The Potential for Health Information Technology Tools to Reduce Racial Disparities in Maternal Morbidity and Mortality

Meta-ethnography of the Experiences of Women of Color Who Survived Severe Maternal Morbidity or Birth Complications

OBJECTIVE

To develop a deeper understanding of the health care experiences of women of color affected by severe maternal morbidity (SMM) or birth complications in the United States and opportunities to improve the delivery of maternal health care.

DATA SOURCES

PubMed, CINAHL, Embase, and Scopus.

STUDY SELECTION

We included qualitative studies on the experiences of pregnancy or childbirth among women of color in the United States published within the past 10 years (to reflect recent societal events and obstetric practices) in which researchers examined women's experiences of SMM or birth complications.

DATA EXTRACTION

Five reports of qualitative research studies met inclusion criteria. We assessed the methodological quality of each study using the JBI (Joanna Briggs Institute) critical appraisal checklist for qualitative research. We extracted the following data from the included studies: participants' demographic characteristics (i.e., race/ethnicity, age, experiences), methodological characteristics of the studies (i.e., sample size, research design, data collection, data analysis), and individual study metaphors (i.e., concepts, phrases, participant quotes) related to the overarching themes.

DATA SYNTHESIS

We used the meta-ethnographic approach of Noblit and Hare (1988) to critically examine studies, translate the studies into one another, and synthesize reciprocal translations. Four overarching themes emerged from the meta-synthesis: Lack of Knowledge; Stigma, Discrimination, and/or Bias; Provider Communication Issues; and Barriers to Care and Services. Each overarching theme had complicating factors, which represented factors that exacerbated problems, and mitigating factors, which represented factors that alleviated some negative experiences. Complex layers of varying demographic characteristics and social determinants of health shaped women's individual experiences.

CONCLUSION

The experiences of women of color with SMM or complications during pregnancy and/or childbirth reveal shortcomings in the delivery of maternal health care. Findings suggest opportunities for improvement across various levels of the health care system. Further qualitative studies using high-quality methodology are needed on this topic given that the research is limited.

Challenges and opportunities in perinatal public health: the utility of perinatal health inequality dashboards in addressing disparities in maternal and neonatal outcomes

INTRODUCTION

In clinical settings, digital dashboards display medical data, with the aim of identifying trends and signals. In so doing these contribute towards improving service delivery and care within hospitals. It is not clear whether the utility of perinatal health equity dashboards could be used to identify health inequality trends that could potentially impact on health service delivery, care and public health interventions. This study aims to evaluate the implementation of health inequality dashboards that address disparities in maternal and neonatal outcomes, with a specific focus on identifying key challenges encountered during their deployment and use in healthcare settings.

METHODS

Three databases, namely Embase, CINAHL, and Medline were searched to identify relevant studies in English Language published between 2010 and 2022. All findings were reported according to PRISMA guidelines for scoping reviews.

RESULTS

Of 670 identified articles, only 13 met the inclusion criteria. The study identified three key themes: dashboard functionality, data accuracy, and challenges in collecting health inequality data. Dashboards were used to visualize disparities, with functionalities focusing on specific audiences, contents, and utility. Issues with data completeness, standardization, and challenges in collecting consistent health inequality data, especially from diverse ethnic groups, hindered the accurate tracking of maternal and neonatal disparities.

CONCLUSION

The use of perinatal health inequality dashboards is a critical step forward in optimizing maternal and neonatal care by providing targeted interventions. However, further research is needed to assess their long-term impact on reducing health inequalities, while addressing challenges related to data accuracy, completeness, and standardization to improve their effectiveness.

Social Determinants of Sepsis Mortality in the United States: A Retrospective, Epidemiologic Analysis

Objective

To determine whether neighborhood-level social determinants of health (SDoH) influence mortality following sepsis in the United States.

Study Setting and Design

Retrospective analysis of data from 4.4 million hospitalized patients diagnosed with sepsis, identified using International Classification of Diseases-10 codes, across the United States.

Data Sources and Analytic Sample

De-identified, aggregated data were sourced from the TriNetX Diamond Network. SDoH variables included income, housing cost burden, broadband access, park proximity, racial/ethnic diversity, and the Area Deprivation Index (ADI). The primary outcome was mortality, assessed using univariate and multivariate binomial generalized linear models. Predictors with high multicollinearity (Variance Inflation Factor > 5) were excluded to enhance model stability.

Principal Findings

Lower median income, higher ADI scores, limited park access, and lack of broadband connectivity were strongly associated with increased sepsis mortality. Unexpectedly, greater racial/ethnic diversity was negatively associated with mortality, possibly reflecting regional disparities in healthcare access and socioeconomic conditions. Multivariate analyses revealed that the inclusion of SDoH variables attenuated some effects observed in univariate models, highlighting their complex interplay. Random Forest analysis identified park access as the most important predictor of sepsis mortality, emphasizing its role as a potential proxy for broader neighborhood resources.

Conclusions

Neighborhood-level SDoH are critical for risk stratification in sepsis prognostic models and should be systematically integrated into predictive frameworks. These findings highlight the need for targeted public health interventions to address social vulnerabilities, enhance access to green spaces, and reduce disparities in sepsis outcomes across diverse populations.

Protocol for a randomized controlled trial to evaluate the effectiveness of a telehealth group intervention to reduce perinatal depressive symptoms

BACKGROUND

Perinatal depression and anxiety (PDA) affect approximately 20 % of individuals and are associated with adverse outcomes, including preterm birth, low birth weight, and impaired cognitive development of the child. Telehealth may reduce access barriers to needed mental health services. However, lack of disseminated, standardized study protocols aimed at investigating the role of telehealth in reducing PDA symptoms limits the ability to compare findings across studies. The purpose of this paper is to provide a conceptual framework and a randomized controlled trial protocol (RCT) for use in future studies.

METHODS AND ANALYSIS

An RCT was designed to evaluate the effectiveness of a group videoconference intervention (VCI) to reduce PDA symptoms across pregnancy and postpartum period. Participants are randomly assigned to study groups: VCI + standard of care, or attention control (AC) + standard of care. Both groups have weekly one-hour group videoconference sessions for 9 weeks. The VCI groups are facilitated by a mental health professional using a manualized program based on mindfulness-based practices and cognitive behavioral therapy (MBCT). The AC groups are facilitated by a registered nurse using a manualized program for childbirth and parenting education. The primary outcomes are depressive symptoms as measured by the Edinburgh Postnatal Depression Scale (EPDS) and anxiety symptoms as measured by the Generalized Anxiety Disorder (GAD-7).

CONCLUSION

This RCT study protocol can be used as a standard approach to improve the ability to compare findings across studies, applied in any setting (e.g., rural or urban), and adapted to diverse communities.

TRIAL REGISTRATION

ClinicalTrials.govNCT03932760.

Racial/ethnic differences in pre-pregnancy conditions and adverse maternal outcomes in the nuMoM2b cohort: A population-based cohort study

OBJECTIVES

To determine how pre-existing conditions contribute to racial disparities in adverse maternal outcomes and incorporate these conditions into models to improve risk prediction for racial minority subgroups.

STUDY DESIGN

We used data from the "Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-be (nuMoM2b)" observational cohort study. We defined multimorbidity as the co-occurrence of two or more pre-pregnancy conditions. The primary outcomes of interest were severe preeclampsia, postpartum readmission, and blood transfusion during pregnancy or up to 14 days postpartum. We used weighted Poisson regression with robust variance to estimate adjusted risk ratios and 95% confidence intervals, and we used mediation analysis to evaluate the contribution of the combined effects of pre-pregnancy conditions to racial/ethnic disparities. We also evaluated the predictive performance of our regression models by racial subgroup using the area under the receiver operating characteristic curve (AUC) metric.

RESULTS

In the nuMoM2b cohort (n = 8729), accounting for pre-existing conditions attenuated the association between non-Hispanic Black race/ethnicity and risk of severe preeclampsia. Cardiovascular and kidney conditions were associated with risk for severe preeclampsia among all women (aRR, 1.77; CI, 1.61-1.96, and aRR, 1.27; CI, 1.03-1.56 respectively). The mediation analysis results were not statistically significant; however, cardiovascular conditions explained 36.6% of the association between non-Hispanic Black race/ethnicity and severe preeclampsia (p = 0.07). The addition of pre-pregnancy conditions increased model performance for the prediction of severe preeclampsia.

CONCLUSIONS

Pre-existing conditions may explain some of the association between non-Hispanic Black race/ethnicity and severe preeclampsia. Specific pre-pregnancy conditions were associated with adverse maternal outcomes and the incorporation of comorbidities improved the performance of most risk prediction models.

The impact of county-level factors on meaningful use of electronic health records (EHRs) among primary care providers

This study examines the impact of county-level factors on "meaningful use" (MU) of electronic health records (EHRs) for 8415 primary care providers (PCPs) that enrolled in the Florida Medicaid EHR Incentive Program through adopting, improving, or upgrading (AIU) a certified EHR technology. PCPs received incentive payments at enrollment and if they used their EHRs in meaningful ways; ways that benefit patients and providers alike they received additional payments. We conducted a retrospective cohort study of these providers over the 2011-2018 period while linking their records to other state data. We used the core constructs of the resource dependence theory (RDT), a well-established organization theory in business management, to operationalize the county-level variables. These variables were rurality, poverty, educational attainment, managed care penetration, changes in population, and number of PCPs per capita. The unit of analysis was provider-years. For practical and computational purposes, all the county variables were dichotomized. We used analysis of variance (ANOVA) to test for differences in MU attestation rates across each county variable. Odds ratios and corresponding 95% confidence intervals were derived from pooled logistic regressions using generalized estimated equations (GEE) with the binomial family and logit link functions. Clustered standard errors were used. Approximately 42% of these providers attested to MU after receiving first-year incentives. Rurality and poverty were significantly associated with MU. To some degree, managed care penetration, change in population size, and number of PCPs per capita were also associated with MU. Policy makers and healthcare managers should not ignore the contribution of county-level factors in the diffusion of EHRs among physician practices. These county-level findings provide important insights about EHR diffusion in places where traditionally underserved populations live. This county-perspective is particularly important because of the potential for health IT to enable public health monitoring and population health management that might benefit individuals beyond the patients treated by the Medicaid providers.

Rosie, a Health Education Question-and-Answer Chatbot for New Mothers: Randomized Pilot Study

BACKGROUND

Stark disparities exist in maternal and child outcomes and there is a need to provide timely and accurate health information.

OBJECTIVE

In this pilot study, we assessed the feasibility and acceptability of a health chatbot for new mothers of color.

METHODS

Rosie, a question-and-answer chatbot, was developed as a mobile app and is available to answer questions about pregnancy, parenting, and child development. From January 9, 2023, to February 9, 2023, participants were recruited using social media posts and through engagement with community organizations. Inclusion criteria included being aged ≥14 years, being a woman of color, and either being currently pregnant or having given birth within the past 6 months. Participants were randomly assigned to the Rosie treatment group (15/29, 52% received the Rosie app) or control group (14/29, 48% received a children's book each month) for 3 months. Those assigned to the treatment group could ask Rosie questions and receive an immediate response generated from Rosie's knowledgebase. Upon detection of a possible health emergency, Rosie sends emergency resources and relevant hotline information. In addition, a study staff member, who is a clinical social worker, reaches out to the participant within 24 hours to follow up. Preintervention and postintervention tests were completed to qualitatively and quantitatively evaluate Rosie and describe changes across key health outcomes, including postpartum depression and the frequency of emergency room visits. These measurements were used to inform the clinical trial's sample size calculations.

RESULTS

Of 41 individuals who were screened and eligible, 31 (76%) enrolled and 29 (71%) were retained in the study. More than 87% (13/15) of Rosie treatment group members reported using Rosie daily (5/15, 33%) or weekly (8/15, 53%) across the 3-month study period. Most users reported that Rosie was easy to use (14/15, 93%) and provided responses quickly (13/15, 87%). The remaining issues identified included crashing of the app (8/15, 53%), and users were not satisfied with some of Rosie's answers (12/15, 80%). Mothers in both the Rosie treatment group and control group experienced a decline in depression scores from pretest to posttest periods, but the decline was statistically significant only among treatment group mothers (P=.008). In addition, a low proportion of treatment group infants had emergency room visits (1/11, 9%) compared with control group members (3/13, 23%). Nonetheless, no between-group differences reached statistical significance at P<.05.

CONCLUSIONS

Rosie was found to be an acceptable, feasible, and appropriate intervention for ethnic and racial minority pregnant women and mothers of infants owing to the chatbot's ability to provide a personalized, flexible tool to increase the timeliness and accessibility of high-quality health information to individuals during a period of elevated health risks for the mother and child.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06053515; https://clinicaltrials.gov/study/NCT06053515.

Computational Phenotyping of OMOP CDM Normalized EHR for Prenatal and Postpartum Episodes: An Informatics Framework and Clinical Implementation on All of Us

The use of Electronic Health Records (EHR) in pregnancy care and obstetrics-gynecology (OB/GYN) research has increased in recent years. In pregnancy, timing is important because clinical characteristics, risks, and patient management are different in each stage of pregnancy. However, the difficulty of accurately differentiating pregnancy episodes and temporal information of clinical events presents unique challenges for EHR phenotyping. In this work, we introduced the concept of time relativity and proposed a comprehensive framework of computational phenotyping for prenatal and postpartum episodes based on the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). We implemented it on the All of Us national EHR database and identified 6,280 pregnancies with accurate start and end dates among 5,399 female patients. With the ability to identify different episodes in pregnancy care, this framework provides new opportunities for phenotyping complex clinical events and gestational morbidities for pregnant women, thus improving maternal and infant health.

The evolution of health system planning and implementation of maternal telehealth services during the COVID-19 Pandemic

Background

Differential access to healthcare is associated with disparities in maternal outcomes. Telehealth is one approach for improving access to maternal services. However, little is known regarding how health systems leverage telehealth to close the access gap.

Objective

This study examines how health systems have approached decisions about using telehealth for maternal services before and during the COVID-19 public health emergency and what factors were considered.

Methods

We conducted semi-structured interviews with 15 health system leaders between July and October 2021 and June and August 2022. We used a rapid analysis followed by a content analysis approach.

Results

Five health systems did not provide maternal telehealth services before the PHE due to a lack of reimbursement. Two health systems provided limited services as research endeavors, and one had integrated telehealth into routine maternity care. During the PHE, all transitioned to telehealth, with the primary consideration being patient and staff safety. At the time of the interview, key considerations shifted to patient access, patient preferences, patient complexity, return on investment, and staff burnout. However, several barriers impacted telehealth use, including coverage of portable devices and connectivity. These issues were reported to be common among underinsured, low-income, and rural patients. Health systems with particularly advanced capabilities worked on approaches to fill access gaps for these patients.

Conclusion

Some health systems prioritized telehealth to improve access to high-quality maternal services for patients at the highest risk of adverse outcomes. However, policy and patient-level barriers to equitable implementation of these services persist.

Health equity integrated epilepsy care and research: A narrative review

BACKGROUND

With the unanimous approval of the Intersectoral Global Action Plan on epilepsy and other neurological disorders by the World Health Organization in May 2022, there are strong imperatives to work towards equitable neurological care.

AIMS

Using epilepsy as an entry point to other neurologic conditions, we discuss disparities faced by marginalized groups including racial/ethnic minorities, Americans living in rural communities, and Americans with low socioeconomic status.

MATERIALS AND METHODS

The National Institute on Minority Health Disparities Research Framework (NIMHD) was used to conduct a narrative review through a health equity lens to create an adapted framework for epilepsy and propose approaches to working towards equitable epilepsy and neurological care.

RESULTS

In this narrative review, we identified priority populations (racial and ethnic minority, rural-residing, and low socioeconomic status persons with epilepsy) and outcomes (likelihood to see a neurologist, be prescribed antiseizure medications, undergo epilepsy surgery, and be hospitalized) to explore disparities in epilepsy and guide our focused literature search using PubMed. In an adapted NIMHD framework, we examined individual, interpersonal, community, and societal level contributors to health disparities across five domains: (1) behavioral, (2) physical/built environment, (3) sociocultural, (4) environment, and (5) healthcare system. We take a health equity approach to propose initiatives that target modifiable factors that impact disparities and advocate for sustainable change for priority populations.

DISCUSSION

To improve equity, healthcare providers and relevant societal stakeholders can advocate for improved care coordination, referrals for epilepsy surgery, access to care, health informatics interventions, and education (i.e., to providers, patients, and communities). More broadly, stakeholders can advocate for reforms in medical education, and in the American health insurance landscape.

CONCLUSIONS

Equitable healthcare should be a priority in neurological care.

Woman-centred care and integrated electronic medical records within Australian maternity settings: Point prevalence audit and observational study

OBJECTIVE

Transition to paperless records brings new challenges to midwifery practice across the continuum of woman-centred care. There is limited and conflicting evidence on the relative benefits of electronic medical records in maternity settings. This article aims to inform the use of integrative electronic medical records within the maternity services' environment with attention to the midwife-woman relationship.

DESIGN

This descriptive two-part study includes 1) an audit of electronic records in the early period following implementation (2-time points); and 2) an observational study to observe midwives' practice relating to electronic record use.

SETTING

Two regional tertiary public hospitals PARTICIPANTS: Midwives providing care for childbearing women across antenatal, intrapartum and postnatal areas.

FINDINGS

400 integrated electronic medical records were audited for completeness. Most fields had high levels of complete data in the correct location. However, between time 1 (T1) and time 2 (T2), persistent missing data (foetal heart rate documented 30 minutely T1 36%; T2 42%), and incomplete or incorrectly located data (pathology results T1:63%; T2 54%; perineal repair T1 60%; T2 46%) were identified. Observationally, midwives were actively engaged with the integrative electronic medical record between 23% to 68% (median 46%; IQR 16) of the time.

CONCLUSION

Midwives spent a significant amount of time completing documentation during clinical episodes of care. Largely, this documentation was found to be accurate, yet exceptions to data completeness, precision and location remained, indicating some concerns with software usability.

IMPLICATIONS FOR PRACTICE

Time-intensive monitoring and documentation may hinder woman-centred midwifery care.

Policy measures to expand home visiting programs in the postpartum period

The postpartum period is characterized by a myriad of changes-emotional, physical, and spiritual; whilst the psychosocial health of new parents is also at risk. More alarmingly, the majority of pregnancy-related deaths in the U.S. occur during this critical period. The higher maternal mortality rate is further stratified by dramatic racial and ethnic variations: Black, brown, and American Indian/Alaska Native indigenous people have 3-4x higher rates of pregnancy-related deaths and severe morbidity than their White, non-Hispanic, and Asian/Pacific Islander counterparts. This policy brief explores how expanding evidence based home visiting programs (HVPs) and strengthening reimbursement policies that invest in such programs can be pivoted to optimize the scope of care in the postpartum period.

Black-White disparity in severe cardiovascular maternal morbidity: A systematic review and meta-analysis

BACKGROUND

To synthesize existing evidence on Black-White disparities in the prevalence of severe cardiovascular maternal morbidity.

METHODS

We searched MEDLINE, EMBASE, and CINAHL for observational studies published before July 31, 2021 that compared the risk of severe cardiovascular maternal morbidity between Black and White women. The outcome was severe cardiovascular maternal morbidity, including acute myocardial infarction, peripartum cardiomyopathy, and stroke during pregnancy, delivery, or postpartum. We extracted relevant information including adjusted and unadjusted effect estimates. We used random-effects models to estimate the pooled association between race and severe cardiovascular maternal morbidity, presented as odds ratios with 95% confidence intervals for the comparison of Black women relative to White women.

RESULTS

We included 18 studies that met the eligibility criteria for systematic review and meta-analysis. All studies were conducted in the United States and included a total of 7,656,876 Black women and 26,412,600 White women. Compared with White women, Black women had an increased risk of any severe cardiovascular maternal morbidity (adjusted odds ratio, 1.90; 95% confidence interval, 1.54-2.33). Black women were at risk of acute myocardial infarction (adjusted odds ratio, 1.38; 95% confidence interval, 1.14-1.68), peripartum cardiomyopathy (adjusted odds ratio, 1.71; 95% confidence interval, 1.51-1.94), and stroke (adjusted odds ratio, 2.13; 95% confidence interval, 1.39-3.26).

CONCLUSIONS

Black women have a considerably higher risk of severe cardiovascular maternal morbidity than White women, including acute myocardial infarction, peripartum cardiomyopathy, and stroke. Reducing inequality in adverse cardiovascular outcomes of pregnancy between Black and White women should be prioritized.

An HIT-Supported Care Coordination Framework for Reducing Structural Racism and Discrimination for Patients With ADRD

Black and Latinx Americans are disproportionately at greater risk for having Alzheimer's disease and related dementias (ADRD) than White Americans. Such differences in risk for ADRD are arguably explained through health disparities, social inequities, and historical policies. Structural racism and discrimination (SRD), defined as "macro-level conditions that limit opportunities, resources, and well-being of less privileged groups," have been linked with common comorbidities of ADRD, including hypertension, obesity, diabetes, depression. Given the historical impact of SRD-including discriminatory housing policies resulting in racial residential segregation that has been shown to limit access to education, employment, and healthcare-Black and Latinx populations with ADRD are directly or indirectly negatively affected by SRD in terms of access, quality and cost for healthcare. Emerging studies have brought to light the value of structural-level hospital and public health collaboration on care coordination for improving healthcare quality and access, and thus could serve as a macro-level mechanism for addressing disparities for minoritized racial and ethnic populations with ADRD. This paper presents a conceptual framework delineating how care coordination can successfully be achieved through health information technology (HIT) systems and ultimately address SRD. To address health inequities, it is therefore critical that policy initiatives invest in HIT capacities and infrastructures to promote care coordination, identify patient needs and preferences, and promote engagement of patients with ADRD and their caregivers.

Economic burden of maternal mortality in the USA, 2018-2020

Aim: To evaluate the economic burden of age- and race/ethnicity-based US maternal mortality disparities. Economic burden is estimated by years of potential life lost (YPLL) and value of statistical life (VSL). Methods: Maternal mortality counts (2018-2020) were obtained from the CDC Wide-ranging Online Data for Epidemiologic Research database. Life-expectancy data were obtained from the Social Security actuarial tables. YPLL and VSL were calculated and stratified by age (classified as under 25, 25-39, and 40 and over) and race/ethnicity (classified as Hispanic, non-Hispanic White, non-Hispanic Black). Results: Economic measures associated with maternal mortality increased by an estimated 30%, from a YPLL of 32,824 and VSL of US$7.9 billion in 2018 to a YPLL of 43,131 and VSL of US$10.4 billion in 2020. Conclusion: Our findings suggest that age, race and ethnicity are major drivers of the US maternal mortality economic burden.

From Research to Practice in OBGYN: How to Critically Interpret Studies in Implementation

There is a growing body of research that addresses implementation-focused questions within obstetrics and gynecology. With this document, we provide clinicians with the necessary tools to critically read and interpret literature evaluating an implementation endeavor. We describe the process of implementation research, as well as common study designs and outcomes. Furthermore, we detail pitfalls in the design and analysis of implementation studies, using examples within obstetrics and gynecology. Armed with this knowledge, clinicians may better be able to translate a paper on implementation into improvement efforts in their own clinical practice setting.

Successes and Challenges of Implementing Telehealth for Diverse Patient Populations: Attending to Prenatal Care during COVID-19

Background

Although telehealth appears to have been accepted among some obstetric populations before the COVID-19 pandemic, patients’ receptivity and experience with the rapid conversion of this mode of health care delivery are unknown.

Objective

In this study, we examine patients' prenatal care needs, preferences, and experiences during the COVID-19 pandemic, with the aim of supporting the development of successful models to serve the needs of pregnant patients, obstetric providers, and health care systems during this time.

Methods

This study involved qualitative methods to explore pregnant patients’ experiences with prenatal health care delivery at the onset of the COVID-19 pandemic. We conducted in-depth interviews with pregnant patients in the first and second trimester of pregnancy who received prenatal care in Cleveland, Ohio, from May to July 2020. An interview guide was used to probe experiences with health care delivery as it rapidly evolved at the onset of the pandemic.

Results

Although advantages of telehealth were noted, there were several concerns noted with the broad implementation of telehealth for prenatal care during the pandemic. This included concerns about monitoring the pregnancy at home; the need for additional reassurance for the pregnancy, given the uncertainties presented by the pandemic; and the ability to have effective patient-provider discussions via a telehealth visit. The need to tailor telehealth to prenatal health care delivery was noted.

Conclusions

Although previous studies have demonstrated that telehealth is a flexible and convenient alternative for some prenatal appointments, our study suggests that there may be specific needs and concerns among the diverse patient groups using this modality during the pandemic. More research is needed to understand patients' experiences with telehealth during the pandemic and develop approaches that are responsive to the needs and preferences of patients.

How Telehealth Can be Used to Improve Maternal and Child Health Outcomes: A Population Approach

Mobile applications and telehealth services are being used to unprecedented degrees in maternal and child care, with uncertain impact on population health outcomes. In this article, we will review the role of the COVID-19 pandemic in accelerating large scale implementation of telehealth services, known and anticipated impacts on maternal and child health and related inequities, and potential strategies to optimize outcomes at the population level.

Summary and Conclusion: Framing a New Research Agenda on Maternal Morbidities and Mortality in the United States

Maternal mortality in the United States is at an alarming rate. Research can have an important role in addressing maternal mortality, but our current understanding of its causes and prevention remains woefully incomplete. The collection of articles in this volume begin to frame a new research agenda by asking four critical questions. First, what truly makes vulnerable populations vulnerable? Second, how do we prevent pregnancy complications and their long-term sequelae? Third, how can we make maternity care safer for all women? Finally, what can we do about the social, structural, and environmental determinants of maternal health? Answers to these questions can help inform practice, systems, and policy change to reduce and ultimately eradicate maternal deaths in the United States.