Assessing patient autonomy in the context of TeamBirth, a quality improvement intervention to improve shared decision-making during labor and birth.

BACKGROUND: Respectful maternity care includes shared decision-making (SDM). However, research on SDM is lacking from the intrapartum period and instruments to measure it have only recently been developed. TeamBirth is a quality improvement initiative that uses team huddles to improve SDM during labor and birth. Team huddles are structured meetings including the patient and full care team when the patient's preferences, care plans, and expectations for when the next huddle will occur are reviewed. METHODS: We used patient survey data (n = 1253) from a prospective observational study at four U.S. hospitals to examine the relationship between TeamBirth huddles and SDM. We measured SDM using the Mother's Autonomy in Decision-Making (MADM) scale. Linear regression models were used to assess the association between any exposure to huddles and the MADM score and between the number of huddles and the MADM score. RESULTS: In our multivariable model, experiencing a huddle was significantly associated with a 3.13-point higher MADM score. When compared with receiving one huddle, experiencing 6+ huddles yielded a 3.64-point higher MADM score. DISCUSSION: Patients reporting at least one TeamBirth huddle experienced significantly higher SDM, as measured by the MADM scale. Our findings align with prior research that found actively involving the patient in their care by creating structured opportunities to discuss preferences and choices enables SDM. We also demonstrated that MADM is sensitive to hospital-based quality improvement, suggesting that future labor and birth interventions might adopt MADM as a patient-reported experience measure.

Impact of an educational program and decision tool on choice of maternity hospital: the delivery decisions randomized clinical trial.

BACKGROUND: Reducing cesarean rates is a public health priority. To help pregnant people select hospitals with lower cesarean rates, numerous organizations publish publically hospital cesarean rate data. Few pregnant people use these data when deciding where to deliver. We sought to determine whether making cesarean rate data more accessible and understandable increases the likelihood of pregnant people selecting low-cesarean rate hospitals. METHODS: We conducted a 1:1 randomized controlled trial in 2019-2021 among users of a fertility and pregnancy mobile application. Eligible participants were trying to conceive for fewer than five months or were 28-104 days into their pregnancies. Of 189,456 participants approached and enrolled, 120,621 participants met entry criteria and were included in analyses. The intervention group was offered an educational program explaining the importance of hospital cesarean rates and an interactive tool presenting hospital cesarean rates as 1-to-5-star ratings. Control group users were offered an educational program about hospital choice and a hospital choice tool without cesarean rate data. The primary outcome was the star rating of the hospital selected by each patient during pregnancy. Secondary outcomes were the importance of cesarean rates in choosing a hospital and delivery method (post-hoc secondary outcome). RESULTS: Of 120,621 participants (mean [SD] age, 27.8 [7.9]), 12,284 (10.2%) reported their choice of hospital during pregnancy, with similar reporting rates in the intervention and control groups. Intervention group participants selected hospitals with higher star ratings (2.52 vs 2.16; difference, 0.37 [95% CI, 0.32 to 0.43] p < 0.001) and were more likely to believe that the hospitals they chose would impact their chances of having cesarean deliveries (38.5% vs 33.1%, p < 0.001) but did not assign higher priority to cesarean delivery rates when choosing their hospitals (76.2% vs 74.3%, p = 0.05). There was no difference in self-reported cesarean rates between the intervention and control groups (31.4% vs 31.4%, p = 0.98). CONCLUSION: People offered an educational program and interactive tool to compare hospital cesarean rates were more likely to use cesarean data in selecting a hospital and selected hospitals with lower cesarean rates but were not less likely to have a cesarean. CLINICAL TRIAL REGISTRATION: Registered December 9, 2016 at clinicaltrials.gov, First enrollment November 2019. ID NCT02987803, https://clinicaltrials.gov/ct2/show/NCT02987803.

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.

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.

Variation in guideline-based prenatal care in a commercially insured population.

BACKGROUND: Despite the importance of prenatal care, quality measurement efforts have focused on the number of prenatal visits, or prenatal care adequacy, rather than the services received. It is unknown whether attending more prenatal visits is associated with receiving more guideline-based prenatal care services. The relationship between guideline-based prenatal care and patients' clinical and sociodemographic characteristics has also not been studied. OBJECTIVE: This study aimed to measure the receipt of guideline-based prenatal care among pregnant patients and to describe the association between guideline-based prenatal care and the number of prenatal visits and other patient characteristics. STUDY DESIGN: This was a retrospective descriptive cohort study of 176,092 pregnancy episodes between 2016 and 2019. We used de-identified administrative claims data on commercial enrollees across the United States from the OptumLabs Data Warehouse. We identified the following 8 components of prenatal care that are universally recommended by the American College of Obstetricians and Gynecologists and other guideline-issuing organizations: testing for sexually transmitted infections, obstetric laboratory test panel, urine culture, urinalysis, anatomy scan ultrasound, oral glucose tolerance test, tetanus, diphtheria, and pertussis vaccine, and group B Streptococcus test. We measured the proportion of pregnant patients who received each of these guideline-based services at the appropriate gestational age. We measured the association between guideline-based services and the number of prenatal visits and prenatal care adequacy. We described variation of guideline-based care according to patient age, comorbidities, high deductible health plan enrollment, and their county's rurality, health professional shortage area status, racial composition, median income, and educational attainment. RESULTS: The 176,092 pregnancy episodes were mostly among patients aged 25 to 34 years (63%) with few pregnancy comorbidities (81%) and living in urban areas (92%). Guideline-based care varied by service, from 51% receiving a timely urinalysis to 90% receiving an anatomy scan and 91% completing testing for sexually transmitted infections. Patients with at least 4 prenatal visits received, on average, 6 of the 8 guideline-based services. Guideline-based care did not increase with additional prenatal visits and varied by patient characteristics. Rates of tetanus, diphtheria, and pertussis vaccination were lower in counties with high proportions of minoritized populations, lower education, and lower income. CONCLUSION: In this commercially insured population, receipt of guideline-based care was not universal, did not increase with the number of prenatal visits, and varied by patient- and area-level characteristics. Measuring guideline-based care is feasible and may capture quality of prenatal care better than visit count or adequacy alone.

Ensuring Racial Equity in Pregnancy Care During the COVID-19 Pandemic and Beyond.

BACKGROUND: The COVID-19 pandemic provoked sweeping changes in practice to care for pregnant and birthing people, and highlighted inequities that threaten to exacerbate racial disparities in maternal outcomes. Moreover, social distancing measures have made it harder for pregnant people to access support. ASSESSMENT: Prioritizing widespread access to COVID-19 testing and vaccination for pregnant people is critical to ensuring they receive safe and equitable care. Transparency in reporting outcomes including race and pregnancy status is key. Expanding telemedicine services to provide mental healthcare and labor support is necessary to maintain access to critical social networks. Additionally, resources must be allocated to pregnant people with complex social needs and are the most vulnerable. CONCLUSION: Policy centered on maintaining equity and agency in the care of pregnant people is imperative now and should continue as the standard moving forward to narrow racial disparities in maternal health outcomes.

Comparing Methods of Identifying Outlying Nurses in Audits of Low-Risk Cesarean Delivery Rates.

BACKGROUND: The low-risk cesarean delivery (CD) rate is an established performance indicator for providers in maternity care for quality improvement purposes. PURPOSE: Our objectives were to assess nurse performance using adjusted nurse-level CD rates and to compare methods of identifying nurse outliers. METHODS: We conducted a retrospective, cohort study of 6970 births attended by 181 registered nurses in one hospital's maternity unit. Adjusted and unadjusted nurse-level CD rates were compared and agreement between 3 definitions (statistical, top decile, over a benchmark) of outliers calculated. RESULTS: Adjusted nurse-level CD rates varied from 5.5% to 53.2%, and the unadjusted rates varied from 5% to 50%. Risk adjustment had little impact on the ranking of nurses, and outliers were consistently identified by 3 definitions. CONCLUSIONS: Trade-offs between statistical certainty and feasibility need to be considered when classifying nurse outliers. Findings can help target interventions to improve nurse performance.

Roles and Experiences of Registered Nurses on Labor and Delivery Units in the United States During the COVID-19 Pandemic.

OBJECTIVE: To examine the roles and experiences of labor and delivery (LD) nurses during the COVID-19 pandemic. DESIGN: Cross-sectional survey. SETTING: Online distribution between the beginning of July and end of August 2020. PARTICIPANTS: LD nurses (N = 757) responded to an open-ended question about changes to their roles during the COVID-19 pandemic as part of a larger national survey. METHODS: We calculated descriptive statistics on respondents' characteristics and their hospitals' characteristics. We applied conventional content analysis to free-text comments. RESULTS: We derived four major categories from the responses: Changes in Roles and Responsibilities, Adaptations to Changes, Psychological Changes, and Perceived Effects on LaborSupport. Nearly half (n = 328) of respondents reported changes in their roles and responsibilities during the COVID-19 pandemic. They described adaptations and responses to these changes and perceived effects on patient care. Infection control policies and practices as well as the stress of a rapidly changing work environment affected the provision of labor support and personal well-being. CONCLUSION: The experiences described by respondents conveyed considerable changes in their roles and subsequent direct and indirect effects on quality of patient care and personal well-being. Policies and practices that can facilitate the ability of LD nurses to safely and securely remain at the bedside and provide high-touch, hands-on labor support are needed. The findings of our study can help facilitate the provision of labor support during times of disruption and foster the resiliency of the nursing workforce.

Using a Claims-Based Framework to Identify Severe Maternal Morbidities in a Commercially Insured US Population.

Many severe maternal morbidities (SMMs) are preventable, and understanding circumstances in which complications occur is crucial. The objective was to evaluate a framework for SMM benchmarking and quality improvement opportunities. Building upon metrics defined by the Centers for Disease Control and Prevention on the basis of an inpatient sample, analysis included indicators across 5 domains (Hemorrhage/Transfusion, Preeclampsia/Eclampsia, Cardiovascular, Sepsis, and Thromboembolism/Cerebrovascular). Morbidity rates per 10 000 deliveries were calculated using de-identified administrative claims in commercially insured women in the United States. Longitudinal data linked inpatient delivery episodes and 6-week postpartum period, and SMMs were assessed for present on admission and geographic variation. This retrospective analysis of 356 838 deliveries identified geographic variation in SMMs. For example, hemorrhage rates per 10 000 varied 3-fold across states from 279.7 in Alabama to 964.69 in Oregon. Administrative claims can be used to calculate SMM rates, identify geographic variations, and assess problems locally, nationally, and across payers. Identifying conditions present on admission and a postpartum window is valuable in differentiating events occurring during preadmission, inpatient stay, and postpartum periods. Targeting preventable SMMs through local and hospital-level interventions and limiting SMM progression through postdischarge monitoring may reduce the prevalence of SMM and postpartum complications.

Variability in cesarean delivery rates among individual labor and delivery nurses compared to physicians at three attribution time points.

OBJECTIVE: To examine the variability in the cesarean delivery (CD) rates of individual labor and delivery nurses compared with physicians at three attribution time points. DATA SOURCES: Medical record data from nine hospitals in Washington State from January 2016 through September 2018. STUDY DESIGN: Retrospective, observational cohort design using an aggregated database of birth records. DATA COLLECTION/EXTRACTION METHODS: Chart-abstracted clinical data from a subset of nulliparous, term, singleton, vertex births attributed at admission, labor management, and delivery to nurses and physicians. Two classification methods were used to categorize nurse- and physician-level CD rates at three attribution time points and the reliability of these methods compared. PRINCIPAL FINDINGS: The sample included 12 556 births, 319 nurses, and 126 physicians. Overall, variation in nurse-level CD rates did not differ significantly across the three attribution time points, and the extent of variation was similar to that observed in physicians. However, agreement between attribution time points varied between 35 percent and 65 percent when classifying individual nurses into the top and bottom deciles. The average reliability of nurse-level CD rates was 32 percent at admission (IQR 22.0 percent to 38.7 percent), 32.6 percent at labor (IQR 23.1 percent to 40.9 percent), and 29.3 percent (IQR 20.9 percent to 35.8 percent) at delivery. The average reliability of physician-level CD rates was higher: 54.2 percent (IQR 38.7 percent to 71.4 percent) at admission, 62.5 percent (IQR 49.0 percent to 79.6 percent) at labor management, and 66.1 percent (IQR 53.7 percent to 81.2 percent) at delivery. CONCLUSION: Feedback on nurse-level CD rates as part of routine clinical quality audits can provide insight into nurse performance in the context of other individual-level and unit-level information. To reliably distinguish individual nurse performance, larger sample sizes are needed.