Abstract
Background:
Racial inequities in maternal health outcomes, the result of systemic racism and social determinants of health, require maternity care systems to implement interventions that reduce disparities. One such approach may be support from a community doula, a health worker who provides emotional support, peer education, navigation, and advocacy for pregnant, birthing, and postpartum people who share similar racial identities, cultural backgrounds, and/or lived experiences. While community support during birth has a long tradition within communities of Black Indigenous and People of Color (BIPOC), the reframing of community doula support as a social intervention that reduces disparities in clinical outcomes is recent.
Methods:
We conducted a pragmatic randomized trial at an urban safety net hospital, comparing standard maternity care with standard care plus enhanced community doula support. We tested the effectiveness of a community doula program embedded in a safety net hospital in improving birth outcomes and explored the association between community doula support and health equity. Participants were nulliparous, insured by publicly funded health plans, and had lower risk pregnancies. The primary outcome was cesarean birth. Secondary outcomes included preterm birth and breastfeeding outcomes. Exploratory subgroup analysis was conducted by race–ethnicity.
Results:
Three hundred sixty-seven participants were included in the primary analysis. In the intent-to-treat analysis, outcomes were similar between groups. There was a trend toward increased breastfeeding initiation (p=0.08). There was a statistically nonsignificant 12% absolute reduction in cesarean birth and 11.5% increase in exclusive breastfeeding during delivery hospitalization among Black non-Hispanic participants.
Discussion:
While outcomes for the study sample were similar between randomization groups, health outcomes were improved for Black birthing people in cesarean and breastfeeding rates.
Conclusion:
This study demonstrates the need for larger studies of community doula support for Black birthing people. Clinicaltrials.gov ID: NCT02550730.
Keywords: doula, maternal health, racial disparities, cesarean, breastfeeding, peer support
Background
Racial inequities in maternal health outcomes are rooted in a long history of systemic racism, sexism, and classism in the United States.1–3 Black birthing people have higher rates of maternal morbidity, mortality, postpartum depression, and poor experience of maternity care and lower rates of breastfeeding than other racial groups.4–11 These outcomes are a result of centuries of macrolevel policies, institutional practices, and cultural norms that reinforce one another and continue to perpetuate social, economic, and political disadvantages for Black individuals and communities.1,2
Structural barriers to health experienced by Black people in the reproductive years include inequitable access to quality health care, housing, employment, education, community resources, and fair policing for themselves and their families.12 Within maternity care services, Black pregnant, birthing, and postpartum people report higher levels of obstetric violence, disrespect and dismissal, and withholding of information about their care.13
Black birth workers have always provided essential holistic health care to their communities in the United States.14 From the 17th to 19th centuries, enslaved Black midwives practiced the skills and traditions of African midwifery in caring for both other enslaved Black people and the White relatives of slave owners.14 In the Jim Crow era, “Grand” midwives in the South (elder Black community midwives) provided essential maternal and infant health care to Black communities.15
The American Medical Association's campaign to regulate the practice of medicine at the turn of the 20th century led to legal and regulatory limitations on the practice of community midwifery, including for Southern Black Grand midwives.15 At the same time, the rise of obstetrics as a field of medicine required training and practice opportunities for physicians, who were primarily White, upper class, and male.15 Childbirth was reframed as a medical event and moved rapidly into hospitals over the mid-20th century, eliminating community midwifery and support for Black birthing people.15
Community doulas have reclaimed this support role over the last few decades.14,16,17 As culturally congruent health workers, they share similar lived experiences and racial, cultural, and other intersectional identities with their client. Doulas provide physical and emotional support during pregnancy, childbirth, and the postpartum period. In the prenatal and postpartum periods, community doulas assist with navigation of health care and social services, provide peer education, and give social support. During labor, they provide continuous presence to promote physical comfort and support the birthing person's emotional needs.
Community doulas practice within a framework of birth justice,16,17 an aspect of reproductive justice, which names “the human right to maintain personal autonomy…” for Black birthing people.17 Doulas accomplish this through a variety of approaches.16–19 They navigate clients through resources essential for healthy social determinants of health (SDoH) such as housing, employment, nutritious food, and health care services that are less accessible compared with White pregnant and birthing people due to structural racism.13,19 They provide affirming and nonjudgmental support that may buffer the effects of relationship stressors, discrimination, and inadequate social support.16,17 In addition, they serve as advocates by amplifying the voice of the birthing person during labor and birth.16,17
A growing literature frames outcomes of community doula support as efficacious in reducing cesarean births,18,20 which may impact morbidity and mortality in both current and future pregnancies.21 Additionally, some studies show that doulas increase breastfeeding and improve the experience of maternity care.18,20,22 For low-income people and Black, Indigenous, People of Color (BIPOC), doulas provide a sense of physical and emotional safety, reduce stress related to experiences of discrimination in health care, and amplify the voice of the pregnant person.16,17
The effectiveness of community doula programs integrated into maternity care has not been studied. To understand the effectiveness of a doula program in improving health outcomes in a racially diverse low-income setting, a pragmatic, randomized controlled trial was conducted. The aims of the trial were to evaluate the effectiveness of doula support in reducing rates of cesarean and preterm births, as well as on breastfeeding outcomes. Additionally, the study aimed to explore the impact of the doula on health equity for Black birthing people, specifically focusing on cesarean birth outcomes.
Materials and Methods
We conducted a parallel-group, pragmatic single-center trial with 1:1 randomization to assess the impact of community doula support on cesarean birth, preterm birth, and breastfeeding outcomes for nulliparous, lower-risk pregnant people with public insurance coverage. The study was conducted at an urban safety net hospital serving a racially and linguistically diverse population of ∼2700 births per year, of which 85% are publicly financed.
The institutional review board of the study site approved this study on April 29, 2015. Participants provided written informed consent. The study follows the Consolidated Standards of Reporting Trials (CONSORT) guidelines. We submitted our registration to Clinicaltrials.gov on June 23, 2015 (NCT02550730). We enrolled participants from August 2015 through November 2017. Data collection occurred through June 2018.
After completing the baseline survey, participants were randomized 1:1 in blocks of eight to either the Birth Sisters Best Beginnings for Babies (BBB) enhanced doula intervention or routine care. Computer-generated randomization was performed by an outside statistician and group allocation was placed in sequentially numbered opaque envelopes. The envelope was opened by the research assistant in front of the participant. The sequence was not revealed until enrollment was complete. Follow-up survey assessors were blinded to the allocation assignment of each participant.
Participants
People pregnant with their first child, insured by Medicaid or other public insurance, and between 16 and 24 weeks of pregnancy were eligible. Research assistants assessed eligibility during routine ultrasound visits and obtained informed consent. Exclusion criteria were age <18 years, multiple gestation, known fetal anomaly, or high-risk pregnancy condition, defined by prenatal care attendance in the site's high-risk obstetric clinics.
This excluded people with substance use disorder, pre-existing diabetes, HIV infection, and other comorbidities requiring prenatal care from a maternal–fetal medicine specialist. Participants who developed gestational hypertension or diabetes after enrollment at 24 weeks of pregnancy were not excluded. Suicidal ideation during the baseline interview was also an exclusion criterion.
Intervention
Birth Sisters BBB intervention
The intervention group received an enhanced model of Birth Sisters Program services starting at 24 weeks, known as the Birth Sisters BBB intervention. The Birth Sisters Program is one of the few hospital-based doula programs in the country. It has provided racially and ethnically diverse doula support to low-income pregnant and birthing people in an urban safety net hospital since 1999. The program and setting have been described in detail elsewhere.23
Briefly, Birth Sister services include between one and eight 2-h prenatal home visits determined by the client's preference; continuous support through labor and birth; and between one and four 2-h postpartum home visits through 6–8 weeks postpartum. Prenatal and postpartum activities include peer education, navigation of social and medical services, and social support. During labor, Birth Sisters provide physical and emotional comfort measures, as well as amplify the voice of the birthing person with the health care team.
Birth Sisters received training to maximize fidelity to the practice model before the study launch. Because this was an effectiveness study, strict adherence to the study protocol was not monitored. Instead, routine program management systems ensured fidelity. These include monthly group meetings and individual staff supervision at the beginning and close of each assignment with the Program Director, a midwife.
In addition to standard Birth Sister services, those in the intervention group received the enhancement of Medical Legal Partnership | Boston (MLPB) services to augment the ability of the Birth Sisters to address legally relevant SDoH. MLPB is a team of legal experts who integrate legal assistance into the medical setting so that low-income patients can meet legal needs that impact health. This enhancement aimed to maximize the role of the doula as an advocate around structural barriers to health and well-being for the individual client.
MLPB activities included training of Birth Sisters around SDoH resources, as well as serving as a consultant to the Birth Sister around individual participant needs. The training included an initial 3-h information session before participant enrollment on the basics of advocacy and a second 4-h training session on resources for unhoused clients. In the second year, a two-part training session, totaling 5 h, on resources around family law was provided.
In each year of the study, one to three Birth Sister group consultations during Birth Sister staff meetings were provided by MLPB lawyers to address individual case questions that might benefit the knowledge base for the entire doula staff. Additionally, each study participant assigned to the Birth Sisters Best Beginnings intervention was screened by the Birth Sister at 24 and 36 weeks for housing insecurity, food insecurity, and need for support around filling out the birth certificate.
When participants screened positive, the Birth Sister received a phone consultation with the MLPB lawyer for support around navigation resources. In the rare case that the participant required legal counsel, the Birth Sister was then able to refer the participant to MLPB for a pro bono formal consultation directly with the lawyer.
Routine care
Participants randomized to usual care had access to standard, interdisciplinary maternity care services at the safety net study site, including individual physician and midwifery care, group prenatal care that includes social support from other pregnant patients, childbirth education classes, social work support, in-patient lactation consultants, and 24-h interpreter services.
Outcomes
The primary outcome was the proportion of cesarean births. This outcome was selected for its potential effect on health equity since cesarean birth rates are highest among Black birthing people, correlated with increased rates of morbidity and mortality, and tied to obstetric racism. This outcome also aligned with prior doula research.
Secondary outcomes were preterm birth (<37 weeks 0 days of gestation), low birth weight (<2500 g at birth), breastfeeding initiation (any breast milk) and exclusivity (only breast milk) at delivery hospitalization, continuation of breastfeeding at the postpartum interview, Apgar scores <4 at 5 min, neonatal intensive care unit (NICU) admissions, and postpartum depression screening score defined by a score >9 on the Edinburgh Postnatal Depression Scale (EPDS) at the postpartum interview.
The definition of low Apgar score was selected based on the literature demonstrating correlation between an Apgar score of <4 and poor outcomes.24 Positive depression screen defined as a score >9 on the EPDS was chosen based on literature demonstrating high sensitivity and specificity at this cutoff.25
Obstetrical hemorrhage (quantitative blood loss >1000 mL) and hypertension (defined as at least two blood pressure readings >140/90 at least 4 h apart recorded in the medical record and/or in billing data) were added as outcome measures during the analysis phase due to increased focus nationally on reducing severe maternal morbidity and mortality.26–28
Data for outcomes measured at the delivery hospitalization were obtained from the electronic medical record. Breastfeeding continuation and postpartum depression outcomes were gathered at the postpartum interview.
A priori exploratory subgroup analyses were conducted by race to determine the differential impact by ethnic background and potential to reduce disparities, particularly for Black birthing people. Categories included Black non-Hispanic compared with all other races/ethnicities.
Sample size and power
Using a test of two independent proportions with a two-tailed alpha error of 0.05 and 80% power to detect a 10% absolute reduction in the rate of cesarean births, we required a sample size of 247 in each group of laboring participants. Assuming a loss to follow-up rate of 10%, a dropout rate of 5%, and scheduled cesarean rate (for medical indications) of 5%, we estimated a need for 297 participants in each group.
Statistical analyses
Data were analyzed with SAS, version 9.4, using an intention-to-treat approach. A significance level of 0.05 was used. Analysis of the primary outcome included all participants who delivered at the study site, except for two postrandomization exclusions who were noted after enrollment to not meet inclusion criteria. Categorical variables were compared using either chi-square or Fisher's exact test, as appropriate. p-Values for the primary outcome and odds ratios with 95% confidence intervals for all outcomes were calculated.
For the outcomes of breastfeeding continuation and postpartum depression, logistic regression was used to control for prenatal breastfeeding intention and prenatal depression scores, respectively, as well as timing of the postpartum interview, as they were independent predictors of those outcomes.
Exploratory analyses stratified by race/ethnicity were preplanned and emphasized the estimation of subgroup-specific effects. We focused on exploring the historically large inequities in birth outcomes for Black birthing people. Hispanic, White, Asian, and Middle Eastern ethnicities were combined into a single category as the effect was similar between these groups.
We used the same statistical analysis approach for the intent-to-treat model described in the previous paragraph for the subgroup analysis. This exploratory analysis was not powered to detect statistically significant differences in outcomes.
To evaluate the treatment received, post hoc per-protocol analyses were conducted using logistic regression models. The issue of multiple testing was addressed by applying a reduced alpha level of 0.01 to assess statistical significance. The per-protocol intervention group consisted of all participants who delivered at the study site, who were assigned to the intervention group, and received at least one Birth Sister prenatal visit and labor support.
The control group consisted of all participants who delivered at the study site, who were assigned to the control group, and who did not receive any Birth Sister support. For breastfeeding continuation and postpartum depression outcomes, the per-protocol intervention group consisted of all participants who delivered at the study site, who were assigned to the intervention group, and received at least one Birth Sister prenatal visit, labor support, and at least one Birth Sister postpartum visit.
Results
Figure 1 presents the trial's consort flow diagram. Four hundred eleven participants consented and were randomized. Of those, 367 (89%) remained in the analysis. Thirty-nine did not deliver at the study site, one dropped out, two miscarried before 24 weeks, and two were administratively withdrawn from the analysis due to subsequently noted exclusion conditions.
FIG. 1.
Flow diagram.
Three hundred thirteen of those who remained in the analysis for birth outcomes also completed a postpartum survey (85%). One hundred sixty of those participants completed the survey before 12 weeks postpartum. One hundred fifty-three completed the survey after 12 weeks of giving birth. The proportion of participants completing the survey before 12 weeks was similar between groups (51.6% in the intervention group compared with 52.6% in the control group).
We follow standard guidelines for reporting randomized trials.29 Our design achieved balanced groups, as noted in Table 1. Baseline characteristics for those who were lost to follow-up, dropped out, or excluded were also balanced between groups (Supplementary Table S1). All participants qualified for MassHealth, with an income of 200% of the federal poverty level. To measure differences in SDoH beyond income strata, we report baseline data on housing, food, and energy security,30–32 as well as social isolation.33
Table 1.
Baseline Characteristics
| Characteristic | Best beginnings (n=187) | Control (n=180) |
|---|---|---|
| Age in years, mean (SD) | 25.4 (4.8) | 25.5 (5.8) |
| Race/ethnicity, n (%) | ||
| Hispanic | 89 (47.6) | 89 (49.4) |
| Non-Hispanic Black | 67 (35.8) | 63 (35.0) |
| Non-Hispanic White | 13 (7.0) | 12 (6.7) |
| Asian | 10 (5.4) | 6 (3.3) |
| Other | 8 (4.3) | 10 (5.6) |
| Natality,a n (%) | ||
| Non-U.S. born | 142 (75.9) | 135 (75.0) |
| U.S. born | 45 (24.1)\ | 44 (24.4) |
| English fluency, n (%) | ||
| I am fluent | 93 (49.7) | 97 (53.9) |
| I speak some English | 58 (31.0) | 58 (32.2) |
| I do not speak English | 36 (19.3) | 25 (13.9) |
| Prenatal care location, n (%) | ||
| Hospital site | 77 (41.2) | 61 (33.9) |
| Community health center | 110 (58.8) | 119 (66.1) |
| Prenatal provider type, n (%) | ||
| Midwife | 77 (41.2) | 83 (46.1) |
| OB | 48 (25.7) | 45 (25.0) |
| Family medicine | 24 (12.8) | 19 (10.6) |
| Other | 8 (4.3) | 4 (2.2) |
| Unsure | 30 (16.0) | 29 (16.1) |
| Group prenatal care | 33 (17.7) | 41 (22.8) |
| Food insecurity,b n (%) | 52 (25.1) | 66 (32.3) |
| Housing insecurity,c n (%) | 44 (21.3) | 48 (23.5) |
| Energy insecurity,c n (%) | 23 (11.1) | 29 (14.2) |
| Social isolation,d n (%) | 22 (11.8) | 24 (13.3) |
| Gestational age at enrollment, weeks (SD) | 19.5 (1.53) | 19.7 (1.50) |
Intervention components and fidelity
Of 187 people included in the intervention group analysis, 172 (92%) participants received a prenatal visit, 142 (76%) received labor support, and 132 (71%) had a Birth Sister postpartum visit. Primary reasons for no labor support are as follows: 14 delivered at another hospital, 1 was lost to follow-up, 9 declined services after enrollment in the study, 4 delivered precipitously before the Birth Sister arrived, 12 gave birth without the Birth Sister being notified, and 5 were unknown.
The mean number of prenatal meeting hours was 5.3 (range 0–18.8), mean number of hours of labor support was 10.7 (range 0–25.5), and mean number of postpartum meeting hours was 3.1 (range 0–12.5). There was no difference in program fidelity by individual Birth Sisters. The mean caseload by Birth Sister was 13.2 (range 1–34) over the 28 months of enrollment. One hundred twenty-seven (91%) participants were matched with a doula who was racially congruent.
In the control group, 25 participants received a referral for the hospital's Birth Sisters Program through their clinical provider, although these participants did not receive the full BBB intervention, including MLP | Boston, since they were not enrolled in the intervention arm of the study. Thirteen received a Birth Sister prenatal visit, five had Birth Sister labor support, and eight had a Birth Sister postpartum visit. Typical program uptake is more reflective of the BBB intervention uptake described above.
Intent-to-treat outcomes
As shown in Table 2, there were no significant difference between randomization groups in the primary outcome of cesarean birth (p=0.72). Overall breastfeeding initiation rates were high, but there was a trend (defined as a p-value of ≤0.1) toward increased breastfeeding initiation (p=0.08). Differences in Apgar scores <4 at 5 min were not statistically significant, but all fell in the control group. There were no differences in the other outcomes.
Table 2.
Intent-to-treat Outcomes
| Outcome | Best beginnings, n=187 | Control, n=180 | OR (95% CI) |
|---|---|---|---|
| Cesarean birth | 53 (28.3) | 54 (30.0) | 0.92 (0.59–1.45) |
| Nulliparous term singleton vertex cesarean birth (n=329) | 43 (26.1) | 46 (28.1) | 0.90 (0.56–1.47) |
| Obstetric hemorrhage | 22 (11.8) | 22 (12.2) | 0.91 (0.49–1.70) |
| Gestational hypertension | 22 (11.8) | 20 (11.1) | 1.07 (0.56–2.03) |
| Assisted vaginal birth | 9 (4.8) | 8 (4.4) | 1.09 (0.41–2.88) |
| Epidural | 119 (63.6) | 114 (63.3) | 0.99 (0.65–1.50) |
| Apgar score <4 at 5 min | 0 (0.0) | 3 (1.7) | 0.14 (0.01–2.64) |
| Preterm birth | 17 (9.1) | 13 (7.2) | 1.28 (0.61–2.73) |
| Low birth weight | 16 (8.6) | 14 (7.8) | 1.11 (0.52–2.34) |
| Neonatal intensive care unit admission | 24 (12.8) | 22 (12.2) | 1.06 (0.57–1.96) |
| Breastfeeding initiation | 185 (98.9) | 173 (96.1) | 3.74 (0.77–18.26) |
| Breastfeeding exclusivity | 78 (41.7) | 82 (45.6) | 0.86 (0.57–1.29) |
| Breastfeeding continuationa (n=313) | 94 (58.4) | 89 (58.5) | 1.03 (0.64–1.66) |
| Postpartum depressionb (n=313) | 30 (18.6) | 29 (19.1) | 0.93 (0.50–1.72) |
Adjusted by prenatal infant feeding intention and postpartum interview timing.
Adjusted by prenatal depression status and postpartum interview timing.
CI, confidence interval; OR, odds ratio.
Exploratory analysis
Baseline characteristics by subgroups were balanced (Table 3). For Black non-Hispanic participants, there was an absolute reduction in cesarean births of 12.9% (28.4% vs. 41.3%). For nulliparous term singleton vertex (NTSV) births, the reduction was 14.5 absolute percentage points (25.9% vs. 40.4%). Breastfeeding exclusivity during the birth hospitalization increased from 33.3% to 44.8%.
Table 3.
Exploratory Analysis for Non-Hispanic Black Race/Ethnicity
| Outcome | Non-Hispanic Black |
OR (95% CI) | Othera |
OR (95% CI) | ||
|---|---|---|---|---|---|---|
| Best beginnings, n=67 | Control, n=63 | Best beginnings, n=120 | Control, n=117 | |||
| Cesarean birth | 19 (28.4) | 26 (41.3) | 0.53 (0.28–1.20) | 34 (28.3) | 28 (23.9) | 1.26 (0.70–2.25) |
| Nulliparous term singleton vertex cesarean birth (n=329) | 15 (25.9) | 23 (40.4) | 0.52 (0.23–1.14) | 28 (26.2) | 23 (21.5) | 1.29 (0.69–2.43) |
| Assisted vaginal birth | 6 (9.0) | 3 (4.8) | 2.00 (4.80–8.36) | 3 (2.5) | 5 (4.3) | 0.57 (0.13–2.46) |
| Obstetric hemorrhage | 8 (11.9) | 9 (14.3) | 0.81 (0.29–2.26) | 14 (11.7) | 13 (11.1) | 1.06 (0.47–2.36) |
| Gestational hypertension | 11 (16.4) | 13 (20.6) | 0.76 (0.31–1.84) | 11 (9.2) | 7 (6.0) | 1.59 (0.59–4.24) |
| Epidural in labor | 44 (65.7) | 39 (61.9) | 1.18 (0.58–2.41) | 75 (62.5) | 75 (64.1) | 0.93 (0.55–1.58) |
| Apgar score <4 at 5 min | 0 (0.0) | 1 (1.6) | 0.48 (0.40–0.58) | 0 (0.0) | 2 (1.7) | 0.49 (0.43–0.56) |
| Neonatal intensive care unit admission | 9 (13.4) | 10 (15.9) | 0.82 (0.31–2.18) | 15 (12.5) | 12 (10.3) | 1.25 (0.56–2.80) |
| Low birth weight | 6 (9.0) | 4 (6.4) | 1.45 (0.39–5.40) | 10 (8.3) | 10 (8.5) | 0.97 (0.39–2.43) |
| Preterm delivery | 8 (11.9) | 6 (9.5) | 1.29 (0.42–3.95) | 9 (7.5) | 7 (6.0) | 1.27 (0.46–3.54) |
| Breastfeeding initiation | 67 (100) | 61 (96.8) | 2.10 (1.75–2.52) | 118 (98.3) | 112 (95.7) | 2.63 (0.50–13.85) |
| Breastfeeding exclusivity | 30 (44.8) | 21 (33.3) | 1.62 (0.80–3.30) | 48 (40.0) | 61 (52.1) | 0.61 (0.37–1.02) |
| Breastfeeding continuationb (n=313) | 36 (64.3) | 31 (57.4) | 1.48 (0.65–3.37) | 58 (55.2) | 58 (59.2) | 0.89 (0.49–1.62) |
| Postpartum depressionc (n=313) | 15 (26.8) | 13 (24.1) | 1.49 (0.55–4.01) | 15 (14.3) | 16 (16.3) | 1.01 (0.44–2.29) |
Hispanic (n=178), non-Hispanic White (n=25), Asian (n=16), and Other (n=18).
Adjusted by prenatal infant feeding intention and postpartum interview timing.
Adjusted by prenatal depression status and postpartum interview timing.
For participants who were not Black non-Hispanic, the direction of the effect was reversed, with a 4.4% absolute increase in cesarean births overall and a similar increase of 4.7% for NTSV cesarean births. There was also a reversal of direction for exclusive breastfeeding, decreasing from 52.1% to 40.0%.
Per-protocol analysis
In the per-protocol analysis, 138 of 187 (73.7%) participants in the intervention group and 156 of 180 (86.7%) in the control group were included (Table 4). There was no statistically significant difference in the primary outcome (p=0.39) or any of the secondary outcomes. Preterm birth, low birth weight, and NICU admissions were lower for the intervention group, which is a change in the direction of the effect from the intent-to-treat analysis.
Table 4.
Per-protocol Analysis
| Outcome | Best beginnings, n=138 | Control, n=156 | Adjusted OR (99% CI) |
|---|---|---|---|
| Cesarean birtha | 37 (26.8) | 49 (31.4) | 0.79 (0.40–1.58) |
| Nulliparous term singleton vertex cesarean birtha (n=268) | 34 (26.6) | 41 (29.3) | 0.86 (0.41–1.78) |
| Assisted vaginal birthb | 6 (4.4) | 6 (3.9) | 1.55 (0.31–7.88) |
| Obstetric hemorrhagec | 15 (10.9) | 21 (13.5) | 0.83 (0.40–1.73) |
| Gestational hypertensiond | 14 (10.1) | 17 (10.9) | 1.00 (0.36–2.78) |
| Epidurale | 96 (69.6) | 99 (63.5) | 1.34 (0.82–2.19) |
| Apgar score <4 at 5 minf | 0 (0.0) | 3 (1.9) | 0.52 (0.46–0.61) |
| Low birth weightg | 6 (4.4) | 12 (7.7) | 0.63 (0.16–2.45) |
| Preterm deliveryg | 9 (6.5) | 13 (8.3) | 0.80 (0.24–2.60) |
| Neonatal intensive care unit admissionh | 13 (9.4) | 22 (14.1) | 0.75 (0.23–2.45) |
| Breastfeeding initiatione | 138 (100.0) | 149 (95.5) | 1.05 (1.00–1.09) |
| Breastfeeding exclusivityi | 60 (43.5) | 74 (47.4) | 0.82 (0.44–1.51) |
| Breastfeeding continuationj (n=252) | 74 (61.7) | 79 (59.9) | 1.11 (0.52–2.40) |
| Postpartum depressionk (n=252) | 21 (17.5) | 21 (15.9) | 0.92 (0.32–2.60) |
Adjusted by age and prenatal care location.
Adjusted by age, race, and prenatal care location.
Adjusted by prenatal care location, race, and food security.
Adjusted by race, prenatal provider type, and natality.
Adjusted by English fluency.
Adjusted by no adjustment.
Adjusted by natality and housing security.
Adjusted by race, prenatal care location, preterm birth, low birth weight, and food security.
Adjusted by food security.
Adjusted by postpartum interview timing, prenatal feeding plan, natality, food security status, prenatal care location, race, and English fluency.
Adjusted by postpartum interview timing, prenatal depression screening, prenatal care location, and English fluency.
Discussion
This effectiveness trial did not show significant differences in outcomes between randomization groups. The single-site intention-to-treat analysis, while maximizing the internal validity of the study, limits its generalizability to other settings. Additionally, nonadherence to the assigned treatment and loss to follow-up in pragmatic trials can make interpretation of the intent-to-treat analysis unclear.34
Our per-protocol analysis attempts to understand how participants would benefit from the intervention with full adherence to the randomized treatment.34 However, a per-protocol analysis loses the benefits of randomization in reducing bias.
We followed standard statistical analysis recommendations for per-protocol analyses by adjusting for confounders and specifying a more restrictive definition of significance.34 The larger magnitude of absolute reduction in cesarean births in the per-protocol compared with the intent-to-treat analysis (4.6% vs. 1.7%) and reversal of direction for preterm birth outcomes are more consistent with prior studies.18,20
The subgroup analysis by race suggests that the BBB intervention may improve cesarean and breastfeeding outcomes for Black non-Hispanic participants. These results are exploratory and were not powered to find statistically meaningful differences between groups. However, based on a scan of the literature in PubMed, this study is the first trial to examine the relationship between racially/culturally congruent doula support and maternal health outcomes.
The reduction in racial disparities for Black non-Hispanic people in this trial has important implications for advancing health equity. As noted previously, cesarean birth rates are higher in Black non-Hispanic populations, are correlated with higher rates of morbidity and mortality, and are related to obstetric racism. Breastfeeding rates are also lower for Black populations as a result of historical and current systemic racism.7,35
The important advantages of breastfeeding for the health of both infant and mother are well documented.36 The finding that community doulas may improve these rates is important for understanding the potential intergenerational impact of doulas on health and gives support to the call for doulas as an integral part of birthing care for Black people.37
Health equity, according to the CDC, is defined as “the state in which everyone has a fair and just opportunity to attain their highest level of health. Achieving this requires focused and ongoing societal efforts to address historical and contemporary injustices; overcome economic, social, and other obstacles to health and healthcare; and eliminate preventable health disparities.”38
The BBB intervention achieves this definition of health equity in three ways. First, it addresses historical injustices rooted in the systematic elimination of Black birth workers in the United States by recognizing the experience and expertise of Black birthing people and their communities. Second, the BBB intervention helps birthing people connect with resources that reduce economic and social barriers to health. Third, it reduces disparities in cesarean birth and breastfeeding outcomes between Black birthing people and those of other races/ethnicities.
We did not compare disparities in outcomes between Black and White groups due to the small number of White non-Hispanic participants. Nationally, White, non-Hispanic, nulliparous birthing people have a low-risk cesarean rate of 24.9% similar to the low-risk cesarean birth rate of 25.9% for Black non-Hispanic participants in the intervention group, down from 41.3% in the control group.39
The literature offers suggestions about why the use of community doulas may be an effective strategy to achieve health equity for Black birthing people. Community doulas ensure that racially and culturally congruent emotional, physical, and informational support is available for those most at risk for experiencing structural racism and bias in health care.17,27,36,37 Emotional support may particularly influence Black maternal health since anti-Black racism is pervasive and emotionally draining.
Qualitative studies of doulas serving Black people show that racial congruence and shared lived experience are valued by doula clients and promote a trusting relationship that mitigates the effects of racism in maternity care.40,41 Survey research also suggests that the presence of the doula improves the experience of respectful care for Black people,42 potentially reducing unnecessary cesarean births. This outcome is also important for reducing disparities in maternal morbidity since cesarean births have higher rates of hemorrhage and complications in both current and future pregnancies.21
It is unclear why the subgroup analyses showed worse outcomes in the other subgroups. Perhaps cesarean rates in the control group were low enough that further reduction would require a different type of intervention. Alternatively, since the exploratory analyses were not powered to find statistically significant differences in outcomes, the stratified analysis results could be due to chance.
Limitations
The primary limitation of this study is that it enrolled 411 rather than the 494 participants needed to find the expected change in the primary outcome. Additionally, the 10% absolute reduction anticipated for the power calculation overestimated the magnitude of change. The exploratory study, by definition, was also not powered to find statistically meaningful differences between groups for the primary outcome of cesarean birth.
Additionally, obstetric racism in and of itself is a negative outcome and the narrow focus on the primary outcome of cesarean birth is a limitation for understanding the larger impact of doulas on health equity.43,44 Finally, the exclusion of higher risk pregnancies is also a limitation for fully understanding the impact of doulas on Black birthing people since they suffer a disproportionate burden of pre-existing diabetes and hypertension.
Conclusions
This trial provides useful information for future research on the impact of doulas on advancing health equity. Future trials should enroll larger numbers of Black birthing people and anticipate smaller changes in cesarean birth. Qualitative and ethnographic research should also investigate why community doula support is particularly impactful for Black birthing people.
Supplementary Material
Acknowledgments
The authors thank the participants, the Birth Sisters, and the Medical Legal Partnership | Boston for their contributions to this study. Medical Legal Partnership received grant funding for their work.
Abbreviations Used
- BBB
Best Beginnings for Babies
- BIPOC
Black, Indigenous, and People of Color
- CDC
Centers for Disease Control and Prevention
- CI
confidence interval
- MLP
Medical Legal Partnership
- NICU
neonatal intensive care unit
- NTSV
nulliparous term singleton vertex
- OB
obstetrician
- OR
odds ratio
- SD
standard deviation
- SDoH
social determinants of health
Authors' Contributions
J.M.-S. was involved in conceptualization (lead), funding acquisition (lead), formal analysis (equal), writing—original draft (lead), and writing—review and editing (equal); D.D. was involved in conceptualization (supporting), writing—original draft (supporting), and writing—review and editing (equal); H.C. was involved in methodology (supporting) and writing—review and editing (equal); D.R. and L.S. were involved in review and editing (equal); E.A.V. was involved in software (lead), data curation (lead), formal analysis (equal), and writing—review and editing (equal); and E.F. was involved in conceptualization (supporting), methodology (lead), writing—original draft (supporting), and writing—review and editing (equal).
Author Disclosure Statement
No competing financial interests exist.
Funding Information
Funding for the study was provided by the W.K. Kellogg Foundation [Project number: P3030989]. They had no role in the design of the study, in collection, analysis, and interpretation of data, in the writing of the report, or in the decision to submit the article for publication.
Supplementary Material
Cite this article as: Mottl-Santiago J, Dukhovny D, Cabral H, Rodrigues D, Spencer L, Valle EA, Feinberg E (2023) Effectiveness of an enhanced community doula intervention in a safety net setting: a randomized controlled trial, Health Equity 7:1, 466–476, DOI: 10.1089/heq.2022.0200.
References
- 1. Wang E, Glazer KB, Howell EA, et al. Social determinants of pregnancy-related mortality and morbidity in the United States: A systematic review. Obstet Gynecol 2020;135(4):896–915; doi: 10.1097/AOG.0000000000003762 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Braveman PA, Arkin E, Proctor D, et al. Systemic and structural racism: definitions, examples, health damages, and approaches to dismanteling. Health Affairs (Millwood) 2022;41(2):171–178. [DOI] [PubMed] [Google Scholar]
- 3. Singh GK. Trends and social inequalities in maternal mortality in the United States, 1969–2018. Int J MCH AIDS 2021;10(1):29–42; doi: 10.21106/ijma.444 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Petersen EE, Davis NL, Goodman D, et al. Vital signs: Pregnancy-related deaths, United States, 2011–2015, and strategies for prevention, 13 states, 2013–2017. MMWR Morb Mortal Wkly Rep 2019;68(18):423–429; doi: 10.15585/mmwr.mm6818e1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Liese KL, Mogos M, Abboud S, et al. Racial and ethnic disparities in severe maternal morbidity in the United States. J Racial Ethn Health Disparities 2019;6(4):790–798; doi: 10.1007/s40615-019-00577-w [DOI] [PubMed] [Google Scholar]
- 6. Holdt Somer SJ, Sinkey RG, Bryant AS. Epidemiology of racial/ethnic disparities in severe maternal morbidity and mortality. Semin Perinatol 2017;41(5):258–265; doi: 10.1053/j.semperi.2017.04.001 [DOI] [PubMed] [Google Scholar]
- 7. Chiang KV, Li R, Anstey EH, et al. Racial and ethnic disparities in breastfeeding initiation—United States, 2019. MMWR Morb Mortal Wkly Rep 2021;70(21):769–774; doi: 10.15585/mmwr.mm7021a1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Peahl AF, Moniz MH, Heisler M, et al. Experiences with prenatal care delivery reported by black patients with low income and by health care workers in the US: A qualitative study. JAMA Netw Open 2022;5(10):e2238161; doi: 10.1001/jamanetworkopen.2022.38161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Declercq ER, Sakala C, Corry MP, et al. Listening to mothersSM III. New Mothers Speak Out Childbirth Connections: New York; 2013. [Google Scholar]
- 10. Attanasio L, Kozhimannil KB. Patient-reported communication quality and perceived discrimination in maternity care. Med Care 2015;53(10):863–871; doi: 10.1097/MLR.0000000000000411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Howell EA, Mora PA, Horowitz CR, et al. Racial and ethnic differences in factors associated with early postpartum depressive symptoms. Obstet Gynecol 2005;105(6):1442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Chambers BD, Arega HA, Arabia SE, et al. Black women's perspectives on structural racism across the reproductive lifespan: A conceptual framework for measurement development. Matern Child Health J 2021;25:402–413. [DOI] [PubMed] [Google Scholar]
- 13. Davis DA. Obstetric racism: The racial politics of pregnancy, labor, and birthing. Med Anthropol 2019;38(7):560–573. [DOI] [PubMed] [Google Scholar]
- 14. Holmes JL. Safe in a Midwife's Hands. Birthing Traditions from Africa to the American South. Mad Creek Books, Ohio State University Press: Columbus, OH; 2023. [Google Scholar]
- 15. Goode K, Katz Rothman B. African-American midwifery, a history and a lament. Am J Econ Sociol 2017;76(1):65–94. [Google Scholar]
- 16. Mahoney M, Mitchell L.. The Doulas: Radical Care for Pregnant People. The Feminist Press: New York; 2016. [Google Scholar]
- 17. Bey A, Brill A, Porchia-Albert C, et al. Advancing Birth Justice: Community-Based Doula Models as a Standard of Care for Ending Racial Disparities. Every Mother Counts: New York, NY; 2019. [Google Scholar]
- 18. Steel A, Frawley J, Adams J, et al. Trained or professional doulas in the support and care of pregnant and birthing women: A critical integrative review. Health Soc Care Community 2015;23(3):225–241; doi: 10.1111/hsc.12112 [DOI] [PubMed] [Google Scholar]
- 19. Kozhimannil KB, Vogelsang CA, Hardeman RR, et al. Disrupting the pathways of social determinants of health: Doula support during pregnancy and childbirth. J Am Board Fam Med 2016;29(3):308–317; doi: 10.3122/jabfm.2016.03.150300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Bohren MA, Hofmeyr GJ, Sakala C, et al. Continuous support for women during childbirth. Cochrane Database Syst Rev 2017;7:CD003766; doi: 10.1002/14651858.CD003766.pub6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Keag OE, Norman JE, Stock SJ. Long-term risks and benefits associated with cesarean delivery for mother, baby, and subsequent pregnancies: Systematic review and meta-analysis. PLoS Med 2018;15(1):e1002494; doi: 10.1371/journal.pmed.1002494 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Bohren MA, Berger BO, Munthe-Kaas H, et al. Perceptions and experiences of labour companionship: A qualitative evidence synthesis. Cochrane Database Syst Rev 2019;3:CD012449; doi: 10.1002/14651858.CD012449.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Mottl-Santiago J, Herr K, Rodrigues D, et al. The Birth Sisters Program: A model of hospital-based Doula support to promote health equity. J Health Care Poor Underserved 2020;31(1):43–55; doi: 10.1353/hpu.2020.0007 [DOI] [PubMed] [Google Scholar]
- 24. Li F, Wu T, Lei X, et al. The Apgar score and infant mortality. PLoS One 2013;8:e69072; doi: 10.1371/journal.pone.0069072 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Cox J, Holden J, Sagovsky R. Detection of postnatal depression: Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry, 1987;150(6):782–786; doi: 10.1192/bjp.150.6.782 [DOI] [PubMed] [Google Scholar]
- 26. Mahoney J. The alliance for innovation in maternal health care: A way forward. Clin Obstet Gynecol 2018;61(2):400–410; doi: 10.1097/GRF.0000000000000363 [DOI] [PubMed] [Google Scholar]
- 27. Howell EA. Reducing disparities in severe maternal morbidity and mortality. Clin Obstet Gynecol 2018;61(2):387–399; doi: 10.1097/GRF.0000000000000349 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Ahn R, Gonzalez GP, Anderson B, et al. Initiatives to reduce maternal mortality and severe maternal morbidity in the United States: A narrative review. Ann Intern Med 2020;173(11 Suppl):S3–S10; doi: 10.7326/M19-3258 [DOI] [PubMed] [Google Scholar]
- 29. Harrington D, D'Agostino RB, Sr., Gatsonis C, et al. New guidelines for statistical reporting in the journal. N Engl J Med 2019;381(3):285–286; doi: 10.1056/NEJMe1906559 [DOI] [PubMed] [Google Scholar]
- 30. Educational Research Service. U.S. Adult Food Security Research Module: Three Stage Design with Screeners. U.S. Department of Agriculture: Washington, DC; 2012. Available from: ers.usda.gove/topics/food-nutrition-assistance/food-security-in-the u-s/survey-tools/#adult [Last accessed: June 10, 2023]. [Google Scholar]
- 31. Cutts DB, Meyers AF, Black MM, et al. US Housing insecurity and the health of very young children. Am J Public Health 2011;101(8):1508–1514; doi: 10.2105/AJPH.2011.3001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Cook J, Ettinger de Cuba S, March E, et al. Energy Insecurity is a Major Threat to Child Health. Policy Action Brief. Children's Health Watch: Boston, MA; 2010. [Google Scholar]
- 33. Russell DW. UCLA Loneliness Scale (Version 3): Reliability, validity, and factor structure. J Pers Assess 1996;66(1):20–40; doi: 10.1207/s15327752jpa6601_2. [DOI] [PubMed] [Google Scholar]
- 34. Hernán MA, Robins JM. Per-protocol analyses of pragmatic trials. N Engl J Med 2017;377(14):1391–1398; doi: 10.1056/NEJMsm1605385 [DOI] [PubMed] [Google Scholar]
- 35. Robinson K, Fial A, Hanson L. Racism, bias, and discrimination as modifiable barriers to breastfeeding for African American Women: A scoping review of the literature. J Midwifery Womens Health 2019;64:734–742 [DOI] [PubMed] [Google Scholar]
- 36. Prentice AM. Breastfeeding in the modern world. Ann Nutr Metab 2022;78(2):29–38. [DOI] [PubMed] [Google Scholar]
- 37. Black Mamas Matter Alliance. Setting the Standard for Holistic Care of and for Black Women; April 2018. Available from: http://blackmamasmatter.org/wp-content/uploads/2018/04/ [Last accessed: June 10, 2023].
- 38. What is Health Equity? Centers for Disease Control and Prevention. 2022. Available from: https://www.cdc.gov/healthequity/whatis/index.html#print [Last accessed: June 10, 2023].
- 39. Martin JA, Hamilton BE, Osterman MJK. Births in the United States, 2020. NCHS Data Brief, No. 418. National Center for Health Statistics: Hyattsville, MD; 2021. [PubMed] [Google Scholar]
- 40. Breedlove G. Perceptions of social support from pregnant and parenting teens using community-based doulas. J Perinat Educ 2005;14(3):15–22; doi: 10.1624/105812405x44691 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Hmiel L, Collins C, Brown P, et al. “We have this awesome organization where it was built by women for women like us”: Supporting African American women through their pregnancies and beyond. Soc Work Health Care 2019;58(6):579–595; doi: 10.1080/00981389.2019.1597007 [DOI] [PubMed] [Google Scholar]
- 42. Mallick LM, Thoma ME, Shenassa ED. The role of doulas in respectful care for communities of color and Medicaid recipients. Birth 2022;49(4):823–832; doi: 10.1111/birt.12655 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Lett E, Hyacinthe MF, Davis DA, et al. Community support persons and mitigating obstetric racism during childbirth. Ann Fam Med 2023;21(3):227–233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. White VanGompel E, Lai JS, Davis DA, et al. Psychometric validation of a patient-reported experience measure of obstetric racism© (The PREM-OB Scale™ suite). Birth 2022;49(3):514–525; doi: 10.1111/birt.12622 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.

