The American Cancer Society National Lung Cancer Roundtable strategic plan: Provider engagement and outreach.

The American Cancer Society National Lung Cancer Roundtable strategic plan for provider engagement and outreach addresses barriers to the uptake of lung cancer screening, including lack of provider awareness and guideline knowledge about screening, concerns about potential harms from false-positive examinations, lack of time to implement workflows within busy primary care practices, insufficient infrastructure and administrative support to manage a screening program and patient follow-up, and implicit bias based on sex, race/ethnicity, social class, and smoking status. Strategies to facilitate screening include educational programming, clinical reminder systems within the electronic medical record, decision support aids, and tools to track nodules that can be implemented across a diversity of practices and health care organizational structures. PLAIN LANGUAGE SUMMARY: The American Cancer Society National Lung Cancer Roundtable strategic plan to reduce deaths from lung cancer includes strategies designed to support health care professionals, to better understand lung cancer screening, and to support adults who are eligible for lung cancer screening by providing counseling, referral, and follow-up.

Geographic Variations in Urban-Rural Particulate Matter (PM2.5) Concentrations in the United States, 2010-2019.

Fine particulate matter 2.5 (PM2.5) is a widely studied pollutant with substantial health impacts, yet little is known about the urban-rural differences across the United States. Trends of PM2.5 in urban and rural census tracts between 2010 and 2019 were assessed alongside sociodemographic characteristics including race/ethnicity, poverty, and age. For 2010, we identified 13,474 rural tracts and 59,065 urban tracts. In 2019, 13,462 were rural and 59,055 urban. Urban tracts had significantly higher PM2.5 concentrations than rural tracts during this period. Levels of PM2.5 were lower in rural tracts compared to urban and fell more rapidly in rural than urban. Rural tract annual means for 2010 and 2019 were 8.51 [2.24] µg/m3 and 6.41 [1.29] µg/m3, respectively. Urban tract annual means for 2010 and 2019 were 9.56 [2.04] µg/m3 and 7.51 [1.40] µg/m3, respectively. Rural and urban majority Black communities had significantly higher PM2.5 pollution levels (10.19 [1.64] µg/m3 and 9.79 [1.10] µg/m3 respectively), in 2010. In 2019, they were: 7.75 [1.1] µg/m3 and 7.09 [0.78] µg/m3, respectively. Majority Hispanic communities had higher PM2.5 levels and were the highest urban concentration among all races/ethnicities (8.01 [1.73] µg/m3), however they were not the highest rural concentration among all races/ethnicities (6.22 [1.60] µg/m3) in 2019. Associations with higher levels of PM2.5 were found with communities in the poorest quartile and with higher proportions of residents age<15 years old. These findings suggest greater protections for those disproportionately exposed to PM2.5 are needed, such as, increasing the availability of low-cost air quality monitors.

Characteristics associated with early vs. late adoption of lung cancer screening.

Background: Although lung cancer screening (LCS) reduces lung cancer mortality among high-risk individuals, uptake overall remains low. With all cancer screening modalities, a period of diffusion among medical providers and the public is expected, with screening uptake exhibiting a distribution among early vs. late adoption. We aimed to characterize individuals undergoing LCS based upon the timeframe of screening adoption. Methods: This retrospective study examined patients who underwent LCS between January 2015 - December 2022 in a centralized LCS program. Based on United States Preventive Services Task Force (USPSTF) criteria for LCS, early and late adopters of LCS - defined by time from eligibility to screening completion - were compared. A multivariable regression model was constructed to identify factors associated with early adoption of LCS. Results: Among patients screened during the study period, 90.4% were eligible based on USPSTF 2013 criteria, and 9.6% were eligible based on USPSTF 2021 criteria. Of the USPSTF 2013 eligible persons, multivariable analysis demonstrated Black/African-American individuals and current smokers had significantly greater odds of early adoption (aOR 1.428 and 1.514, respectively). Those without a family history of lung cancer or without a personal history of cancer had significantly lower odds of early adoption of LCS. Conclusions: Early adopters were more likely to report Black/African-American race or current smoking status after adjustment for covariates. Future research should examine how screening diffuses across the overall LCS-eligible population, as well as identify factors that drive and inhibit diffusion to create programs and policies with the ultimate goal of increasing timely LCS uptake.

Geographic Disparities in Availability of General and Specialized Pediatricians in the United States and Prevalence of Childhood Neurodevelopmental Disorders.

General pediatricians and those specialized in developmental-behavioral and neurodevelopmental disabilities support children with neurodevelopmental disorders, such as autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD). We identified substantial geographic disparities in pediatrician availability (eg, urban > rural areas), as well as regions with low pediatrician access but high ASD/ADHD prevalence estimates (eg, the US Southeast).

Cancer History and Social Support Impact Colorectal Cancer Screening Utilization by Race/Ethnicity.

This study examined the association between cancer history, social support, and up to date colorectal cancer (CRC) screening among four racial/ethnic groups. We conducted a cross-sectional analysis using data on respondents aged 45-75 years from the 2022 Behavioral Risk Factor Surveillance System. Our outcome of interest was CRC screening and exposures of interest were race/ethnicity, cancer history, and social support. Weighted multivariable logistic regression was performed. Among 73,869 adults, the CRC screening rate was 66.8% with the highest rate in non-Hispanic (NH) Whites (72.2%) and the lowest in Hispanics (52.6%). Screening rates were higher in adults with a cancer history (81.9%) and those having social support (69%). Hispanic adults with a cancer history had lower screening use (50.9% vs. 77.4% in no cancer history group; p-value <0.001). Regardless of race/ethnicity, adults without social support had lower screening utilization (p-value<0.05). In effect modification, NH White adults who reported no cancer history and lack of social support were 12% less likely to have CRC screening than those with social support but without cancer history (OR,0.88;95% CI, 0.79-0.98). Similar results were observed among Hispanic adults without a cancer history and social support, with 37% less likely to have CRC screening than those with social support but no cancer history (OR,0.63;95% CI, 0.42-0.93). NH White and Hispanic adults without a cancer history and limited social support were less likely to have CRC screening uptake. By implementing culturally tailored interventions that address social support needs, greater CRC screening compliance may be increased among these populations.

Health care access barriers among metropolitan and nonmetropolitan populations of eight geographically diverse states, 2018.

INTRODUCTION: Nonmetropolitan populations face frequent health care access barriers compared to their metropolitan counterparts, but differences in the number of these barriers across groups are not known. Our objective was to examine the differences in health care access barriers across metropolitan, micropolitan, and noncore populations. METHODS: We used Behavioral Risk Factor Surveillance System data from the optional "Health Care Access" module to perform a cross-sectional analysis examining access barriers across levels of rurality using bivariate analyses and Poisson models. Access barriers were operationalized as a count ranging from 0 to 5, reflective of the number of financial barriers and nonfinancial barriers. RESULTS: Micropolitan and noncore respondents had lower educational attainment, were older, and were less racially/ethnically diverse than metropolitan respondents. They also reported more barriers, including lacking health insurance, medical debt, and foregoing care or medication due to cost. These barriers were most pronounced in non-Hispanic Black, Hispanic, and American Indian/Alaska Native nonmetropolitan populations, compared to their White counterparts. In adjusted analysis, micropolitan respondents reported more barriers compared to metropolitan (prevalence rate ratio = 1.06; 95% confidence interval: 1.02-1.10) as did women, racial/ethnic minority populations, and those with less education. CONCLUSIONS: Micropolitan populations experience more barriers to health care, and nonmetropolitan respondents report more cost-related barriers than their metropolitan counterparts, raising concerns on health care disparities and financial burdens for these underserved populations. This underscores the need to mitigate these barriers, particularly among those in micropolitan areas and minorized populations.

Comparison of the characteristics of the population eligible for lung cancer screening under 2013 and population newly eligible under 2021 US Preventive Services Task Force recommendations.

PURPOSE: In 2021, the United States Preventive Services Task Force (USPSTF) revised their 2013 recommendations for lung cancer screening eligibility by lowering the pack-year history from 30+ to 20+ pack-years and the recommended age from 55 to 50 years. Simulation studies suggest that Black persons and females will benefit most from these changes, but it is unclear how the revised USPSTF recommendations will impact geographic, health-related, and other sociodemographic characteristics of those eligible. METHODS: This cross-sectional study employed data from the 2017-2020 Behavioral Risk Factor Surveillance System surveys from 23 states to compare age, gender, race, marital, sexual orientation, education, employment, comorbidity, vaccination, region, and rurality characteristics of the eligible population according to the original 2013 USPSTF recommendations with the revised 2021 USPSTF recommendations using chi-squared tests. This study compared those originally eligible to those newly eligible using the BRFSS raking-dervived weighting variable. RESULTS: There were 30,190 study participants. The results of this study found that eligibility increased by 62.4% due to the revised recommendations. We found that the recommendation changes increased the proportion of eligible females (50.1% vs 44.1%), Black persons (9.2% vs 6.6%), Hispanic persons (4.4% vs 2.7%), persons aged 55-64 (55.8% vs 52.6%), urban-dwellers(88.3% vs 85.9%), unmarried (3.4% vs 2.5%) and never married (10.4% vs 6.6%) persons, as well as non-retirees (76.5% vs 56.1%) Respondents without comorbidities and COPD also increased. CONCLUSION: It is estimated that the revision of the lung cancer screening recommendations decreased eligibility disparities in sex, race, ethnicity, marital status, respiratory comorbidities, and vaccination status. Research will be necessary to estimate whether uptake patterns subsequently follow the expanded eligibility patterns.

Chronic Disease Prevalence in the US: Sociodemographic and Geographic Variations by Zip Code Tabulation Area.

Introduction: We examined the geographic distribution and sociodemographic and economic characteristics of chronic disease prevalence in the US. Understanding disease prevalence and its impact on communities is crucial for effective public health interventions. Methods: Data came from the American Community Survey, the American Hospital Association Survey, and the Centers for Disease Control and Prevention's PLACES. We used quartile thresholds for 10 chronic diseases to assess chronic disease prevalence by Zip Code Tabulation Areas (ZCTAs). ZCTAs were scored from 0 to 20 based on their chronic disease prevalence quartile. Three prevalence categories were established: least prevalent (score ≤6), moderately prevalent (score 7-13), and highest prevalence (score ≥14). Community characteristics were compared across categories and spatial analyses to identify clusters of ZCTAs with high disease prevalence. Results: Our study showed a high prevalence of chronic disease in the southeastern region of the US. Populations in ZCTAs with the highest prevalence showed significantly greater socioeconomic disadvantages (ie, lower household income, lower home value, lower educational attainment, and higher uninsured rates) and barriers to health care access (lower percentage of car ownership and longer travel distances to hospital-based intensive care units, emergency departments, federally qualified health centers, and pharmacies) compared with ZCTAs with the lowest prevalence. Conclusion: Socioeconomic disparities and health care access should be addressed in communities with high chronic disease prevalence. Carefully directed resource allocation and interventions are necessary to reduce the effects of chronic disease on these communities. Policy makers and clinicians should prioritize efforts to reduce chronic disease prevalence and improve the overall health and well-being of affected communities throughout the US.

Measuring variation in infant mortality and deaths of despair by US congressional district in Pennsylvania: a methodological case study.

Many ecological studies examine health outcomes and disparities using administrative boundaries such as census tracts, counties, or states. These boundaries help us to understand the patterning of health by place, along with impacts of policies implemented at these levels. However, additional geopolitical units (units with both geographic and political meaning), such as congressional districts (CDs), present further opportunities to connect research with public policy. Here we provide a step-by-step guide on how to conduct disparities-focused analysis at the CD level. As an applied case study, we use geocoded vital statistics data from 2010-2015 to examine levels of and disparities in infant mortality and deaths of despair in the 19 US CDs of Pennsylvania for the 111th-112th (2009-2012) Congresses and 18 CDs for the 113th-114th (2013-2016) Congresses. We also provide recommendations for extending CD-level analysis to other outcomes, states, and geopolitical boundaries, such as state legislative districts. Increased surveillance of health outcomes at the CD level can help prompt policy action and advocacy and, hopefully, reduce rates of and disparities in adverse health outcomes.

Predictors of Autism Spectrum Disorder and ADHD: Results from the National Survey of Children's Health.

BACKGROUND: Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are two of the most common neurodevelopmental disorders with comorbidity rates of up to 70%. Population-based studies show differential rates of ADHD and ASD diagnosis based on sociodemographic variables. However, no studies to date have examined the role of sociodemographic factors on the likelihood of receiving an ADHD, ASD, or comorbid ASD + ADHD diagnosis in a large, nationally representative sample. OBJECTIVE: This study aims to examine the impact of sociodemographic factors on the odds of experiencing ASD-only, ADHD-only, or both diagnoses for children in the United States. METHODS: Using a mixed effects multinomial logistic modeling approach and data from the 2016-2018 National Survey of Children's Health, we estimated the association between sociodemographic variables and the log odds of being in each diagnostic group. RESULTS: Sociodemographic variables were differentially related to the three diagnostic groups: ASD-only, ADHD-only, and ASD + ADHD. Compared to girls, boys experienced higher odds of all three diagnosis categories. White children had higher odds of having an ADHD-only or ASD + ADHD diagnosis compared to non-Hispanic (NH) Black, NH multiple/other race, and Hispanic children. Odds ratios for levels of parent education, household income, and birth characteristics showed varying trends across diagnostic groups. CONCLUSIONS: Overall, our findings point to unique sets of risk factors differentially associated ASD and ADHD, with lower income standing out as an important factor associated with receiving a diagnosis of ASD + ADHD.

Successes and Barriers of Health Information Exchange Participation Across Hospitals in South Carolina From 2014 to 2020: Longitudinal Observational Study.

BACKGROUND: The 2009 Health Information Technology for Economic and Clinical Health Act sets three stages of Meaningful Use requirements for the electronic health records incentive program. Health information exchange (HIE) technologies are critical in the meaningful use of electronic health records to support patient care coordination. However, HIE use trends and barriers remain unclear across hospitals in South Carolina (SC), a state with the earliest HIE implementation. OBJECTIVE: This study aims to explore changes in the proportion of HIE participation and factors associated with HIE participation, and barriers to exchange and interoperability across SC hospitals. METHODS: This study derived data from a longitudinal data set of the 2014-2020 American Hospital Association Information Technology Supplement for 69 SC hospitals. The primary outcome was whether a hospital participated in HIE in a year. A cross-sectional multivariable logistic regression model, clustered at the hospital level and weighted by bed size, was used to identify factors associated with HIE participation. The second outcome was barriers to sending, receiving, or finding patient health information to or from other organizations or hospital systems. The frequency of hospitals reporting each barrier related to exchange and interoperability were then calculated. RESULTS: Hospitals in SC have been increasingly participating in HIE, improving from 43% (24/56) in 2014 to 82% (54/66) in 2020. After controlling for other hospital factors, teaching hospitals (adjusted odds ratio [AOR] 3.7, 95% CI 1.0-13.3), system-affiliated hospitals (AOR 6.6, 95% CI 3.2-13.7), and rural referral hospitals (AOR 8.0, 95% CI 1.2-53.4) had higher odds to participate in HIE than their counterparts, whereas critical access hospitals (AOR 0.1, 95% CI 0.02-0.6) were less likely to participate in HIE than their counterparts reimbursed by the prospective payment system. Hospitals with greater ratios of Medicare or Medicaid inpatient days to total inpatient days also reported higher odds of HIE participation. Despite the majority of hospitals reporting HIE participation in 2020, barriers to exchange and interoperability remained, including lack of provider contacts (27/40, 68%), difficulty in finding patient health information (27/40, 68%), adapting different vendor platforms (26/40, 65%), difficulty matching or identifying same patients between systems (23/40, 58%), and providers that do not typically exchange patient data (23/40, 58%). CONCLUSIONS: HIE participation has been widely adopted in SC hospitals. Our findings highlight the need to incentivize optimization of HIE and seamless information exchange by facilitating and implementing standardization of health information across various HIE systems and by addressing other technical issues, including providing providers' addresses and training HIE stakeholders to find relevant information. Policies and efforts should include more collaboration with vendors to reduce platform compatibility issues and more user engagement and technical training and support to facilitate effective, accurate, and efficient exchange of provider contacts and patient health information.

Equitable implementation of lung cancer screening: avoiding its potential to mirror existing inequities among people who use tobacco.

PURPOSE: Lung cancer is the leading cause of cancer death, but the advent of lung cancer screening using low-dose computed tomography offers a tremendous opportunity to improve lung cancer outcomes. Unfortunately, implementation of lung cancer screening has been hampered by substantial barriers and remains suboptimal. Specifically, the commentary emphasizes the intersectionality of smoking history and several important sociodemographic characteristics and identities that should inform lung cancer screening outreach and engagement efforts, including socioeconomic considerations (e.g., health insurance status), racial and ethnic identity, LGBTQ + identity, mental health history, military experience/veteran status, and geographic residence in addressing specific community risk factors and future interventions in efforts to make strides toward equitable lung cancer screening. METHODS: Members of the Equitable Implementation of Lung Cancer Screening Interest Group with the Cancer Prevention and Control Network (CPCRN) provide a critical commentary based on existing literature regarding smoking trends in the US and lung cancer screening uptake to propose opportunities to enhance implementation and support equitable distribution of the benefits of lung cancer screening. CONCLUSION: The present commentary utilizes information about historical trends in tobacco use to highlight opportunities for targeted outreach efforts to engage communities at high risk with information about the lung cancer screening opportunity. Future efforts toward equitable implementation of lung cancer screening should focus on multi-level implementation strategies that engage and work in concert with community partners to co-create approaches that leverage strengths and reduce barriers within specific communities to achieve the potential of lung cancer screening.

Evaluation of Bayesian spatiotemporal infectious disease models for prospective surveillance analysis.

BACKGROUND: COVID-19 brought enormous challenges to public health surveillance and underscored the importance of developing and maintaining robust systems for accurate surveillance. As public health data collection efforts expand, there is a critical need for infectious disease modeling researchers to continue to develop prospective surveillance metrics and statistical models to accommodate the modeling of large disease counts and variability. This paper evaluated different likelihoods for the disease count model and various spatiotemporal mean models for prospective surveillance. METHODS: We evaluated Bayesian spatiotemporal models, which are the foundation for model-based infectious disease surveillance metrics. Bayesian spatiotemporal mean models based on the Poisson and the negative binomial likelihoods were evaluated with the different lengths of past data usage. We compared their goodness of fit and short-term prediction performance with both simulated epidemic data and real data from the COVID-19 pandemic. RESULTS: The simulation results show that the negative binomial likelihood-based models show better goodness of fit results than Poisson likelihood-based models as deemed by smaller deviance information criteria (DIC) values. However, Poisson models yield smaller mean square error (MSE) and mean absolute one-step prediction error (MAOSPE) results when we use a shorter length of the past data such as 7 and 3 time periods. Real COVID-19 data analysis of New Jersey and South Carolina shows similar results for the goodness of fit and short-term prediction results. Negative binomial-based mean models showed better performance when we used the past data of 52 time periods. Poisson-based mean models showed comparable goodness of fit performance and smaller MSE and MAOSPE results when we used the past data of 7 and 3 time periods. CONCLUSION: We evaluate these models and provide future infectious disease outbreak modeling guidelines for Bayesian spatiotemporal analysis. Our choice of the likelihood and spatiotemporal mean models was influenced by both historical data length and variability. With a longer length of past data usage and more over-dispersed data, the negative binomial likelihood shows a better model fit than the Poisson likelihood. However, as we use a shorter length of the past data for our surveillance analysis, the difference between the Poisson and the negative binomial models becomes smaller. In this case, the Poisson likelihood shows robust posterior mean estimate and short-term prediction results.

County-Level Prevalence Estimates of Autism Spectrum Disorder in Children in the United States.

Prevalence estimates of autism spectrum disorder (ASD) point to geographic and socioeconomic disparities in identification and diagnosis. Estimating national prevalence rates can limit understanding of local disparities, especially in rural areas where disproportionately higher rates of poverty and decreased healthcare access exist. Using a small area estimation approach from the 2016-2018 National Survey of Children's Health (N = 70,913), we identified geographic differences in ASD prevalence, ranging from 4.38% in the Mid-Atlantic to 2.71% in the West South-Central region. Cluster analyses revealed "hot spots" in parts of the Southeast, East coast, and Northeast. This geographic clustering of prevalence estimates suggests that local or state-level differences in policies, service accessibility, and sociodemographics may play an important role in identification and diagnosis of ASD.County-Level Prevalence Estimates of Autism Spectrum Disorder in Children in the United States.

Effect of rurality and travel distance on contralateral prophylactic mastectomy for unilateral breast cancer.

PURPOSE: Despite lack of survival benefit, demand for contralateral prophylactic mastectomy (CPM) to treat unilateral breast cancer remains high. High uptake of CPM has been demonstrated in Midwestern rural women. Greater travel distance for surgical treatment is associated with CPM. Our objective was to examine the relationship between rurality and travel distance to surgery with CPM. METHODS: Women diagnosed with stages I-III unilateral breast cancer between 2007 and 2017 were identified using the National Cancer Database. Logistic regression was used to model likelihood of CPM based on rurality, proximity to metropolitan centers, and travel distance. A multinomial logistic regression model compared factors associated with CPM with reconstruction versus other surgical options. RESULTS: Both rurality (OR 1.10, 95% CI 1.06-1.15 for non-metro/rural vs. metro) and travel distance (OR 1.37, 95% CI 1.33-1.41 for those who traveled 50 + miles vs. < 30 miles) were independently associated with CPM. For women who traveled 30 + miles, odds of receiving CPM were highest for non-metro/rural women (OR 1.33 for 30-49 miles, OR 1.57 for 50 + miles; reference: metro women traveling < 30 miles). Non-metro/rural women who received reconstruction were more likely to undergo CPM regardless of travel distance (ORs 1.11-1.21). Both metro and metro-adjacent women who received reconstruction were more likely to undergo CPM only if they traveled 30 + miles (ORs 1.24-1.30). CONCLUSION: The impact of travel distance on likelihood of CPM varies by patient rurality and receipt of reconstruction. Further research is needed to understand how patient residence, travel burden, and geographic access to comprehensive cancer care services, including reconstruction, influence patient decisions regarding surgery.

Measuring and addressing health equity: an assessment of cancer center designation requirements.

PURPOSE: By requiring specific measures, cancer endorsements (e.g., accreditations, designations, certifications) promote high-quality cancer care. While 'quality' is the defining feature, less is known about how these endorsements consider equity. Given the inequities in access to high-quality cancer care, we assessed the extent to which equity structures, processes, and outcomes were required for cancer center endorsements. METHODS: We performed a content analysis of medical oncology, radiation oncology, surgical oncology, and research hospital endorsements from the American Society of Clinical Oncology (ASCO), American Society of Radiation Oncology (ASTRO), American College of Surgeons Commission on Cancer (CoC), and the National Cancer Institute (NCI), respectively. We analyzed requirements for equity-focused content and compared how each endorsing body included equity as a requirement along three axes: structures, processes, and outcomes. RESULTS: ASCO guidelines centered on processes assessing financial, health literacy, and psychosocial barriers to care. ASTRO guidelines related to language needs and processes to address financial barriers. CoC equity-related guidelines focused on processes addressing financial and psychosocial concerns of survivors, and hospital-identified barriers to care. NCI guidelines considered equity related to cancer disparities research, inclusion of diverse groups in outreach and clinical trials, and diversification of investigators. None of the guidelines explicitly required measures of equitable care delivery or outcomes beyond clinical trial enrollment. CONCLUSION: Overall, equity requirements were limited. Leveraging the influence and infrastructure of cancer quality endorsements could enhance progress toward achieving cancer care equity. We recommend that endorsing organizations 1) require cancer centers to implement processes for measuring and tracking health equity outcomes and 2) engage diverse community stakeholders to develop strategies for addressing discrimination.

The COVID-19 pandemic impact on independent and provider-based rural health clinics' operations and cancer prevention and screening provision in the United States.

INTRODUCTION: The COVID-19 pandemic has disrupted cancer care, but it is unknown how the pandemic has affected care in Medicare-certified rural health clinics (RHCs) where cancer prevention and screening services are critical for their communities. This study examined how the provision of these cancer services changed pre- and peri-pandemic overall and by RHC type (independent and provider-based). METHODS: We administered a cross-sectional survey to a stratified random sample of RHCs to assess clinic characteristics, pandemic stressors, and the provision of cancer prevention and control services among RHCs pre- and peri-pandemic. We used McNemar's test and Wilcoxon signed rank tests to assess differences in the provision of cancer prevention and screening services pre- and peri-pandemic by RHC type. RESULTS: Of the 153 responding RHCs (response rate of 8%), 93 (60.8%) were provider-based and 60 (39.2%) were independent. Both RHC types were similar in their experience of pandemic stressors, though a higher proportion of independent RHCs reported financial concerns and challenges obtaining personal protective equipment. Both types of RHCs provided fewer cancer prevention and screening services peri-pandemic-5.8 to 4.2 for provider-based and 5.3 to 3.5 for independent (P<.05 for both). Across lung, cervical, breast, and colorectal cancer-related services, the proportion of both RHC groups providing services dropped peri-pandemic. DISCUSSION: The pandemic's impact on independent and provider-based RHCs and their patients was considerable. Going forward, greater resources should be targeted to RHCs-particularly independent RHCs-to ensure their ability to initiate and sustain evidence-based prevention and screening services.