Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Comfort in a cross-sector care delivery model to address birth inequities: Learnings from San Francisco’s Pregnancy Village

  • Osamuedeme J. Odiase ,

    Roles Data curation, Formal analysis, Investigation, Methodology, Project administration, Validation, Writing – original draft, Writing – review & editing

    osamuedeme.odiase@ucsf.edu

    Affiliation Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, California, United States of America

  • April J. Bell,

    Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Validation, Writing – review & editing

    Affiliation Department of Family and Community Medicine, University of California, San Francisco, California, United States of America

  • Alison M. El Ayadi,

    Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Validation, Writing – review & editing

    Affiliations Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, California, United States of America, Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America

  • KaSelah Crockett,

    Roles Writing – review & editing

    Affiliations Compass & Keys, Oakland, California, United States of America, Pop-Up Village, Oakland, California, United States of America

  • Malini A. Nijagal,

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Validation, Writing – review & editing

    Affiliation Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, California, United States of America

  • Patience A. Afulani

    Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing

    Affiliations Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, California, United States of America, Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America

Abstract

Introduction

Comfort is a key factor in physical and mental health, influencing overall well-being. Though once seen as peripheral to the patient care experience, it is now recognized as a critical outcome. For Black and other historically minoritized birthing individuals—who face racism, disproportionally higher morbidities, and unequal care—comfort is key to a safe, positive pregnancy experience. Innovative, community-driven models designed to improve comfort are therefore needed. San Francisco’s Pregnancy Village (PV) is a novel, cross-sector care delivery model providing a one-stop shop for clinical, city government, and wraparound services in a dignified and uplifting environment for Black and other minoritized pregnant individuals and their families. This study aims to examine comfort at PV and its key predictors.

Methods

We surveyed 114 participants (57 pregnant/postpartum individuals and 57 family members) between July 10, 2021 and June 30, 2022. Comfort was measured using a 3-item scale capturing the affective dimension of comfort, with scores standardized to 0–100 scale. Additionally, two individual items assessed situational aspects of comfort: (1) discomfort being seen at PV and (2) feeling out of place at PV. We performed univariate, bivariate, and multivariate analyses.

Results

The mean comfort score was 96.2/100 (SD = 11.4). Pregnant and postpartum participants, as well as those with limited social support, felt significantly less comfortable with the idea of being seen by friends at PV compared to family members and those with strong social support, respectively. Participants with some higher education and those reporting occasional everyday discrimination felt significantly less out of place at PV than those with a high school diploma or no discrimination experiences.

Conclusions

The Pregnancy Village model fostered generally high levels of comfort among Black and other minoritized pregnant individuals and their families in San Francisco, California. However, lower comfort levels among pregnant and postpartum individuals, those with lower educational attainment, and individuals lacking social support underscore the need for greater investment in co-led community-institutional, culturally responsive, and trauma-informed care approaches to foster comfort, particularly for those who face the severest inequities.

Introduction

Comfort is a determinant of physical and mental health, significantly impacting overall well-being [1]. The Comfort Always Matters (CALM) Framework defines comfort as a dynamic, transient state that encompasses relief from physical and emotional distress, accompanied by a growing sense of safety, positivity, and resilience [2]. This state is sustained by feeling valued and adequately supported, and by having agency in care decisions [2]. While comfort has traditionally been considered auxiliary to quality of care models, it has recently emerged as one of the critical patient-reported indicators of experience of care [3]. Black and other historically minoritized women and gender-diverse birthing people (we subsequently use ‘individuals’ for brevity) in the United States face significant vulnerabilities such as racism and discrimination, disproportionally higher rates of pregnancy complications, and unequal access to high-quality care [4,5]. Ensuring comfort is thus essential to providing a positive and safe pregnancy experience.

Comfort during perinatal care-seeking and receipt is significantly shaped by three interconnected spheres of influence: the individual, interpersonal relationships (e.g., family and friends, and extending to relationships with healthcare personnel), and the clinical built environment [2]. At the individual level, one’s sense of comfort is influenced by the use of self-comforting strategies (e.g., seeking signs of safety, positive thinking, and building the capacity to trust), as well as the need for affirming connection through cultural identity, shared community, spiritual practices, or emotionally safe relationships [2]. These forms of connection foster belonging, validate lived experiences, and offer grounding through shared language, rituals, or values, all of which can help individuals regulate emotions and restore a sense of safety and wholeness [6]. Unsurprisingly, family plays a significant role in shaping comfort, providing support rooted in shared culture and mutual understanding [2]. Family involvement and the emotional comfort and security they provide [7] serve as a protective factor for Black birthing individuals, contributing to reduced stress, lower incidence of postpartum depression, and increased psychological well-being [8].

In the facility setting, patient-provider interactions and the built environment may be equally influential on comfort. The limited existing literature on the comfort levels of Black and other minoritized pregnant individuals highlights their discomfort in care environments through frequent negative care experiences, often shaped by medical and systemic racism. For instance, Black pregnant individuals often report experiencing anti-Black medical gaslighting (e.g., dismissed concerns and credibility being questioned), being treated with less empathy, and receiving differential treatment, where they may be “red flagged” based on their personal history, such as prior contact with the criminal justice system [911]. The clinical built environment plays a key role in shaping comfort [1]; yet greater emphasis has historically been placed on designing systems and processes to maximize clinical function and efficiency, while the physical environment has been largely overlooked in consideration of safety, comfort, and well-being for all individuals [12]. This failure falls hardest on those at the margins, particularly Black birthing individuals, who often experience emotional unsafety in clinical spaces [13,14]. This has consequently spurred a growing movement toward community-based perinatal care as a more inclusive and affirming alternative [15,16]. These compounding structural failures underscore the urgent need to design care environments that are safe, accessible, supportive, and comfortable for every person who enters them [17].

Addressing these individual, interpersonal, and structural inequities requires novel, community-driven models designed to foster comfort in care environments to improve the care experience and outcomes for marginalized communities. In the current paper, we evaluate comfort and key predictors of comfort among participants who engaged in the “SF Family & Pregnancy Pop-Up Village” (subsequently referred to as “Pregnancy Village” (PV) for brevity), a cross-sector collaboration providing comprehensive wellness services in a supportive, comforting, and uplifting monthly one-stop shop environment for Black-identifying pregnant individuals in San Francisco. Further information about the development and implementation of PV can be found elsewhere [18,19]. The analysis focuses on the formative phase of PV spanning the initial nine months from July 2021 to June 2022.

Materials and methods

Setting

The Pregnancy Village is situated in the Bayview, a historically marginalized neighborhood in San Francisco with approximately 35,000 residents who face significant health inequities. Most birthing individuals are enrolled in Medicaid (61%), and 93% are from racial or ethnic minority groups [20]. The neighborhood experiences significantly lower rates of timely prenatal care, as well as higher rates of preterm births and low birth weight [21]. To promote access and community engagement, PV held events near major public transit routes and community-based organizations [22]. The space was designed with vibrant visual elements, shaded areas, varied seating, and attractive ground treatments to create a welcoming, community-centered environment that reflects PV’s core values [22].

Intervention

The Pregnancy Village is a collaborative, cross-sector care delivery model designed to address perinatal inequities by providing a one-stop shop for comprehensive wellness services in a celebratory, uplifting, and dignified environment for Black pregnant individuals and their families. Held monthly, these events bring together partners from the city government, healthcare, and community-based organizations. The services offered encompass traditional healthcare support—such as medical consultations and Medicaid enrollment—and holistic wellness practices, including food demonstrations, acupuncture, massage, dance classes, and sharing circles [19]. Grounded in anti-racism and person-centered care principles, the model fosters sustainable community-institution partnerships and integrates a real-time feedback mechanism to ensure the model remains responsive to evolving community needs [19]. Further details regarding the implementation of PV can be found elsewhere [19].

Study design

The data for this analysis are part of a larger community-engaged, mixed-methods evaluation involving quantitative and qualitative data triangulation. The evaluation aimed to assess: 1) the feasibility and fidelity of PV; 2) accessibility and acceptability of PV, and factors influencing sustained participation from service providers; and 3) the preliminary impact of PV, including perceptions of comfort, person-centeredness, and trust [22,23]. This paper reports on the quantitative component of the evaluation, specifically measuring participants’ perceived comfort at PV and examining its key predictors.

Sampling and participants

We employed a convenience sampling strategy to recruit pregnant and postpartum individuals and family members from the first nine monthly PV events (July 10, 2021 through June 30, 2022). Although PV was specifically designed to address perinatal care inequities experienced by Black pregnant and postpartum individuals, the event organizers acknowledged its broader relevance for other marginalized populations facing systemic barriers to care. As such, recruitment efforts focused on engaging Black and other minoritized pregnant/postpartum individuals and families who accessed PV services. Eligibility criteria included: 1) being at least 15 years old for pregnant or postpartum individuals, or 18 years old for family members; 2) participation in at least one PV event; and 3) ability to communicate in English or Spanish. Our recruitment goal was 120 participants in total, with a target of enrolling approximately 10–15 individuals per event based on feasibility.

Recruitment and data collection

Eligible participants were identified through the PV registration, where study team members explained the study, invited participation, and obtained verbal informed consent. Participants could complete the survey onsite using a tablet or later on their own device through a QR code provided at the event. To minimize potential bias and ensure participants’ privacy, surveys were administered in a quiet area of PV. Participants were compensated with a $20 gift card for their participation. Individuals who attended more than one PV event were allowed to complete the survey multiple times, and multiple entries were accounted for in the analysis (see below). Of 104 eligible participants enrolled, 89 completed the survey (response rate 86%). Fifteen participants completed the survey more than once, resulting in a total of 116 survey responses.

Measures

Dependent variable: Comfort.

Comfort was operationalized as encompassing both the affective dimension—including pleasant mood, emotional uplift, and perceived safety—and situational aspects, such as feeling out of place or discomfort being seen. Comfort at PV was measured using a three-item scale adapted from the shortened 12-item General Comfort Questionnaire (GCQ) [24], supplemented by two additional items assessing situational aspects of comfort: ‘feeling out of place at PV’, derived from the shortened GCQ, and ‘discomfort being seen at PV’, developed by study team members (Individual items are provided in S1 Table). The three-item scale captured affective dimensions of comfort, such as pleasant mood, emotional uplift, and perceived safety, demonstrating good internal consistency in the full sample (Cronbach’s α = 0.77). In contrast, the two standalone items assessed situational aspects of comfort related to perceptions of social belonging. Including both measures allowed for a more comprehensive assessment of participants’ comfort within the PV environment. However, the latter two items were examined individually rather than combined into a single scale, given that their inter-item reliability was insufficient to support a composite measure. All items had a four-point frequency response option [i.e., 0-(“No, not at all”),1-(“A little”), 2-(“Somewhat”), 3- (“Yes, definitely”)]. Negatively worded items (e.g., ‘discomfort being seen at PV’ and ‘feeling out of place at PV’) were reverse-coded. Missing data (2.1%) were imputed using the mean of other items in the measure. The scores were summed and subsequently standardized to range from 0 to 100.

Covariates

Participants self-reported a range of sociodemographic characteristics, including age, race and ethnicity, gender identity, educational attainment, employment status, primary language, English language proficiency, housing status, residence, relationship status, social support, medical insurance status, food insecurity [25], and receipt of public assistance (see Table 1). Obstetric characteristics were also collected, including pregnancy status (pregnant/postpartum or family member of pregnant/postpartum individual), parity, history of prior preterm birth, pregnancy loss history (e.g., miscarriage, induced abortion, or stillbirth), and prenatal care attendance during the current or most recent pregnancy (for those who were pregnant or postpartum). Additionally, the survey included items assessing past experiences of discrimination, adapted from the Everyday Discrimination Scale and Discrimination in Medical Settings Scale [26,27].

thumbnail
Table 1. Univariate distribution of predictor variables.

https://doi.org/10.1371/journal.pone.0347316.t001

Analyses

The final analytic sample consisted of 114 responses from 89 unique individuals, after excluding four individuals deemed ineligible on a review of their demographic data. Descriptive statistics were performed to summarize participants’ sociodemographic and obstetric characteristics and their reported mean comfort level. Before conducting bivariate analyses, housing status categories were recoded (see Table 3). However, other variables were retained in their original categorical form to preserve nuance in sociodemographic and obstetric characteristics, as collapsing categories would obscure meaningful differences within the sample. To maintain statistical power and include as many participants as possible in the multivariate analyses, we recoded missing responses to questions about everyday discrimination and discrimination during prenatal care as “Sometimes.” This choice reflects an assumption of moderate exposure to discrimination among those with missing data and helps avoid listwise deletion, which could disproportionately remove individuals facing structural barriers to completing the survey [28]. We estimated linear mixed-effects models for both bivariate and multivariate analyses to address clustering due to participants completing the survey multiple times. This method allowed us to account for variability within and between participants, reducing potential bias from repeated measures. Bivariate analyses examined associations between each of the three outcome measures (the overall comfort score and the two individual comfort items (‘discomfort being seen at PV’ and ‘feeling out of place at PV’)), and predictor variables including sociodemographic characteristics, obstetric factors, and experiences of racism and discrimination. Predictors with p-values <0.05 in the bivariate analyses were included in the multivariate models. The final model selection was informed by checking for collinearity and overall model fit. To assess the robustness of the results, sensitivity analyses were conducted by excluding missing or duplicate responses (i.e., subsequent survey responses from the same individual). All analyses were performed in STATA (version 14) [29], with statistical significance set at p < 0.05.

Ethics approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Ethical approval was granted by the Institutional Review Board (IRB) of the University of California, San Francisco (#20–32393). The inclusion of participants under 18 years of age was approved by the IRB through a waiver of parental permission and a waiver of assent. The IRB granted these waivers after determining that the study procedures would not adversely affect the rights or welfare of minor participants. Because the study was conducted in a community setting and aimed to reduce participant burden, researchers obtained verbal informed consent from all participants after explaining the study and before collecting any data. Each participant was given an information sheet outlining the study in detail, and trained study personnel recorded verbal consent in paper screening and enrollment logs, with documentation confirming that consent was obtained. The use of verbal informed consent was approved by the IRB.

Results

Participant characteristics

Sociodemographic and obstetric characteristics of the 89 unique participants are provided in Table 1 (See S2 Table for univariate distributions by subgroup). Fifty-three per cent of participants were either currently pregnant or recently pregnant (within the preceding 12 months). Approximately half were aged 25–34 years (32%) or 35–44 years (20%). Over one-third identified as Black or African American (36%), and 38% identified as Latine. Forty-six per cent had attained education beyond high school, whereas 19% had not completed high school. A majority were unemployed (63%), and nearly half (49%) reported receiving income assistance. Public health insurance coverage (e.g., Medi-Cal, Medicaid) was reported by 65% of participants. Thirty-seven per cent were single, and 35% resided with a romantic partner. A history of preterm birth was reported by 24% of participants, and 29% had experienced at least one prior pregnancy loss.

Comfort at PV

Table 2 displays the standardized mean comfort scores from the three-item scale assessing the affective dimension of comfort. The mean comfort score for the full sample was 96.2 (SD = 11.4). Pregnant and postpartum participants had a mean score of 95.2 (SD = 12.9), while family members had a slightly higher mean of 97.1 (SD = 9.7), p = 0.3894. By racial and ethnic group, the mean score among Black participants was 96.5 (SD = 10.6) compared with 95.9 (SD = 12.0) for participants identifying with other racial and ethnic backgrounds, p = 0.813. In addition, the table displays the means (SD) for the two items assessing the situational aspects of comfort. For the item ‘discomfort being seen at PV,’ the full sample had a mean of 2.6 (SD = 1.0) on a 3-point scale. Pregnant and postpartum participants had a lower mean (2.4 [SD = 1.2]) than family members (2.8 [SD = 0.7]). For the item ‘feeling out of place at PV,’ the overall mean was 2.3 (SD = 1.1), with pregnant and postpartum participants again having slightly lower scores (2.1 [SD = 1.2]) than family members (2.5 [SD = 1.0]).

thumbnail
Table 2. Distribution of standardized Comfort Scale score and two items of comfort, N = 114.

https://doi.org/10.1371/journal.pone.0347316.t002

Factors associated with comfort

Comfort score.

Table 3 shows the bivariate and multivariate analyses of the comfort score. In bivariate analyses, participants without medical insurance, those who did not disclose their food insecurity status, and those who reported occasional discrimination during their usual prenatal care encounters scored on average 14.8, 8.2, and 6.9 points lower, respectively, than those with public insurance, no food insecurity, and no experiences of prenatal care discrimination. Participants aged 45 years and older scored 7.9 points higher, on average, than those aged 15–24 years. In the final multivariate model (Table 4), participants aged 45 years and older scored, on average, 10.7 points higher than those aged 15–24 (95% CI: 1.8, 9.6).

thumbnail
Table 3. Bivariate and multivariate mixed-effects linear regression of predictor variables on the Comfort score, N = 114.

https://doi.org/10.1371/journal.pone.0347316.t003

thumbnail
Table 4. Bivariate and multivariate mixed-effects linear regression of predictor variables on the Discomfort Being Seen at PV item, N = 114.

https://doi.org/10.1371/journal.pone.0347316.t004

Situational indicators of comfort.

Discomfort being seen at PV: Table 4 shows the bivariate and multivariate analyses of the discomfort being seen at PV item. In bivariate analyses, pregnant and postpartum participants, as well as those reporting only “somewhat” having social support, scored on average 0.4 and 0.6 points lower, respectively, than family members and those with definite social support (“Yes, definitely”). Conversely, participants aged 45 years and older scored 0.8 points higher, on average, than those aged 15−24 years. In the final multivariate model, participants who reported only “somewhat” having social support scored 0.5 points lower (95% CI: −1.0, −0.1) than those with definite social support (“Yes, definitely”).

Feeling out of place at PV: Table 5 shows the bivariate and multivariate analyses of the feeling out of place item. In bivariate analyses, participants working part-time and those who often experienced food insecurity scored, on average, 0.7 and 0.9 points lower, respectively, than those who were unemployed and never experienced food insecurity. Conversely, participants with at least a college degree and those who occasionally experienced everyday discrimination scored 0.7 and 0.6 points higher, respectively, than those with a high school diploma and no discrimination experiences. In the final multivariate model, participants working part-time scored on average 1.0 points lower than those who were unemployed (95% CI: −1.6, −0.4). Those who often experienced food insecurity scored on average 0.7 points lower than those who never did (95% CI: −11.9, 11.2). Participants who reported occasional prenatal discrimination scored 0.6 points higher than those who never experienced such discrimination (95% CI: 0.0,1.1).

thumbnail
Table 5. Bivariate and multivariate mixed-effects linear regression of predictor variables on the Feeling Out of Place at PV item, N = 114.

https://doi.org/10.1371/journal.pone.0347316.t005

Sensitivity analyses

The sensitivity analysis, which excluded missing and duplicate responses, yielded nearly identical standardized mean comfort scores: 96.4 (SD = 10.6) overall (N = 87), 96.9 (SD = 10.1) for pregnant and postpartum participants (n = 46), and 95.9 (SD = 11.3) for family members (n = 41).

Discussion

We aimed to assess participants’ perceived comfort at the Pregnancy Village. We found that overall comfort levels were high. However, pregnant or postpartum individuals and those with limited social support were more likely to feel uncomfortable about being seen by friends at PV compared to family members and individuals with strong social support, respectively. Conversely, participants with some higher education and those reporting occasional everyday discrimination were less likely to feel out of place at PV.

To our knowledge, this is the first study to evaluate participant comfort within a co-led community-institutional perinatal care delivery model, and as such, there are no directly comparable studies. Nonetheless, the high reported levels of comfort are consistent with other findings from the PV evaluation, including outcomes related to acceptability and person-centeredness [22,23]. Different factors may have contributed to the high levels of comfort at PV. First, PV’s community-centeredness allowed individuals to connect with others of similar sociocultural backgrounds. This sense of shared experience aligns with CALM’s emphasis on cultural connection [2] and is further supported by our acceptability assessment of the PV model [22], and evidence from group prenatal care models, such as CenteringPregnancy, which have demonstrated high acceptability among Black and other minoritized birthing individuals, largely attributed to the strong sense of community and belonging that group participation fosters [30]. Sharing circles at PV may also have fostered social connection and emotional solidarity, enhancing comfort by sharing similar challenges and validating each other’s experiences. This is supported by evidence from group prenatal care models, in which sharing experiences provided a unique form of reassurance, as participants found comfort in recognizing that their experiences and challenges were widely shared among peers navigating similar journeys [31]. Additionally, PV’s commitment to person-centered care may have contributed to participants feeling welcomed, seen, and valued by care providers [23], highlighting the quality of interpersonal care interactions in positively influencing comfort. Lastly, PV’s built environment may have played a key role. The vibrant, colorful tents, varied shade and ground treatments, and culturally affirming music and food likely contributed to a sense of place and belonging, potentially increasing participants’ comfort. Moreover, by shifting care delivery from institutional settings—often associated with deep mistrust [32,33]—to community-trusted spaces, PV has physically and symbolically transformed the care landscape.

An unexpected finding was that pregnant and postpartum participants felt less comfortable about being seen by friends at PV than by family members, despite PV’s mission to center, support, and celebrate pregnant and postpartum individuals. This discomfort may stem from a fear of being judged for perceived challenges or shortcomings, such as their readiness for parenthood, health, or socioeconomic status [34]. Further, such perceptions may reflect internalized stigmatization and contribute to discomfort seeking help, even from programs and interventions designed to be supportive and affirming. It is important to note that although situational comfort perceptions differed significantly, the absolute difference was marginal, suggesting that PV broadly supports participants’ situational comfort. Nevertheless, it is possible that PV is not fully achieving its mission for all participants. These subtle variations thus highlight opportunities to enhance inclusivity and better support vulnerable or marginalized participants who may experience situational discomfort.

Individuals with limited social support also felt less comfortable being seen at PV than those with strong social support. This may be attributed to the challenges of navigating the PV environment alone, without the presence of family or friends who typically offer emotional security, such as guidance and validation [7,8]. Social support plays a critical role in shaping positive pregnancy experiences and outcomes [8,35], and its absence can leave individuals feeling vulnerable, alienated, and stressed, negatively impacting their psychological well-being [8,36]. Further, social support is multidimensional, spanning emotional, informational, instrumental, and appraisal support [37]. While findings on the acceptability of PV suggest that PV generally met informational (e.g., perinatal and nutritional information) and instrumental (e.g., perinatal care resources) support needs [22], PV may not adequately meet the support needs of participants requiring appraisal support (e.g., validation, affirmation) and emotional support (e.g., having someone to confide in).

Individuals with only a high school diploma were more likely to feel out of place at PV than those with some post-secondary education. This could be attributed to inadequate service navigation support at PV. Individuals with lower educational attainment are more likely to have lower health literacy, which can limit their ability to navigate, understand, and act on complex information [38]. Consequently, they may require more intensive support to access care and services effectively. Compounding this issue is the possibility of unconscious provider bias, in which providers may assume that patients with lower educational attainment inherently have limited health literacy, an assumption that can lead to oversimplified explanations and the adoption of more paternalistic care approaches [39]. Without adequate support, these individuals may experience confusion, overwhelm, disempowerment, and discomfort during care encounters [40]. Findings from our evaluation of the accessibility and acceptability of PV support this notion: participants who reported inadequate service navigation perceived PV as less acceptable [22]. In response, we actively sought to expand and improve navigation support within PV. The makeup of providers could also have contributed to a diminished sense of place and belonging. While PV includes a diverse representation of providers, individuals with lower educational attainment may still perceive a lack of representation from providers who share similar socioeconomic experiences, potentially contributing to their reduced comfort.

Notably, those who experienced everyday discrimination felt less out of place than those who never did. This may be attributable to PV’s intentional anti-racist approach. Additionally, PV’s deliberate framing of care through the lens of comprehensive wellness and empowerment—eschewing the pathologization of individuals’ unique circumstances and instead affirming their lived experiences—may mitigate apprehension about being discriminated against for perceived problems. This experience is emblematic of broader discriminatory and inequitable systems [41].

Strengths and limitations

This study has some limitations. First, the model’s consistency fluctuated over time because the evaluation was conducted in a real-world setting, and the model’s dynamic co-creation and iterative approach enabled it to adapt to the community’s needs. Second, while our sample closely represented the target population, using convenience sampling methods limits the generalizability of our findings. Third, comfort at PV was measured using a brief, three-item adapted scale and two individual items. This may not fully capture all relevant dimensions of comfort in the PV context, underscoring the need for more contextually appropriate comfort measures in future research. Finally, completing surveys onsite may have contributed to social desirability bias. We mitigated this through self-administration, and participants were assured of their confidentiality and anonymity. A key strength of this study is that, to our knowledge, it is the first to assess perceived comfort in such an intervention, highlighting the need for further research in this area.

Implications

The findings demonstrate the feasibility of creating care environments that are not only accessible but comforting, particularly for those from historically minoritized communities. Black placemaking—rooted in the intersectionality of Blackness, structure, place, and agency, and which involves transforming spaces of occupancy into spaces of cultural affirmation, celebration, and belonging—is essential for fostering comfort and well-being [4245]. This transformation can be achieved by integrating culturally grounded practices, such as “Blessingway” ceremonies and birthing affirmations, which help individuals feel seen, valued, and respected [4648]. Moreover, providing platforms for Black birthing individuals, elders, and doulas to share their lived experiences can serve as a vital means for bolstering comfort [49]. Empowerment initiatives such as birthing rights education, self-advocacy support, and the collaborative development of birth plans [47,50] may also promote comfort. It is also essential that providers reflect the communities they serve socioculturally to make care more comfortable and build trust.

While PV was primarily designed to center Black birthing individuals, it is equally essential to ensure that other minoritized individuals feel comfortable accessing care, namely with the adequate provision of bilingual Spanish-speaking providers and community health workers who possess deep cultural understanding and serve as trusted advocates within their communities. Additionally, lower comfort levels among participants without social support underscore the need for care models to meet not only informational and instrumental support needs but also emotional support needs.

The success of the Pregnancy Village model in fostering high levels of comfort has meaningful implications for public health policy and service delivery reform. Integrating cross-sector partnerships that blend health, social services, and community-led programming at a policy level can shift care from transactional to transformative. This model illustrates the feasibility of reimagining perinatal care through a racial equity and healing-centered lens, which may be particularly beneficial for cities and counties with documented birth inequities. Scaling such interventions will require sustained investment, structural flexibility, and governance models that center community expertise. Embedding funding streams for culturally responsive infrastructure, trusted messengers, and community ownership will be critical for replicating and sustaining this model beyond San Francisco.

Conclusions

The pilot implementation of the Pregnancy Village model, the SF Family and Pregnancy Pop-Up Village, fostered generally high levels of comfort among Black and other minoritized pregnant individuals and their families in San Francisco, California. These findings underscore the importance of centering Black and other minoritized individuals in reimagining and co-creating what care should look and feel like, with the goal of transforming the healthcare delivery system. Our findings suggest a critical need to tailor prevalent models of perinatal care delivery to better support pregnant and postpartum individuals, those with lower educational attainment, and those with inadequate social support. While PV has taken meaningful steps to foster a supportive and affirming care environment for Black pregnant individuals, continued investment in community-driven, culturally responsive, and trauma-informed approaches is key to promoting comfort, particularly for those who face the severest inequities.

Supporting information

S1 Table. Distribution of comfort scale items.

This table shows the distribution of responses for each item on the comfort scale, as well as the two situational items of comfort.

https://doi.org/10.1371/journal.pone.0347316.s001

(XLSX)

S2 Table. Univariate distribution of predictor variables by subgroup.

This table summarizes the sociodemographic and obstetric characteristics and distribution of predictor variables stratified by subgroup.

https://doi.org/10.1371/journal.pone.0347316.s002

(XLSX)

Acknowledgments

We express our sincere gratitude to the organizations, staff, and volunteers who support PV events, delivering critical care and services to San Francisco’s underserved communities. We also wish to acknowledge the invaluable contributions of all PV participants.

References

  1. 1. Tian Y. A review on factors related to patient comfort experience in hospitals. J Health Popul Nutr. 2023;42:125. pmid:37941052
  2. 2. Wensley C, Botti M, McKillop A, Merry AF. Maximising comfort: how do patients describe the care that matters? A two-stage qualitative descriptive study to develop a quality improvement framework for comfort-related care in inpatient settings. BMJ Open. 2020;10(5):e033336. pmid:32430447
  3. 3. Patient experience in adult NHS services: improving the experience of care for people using adult NHS services. National Institute for Health and Clinical Excellence; 2012.
  4. 4. Chinn JJ, Martin IK, Redmond N. Health equity among Black women in the United States. J Womens Health (Larchmt). 2021;30(2):212–9. pmid:33237831
  5. 5. Saluja B, Bryant Z. How implicit bias contributes to racial disparities in maternal morbidity and mortality in the United States. J Womens Health (Larchmt). 2021;30(2):270–3. pmid:33237843
  6. 6. Teal EN, Daye A, Haight SC, Menard MK, Sheffield-Abdullah K. Examining Black birthing people’s experiences with racism, discrimination, and contextualized stress and their perspectives on racial concordance with prenatal providers. Health Equity. 2024;8(1):588–98. pmid:40125365
  7. 7. Mosunmola RNS, Adekunbi RNF, Foluso RNO. Women’s perception of husbands’ support during pregnancy, labour and delivery. IOSR J Nurs Health Sci. 2014;3(3):45–50.
  8. 8. Hawkins M, Misra D, Zhang L, Price M, Dailey R, Giurgescu C. Family involvement in pregnancy and psychological health among pregnant Black women. Arch Psychiatr Nurs. 2021;35(1):42–8. pmid:33593514
  9. 9. Boakye PN, Prendergast N, Bailey A, Sharon M, Bandari B, Odutayo AA. Anti-Black medical gaslighting in healthcare: experiences of Black women in Canada. Can J Nurs Res. 2024.
  10. 10. Murphy L, Liu F, Keele R, Spencer B, Kistner Ellis K, Sumpter D. An integrative review of the perinatal experiences of Black women. Nurs Womens Health. 2022;26(6):462–72. pmid:36328085
  11. 11. McLemore MR, Altman MR, Cooper N, Williams S, Rand L, Franck L. Health care experiences of pregnant, birthing and postnatal women of color at risk for preterm birth. Soc Sci Med. 2018;201:127–35. pmid:29494846
  12. 12. Dickerman KN, Barach P. Designing the built environment for a culture and system of patient safety – a conceptual, new design process. In: Henriksen K, Battles JB, Keyes MA, Grady ML, editors. Advances in Patient Safety: New Directions and Alternative Approaches. Rockville (MD): Agency for Healthcare Research and Quality (US); 2008.
  13. 13. McLemore MR, Altman MR, Cooper N, Williams S, Rand L, Franck L. Health care experiences of pregnant, birthing and postnatal women of color at risk for preterm birth. Soc Sci Med. 2018;201:127–35. pmid:29494846
  14. 14. Vedam S, Stoll K, Taiwo TK, Rubashkin N, Cheyney M, Strauss N, et al. The Giving Voice to Mothers study: inequity and mistreatment during pregnancy and childbirth in the United States. Reprod Health. 2019;16(1):77. pmid:31182118
  15. 15. Sakala C, Hernández-Cancio S, Wei R. Improving our maternity care now through community birth settings. J Perinat Educ. 2022;31(4):184–7. pmid:36277227
  16. 16. Felix K, Shim RS. Community innovations to improve Black maternal health. JAMA Health Forum. 2025;6(8):e254411. pmid:40810937
  17. 17. Greene J, Samuel-Jakubos H. Building patient trust in hospitals: a combination of hospital-related factors and health care clinician behaviors. Jt Comm J Qual Patient Saf. 2021;47(12):768–74. pmid:34654668
  18. 18. Nijagal MA, Patel D, Lyles C, Liao J, Chehab L, Williams S, et al. Using human centered design to identify opportunities for reducing inequities in perinatal care. BMC Health Serv Res. 2021;21(1):714. pmid:34284758
  19. 19. Nijagal MA, Odiase OJ, Bell AJ, El Ayadi AM, Williams S, Nicolaisen C, et al. The Family and Pregnancy Pop-Up Village: Developing a one-stop shop of services to reduce pregnancy care-related inequities in San Francisco. Birth. 2025;52(1):66–77. pmid:38887141
  20. 20. SPDPH MCAH. SFDPH Tableau data. 2021.
  21. 21. California Department of Public Health Maternal, Child, and Adolescent Health. California Department of Public Health Vital Records Business Intelligence System (VRBIS). 2022.
  22. 22. Odiase OJ, El Ayadi AM, Nijagal MA, Bell AJ, Suarez Vargas K, Diala PC, et al. Accessibility and acceptability of San Francisco’s Pregnancy Village model: a mixed-methods evaluation. Npj Womens Health. 2025;3(1):58.
  23. 23. Diala PC, Odiase OJ, Bell AJ, El Ayadi AM, Crockett K, Nijagal MA, et al. Person-centeredness of the San Francisco Pregnancy Village model of cross-sector care delivery: A mixed-methods study [Internet]. medRxiv; 2025 [cited 2025 Jun 11]. Available from: https://www.medrxiv.org/content/10.1101/2025.06.05.25329089v1
  24. 24. Comfort Line [Internet]. Measuring Comfort. [cited 2025 Jan 16]. Available from: https://www.thecomfortline.com/measuring-comfort
  25. 25. Gattu RK, Paik G, Wang Y, Ray P, Lichenstein R, Black MM. The hunger vital sign identifies household food insecurity among children in emergency departments and primary care. Children. 2019;6(10):107.
  26. 26. Everyday Discrimination Scale [Internet]. [cited 2022 May 16]. Available from: https://scholar.harvard.edu/davidrwilliams/node/32397
  27. 27. Peek ME, Nunez-Smith M, Drum M, Lewis TT. Adapting the everyday discrimination scale to medical settings: reliability and validity testing in a sample of African American patients. Ethn Dis. 2011;21(4):502–9. pmid:22428358
  28. 28. Sterne JAC, White IR, Carlin JB, Spratt M, Royston P, Kenward MG. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ. 2009;338:b2393. pmid:19564179
  29. 29. StataCorp. Stata Statistical Software: Release 14. College Station, TX: StataCorp LLC; 2017.
  30. 30. Centering pregnancy in New Jersey: Results of a mixed methods evaluation.
  31. 31. Novick G, Sadler LS, Kennedy HP, Cohen SS, Groce NE, Knafl KA. Women’s experience of group prenatal care. Qual Health Res. 2011;21(1):97–116. pmid:20693516
  32. 32. Cox K. 6. Black Americans and mistrust of the U.S. health care system and medical research. Pew Research Center [Internet]. 2024 [cited 2025 Jun 12]. Available from: https://www.pewresearch.org/race-and-ethnicity/2024/06/15/black-americans-and-mistrust-of-the-u-s-health-care-system-and-medical-research/
  33. 33. Halbert CH, Armstrong K, Gandy OH, Shaker L. Racial differences in trust in health care providers. Arch Intern Med. 2006;166(8):896.
  34. 34. Tardy RW. But I am a good mom: the social construction of motherhood through health-care conversations. J Contemp Ethnogr. 2000;29(4):433–73.
  35. 35. Feldman PJ, Dunkel-Schetter C, Sandman CA, Wadhwa PD. Maternal social support predicts birth weight and fetal growth in human pregnancy. Psychosom Med. 2000;62(5):715–25. pmid:11020102
  36. 36. Giurgescu C, Templin TN. Father involvement and psychological well-being of pregnant women. MCN Am J Matern Child Nurs. 2015;40(6):381–7. pmid:26488855
  37. 37. Glanz K, Rimer BK, Viswanath K. Health Behavior: Theory, Research, and Practice. 5th ed. Jossey-Bass; 2015.
  38. 38. Shahid R, Shoker M, Chu LM, Frehlick R, Ward H, Pahwa P. Impact of low health literacy on patients’ health outcomes: a multicenter cohort study. BMC Health Serv Res. 2022;22(1):1148. pmid:36096793
  39. 39. van Ryn M, Fu SS. Paved with good intentions: do public health and human service providers contribute to racial/ethnic disparities in health? Am J Public Health. 2003;93(2):248–55. pmid:12554578
  40. 40. Nielsen-Bohlman L, Panzer AM, Kindig DA. Health Literacy: A Prescription to End Confusion. Washington, D.C.: National Academies Press; 2004.
  41. 41. Monrose E, Ledergerber J, Acheampong D, Jandorf L. Cancer screening information at community health fairs: What the participants do with information they receive. J Public Health Res. 2017;6(2):866. pmid:29071253
  42. 42. Ordaz OH, Croff RL, Robinson LD, Shea SA, Bowles NP. Belonging, endurance, and resistance: black placemaking theory in primary care. Soc Sci Med. 2024;342:116509. pmid:38184964
  43. 43. Hunter MA, Pattillo M, Robinson ZF, Taylor KY. Black placemaking: celebration, play, and poetry. Theory Cult Soc. 2016;33(7–8):31–56.
  44. 44. Thompson-Lastad A. Group medical visits as participatory care in community health centers. Qual Health Res. 2018;28(7):1065–76.
  45. 45. Tichavakunda AA. Studying Black student life on campus: toward a theory of Black placemaking in higher education. Urban Educ. 2020;59(1):96–123.
  46. 46. Marksbury EJ. Mothers Making Meaning: An Exploration of Contemporary Ritual Practices Surrounding Childbirth. Kansas City: University of Missouri; 2023.
  47. 47. Mollard E, Elya A, Gaines C, Salahshurian E, Riordan E, Moore T, et al. Reclaiming narratives of empowerment around Black maternal health: a strengths-based, community-informed focus group study. Ethn Health. 2024;29(6):703–19. pmid:38805258
  48. 48. Valdovinos MG, Rodríguez-Coss N, Parekh R. Healing through ancestral knowledge and letters to our children: mothering infants during a global pandemic. Genealogy. 2020;4(4):119.
  49. 49. Abbyad C, Robertson TR. African American women’s preparation for childbirth from the perspective of African American Health-Care Providers. J Perinat Educ. 2011;20(1):45–53. pmid:22211059
  50. 50. Deichen Hansen ME, James BA, Sakinah I, Brown Speights JS, Rust G. Traversing traditions: prenatal care and birthing practice preferences among Black women in North Florida. Ethn Dis. 2021;31(2):227–34. pmid:33883863