefits from digital health. These findings may be used to inform gaps in existing prenatal care and help provide tailored services to reflect the unique needs of each individual pregnancy.

IntroductionWe examined how utilization of Maven, a digital healthcare platform that provides virtual prenatal services, is associated with improvements in perceived management of anxiety and depression during pregnancy, and how medical knowledge and support may influence this association.Materials and MethodsIn this retrospective study we used adjusted logistic regression to examine the relationship between digital platform use in pregnancy and perceived mental health management, and how perceived management of mental health is affected by user-reported improvements in medical knowledge and feeling supported by the platform. Effects were evaluated separately among users with and without a mental health condition. Demographics, medical history, and mental health management were self-reported.ResultsOf 5,659 users, 705 (12.5%) reported that Maven helped them manage anxiety and/or depression in the prenatal period. In adjusted models, users who read more articles, sent more messages to care advocates, or had more appointments with providers were more likely to report improved management of mental health in a dose-response manner (e.g., articles read: Q2 aOR 1.31 (95% CI 1.01–1.70), Q3 aOR 1.68 (95% CI 1.30–2.17), Q4 1.99 (95% CI 1.54–2.59)). Improvements in medical knowledge and high perceived support were both associated with better perceived mental health management. Results were similar in users with and without a mental health condition.DiscussionThese results suggest that access to a diverse set of digital resources provides multiple pathways to managing depression and anxiety during pregnancy for those with and without a diagnosed mental health condition.

BACKGROUND: Social determinants of health significantly affect health outcomes, yet are infrequently addressed in prenatal care. OBJECTIVE: This study aimed to improve the efficiency and experience of addressing social needs in pregnancy through: (1) testing a digital short-form screening tool; and (2) characterizing pregnant people's preferences for social needs screening and management. STUDY DESIGN: We developed a digital short-form social determinants of health screening tool from PRAPARE (Protocol for Responding to and Assessing Patients’ Assets, Risks, and Experiences), and a survey to query patients’ preferences for addressing social needs. Instruments were administered online to peripartum participants, with equal representation of patients with public and private insurance. We calculated the sensitivity and specificity of the short-form tool vs PRAPARE. Quantitative responses were characterized using descriptive statistics. Free-text responses were analyzed with matrix and thematic coding. Survey data were analyzed by subgroups of historically marginalized populations. RESULTS: A total of 215 people completed the survey. Participants were predominantly White (167; 77.7%) and multiparous (145; 67.4%). Unmet social needs were prevalent with both the short-form tool (77.7%) and PRAPARE (96.7%). The sensitivity (79.3%) and specificity (71.4%) of the short-form screener were high for detecting any social need. Most participants believed that it was important for their pregnancy care team to know their social needs (material: 173, 80.5%; support: 200, 93.0%), and over half felt comfortable sharing their needs through in-person or digital modalities if assistance was or was not available (material: 117, 54.4%; support: 122, 56.7%). Free-text themes reflected considerations for integrating social needs in routine prenatal care. Acceptability of addressing social needs in pregnancy was high among all groups. CONCLUSION: A digital short-form social determinants of health screening tool performs well when compared with the gold standard. Pregnant people accept social needs as a part of routine pregnancy care. Future work is needed to operationalize efficient, effective, patient-centered approaches to addressing social needs in pregnancy.

BackgroundMobile applications (apps) present a new opportunity to study menstrual cycles and time to pregnancy. Understanding the characteristics of cycle tracking app users is important to evaluate the feasibility of recruiting participants for preconception research.MethodsUsers of a cycle tracking smartphone app, Ovia Fertility, aged 18 or older in the U.S. were randomly invited via email to complete a “fertility research” questionnaire that included demographic and reproductive characteristics. Among those attempting pregnancy without medical assistance, attempt duration, factors influencing pregnancy planning, health history and behaviors while attempting to conceive were queried. Respondents could choose to enter a raffle for a $50 gift card.ResultsInitially, 639 people responded to the demographics portion of the survey representing 49 states and Washington DC. Of these, 344 (54%) were trying to conceive and of those, 297 (86%) were not using medical treatments. Of those not trying to conceive, 12% reported that they planned to start in the next 3 months. Most participants were ages 26–35 (63%), of White race (70%), reported non-Hispanic ethnicity (87%), had at least a bachelor's degree (56%) and an income between $50,000 and $200,000 (58%). One-third were of recommended BMI (35%), 24% overweight, and 41% obese. Most participants reported no fertility-related health conditions (58%). Forty-eight participants (17%) had been trying to conceive for 1 month or less, 88 (31%) had been trying for 2 months or less, and 122 (43%) for 3 months or less. Interruptions in pregnancy attempts were common, 31% reported periods without intercourse. Of those attempting pregnancy, 47% of partners completed their own questionnaire.ConclusionThis first-of its-kind analysis describes users of a cycle-tracking smartphone app who could be eligible for recruitment to a prospective time-to-pregnancy study. Survey respondents were diverse with respect to geographic location, BMI, and income. However, special recruitment efforts will be needed to recruit participants and partners who identify as other than non-Hispanic White. Participants with fertility-related conditions are not overly represented among app users who are trying to conceive. Targeting and pre-enrolling app users who are planning to begin a pregnancy attempt in the next 3 months may be an advantage of app-based recruitment.

Abstract BackgroundAdmission to the neonatal intensive care unit (NICU) is costly and has been associated with financial and emotional stress among families. Digital health may be well equipped to impact modifiable health factors that contribute to NICU admission rates. ObjectiveThe aim of the study is to investigate how the use of a comprehensive prenatal digital health platform is associated with gestational age at birth and mechanisms to reduce the risk of admission to the NICU. MethodsData were extracted from 3326 users who enrolled in a comprehensive digital health platform between January 2020 and May 2022. Multivariable linear and logistic regression models were used to estimate the associations between hours of digital health use and (1) gestational age at birth and (2) mechanisms to reduce the risk of a NICU admission. Multivariable logistic regression models estimated the associations between (1) gestational age at birth and (2) mechanisms to reduce the risk of a NICU admission and the likelihood of a NICU admission. All analyses were stratified by the presence of any gestational conditions during pregnancy. ResultsFor users both with and without gestational conditions, hours of digital health use were positively associated with gestational age at birth (in weeks; with gestational conditions: β=.01; 95% CI 0.0006-0.02; PPPPPPPPPPP ConclusionsDigital health use may aid in extending gestational age at birth and reduce the risk of NICU admission.

Objective Given the complex nature of preterm birth, interventions to reduce rates of preterm birth should be multifaceted. This analysis aimed to explore the association between the duration of using Maven, a digital health platform for women's and family health, and the odds of preterm birth. Methods Data came from 3326 pregnant, nulliparous Maven users who enrolled in Maven during their pregnancy between January 2020 and September 2022. Chi-square and Fisher's exact tests compared characteristics between users who developed gestational conditions and users who did not. This retrospective cohort study used logistic regression models to estimate the association between the duration of Maven use and odds of preterm birth, stratified by the presence of gestational conditions. Results Compared to those without gestational conditions, individuals who developed gestational conditions were more likely to have a preterm birth (8.7% vs. 3.4%; p

BackgroundDigital health is increasingly used to meet the needs of perinatal people, with estimates of pregnancy-related internet use ranging from 90% to 97% of pregnant people. As digital health takes on greater importance during the perinatal period, it is essential that providers and developers of digital health content understand why perinatal people use these resources and the features that enhance their experience. However, gaps remain in understanding the content that is most helpful and how the platforms are navigated. Learning directly from perinatal people about their needs will help ensure alignment between perinatal needs and available content. ObjectiveThis formative study aims to identify the reasons why perinatal people use digital health resources; the features of the digital health platforms that are of greatest importance to them; and how these differ by perinatal stage (pregnancy vs post partum), mental health conditions, parity, and demographics (race and ethnicity). MethodsThis mixed methods study used interviews; surveys; and secondary data on demographic, health, and pregnancy characteristics to identify the digital health needs and preferences of pregnant and postpartum people who used the Maven digital health platform in the United States during their pregnancy or postpartum period. The interviews informed the content of the surveys and provided additional insights and examples for interpreting the survey results. The surveys were used to collect data from a sample of Maven users, and the results were linked to the secondary data set. The interviews were thematically analyzed, and survey data were analyzed using descriptive statistics and stratified by parity, race, and mental health status. ResultsOverall, 13 people were interviewed (including n=4, 31% pilot interviews), and 147 pregnancy and 110 postpartum survey respondents completed the surveys and had linkable secondary data. Top reasons for using digital health resources during pregnancy were to (1) know what is normal or typical during pregnancy, (2) have access to a health care provider when needed, and (3) know how the baby is developing. Top reasons for postpartum use were to (1) help with breastfeeding, (2) know what normal baby development is, and (3) help with the baby’s health issues. Top platform features during pregnancy and the postpartum period were (1) credible and trustworthy information and providers, (2) nonjudgmental information and support, and (3) no cost to the user. In general, more reasons for using digital resources were identified as extremely important during pregnancy compared with post partum. The results showed minor variations across strata. ConclusionsThis formative research found minor differences in digital resource needs and preferences across user characteristics among perinatal people in the United States. Future work should examine whether there are variations in interests within topics by user characteristics, which may provide additional opportunities to better meet user needs.

Abstract BackgroundThe transition to parenthood is a period of major stressors and increased risk of anxiety for all parents. Though rates of perinatal anxiety are similar among women (4%-25%) and men (3%-25%), perinatal anxiety research on nonbirthing partners remains limited. ObjectiveWe aimed to examine whether demographic characteristics or digital perinatal support preferences differed among nonbirthing partners with compared to without self-reported high parenthood-related anxiety. MethodsIn this large cross-sectional study of nonbirthing partners using a digital perinatal health platform during their partner’s pregnancy, users reported their parenthood-related anxiety through a 5-item Likert scale in response to the prompt “On a scale of 1=None to 5=Extremely, how anxious are you feeling about parenthood?” High parenthood-related anxiety was defined as reporting being very or extremely anxious about parenthood. During the onboarding survey, in response to the question “Which areas are you most interested in receiving support in?” users selected as many support interests as they desired from a list of options. Chi-square ResultsAmong 2756 nonbirthing partners enrolled in the digital platform during their partner’s pregnancy, 2483 (90.1%) were men, 1668 (71.9%) were first-time parents, 1159 (42.1%) were non-Hispanic White, and 1652 (50.9%) endorsed an annual household income of >US $100,000. Overall, 2505 (91.9%) reported some amount of parenthood-related anxiety, and 437 (15.9%) had high parenthood-related anxiety. High parenthood-related anxiety was more common among non-White nonbirthing partners: compared to those who identified as non-Hispanic White, those who identified as Asian, Black, or Hispanic had 2.39 (95% CI 1.85-3.08), 2.01 (95% CI 1.20-3.23), and 1.68 (95% CI 1.15-2.41) times the odds of high parenthood-related anxiety, respectively. Lower household income was associated with increased odds of reporting high parenthood anxiety, with the greatest effect among those with annual incomes of US $100,000 (OR 2.13, 95% CI 1.32-3.34). In general, nonbirthing partners were interested in receiving digital support during their partner’s pregnancy, but those with high parenthood-related anxiety were more likely to desire digital support for all support interests compared to those without high parenthood anxiety. Those with high parenthood-related anxiety had more than 2 times higher odds of requesting digital education about their emotional health compared to those without high parenthood-related anxiety (OR 2.06, 95% CI 1.67-2.55). ConclusionsThese findings demonstrate the need for perinatal anxiety-related support for all nonbirthing partners and identify nonbirthing partners’ demographic characteristics that increase the odds of endorsing high parenthood-related anxiety. Additionally, these findings suggest that most nonbirthing partners using a digital health platform with high parenthood-related anxiety desire to receive perinatal mental health support.