Design and Analytic Methods to Evaluate Multilevel Interventions to Reduce Health Disparities: Rigorous Methods Are Available.

In June 2022, the NIH Office of Disease Prevention (ODP) issued a Call for Papers for a Supplemental Issue to Prevention Science on Design and Analytic Methods to Evaluate Multilevel Interventions to Reduce Health Disparities. ODP sought to bring together current thinking and new ideas about design and analytic methods for studies aimed at reducing health disparities, including strategies for balancing methodological rigor with design feasibility, acceptability, and ethical considerations. ODP was particularly interested in papers on design and analytic methods for parallel group- or cluster-randomized trials (GRTs), stepped-wedge GRTs, group-level regression discontinuity trials, and other methods appropriate for evaluating multilevel interventions. In this issue, we include 12 papers that report new methods, provide examples of strong applications of existing methods, or provide guidance on developing multilevel interventions to reduce health disparities. These papers provide examples showing that rigorous methods are available for the design and analysis of multilevel interventions to reduce health disparities.

Racial and Ethnic Composition of Departments of Health Policy & Management and Health Education & Behavioral Sciences.

The diversity of racial/ethnic representation in the health services and policy research (HSPR) workforce plays a crucial role in addressing the health needs of underserved populations. We assessed changes (between 2012 and 2022) in the racial/ethnic composition of students and faculty from departments of Health Policy & Management (HPM) and Health Education & Behavioral Sciences (HEBS) among the Association of Schools and Programs of Public Health member institutions. We analyzed annual data from over 40 institutions that reported student and faculty data in 2012 and 2022 within each department. Racial/ethnic populations included American Indian/Alaska Native (AI/AN), Asian, Hispanic, Native Hawaiian/Pacific Islander (NH/PI), Black, White, Unknown, and Multiracial. We conducted analyses by department and examined racial/ethnic composition by student status, degree level, faculty rank, and tenure status. We found statistically significant increases in Black assistant professors (HPM and HEBS) and tenured faculty (HPM), Hispanic graduates and tenure-track faculty (HPM), Asian professors (HPM: full and tenured, HEBS: associate and tenured), and Multiracial students and graduates (HPM and HEBS). Statistically significant decreases were observed in White professors (HPM: assistant and full, HEBS: all ranks) and tenure-track faculty (HPM and HEBS), AI/AN associate professors and tenured faculty (HEBS), Hispanic associate professors (HPM), Asian assistant professors (HEBS), and NH/PI students (HPM and HEBS). Our findings highlight the importance of increasing racial/ethnic representation. Strategies to achieve this include facilitating workshops to raise awareness about the structural barriers encountered by Hispanic faculty, providing research support, evaluating promotion processes, establishing more pathway programs, and fostering interdisciplinary academic environments studying AI/AN or NH/PI populations.

Associations between subjective social status and predictors of interest in genetic testing among women diagnosed with breast cancer at a young age.

PURPOSE: Genetic testing for gene mutations which elevate risk for breast cancer is particularly important for women diagnosed at a young age. Differences remain in access and utilization to testing across social groups, and research on the predictors of interest in genetic testing for women diagnosed at a young age is limited. METHODS: We examined the relationships between subjective social status (SSS) and variables previously identified as possible predictors of genetic testing, including genome sequencing knowledge, genetic worry, cancer worry, health consciousness, decision-making preferences, genetic self-efficacy, genetic-related beliefs, and subjective numeracy, among a cohort of women who were diagnosed with breast cancer at a young age. RESULTS: In this sample (n = 1,076), those who had higher SSS had significantly higher knowledge about the limitations of genome sequencing (Odds Ratio (OR) = 1.11; 95% CI = 1.01-1.21) and significantly higher informational norms (OR = 1.93; 95% CI = 1.19-3.14) than those with lower SSS. Similarly, education (OR = 2.75; 95% CI = 1.79-4.22), health status (OR = 2.18; 95% CI = 1.44-3.31) were significant predictors among higher SSS women compared to lower SSS women in our multivariate analysis. Lower SSS women with low self-reported income (OR = 0.13; 95% CI = 0.08-0.20) had lower odds of genetic testing interest. Our results are consistent with some prior research utilizing proxy indicators for socioeconomic status, but our research adds the importance of using a multidimensional indicator such as SSS to examine cancer and genetic testing predictor outcomes. CONCLUSION: To develop interventions to improve genetic knowledge, researchers should consider the social status and contexts of women diagnosed with breast cancer at a young age (or before 40 years old) to ensure equity in the distribution of genetic testing benefits.

Love after lockup: examining the role of marriage, social status, and financial stress among formerly incarcerated individuals.

BACKGROUND: Upon reintegration into society, formerly incarcerated individuals (FIIs) experience chronic financial stress due to prolonged unemployment, strained social relationships, and financial obligations. This study examined whether marriage and perceived social status can mitigate financial stress, which is deleterious to the well-being of FIIs. We also assessed whether sociodemographic factors influenced financial stress across marital status. We used cross-sectional data from 588 FIIs, collected in the 2023 Survey of Racism and Public Health. The financial stress outcome (Cronbach's [Formula: see text] = 0.86) comprised of five constructs: psychological distress, financial anxiety, job insecurity, life satisfaction, and financial well-being. Independent variables included marital and social status, age, race/ethnicity, gender identity, educational attainment, employment status, and number of dependents. Multivariable models tested whether financial stress levels differed by marital and perceived social status (individual and interaction effects). Stratified multivariable models assessed whether social status and sociodemographic associations varied by marital status. RESULTS: We found that being married/living with a partner (M/LWP, b = -5.2) or having higher social status (b = -2.4) were protective against financial stress. Additionally, the social status effect was more protective among divorced, separated, or widowed participants (b = -2.5) compared to never married (NM, b = -2.2) and M/LWP (b = -1.7) participants. Lower financial stress correlated with Black race and older age, with the age effect being more pronounced among M/LWP participants (b = -9.7) compared to NM participants (b = -7.3). Higher financial stress was associated with woman gender identity (overall sample b = 2.9, NM sample b = 5.1), higher education (M/LWP sample b = 4.4), and having two or more dependents (overall sample b = 2.3, M/LWP sample b = 3.4). CONCLUSIONS: We provide novel insights into the interrelationship between marriage, perceived social status, and financial stress among FIIs. Our findings indicate the need for policies and programs which may target the family unit, and not only the individual, to help alleviate the financial burden of FIIs. Finally, programs that offer legal aid to assist in expungement or sealing of criminal records or those offering opportunities for community volunteer work in exchange for vouchers specific to legal debt among FIIs could serve to reduce financial stress and improve social standing.

Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own.

OBJECTIVE: This study aimed to 1) investigate algorithm enhancements for identifying patients eligible for genetic testing of hereditary cancer syndromes using family history data from electronic health records (EHRs); and 2) assess their impact on relative differences across sex, race, ethnicity, and language preference. MATERIALS AND METHODS: The study used EHR data from a tertiary academic medical center. A baseline rule-base algorithm, relying on structured family history data (structured data; SD), was enhanced using a natural language processing (NLP) component and a relaxed criteria algorithm (partial match [PM]). The identification rates and differences were analyzed considering sex, race, ethnicity, and language preference. RESULTS: Among 120,007 patients aged 25-60, detection rate differences were found across all groups using the SD (all P < 0.001). Both enhancements increased identification rates; NLP led to a 1.9 % increase and the relaxed criteria algorithm (PM) led to an 18.5 % increase (both P < 0.001). Combining SD with NLP and PM yielded a 20.4 % increase (P < 0.001). Similar increases were observed within subgroups. Relative differences persisted across most categories for the enhanced algorithms, with disproportionately higher identification of patients who are White, Female, non-Hispanic, and whose preferred language is English. CONCLUSION: Algorithm enhancements increased identification rates for patients eligible for genetic testing of hereditary cancer syndromes, regardless of sex, race, ethnicity, and language preference. However, differences in identification rates persisted, emphasizing the need for additional strategies to reduce disparities such as addressing underlying biases in EHR family health information and selectively applying algorithm enhancements for disadvantaged populations. Systematic assessment of differences in algorithm performance across population subgroups should be incorporated into algorithm development processes.

The measurement of racism in health inequities research.

There is limited literature on the measures and metrics used to examine racism in the health inequities literature. Health inequities research is continuously evolving, with the number of publications increasing over time. However, there is limited knowledge on the best measures and methods to examine the impact of different levels of racism (institutionalized, personally mediated, and internalized) on health inequities. Advanced statistical methods have the potential to be used in new ways to examine the relationship between racism and health inequities. In this review, we conduct a descriptive examination of the measurement of racism in the health inequities epidemiologic literature. We examine the study design, methods used for analysis, types of measures used (e.g., composite, absolute, relative), number of measures used, phase of research (detect, understand, solutions), viewpoint (oppressor, oppressed), and components of structural racism measures (historical context, geographical context, multifaceted nature). We discuss methods (e.g., Peters-Belson, latent class analysis, difference in differences) that have demonstrated potential for future work. The articles reviewed were limited to the detect (25%) and understand (75%) phases, with no studies in the solutions phase. Although the majority (56%) of studies had cross-sectional designs, many authors pointed to the need for longitudinal and multilevel data for further exploration. We examined study design features as mutually exclusive elements. However, racism is a multifaceted system and the measurement of racism in many studies does not fit into a single category. As the literature grows, the significance of methodological and measurement triangulation to assess racism should be investigated.

Investigation of interest in and timing preference for cancer predisposition testing and expanded carrier screening among women of reproductive age.

Objective: To examine cognitive, relational, and social predictors of interest in and timing preference for cancer predisposition testing (CPT) and expanded carrier screening (ECS) offered in routine gynecologic care for women of reproductive age. Methods: Women between 20 and 35 years old who were currently pregnant or had a prior pregnancy (N = 351) completed an online survey. Bivariate and multivariable analyses were used to identify significant predictors of women's interest in and timing preference for CPT and ECS. Results: Most respondents reported high interest in CPT and ECS and preferred to have them when planning for a pregnancy. Perceived importance of genetic information and negative attitude towards uncertainty predicted interest in CPT and ECS in multivariable models. Genetic knowledge predicted preference for CPT or ECS when planning for a pregnancy. Conclusion: Educational and decision support tools should be developed to enhance women's knowledge and awareness of CPT and ECS and to provide them with strategies to manage uncertainty. Innovation: We examined women's timing preference for CPT and ECS and the impact of partner support and trust with gynecologist. A context-specific attitudes toward uncertainty scale was used to investigate women's particular perceptions of uncertainty in genetic testing.

Attitudes and beliefs regarding race-targeted genetic testing of Black people: A systematic review.

Geographical ancestry has been associated with an increased risk of various genetic conditions. Race and ethnicity often have been used as proxies for geographical ancestry. Despite numerous problems associated with the crude reliance on race and ethnicity as proxies for geographical ancestry, some genetic testing in the clinical, research, and employment settings has been and continues to be race- or ethnicity-based. Race-based or race-targeted genetic testing refers to genetic testing offered only or primarily to people of particular racial or ethnic groups because of presumed differences among groups. One current example is APOL1 testing of Black kidney donors. Race-based genetic testing raises numerous ethical and policy questions. Given the ongoing reliance on the Black race in genetic testing, it is important to understand the views of people who identify as Black or are identified as Black (including African American, Afro-Caribbean, and Hispanic Black) regarding race-based genetic testing that targets Black people because of their race. We conducted a systematic review of studies and reports of stakeholder-engaged projects that examined how people who identify as or are identified as Black perceive genetic testing that specifically presumes genetic differences exist among racial groups or uses race as a surrogate for ancestral genetic variation and targets Black people. Our review identified 14 studies that explicitly studied this question and another 13 that implicitly or tacitly studied this matter. We found four main factors that contribute to a positive attitude toward race-targeted genetic testing (facilitators) and eight main factors that are associated with concerns regarding race-targeted genetic testing (barriers). This review fills an important gap. These findings should inform future genetic research and the policies and practices developed in clinical, research, public health, or other settings regarding genetic testing.

Predictors of Women's Intentions to Communicate Updated Genetic Test Results to Immediate and Extended Family Members.

INTRODUCTION: Many individuals who previously received negative genetic test results are eligible for updated testing. This study examined intention to communicate updated genetic test results to relatives in participants who previously received negative genetic test results. METHODS: Women with a personal or family history of breast or ovarian cancer who tested negative for BRCA1/2 before 2013 were enrolled between April 2018 and October 2019. Proportions were calculated to assess intention to communicate updated genetic test results to living immediate family, extended family, and all family. Potential predictors of intentions from the theory of planned behavior (attitudes, subjective norms, perceived behavioral control) were assessed. The three outcomes were analyzed using generalized linear models with a quasi-binomial probability distribution. RESULTS: 110 women completed the baseline assessment prior to updated testing. Participants intended to communicate genetic test results to 90% of immediate family, 51% of extended family, and 66% of all living relatives. Participants with higher subjective norms (aOR = 1.93, 95% CI: 1.08-3.57) had higher intentions to communicate genetic test results to extended family, while participants with more positive attitudes (aOR = 1.27, 95% CI: 1.01-1.60) had higher intentions to communicate to all family. Placing higher importance on genetic information was associated with higher intentions to communicate to immediate family (aOR = 1.40, 95% CI: 1.06-1.83). Lower subjective numeracy was associated with higher intentions to communicate to extended family (aOR = 0.50, 95% CI: 0.32-0.76). CONCLUSION: Attitudes and subjective norms were predictors of intention to communicate updated genetic information to at-risk biological relatives, and predictors may vary by degree of relationship.

Racial and Ethnic Composition of Students, Graduates, and Faculty in Environmental Health Sciences, 2011 to 2021.

The lack of diversity among the environmental health sciences (EHS) workforce has been an ongoing concern. However, limited research exists on the racial and ethnic composition of EHS students and faculty over time. We analyzed 2011 and 2021 data on EHS students, graduates, and faculty to compare changes in the racial and ethnic composition among Association of Schools and Programs of Public Health-member institutions. Among the institutions that reported data in both years, we observed significant proportion increases among Hispanic enrolled students (overall and master's: both P = .01), Multiracial enrolled students and graduates (overall: both P < .05, master's level: both P < .05), and Asian tenured professors (P = .01). Significant decreases were observed among Unknown enrolled students (overall: P = .01, master's level: P < .001), Unknown master's level graduates (P = .01), AI/AN enrolled students (overall and master's: both P < .05), and White full professors (P < .001) and tenured faculty (P < .001). Despite these findings, no substantial change existed among the other racial and ethnic groups. More efforts are needed to recruit, train, and promote racial and ethnic minorities who can leverage their lived experiences to provide novel solutions to environmental challenges.

Racial and Ethnic Diversity Among Students, Graduates, and Faculty in Biostatistics and Epidemiology, 2010-2020.

OBJECTIVE: This study is a follow-up to a study in 2020 that reviewed changes in the racial and ethnic composition of public health students, graduates, and faculty among Association of Schools and Programs of Public Health (ASPPH)-member institutions. In the current study, we evaluated how the racial and ethnic composition among biostatistics and epidemiology students, graduates, and faculty changed from 2010 to 2020. METHODS: We analyzed data on race and ethnicity of enrolled graduate students, graduates (master's and doctoral), and faculty at ASPPH-member institutions by using institutionally reported data from the ASPPH Data Center. We tabulated frequencies, percentages, and percentage-point changes by race and ethnicity. We measured differences between groups by using a test for difference in 2 proportions. RESULTS: The number of enrolled students, graduates, and faculty in all departments increased during the study period, while the number of tenure-track faculty in biostatistics decreased. The percentage of enrolled Hispanic/Latino biostatistics graduate students increased from 5.6% in 2010 to 10.2% in 2020 (P = .007), and the percentage of epidemiology graduates increased from 8.8% to 13.8% (P = .008). We found no differences among other underrepresented racial and ethnic groups. Most biostatistics and epidemiology professors at all ranks were non-Hispanic White, despite substantial decreases. The percentage of underrepresented racial and ethnic minority biostatistics and epidemiology professors was constant across all ranks. CONCLUSION: Although more Hispanic/Latino students are enrolled in and graduating from biostatistics and epidemiology departments at ASPPH-member institutions, we found no change among faculty. More work is needed to recruit and retain other (American Indian/Alaska Native, Black or African American, Native Hawaiian/Other Pacific Islander) underrepresented students and faculty.

Barriers to family history collection among Spanish-speaking primary care patients: a BRIDGE qualitative study.

Objectives: Family history is an important tool for assessing disease risk, and tailoring recommendations for screening and genetic services referral. This study explored barriers to family history collection with Spanish-speaking patients. Methods: This qualitative study was conducted in two US healthcare systems. We conducted semi-structured interviews with medical assistants, physicians, and interpreters with experience collecting family history for Spanish-speaking patients. Results: The most common patient-level barrier was the perception that some Spanish-speaking patients had limited knowledge of family history. Interpersonal communication barriers related to dialectical differences and decisions about using formal interpreters vs. Spanish-speaking staff. Organizational barriers included time pressures related to using interpreters, and ad hoc workflow adaptations for Spanish-speaking patients that might leave gaps in family history collection. Conclusions: This study identified multi-level barriers to family history collection with Spanish-speaking patients in primary care. Findings suggest that a key priority to enhance communication would be to standardize processes for working with interpreters. Innovation: To improve communication with and care provided to Spanish-speaking patients, there is a need to increase healthcare provider awareness about implicit bias, to address ad hoc workflow adjustments within practice settings, to evaluate the need for professional interpreter services, and to improve digital tools to facilitate family history collection.

Association of Disparities in Family History and Family Cancer History in the Electronic Health Record With Sex, Race, Hispanic or Latino Ethnicity, and Language Preference in 2 Large US Health Care Systems.

Importance: Clinical decision support (CDS) algorithms are increasingly being implemented in health care systems to identify patients for specialty care. However, systematic differences in missingness of electronic health record (EHR) data may lead to disparities in identification by CDS algorithms. Objective: To examine the availability and comprehensiveness of cancer family history information (FHI) in patients' EHRs by sex, race, Hispanic or Latino ethnicity, and language preference in 2 large health care systems in 2021. Design, Setting, and Participants: This retrospective EHR quality improvement study used EHR data from 2 health care systems: University of Utah Health (UHealth) and NYU Langone Health (NYULH). Participants included patients aged 25 to 60 years who had a primary care appointment in the previous 3 years. Data were collected or abstracted from the EHR from December 10, 2020, to October 31, 2021, and analyzed from June 15 to October 31, 2021. Exposures: Prior collection of cancer FHI in primary care settings. Main Outcomes and Measures: Availability was defined as having any FHI and any cancer FHI in the EHR and was examined at the patient level. Comprehensiveness was defined as whether a cancer family history observation in the EHR specified the type of cancer diagnosed in a family member, the relationship of the family member to the patient, and the age at onset for the family member and was examined at the observation level. Results: Among 144 484 patients in the UHealth system, 53.6% were women; 74.4% were non-Hispanic or non-Latino and 67.6% were White; and 83.0% had an English language preference. Among 377 621 patients in the NYULH system, 55.3% were women; 63.2% were non-Hispanic or non-Latino, and 55.3% were White; and 89.9% had an English language preference. Patients from historically medically undeserved groups-specifically, Black vs White patients (UHealth: 17.3% [95% CI, 16.1%-18.6%] vs 42.8% [95% CI, 42.5%-43.1%]; NYULH: 24.4% [95% CI, 24.0%-24.8%] vs 33.8% [95% CI, 33.6%-34.0%]), Hispanic or Latino vs non-Hispanic or non-Latino patients (UHealth: 27.2% [95% CI, 26.5%-27.8%] vs 40.2% [95% CI, 39.9%-40.5%]; NYULH: 24.4% [95% CI, 24.1%-24.7%] vs 31.6% [95% CI, 31.4%-31.8%]), Spanish-speaking vs English-speaking patients (UHealth: 18.4% [95% CI, 17.2%-19.1%] vs 40.0% [95% CI, 39.7%-40.3%]; NYULH: 15.1% [95% CI, 14.6%-15.6%] vs 31.1% [95% CI, 30.9%-31.2%), and men vs women (UHealth: 30.8% [95% CI, 30.4%-31.2%] vs 43.0% [95% CI, 42.6%-43.3%]; NYULH: 23.1% [95% CI, 22.9%-23.3%] vs 34.9% [95% CI, 34.7%-35.1%])-had significantly lower availability and comprehensiveness of cancer FHI (P < .001). Conclusions and Relevance: These findings suggest that systematic differences in the availability and comprehensiveness of FHI in the EHR may introduce informative presence bias as inputs to CDS algorithms. The observed differences may also exacerbate disparities for medically underserved groups. System-, clinician-, and patient-level efforts are needed to improve the collection of FHI.

Construct validation of the Research Engagement Survey Tool (REST).

BACKGROUND: The Research Engagement Survey Tool (REST) was developed to examine the level of partner (e.g., patients, caregivers, advocates, clinicians, community members) engagement in research studies. The REST is aligned with eight engagement principles based on the literature and consensus reached through a five round Delphi process. Each of the engagement principles has three-five corresponding items that are assessed on two Likert type scales quantity (how often: never, rarely, sometimes, often, always, not applicable) and quality (how well: poor, fair, good, very good, excellent, not applicable). We conducted a comprehensive validation of the REST. Despite the importance of partner engagement in research, currently no gold standard measure exists. METHODS: Multiple strategies were employed to validate the REST. Here, we examine the internal consistency of items for each of the eight engagement principles. In addition, we examine the convergent validity of the comprehensive (32-item) REST with other measures (e.g., medical mistrust, Community Engagement in Research Index, Partnership Self-Assessment Tool, Wilder collaboration inventory, Partnership Assessment In community-based Research). We propose two scoring approaches for the REST; one aligned with the engagement principles and the other aligned with levels of community engagement: (1) outreach and education, (2) consultation, (3) cooperation, (4) collaboration, and (5) partnership. RESULTS: The REST has strong internal consistency (Cronbach's alpha > 0.75) for each of the eight engagement principals measured on both scales (quality and quantity). The REST had negligible (e.g., medical mistrust, community engagement in research index), low (e.g., Partnership Assessment In community-based Research, Partnership Self-Assessment Tool- benefits scale), and moderate (e.g., Wilder collaboration inventory, Partnership Self-Assessment Tool- synergy scale) statistically significant correlations with other measures based on the Spearman rank correlation coefficient. These results suggest the REST is measuring something similar and correlated to the existing measures, but it captures a different construct (perceived research engagement). CONCLUSIONS: The REST is a valid and reliable tool to assess research engagement of community health stakeholders in the research process. Valid tools to assess research engagement are necessary to examine the impact of engagement on the scientific process and scientific discovery and move the field of stakeholder engagement from best practices and lessons learned to evidence-based approaches based on empirical data.

Researchers often conduct studies with partners (e.g., patients, caregivers, advocates, clinicians, community members) who also have an interest in the research topic. Depending on the research study the level of partner engagement in the research process may be high or low. Partners may be involved from the beginning including determining what topic to study and what questions the study should examine. They may suggest who should be included in the study, the geographic area of focus, and the outcome measures to be examined. In addition, they may help recruit study participants, interpret study results, and plan for how to share the results with those that need to know. No standard way exists to find out how involved a partner has been in a study from the partner's perspective. Here we develop and validate survey questions to measure the level of partner engagement in research studies. We looked at existing survey questions used to measure similar topics to make sure that a person who takes the survey gets consistent scores. We tested the survey with community health stakeholders (e.g., patients, caregivers, advocates, clinicians, community members) who are research partners for studies at universities across the United States. Over 2 years, the partners took different versions of the survey online four times. We used the data we collected from each survey to revise the questions and make sure that it measures partner involvement accurately and reliably. The Research Engagement Survey Tool (REST) has 32 questions to examine eight engagement principles on two scales: quantity (how much) and quality (how well). The REST is a valid and reliable tool to examine partner engagement in research.

Copycat and lookalike edible cannabis product packaging in the United States.

BACKGROUND: Recent media reports have highlighted copycat/lookalike cannabis edibles as a public health concern. No empirical papers have described this phenomenon. METHODS: From May 2020-August 2021, we collected photos of cannabis products via an online survey of cannabis users and through personal contacts. Copycat/lookalike products are defined as those that use the same or similar brand name, logo, and/or imagery as an existing commercial non-cannabis counterpart (CNCC). We assessed each package for similarities with its CNCC with respect to brand name, product name, font, color, flavors, and brand/promotional characters. We examined cannabis content indicators including: THC content per package and serving, cannabis leaf symbol, product warnings, cannabis terms, cannabis motifs, activation time, and guidance on edible use. RESULTS: We collected photos of 731 cannabis products; 267 (36%) were edibles of which 22 (8%) represented 13 unique copycat/lookalike products. Eight used exact brand/product names as existing CNCCs, and five used similar names. Packages copied or imitated a mean of 3.9 of six features and indicated cannabis content with a mean of 4.1 of eight features. Thirteen packages indicated a mean THC content of 459 mg/package. Four reported THC dose per serving, with a mean dose of 47.5 mg. CONCLUSIONS: Our content analysis highlights three key concerns. First, copycat/lookalike edibles subtly indicate cannabis content while using high fidelity replication or imitation of their CNCC. Second, THC content is high and there were multiple 10 mg THC doses in the equivalent of 1 serving of a CNCC. Third, these products may be attractive to children.