Abstract
Background
High treatment satisfaction is related to improved treatment adherence and outcomes in psychotherapy research. Satisfaction with psychotherapy treatment among racially and ethnically diverse perinatal populations with post-traumatic stress (PTS) remains understudied. The aims of this study are to examine the relations between PTS symptoms, perceived social support, and race and ethnicity, and treatment satisfaction among perinatal women receiving behavioural activation (BA) psychotherapy.
Methods
This is a mixed-methods study of the Scaling Up Maternal Mental healthcare by Increasing access to Treatment (SUMMIT) trial—a large, multi-site, non-inferiority trial for perinatal women with depressive and anxiety symptoms (NCT04153864). A two-sample t-test compared baseline PTS symptoms, social support, and treatment satisfaction between participants from white and racial and ethnic minority groups. Hierarchical multiple linear regression examined whether PTS symptoms, perceived social support, race and ethnicity predicted treatment satisfaction. Content analysis of open-ended responses explored facilitators and modifications for improving treatment satisfaction across PTS symptom severity and race and ethnicity.
Results
Of 1230 women, 1119 (90.98%) had ≥ 1 BA session. Compared to their white counterparts, baseline PTS symptom severity was higher (t(1087) = − 4.98; p < 0.001; 95% CI = − 2.23, − 0.97), and social support lower (t(1087) = 8.05; p < 0.001; 95% CI = 0.43, 0.71) among racial and ethnic minority women. Lower baseline PTS symptom severity (β = − 0.009; 95% CI = − 0.016, − 0.002) and higher perceived social support (β = 0.042; 95% CI = 0.013, 0.072) were associated with higher post-treatment satisfaction across the sample. Descriptive analysis revealed no differences in treatment satisfaction across race and ethnicity; treatment satisfaction was higher for racial and ethnic minority women when social support was added to the regression model (β = 0.077; 95% CI = 0.005, 0.149). Content analysis (n = 807) revealed no differences by PTS symptoms severity or race and ethnicity across reported facilitators and modifications. BA as a treatment modality (n = 446, 55.27%) was a key facilitator; modifications included more sessions (n = 202, 25.03%).
Conclusions
PTS symptom severity and social support predict treatment satisfaction among racially and ethnically diverse perinatal populations and should be considered when delivering psychotherapy.
Trial registration
ClinicalTrials.gov NCT04153864. Registered on November 6, 2019.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12916-025-04272-y.
Keywords: Behavioural activation, Treatment satisfaction, Trauma, Social support, Race and ethnicity
Background
Treatment effectiveness is strongly related to treatment satisfaction, such that patients with higher treatment satisfaction are more likely to have higher adherence to treatment, better treatment outcomes, and a better quality of life than their less satisfied counterparts [1–3]. Individuals experiencing post-traumatic stress (PTS) symptoms are less satisfied with mental health treatment due to fears of stigma and shame while seeking mental healthcare [4]. This may be particularly true for perinatal (pregnant and up to one year postpartum) populations from racial and ethnic minority groups [5, 6], i.e. racially and ethnically underrepresented and marginalised individuals [7] who perceive accessing and engaging in mental health treatment as a negative experience due to the structural and discriminatory barriers, social stigma, trauma history, and a lack of cultural sensitivity on the part of the provider [8, 9]. In addition, these populations experience greater PTS symptom severity [5, 10], worse health outcomes, and poorer patient care [11]. As such, race and ethnicity are important determinants of health care access, as they capture broad systemic inequities in healthcare [11–13].
PTS symptoms during the perinatal period are common—approximately 8 million perinatal individuals worldwide develop post-traumatic stress disorder annually [14, 15]. Despite its frequent comorbidity with perinatal depressive and anxiety symptoms [14, 16, 17], perinatal PTS remains understudied [18–21]. Further, PTS symptoms [16, 17, 22] are associated with a high risk for adverse outcomes for both mother and child [23, 24]. Psychological treatments have been shown to be effective for comorbid PTS and depression [25–27] and outcomes may vary depending on individual differences at the start of treatment (e.g. baseline symptom severity [28–30]). Research into treatment satisfaction and its predictors (e.g. social support [3, 31]) for individuals with comorbid perinatal PTS and depression—particularly those from racial and ethnic minority groups—is important for providing insights on how to tailor treatments to enhance their efficacy and improve patient outcomes [15, 19, 32].
Behavioural activation treatment for PTS
Behavioural Activation (BA) is a brief, evidence-based psychotherapy treatment that aims to engage patients in enjoyable activities aligned with their values and life goals [33]. While typically suggested for depressive and anxiety symptoms [34–36], BA has also demonstrated promising results for treating PTS symptoms and its co-occurrence with depressive symptoms [26]. BA treatment is likely effective at relieving PTS symptoms as some sessions address avoidance, encouraging clients to re-engage in aspects of their lives that they may have circumvented due to their trauma [26]. Understanding the extent to which perinatal individuals from racial and ethnic minority groups with comorbid depressive and PTS symptoms are satisfied with their BA treatment may further speak to the generalisability of BA as a transdiagnostic [Singla DR, Berenbaum TS, Silver RK, Vigod SN, Li S, Anand A: Bridges to treatment satisfaction: the roles of trauma, social support, race and ethnicity among perinatal women receiving behavioural activation therapy, Unpublished.] and patient-centred treatment [37].
The SUMMIT trial
The current study is a secondary analysis of the Scaling Up Maternal Mental healthcare by Increasing access to Treatment (SUMMIT) trial—a large, multi-site psychotherapy trial that demonstrated the non-inferiority of task sharing and telemedicine to the gold standard approach of specialist-delivered, in-person BA for perinatal populations [38]. Specifically, the SUMMIT trial found non-inferiority between provider (non-specialist provider vs. specialist provider) and modality (telemedicine vs. in-person) of BA delivery on depressive and anxiety symptoms at 3 months post-randomisation [38], with high treatment satisfaction and low dropout rates. The term ‘telemedicine’ is used broadly amongst diverse healthcare providers delivering care virtually through secure, video-conferencing platforms. This mixed methods study combines quantitative assessments of self-reported satisfaction with qualitative insights about potential modifications and facilitators.
Specifically, this study aims to examine:
The extent to which post-treatment satisfaction, baseline PTS symptom severity, and baseline social support differ between perinatal women from white and racial and ethnic minority groups receiving BA treatment;
The extent to which baseline clinical and demographic factors such as PTS symptom severity, perceived social support, and race and ethnicity predict post-treatment satisfaction with BA; and
Emerging facilitators of and modifications for improving treatment satisfaction with BA among perinatal women with mild, moderate, and severe baseline PTS symptom scores, and across race and ethnicity.
In doing so, the overall objective is to enhance the contextual understanding of treatment satisfaction, particularly for people who are at an increased risk of depressive and/or PTS symptoms and who have historically not been effectively engaged with in treatment studies [39, 40].
Methods
Study design
This is a mixed-methods study using data from the SUMMIT trial [41]. SUMMIT aimed to assess the comparable effectiveness between two types of providers (non-specialist vs. specialists) and modalities (telemedicine vs. in-person) of a brief BA treatment for perinatal depressive and anxiety symptoms. Participants were randomised to one of four arms based on provider type (specialist (e.g. psychiatrist, psychologist) vs. non-specialist (e.g. nurse, midwife, doula)) and treatment modality (in-person vs. telemedicine). All participants received the same BA treatment of 6–8 sessions (the SUMMIT BA manual is open access and freely available on the SUMMIT website [42]). The primary findings of the SUMMIT trial demonstrated non-inferiority between providers and modality on a range of outcomes, including depressive and anxiety symptoms as well as treatment satisfaction levels [38].
Ethical approvals
The study received ethical approvals from the following three institutional review boards (IRB) for clinics in Chapel Hill, Chicago, and Toronto: University of North Carolina Biomedical IRB (19–1786); Endeavor Health IRB (EH18-129); and Clinical Trials Ontario (1895). No additional ethics approval or informed consent was required for this secondary analysis.
Study participants
Inclusion criteria for the larger SUMMIT trial included individuals who were pregnant (up to 36 weeks) or postpartum (4–30 weeks), aged ≥ 18, spoke English or (US sites) Spanish, and had an Edinburgh Postnatal Depression Scale (EPDS) [43] score of ≥ 10. Exclusion criteria included active suicidal intent, psychosis, mania, substance abuse, ongoing psychotherapy, recent psychotropic medication use, severe foetal anomalies, and stillbirth or infant death during the index pregnancy.
The current study included a subset of participants from the SUMMIT trial who received at least one BA treatment session in order to assess treatment satisfaction. The term ‘women’ is used throughout, and includes participants who identified as genderqueer/gender non-conforming, different identity, or who preferred not to answer.
Data collection
Participants were recruited from hospitals and clinics in Chapel Hill, North Carolina; Chicago, Illinois; and Toronto, Canada [41]. A trained research assistant or clinical provider introduced a potential participant to the study, and informed consent was obtained in person or remotely via the Research Electronic Data Capture (REDCap™) system. Eligible participants completed baseline measures, including demographics and clinical assessments (e.g. depressive/PTS symptoms). The data analysed for this study included assessments measured at baseline to 3 months post-randomisation.
Measures
Baseline variables included self-reported age, perinatal period (antenatal vs. postnatal), recruitment location, race and ethnicity, gender identity, marital status, education, employment status, household income, and immigration status. Race and ethnicity was categorised as ‘white’ for those identifying as white and European, and ‘racial and ethnic minority’ for those identifying with one of the following racial and ethnic groups: Asian; Black; First Nations/Aboriginal; Hawaiian/Pacific Islander; Hispanic; Middle Eastern; or Mixed race. For our main analyses, racial and ethnic minority groups were combined due to their shared experience of systemic discrimination and marginalisation [44]. Future research should explore subgroup differences to better capture the diversity within these groups.
The Edinburgh Postnatal Depression Scale (EPDS) [43] is a 10-item self-report Likert scale with summed scores ranging from 0 to 30 (0 = not at all, 3 = most of the time). The EPDS measures levels of depressive symptoms during the perinatal period, with higher scores indicating higher levels of depressive symptoms. The EPDS is a validated screening tool for use during the perinatal period [45] and has good sensitivity, specificity, and sensitivity to change [43].
PTS symptom severity was assessed using the Abbreviated PTSD Checklist (PCL-6) [46]. This is a 6-item Likert scale, with summed scores ranging from 6 to 30 (1 = ‘not at all’; 5 = ‘extremely’). The PCL-6 has been used with perinatal populations [47, 48] and has good psychometric properties [49]. We used a cut-off score of ≥ 14 to indicate a clinical threshold for PTS [46], and divided the sample into three groups based on symptom severity: mild (PCL-6: 6-13), moderate (PCL-6: 14-20), and severe (PCL-6: 21-30).
Participants’ perceptions of social support (i.e. friends, family, significant others) were assessed using the Multidimensional Scale of Perceived Social Support (MSPSS) [50]. This is a 12-item Likert scale (1 = very strongly disagree, 7 = very strongly agree) uses mean scores ranging from 1 to 7, with higher scores reflecting higher perceived social support. The questionnaire has been used in perinatal populations previously [51, 52] and has high internal reliability and validity [53, 54]. The EPDS, PCL-6 and MSPSS were completed at baseline.
Treatment satisfaction was assessed using the Client Satisfaction Questionnaire (CSQ-8) [55] at 3-months post-randomisation. The CSQ-8 is an 8-item tool with scores rated on a 4-point Likert scale (1 = low satisfaction, 4 = high satisfaction). The CSQ-8 has been used in perinatal populations previously [37] and has high internal reliability and validity across mental health settings [56, 57] and good psychometric properties with high internal consistency [55]. Two open-ended questions were added to the CSQ-8: [1] ‘What did you like about the therapy sessions?’ and [2] ‘What would you change about the therapy sessions?’.
Statistical analysis
Baseline variables were assessed by estimating means and either 95% confidence intervals (CIs) for continuous variables or frequencies for categorical variables.
A two-sample t-test was conducted to examine differences in post-treatment satisfaction (CSQ-8), baseline PTS symptom severity (PCL-6) and baseline social support (MSPSS) between the white and racialized groups. An ANOVA was conducted to compare the differences in treatment satisfaction across all racial and ethnic subgroups. Additional subgroup analyses of clinical variables were conducted to investigate potential subgroup differences (see Additional File 1: Table 4).
Using hierarchical multiple linear regression, we examined whether baseline PTS symptom severity, race and ethnicity, and perceived social support predicted post-BA treatment satisfaction. Predictors were added sequentially to assess their individual effects on post-treatment satisfaction. In Model 1, control variables were added, including age, perinatal period, education level, employment status, immigration status, provider type, delivery type, treatment dosage (i.e. number of treatment sessions), late completion of follow up assessments, and depressive symptoms. Baseline PTS symptom severity (Model 2), race and ethnicity (Model 3), and baseline perceived social support (Model 4) were added sequentially in each subsequent model. The selection of predictors (i.e. PTS, race and ethnicity, and social support) was based on previous literature (e.g. [3, 11, 13, 16, 18, 31]). The selection of covariates, including demographic (age, education, immigration status, employment status) and clinical (depressive symptoms, treatment dosage, perinatal period, provider type, treatment delivery and late completion of satisfaction survey) variables, was made because they may influence treatment satisfaction [58–61] and mitigate any potential confounders and retrospective bias. Prior to analysis, assumption checks for independence of residuals, linearity, normality, and homoscedasticity were conducted and satisfied. No influential/leverage points or multicollinearity was found. Significance was defined as p-value ≤ 0.05. Missing data were imputed using multiple imputation by an independent biostatistician who used fully conditional specification (FCS) methods in SAS Proc MI and Proc MIANALYZE. All other statistical analyses were conducted in SPSS. We used a pairwise deletion of the total eligible sample to avoid excluding those who preferred not to disclose their race and ethnicity, education level, immigration status, or employment status (n = 43; 3.8% of total sample), allowing their available data in other variables to be retained in the analyses.
Qualitative data analysis
Participants received the CSQ-8 at 3 months post-randomisation. Once participants responded to the CSQ-8 survey questions, they were asked to fill out two open-ended questions. These questions were [1] ‘What did you like about the therapy sessions?’ and [2] ‘What would you change about the therapy sessions?’. A subsample of participants who completed the CSQ-8 also responded to the two open-ended questions (n = 807, 72.12%). Answers were collated and coded inductively using Microsoft Excel. A trained research assistant conducted a content analysis of the data using previously established methodologies [62]. Themes emerged inductively, meaning that as participant responses were coded, they were subsequently organised into commonly endorsed themes. Interrater reliability was calculated using Kappa’s (κ) coefficient between two independent raters and deemed strong (κ = 0.89) [63]. Emerging facilitators (responses to Question 1) of and modifications (responses to Question 2) for improving treatment satisfaction endorsed by > 10% of the total sample were extracted and reported. Although less endorsed themes were identified, they were eventually collapsed due to low individual frequency and high conceptual overlap. As such, broader themes were reported to emphasise the most salient themes in the data. The sample was then split into three groups based on PTS symptom severity levels: mild (6-13), moderate (14-20), and severe (21-30), and further between racial and ethnic groups to examine potential descriptive differences between groups in an effort to identify specific group needs at baseline that may be intentionally incorporated throughout treatment.
Results
Between January 2020 through October 2023, N = 1119 women were enrolled, randomised, and received ≥ 1 BA session. The overall sample (N = 1119) and qualitative sub-sample (N = 807) showed similar demographic and clinical characteristics (Fig. 1; see Additional File 2: Table 5).
Fig. 1.
Participant flow chart
Baseline sociodemographic and clinical characteristics are described in Table 1. In short, participants were 33.35 years of age (95% CI 33.06–33.64), half were postpartum (n = 563, 50.31%), and almost half (n = 526, 47.01%) were from racial and ethnic minority groups (for clinical characteristics of racial and ethnic subgroups see Additional File 1: Table 4). The vast majority identified as cis-women (n = 1079, 96.43%). At baseline, participants reported moderate symptoms for both PTS (PCL-6 = 16.90, 95% CI 16.59–17.22) and depression (EPDS = 15.75, 95% CI 15.52–15.97), and high perceived social support (MSPSS = 5.31, 95% CI 5.24–5.38). They attended a mean number of 6.82 out of 8 BA sessions (95% CI 6.70–6.94) and reported high post-treatment satisfaction (CSQ-8 = 3.40 out of 4, 95% CI 3.37–3.44).
Table 1.
Baseline characteristics of participants (N = 1119), N (%) unless otherwise indicated
| Characteristic | Sample (N=1,119) |
|---|---|
| Demographic variables (baseline) | |
| Age, mean (95% CI) | 33.35 (33.06, 33.64) |
| Perinatal period at first session | |
| Pregnant | 556 (49.69) |
| Location | |
| Canada | 751 (67.11) |
| United States | 368 (32.89) |
| Race and ethnicity recategorized | |
| Racial and ethnic minority group* | 526 (47.01) |
| White | 563 (50.31) |
| Prefer not to answer | 30 (2.68) |
| Race and ethnicity by subgroup | |
| Asian | 192 (17.16) |
| Black | 113 (10.10) |
| First Nations/Aboriginal | 5 (0.45) |
| Hawaiian/Pacific Islander | 4 (0.36) |
| Hispanic | 93 (8.31) |
| Middle Eastern | 30 (2.68) |
| Mixed-race | 89 (7.95) |
| White and European | 563 (50.31) |
| Prefer not to answer | 30 (2.68) |
| Gender identity | |
| Female | 1079 (96.43) |
| Genderqueer/Gender non-conforming | 2 (0.18) |
| Different identity | 1 (0.09) |
| Prefer not to answer | 1 (0.09) |
| Marital status | |
| Married or stable relationship | 966 (86.33) |
| Single | 139 (12.42) |
| Prefer not to answer | 14 (1.25) |
| Education | |
| University (graduate and undergraduate) | 799 (71.40) |
| College/Trade school | 186 (16.62) |
| Highschool and below | 125 (11.17) |
| Prefer not to answer | 9 (0.80) |
| Employment | |
| Employed | 565 (50.49) |
| Unemployed | 552 (49.33) |
| Missing | 2 (0.18) |
| Household income (based on postal code) | |
| $0-$39,999 | 307 (27.44) |
| $40,000-$79,999 | 640 (57.19) |
| $80,000+ | 92 (8.22) |
| Prefer not to answer | 80 (7.15) |
| Immigration status (born in country of residence) | |
| Yes | 779 (69.62) |
| No | 334 (29.85) |
| Prefer not to answer | 6 (0.54) |
| Provider type (specialist/non-specialist) | |
| Specialist | 566 (50.58) |
| Delivery type (in-person/telemedicine) | |
| In-person | 232 (20.73) |
| Clinical variables (baseline), mean (95% CI) | |
| Post-traumatic stress symptoms, PCL-6a | 16.90 (16.59, 17.22) |
| Depression symptoms, EPDSb | 15.75 (15.52, 15.97) |
| Perceived social support, MSPSSc | 5.31 (5.24, 5.38) |
| Process variables (post-treatment), mean (95% CI) | |
| Treatment Satisfaction at 3-months post-treatment, CSQ-8d | 3.40 (3.37, 3.44) |
| Treatment dosage (no. of completed sessions) | 6. 82 (6.70, 6.94) |
| Late completion of 3-month questionnaire, n(%) | 6 (0.54) |
*Racial and ethnic minority groups= Asian, Black, First Nations/Aboriginal, Hawaiian/Pacific Islander, Hispanic, Middle Eastern and Mixed race
aAbbreviated PTSD Checklist-6, scored from 6-30
bEdinburgh Postnatal Depression Scale, scored from 0-30
cMultidimensional Scale of Perceived Social Support, scored from 1-7
dClient Satisfaction Questionnaire, scored from 0-4
Treatment satisfaction, PTS and social support across racial and ethnic groups
Compared to their white counterparts, racial and ethnic minority women reported statistically significantly higher baseline PTS symptom severity scores (PCL-6 = 16.13 (95% CI 15.72–16.54) vs. 17.73 (95% CI 17.25–18.21), t(1087) = − 4.98, p < 0.001, 95% CI = − 2.23, − 0.97) and statistically lower social support scores (MSPSS = 5.59 (95% CI 5.50–5.67) vs. 5.01 (95% CI 4.90–5.13), t = 8.05(1087), p < 0.001, 95% CI = 0.43, 0.71). Post-treatment satisfaction scores were similarly high between the white and racial and ethnic minority women (CSQ = 3.39 (95% CI 3.34–3.44) vs. 3.42 (95% CI 3.37–3.47); t(1087) = − 0.79, p = 0.43, 95% CI = − 0.10, 0.04) (see Fig. 2A) and there were no differences within racial and ethnic subgroups (F(8, 1110) = 1.18, p = 0.31) (see Fig. 2B).
Fig. 2.
Post-treatment satisfaction scores (CSQ-8) across racial and ethnic groups (N = 1119). A Racial and ethnic minority groups and white group. B Race and ethnicity subgroups
Predictors of treatment satisfaction
Model 1
In the first model, we examined the control variables (age, perinatal period, education level, employment status, immigration status, provider type, delivery type, treatment dosage, late completion of follow-up assessments and depressive symptoms). We found that higher educational attainment (β = − 0.05, t = − 2.64, p = 0.08) and more BA sessions attended (β = − 0.13, t = 15.75, p < 0.001) were significant predictors of post-treatment satisfaction. The overall model was statistically significant, F(10, 1072) = 25.58, p < 0.001, and accounted for 18.5% of the variance in post-treatment satisfaction.
Model 2
In the second model, we added PTS symptom severity to model 1. We found that lower baseline PTS symptom severity significantly predicted higher post-treatment satisfaction scores (β = − 0.01, t = − 2.80, p = 0.05). The overall model was statistically significant, F(11, 1071) = 24.12, p < 0.001, and accounted for 19% of the variance in post-treatment satisfaction.
Model 3
In the third model, we added race and ethnicity to model 2, but race and ethnicity did not significantly predict post-treatment satisfaction (β = 0.06, t = 1.66, p = 0.10). The overall model was statistically significant, F(12, 1070) = 22.30, p < 0.001, and accounted for 19.2% of the variance in post-treatment satisfaction.
Model 4
In our final model, we added perceived social support at baseline to model 3. We found that perceived social support at baseline positively predicted post-treatment satisfaction (β = 0.04, t = 2.84, p = 0.05). Race and ethnicity significantly predicted treatment satisfaction (β = 0.08, t = 2.10, p = 0.04) such that racial and ethnic minority women had higher post-treatment satisfaction scores than white women. Similar to the previous models, lower baseline PTS symptom severity (β = − 0.01, t = − 2.48, p = 0.01), higher education levels (β = − 0.06, t = − 3.06, p = 0.002) and higher number of attended sessions (β = 0.13, t = 15.61, p < 0.001) remained significant predictors of treatment satisfaction. The overall model was statistically significant, F(13, 1069) = 21.41, p < 0.001, accounting for 19.7% of the variance in post-treatment satisfaction.
For a summary of all four models see Table 2.
Table 2.
Hierarchical multiple linear regression predicting treatment satisfaction (N = 1119)
| Treatment satisfaction | Model 1 Covariates only |
Model 2 (M1 + PTS symptoms) |
Model 3 (M2 + race and ethnicity) |
Model 4 (M3 + social support) |
|---|---|---|---|---|
| β (95% CI) | β (95% CI) | β (95% CI) | β (95% CI) | |
| Constant | 2.832 (2.533, 3.132)*** | 2.952 (2.641, 3.262)*** | 2.887 (2.567, 3.206)*** | 2.623 (2.256, 2.989)*** |
| Age | − 0.002 (− 0.009, 0.006) | − 0.002 (− 0.009, 0.005) | − 0.002 (− 0.009, 0.005) | − 0.001 (− 0.008, 0.006) |
| Perinatal period at baseline (Postpartum) | 0.008 (− 0.064, 0.081) | 0.000 (− 0.072, 0.073) | 0.001 (− 0.071, 0.074) | 0.003 (− 0.069, 0.075) |
| Higher education | − 0.047 (− 0.082, − 0.012)** | − 0.052 (− 0.087, − 0.017)** | − 0.049 (− 0.084, − 0.014)** | − 0.055 (− 0.091, − 0.020)** |
| Employed | −.051 (− 0.023, 0.125) | 0.040 (− 0.035, −.114) | 0.044 (− 0.031, 0.118) | 0.041 (− 0.033, 0.116) |
| Birthplace (resident) | − 0.024 (− 0.096, 0.049) | − 0.031 (− 0.104, 0.041) | − 0.008 (− 0.085, 0.069) | − 0.014 (− 0.091, 0.064) |
| Provider (specialist) | 0.028 (− 0.037, 0.094) | 0.028 (− 0.038, 0.093) | 0.027 (− 0.038, 0.092) | 0.025 (− 0.040, 0.090) |
| Treatment delivery (in-person) | 0.035 (− 0.047, 0.117) | 0.030 (− 0.051, 0.112) | 0.028 (− 0.053, 0.110) | 0.020 (− 0.062, 0.101) |
| Treatment dosage | 0.130 (0.113, 0.146)*** | 0.129 (0.113, 0.146)*** | 0.130 (0.114, 0.146)*** | 0.128 (0.112, 0.144)*** |
| Late completion | 0.087 (− 0.361, 0.534) | 0.068 (− 0.378, 0.514) | 0.067 (− 0.378, 0.513) | 0.046 (− 0.391, 0.484) |
| Depression symptomsa | − 0.007 (− 0.016, 0.002) | 0.000 (− 0.010, 0.010) | 0.000 (− 0.010, 0.009) | 0.001 (− 0.008, 0.011) |
| PTS symptomsa | - | − 0.010 (− 0.017, − 0.003)** | − 0.011 (− 0.018, − 0.003)** | − 0.009 (− 0.016, − 0.002) ** |
| Race and ethnicity (racial and ethnic minority group) | - | - | 0.060 (− 0.011, 0.131) | 0.077 (0.005, 0.149)** |
| Perceived social supporta | - | - | - | 0.042 (0.013, 0.072)** |
| Model fit |
R2 =.193 R2adjusted =.185*** |
R2 =.199 R2adjusted =.190*** |
R2 =.201 R2adjusted =.192 |
R2 =.207 R2adjusted =.197*** |
Model = ‘Enter’ method in SPSS
abaseline measure; β, unstandardised regression coefficient; CI, confidence interval; R2, coefficient of determination; R2adjusted, adjusted R2; PTS, post-traumatic stress; M1, Model 1; M2, Model 2; M3, Model 3
*p < 0.05. **p < 0.01. ***p < 0.001
Facilitators of and modifications for improving treatment satisfaction
For a summary of facilitators and modifications across PTS symptom severity groups and across race and ethnicity in the mild and severe PTS groups see Table 3. Some participants did not report any facilitators (n = 61, 7.56%) or modifications (n = 272, 33.71%) for improving treatment satisfaction. The most endorsed facilitators and desired modifications are detailed below.
Table 3.
Reported facilitators and modifications for improving treatment satisfaction across post-traumatic symptom severity and race and ethnicity
| Responses n(%) | All | Mild (PCL-6: 6-13)* | Moderate (PCL-6: 14-20) | Severe (PCL-6: 21-30)* | ||||
|---|---|---|---|---|---|---|---|---|
|
Total (N = 807) |
Racial and ethnic minority (n = 94) |
White (n = 119) |
Total (N = 219) |
Total (N = 378) |
Racial and ethnic minority (n = 110) |
White (n = 95) |
Total (N = 210) |
|
| Facilitators | ||||||||
| (1) BA as a treatment modality | 446 (55.27) | 45 (47.87) | 70 (58.82) | 118 (53.88) | 224 (59.26) | 44 (40.00) | 60 (63.16) | 104 (49.52) |
| (2) Treatment provider | 381 (47.21) | 49 (52.13) | 57 (47.90) | 110 (50.23) | 175 (46.30) | 44 (40.00) | 50 (52.63) | 96 (45.71) |
| (3) Individual talk therapy | 174 (21.56) | 18 (19.15) | 25 (21.01) | 45 (20.55) | 75 (19.84) | 28 (25.45) | 25 (26.32) | 54 (25.71) |
| No facilitators reported | 61 (7.56) | 8 (8.51) | 10 (8.40) | 18 (8.22) | 20 (5.29) | 20 (18.18) | 2 (2.11) | 23 (10.95) |
| Suggested modifications | ||||||||
| (1) More sessions | 202 (25.03) | 12 (12.77) | 19 (15.97) | 32 (14.61) | 105 (27.78) | 34 (30.91) | 31 (32.63) | 65 (30.95) |
| (2) Flexibility with scheduling sessions | 111 (13.75) | 15 (15.96) | 17 (14.29) | 33 (15.07) | 54 (14.29) | 15 (13.64) | 7 (7.37) | 24 (11.43) |
| No modifications suggested | 272 (33.71) | 47 (50.00) | 39 (32.77) | 89 (40.64) | 107 (28.31) | 42 (38.18) | 32 (33.68) | 76 (36.19) |
BA behavioural activation
*Mild and severe groups were further separated by race and ethnicity to distinctly explore differences on each side of the spectrum
Facilitator 1: BA as a treatment modality
The most commonly endorsed facilitator of treatment satisfaction was BA as a treatment modality (n = 446, 55.27%). Participants expressed appreciation for various aspects of BA, including its content, tools, structure, and activities. Participants also reported specific benefits, such as motivation towards action, enhanced self-accountability, the acquisition of new strategies and perspectives to help themselves, and general emotional benefits. This facilitator was highly endorsed among both white and racial and ethnic minority women; however, this facilitator was more commonly endorsed by white women in the mild (white: n = 70, 58.82%, racial and ethnic minority: n = 45, 47.87%) and severe PTS groups (white: n = 60, 63.16%, racial and ethnic minority: n = 44, 40%).
"Activities were practical with [my] current home life situation. Some of the prompts like implementing values in everyday life, encouraged me to take control of my activities and helped me feel better."(201_severe PTS_racial and ethnic minority)
Facilitator 2: treatment provider
The second most commonly endorsed facilitator of treatment satisfaction was the treatment provider (n = 381, 47.21%). Participants expressed general appreciation for their treatment provider or commended their provider’s interpersonal skills, patient-centredness, knowledge, and cultural sensitivity. Variation in endorsement was found in the severe PTS group (white: n = 50, 52.63%, racial and ethnic minority: n = 44, 40%).
"[Treatment provider] was warm, accessible, and insightful...For me, the most effective part of the therapy was talking to [provider’s name] and doing check-ins." (630_severe PTS_ racial and ethnic minority)
"I liked that the provider seemed to work from an anti-discrimination and anti-racist perspective [...] was very evident in the manner the provider spoke. As a person of colour [POC] that is what really allowed me to buy into the treatment." (383_severe PTS_ racial and ethnic minority)
Facilitator 3: features of individual talk therapy
The third most commonly endorsed facilitator of treatment satisfaction was general elements of individual talk therapy (n = 174, 21.56%). Participants like regular, 1:1 sessions with someone to talk to in a non-judgmental and unbiased capacity. There were no group differences in the endorsement in this facilitator.
"Having a regular check-in/touchpoint where I focused on me and how I was feeling [...] It really hit home that simply drawing awareness to what I was doing helped to pinpoint when I felt good and when I didn’t." (329_moderate PTS_ racial and ethnic minority)
Suggested modification 1: more sessions
The most endorsed suggested modification across participants was the desire for more sessions (n = 202, 25.03%). Participants suggested more or longer sessions, follow-up sessions, the ability to continue with their treatment provider, and to be referred to more specialist care or given other resources after their last session. Irrespective of race and ethnicity, this suggested modification was most commonly endorsed by the moderate (n = 105, 27.78%) and severe (n = 65, 30.95%) PTS groups, with the lowest endorsement rates in the mild PTS group (n = 32, 14.61%).
"I would like more time, the 8 weeks seemed too short and I was really feeling like I was starting to get somewhere [...]" (081_severe PTS_ racial and ethnic minority)
Suggested modification 2: flexibility with scheduling sessions
The second most endorsed modification was increased flexibility in scheduling sessions (n = 111, 13.75%). Some participants noted difficulty of a fixed timeslot and location when motherhood is unpredictable. This suggested modification was endorsed similarly across all groups.
"Having more flexibility for session days. I often had to reschedule and the therapist was limited by [their] set days." (391_mild PTS_white)
Discussion
In this mixed-methods secondary analysis of the SUMMIT trial, we examined: (1) differences in post-treatment satisfaction, baseline PTS symptom severity and perceived social support among white and racial and ethnic minority women; (2) whether baseline PTS symptom severity, perceived social support and race and ethnicity, predict post-treatment satisfaction; and (3) suggested facilitators of and modifications for brief, BA psychotherapy. By integrating quantitative and qualitative findings, we aimed to provide a nuanced and holistic understanding of treatment satisfaction among a racially and ethnically diverse sample of perinatal women. The results of this study are explored in relation to the wider literature below.
Post-traumatic stress (PTS) and treatment satisfaction
As demonstrated by others [59, 64], higher PTS symptom severity scores at baseline were negatively correlated with post-treatment satisfaction scores, even when controlling for comorbid depressive symptoms. Given the high comorbidity of PTS symptoms with depression [4–6], this finding illustrates the role of PTS symptom severity as a predictor of BA satisfaction. Additionally, we found that other variables such as race and ethnicity, baseline perceived social support, education level, and treatment dosage were also significant predictors of post-treatment satisfaction alongside PTS symptom severity. Taken together, these findings emphasise the importance of PTS symptom severity while also recognising the complex interplay and diverse range of factors such as perceived social support that can impact treatment satisfaction. We recommend healthcare providers screen for PTS symptoms concurrently with depressive or anxiety symptoms irrespective of their clinical severity on these scales given their high comorbidity. PTS symptom scores of 14 [49] or above may suggest the need to focus treatment on addressing trauma first given its predictive ability in treatment satisfaction. Future studies should investigate whether these findings are similar for other treatment modalities and clinical populations beyond BA and perinatal populations with comorbid PTS and depressive symptoms.
The importance of social support
Similar to others [3, 31, 65], we also found perinatal participants with higher levels of perceived social support at baseline had higher satisfaction scores. Importantly, in low and middle-income countries, perceived support from one’s significant other, extended family, and community members has been shown as a consistent mediator of brief psychological treatments in improving mental health outcomes among perinatal populations [66, 67]. Thus, perceived social support may serve as either a protective or risk factor for perinatal populations. Further research should study how to bolster perceived support in psychological treatments, including the potential inclusion of significant others [9] to allow for more family-centred care beyond the inclusion of mother and child alone.
Potentially related to social support is the therapeutic relationship between the participant and provider [68], which was highlighted as the second most endorsed facilitator of participants’ experience with treatment irrespective of treatment provider. Specifically, women reported that non-specific therapy skills such as their treatment provider’s ability to create a safe and supportive environment facilitated their satisfaction with treatment. Skar-Fröding and colleagues [3] showed that those who felt well supported by mental health staff on their personal recovery journeys were also more satisfied with treatment. As such, a good therapeutic alliance may facilitate treatment satisfaction [11, 69–71]. Collectively, these mixed-method findings illustrate the multifaceted layers of social support and suggest that increased support from friends, family, or their healthcare provider influences a participant’s experience and satisfaction with psychotherapy.
High treatment satisfaction scores among racial and ethnic minority women
Interestingly, we found that women from racial and ethnic minority groups were more likely to be satisfied with treatment than women who identified as white when baseline perceived social support was added to the model. This was an unexpected finding given the well-documented healthcare disparities experienced by individuals from racial and ethnic minority groups as a result of systemic racism and discrimination. Specifically, previous studies have demonstrated that these inequities contribute to more negative experiences accessing and engaging in mental health treatment [15, 16, 72], a reduced likelihood of receiving adequate mental healthcare [73, 74] and an increased treatment dropout [75, 76] all of which are suggestive of low treatment satisfaction. While there was a statistically significant difference in baseline PTS symptoms between white and racial and ethnic minority women, this difference did not exceed the minimal clinically important difference established for the PCL-6 [49], suggesting that baseline PTS symptoms alone does not fully explain the observed differences in treatment satisfaction. A plausible explanation for our finding is the culturally sensitive psychotherapy provided in the SUMMIT trial [37]—defined as the willingness and ability to adapt an interpersonal stance that is curious, patient-centred and culturally-aware [77, 78]. In the SUMMIT trial, this means that topics regarding race, ethnicity and culture were explicitly addressed during treatment and supervision through the lens of cultural humility, cultural comfort and cultural opportunities [37]. It is possible that SUMMIT provided the needed perceived support and a satisfying therapeutic experience for women from racial and ethnic minority backgrounds, who typically face systemic barriers and inequities in access to psychotherapy [15, 16, 79], compared to their white counterparts. Furthermore, the qualitative analyses showed that 'BA as a treatment modality' and 'features of individual talk therapy' were commonly endorsed as a facilitator across both racial and ethnic groups, as was the desire for more sessions. These qualitative findings suggest that the BA intervention was perceived as therapeutic and helpful, irrespective of the participant’s race and ethnicity. For additional details related to the culturally-sensitive care offered in the SUMMIT trial, please refer to published manuscripts [37] and [80].
Strengths and limitations
To our knowledge, this is among the first examinations of PTS symptom severity, perceived social support, race and ethnicity, and treatment satisfaction in perinatal women. Strengths of this study include a large, geographically and racially diverse sample, high treatment satisfaction rates, and the use of open-ended qualitative data to better understand the experience of receiving therapy. Despite the strengths of the current study, there are also some limitations. First, large differences in sample sizes did not permit sufficiently powered analyses between certain racial and ethnic groups [81]. Thus, information regarding intergroup differences may be missing, resulting in less specificity. Despite this, it was imperative to include all racial and ethnic subgroups irrespective of sample size to avoid reinforcing systematic patterns of exclusion in research [82]. Furthermore, the grouping is theoretically relevant to the study in describing general racialised experiences, and although the sample sizes are regionally representative, future studies may wish to compare various racial and ethnic groups (see Additional File 1: Table 4). Second, we chose the 6-item PCL-6 as our measure of PTS symptoms in an effort to be patient-centred given the scale’s brevity, in contrast to the twenty-item PCL-5 [83]. However, the PCL-5 is the most used DSM-5-based iteration of the PCL scales; thus, our results may not be generalisable to studies using the PCL-5. Third, qualitative results were collected using two optional open-ended questions. In future, data could be obtained systematically through semi-structured interviews.
Conclusions
Overall, our study highlights the role of diverse factors such as PTS symptom severity, perceived social support, race and ethnicity, and the treatment and its provider in influencing satisfaction with BA treatment among perinatal women with comorbid depressive and PTS symptoms. In addition, our results suggest that brief psychotherapies, such as BA, can be delivered and received from a culturally-sensitive lens. By considering these factors, we can enhance the patient-centredness and effectiveness of psychotherapies for perinatal populations globally.
Supplementary Information
Additional File 1: Table 4. Clinical characteristics by race and ethnicity subgroups including means, 95% confidence intervals, and comparison statistics using an ANOVA, including Welch’s ANOVA and post-hoc comparisons. Clinical characteristics assessed in this table include: Age, post-traumatic stress symptoms, depression symptoms, perceived social support, treatment satisfaction at 3-months, and treatment dosage. The racial and ethnic subgroups include: Asian, Black, First Nation/Aboriginal, Hawaiian/Pacific Islander, Hispanic, Middle eastern, Mixed Race, White, and Prefer not to answer
Additional File 2: Table 5. Baseline characteristicsof the overall sample and the qualitative sub-sample
Acknowledgements
We are grateful to all the participants, clinicians and advisors who contributed to the SUMMIT trial. We are also grateful to Dr. Alex Kiss for his consultation about the quantitative analyses of this manuscript.
Abbreviations
- BA
Behavioural activation
- CIs
Confidence intervals
- CSQ-8
Client Satisfaction Questionnaire
- EPDS
Edinburgh Postnatal Depression Scale
- FCS
Fully conditional specification
- IRB
Institutional Review Boards
- MSPSS
Multidimensional Scale of Perceived Social Support
- PCL-6
Abbreviated PTSD checklist
- PTS
Post-traumatic stress
- SUMMIT
Scaling Up Maternal Mental healthcare by Increasing access to Treatment
Authors’ contributions
M.Z. and D.R.S. led the original conception and design of the research. M.Z. undertook the quantitative and qualitative analyses under the supervision of D.R.S. and N.A. respectively. D.R.S. and A.S.L. provided M.Z. with guidance during the original conception of the research, interpretation of the results and in the drafting of this manuscript. A.M.S., S.N.V. and K.W. informed the methods section for rigor, clarity and robustness. S.M.-B. revised and enhanced the discussion section for insightfulness. S.N.V., C.-L.D. and R.S. undertook restructuring the introduction and discussion section. All authors contributed to the drafting of this manuscript. All authors read and reviewed the final manuscript.
Funding
This study is funded as a Pragmatic Clinical Study (PCS) by the Patient-Centered Outcomes Research Institute (PCORI), PCS-2018C1-10621. The funder was not involved in the design of the study and is not involved in the collection, analysis, and interpretation of data, nor in writing the current manuscript.
Data availability
Two years after publication, all individual participant de-identified data and analytic code will be shared with researchers who submit a methodologically sound proposal to: summittrial@sinaihealth.ca. Data will be available indefinitely.
Declarations
Ethics approval and consent to participate
The study received ethical approvals from the following three institutional review boards (IRB) for clinics in Chapel Hill, Chicago, and Toronto: University of North Carolina Biomedical IRB (19–1786); Endeavor Health IRB (EH18-129); and Clinical Trials Ontario (1895). No additional ethics approval or informed consent was required for this secondary analysis.
Consent for publication
Not applicable.
Competing interests
S.M.-B. receives research funding to UNC for clinical trials sponsored by Sage Therapeutics, Electromedical Products International, and Sirtsei Pharmaceuticals for clinical trials. She serves as a clinical advisor and professional corporation owner for Modern Health, a digital health company. She also serves as a scientific advisor to EmbarkNeuro and Seaport Therapeutics. S.N.V. reports royalties from UptoDate Inc. for authorship of materials on depression and pregnancy.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Andrea S. Lawson and Daisy R. Singla contributed equally to this work.
References
- 1.Priebe S, Miglietta E. Assessment and determinants of patient satisfaction with mental health care. World Psychiatry. 2019;18(1):30–1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Shipley K, Hilborn B, Hansell A, Tyrer J, Tyrer P. Patient satisfaction: a valid index of quality of care in a psychiatric service. Acta Psychiatr Scand. 2000;101(4):330–3. [PubMed] [Google Scholar]
- 3.Skar-Fröding R, Clausen HK, Šaltytė Benth J, Ruud T, Slade M, Sverdvik HK. Relationship between satisfaction with mental health services, personal recovery and quality of life among service users with psychosis: a cross-sectional study. BMC Health Serv Res. 2021;21(1):439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Perera E, Chou S, Cousins N, Mota N, Reynolds K. Women’s experiences of trauma, the psychosocial impact and health service needs during the perinatal period. BMC Pregnancy Childbirth. 2023;23(1): 197. [DOI] [PMC free article] [PubMed]
- 5.Schreier HM, Enlow MB, Ritz T, Coull BA, Gennings C, Wright RO, et al. Lifetime exposure to traumatic and other stressful life events and hair cortisol in a multi-racial/ethnic sample of pregnant women. Stress. 2016;19(1):45–52. [DOI] [PMC free article] [PubMed]
- 6.Thomas JL, Carter SE, Dunkel Schetter C, Sumner JA. Racial and ethnic disparities in posttraumatic psychopathology among postpartum women. J Psychiatr Res. 2021;137:36–40. [DOI] [PMC free article] [PubMed]
- 7.JAMA Network. Inclusive Language for Reporting Demographic and Clinical Characteristics. 2024. https://jamanetwork.com/pages/inclusive-language. Accessed 2025 Jan 20.
- 8.Iturralde E, Hsiao CA, Nkemere L, Kubo A, Sterling SA, Flanagan T, et al. Engagement in perinatal depression treatment: a qualitative study of barriers across and within racial/ethnic groups. BMC Pregnancy Childbirth. 2021;21(1):512. [DOI] [PMC free article] [PubMed]
- 9.Watson H, Harrop D, Walton E, Young A, Soltani H. A systematic review of ethnic minority women’s experiences of perinatal mental health conditions and services in Europe. PLoS One. 2019;14(1): e0210587. [DOI] [PMC free article] [PubMed]
- 10.Hatch SL, Dohrenwend BP. Distribution of traumatic and other stressful life events by race/ethnicity, gender, SES and age: a review of the research. Am J Community Psychol. 2007;40(3–4):313–32. [DOI] [PubMed]
- 11.Macias-Konstantopoulos WL, Collins KA, Diaz R, Duber HC, Edwards CD, Hsu AP, et al. Race, healthcare, and health disparities: a critical review and recommendations for advancing health equity. West J Emerg Med. 2023;24(5):906–18. [DOI] [PMC free article] [PubMed]
- 12.Cénat JM. Complex racial trauma: evidence, theory, assessment, and treatment. Perspect Psychol Sci. 2023;18(3):675–87. [DOI] [PMC free article] [PubMed]
- 13.Yu YL. Disparities by race/ethnicity and immigration status in perceived importance of and access to culturally competent health care in the United States. J Racial Ethn Health Disparities. 2024;11(3):1829–41. [DOI] [PubMed]
- 14.Yildiz PD, Ayers S, Phillips L. The prevalence of posttraumatic stress disorder in pregnancy and after birth: a systematic review and meta-analysis. J Affect Disord. 2017;208:634–45. [DOI] [PubMed]
- 15.World Health Organization (WHO). Maternal Health. https://www.who.int/health-topics/maternal-health#tab=tab_2. Accessed 2025 Jan 14.
- 16.Agius A, Xuereb RB, Carrick-Sen D, Sultana R, Rankin J. The co-existence of depression, anxiety and post-traumatic stress symptoms in the perinatal period: a systematic review. Midwifery. 2016;36:70–9. [DOI] [PubMed]
- 17.Grote NK, Katon WJ, Russo JE, Lohr MJ, Curran M, Galvin E, et al. A randomized trial of collaborative care for perinatal depression in socioeconomically disadvantaged women: the impact of comorbid posttraumatic stress disorder. J Clin Psychiatry. 2016;77(11): 21272. [DOI] [PubMed]
- 18.Baas MAM, van Pampus MG, Braam L, Stramrood CAI, de Jongh A. The effects of PTSD treatment during pregnancy: systematic review and case study. Eur J Psychotraumatol. 2020;11(1): 1762310. [DOI] [PMC free article] [PubMed]
- 19.Nillni YI, Mehralizade A, Mayer L, Milanovic S. Treatment of depression, anxiety, and trauma-related disorders during the perinatal period: a systematic review. Clin Psychol Rev. 2018;66:136–48. [DOI] [PMC free article] [PubMed]
- 20.Singla DR. Expanding the reach and scalability of perinatal mental health interventions. Nat Med. 2024;30(3):638–9. [DOI] [PubMed]
- 21.Stevens NR, Miller ML, Puetz AK, Padin AC, Adams N, Meyer DJ. Psychological intervention and treatment for posttraumatic stress disorder during pregnancy: a systematic review and call to action. J Trauma Stress. 2021;34(3):575–85. [DOI] [PubMed]
- 22.Seng JS, Rauch SA, Resnick H, Reed CD, King A, Low LK, et al. Exploring posttraumatic stress disorder symptom profile among pregnant women. J Psychosom Obstet Gynaecol. 2010;31(3):176–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.O’Hara MW, Wisner KL. Perinatal mental illness: definition, description and aetiology. Best Pract Res Clin Obstet Gynaecol. 2014;28(1):3–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Cook N, Ayers S, Horsch A. Maternal posttraumatic stress disorder during the perinatal period and child outcomes: a systematic review. J Affect Disord. 2018;225:18–31. [DOI] [PubMed] [Google Scholar]
- 25.Li X, Laplante DP, Paquin V, Lafortune S, Elgbeili G, King S. Effectiveness of cognitive behavioral therapy for perinatal maternal depression, anxiety and stress: a systematic review and meta-analysis of randomized controlled trials. Clin Psychol Rev. 2022;92: 102129. [DOI] [PubMed] [Google Scholar]
- 26.Etherton JL, Farley R. Behavioral activation for PTSD: a meta-analysis. Psychol Trauma. 2022;14(5):894–901. [DOI] [PubMed] [Google Scholar]
- 27.Coventry PA, Meader N, Melton H, Temple M, Dale H, Wright K, et al. Psychological and pharmacological interventions for posttraumatic stress disorder and comorbid mental health problems following complex traumatic events: systematic review and component network meta-analysis. PLoS Med. 2020;17(8):e1003262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Waqas A, Sikander S, Malik A, Atif N, Rahman A. Optimizing psychotherapies for perinatal depressive symptom dimensions by strengthening social support networks: an exploratory mediation analysis approach. Cambridge Prisms: Global Mental Health. 2024;11: e91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Freeman MP, Davis MF. Supportive psychotherapy for perinatal depression: preliminary data for adherence and response. Depress Anxiety. 2010;27(1):39–45. [DOI] [PubMed] [Google Scholar]
- 30.Mitchell S, Mitchell R, Shannon C, Dorahy M, Hanna D. Effects of baseline psychological symptom severity on dropout from trauma-focused cognitive behavior therapy for posttraumatic stress disorder: a meta-analysis. Traumatology. 2023;29(2):112–24. [Google Scholar]
- 31.Kay TL, Moulson MC, Vigod SN, Schoueri-Mychasiw N, Singla DR. The role of social support in perinatal mental health and psychosocial stimulation. Yale J Biol Med. 2024;97(1):3–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Pilav S, De Backer K, Easter A, Silverio SA, Sundaresh S, Roberts S, et al. A qualitative study of minority ethnic women’s experiences of access to and engagement with perinatal mental health care. BMC Pregnancy Childbirth. 2022;22(1): 421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Kanter JW, Manos RC, Bowe WM, Baruch DE, Busch AM, Rusch LC. What is behavioral activation? A review of the empirical literature. Clin Psychol Rev. 2010;30(6):608–20. [DOI] [PubMed] [Google Scholar]
- 34.Dimidjian S, Goodman SH, Sherwood NE, Simon GE, Ludman E, Gallop R, et al. A pragmatic randomized clinical trial of behavioral activation for depressed pregnant women. J Consult Clin Psychol. 2017;85(1):26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Fuhr DC, Weobong B, Lazarus A, Vanobberghen F, Weiss HA, Singla DR, et al. Delivering the thinking healthy programme for perinatal depression through peers: an individually randomised controlled trial in India. Lancet Psychiatry. 2019;6(2):115–27. [DOI] [PubMed] [Google Scholar]
- 36.Cuijpers P, Karyotaki E. The effects of psychological treatment of perinatal depression: an overview. Arch Womens Ment Health. 2021;24(5):801–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Singla DR, Hossain S, Andrejek N, Cohen MJ, Dennis C-L, Kim J, et al. Culturally sensitive psychotherapy for perinatal women: a mixed methods study. J Consult Clin Psychol. 2022;90(10):770–86. [DOI] [PubMed] [Google Scholar]
- 38.Singla DR, Silver RK, Vigod SN, Schoueri-Mychasiw N, Kim JJ, La Porte LM, et al. Task-sharing and telemedicine delivery of psychotherapy to treat perinatal depression: a pragmatic, noninferiority randomized trial. Nat Med. 2025;31(4):1214–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Evans-Lacko S, Jarrett M, McCrone P, Thornicroft G. Facilitators and barriers to implementing clinical care pathways. BMC Health Serv Res. 2010;10:182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Lund T. Combining qualitative and quantitative approaches: some arguments for mixed methods research. Scand J Educ Res. 2012;56(2):155–65. [Google Scholar]
- 41.Singla DR, Meltzer-Brody SE, Silver RK, Vigod SN, Kim JJ, La Porte LM, et al. Scaling up maternal mental healthcare by increasing access to treatment (SUMMIT) through non-specialist providers and telemedicine: a study protocol for a non-inferiority randomized controlled trial. Trials. 2021;22(1): 186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.The SUMMIT Trial Website. Home. www.thesummittrial.com. Accessed 2025 Feb 20.
- 43.Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry. 1987;150(6):782–6. [DOI] [PubMed] [Google Scholar]
- 44.Buchanan NT, Perez M, Prinstein MJ, Thurston IB. Upending racism in psychological science: strategies to change how science is conducted, reported, reviewed, and disseminated. Am Psychol. 2021;76(7):1097–112. [DOI] [PubMed] [Google Scholar]
- 45.Flynn HA, Sexton M, Ratliff S, Porter K, Zivin K. Comparative performance of the Edinburgh Postnatal Depression Scale and the Patient Health Questionnaire-9 in pregnant and postpartum women seeking psychiatric services. Psychiatry Res. 2011;187(1–2):130–4. [DOI] [PubMed] [Google Scholar]
- 46.Lang AJ, Stein MB. An abbreviated PTSD checklist for use as a screening instrument in primary care. Behav Res Ther. 2005;43(5):585–94. [DOI] [PubMed] [Google Scholar]
- 47.Grekin R, Thomas EBK, Miller ML, O’Hara MW. The role of prenatal posttraumatic stress symptoms among trauma exposed women in predicting postpartum depression. Stress Health. 2022;38(3):610–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Roch KL, Lasater M, Woldeyes G, Solomon-Osborne A, Phan X, Bizouerne C, et al. Improving maternal mental health through postnatal services use for South Sudanese mothers and their babies living in Nguenyyiel refugee camp in Gambella, Ethiopia. Eur Psychiatry. 2021;64(Suppl 1):S127. [Google Scholar]
- 49.Lang AJ, Wilkins K, Roy-Byrne PP, Golinelli D, Chavira D, Sherbourne C, et al. Abbreviated PTSD checklist (PCL) as a guide to clinical response. Gen Hosp Psychiatry. 2012;34(4):332–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988;52(1):30–41. [DOI] [PubMed] [Google Scholar]
- 51.Hagaman A, LeMasters K, Zivich PN, Sikander S, Bates LM, Bhalotra S, et al. Longitudinal effects of perinatal social support on maternal depression: a marginal structural modelling approach. J Epidemiol Community Health. 2021;75(10):936–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Paddy A, Asamoah-Gyimah K, Nkyi A. Psychosocial determinants of postpartum depression and maternal well-being among postnatal women. Open J Psychiatry. 2021;11(3):138–59. [Google Scholar]
- 53.Dahlem NW, Zimet GD, Walker RR. The multidimensional scale of perceived social support: a confirmation study. J Clin Psychol. 1991;47(6):756–61. [DOI] [PubMed] [Google Scholar]
- 54.Osman A, Lamis DA, Freedenthal S, Gutierrez PM, McNaughton-Cassill M. The multidimensional scale of perceived social support: analyses of internal reliability, measurement invariance, and correlates across gender. J Pers Assess. 2014;96(1):103–12. [DOI] [PubMed] [Google Scholar]
- 55.Attkisson CC, Zwick R. The client satisfaction questionnaire. Psychometric properties and correlations with service utilization and psychotherapy outcome. Eval Program Plann. 1982;5(3):233–7. [DOI] [PubMed] [Google Scholar]
- 56.Nguyen TD, Attkisson CC, Stegner BL. Assessment of patient satisfaction: development and refinement of a service evaluation questionnaire. Eval Program Plann. 1983;6(3–4):299–313. [DOI] [PubMed] [Google Scholar]
- 57.Miglietta E, Belessiotis-Richards C, Ruggeri M, Priebe S. Scales for assessing patient satisfaction with mental health care: a systematic review. J Psychiatr Res. 2018;100:33–46. [DOI] [PubMed] [Google Scholar]
- 58.Batbaatar E, Dorjdagva J, Luvsannyam A, Savino MM, Amenta P. Determinants of patient satisfaction: a systematic review. Perspect Public Health. 2017;137(2):89–101. [DOI] [PubMed] [Google Scholar]
- 59.Garland AF, Aarons GA, Saltzman MD, Kruse MI. Correlates of adolescents’ satisfaction with mental health services. Ment Health Serv Res. 2000;2(3):127–39. [DOI] [PubMed] [Google Scholar]
- 60.Britton JR. The assessment of satisfaction with care in the perinatal period. J Psychosom Obstet Gynaecol. 2012;33(2):37–44. [DOI] [PubMed] [Google Scholar]
- 61.Lewis BA, Billing L, Schuver K, Gjerdingen D, Avery M, Marcus BH. The relationship between employment status and depression symptomatology among women at risk for postpartum depression. Womens Health (Lond). 2017;13(1):3–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Singla DR, Lemberg-Pelly S, Lawson A, Zahedi N, Thomas-Jacques T, Dennis CL. Implementing psychological interventions through nonspecialist providers and telemedicine in high-income countries: qualitative study from a multistakeholder perspective. JMIR Ment Health. 2020;7(8): e19271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb). 2012;22(3):276–82. [PMC free article] [PubMed] [Google Scholar]
- 64.Kavalnienė R, Deksnyte A, Kasiulevičius V, Šapoka V, Aranauskas R, Aranauskas L. Patient satisfaction with primary healthcare services: are there any links with patients’ symptoms of anxiety and depression? BMC Fam Pract. 2018;19(1): 90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Milgrom J, Hirshler Y, Reece J, Holt C, Gemmill AW. Social support-a protective factor for depressed perinatal women? Int J Environ Res Public Health. 2019;16(8): 1426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Elias A, Seward N, Lund C. Predictors, moderators and mediators of psychological therapies for perinatal depression in low- and middle-income countries: a systematic review. Cambridge Prisms: Global Mental Health. 2024;11: e10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Singla DR, MacKinnon DP, Fuhr DC, Sikander S, Rahman A, Patel V. Multiple mediation analysis of the peer-delivered Thinking Healthy Programme for perinatal depression: findings from two parallel, randomised controlled trials. Br J Psychiatry. 2021;218(3):143–50. [DOI] [PubMed] [Google Scholar]
- 68.Zimmermann D, Wampold BE, Rubel JA, Schwartz B, Poster K, Schilling VNLS, et al. The influence of extra-therapeutic social support on the association between therapeutic bond and treatment outcome. Psychother Res. 2021;31(6):726–36. [DOI] [PubMed] [Google Scholar]
- 69.Webb R, Uddin N, Ford E, Easter A, Shakespeare J, Roberts N, et al. Barriers and facilitators to implementing perinatal mental health care in health and social care settings: a systematic review. Lancet Psychiatry. 2021;8(6):521–34. [DOI] [PubMed] [Google Scholar]
- 70.Chatoor I, Krupnick J. The role of non-specific factors in treatment outcome of psychotherapy studies. Eur Child Adolesc Psychiatry. 2001;10(Suppl 1):I19-25. [DOI] [PubMed] [Google Scholar]
- 71.Priebe S, Conneely M, McCabe R, Bird V. What can clinicians do to improve outcomes across psychiatric treatments: a conceptual review of non-specific components. Epidemiol Psychiatr Sci. 2019;29: e48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Faber SC, Osman M, Williams MT. Access to mental health care in Canada. Int J Ment Health. 2023;52(3):312–34. [Google Scholar]
- 73.Glasheen C, Colpe L, Hoffman V, Warren LK. Prevalence of serious psychological distress and mental health treatment in a national sample of pregnant and postpartum women. Matern Child Health J. 2015;19(1):204–16. [DOI] [PubMed] [Google Scholar]
- 74.Kozhimannil KB, Trinacty CM, Busch AB, Huskamp HA, Adams AS. Racial and ethnic disparities in postpartum depression care among low-income women. Psychiatr Serv. 2011;62(6):619–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Arnow BA, Blasey C, Manber R, Constantino MJ, Markowitz JC, Klein DN, et al. Dropouts versus completers among chronically depressed outpatients. J Affect Disord. 2007;97(1–3):197–202. [DOI] [PubMed] [Google Scholar]
- 76.Quispel C, Lambregtse-van den Berg M, Kaan M, van den Berg PM, Hoogendijk WJ, Steegers EA, et al. Withdrawal from mental and psychosocial care during pregnancy. J Psychosom Obstet Gynaecol. 2014;35(4):140–5. [DOI] [PubMed]
- 77.Trimble JE. Advancing understanding of cultural competence, cultural sensitivity, and the effects of cultural incompetence. The portable mentor: Expert guide to a successful career in psychology, 2nd ed. New York, NY, US: Springer Science + Business Media; 2013. p. 57–80.
- 78.Stubbe DE. Practicing cultural competence and cultural humility in the care of diverse patients. Focus (Am Psychiatr Publ). 2020;18(1):49–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Dagher RK, Pérez-Stable EJ, James RS. Socioeconomic and racial/ethnic disparities in postpartum consultation for mental health concerns among US mothers. Arch Womens Ment Health. 2021;24(5):781–91. [DOI] [PubMed] [Google Scholar]
- 80.Singla DR, Hossain S, Ravitz P, Schiller CE, Andrejek N, Kim J, et al. Adapting behavioral activation for perinatal depression and anxiety in response to the COVID-19 pandemic and racial injustice. J Affect Disord. 2022;299:180–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Babyak MA. What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models. Psychosom Med. 2004;66(3):411–21. [DOI] [PubMed] [Google Scholar]
- 82.Polo AJ, Makol BA, Castro AS, Colón-Quintana N, Wagstaff AE, Guo S. Diversity in randomized clinical trials of depression: a 36-year review. Clin Psychol Rev. 2019;67:22–35. [DOI] [PubMed] [Google Scholar]
- 83.Weathers FW, Litz BT, Keane TM, Palmieri PA, Marx BP, Schnurr PP. The ptsd checklist for dsm-5 (pcl-5). Scale available from the National Center for PTSD at www.ptsd.va.gov. 2013;10(4):206.
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Additional File 1: Table 4. Clinical characteristics by race and ethnicity subgroups including means, 95% confidence intervals, and comparison statistics using an ANOVA, including Welch’s ANOVA and post-hoc comparisons. Clinical characteristics assessed in this table include: Age, post-traumatic stress symptoms, depression symptoms, perceived social support, treatment satisfaction at 3-months, and treatment dosage. The racial and ethnic subgroups include: Asian, Black, First Nation/Aboriginal, Hawaiian/Pacific Islander, Hispanic, Middle eastern, Mixed Race, White, and Prefer not to answer
Additional File 2: Table 5. Baseline characteristicsof the overall sample and the qualitative sub-sample
Data Availability Statement
Two years after publication, all individual participant de-identified data and analytic code will be shared with researchers who submit a methodologically sound proposal to: summittrial@sinaihealth.ca. Data will be available indefinitely.


