Evaluating the implementation of Nuevo Amanecer-II in rural community settings using mixed methods and equity frameworks.

BACKGROUND: The 10-week Nuevo Amanecer-II intervention, tested through a randomized controlled trial, reduced anxiety and improved stress management skills among Spanish-speaking Latina breast cancer survivors. This paper describes the implementation and equity evaluation outcomes of the Nuevo Amanecer-II intervention delivered in three California rural communities. METHODS: Using implementation and equity frameworks, concurrent convergent mixed methods were applied to evaluate implementation (feasibility, fidelity, acceptability, adoption, appropriateness, and sustainability) and equity (shared power and capacity building) outcomes. Quantitative data were collected using tracking forms, fidelity rating forms, and program evaluation surveys; qualitative data were collected using semi-structured in-depth interviews. Respondents included community-based organization (CBO) administrators, recruiters, compañeras (interventionists), and program participants. RESULTS: Of 76 women randomized to the intervention, 65 (86%) completed at least 7 of 10 sessions. Participants' knowledge (85% correct of 7 questions) and skills mastery were high (85% able to correctly perform 14 skills). Mean fidelity ratings across compañeras ranged from 3.8 (modeled skills) to 5.0 (used supportive/caring communication); 1-5 scale. The program was rated as very good/excellent by 90% of participants. Participants and compañeras suggested including family members; compañeras suggested expanding content on managing thoughts and mood and healthy living and having access to participant's survivorship care plan to tailor breast cancer information. CBOs adopted the program because it aligned with their priority populations and mission. Building on CBOs' knowledge, resources, and infrastructure, implementation success was due to shared power, learning, responsibility, and co-ownership, resulting in a co-created tailored program for community and organizational contexts. Building intervention capacity prior to implementation, providing funding, and ongoing technical support to CBOs were vital for fidelity and enhancement of recruiter and compañera professional skills. Two of three CBOs created plans for program sustainability beyond the clinical trial; all administrators discussed the need for new funding sources to sustain the program as delivered. CONCLUSIONS: Building on community assets and using equitable participatory research processes were central to the successful implementation of a peer-delivered psychosocial intervention in three rural communities among Spanish-speaking Latinas with breast cancer.

Inability to get needed health care during the COVID-19 pandemic among a nationally representative, diverse population of U.S. adults with and without chronic conditions.

BACKGROUND: Delays in health care have been observed in the U.S. during the COVID-19 pandemic; however, the prevalence of inability to get needed care and potential disparities in health care access have yet to be assessed. METHODS: We conducted a nationally representative, online survey of 5,500 American Indian/Alaska Native, Asian, Black/African American, Latino (English- and Spanish-speaking), Native Hawaiian/Pacific Islander, White, and multiracial adults between 12/2020-2/2021 (baseline) and 8/16/2021-9/9/2021 (6-month follow-up). Participants were asked "Since the start of the pandemic, was there any time when you did not get medical care that you needed?" Those who responded "Yes" were asked about the type of care and the reason for not receiving care. Poisson regression was used to estimate the association between sociodemographics and inability to receive needed care; all analyses were stratified by chronic condition status. Chronic conditions included: chronic obstructive pulmonary disease (COPD), heart conditions, type 2 diabetes, chronic kidney disease or on dialysis, sickle cell disease, cancer, and immunocompromised state (weakened immune system). RESULTS: Overall, 20.0% of participants at baseline and 22.7% at follow-up reported not getting needed care. The most common reasons for being unable to get needed care included fear of COVID-19 (baseline: 44.1%; follow-up: 47.2%) and doctors canceled appointment (baseline: 25.3%; follow-up: 14.1%). Routine care (baseline: 59.9%; follow-up: 62.6%) and chronic care management (baseline: 31.5%; follow-up: 30.1%) were the most often reported types of delayed care. Fair/poor self-reported physical health was significantly associated with being unable to get needed care despite chronic condition status (≥ 1 chronic condition: aPR = 1.36, 95%CI = 1.04-1.78); no chronic conditions: aPR = 1.52, 95% CI = 1.28-1.80). The likelihood of inability to get needed care differed in some instances by race/ethnicity, age, and insurance status. For example, uninsured adults were more likely to not get needed care (≥ 1 chronic condition: aPR = 1.76, 95%CI = 1.17-2.66); no chronic conditions: aPR = 1.25, 95% CI = 1.00-1.56). CONCLUSIONS: Overall, about one fifth of participants reported being unable to receive needed care at baseline and follow-up. Delays in receiving needed medical care may exacerbate existing conditions and perpetuate existing health disparities among vulnerable populations who were more likely to have not received needed health care during the pandemic.

Racial/Ethnic Disparities in Financial Hardship During the First Year of the Pandemic.

Introduction: The economic impact of the COVID-19 pandemic has been substantial, yet little is known about the financial effects resulting from lost employment or financial hardship racial-ethnic disparities. Methods: We conducted a nationally representative, online survey of 5500 English- and Spanish-speaking American Indian/Alaska Native, Asian, Black/African American, Native Hawaiian/Pacific Islander, Latino, White, and multiracial adults, from December 2020 to February 2021. Six financial hardship domains were measured (lost income, debt, unmet expenses, unmet health care expenses, housing insecurity, and food insecurity). Prevalence of financial hardship among each racial-ethnic group was estimated using multivariable Poisson regression. Results: Overall, 70.3% reported experiencing financial hardship; debt (57.6%), lost income (44.5%), and unmet expenses (33.7%) were most common. American Indian/Alaska Native (adjusted prevalence ratio [aPR]=1.19, 95% confidence interval [CI]=1.04 to 1.35), Black/African American (aPR=1.18, 95% CI=1.06 to 1.32), Latino (English-speaking: aPR=1.15, 95% CI=1.01 to 1.31; Spanish-speaking: aPR=1.27, 95% CI=1.12 to 1.45), and Native Hawaiian/Pacific Islander (aPR=1.21, 95% CI=1.06 to 1.38) adults were more likely to experience financial hardship, compared with White adults. American Indian/Alaska Native, Black/African American, Spanish-speaking Latino, and Native Hawaiian/Pacific Islander adults were also more likely to report hardship in almost all hardship domains (e.g., housing insecurity: aPRs=1.37-1.91). Conclusions: Racial/ethnic minorities were more likely to experience financial hardship during the pandemic. The prevalence of lost income was similar across most racial/ethnic groups, suggesting that preexisting wealth disparities led to some groups being less able to handle the economic shocks caused by the COVID-19 pandemic. Financial hardship may be underestimated for communities without English or Spanish fluency. Without intervention, financial hardship will likely exacerbate wealth disparities in the United States.

Impact of COVID-related Discrimination on Psychological Distress and Sleep Disturbances across Race-Ethnicity.

COVID-related discrimination towards historically marginalized racial-ethnic groups in the United States has been well-documented; however, its impact on psychological distress and sleep (overall and within specific racial-ethnic groups) is largely unknown. We used data from our nationally representative, online survey of 5,500 American Indian/Alaska Native, Asian, Black/African American, Native Hawaiian/Pacific Islander, Latino, White, and multiracial adults, conducted from 12/2020-2/2021. Participants were asked how often they experienced discriminatory behaviors "because they think you might have COVID-19" (modified Everyday Discrimination Scale). Psychological distress was captured as having experienced anxiety-depression symptoms (Patient Health Questionairre-4, PHQ-4), perceived stress (modified Perceived Stress Scale), or loneliness-isolation ("How often have you felt lonely and isolated?"). Sleep disturbances were measured using the Patient-Reported Outcomes Information System Short Form Sleep Disturbance scale (PROMIS-SF 4a). Overall, 22.1% reported COVID-related discriminatory behaviors (sometimes/always: 9.7%; rarely: 12.4%). 48.4% of participants reported anxiety-depression symptoms (moderate/severe: 23.7% mild: 24.8%), 62.4% reported feeling stressed (moderate/severe: 34.3%; mild: 28,1%), 61.0% reported feeling lonely-isolated (fairly often/very often: 21.3%; almost never/sometimes: 39.7%), and 35.4% reported sleep disturbances (moderate/severe:19.8%; mild: 15.6%). Discrimination was only associated with increased psychological distress among racial-ethnic minorities. For example, COVID-related discrimination was strongly associated with anxiety-depression among Black/African American adults (mild: aOR=2.12, 95% CI=1.43-5.17; moderate/severe: aOR=5.19, 95% CI=3.35-8.05), but no association was observed among White or multiracial adults. Mitigating pandemic-related discrimination could help alleviate mental and sleep health disparities occurring among minoritized racial-ethnic groups.

Race/ethnicity-specific associations between breastfeeding information source and breastfeeding rates among U.S. women.

BACKGROUND: Despite evidence of the impact of breastfeeding information on breastfeeding rates, it is unknown if information sources and impact vary by race/ethnicity, thus this study assessed race/ethnicity-specific associations between breastfeeding information sources and breastfeeding. METHODS: We used data from the 2016-2019 Pregnancy Risk Assessment Monitoring System. Race/ethnicity-stratified multinomial logistic regression was used to estimate associations between information source (e.g., family/friends) and breastfeeding rates (0 weeks/none, < 10 weeks, or ≥ 10 weeks; < 10 weeks and ≥ 10 weeks = any breastfeeding). All analyses were weighted to be nationally representative. RESULTS: Among 5,945,018 women (weighted), 88% reported initiating breastfeeding (≥ 10 weeks = 70%). Information from family/friends (< 10 weeks: aORs = 1.58-2.14; ≥ 10 weeks: aORs = 1.63-2.64) and breastfeeding support groups (< 10 weeks: aORs = 1.31-1.76; ≥ 10 weeks: aORs = 1.42-2.77) were consistently associated with breastfeeding and duration across most racial/ethnic groups; effects were consistently smaller among Alaska Native, Black, and Hispanic women (vs White women). Over half of American Indian and one-quarter of Black women reported not breastfeeding/stopping breastfeeding due to return to school/work concerns. CONCLUSIONS: Associations between breastfeeding information source and breastfeeding rates vary across race/ethnicity. Culturally tailored breastfeeding information and support from family/friends and support groups could help reduce breastfeeding disparities. Additional measures are needed to address disparities related to concerns about return to work/school.

Financial strain, neighborhood cohesion, and health-related quality of life among rural and urban Spanish-speaking Latina breast cancer survivors.

PURPOSE: Among Latina breast cancer survivors, explore associations between rural/urban residence and health-related quality of life (HRQL), and whether associations are moderated by financial strain and low neighborhood cohesion. METHODS: We combined baseline data from two randomized controlled trials of a stress management intervention conducted among 151 urban and 153 rural dwelling Latinas with nonmetastatic breast cancer. Generalized linear models estimated associations between rural/urban status and HRQL (overall, emotional, social-family, physical, and functional well-being), and we examined moderation effects of financial strain and low neighborhood cohesion, controlling for age, marital status, and breast cancer characteristics. RESULTS: Rural women reported better emotional (ß = 1.85; 95% CI = 0.37, 3.33), functional (ß = 2.23; 95% CI = 0.69, 3.77), and overall (ß = 5.68; 95% CI = 1.12, 10.25) well-being than urban women, regardless of degree of financial strain or neighborhood cohesion; moderation effects were not statistically significant. Financial strain was inversely associated with emotional (ß = -2.34; 95% CI = 3.63, -1.05), physical (ß = -2.56; 95% CI = -4.12, -1.01), functional (ß = -1.61; 95% CI = -2.96, -0.26), and overall (ß = -6.67; 95% CI = -10.96, -2.98) well-being. Low neighborhood cohesion was inversely associated with emotional (ß = -1.27; 95% CI = -2.50, -0.04), social-family (ß = -1.72; 95% CI = -3.02, -0.42), functional (ß = -1.63; 95% CI = -2.92, -0.34), and overall (ß = -5.95; 95% CI = 9.76, -2.14) well-being. CONCLUSIONS: Rural Latina breast cancer survivors reported better emotional, functional and overall well-being than their urban counterparts. Greater financial strain and less neighborhood cohesion were associated with worse HRQL on most domains regardless of rural/urban context. IMPLICATIONS FOR CANCER SURVIVORS: Interventions that focus on increasing perceived neighborhood cohesion and reducing or better managing financial strain, could help improve Latina cancer survivors' well-being.

Impact of COVID-related policies on gunshot wound assault hospitalizations in the United States: a statewide time series analysis.

BACKGROUND: The CDC recently reported that firearm homicide rates in the United States increased in 2020, particularly among Black/African American individuals and men 25-44 years old. It is unclear whether firearm hospitalizations also increased, and more importantly, what impact the COVID-19 pandemic and COVID-related policies had. Using the North Carolina Trauma Registry, a statewide registry of trauma admissions to eighteen North Carolina hospitals, we calculated weekly GSW hospitalization rates from 1/2019 to 12/2020, overall and stratified by race-ethnicity, age, and sex. Interrupted time-series design and segmented linear regression were used to estimate changes in weekly hospitalization rates over time after (1) U.S. declaration of a public health emergency; (2) statewide Stay-at-Home order; (3) Stay-at-Home order lifted with restrictions (Phase 2: Safer-at-Home); and (4) further lifting of restrictions (Phase 2.5: Safer-at-Home). Non-GSW assault hospitalizations were used as a control to assess whether trends were observed across all assault hospitalizations or if effects were specific to gun violence. FINDINGS: Overall, 47.3% (n = 3223) of assault hospitalizations were GSW. Among GSW hospitalizations, median age was 27 years old (interquartile range [IQR] 21-25), 86.2% were male, and 49.5% occurred after the U.S. declared a public health emergency. After the Stay-at-Home order was implemented, weekly GSW hospitalization rates began increasing substantially among Black/African American residents (weekly trend change = 0.775, 95% CI = 0.254 to 1.296), peaking at an average 15.6 hospitalizations per 1,000,000 residents. Weekly hospitalization rates declined after restrictions were lifted but remained elevated compared to pre-COVID levels in this group (average weekly rate 10.6 per 1,000,000 at the end of 2020 vs. 8.9 per 1,000,000 pre-pandemic). The Stay-at-Home order was also associated with increasing GSW hospitalization rates among males 25-44 years old (weekly trend change = 1.202, 95% CI = 0.631 to 1.773); rates also remained elevated among 25-44-year-old males after restrictions were lifted in 2020 (average weekly rate 10.1 vs. 7.9 per 1,000,000). Non-GSW hospitalization rates were relatively stable in 2020. CONCLUSIONS: The COVID-19 pandemic and statewide Stay-at-Home orders appeared to have placed Black/African American residents and men ages 25-44 at higher risk for GSW hospitalizations, exacerbating pre-existing disparities. Persistent gun violence disparities must be addressed.

Effect of Stay-at-Home orders and other COVID-related policies on trauma hospitalization rates and disparities in the USA: a statewide time-series analysis.

BACKGROUND: To combat the coronavirus pandemic, states implemented several public health policies to reduce infection and transmission. Increasing evidence suggests that these prevention strategies also have had a profound impact on non-COVID healthcare utilization. The goal of this study was to determine the impact of a statewide Stay-at-Home order and other COVID-related policies on trauma hospitalizations, stratified by race/ethnicity, age, and sex. METHODS: We used the North Carolina Trauma Registry, a statewide registry of trauma hospitalizations for 18 hospitals across North Carolina, including all North Carolina trauma centers, to calculate weekly rates of assault, self-inflicted, unintentional motor vehicle collision (MVC), and other unintentional injury hospitalizations between January 1, 2019, and December 31, 2020. Interrupted time-series design and segmented linear regression were used to estimate changes in hospitalization rates after several COVID-related executive orders, overall and stratified by race/ethnicity, age, and sex. Changes in hospitalization rates were assessed after 1) USA declaration of a public health emergency; 2) North Carolina statewide Stay-at-Home order; 3) Stay-at-Home order lifted with restrictions (Phase 2: Safer-at-Home); and 4) further lifting of restrictions (Phase 2.5: Safer-at-Home). RESULTS: There were 70,478 trauma hospitalizations in North Carolina, 2019-2020. In 2020, median age was 53 years old and 59% were male. Assault hospitalization rates (per 1,000,000 NC residents) increased after the Stay-at-Home order, but substantial increases were only observed among Black/African American residents (weekly trend change = 1.147, 95% CI = 0.634 to 1.662) and 18-44-year-old males (weekly trend change = 1.708, 95% CI = 0.870 to 2.545). After major restrictions were lifted, assault rates decreased but remained elevated compared to pre-COVID levels. Unintentional non-MVC injury hospitalizations decreased after the USA declared a public health emergency, especially among women ≥ 65 years old (weekly trend change = -4.010, 95% CI = -6.166 to -1.855), but returned to pre-pandemic levels within several months. CONCLUSIONS: Statewide Stay-at-Home orders placed Black/African American residents at higher risk of assault hospitalizations, exacerbating pre-existing disparities. Males 18-44 years old were also at higher risk of assault hospitalization. Fear of COVID-19 may have led to decreases in unintentional non-MVC hospitalization rates, particularly among older females. Policy makers must anticipate policy-related harms that may disproportionately affect already disadvantaged communities and develop mitigation approaches.

Perceived general, mental, and physical health of Latinos in the United States following adoption of immigrant-inclusive state-level driver's license policies: a time-series analysis.

BACKGROUND: In the United States (U.S.), several states have laws that allow individuals to obtain driver's licenses regardless of their immigration status. Possession of a driver's license can improve an individual's access to social programs, healthcare services, and employment opportunities, which could lead to improvements in perceived mental and physical health among Latinos living in the U.S. METHODS: Using Behavioral Risk Factor Surveillance System data (2011-2019) for Latinos living in the U.S. overall (immigration status was not available), we compared the average number of self-reported perceived poor mental and physical health days/month, and general health status (single-item measures) before (January 2011-June 2013) and after implementation (July 2015-December 2019) of immigrant-inclusive license policies using interrupted time-series analyses and segmented linear regression, and a control group of states in which such policies were not implemented. We also compared the average number of adults reporting any perceived poor mental or physical health days (≥ 1 day/month) using a similar approach. RESULTS: One hundred twenty-three thousand eight hundred seven Latino adults were included; 66,805 lived in states that adopted immigrant-inclusive license policies. After implementation, average number of perceived poor physical health days significantly decreased from 4.30 to 3.80 days/month (immediate change = -0.64, 95% CI = -1.10 to -0.19). The proportion reporting ≥ 1 perceived poor physical and mental health day significantly decreased from 41 to 34% (OR = 0.89, 95% CI = 0.80-1.00) and from 40 to 33% (OR = 0.84, 95% CI = 0.74-0.94), respectively. CONCLUSIONS: Among all Latinos living in the U.S., immigrant-inclusive license policies were associated with fewer perceived poor physical health days per month and fewer adults experiencing poor physical and mental health. Because anti-immigrant policies can harm Latino communities regardless of immigration status and further widen health inequities, implementing state policies that do not restrict access to driver licenses based on immigrant status documentation could help address upstream drivers of such inequities.

Effect of Stay-at-Home Orders and Other COVID-Related Policies on Trauma Hospitalization Rates and Disparities in the United States: A Statewide Time-Series Analysis.

Background: To combat the coronavirus pandemic, states implemented several public health policies to reduce infection and transmission. Increasing evidence suggests that these prevention strategies also have had a profound impact on non-COVID healthcare utilization. The goal of this study was to determine the impact of a statewide Stay-at-Home and other COVID-related policies on trauma hospitalizations, stratified by race/ethnicity, age, and sex. Methods: We used the North Carolina Trauma Registry, a statewide registry of trauma hospitalizations to 18 hospitals across North Carolina, including all North Carolina trauma centers, to calculate weekly assault, self-inflicted, unintentional motor vehicle collision (MVC), and other unintentional injury hospitalization rates between January 1, 2019 and December 31, 2020. Interrupted time-series design and segmented linear regression were used to estimate changes in hospitalizations rates after several COVID-related executive orders, overall and stratified by race/ethnicity, age, and gender. Hospitalization rates were compared after 1) U.S. declaration of a public health emergency; 2) North Carolina statewide Stay-at-Home order; 3) Stay-at-Home order lifted with restrictions (Phase 2: Safer-at-Home); and 4) further lifting of restrictions (Phase 2.5: Safer-at-Home). Results: There were 70,478 trauma hospitalizations in North Carolina from 2019-2020. In 2020, median age was 53 years old and 59% were male. Assault hospitalization rates (per 1,000,000 NC residents) increased after the Stay-at-Home order, but only among Black/African American residents (incidence rate difference [IRD]=7.9; other racial/ethnic groups' IRDs ranged 0.9 to 1.7) and 18-44 year-old males (IRD=11.9; other sex/age groups' IRDs ranged -0.5 to 3.6). After major restrictions were lifted, assault rates returned to pre-COVID levels. Unintentional injury hospitalizations decreased after the public health emergency, especially among older adults, but returned to 2019 levels within several months. Conclusions: Statewide Stay-at-Home orders put Black/African American residents at higher risk for assault hospitalizations, exacerbating pre-existing disparities. Fear of COVID-19 may have also led to decreases in unintentional non-MVC hospitalization rates, particularly among older adults. Policy makers must anticipate possible negative effects and develop approaches for mitigating harms that may disproportionately affect already disadvantaged communities.

Traditional Healers as Health Care Providers for the Latine Community in the United States, a Systematic Review.

Background: Due to structural barriers to accessing the biomedical health care system, traditional healers (THs) often serve as the first point of contact for health care by Latine individuals in the United States. A recent assessment of the extent of use of THs by the Latine community is lacking. Methods: We conducted a systematic review of the literature published between 2000 and 2020, to assess the prevalence of use of THs by U.S. Latine individuals, health conditions for which care was sought, reasons for their use, and extent of TH use and dual use that is of biomedical health care and TH together. Primary inclusion criteria for studies included: (1) published in English, (2) focus on THs, (3) pertained to Latine individuals residing in the United States, and (4) published since 2000. Results: Eighty-five studies were reviewed; 33 met inclusion criteria. Under the overarching term of curanderos, 4 subtypes of THs were identified: sobadores, yerberos, espiritualistas, and hueseros. The lifetime prevalence of TH use varied from 6% to 67.7% depending on the demographic differences among the Latine individuals in these studies. Primary reasons for seeking care from THs were accessibility/convenience, affordability, and linguistic and cultural congruence. Discussion: The use of THs is highly prevalent for Latine community residing in the United States because they are accessible, affordable, and provide culturally and linguistically compatible care, indicating that they offer an alternative that addresses systemic structural barriers to biomedical health care. Further research on the efficacy and safety of the treatments rendered by THs and how their care might be optimally coordinated with biomedical health care, could improve health equity and access to care among Latine individuals in the United States.

Socioeconomic deprivation and genetic ancestry interact to modify type 2 diabetes ethnic disparities in the United Kingdom.

BACKGROUND: Type 2 diabetes (T2D) is a complex common disease that disproportionately impacts minority ethnic groups in the United Kingdom (UK). Socioeconomic deprivation (SED) is widely considered as a potential explanation for T2D ethnic disparities in the UK, whereas the effect of genetic ancestry (GA) on such disparities has yet to be studied. METHODS: We leveraged data from the UK Biobank prospective cohort study, with participants enrolled between 2006 and 2010, to model the relationship between SED (Townsend index), GA (clustering principal components of whole genome genotype data), and T2D status (ICD-10 codes) across the three largest ethnic groups in the UK - Asian, Black, and White - using multivariable logistic regression. FINDINGS: The Asian group shows the highest T2D prevalence (17·9%), followed by the Black (11·7%) and White (5·5%) ethnic groups. We find that both SED (OR: 1·11, 95% CI: 1·10-1·11) and non-European GA (OR South Asian versus European: 4·37, 95% CI: 4·10-4·66; OR African versus European: 2·52, 95% CI: 2·23-2·85) are significantly associated with the observed T2D disparities. GA and SED show significant interaction effects on T2D, with SED being a relatively greater risk factor for T2D for individuals with South Asian and African ancestry, compared to those with European ancestry. INTERPRETATION: The significant interactions between SED and GA underscore how the effects of environmental risk factors can differ among ancestry groups, suggesting the need for group-specific interventions. FUNDING: This work was supported by the National Institutes of Health (NIH) Distinguished Scholars Program (DSP) to LMR and the Division of Intramural Research (DIR) of the National Institute on Minority Health and Health Disparities (NIMHD) at NIH.

Affirming NIH's commitment to addressing structural racism in the biomedical research enterprise.

NIH has acknowledged and committed to ending structural racism. The framework for NIH's approach, summarized here, includes understanding barriers; developing robust health disparities/equity research; improving its internal culture; being transparent and accountable; and changing the extramural ecosystem so that diversity, equity, and inclusion are reflected in funded research and the biomedical workforce.

Guidelines for Evaluating the Feasibility of Recruitment in Pilot Studies of Diverse Populations: An Overlooked but Important Component.

Background: In health disparities research, studies often fall short of their recruitment goals. Conducting a pilot feasibility study of recruitment in which data are collected systematically on recruitment processes can help investigators refine methods for the larger study. However, there are few guidelines for conducting pilot feasibility studies, and recruitment methods are seldom the focus. Feasibility indicators differ from traditional reports of recruitment results by focusing on the extent to which recruitment goals are met. Methods: We present an organizing framework for assessing the feasibility of recruitment that includes eight steps, briefly: 1) specify recruitment goals; 2) specify recruitment processes; 3) establish a tracking system for each individual; 4) establish a tracking database for monitoring processes and results; 5) implement recruitment and track each individual's progress; 6) summarize recruitment results; 7) calculate and interpret feasibility measures - were goals met; and 8) if goals were not met, utilize tracking data to modify methods for the larger study. We describe methods within each step, with added details for steps 2-5 (the specific processes). The framework draws from a small literature on recruitment feasibility with a focus on health disparities populations. The guidelines blend well-known methods of recruitment with additional information on calculating feasibility indicators. Conclusions: These guidelines provide a first step in thinking systematically about recruitment feasibility, to advance the field of measuring feasibility. Feasibility indicators also can be used to track the effectiveness of innovative recruitment strategies as part of building the science of recruitment, especially in disparities populations.

Racial Differences in the Association Between Luminal Master Regulator Gene Expression Levels and Breast Cancer Survival.

PURPOSE: Compared with their European American (EA) counterparts, African American (AA) women are more likely to die from breast cancer in the United States. This disparity is greatest in hormone receptor-positive subtypes. Here we uncover biological factors underlying this disparity by comparing functional expression and prognostic significance of master transcriptional regulators of luminal differentiation. EXPERIMENTAL DESIGN: Data and biospecimens from 262 AA and 293 EA patients diagnosed with breast cancer from 2001 to 2010 at a major medical center were analyzed by IHC for functional biomarkers of luminal differentiation, including estrogen receptor (ESR1) and its pioneer factors, FOXA1 and GATA3. Integrated comparison of protein levels with network-level gene expression analysis uncovered predictive correlations with race and survival. RESULTS: Univariate or multivariate HRs for overall survival, estimated from digital IHC scoring of nuclear antigen, show distinct differences in the magnitude and significance of these biomarkers to predict survival based on race: ESR1 [EA HR = 0.47; 95% confidence interval (CI), 0.31-0.72 and AA HR = 0.77; 95% CI, 0.48-1.18]; FOXA1 (EA HR = 0.38; 95% CI, 0.23-0.63 and AA HR = 0.53; 95% CI, 0.31-0.88), and GATA3 (EA HR = 0.36; 95% CI, 0.23-0.56; AA HR = 0.57; CI, 0.56-1.4). In addition, we identify genes in the downstream regulons of these biomarkers highly correlated with race and survival. CONCLUSIONS: Even within clinically homogeneous tumor groups, regulatory networks that drive mammary luminal differentiation reveal race-specific differences in their association with clinical outcome. Understanding these biomarkers and their downstream regulons will elucidate the intrinsic mechanisms that drive racial disparities in breast cancer survival.

Building the Evidence Base to Inform Planned Intervention Adaptations by Practitioners Serving Health Disparity Populations.

Many evidence-based interventions (EBIs) have been developed to prevent or treat major health conditions. However, many EBIs have exhibited limited adoption, reach, and sustainability when implemented in diverse community settings. This limitation is especially pronounced in low-resource settings that serve health disparity populations. Often, practitioners identify problems with existing EBIs originally developed and tested with populations different from their target population and introduce needed adaptations to make the intervention more suitable. Although some EBIs have been extensively adapted for diverse populations and evaluated, most local adaptations to improve fit for health disparity populations are not well documented or evaluated. As a result, empirical evidence is often lacking regarding the potential effectiveness of specific adaptations practitioners may be considering. We advocate an expansion in the emphasis of adaptation research from researcher-led interventions to research that informs practitioner-led adaptations. By presenting a research vision and strategies needed to build this area of science, we aim to inform research that facilitates successful adaptation and equitable implementation and delivery of EBIs that reduce health disparities.

Progress and future challenges in aging and diversity research in the United States.

In 2016, the UC Davis Latino Aging Research Resource Center and UC Davis Alzheimer's Disease Center brought together experts from across the country to consolidate current knowledge and identify future directions in aging and diversity research. This report disseminates the research priorities that emerged from this conference, building on an earlier Gerontological Society of America preconference. We review key racial/ethnic differences in cognitive aging and dementia and identify current knowledge gaps in the field. We advocate for a systems-level framework for future research whereby environmental, sociocultural, behavioral, neuropathological, genetic, and psychometric levels of analysis are examined together to identify pathways and mechanisms that influence disparities. We then discuss steps to increase the recruitment and retention of racial/ethnic minorities in aging studies, as none of the recommendations will be possible without strong collaboration between racial/ethnic minority communities and researchers. This approach is consistent with the National Institute on Aging Health Disparities Research Framework.

Transcreation: an implementation science framework for community-engaged behavioral interventions to reduce health disparities.

BACKGROUND: Methods for translating evidence-based behavioral interventions into real-world settings seldom account for the special issues in reaching health disparity populations. MAIN TEXT: The objective of this article is to describe an innovative "transcreational" framework for designing and delivering interventions in communities to reduce health disparities. We define transcreation as the process of planning, delivering, and evaluating interventions so that they resonate with the community experiencing health disparities, while achieving intended health outcomes. The Transcreation Framework for Community-engaged Behavioral Interventions to Reduce Health Disparities comprises seven steps: 1) identify community infrastructure and engage partners; 2) specify theory; 3) identify multiple inputs for new program; 4) design intervention prototype; 5) design study, methods, and measures for community setting; 6) build community capacity for delivery; and 7) deliver transcreated intervention and evaluate implementation processes. Communities are engaged from the start and interventions are delivered by community-based interventionists and tested in community settings. The framework applies rigorous scientific methods for evaluating program effectiveness and implementation processes. It incorporates training and ongoing technical assistance to assure treatment fidelity and build community capacity. CONCLUSIONS: This framework expands the types of scientific evidence used and balances fidelity to evidence and fit to the community setting. It can guide researchers and communities in developing and testing behavioral interventions to reduce health disparities that are likely to be sustained because infrastructure development is embedded in the research.

Cancer Health Literacy Test-30-Spanish (CHLT-30-DKspa), a New Spanish-Language Version of the Cancer Health Literacy Test (CHLT-30) for Spanish-Speaking Latinos.

This article describes the adaptation and initial validation of the Cancer Health Literacy Test (CHLT) for Spanish speakers. A cross-sectional field test of the Spanish version of the CHLT (CHLT-30-DKspa) was conducted among healthy Latinos in Louisiana. Diagonally weighted least squares was used to confirm the factor structure. Item response analysis using 2-parameter logistic estimates was used to identify questions that may require modification to avoid bias. Cronbach's alpha coefficients estimated scale internal consistency reliability. Analysis of variance was used to test for significant differences in CHLT-30-DKspa scores by gender, origin, age and education. The mean CHLT-30-DKspa score (N = 400) was 17.13 (range = 0-30, SD = 6.65). Results confirmed a unidimensional structure, χ(2)(405) = 461.55, p = .027, comparative fit index = .993, Tucker-Lewis index = .992, root mean square error of approximation = .0180. Cronbach's alpha was .88. Items Q1-High Calorie and Q15-Tumor Spread had the lowest item-scale correlations (.148 and .288, respectively) and standardized factor loadings (.152 and .302, respectively). Items Q19-Smoking Risk, Q8-Palliative Care, and Q1-High Calorie had the highest item difficulty parameters (difficulty = 1.12, 1.21, and 2.40, respectively). Results generally support the applicability of the CHLT-30-DKspa for healthy Spanish-speaking populations, with the exception of 4 items that need to be deleted or revised and further studied: Q1, Q8, Q15, and Q19.