Digital health's influence on the association between birth preference and vaginal birth.

BACKGROUND: Women's preferred mode of birth during pregnancy is predictive of their actual mode of birth. Digital prenatal care services are a promising method for educating women on mode of birth to reduce elective cesareans. This study aimed to evaluate the influence of digital health on the association between birth preference and mode of birth. METHODS: Data come from 5409 pregnant women enrolled in a digital platform for women's and family health. Multi-trajectory modeling identified trajectories of digital health usage throughout pregnancy. Adjusted logistic regression models tested associations between birth preferences and mode of birth. The modifying effect of digital health usage on the association between birth preference and mode of birth was assessed on the multiplicative scale. RESULTS: Four distinct trajectories of digital service usage were identified and labeled as: (1) baseline users (52%): the reference group; (2) just-in timers (16%): high usage during the third trimester; (3) learners (26%): high educational resource usage (e.g., articles and classes) throughout pregnancy; and (4) super users (6%): high usage of both education and care resources throughout pregnancy. Overall, preferred mode of birth at enrollment was predictive of actual mode of birth; however, digital health usage moderated this association, whereby super users and learners who preferred a cesarean at enrollment were more likely to deliver vaginally, compared to baseline users who preferred a cesarean. CONCLUSION: For the increasing proportion of women considering an elective cesarean, education through a prenatal digital health platform may help to encourage vaginal birth and reduce cesarean births.

Improving the Management of Maternal Mental Health with Digital Health Care.

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.

Digital Health Needs and Preferences During Pregnancy and the Postpartum Period: Mixed Methods Study.

BACKGROUND: Digital 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. OBJECTIVE: This 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). METHODS: This 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. RESULTS: Overall, 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. CONCLUSIONS: This 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.

Association Between Doula Use on a Digital Health Platform and Birth Outcomes.

OBJECTIVE: To examine the association between the use of virtual doula appointments on a comprehensive digital health platform and users' mode of birth and their birth experiences, among all platform users and Black platform users. METHODS: Data for this retrospective cohort study were extracted from individuals who enrolled in a comprehensive digital health platform, between January 1, 2020, and April 22, 2023. Multivariable logistic regression models were used to estimate the association between number of virtual doula appointments completed on the digital health platform and odds of cesarean birth and user-reported birth experience outcomes, which included help deciding a birth preference, receiving a high level of support during pregnancy, learning medically accurate information about pregnancy complications and warning signs, and managing mental health during pregnancy, stratified by parity. The interaction of doula utilization by race for each outcome was also tested. RESULTS: Overall 8,989 platform users were included. The completion of at least two appointments with a virtual doula on the digital health platform was associated with a reduction in odds of cesarean birth among all users (adjusted odds ratio [aOR] 0.80, 95% CI, 0.65-0.99) and among Black users (aOR 0.32, 95% CI, 0.14-0.72). Among platform users with a history of cesarean birth, completion of any number of doula visits was associated with a reduction in odds of repeat cesarean birth (one visit: aOR 0.35, 95% CI, 0.17-0.72; two or more visits: aOR 0.37, 95% CI, 0.17-0.83). Analyses among all users indicated dose-response associations between increased virtual doula use and greater odds of users reporting support in deciding a birth preference (one visit: aOR 2.35, 95% CI, 2.02-2.74; two or more visits: aOR 3.67, 95% CI, 3.03-4.44), receiving a high level of emotional support during pregnancy (one visit: aOR 1.99, 95% CI, 1.74-2.28; two or more visits: aOR 3.26, 95% CI, 2.70-3.94), learning medically accurate information about pregnancy complications and warning signs (one visit: aOR 1.26, 95% CI, 1.10-1.44; two or more visits: aOR 1.55, 95% CI, 1.29-1.88), and help managing mental health during pregnancy (one visit: aOR 1.28, 95% CI, 1.05-1.56; two or more visits: aOR 1.78, 95% CI, 1.40-2.26). CONCLUSION: This analysis demonstrates that virtual doula support on a digital health platform is associated with lower odds of cesarean birth and an improved birth experience. Positive findings among Black users and users with vaginal birth after cesarean suggest that doula support is critical for patient advocacy, and that digital health may play a meaningful role in increasing health equity in birth outcomes.

Facilitators, barriers, and key influencers of breastfeeding among low birthweight infants: a qualitative study in India, Malawi, and Tanzania.

BACKGROUND: Low birthweight (LBW) infants are at increased risk of morbidity and mortality. Exclusive breastfeeding up to six months is recommended to help them thrive through infection prevention, growth improvements, and enhancements in neurodevelopment. However, limited data exist on the feeding experiences of LBW infants, their caregivers and key community influencers. The qualitative component of the Low Birthweight Infant Feeding Exploration (LIFE) study aimed to understand practices, facilitators, and barriers to optimal feeding options in the first six months for LBW infants in low-resource settings. METHODS: This study was conducted in four sites in India, Malawi, and Tanzania from July 2019 to August 2020. We conducted 37 focus group discussions with mothers and family members of LBW infants and community leaders and 142 in-depth interviews with healthcare providers, government officials, and supply chain and donor human milk (DHM) experts. Data were analyzed using a framework approach. RESULTS: All participants believed that mother's own milk was best for LBW infants. Direct breastfeeding was predominant and feeding expressed breast milk and infant formula were rare. DHM was a new concept for most. Adequate maternal nutrition, lactation support, and privacy in the facility aided breastfeeding and expression, but perceived insufficient milk, limited feeding counseling, and infant immaturity were common barriers. Most believed that DHM uptake could be enabled through community awareness by overcoming misconceptions, safety concerns, and perceived family resistance. CONCLUSION: This study fills an evidence gap in LBW infant feeding practices and their facilitators and barriers in resource-limited settings. LBW infants face unique feeding challenges such as poor latching and tiring at the breast. Similarly, their mothers are faced with numerous difficulties, including attainment of adequate milk supply, breast pain and emotional stress. Lactation support and feeding counseling could address obstacles faced by mothers and infants by providing psychosocial, verbal and physical support to empower mothers with skills, knowledge and confidence and facilitate earlier, more and better breast milk feeding. Findings on DHM are critical to the future development of human milk banks and highlight the need to solicit partnership from stakeholders in the community and health system.

Demographic and Support Interest Differences Among Nonbirthing Parents Using a Digital Health Platform With Parenthood-Related Anxiety: Cross-Sectional Study.

Background: The 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. Objective: We 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. Methods: In 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 and Fisher exact tests were used to compare demographic characteristics and support interests of nonbirthing partners with low versus high parenthood anxiety. Logistic regression models estimated the odds ratios (ORs), with 95% CIs, of high parenthood-related anxiety with each user characteristic or digital support interest. Results: Among 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). Conclusions: These 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.

Association between nonbirthing parent's perinatal education and mental health support desires and perinatal anxiety among either parent.

BACKGROUND: Although perinatal anxiety is common in birthing and nonbirthing parents, little is known about the mental health or educational needs of nonbirthing parents during the perinatal period and whether perinatal anxiety in the birthing parent is associated with nonbirthing parent educational preferences. OBJECTIVE: This study aimed to examine the desired digital perinatal educational preferences of nonbirthing parents and whether these preferences differed by (1) endorsement of high parenthood-related anxiety in the nonbirthing partner and (2) mental health of the birthing parent (including both identified mental health conditions and presence of pregnancy-related anxiety). STUDY DESIGN: In this cross-sectional study, nonbirthing and birthing parents using Maven, a digital perinatal health platform, selected the areas in which they wanted education or support from a list of options. In addition, the participants reported their experience of parenthood or pregnancy-related anxiety through a 5-item Likert scale in response to the prompt, "On a scale of 1 (not at all) to 5 (extremely), how anxious are you feeling about parenthood or pregnancy?" High parenthood or pregnancy-related anxiety was defined as being very (scale: 4) or extremely (scale: 5) anxious. Furthermore, birthing parents reported whether they had a current or previous mood disorder, but this information was not reported by nonbirthing parents. Survey responses for birthing and nonbirthing parents were linked through the digital platform. Descriptive analyses were used to assess nonbirthing parent demographics and perinatal support interests, stratified by high parenthood-related anxiety, high pregnancy-related anxiety in their partner, and perinatal mood disorders or high pregnancy-related anxiety in their partner. RESULTS: Among 382 nonbirthing parents, most (85.6%) desired to receive digital support during their partner's pregnancy: the most commonly endorsed support interests were infant care (327 [85.6%]) and understanding their partner's emotional (313 [81.9%]) or physical (294 [77.0%]) experience during pregnancy. Overall, 355 nonbirthing parents (93.9%) endorsed any parenthood-related anxiety, and 63 nonbirthing parents (16.5%) were categorized as having high parenthood-related anxiety. Those with high parenthood-related anxiety were more likely to desire digital support for each topic. Among birthing parents, 124 (32.4%) had a mental health condition, and 45 (11.8%) had high pregnancy-related anxiety. When nonbirthing parents were stratified by the presence of their partner having a mental health condition or high pregnancy-related anxiety alone, no difference in desired perinatal education was identified. Although nonbirthing parents had higher rates of high parenthood-related anxiety if the birthing parent reported high pregnancy anxiety (17 [27.0%] vs 28 [8.8%]; P<.001), no difference was found with other conditions within the mental health composite. CONCLUSION: In this cross-sectional study, many nonbirthing parents who engaged with a perinatal digital platform desired education on their or their partner's emotional health during the perinatal period, and most endorsed parenthood-related anxiety. Our findings suggest that perinatal mental health support is needed for nearly all parents and that nonbirthing parents who use digital health platforms are amenable to receiving comprehensive perinatal education via these platforms.

Association Between the Use of a Digital Health Platform During Pregnancy and Helping Users Avoid Emergency and In-Person Care: Retrospective Observational Study.

BACKGROUND: Almost one-third of pregnant people visit the emergency room during pregnancy. Although some emergency care is necessary, gaps in patient education and inaccessibility of preventive services have been identified as key reasons for high-cost, low-value care in pregnancy. Digital platforms present a promising solution for providing resources to supplement routine prenatal care, thereby reducing the use of low-value in-person services. OBJECTIVE: This study aimed to describe the relationship between the use of Maven and in-person care avoidance (emergency room or office visits) during pregnancy. Maven is a digital prenatal health platform that supplements routine prenatal care. Maven offers educational content (articles, videos, and classes), care coordination (through a care advocate), and provider services (web-based appointments and communication with providers) designed to complement prenatal care. Specifically, the aims of this study were to examine whether the use of Maven is associated with in-person care avoidance overall and whether improvements in pregnancy-related knowledge facilitate in-person care avoidance. To assess aim 2, we tested if the use of Maven is associated with improvements in self-reported understanding of warning signs and medically accurate information and if self-reported understanding of medically accurate information and warning signs is associated with in-person care avoidance in a population of Maven users. METHODS: In this retrospective study, we used adjusted logistic regression to examine the relationship between digital platform use, avoidance of in-person care, and the platform's influence on pregnancy-related knowledge (learning medically accurate information and recognizing warning signs). Demographics, medical history, and in-person care avoidance were self-reported. RESULTS: Of the 5263 users, 280 (5.32%) reported that Maven helped them avoid in-person care during pregnancy. More users who reported avoiding in-person care also reported that the digital platform helped them understand warning signs (231/280, 82.5%) and learned medically accurate information (185/280, 66.1%). In the adjusted models, all modes of digital service use (assessed as quartiles) were associated with avoiding in-person care in a dose-response manner (eg, web-based provider appointments: Q2 adjusted odds ratio [aOR] 1.57, 95% CI 1.00-2.41; Q3 aOR 2.53, 95% CI 1.72-3.72; Q4 aOR 5.26, 95% CI 3.76-7.42). Users were more likely to avoid in-person care if they reported that Maven helped them recognize warning signs (aOR 3.55, 95% CI 2.60-4.94) or learn medically accurate information (aOR 2.05, 95% CI 1.59-2.67). CONCLUSIONS: These results suggest that digital platforms can be effective in helping patients to avoid in-person care. The educational pathway suggests that digital platforms can be particularly effective in helping patients recognize warning signs and learn medically accurate information, which may help them avoid in-person care by recognizing when in-person care is medically appropriate. Future work is needed to assess other pathways through which digital resources can support pregnant people and improve perinatal care use.

Utilization of digital prenatal services and management of depression and anxiety during pregnancy: A retrospective observational study.

Introduction: We 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 Methods: In 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. Results: Of 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. Discussion: These 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.

Qualitative assessment of family caregiver-centered neonatal education program in Karnataka, India.

Globally 2.5 million newborns die every year before they reach the age of one month; the majority of these deaths occur in low- and middle-income countries. Among other factors, inadequate knowledge and skills to take care of newborns contribute to these deaths. To fill this gap, training patients and family members on the behaviors needed to improve essential newborn care practices at home is a promising opportunity. One program that aims to do this is the Care Companion Program (CCP) which provides in-hospital, skills-based training on care of mothers and newborns to families. This study uses semi-structured interviews to understand how and why knowledge and behaviors of maternal and newborn care behaviors change (or don't change) as a result of CCP sessions and participants' perception of the impact of CCP on change. Interviews focused on knowledge and behaviors around key neonatal and newborn topics and health seeking behaviors for health complications. Forty-two in-depth interviews were conducted among families with recently-delivered babies at their homes from four districts in Karnataka, India. Respondents have a positive perception about CCP, found training useful and appreciated other family members presence during the training. CCP increased knowledge and awareness and provided critical details to key behaviors like breastfeeding. Respondents were more likely to be receptive toward details on already known topics, like hand washing before touching the baby. Awareness increased on newly learned behaviors, like skin-to-skin care, which don't conflict with cultural norms. The CCP did not influence nonrestrictive maternal diet as much, which cultural norms heavily influence. In-hospital family caregiver education programs, like CCP, can positively influence key neonatal behaviors by imparting knowledge and key skills. However, the effect is not universal across health behaviors.

Developing the Key Driver Diagram by Analyzing Home Central Line Caregiver Proficiency Factors.

Caregivers of pediatric oncology and stem cell transplant patients often care for central lines (CLs) at home. Methods to achieve caregiver CL care proficiency, and interventions designed with caregiver input are lacking. Methods: Caregivers of pediatric oncology and stem cell transplant patients patients with an external CL or removed within 2 weeks were eligible for a survey assessing knowledge, the value of training strategies, and comfort. We mapped responses (n = 79) and acceptability/challenges of introducing a pilot caregiver CL teach-back clinic program onto the capability, opportunity, motivation behavioral (COM-B) model of change to identify drivers of caregiver CL care proficiency. A working group, including caregivers, refined and approved a final driver diagram. Results: Survey: Ninety-four percent of caregivers answered knowledge questions correctly (capability); 95% considered hands-on training helpful (opportunity); 53% were not very comfortable with CL care (motivation). Teach-back: Seventy-nine percent of caregivers were interested in a teach-back as additional training; 38% participated (opportunity); 20% refused participation due to being overwhelmed/not having time (motivation). Thirty-three percent of participants had a CL proficiency assessment (capability). Drivers of home caregiver CL care proficiency included: support for the caregiver's physical capability to perform CL care; enabling the CL care nurse trainer role; facilitating and increasing training opportunities, and engaging caregivers early and continuously to motivate proficiency development appropriately. Conclusions: An approach centered on caregivers as main stakeholders can identify drivers to co-design an intervention for improved home CL care delivery. A standardized process to train and evaluate caregivers with multiple hands-on opportunities might be beneficial.

Understanding social needs in pregnancy: Prospective validation of a digital short-form screening tool and patient survey.

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.

Association Between Utilization of Digital Prenatal Services and Vaginal Birth After Cesarean.

INTRODUCTION: Digital health services are a promising but understudied method for reducing common barriers to vaginal birth after cesarean (VBAC), including connection to facilities offering labor after cesarean and patient-centered counseling about mode of birth. This study assesses the relationship between use of digital prenatal services and VBAC. METHODS: In this retrospective cohort study, we analyzed the use of digital prenatal services and mode of birth among users of an employer-sponsored digital women's and family digital health platform. All users had a prior cesarean birth. Users' self-reported data included demographics, medical history, and birth preferences. We used basic descriptive statistics and logistic regression models to assess the association between digital services utilization and VBAC, adjusting for key patient characteristics. RESULTS: Of 271 included users, 44 (16.2%) had a VBAC and 227 (83.8%) had a cesarean birth. Users of both groups were similar in age, race, and ethnicity. Fewer users in the VBAC group (5/44, 11.4%) as compared with the cesarean birth group (62/227, 27.3%) had a prepregnancy body mass index greater than or equal to 30 (P = 0.02). Likewise, more users in the VBAC group preferred vaginal birth (34/44, 77.3% vs 55/227, 24.2%; P < 0.01). In adjusted models, the services associated with VBAC were care advocate appointments (adjusted odds ratio [aOR], 7.67; 95% CI, 1.99-54.4), health care provider appointments (aOR, 1.12; 95% CI, 1.02-1.25), and resource reads (aOR, 1.05, 95% CI, 1.00-1.09). VBAC rates were higher for users who reported the digital health platform influenced aspects of their pregnancy and birth. DISCUSSION: Reducing cesarean birth rates is a national priority. Digital health services, particularly care coordination and education, are promising for accomplishing this goal through increasing rates of trial of labor after cesarean and subsequent VBAC rates.

Perceptions of Mobile Health Technology in Elective Surgery: A Qualitative Study of North American Surgeons.

OBJECTIVES: To explore the surgeon-perceived added value of mobile health technologies (mHealth), and determine facilitators of and barriers to implementing mHealth. BACKGROUND: Despite the growing popularity of mHealth and evidence of meaningful use of patient-generated health data in surgery, implementation remains limited. METHODS: This was an exploratory qualitative study following the Consolidated Criteria for Reporting Qualitative Research. Purposive sampling was used to identify surgeons across the United States and Canada. The Consolidated Framework for Implementation Research informed development of a semistructured interview guide. Video-based interviews were conducted (September-November 2020) and interview transcripts were thematically analyzed. RESULTS: Thirty surgeons from 8 specialties and 6 North American regions were interviewed. Surgeons identified opportunities to integrate mHealth data pre- operatively (eg, expectation-setting, decision-making) and during recovery (eg, remote monitoring, earlier detection of adverse events) among higher risk patients. Perceived advantages of mHealth data compared with surgical and patient-reported outcomes included easier data collection, higher interpretability and objectivity of mHealth data, and the potential to develop more patientcentered and functional measures of health. Surgeons identified a variety of implementation facilitators and barriers around surgeon- and patient buy-in, integration with electronic medical records, regulatory/reimbursement concerns, and personnel responsible for mHealth data. Surgeons described similar considerations regarding perceptions of mHealth among patients, including the potential to address or worsen existing disparities in surgical care. CONCLUSIONS: These findings have the potential to inform the effective and equitable implementation of mHealth for the purposes of supporting patients and surgical care teams throughout the delivery of surgical care.

Barriers and facilitators to use of a digital clinical decision support tool: a cohort study combining clickstream and survey data.

OBJECTIVES: This research aimed to understand the barriers and facilitators clinicians face in using a digital clinical decision support tool-UpToDate-around the globe. DESIGN: We used a mixed-methods cohort study design that enrolled 1681 clinicians (physicians, surgeons or physician assistants) who applied for free access to UpToDate through our established donation programme during a 9-week study enrolment period. Eligibility included working outside of the USA for a limited-resource public or non-profit health facility, serving vulnerable populations, having at least intermittent internet access, completing the application in English; and not being otherwise able to afford the subscription. INTERVENTION: After consenting to study participation, clinicians received a 1-year subscription to UpToDate. They completed a series of surveys over the year, and we collected clickstream data tracking their use of the tool. PRIMARY AND SECONDARY OUTCOME MEASURES: (1) The variation in use by demographic; (2) the prevalence of barriers and facilitators of use; and (3) the relationship between barriers, facilitators and use. RESULTS: Of 1681 study enrollees, 69% were men and 71% were between 25 and 35 years old, with the plurality practicing general medicine and the majority in sub-Saharan Africa or Southeast Asia. Of the 11 barriers we assessed, fitting the tool into the workflow was a statistically significant barrier, making clinicians 50% less likely to use it. Of the 10 facilitators we assessed, a supportive professional context and utility were significant drivers of use. CONCLUSIONS: There are several clear barriers and facilitators to promoting the use of digital clinical decision support tools in practice. We recommend tools like UpToDate be implemented with complementary services. These include generating a supportive professional context, helping clinicians realise the tools' use and working with health systems to better integrate digital, clinical decision support tools into workflows.

Evaluation of an adaptive, multimodal intervention to reduce postoperative infections following cesarean delivery in Ethiopia: study protocol of the CLEAN-CS cluster-randomized stepped wedge interventional trial.

BACKGROUND: We previously developed and pilot tested Clean Cut, a program to prevent postoperative infections by improving compliance with the WHO Surgical Safety Checklist (SSC) and strengthening adherence to infection control practices. This protocol describes the CheckList Expansion for Antisepsis and iNfection Control in Cesarean Section (CLEAN-CS) trial evaluating our program's ability to reduce infections following CS and other obstetric and gynecological operations in Ethiopia. METHODS/DESIGN: CLEAN-CS is a cluster-randomized stepped wedge interventional trial with five clusters (two hospitals per cluster). It aims to assess the impact of Clean Cut on six critical perioperative infection prevention standards including antiseptic practices, antibiotic administration, and routine SCC use. The trial involves baseline data collection followed by Clean Cut training and implementation in each cluster in randomized order. The intervention consists of (1) modifying and implementing the SSC to fit local practices, (2) process mapping each standard, (3) coupling data and processes with site-specific action plans for improvement, and (4) targeted training focused on process gaps. The primary outcome is 30-day CS infection rates; secondary outcomes include other patient-level complications and compliance with standards. Assuming baseline SSI incidence of 12%, an effect size of 25% absolute reduction, and the ability to recruit 80-90 patients per cluster per month, we require a sample of 8100 patients for significance. We will report our study according to CONSORT. DISCUSSION: A cluster-randomized stepped wedge design is well-suited for evaluating this type of surgical safety program. The targeted standards are not in doubt, yet compliance is frequently difficult. Solutions are available and may be recognized by individuals, but teams dedicated to improvement are often lacking. Clean Cut was successfully piloted but requires a more rigorous methodological assessment. We seek to understand the qualities, characteristics, and resources needed to implement the program, the magnitude of effect on processes and outcomes, and to what degree it can enhance compliance with care standards. Challenges include a fraught social and political environment, pandemic travel restrictions, and a limited budget. TRIAL REGISTRATION: ClinicalTrials.gov NCT04812522 (registered on March 23, 2021); Pan-African Clinical Trials Registry PACTR202108717887402 (registered on August 24, 2021).

The Atlas Context Data Repository: A Feasible, Acceptable, and Useful Prototype for Context Data Collection and Future Predictive Analysis.

BACKGROUND: Evidence from health care and other fields indicates that context matters for successful implementation of quality improvement initiatives. Most context assessment frameworks and tools are evidence-informed; that is, based on literature and expert opinion/consensus. Quantitative evidence is lacking on which aspects of context most strongly predict implementation success. Implementers need this evidence to prioritize contextual factors for assessment and action. METHODS: The Atlas Initiative developed a prototype of surveys and data collection processes for populating the Atlas Context Data Repository, a large database that will enable statistical analyses of the relationship between context and implementation success. The prototype was piloted with eight US health care sites to assess its feasibility, acceptability, and utility for individual implementers and for use at scale. The researchers collected and analyzed quantitative data from the repository surveys, shared context assessment reports with sites, interviewed sites about their experiences, and held internal team debriefs. RESULTS: Sites found the Atlas prototype feasible and acceptable to implement and the context assessment reports useful for understanding their strengths and challenges. The Atlas Initiative successfully recruited repository participants and supported survey administration. The sample data, although too small to make predictive inferences, had reasonable distributions and low missingness. CONCLUSION: The results indicate that the Atlas Context Data Repository can be feasibly implemented at scale with minor modifications to the prototype, that the repository database can support future statistical analyses when it has more data, and that participation in the repository is valuable and worthwhile for sites.

Improving communication and teamwork during labor: A feasibility, acceptability, and safety study.

BACKGROUND: TeamBirth was designed to promote best practices in shared decision making (SDM) among care teams for people giving birth. Although leading health organizations recommend SDM to address gaps in quality of care, these recommendations are not consistently implemented in labor and delivery. METHODS: We conducted a mixed-methods trial of TeamBirth among eligible laboring patients and all clinicians (nurses, midwives, and obstetricians) at four high-volume hospitals during April 2018 to September 2019. We used patient and clinician surveys, abstracted clinical data, and administrative claims to evaluate the feasibility, acceptability, and safety of TeamBirth. RESULTS: A total of 2,669 patients (approximately 28% of eligible delivery volume) and 375 clinicians (78% response rate) responded to surveys on their experiences with TeamBirth. Among patients surveyed, 89% reported experiencing at least one structured full care team conversation ("huddle") during labor and 77% reported experiencing multiple huddles. There was a significant relationship between the number of reported huddles and patient acceptability (P < 0.001), suggestive of a dose response. Among clinicians surveyed, 90% would recommend TeamBirth for use in other labor and delivery units. There were no significant changes in maternal and newborn safety measures. CONCLUSIONS: Implementing a care process that aims to improve communication and teamwork during labor with high fidelity is feasible. The process is acceptable to patients and clinicians and shows no negative effects on patient safety. Future work should evaluate the effectiveness of TeamBirth in improving care experience and health outcomes.

Enablers and barriers to newborn screening for sickle cell disease in Africa: results from a qualitative study involving programmes in six countries.

OBJECTIVES: Given the fundamental role of newborn bloodspot screening (NBS) to enable prompt diagnosis and optimal clinical management of individuals with sickle cell disease (SCD), we sought to systematically assess enablers and barriers to implementation of NBS programmes for SCD in Africa using established qualitative research methods. SETTING: Childbirth centres and NBS laboratories from six countries in East, West and Southern Africa. PARTICIPANTS: Eight programme leaders involved with establishing and operating NBS programmes for SCD in Angola, Democratic Republic of Congo, Ghana, Liberia, Nigeria and Tanzania. PRIMARY AND SECONDARY OUTCOME MEASURES: Data obtained through a structured, phased interview approach were analysed using a combination of inductive and deductive codes and used to determine primary themes related to the implementation and sustainability of SCD NBS programmes. RESULTS: Four primary themes emerged from the analysis relating to governance (eg, pragmatic considerations when deploying overcommitted clinical staff to perform NBS), technical (eg, design and execution of operational processes), cultural (eg, variability of knowledge and perceptions of community-based staff) and financial (eg, issues that can arise when external funding may effectively preclude government inputs) aspects. Key learnings included perceived factors that contribute to long-term NBS programme sustainability. CONCLUSIONS: The establishment of enduring NBS programmes is a proven approach to improving the health of populations with SCD. Organising such programmes in Africa is feasible, but initial implementation does not assure sustainability. Our analysis suggests that future programmes should prioritise government partner participation and funding from the earliest stages of programme development.

Implementation strategies within a complex environment: A qualitative study of a shared decision-making intervention during childbirth.

BACKGROUND: Shared decision-making (SDM) may improve communication, teamwork, patient experience, respectful maternity care, and safety during childbirth. Despite these benefits, SDM is not widely implemented, and strategies for implementing SDM interventions are not well described. We assessed the acceptability and feasibility of TeamBirth, an SDM solution that centers the birthing person in decision-making through simple tools that structure communication among the care team. We identified and described implementation strategies that bridge the gap between knowledge and practice. METHODS: We conducted a qualitative study among four hospitals in the United States to understand the acceptability and feasibility of TeamBirth. We interviewed 103 clinicians and conducted 16 focus group discussions with 52 implementers between June 2018 and October 2019. We drew on the Consolidated Framework for Implementation Research to understand acceptability and feasibility, and to identify and describe the underlying contextual factors that affected implementation. RESULTS: We found that clinicians and implementers valued TeamBirth for promoting clarity about care plans among the direct care team and for centering the birthing person in decision-making. Contextual factors that affected implementation included strength of leadership, physician practice models, and quality improvement culture. Effective implementation strategies included regular data feedback and adapting "flexible" components of TeamBirth to the local context. DISCUSSION: By identifying and describing TeamBirth's contextual factors and implementation strategies, our findings can help bridge the implementation gap of SDM interventions. Our in-depth analysis offers tangible lessons for other labor and delivery unit leaders as they seek to integrate SDM practices in their own settings.