"They Don't Care If We Live or Die": A Qualitative Analysis Examining the US Immigration System's Treatment of Undocumented Communities during the COVID-19 Pandemic.

Historically, the US immigration system (ie, institutions, agencies, and laws) has served the goals and principles of white supremacy through its treatment of globally displaced people and this appears to have continued through the COVID pandemic. Yet, the implications for immigrant health are not routinely addressed in mainstream public health discourse, and especially so in regard to public health disasters. This study conducted a series of focus groups with participants from social justice organizations working with immigrants, migrants, undocumented persons, refugees, persons seeking asylum, and persons detained in immigration jails to collect stories on how the immigration system undermined efforts to control the spread of COVID-19 and exacerbated health inequity within immigrant jails and across related community contexts during the pandemic. Focus groups were conducted to explore issues related to immigrants and immigration detention during the COVID-19 pandemic. There was a total of N=14 participants across the 4 focus groups with a dedicated focus group on perspectives of Black immigrants/from Black immigrant organizations only. Each focus group consisted of 3 to 4 participants. Five key themes emerged: 1) dehumanization of immigrants and migrants and devaluation of their lives; 2) inhumane conditions of confinement that propagate risk of disease; 3) denial of resources for COVID-19 prevention and mitigation; 4) expansion of intersecting oppressive systems; and 5) community-based resistance and mobilization against immigration policies and enforcement. Our findings highlight the harms from policing, criminalization, and exclusion that racialized communities face as a result of the (in)actions within the immigration system during a public health disaster including the COVID context.

Realist Approach to Social Policies (RASP) study to reduce socioeconomic health inequalities through systems change: protocol for a research project combining mixed-methods realist research with institutional action research.

INTRODUCTION: Health inequalities are rooted in inequality in vital resources for health, including financial resources, a supportive informal network, a stable living situation, work or daytime activities or education and literacy. About 25% of Dutch citizens experience deprivation of such resources. Social policy consists of crucial instruments for improving resources in those groups but can also have adverse effects and lead to additional burdens. This project aims to contribute to the reduction of health inequalities through (1) a better understanding of how social policy interventions can contribute to reducing health inequality through the redistribution of burdens and resources and (2) developing anticipatory governance strategies to implement those insights, contributing to a change in social policy systems. METHODS AND ANALYSIS: Two systems approaches are combined for establishing a systems change in the Netherlands. First, a realist approach enables insights into what in social policy interventions may impact health outcomes, for whom and under what circumstances. Second, an institutional approach enables scaling up these insights, by acknowledging the crucial role of institutional actors for accomplishing a systems change. Together with stakeholders, we perform a realist review of the literature and identify existing promising social policy interventions. Next, we execute mixed-methods realist evaluations of selected social policy interventions in seven municipalities, ranging from small, mid-size to large, and in both urban and rural settings. Simultaneously, through action research with (national) institutional actors, we facilitate development of anticipatory governance strategies. ETHICS AND DISSEMINATION: This study is not liable to the Medical Research Involving Subjects Act (WMO). Informed consent to participate in the study is obtained from participants for the use of all forms of personally identifiable data. Dissemination will be codeveloped with target populations and includes communication materials for citizens, education materials for students, workshops, infographics and decision tools for policy-makers and publications for professionals.

The impact of an innovative payment method on medical expenditure, efficiency, and quality for inpatients with different types of medical insurance: evidence from a pilot city, China.

BACKGROUND: Since 2020, China has implemented an innovative payment method called Diagnosis-Intervention Packet (DIP) in 71 cities nationwide. This study aims to assess the impact of DIP on medical expenditure, efficiency, and quality for inpatients covered by the Urban Employee Basic Medical Insurance (UEBMI) and Urban and Rural Residents Basic Medical Insurance (URRBMI). It seeks to explore whether there are differences in these effects among inpatients of the two insurance types, thereby further understanding its implications for health equity. MATERIALS AND METHODS: We conducted interrupted time series analyses on outcome variables reflecting medical expenditure, efficiency, and quality for both UEBMI and URRBMI inpatients, based on a dataset comprising 621,125 inpatient reimbursement records spanning from June 2019 to June 2023 in City A. This dataset included 110,656 records for UEBMI inpatients and 510,469 records for URRBMI inpatients. RESULTS: After the reform, the average expenditure per hospital admission for UEBMI inpatients did not significantly differ but continued to follow an upward pattern. In contrast, for URRBMI inpatients, the trend shifted from increasing before the reform to decreasing after the reform, with a decline of 0.5%. The average length of stay for UEBMI showed no significant changes after the reform, whereas there was a noticeable downward trend in the average length of stay for URRBMI. The out-of-pocket expenditure (OOP) per hospital admission, 7-day all-cause readmission rate and 30-day all-cause readmission rate for both UEBMI and URRBMI inpatients showed a downward trend after the reform. CONCLUSION: The DIP reform implemented different upper limits on budgets based on the type of medical insurance, leading to varying post-treatment prices for UEBMI and URRBMI inpatients within the same DIP group. After the DIP reform, the average expenditure per hospital admission and the average length of stay remained unchanged for UEBMI inpatients, whereas URRBMI inpatients experienced a decrease. This trend has sparked concerns about hospitals potentially favoring UEBMI inpatients. Encouragingly, both UEBMI and URRBMI inpatients have seen positive outcomes in terms of alleviating patient financial burdens and enhancing the quality of care.

Differential impacts of health systems and sociocultural environment on vulnerable populations during the COVID-19 pandemic: lessons from four Asia-Pacific countries.

BACKGROUND: This study aims to evaluate healthcare systems and pandemic responses in relation to marginalized and vulnerable groups, identify populations requiring urgent care, and assess the differential impacts on their health during the pandemic. METHODS: Data were collected by the Asia-Pacific Observatory on Health Systems and Policies (APO)-National University of Singapore and APO-International Health Policy Program consortium members: Korea, Indonesia, Philippines, and Singapore. Data were collected through a combination of semi-structured interviews, policy document reviews, and analysis of secondary data. RESULTS: Our findings reveal that the pandemic exacerbated existing health disparities, particularly affecting older adults, women, and children. Additionally, the study identified LGBTI individuals, healthcare workers, slum dwellers, and migrant workers as groups that faced particularly severe challenges during the pandemic. LGBTI individuals encountered heightened discrimination and limited access to health services tailored to their needs. Healthcare workers suffered from immense stress and risk due to prolonged exposure to the virus and critical working conditions. Slum dwellers struggled with healthcare access and social distancing due to high population density and inadequate sanitation. Migrant workers were particularly hard hit by high risks of virus transmission and stringent, often discriminatory, isolation measures that compounded their vulnerability. The study highlights the variation in the extent and nature of vulnerabilities, which were influenced by each country's specific social environment and healthcare infrastructure. It was observed that public health interventions often lacked the specificity required to effectively address the needs of all vulnerable groups, suggesting a gap in policy and implementation. CONCLUSIONS: The study underscores that vulnerabilities vary greatly depending on the social environment and context of each country, affecting the degree and types of vulnerable groups. It is critical that measures to ensure universal health coverage and equal accessibility to healthcare are specifically designed to address the needs of the most vulnerable. Despite commonalities among groups across different societies, these interventions must be adapted to reflect the unique characteristics of each group within their specific social contexts to effectively mitigate the impact of health disparities.

Cross-sectional patterns and longitudinal transitions of unflavored and flavored cigar use without and with cigarettes among United States adults.

INTRODUCTION: Over half of US adults who smoke cigars use flavored cigars, illustrating their broad appeal; however, their long-term impact on cigar and cigarette use is unknown. METHODS: Using restricted data from Waves 1-5 (2013-2019) of the Population Assessment of Tobacco and Health Study, we investigated cross-sectional patterns and longitudinal transition rates of unflavored and flavored cigar use with and without cigarettes among a nationally representative sample of US adults. RESULTS: Proportionally, more adults who used flavored cigars without or with cigarettes were younger and female. More adults with exclusive cigar use were non-Hispanic Black. More adults with dual use had lower educational attainment. The median number of cigars smoked daily and tobacco dependence was highest among adults who used flavored cigars with cigarettes. Only 14.6% of adults with exclusive flavored cigar use at Wave 1 continued their use to Wave 5, with most transitioning to non-current (46.4%) or exclusive cigarette use (22.9%). Likewise, 13.8% of adults with dual flavored cigar and cigarette use at Wave 1 continued their use to Wave 5, with 57.6% transitioning to exclusive cigarette use and 19.7% transitioning to non-current use. Comparatively, 72.9% of adults with exclusive cigarette use continued their use to Wave 5, while 23.6% transitioned to non-current use. CONCLUSION: Adult cigar use was less stable than cigarette use, particularly among those who use flavored cigars. Future research should investigate whether these transition patterns between flavored and unflavored cigar and cigarette use vary across sociodemographic groups and their potential long-term health implications.

Critical Success Factors for Intersectoral Collaboration: Homelessness and COVID-19 - Case Studies and Learnings from an Australian City.

Introduction: The COVID-19 pandemic disproportionally impacted people experiencing homelessness, including people sleeping rough, people in temporary accommodation and those living in boarding houses. This paper reports on intersectoral responses across six health and social care agencies in Inner Sydney, New South Wales, Australia. Prior to the pandemic the six agencies had established an Intersectoral Homelessness Health Strategy (IHHS), in recognition of the need for intersectoral collaboration to address the complex health needs of people experiencing homelessness. Description: The governance structure of the IHHS provided a platform for several innovative intersectoral responses to the pandemic. A realist informed framework was used to select, describe, and analyse case studies of intersectoral collaboration. Discussion: The resultant six critical success factors (trust, shared ways of working, agile collaboration, communication mechanisms, authorising environment, and sustained momentum), align with the existing literature that explores effective intersectoral collaboration in complex health or social care settings. This paper goes further by describing intersectoral collaboration 'in action', setting a strong foundation for future collaborative initiatives. Conclusion: While there is no single right approach to undertaking intersectoral collaboration, which is highly context specific, the six critical success factors identified could be applied to other health issues where dynamic collaboration and integration of healthcare is needed.

Cancer in Sexual and Gender Minorities: Role of Oncology RNs in Health Equity.

Despite comprising almost 8% of the population of the United States, sexual and gender minority (SGM) patients with cancer experience health inequities with poorer outcomes than non-SGM patients. Although sex-based guidelines.

Nursing's Primary Commitment Embedded in the Quintuple Aim.

Anecdotally, from personal experience as a growing editor and in talking with experienced editors, rejecting evidence-based project manuscripts that do not include patient outcomes is routine. Phrased differently, it is typic.

Who is Anaemic in India? Intersections of class, caste, and gender.

Anaemia severely impacts physical and mental abilities, raises health risks, and diminishes the quality of life and work capacity. It is a leading cause of adverse pregnancy outcomes and maternal mortality, especially in developing nations like India, where recent data on anaemia from National Family and Health Survey (NFHS-4) (2015-16) and NFHS-5 (2019-21) indicate a tremendous rise. Anaemia is a marker of poor nutrition and health, and socio-economic factors such as gender norms, race, income, and living conditions influence its impact. As a result, there are disparities in how anaemia affects different segments of society. However, existing research on health inequity and anaemia often employs a single-axis analytical framework of social power. These studies operate under the assumption that gender, economic class, ethnicity, and caste are inherently distinct and mutually exclusive categories and fail to provide a comprehensive understanding of anaemia prevalence. Therefore, the study has adopted the theoretical framework of intersectionality and analysed the NFHS-5 (2019-21) data using bivariate cross-tabulations and binary logistic regression models to understand how gender, class, caste, and place of residence are associated with the prevalence of anaemia. The results suggest that the women of Scheduled Tribes (ST) and Scheduled Castes (SC) share a disproportionate burden of anaemia. This study confirms that economic class and gender, geographical location, level of education, and body mass index significantly determine the prevalence of anaemia. The ST and SC women who are economically marginalised and reside in rural areas with high levels of poverty, exclusion, and poor nutritional status have a higher prevalence of anaemia than other population groups. Thus, the study suggests that intersections of multiple factors such as caste, class, gender, and place of residence significantly determine 'who is anaemic in India'.

Optimizing clinico-genomic disease prediction across ancestries: a machine learning strategy with Pareto improvement.

BACKGROUND: Accurate prediction of an individual's predisposition to diseases is vital for preventive medicine and early intervention. Various statistical and machine learning models have been developed for disease prediction using clinico-genomic data. However, the accuracy of clinico-genomic prediction of diseases may vary significantly across ancestry groups due to their unequal representation in clinical genomic datasets. METHODS: We introduced a deep transfer learning approach to improve the performance of clinico-genomic prediction models for data-disadvantaged ancestry groups. We conducted machine learning experiments on multi-ancestral genomic datasets of lung cancer, prostate cancer, and Alzheimer's disease, as well as on synthetic datasets with built-in data inequality and distribution shifts across ancestry groups. RESULTS: Deep transfer learning significantly improved disease prediction accuracy for data-disadvantaged populations in our multi-ancestral machine learning experiments. In contrast, transfer learning based on linear frameworks did not achieve comparable improvements for these data-disadvantaged populations. CONCLUSIONS: This study shows that deep transfer learning can enhance fairness in multi-ancestral machine learning by improving prediction accuracy for data-disadvantaged populations without compromising prediction accuracy for other populations, thus providing a Pareto improvement towards equitable clinico-genomic prediction of diseases.

Barriers to primary care among immigrants and refugees in Peterborough, Ontario: a qualitative study of provider perspectives.

BACKGROUND: Canada's immigrants and refugees have often settled in large Canadian cities, but this is changing with rising costs of living and rural settlement initiatives. However, little consideration is made regarding systemic changes needed to accommodate this distribution, particularly in healthcare in medium-sized cities or smaller communities. For most Canadians, primary care is an entry point into the healthcare system but immigrants and refugees face unique barriers to accessing care compared to the general Canadian population. This project aimed to better understand the barriers to accessing primary care among newcomers in Peterborough, Ontario from the perspective of newcomer service providers. METHODOLOGY: Participants were recruited from community organizations identified by the local settlement agency, the New Canadians Centre, as having regular interactions with newcomer clients including clinics, not-for-profit organizations, and volunteer groups. Four focus groups were completed, each with three participants (n=12). A coding grid was deductively developed to guide thematic analysis by adapting Levesque et al.'s conceptual framework defining access to healthcare with five specific dimensions: approachability, acceptability, availability and accommodation, affordability, and appropriateness. RESULTS: Participants identified lack of awareness of the healthcare system, stigma, competing priorities, and direct costs as some of the barriers for newcomers. Participants highlighted barriers unique to Peterborough including proximity to services, social isolation, and a shortage of family physicians. The results also highlighted strengths in the community such as its maternal-child health programming. CONCLUSION: The results provide a glimpse of the challenges to accessing primary care among newcomers in medium-sized communities and identify opportunities to prepare for changing settlement patterns.

Home Health Quality Among Hospitalized Older Adults With Alzheimer's Disease and Related Dementia: Association With Race/Ethnicity and Dual Eligibility Before and During the COVID Pandemic.

OBJECTIVES: During the COVID-19 pandemic, home health agencies (HHAs) discharges following acute hospitalizations increased. This study examined whether racial and ethnic minoritized and socioeconomically disadvantaged patients (ie, Medicare-Medicaid dual-eligible) were differentially discharged to below-average quality HHAs before and during the COVID-19 pandemic. We focused on post-acute patients with Alzheimer's disease and related dementias (ADRD), who are generally frail and have high care needs. DESIGN: Cohort study. SETTING AND PARTICIPANTS: We linked 2019 to 2021 Medicare data with Area Deprivation Index (ADI), Home Health Compare, and COVID-19 infection data. We included Medicare beneficiaries with ADRD who were hospitalized for non-COVID-19 conditions and discharged to HHAs between January 2019 and November 2021. The final analytical sample included 426,766 qualified hospitalization events. METHODS: The outcome variable was whether a patient received care from a below-average quality HHA, defined by an average Quality of Patient Care Star Rating lower than 3.0. Key independent variables included individual race, ethnicity, and Medicare-Medicaid dual status. Linear probability models with county fixed effects were estimated, sequentially adjusting for the individual- and community-level covariates. Sensitivity analysis using various definitions of below-average quality HHAs was conducted. RESULTS: Before the pandemic, Black and Hispanic individuals had significantly higher probabilities of discharge to below-average quality HHAs compared with White individuals (3.4 and 3.9 percentage points, respectively). Dual-eligible individuals were also 2.5 percentage points more likely to be discharged to below-average quality HHAs. During the pandemic, disparities in being discharged to below-average quality HHAs persisted among racial and ethnic minoritized patients and increased among duals. Findings were consistent with and without adjusting for individual covariates and across different definitions of below-average quality HHA. CONCLUSIONS AND IMPLICATIONS: Persistent disparities were observed in being discharged to below-average quality HHAs by race, ethnicity, and dual status. Further research is needed to identify factors contributing to these ongoing inequalities.

A Geospatial Analysis of Barriers to Cleft Lip and Palate Care in the United States.

OBJECTIVE: This study evaluates the geospatial distribution of cleft lip and/or cleft palate (CL/P) care in the United States, assesses disparities between families with and without one-hour proximity to CL/P care, and recommends interventions for improving access. DESIGN: We identified American Cleft Palate Craniofacial Association-approved CL/P teams and calculated a one-hour driving radius around each clinic. We then used census data to compare risk factors for developing cleft (i.e., incidence risk factors) and obstacles to care (i.e., access risk factors) between counties with and without one-hour proximity. RESULTS: We identified 187 CL/P teams in 45 states. Most were in the South (n = 60, 32.0%), though children in the Middle Atlantic had the greatest access to care. Alabama, Mississippi, Tennessee, and Kentucky had the least access. Children without access were 39% more likely to have gestational tobacco exposure, 8% more likely to have gestational obesity exposure, and 28% less likely to have health insurance (p < 0.01). Children without access in the South were 29% more likely to have a low birth weight and 46% more likely to be living below the poverty line (p < 0.01). Children with access were twice as likely to live in immigrant families and 7-times more likely to speak English as a second language. CONCLUSIONS: Pronounced disparities affect patients with and without one-hour access to CL/P care. Interventions should address care costs for patients living furthest without access and language barriers for patients with access that speak English as a second language.

Obsessive-compulsive disorder among individuals of Hispanic and Latin American ancestry: Cultural considerations for assessment and psychotherapy.

Research specific to obsessive-compulsive disorder (OCD) among individuals of Hispanic and Latin American (H/L) ancestry is limited, as are culturally relevant assessment and treatment recommendations. This article discusses the implications of underrepresentation of H/L populations in OCD research and emphasizes the need to consider issues related to assessment, treatment, and structural barriers that hinder delivery of culturally appropriate first-line psychotherapy. Recommendations for assessment and treatment are provided to aid clinicians in distinguishing culturally normative thoughts and behaviors from OCD, as well as to inform the implementation of psychotherapeutic interventions with cultural humility. This manuscript offers recommendations for future research to tackle health equity concerns with respect to assessment and treatment and structural factors limiting access to culturally appropriate psychotherapy. Wide-scale efforts are needed to comprehensively understand how H/L cultures intersect with various OCD presentations and to further disseminate treatments to populations that have historically lacked access to mental health care.

The Solutions in Health Analytics for Rural Equity Across the Northwest (SHARE-NW) Dashboard for Health Equity in Rural Public Health: Usability Evaluation.

BACKGROUND: Given the dearth of resources to support rural public health practice, the solutions in health analytics for rural equity across the northwest dashboard (SHAREdash) was created to support rural county public health departments in northwestern United States with accessible and relevant data to identify and address health disparities in their jurisdictions. To ensure the development of useful dashboards, assessment of usability should occur at multiple stages throughout the system development life cycle. SHAREdash was refined via user-centered design methods, and upon completion, it is critical to evaluate the usability of SHAREdash. OBJECTIVE: This study aims to evaluate the usability of SHAREdash based on the system development lifecycle stage 3 evaluation goals of efficiency, satisfaction, and validity. METHODS: Public health professionals from rural health departments from Washington, Idaho, Oregon, and Alaska were enrolled in the usability study from January to April 2022. The web-based evaluation consisted of 2 think-aloud tasks and a semistructured qualitative interview. Think-aloud tasks assessed efficiency and effectiveness, and the interview investigated satisfaction and overall usability. Verbatim transcripts from the tasks and interviews were analyzed using directed content analysis. RESULTS: Of the 9 participants, all were female and most worked at a local health department (7/9, 78%). A mean of 10.1 (SD 1.4) clicks for task 1 (could be completed in 7 clicks) and 11.4 (SD 2.0) clicks for task 2 (could be completed in 9 clicks) were recorded. For both tasks, most participants required no prompting-89% (n=8) participants for task 1 and 67% (n=6) participants for task 2, respectively. For effectiveness, all participants were able to complete each task accurately and comprehensively. Overall, the participants were highly satisfied with the dashboard with everyone remarking on the utility of using it to support their work, particularly to compare their jurisdiction to others. Finally, half of the participants stated that the ability to share the graphs from the dashboard would be "extremely useful" for their work. The only aspect of the dashboard cited as problematic is the amount of missing data that was present, which was a constraint of the data available about rural jurisdictions. CONCLUSIONS: Think-aloud tasks showed that the SHAREdash allows users to complete tasks efficiently. Overall, participants reported being very satisfied with the dashboard and provided multiple ways they planned to use it to support their work. The main usability issue identified was the lack of available data indicating the importance of addressing the ongoing issues of missing and fragmented public health data, particularly for rural communities.

Centering Digital Health Equity During Technology Innovation: Protocol for a Comprehensive Scoping Review of Evidence-Based Tools and Approaches.

BACKGROUND: In the rush to develop health technologies for the COVID-19 pandemic, the unintended consequence of digital health inequity or the inability of priority communities to access, use, and receive equal benefits from digital health technologies was not well examined. OBJECTIVE: This scoping review will examine tools and approaches that can be used during digital technology innovation to improve equitable inclusion of priority communities in the development of digital health technologies. The results from this study will provide actionable insights for professionals in health care, health informatics, digital health, and technology development to proactively center equity during innovation. METHODS: Based on the Arksey and O'Malley framework, this scoping review will consider priority communities' equitable involvement in digital technology innovation. Bibliographic databases in health, medicine, computing, and information sciences will be searched. Retrieved citations will be double screened against the inclusion and exclusion criteria using Covidence (Veritas Health Innovation). Data will be charted using a tailored extraction tool and mapped to a digital health innovation pathway defined by the Centre for eHealth Research roadmap for eHealth technologies. An accompanying narrative synthesis will describe the outcomes in relation to the review's objectives. RESULTS: This scoping review is currently in progress. The search of databases and other sources returned a total of 4868 records. After the initial screening of titles and abstracts, 426 studies are undergoing dual full-text review. We are aiming to complete the full-text review stage by May 30, 2024, data extraction in October 2024, and subsequent synthesis in December 2024. Funding was received on October 1, 2023, from the Centre for Health Equity Incubator Grant Scheme, University of Melbourne, Australia. CONCLUSIONS: This paper will identify and recommend a series of validated tools and approaches that can be used by health care stakeholders and IT developers to produce equitable digital health technology across the Centre for eHealth Research roadmap. Identified evidence gaps, possible implications, and further research will be discussed. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/53855.

Foundational features of indigenous pregnancy care: Lessons learned from indigenous pregnancy care providers.

PROBLEM: Indigenous populations experience higher odds of poor maternal and infant health outcomes than non-Hispanic White mothers yet have lower odds of receiving adequate prenatal care. BACKGROUND: Many Indigenous communities rely on modern Western medical institutions to provide pregnancy related health care. These systems were not developed with or for Indigenous communities and often fail to meet the needs of Indigenous pregnant patients. Offering culturally congruent models of care may increase prenatal care utilization. QUESTION, HYPOTHESIS OR AIM: This paper used qualitative inquiry to identify Indigenous approaches to caring for pregnancy. METHODS: Our team conducted 16 semi-structured individual interviews and one group interview with a total of 19 respondents. To arrive at thematic categories, the research team engaged in a modified pile sorting technique. The final set of categories, along with sub-themes, descriptions and example quotes, were sent to interviewees for approval. FINDINGS: Ten Foundational Features of Indigenous Pregnancy Care were identified. These covered themes related to Indigenous cultural practices, relationships, Indigenous sovereignty, local Indigenous community, full spectrum care, wholistic care, birthing person's wisdom, power and autonomy, flexibility, historical trauma, and cultural awareness. DISCUSSION: Modern midwifery care delivered by Indigenous practitioners may partially bridge the cultural gap; however, intentional effort is needed to integrate Indigenous ways into medical doctor practice models and facilities. CONCLUSION: This paper identifies ten foundational features of Indigenous pregnancy care and demonstrates the importance of recognizing the effects of trauma and providing opportunities for healing, upholding sovereignty, and centering relationships when caring for Indigenous pregnancies.

The Association Between Food Security and Mammography Screening: Cross-Sectional Survey Results from the National Health Interview Survey.

OBJECTIVE: There is limited data about food insecurity within the cancer screening setting. To inform the potential need for food insecurity interventions, our study evaluated the association between food security and mammographic screening among eligible participants. METHODS: Female respondents aged 40-74 years in the 2019 National Health Interview Survey without history of breast cancer were included. Food insecurity was assessed using the Six-Item Food Security Scale developed by the National Center for Health Statistics. Proportion of patients who reported mammographic screening within the last year was estimated, stratified by food security. Multiple variable logistic regression analyses evaluated the association between food security and mammography screening, adjusted for potential confounders. All analyses were performed accounting for complex survey design features. RESULTS: 8,956 weighted survey respondents met inclusion criteria. 90.1% were classified as having high or marginal food security of whom 56.6% reported screening. 6.1% were classified with low food security of whom 42.1% reported screening. 3.8% were classified with very low food security of whom 43.1% reported screening. In our unadjusted analyses, participants with low food security (p<0.001) and very low food security (p<0.001) were less likely to report screening within the last year. In our adjusted analyses, participants with food insecurity (p=0.009) were less likely to report screening. DISCUSSION: In a nationally representative cross-sectional survey, participants with food insecurity were less likely to report mammography screening. Radiology practices should consider screening patients for food insecurity and social determinants of health. Evidence-based food insecurity interventions may increase adherence to mammography screening.

Factors Associated with Head and Neck Cancer Postoperative Radiotherapy Delays: A Systematic Review and Meta-analysis.

OBJECTIVE: Initiating postoperative radiotherapy (PORT) within 6 weeks of surgery for head and neck squamous cell carcinoma (HNSCC) is included in the National Comprehensive Cancer Network Clincal Practice Guidelines and is a Commission on Cancer quality metric. Factors associated with delays in starting PORT have not been systematically described nor synthesized. DATA SOURCES: PubMed, Scopus, and CINAHL. REVIEW METHODS: We included studies describing demographic characteristics, clinical factors, or social determinants of health associated with PORT delay (>6 weeks) in patients with HNSCC treated in the United States after 2003. Meta-analysis of odds ratios (ORs) was performed on nonoverlapping datasets. RESULTS: Of 716 unique abstracts reviewed, 21 studies were included in the systematic review and 15 in the meta-analysis. Study sample size ranged from 19 to 60,776 patients. In the meta-analysis, factors associated with PORT delay included black race (OR, 1.46, 95% confidence interval [CI]: 1.28-1.67), Hispanic ethnicity (OR, 1.37, 95% CI, 1.17-1.60), Medicaid or no health insurance (OR, 2.01, 95% CI, 1.90-2.13), lower income (OR, 1.38, 95% CI, 1.20-1.59), postoperative admission >7 days (OR, 2.92, 95% CI, 2.31-3.67), and 30-day hospital readmission (OR, 1.37, 95% CI, 1.29-1.47). CONCLUSION: Patients at greatest risk for a delay in initiating guideline-adherent PORT include those who are from minoritized communities, of lower socioeconomic status, and experience postoperative challenges. These findings provide the foundational evidence needed to deliver targeted interventions to enhance equity and quality in HNSCC care delivery.