Development and testing of a decision aid to achieve shared decision-making for routine labor induction.

BACKGROUND: This quality improvement project aimed to create a decision aid for labor induction in healthy pregnancies at or beyond 39 weeks that met the needs of pregnant people least likely to experience shared decision-making and to identify and test implementation strategies to support its use in prenatal care. METHODS: We used quality improvement and qualitative methods to develop, test, and refine a patient decision aid. The decision aid was tested in three languages by providers across obstetrics, family medicine, and midwifery practices at a tertiary care hospital and two community health centers. Outcomes included patients' understanding of their choices, pros and cons of choices, and the decision being theirs or a shared one with their provider. RESULTS: Patient interview data indicated that shared decision-making on labor induction was achieved. Across three Plan-Do-Study-Act cycles, we interviewed a diverse group of 24 pregnant people: 20 were people of color, 16 were publicly insured, and 15 were born outside the United States. All but one (23/24) reported feeling the decision was theirs or a shared one with their provider. The majority could name induction choices they had along with pros and cons. Interviewees described the decision-making experience as empowering and positive. Nine medical providers tested the decision aid and gave feedback. Providers stated the tool helped improve the quality of their counseling and reduce bias. CONCLUSION: This project suggests that using an evidence-based and well-tested decision aid can help achieve shared decision-making on labor induction for a diverse group of pregnant people.

Factors Associated with Unplanned Primary Cesarean Birth: Secondary Analysis of the Listening to Mothers in California Survey.

BACKGROUND: In many countries, cesarean section has become the most common major surgical procedure. Most nations have high cesarean birth rates, suggesting overuse. Due to the excess harm and expense associated with unneeded cesareans, many health systems are seeking approaches to safe reduction of cesarean rates. Surveys of childbearing women are a distinctive and underutilized source of data for examining factors that may contribute to cesarean reduction. METHODS: To identify factors associated with unplanned primary cesarean birth, we carried out a secondary analysis of the Listening to Mothers in California Survey, limited to the subgroup who had not had a previous cesarean birth and did not have a planned primary cesarean (n = 1,964). Participants were identified through birth certificate sampling and contacted initially by mail and then by telephone, text message and email, as available. Sampled women could participate in English or Spanish, on any device or with a telephone interviewer. Following bivariate demographic, knowledge and attitude, and labor management analyses, we carried out multivariable analyses to adjust with covariates and identify factors associated with unplanned primary cesarean birth. RESULTS: Whereas knowledge, attitudes, preferences and behaviors of the survey participants were not associated with having an unplanned primary cesarean birth, their experience of pressure from a health professional to have a cesarean and a series of labor management practices were strongly associated with how they gave birth. These practices included attempted induction of labor, early hospital admission, and labor augmentation. Women's reports of pressure from a health professional to have a primary cesarean were strongly related to the likelihood of cesarean birth. CONCLUSIONS: While women largely wish to avoid unneeded childbirth interventions, their knowledge, preferences and care arrangement practices did not appear to impact their likelihood of an unplanned primary cesarean birth. By contrast, a series of labor management practices and perceived health professional pressure to have a cesarean were associated with unplanned primary cesarean birth. Improving ways to engage childbearing women and implementing changes in labor management and communication practices may be needed to reduce unwarranted cesarean birth.

Does maternity care decision-making conform to shared decision- making standards for repeat cesarean and labor induction after suspected macrosomia?

BACKGROUND: In a national United States survey, we investigated whether crucial shared decision-making standards were met for 2 common maternity care decisions. METHODS: Secondary analysis of Listening to Mothers III. A sequence of validated questions concerning shared decision-making was adapted to 2 maternity care decisions: to induce labor or wait for spontaneous onset of labor among women who were told their baby may be "getting quite large" (N = 349); and for women with 1 or 2 prior cesareans (N = 393), the decision to have a repeat cesarean. RESULTS: Almost half (N = 163; 47%) of women who were told their baby might be large reported engaging in a discussion concerning possible labor induction vs waiting for labor, while a large majority (N = 321; 82%) of women with a prior cesarean discussed the option of a repeat cesarean or a planned vaginal birth after cesarean (VBAC). Women who engaged in discussions received disproportionate information about having the interventions and were more likely to experience the interventions (68% induction, 87% repeat cesarean) than women who did not. After adjustment, women who reported that their provider recommended scheduling a repeat cesarean were 14 times more likely to give birth via cesarean compared with those whose providers recommended planning VBAC (AOR 14.2; 95% CI: 3.2, 63.0). CONCLUSION: Our findings suggest that, for the decisions in question, established standards of shared decision-making are not being reliably implemented in maternity care despite opportunities to do so. Provider recommendations and the disproportionate conveyance of reasons for an intervention appear to be related to higher levels of intervention.

Birth Outcomes by Infertility Treatment: Analyses of the Population-Based Cohort: Massachusetts Outcomes Study of Assisted Reproductive Technologies (MOSART).

OBJECTIVE: To evaluate pregnancy and birth outcomes by type of infertility treatment received. STUDY DESIGN: Assisted reproductive technology (ART) data on women who were both treated and gave birth in Massachusetts were linked to vital records and hospital data. Singleton and twin live births were categorized by ART treatment parameters. Risks for adverse outcomes (pregnancy-induced hypertension [PIH], gestational diabetes [GDM, primary cesarean [CS], prematurity [PTB], low birthweight [LBW], small for gestational age [SGA], large for gestational age [LGA], and birth defects [BD]) were modeled using logistic regression (adjusted odds ratios and 95% confidence intervals), adjusted for parental and treatment factors. GDM and PIH were additionally modeled as adverse outcomes. RESULTS: Among the 8,948 pregnancies, risks were significantly higher among twins (PIH 2.58, GDM 1.30, CS 5.83, PTB 11.84, LBW 10.68, SGA 2.17, BD 2.54), donor oocytes (PIH 1.87, CS 1.43, PTB 1.43), ICSI (SGA 1.20), and the presence of > 1 fetal heartbeat at 6 weeks' gestation (2 fetal heartbeats: PTB 1.49, LBW 1.57; 3 fetal heartbeats: PTB 2.07, LBW 2.30, SGA 2.04). Thawed embryos were associated with a higher risk for PIH (1.30) but lower risks for LBW (0.79) and SGA (0.38). GDM was associated with increased risks for CS (1.22), LGA (1.40), and BD (1.50); PIH was associated with risks for CS (1.86), PTB (2.70), and LBW (1.83). CONCLUSION: Plurality is the predominant ART treatment risk factor associated with substantial excess morbidity for both mother and infants.

Is the wrong question being asked in infertility research?

A persistent finding is that assisted reproductive technology (ART) is associated with compromised birth outcomes, including higher risks for prematurity, low birthweight, and congenital malformations, even among singletons. Over the past decade, our research group, the Massachusetts Outcome Study of Assisted Reproductive Technology (MOSART), has evaluated pregnancy and birth outcomes among three groups of women, those women treated with ART, those with indicators of subfertility but without ART treatment, and fertile women. We have also explored the influence of infertility-related diagnoses on outcomes for women and infants. Over the course of our research, we have changed our perspective from an original focus on ART treatment parameters as the primary cause of excess morbidity to one centered instead on the underlying infertility-related diagnoses. This paper summarizes the research findings from our group that support this change in focus for infertility-based research from a primary emphasis on ART treatment to greater attention to the contribution of preexisting pathology underlying the infertility and suggests directions for future analyses.

Racial and Ethnic Differences in the Likelihood of Vaginal Birth After Cesarean Delivery.

BACKGROUND: A major contributor to the increase in cesarean deliveries over recent decades is the decline in vaginal births after cesarean (VBAC). Racial and ethnic disparities in other perinatal outcomes are widely recognized, but few studies have been directed toward racial/ethnic differences in VBAC rates. METHODS: We used the population-based Massachusetts Pregnancy to Early Life (PELL) database to investigate racial/ethnic differences in rates of VBAC for Massachusetts residents with one prior cesarean from 1998 to 2008. RESULTS: The overall VBAC rate was 17.3 percent. After adjusting for demographic, behavioral, and medical risk factors, non-Hispanic Asian mothers had a greater likelihood of VBAC than non-Hispanic white mothers (adjusted risk ratio 1.31 [95% CI 1.23-1.39]). No other racial/ethnic group was significantly different from non-Hispanic whites in adjusted analyses. The likelihood of VBAC also decreased with increasing maternal age. DISCUSSION: Non-Hispanic Asian women are significantly more likely to have VBAC than non-Hispanic white women. Efforts to reduce cesarean delivery rates in the United States should address these disparities. Future research should investigate factors underlying these differences to ensure that all women have access to appropriate maternity care services.

Labor and Delivery Experiences of Mothers with Suspected Large Babies.

OBJECTIVE: To characterize the prevalence of and factors associated with clinicians' prenatal suspicion of a large baby; and to determine whether communicating fetal size concerns to patients was associated with labor and delivery interventions and outcomes. METHODS: We examined data from women without a prior cesarean who responded to Listening to Mothers III, a nationally representative survey of women who had given birth between July 2011 and June 2012 (n = 1960). We estimated the effect of having a suspected large baby (SLB) on the odds of six labor and delivery outcomes. RESULTS: Nearly one-third (31.2%) of women were told by their maternity care providers that their babies might be getting "quite large"; however, only 9.9% delivered a baby weighing ≥4000 g (19.7% among mothers with SLBs, 5.5% without). Women with SLBs had increased adjusted odds of medically-induced labor (AOR 1.9; 95% CI 1.4-2.6), attempted self-induced labor (AOR 1.9; 95% CI 1.4-2.7), and use of epidural analgesics (AOR 2.0; 95% CI 1.4-2.9). No differences were noted for overall cesarean rates, although women with SLBs were more likely to ask for (AOR 4.6; 95% CI 2.8-7.6) and have planned (AOR 1.8; 95% CI 1.0-4.5) cesarean deliveries. These associations were not affected by adjustment for gestational age and birthweight. CONCLUSIONS FOR PRACTICE: Only one in five US women who were told that their babies might be getting quite large actually delivered infants weighing ≥4000 g. However, the suspicion of a large baby was associated with an increase in perinatal interventions, regardless of actual fetal size.

Birth Outcomes by Infertility Diagnosis Analyses of the Massachusetts Outcomes Study of Assisted Reproductive Technologies (MOSART).

OBJECTIVE: To evaluate assisted reproductive technology (ART) pregnancy outcomes by infertility diagnosis. STUDY DESIGN: ART data on women who were treated and gave birth in Massachusetts were linked to vital records and hospital utilization data. Live births were categorized by 8 mutually exclusive ART diagnoses. Risks of prematurity, low birthweight (LBW), small-for-gestational age (SGA), large-for-gestational age (LGA), pregnancy hypertension, gestational diabetes, prenatal hospitalizations, and primary cesarean delivery were modeled using logistic regression, adjusted for parental characteristics, treatment parameters, and plurality (adjusted odds ratios [AORs] and 95% confidence intervals); the reference group were pregnancies with the diagnosis of malefactor. RESULTS: Among the 7,354 singleton and twin pregnancies, there were nonsignificant differences in the risks for LBW, SGA, or LGA. Significantly increased risks included gestational diabetes (ovulation disorders, AOR 1.80, 1.35-2.41), prematurity (ovulation disorders, AOR 1.36, 1.08-1.71; other factors, AOR 1.33, 1.05-1.67), prenatal hospital admissions (endometriosis, tubal and other factors, ovulation disorders, and uterine factors, AORs ranging from 1.66-2.68), and primary cesarean section (uterine factors, AOR 1.96, 1.15-3.36). CONCLUSION: Although the infant outcomes of LBW, SGA, and LGA were generally similar across diagnosis groups, specific diagnoses had greater risks for prematurity, gestational diabetes, prenatal hospital utilization, and primary cesarean delivery. (J Reprod Med 2015;

Changes in Pregnancy-Related Mortality Associated With the Coronavirus Disease 2019 (COVID-19) Pandemic in the United States.

OBJECTIVE: To examine pregnancy-related mortality ratios before (January 2019-March 2020) and during (April 2020-December 2020 and 2021) the coronavirus disease 2019 (COVID-19) pandemic overall, by race and ethnicity, and by rural-urban classifications using vital records data. METHODS: Mortality and natality data (2019-2021) were obtained from the Centers for Disease Control and Prevention's WONDER database to estimate pregnancy-related mortality ratios, which correspond to any death during pregnancy or up to 1 year after the end of a pregnancy from causes related to the pregnancy per 100,000 live births. Pregnancy-related mortality ratios were determined from International Classification of Diseases, Tenth Revision codes A34, O00-O96, and O98-O99. Overall pregnancy-related mortality ratios were partitioned by whether COVID-19 was listed as a contributory cause, and quarterly estimates were compared between 2019 and 2021. Pregnancy-related mortality ratios were compared by race and ethnicity and rural-urban residence before (2019-March 2020) and during (April 2020-December 2020 and 2021) the COVID-19 pandemic. RESULTS: Pregnancy-related mortality was significantly higher in 2021 (45.5/100,000 live births) compared with during the pandemic in 2020 (36.7/100,000 live births) and before the pandemic (29.0/100,000 live births). Pregnancy-related mortality ratios increased across all race and ethnicity and rural-urban residence categories in 2021. The largest increase occurred among American Indian/Alaska Native people during 2021 compared with April-December of 2020 (pregnancy-related mortality ratio 160.8 vs 79.0/100,000 live births, 104% relative change, P =.017). Medium-small metropolitan (52.4 vs 37.7/100,000 live births, 39.0% relative change, P <.001) and rural (56.2 vs 46.5/100,000 live births, 21.0% relative change, P =.05) areas had a larger increase in 2021 compared with April-December 2020 compared with large urban areas (39.1 vs 33.7/100,000 live births, 15.9% relative change, P =.009). CONCLUSION: Pregnancy-related mortality ratios increased more rapidly in 2021 than in 2020, consistent with rising rates of COVID-19-associated mortality among women of reproductive age. This further exacerbated racial and ethnic disparities, especially among American Indian/Alaska Native birthing people.

Preconception and perinatal hospitalizations as indicators of risk for severe maternal morbidity in primiparas.

BACKGROUND: Severe maternal morbidity includes unexpected outcomes of labor and delivery that result in significant short- or long-term consequences to a woman's health. A statewide longitudinally linked database was used to examine hospitalization during and before pregnancy for birthing people with severe maternal morbidity at delivery. OBJECTIVE: This study aimed to examine the association between hospital visits during pregnancy and 1 to 5 years before pregnancy and severe maternal morbidity at delivery. STUDY DESIGN: This study was a retrospective, population-based cohort analysis of the Massachusetts Pregnancy to Early Life Longitudinal database between January 1, 2004, and December 31, 2018. Nonbirth hospital visits, including emergency department visits, observational stays, and hospital admissions during pregnancy and 5 years before pregnancy, were identified. The diagnoses for hospitalizations were categorized. We compared medical conditions leading to antecedent, nonbirth hospital visits among primiparous birthing individuals with singleton births with and without severe maternal morbidity, excluding transfusions. RESULTS: Of 235,398 birthing individuals, 2120 had severe maternal morbidity, a rate of 90.1 cases per 10,000 deliveries, and 233,278 did not have severe maternal morbidity. Compared with 4.3% of patients without severe maternal morbidity, 10.4% of patients with severe maternal morbidity were hospitalized during pregnancy. In multivariable analysis, there was a 31% increased risk of hospital admission during the prenatal period, a 60% increased risk of hospital admission in the year before pregnancy, and a 41% increased risk of hospital admission in 2 to 5 years before pregnancy. Compared with 9.8% of non-Hispanic White birthing people, 14.9% of non-Hispanic Black birthing people with severe maternal morbidity experienced a hospital admission during pregnancy. For those with severe maternal morbidity, prenatal hospitalization was most common for those with endocrine (3.6%) or hematologic (3.3%) conditions, with the largest differences between those with and without severe maternal morbidity for musculoskeletal (relative risk, 9.82; 95% confidence interval, 7.06-13.64) and cardiovascular (relative risk, 9.73; 95% confidence interval, 7.26-13.03) conditions. CONCLUSION: This study found a strong association between previous nonbirth hospitalizations and the likelihood of severe maternal morbidity at delivery.

Prior Hospitalization, Severe Maternal Morbidity, and Pregnancy-Associated Deaths in Massachusetts From 2002 to 2019.

OBJECTIVE: To examine demographic and clinical precursors to pregnancy-associated deaths overall and when pregnancy-related deaths are excluded. METHODS: We conducted a retrospective cohort study based on a Massachusetts population-based data system linking data from live birth and fetal death certificates to corresponding delivery hospital discharge records and a birthing individual's nonbirth hospital contacts and associated death records. Exposures included maternal demographics, severe maternal morbidity (without transfusion), hospitalizations in the 3 years before pregnancy, comorbidities during pregnancy, and opioid use. In cases of postpartum deaths, hospitalization between delivery and death was examined. The primary outcome measure was pregnancy-associated death , defined as death during pregnancy or up to 1 year postpartum. RESULTS: There were 1,291,626 deliveries between 2002 and 2019, of which 384 were linked to pregnancy-associated deaths. Pregnancy-associated but not pregnancy-related deaths (per 100,000 deliveries) were highest for birthing people with opioid use before pregnancy (498.3), severe maternal morbidity (387.3), a comorbidity (106.3), or a prior hospitalization (88.9). In multivariable analysis, the adjusted risk ratios associated with severe maternal morbidity (9.37, 95% CI, 6.14-14.31) and opioid use (6.49, 95%, CI, 3.71-11.35) were highest. Individuals with pregnancy-associated deaths were also more likely to have been hospitalized before or during pregnancy (2.30, 95% CI, 1.62-3.26). Among postpartum deaths, more than two-thirds (69.9%) of birthing people had a hospital contact after delivery and before their death. CONCLUSION: Severe maternal morbidity and opioid use disorder were precursors to pregnancy-associated deaths. Individuals with pregnancy-associated but not pregnancy-related deaths experienced a history of hospital contacts during and after pregnancy before death.

State Variation in Severe Maternal Morbidity Among Individuals With Medicaid Insurance.

OBJECTIVE: To measure variation in delivery-related severe maternal morbidity (SMM) among individuals with Medicaid insurance by state and by race and ethnicity across and within states. METHODS: We conducted a pooled, cross-sectional analysis of the 2016-2018 TAF (Transformed Medicaid Statistical Information System Analytic Files). We measured overall and state-level rates of SMM without blood transfusion for all individuals with Medicaid insurance with live births in 49 states and Washington, DC. We also examined SMM rates among non-Hispanic Black and non-Hispanic White individuals with Medicaid insurance in a subgroup of 27 states (and Washington, DC). We generated unadjusted rates of composite SMM and the individual indicators of SMM that comprised the composite. Rate differences and rate ratios were calculated to compare SMM rates for non-Hispanic Black and non-Hispanic White individuals with Medicaid insurance. RESULTS: The overall rate of SMM without blood transfusion was 146.2 (95% CI 145.1-147.3) per 10,000 deliveries (N=4,807,143). Rates of SMM ranged nearly threefold, from 80.3 (95% CI 71.4-89.2) per 10,000 deliveries in Utah to 210.4 (95% CI 184.6-236.1) per 10,000 deliveries in Washington, DC. Non-Hispanic Black individuals with Medicaid insurance (n=629,774) experienced a higher overall rate of SMM (212.3, 95% CI 208.7-215.9) compared with non-Hispanic White individuals with Medicaid insurance (n=1,051,459); (125.3, 95% CI 123.2-127.4) per 10,000 deliveries (rate difference 87.0 [95% CI 82.8-91.2]/10,000 deliveries; rate ratio 1.7 [95% CI 1.7-1.7]). The leading individual indicator of SMM among all individuals with Medicaid insurance was eclampsia, although the leading indicators varied across states and by race and ethnicity. Many states were concordant in leading indicators among the overall, non-Hispanic Black, and non-Hispanic White populations (ie, in Oklahoma sepsis was the leading indicator for all three). Most states, however, were discordant in leading indicators across the three groups (ie, in Texas eclampsia was the leading indicator overall, pulmonary edema or acute heart failure was the leading indicator among the non-Hispanic Black population, and sepsis was the leading indicator among the non-Hispanic White population). CONCLUSION: Interventions aimed at reducing SMM and, ultimately, mortality among individuals with Medicaid insurance may benefit from the data generated from this study, which highlights states that have the greatest burden of SMM, the differences in rates among non-Hispanic Black populations compared with non-Hispanic White populations, and the leading indicators of SMM overall, by state, and by race and ethnicity.

Using Longitudinally Linked Data to Measure Severe Maternal Morbidity.

OBJECTIVE: To assess whether application of a standard algorithm to hospitalizations in the prenatal and postpartum (42 days) periods increases identification of severe maternal morbidity (SMM) beyond analysis of only the delivery event. METHODS: We performed a retrospective cohort study using data from the PELL (Pregnancy to Early Life Longitudinal) database, a Massachusetts population-based data system that links records from birth certificates to delivery hospital discharge records and nonbirth hospital records for all birthing individuals. We included deliveries from January 1, 2009, to December 31, 2018, distinguishing between International Classification of Diseases Ninth (ICD-9) and Tenth Revision (ICD-10) coding. We applied the modified Centers for Disease Control and Prevention algorithm for SMM used by the Alliance for Innovation on Maternal Health to hospitalizations across the antenatal period through 42 days postpartum. Morbidity was examined both with and without blood transfusion. RESULTS: Overall, 594,056 deliveries were included in the analysis, and 3,947 deliveries met criteria for SMM at delivery without transfusion and 9,593 with transfusion for aggregate rates of 150.1 (95% CI 146.7-153.5) using ICD-9 codes and 196.6 (95% CI 189.5-203.7) using ICD-10 codes per 10,000 deliveries. Severe maternal morbidity at birth increased steadily across both ICD-9 and ICD-10 from 129.4 in 2009 (95% CI 126.2-132.6) using ICD-9 to 214.3 per 10,000 (95% CI 206.9-221.8) in 2018 using ICD-10. Adding prenatal and postpartum hospitalizations increased cases by 21.9% under both ICD-9 and ICD-10, resulting in a 2018 rate of 258.7 per 10,000 (95% CI 250.5-266.9). The largest increase in detected morbidity in the prenatal or postpartum time period was attributed to sepsis cases. CONCLUSION: Inclusion of prenatal and postpartum hospitalizations in the identification of SMM resulted in increased ascertainment of morbid events. These results suggest a need to ensure surveillance of care quality activities beyond the birth event.

Trends and inequities in severe maternal morbidity in Massachusetts: A closer look at the last two decades.

It is estimated that 50,000-60,000 pregnant people in the United States (US) experience severe maternal morbidity (SMM). SMM includes life-threatening conditions, such as acute myocardial infarction, acute renal failure, amniotic fluid embolism, disseminated intravascular coagulation, or sepsis. Prior research has identified both rising rates through 2014 and wide racial disparities in SMM. While reducing maternal death and SMM has been a global goal for the past several decades, limited progress has been made in the US in achieving this goal. Our objectives were to examine SMM trends from 1998-2018 to identify factors contributing to the persistent and rising rates of SMM by race/ethnicity and describe the Black non-Hispanic/White non-Hispanic rate ratio for each SMM condition. We used a population-based data system that links delivery records to their corresponding hospital discharge records to identify SMM rates (excluding transfusion) per 10, 000 deliveries and examined the trends by race/ethnicity. We then conducted stratified analyses separately for Black and White birthing people. While the rates of SMM during the same periods steadily increased for all racial/ethnic groups, Black birthing people experienced the greatest absolute increase compared to any other race/ethnic group going from 69.4 in 1998-2000 to 173.7 per 10,000 deliveries in 2016-2018. In addition, we found that Black birthing people had higher rates for every individual condition compared to White birthing people, with rate ratios ranging from a low of 1.11 for heart failure during surgery to a high of 102.4 for sickle cell anemia. Obesity was not significantly associated with SMM among Black birthing people but was associated with SMM among White birthing people [aRR 1.18 (95% CI: 1.02, 1.36)]. An unbiased understanding of how SMM has affected different race/ethnicity groups is key to improving maternal health and preventing SMM and mortality among Black birthing people. SMM needs to be addressed as both a medical and public health challenge.

Posttraumatic stress disorder in new mothers: results from a two-stage U.S. national survey.

BACKGROUND: Prevalence rates of women in community samples who screened positive for meeting the DSM-IV criteria for posttraumatic stress disorder after childbirth range from 1.7 to 9 percent. A positive screen indicates a high likelihood of this postpartum anxiety disorder. The objective of this analysis was to examine the results that focus on the posttraumatic stress disorder data obtained from a two-stage United States national survey conducted by Childbirth Connection: Listening to Mothers II (LTM II) and Listening to Mothers II Postpartum Survey (LTM II/PP). METHODS: In the LTM II study, 1,373 women completed the survey online, and 200 mothers were interviewed by telephone. The same mothers were recontacted and asked to complete a second questionnaire 6 months later and of those, 859 women completed the online survey and 44 a telephone interview. Data obtained from three instruments are reported in this article: Posttraumatic Stress Disorder Symptom Scale-Self Report (PSS-SR), Postpartum Depression Screening Scale (PDSS), and the Patient Health Questionnaire-2 (PHQ-2). RESULTS: Nine percent of the sample screened positive for meeting the diagnostic criteria of posttraumatic stress disorder after childbirth as determined by responses on the PSS-SR. A total of 18 percent of women scored above the cutoff score on the PSS-SR, which indicated that they were experiencing elevated levels of posttraumatic stress symptoms. The following variables were significantly related to elevated posttraumatic stress symptoms levels: low partner support, elevated postpartum depressive symptoms, more physical problems since birth, and less health-promoting behaviors. In addition, eight variables significantly differentiated women who had elevated posttraumatic stress symptom levels from those who did not: no private health insurance, unplanned pregnancy, pressure to have an induction and epidural analgesia, planned cesarean birth, not breastfeeding as long as wanted, not exclusively breastfeeding at 1 month, and consulting with a clinician about mental well-being since birth. A stepwise multiple regression revealed that two predictor variables significantly explained 55 percent of the variance in posttraumatic stress symptom scores: depressive symptom scores on the PHQ-2 and total number of physical symptoms women were experiencing at the time they completed the LTM II/PP survey. CONCLUSION: In this two-stage national survey the high percentage of mothers who screened positive for meeting all the DSM-IV criteria for a posttraumatic stress disorder diagnosis is a sobering statistic.

Being Known: A Grounded Theory Study of the Meaning of Quality Maternity Care to People of Color in Boston.

INTRODUCTION: Experiences of people of color with maternity care are understudied but understanding them is important to improving quality and reducing racial disparities in birth outcomes in the United States. This qualitative study explored experiences with maternity care among people of color to describe the meaning of quality maternity care to the cohort and, ultimately, to inform the design of a freestanding birth center in Boston. METHODS: Using a grounded theory design and elements of community-based participatory research, community activists developing Boston's first freestanding birth center and academics collaborated on this study. Semistructured interviews and focus groups with purposefully sampled people of color were conducted and analyzed using a constant comparative method. Interviewees described their maternity care experiences, ideas about perfect maternity care, and how a freestanding birth center might meet their needs. Open coding, axial coding, and selective coding were used to develop a local theory of what quality care means. RESULTS: A total of 23 people of color participated in semistructured interviews and focus groups. A core phenomenon arose from the narratives: being known (ie, being seen or heard, or being treated as individuals) during maternity care was an important element of quality care. Contextual factors, including interpersonal and structural racism, power differentials between perinatal care providers and patients, and the bureaucratic nature of hospital-based maternity care, facilitated negative experiences. People of color did extra work to prevent and mitigate negative experiences, which left them feeling traumatized, regretful, or sad about maternity care. This extra work came in many forms, including cognitive work such as worrying about racism and behavioral changes such as dressing differently to get health care needs met. DISCUSSION: Being known characterizes quality maternity care among people of color in our sample. Maternity care settings can provide personalized care that helps clients feel known without requiring them to do extra work to achieve this experience.

The Association Between Continuity Of Marketplace Coverage During Pregnancy And Receipt Of Prenatal Care.

Insurance disruptions before, during, and after pregnancy are common in the United States, but little is known about the enrollment patterns of pregnant people in the Affordable Care Act Marketplaces. Data from the Pregnancy Risk Assessment Monitoring System from the period 2016-18 show that among respondents enrolled in Marketplace coverage, approximately one-third reported continuous Marketplace enrollment from preconception through the postpartum period. Compared with respondents who were continuously enrolled in Marketplace coverage from preconception through postpartum, respondents who enrolled in Marketplace plans during pregnancy had a 10.8 percent lower rate of adequate prenatal care, a 6.4 percent lower rate of timely prenatal care initiation, and a 13.2 percent lower rate of having twelve or more prenatal care visits. Policies that promote continuity of coverage during pregnancy, such as designating pregnancy as a qualifying event for a Marketplace open enrollment period, may enable pregnant people to enroll in Marketplace coverage early in their pregnancies and thus enhance access to prenatal care.

Intrapartum Care and Experiences of Women with Midwives Versus Obstetricians in the Listening to Mothers in California Survey.

INTRODUCTION: Many studies based on hospital records or vital statistics have found that childbearing women experience benefits of lower rates of intervention with midwifery care versus obstetric care during labor and birth. Surveys of women's views and experiences can provide a richer analysis when comparing intrapartum care of midwives and obstetricians. METHODS: This study was a secondary analysis of data from the population-based Listening to Mothers in California survey. The sample, which was representative of 2016 California hospital births, was drawn from birth certificate files and oversampled midwife-attended births. Women responded to the survey in English or Spanish on any device or with a telephone interviewer. The present analysis is based on 1421 of the 2539 participants who identified a midwife or obstetrician as their attendant at a vaginal birth. A bivariate analysis of demographic, attitudinal, and intrapartum variables was conducted. A multivariable model included sociodemographic and attitudinal variables as covariates. RESULTS: Bivariate analyses found significant socioeconomic differences by type of intrapartum care provider, with women in California attended by midwives more likely to be well educated and privately insured than women attended by obstetricians. Women with midwife birth attendants were less likely to report experiencing various intrapartum medical interventions, less likely to experience pressure to have epidural analgesia, and more likely to report that staff encouraged the woman's decision making. Adjusted odds ratios found that women with midwives were less likely to experience medical interventions, including attempted labor induction; labor augmentation; and use of pain medications, epidural analgesia, and intravenous fluids; and less likely to report pressure to have labor induction or epidural analgesia. Women cared for by midwives were more likely to experience any nonpharmacologic pain relief measures and nitrous oxide and to agree that hospital staff encouraged their decision making. DISCUSSION: Using women's own reports of their care experiences and adjusting for possible differences in women's attitudes and case mix, we found that midwifery care of women who had vaginal births was associated with reduced use of medical interventions and increased women's decisional latitude during labor and birth.

The Scope of Midwifery Practice Regulations and the Availability of the Certified Nurse-Midwifery and Certified Midwifery Workforce, 2012-2016.

INTRODUCTION: Studies have linked midwifery practice laws to the availability of midwives but have generally not related workforce data to potential demand for reproductive health services. We examined state regulatory structure for midwives and its relationship to midwifery distribution and vital statistics data at the state and county level. METHODS: Midwifery distribution data came from the Area Health Resources Files, distribution of women of reproductive age came from the US Census, and birth statistics came from US Natality Files from 2012 to 2016. Midwifery regulations were drawn from American College of Nurse-Midwives Annual Reports. We used bivariate analysis to examine the relationship between state midwifery practice regulations and the number of midwives available in states and counties to potentially meet women's health care needs. RESULTS: Twenty states and the District of Columbia had autonomous practice regulatory frameworks, whereas 24 states had collaborative practice regulatory frameworks during the years between 2012 and 2016. Six states changed regulations during that period. In 2016, the number of midwife-attended births per number of midwives in a state was not related to the regulatory framework. However, states with autonomous frameworks had 2.2 times as many midwives per women of reproductive age (P < .0001) and 2.3 times as many midwives per total births when compared with states with collaborative statutory frameworks (P < .0001). At the county level, 70.1% of US counties had no midwife. Of those states with autonomous practice, only 59.7% of counties had no midwives, compared with 74.1% in states with collaborative models (P < .0001). DISCUSSION: Midwives have the potential to help address the shortage of maternity and reproductive health service providers. Our research suggests that increasing the number of states with autonomous regulatory frameworks can be one way to expand access to care for women in the United States.

Distinguishing Subgroups in Opposition to Infant Immunization: Results From the Listening to Mothers III Survey.

OBJECTIVE: To investigate factors associated with parental intention of refusing or altering their child's vaccination schedule. METHODS: Data were from the 2011-2012 Listening to Mothers III survey (N = 1,053). Weighted bivariate and multivariate analyses examined factors related to refusing or altering vaccination. RESULTS: 3.2% of mothers planned to refuse vaccination and 12.3% preferred to alter the recommended schedule. Preference to refuse was associated with maternal age <25 years (AOR 4.33; 95% CI: 1.18, 15.9), prior refusal of maternity care (AOR 6.04; 95% CI: 1.88, 19.4), and living outside of the Northeast. Schedule modification was only associated with prior refusal of care. CONCLUSIONS: Mothers preferring not to immunize their children and those wishing to alter the vaccination schedule represent two distinct groups.