Dataset Information

The impact of race and ethnicity on rates of return to psychotherapy for depression.

ABSTRACT:

Background

There are many limitations with the evidence base for the role of race and ethnicity in continuation of psychotherapy for depression.

Methods

The study sample consisted of 242,765 patients ≥ 18 years old from six healthcare systems in the Mental Health Research Network (MHRN) who had a new episode of psychotherapy treatment for depression between 1/1/2010 and 12/31/2013. Data were from electronic medical records and organized in a Virtual Data Warehouse (VDW). The odds of racial and ethnic minority patients returning for a second psychotherapy visit within 45 days of the initial session were examined using multilevel regression.

Results

The sample was primarily middle aged (68%, 30-64 years old), female (68.5%), and non-Hispanic white (50.7%), had commercial insurance (81.4%), and a low comorbidity burden (68.8% had no major comorbidities). Return rates within 45 days of the first psychotherapy visit were 47.6%. Compared to their non-Hispanic white counterparts, racial and ethnic minority patients were somewhat less likely to return to psychotherapy for a second visit (adjusted odds ratios [aORs] ranged from 0.80 to 0.90). Healthcare system was a much stronger predictor of return rates (aORs ranged from 0.89 to 5.53), while providers accounted for 21.1% of the variance in return rates.

Conclusions

Provider and healthcare system variation were stronger predictors of patient return to psychotherapy than race and ethnicity. More research is needed to understand why providers and healthcare systems determine psychotherapy return rates for patients of all racial and ethnic groups.

SUBMITTER: Zeber JE

PROVIDER: S-EPMC5718939 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The impact of race and ethnicity on rates of return to psychotherapy for depression.

Zeber John E JE Coleman Karen J KJ Fischer Heidi H Yoon Tae K TK Ahmedani Brian K BK Beck Arne A Hubley Samuel S Imel Zac E ZE Rossom Rebecca C RC Shortreed Susan M SM Stewart Christine C Waitzfelder Beth E BE Simon Greg E GE

Depression and anxiety 20171102 12

<h4>Background</h4>There are many limitations with the evidence base for the role of race and ethnicity in continuation of psychotherapy for depression.<h4>Methods</h4>The study sample consisted of 242,765 patients ≥ 18 years old from six healthcare systems in the Mental Health Research Network (MHRN) who had a new episode of psychotherapy treatment for depression between 1/1/2010 and 12/31/2013. Data were from electronic medical records and organized in a Virtual Data Warehouse (VDW). The odds ...[more]

PMID: 29095538

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Project description:ImportancePostpartum depression (PPD) is a debilitating condition with higher rates among Black individuals. Increasingly, neighborhood disadvantage is being recognized as a contributor to poor health and may be associated with adverse postpartum mental health; however, associations between neighborhood disadvantage, race and ethnicity, and PPD have not been examined.ObjectiveTo investigate the association between neighborhood disadvantage and PPD and evaluate the extent to which these associations may differ by race and ethnicity.Design, setting, and participantsThis population-based cross-sectional study included 122 995 postpartum Kaiser Permanente Northern California members 15 years or older with a live birth between October 7, 2012, and May 31, 2017, and an address in the electronic health record. Analyses were conducted from June 1, 2022, through June 30, 2023.ExposuresNeighborhood disadvantage defined using quartiles of the Neighborhood Deprivation Index (NDI), a validated census-based socioeconomic status measure; self-reported race and ethnicity ascertained from Kaiser Permanente Northern California electronic health records.Main outcomes and measuresMultivariable Poisson regression was conducted to assess associations between neighborhood disadvantage, race and ethnicity, and a diagnosis of PPD.ResultsOf 122 995 included postpartum individuals, 17 554 (14.3%) were younger than 25 years, 29 933 (24.3%) were Asian, 8125 (6.6%) were Black, 31 968 (26.0%) were Hispanic, 47 527 (38.6%) were White, 5442 (4.4%) were of other race and ethnicity, and 15 436 (12.6%) had PPD. Higher neighborhood disadvantage and race and ethnicity were associated with PPD after covariate adjustment. Compared with White individuals, Black individuals were more likely to have PPD (adjusted relative risk [ARR], 1.30; 95% CI, 1.24-1.37), whereas Asian (ARR, 0.48; 95% CI, 0.46-0.50), and Hispanic (ARR, 0.92; 95% CI, 0.89-0.96) individuals and those identified as having other race and ethnicity (ARR, 95% CI, 0.90; 0.85-0.98) were less likely to have PPD. Associations between NDI and PPD differed by race and ethnicity (likelihood ratio test for interaction, χ212 = 41.36; P < .001). Among Black individuals, the risk of PPD was the greatest overall and increased with neighborhood disadvantage in a dose-response manner (quartile [Q] 2 ARR, 1.39 [95% CI, 1.13-1.71]; Q3 ARR, 1.50 [95% CI, 1.23-1.83]; Q4 ARR, 1.60 [95% CI, 1.32-1.93]; Cochrane-Armitage test for trend, P < .001). Neighborhood disadvantage was associated with PPD among Asian (Q2 ARR, 1.17 [95% CI, 1.04-1.31]; Q3 ARR, 1.20 [95% CI, 1.06-1.35]) and White (Q3 ARR, 1.14 [95% CI, 1.07-1.21]; Q4 ARR, 1.17 [95% CI, 1.09-1.26]) individuals and those of other race and ethnicity (Q3 ARR, 1.34 [95% CI, 1.09-1.63]; Q4 ARR, 1.28 [95% CI, 1.03-1.58]), but the magnitude of risk was lower. Neighborhood disadvantage was not associated with PPD among Hispanic individuals (eg, Q2 ARR, 1.04 [95% CI, 0.94-1.14]; Q3 ARR, 1.00 [95% CI, 0.91-1.10]; Q4 ARR, 0.98 [95% CI, 0.90-1.08]).Conclusions and relevanceIn this cross-sectional study of postpartum individuals, residing in more disadvantaged neighborhoods was associated with PPD, except among Hispanic individuals. Neighborhood disadvantage may be associated with racial and ethnic differences in postpartum mental health. Geographic targeting of mental health interventions may decrease postpartum mental health inequities.

Project description:ImportanceWithout knowledge of the degree of misattribution in racial and ethnic designations in data, studies run the risk of missing existing inequities and disparities and identifying others that do not exist. Further, accuracy of racial and ethnic designations is important to clinical care improvement efforts and health outcomes.ObjectiveTo determine the error rate of racial and ethnic attribution in the electronic medical records (EMRs) across the 3 largest pediatric health systems in Michigan.Design, setting, and participantsThis cross-sectional study collected race and ethnicity data from parents in outpatient clinics, emergency departments, and inpatient units at the 3 largest pediatric health systems in Michigan. A total of 1594 parents or guardians participated at health system A, 1537 at health system B, and 1202 at health system C from September 1, 2023, to January 31, 2024. Parent or guardian report of race and ethnicity for a child was used as the gold standard for comparison with the designation in the EMR.ExposureRace and ethnicity designations in the EMR. Options for race designation across the health systems ranged from 6 to 49; options for ethnicity, from 2 to 10.Main outcomes and measuresMatching occurred in 3 stages. First, the exact racial and ethnic designations made by parents for their child were compared with what was found in the EMR. Second, for any child whose parent selected more than 1 racial category or for whom more than 1 appeared in the EMR, the designation of a minoritized racial group was used for matching purposes. Third, starting with the product of stage 2, racial designations were combined or collapsed into 6 (health systems A and C) or 5 (health system B) designations.ResultsA total of 4333 survey responses were included in the analysis. The greatest error rate across the health systems occurred with the exact match of parental report of racial designation with the EMR, which ranged from 41% to 78% across the health systems. Improvement in the matching rate for each health system occurred with consolidation of race options provided. Differences between the health systems narrowed at the final consolidation to varying from 79% to 88% matching. Ethnicity matching between the EMR and the parental report ranged from 65% to 95% across the health systems. Missing race or ethnicity data in the EMR was counted as a nonmatch. Rates of missing racial data varied across the health systems from 2% to 10%. The health system with the greatest number of options for race and ethnicity had the highest error rates.Conclusions and relevanceAlthough there will always be some misattribution of race and ethnicity in the EMR, the results of this cross-sectional study suggest that significant error in these data may undermine strategies to improve care. It is unclear whether those in an organization who determine the number of potential categories are the same persons who use those data to investigate potential disparities and inequities.

Project description:Hospital discharge (HD) records contain important information that is used in public health and health care sectors. It is becoming increasingly common to rely mostly or exclusively on HD data to assess and monitor severe maternal morbidity (SMM) overall and by sociodemographic characteristics, including race and ethnicity. Limited studies have validated race and ethnicity in HD or provided estimates on the impact of assessing health differences in maternity populations. This study aims to determine the differences in race and ethnicity reporting between HD and birth certificate (BC) data for maternity hospitals in Florida and to estimate the impact of race and ethnicity misclassification on state- and hospital-specific SMM rates. We conducted a population-based retrospective study of live births using linked BC and HD records from 2016 to 2019 (n = 783,753). BC data were used as the gold standard. Race and ethnicity were categorized as non-Hispanic (NH)-White, NH-Black, Hispanic, NH-Asian Pacific Islander (API), and NH-American Indian or Alaskan Native (AIAN). Overall, race and ethnicity misclassification and its impact on SMM at the state- and hospital levels were estimated. At the state level, NH-AIAN women were the most misclassified (sensitivity: 28.2%; positive predictive value (PPV): 25.2%) and were commonly classified as NH-API (30.3%) in HD records. NH-API women were the next most misclassified (sensitivity: 57.3%; PPV: 85.4%) and were commonly classified as NH-White (5.8%) or NH-other (5.5%). At the hospital level, wide variation in sensitivity and PPV with negative skewing was identified, particularly for NH-White, Hispanic, and NH-API women. Misclassification did not result in large differences in SMM rates at the state level for all race and ethnicity categories except for NH-AIAN women (% difference 78.7). However, at the hospital level, Hispanic women had wide variability of a percent difference in SMM rates and were more likely to have underestimated SMM rates. Reducing race and ethnicity misclassification on HD records is key in assessing and addressing SMM differences and better informing surveillance, research, and quality improvement efforts.

Project description:ImportancePostpartum depression (PPD) poses significant risks to maternal and child health. Understanding temporal trends is crucial for evaluating prevalence and identifying populations at risk.ObjectiveTo evaluate recent trends in PPD and assess how these trends are associated with race, ethnicity, and prepregnancy body mass index (BMI).Design, setting, and participantsA serial, cross-sectional analysis using data from the Kaiser Permanente Southern California (KPSC) electronic health records (EHRs), with live and stillbirths at 20 or more weeks of gestation who were KPSC members at the time of delivery between 2010 and 2021. Data were analyzed from July 2022 to August 2023.ExposuresSelf-reported race, ethnicity, and recorded prepregnancy BMI.Main outcome measuresPPD cases were identified using validated diagnostic codes and prescription records within 12 months postpartum in the KPSC EHRs. Patients with an Edinburgh Postnatal Depression Scale score of 10 or more within 6 months postpartum were further evaluated by a mental health specialist for formal PPD diagnosis.ResultsIn this study of 442 308 pregnancies, the median (IQR) maternal age at delivery was 31 (27-34) years. The cohort was racially and ethnically diverse, with 62 860 individuals (14.2%) identifying as Asian/Pacific Islander, 231 837 (52.4%) as Hispanic, 33 207 (7.5%) as non-Hispanic Black, 108 201 (24.5%) as non-Hispanic White, 5903 (1.3%) as multiple or other, and 300 (0.1%) unknown. PPD prevalence doubled over the study period, increasing from 9.4% in 2010 to 19.0% in 2021. The largest increases were observed among Asian and Pacific Islander participants (280% increase) and non-Hispanic Black participants (140% increase). PPD rates increased across all BMI categories, particularly among individuals with obesity (class I) and morbid obesity (class II/III).Conclusions and relevanceIn this cross-sectional study, PPD diagnosis increased significantly across all racial and ethnic groups and BMI categories over the past decade. While rising PPD may reflect improved screening and diagnosis practices, the persistently high rates highlight the need to develop and implement interventions to prevent the condition while expanding efforts to mitigate the impact of PPD on maternal and child health.

Project description:ImportancePrevious research suggests that the prevalence of occupational burnout varies by demographic characteristics, such as sex and age, but the association between physician race/ethnicity and occupational burnout is less well understood.ObjectiveTo investigate possible differences in occupational burnout, depressive symptoms, career satisfaction, and work-life integration by race/ethnicity in a sample of US physicians.Design, setting, and participantsIn this cross-sectional study, data for this secondary analysis of 4424 physicians were originally collected from a cross-sectional survey of US physicians between October 12, 2017, and March 15, 2018. The dates of analysis were March 8, 2019, to May 21, 2020. Multivariable logistic regression, including statistical adjustment for physician demographic and clinical practice characteristics, was performed to examine the association between physician race/ethnicity and occupational burnout, depressive symptoms, career satisfaction, and work-life integration.ExposuresPhysician demographic and clinical practice characteristics included race/ethnicity, sex, age, clinical specialty, hours worked per week, primary practice setting, and relationship status.Main outcomes and measuresPhysicians with a high score on the emotional exhaustion or depersonalization subscale of the Maslach Burnout Inventory were classified as having burnout. Depressive symptoms were measured using the Primary Care Evaluation of Mental Disorders instrument. Physicians who marked "strongly agree" or "agree" in response to the survey items "I would choose to become a physician again" and "My work schedule leaves me enough time for my personal/family life" were considered to be satisfied with their career and work-life integration, respectively.ResultsData were available for 4424 physicians (mean [SD] age, 52.46 [12.03] years; 61.5% [2722 of 4424] male). Most physicians (78.7% [3480 of 4424]) were non-Hispanic White. Non-Hispanic Asian, Hispanic/Latinx, and non-Hispanic Black physicians comprised 12.3% (542 of 4424), 6.3% (278 of 4424), and 2.8% (124 of 4424) of the sample, respectively. Burnout was observed in 44.7% (1540 of 3447) of non-Hispanic White physicians, 41.7% (225 of 540) of non-Hispanic Asian physicians, 38.5% (47 of 122) of non-Hispanic Black physicians, and 37.4% (104 of 278) of Hispanic/Latinx physicians. The adjusted odds of burnout were lower in non-Hispanic Asian physicians (odds ratio [OR], 0.77; 95% CI, 0.61-0.96), Hispanic/Latinx physicians (OR, 0.63; 95% CI, 0.47-0.86), and non-Hispanic Black physicians (OR, 0.49; 95% CI, 0.30-0.79) compared with non-Hispanic White physicians. Non-Hispanic Black physicians were more likely to report satisfaction with work-life integration compared with non-Hispanic White physicians (OR, 1.69; 95% CI, 1.05-2.73). No differences in depressive symptoms or career satisfaction were observed by race/ethnicity.Conclusions and relevancePhysicians in minority racial/ethnic groups were less likely to report burnout compared with non-Hispanic White physicians. Future research is necessary to confirm these results, investigate factors contributing to increased rates of burnout among non-Hispanic White physicians, and assess factors underlying the observed patterns in measures of physician wellness by race/ethnicity.

Project description:ImportanceThe National Cancer Database (NCDB) is an invaluable and widely used resource for cancer research, but the current state of representation of different racial and ethnic groups compared with the United States Cancer Statistics (USCS) database is unknown.ObjectiveTo examine whether Hispanic and American Indian or Alaska Native individuals have lower representation in the NCDB compared with the USCS database.Design, setting, and participantsThis multicenter, retrospective cohort study assessed individuals diagnosed with breast, colorectal, lung, and prostate cancer from January 1, 2004, to December 31, 2006, and January 1, 2017, to December 31, 2019, in the NCDB and USCS databases. Data analysis was performed from September 2022 to October 2023.ExposureTime.Main outcomes and measuresThe primary outcome was the absolute percentage change (APC) in capture rate across the study period.ResultsThe cohort included 5 175 007 individuals (0.50% American Indian or Alaska Native, 3.10% Asian or Pacific Islander, 12.01% Black, 6.58% Hispanic, and 77.81% White) who were diagnosed with breast, colorectal, lung, and prostate cancer. Capture rates were the lowest for individuals who were Hispanic (40.83% in 2004-2006 and 54.75% in 2017-2019; P < .001) or American Indian or Alaska Native (20.72% in 2004-2006 and 41.41% in 2017-2019; P < .001). The APCs were positive for both racial categories across all 4 cancers. However, overall APCs for Hispanic individuals (13.92%) remained lower than the overall APCs of White individuals (22.23%; P < .001). The APCs were greater for American Indian or Alaska Native individuals than for White individuals for prostate (14.68% vs 11.57%) and breast (21.61% vs 17.90%) cancer (P < .001), but the APCs for American Indian or Alaska Native individuals were lower than for White individuals for lung cancer (24.54% vs 33.03%; P < .001).Conclusions and relevanceIn this cohort study of individuals diagnosed with cancer in the NCDB, Hispanic and American Indian or Alaska Native individuals diagnosed with breast, colorectal, lung, and prostate cancer were undercaptured in the NCDB, but their representation improved over time. Increased study is needed to determine where these populations predominantly seek cancer care.

Dataset Information

The impact of race and ethnicity on rates of return to psychotherapy for depression.

Background

Methods

Results

Conclusions

Publications

The impact of race and ethnicity on rates of return to psychotherapy for depression.

Similar Datasets

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