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PURPOSE: Community health needs assessments are required for most state and local public health agencies and non-profit hospitals. Typically based on community health improvement planning models, these assessments encompass overall community health and multiple diseases to inform program planning. National Cancer Institute (NCI)-designated Cancer Centers and community-based cancer-focused programs share the goal of reducing cancer burden in the catchment areas they serve. However, to date, no published models exist to guide cancer-specific needs assessments for a determined geographic area that can inform both public health and research initiatives. The purpose of this article is to outline a cancer needs assessment (CNA) framework and community-engaged, mixed-methods process, along with a case study of how we applied it in Kentucky. METHODS: We convened a steering committee of key organizational partners to provide input throughout the process. We developed a conceptual framework of multi-level determinants affecting cancer-related outcomes. We incorporated both quantitative and qualitative data gathered through a variety of means, including a novel application of group concept mapping to guide definition of priorities. RESULTS: The resulting CNA has helped guide strategic planning and priorities for Kentucky's Cancer Action Plan, Markey Cancer Center, state agencies, and community-based organizations. CONCLUSION: This framework and process can be used collaboratively by cancer center Community Outreach and Engagement offices, public health agencies, oncology programs, and community partners to plan impactful cancer control programs and research in their catchment areas. Universities can also use them to inform the planning of community engagement and health equity research efforts.
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PURPOSE: Cancer is the second leading cause of death in the United States, and the disease burden is elevated in Appalachian Kentucky, due in part to health behaviors and inequities in social determinants of health. This study's goal was to evaluate Appalachian Kentucky's cancer burden compared to non-Appalachian Kentucky, and Kentucky compared to the United States (excluding Kentucky). METHODS: The following data were analyzed: annual all-cause and all-site cancer mortality rates from 1968 to 2018; 5-year all-site and site-specific cancer incidence and mortality rates from 2014 to 2018; aggregated screening and risk factor data from 2016 to 2018 for the United States (excluding Kentucky), Kentucky, non-Appalachian Kentucky, and Appalachian Kentucky; and human papilloma virus vaccination prevalence by sex from 2018 for the United States and Kentucky. FINDINGS: Since 1968, the United States has experienced a large decrease in all-cause and cancer mortality, but the reduction in Kentucky has been smaller and slower, driven by even smaller and slower reductions within Appalachian Kentucky. Appalachian Kentucky has higher overall cancer incidence and mortality rates and higher rates for several site-specific cancers compared to non-Appalachian Kentucky. Contributing factors include screening rate disparities and increased rates of obesity and smoking. CONCLUSIONS: Appalachian Kentucky has experienced persistent cancer disparities, including elevated all-cause and cancer mortality rates for 50+ years, widening the gap between this region and the rest of the country. In addition to addressing social determinants of health, increased efforts aimed at improving health behaviors and increased access to health care resources could help reduce this disparity.
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Neoplasias , Humanos , Estados Unidos/epidemiologia , Kentucky/epidemiologia , Neoplasias/epidemiologia , Fatores de Risco , Fumar , Obesidade , Região dos Apalaches/epidemiologiaRESUMO
Importance: Oral tongue cancer (OTC) incidence has increased rapidly among young (<50 years) non-Hispanic White individuals in the US during the past 2 decades; however, it is unknown if age-associated trajectories have persisted. Objective: To examine US trends in OTC incidence and project future case burden. Design, Setting, and Participants: This cross-sectional analysis of OTC incidence trends used the US Cancer Statistics Public Use Database, which covers approximately 98% of the US population, and included individuals with an OTC diagnosis reported to US cancer registries between January 1, 2001, and December 31, 2019. Exposures: Sex, race and ethnicity, and age. Main Outcomes and Measures: Estimated average annual percentage change in OTC incidence from 2001 to 2019. Given the substantial incidence rate increases among non-Hispanic White individuals compared with those of racial and ethnic minority groups, subsequent analyses were restricted to non-Hispanic White individuals. Forecasted OTC incidence trends and case burden among non-Hispanic White individuals to 2034. Results: There were 58â¯661 new cases of OTC identified between 2001 and 2019. Male individuals (57.6%), non-Hispanic White individuals (83.7%), those aged 60 years or older (58.0%), and individuals with localized stage disease at diagnosis (62.7%) comprised most cases. OTC incidence increased across all age, sex, and racial and ethnic groups, with marked increases observed among non-Hispanic White individuals (2.9% per year; 95% CI, 2.2%-3.7%). Increases among female individuals aged 50 to 59 years were most notable and significantly outpaced increases among younger non-Hispanic White female individuals (4.8% per year [95% CI, 4.1%-5.4%] vs 3.3% per year [95% CI, 2.7%-3.8%]). While all non-Hispanic White birth cohorts from 1925 to 1980 saw sustained increases, rates stabilized among female individuals born after 1980. Should trends continue, the burden of new OTC cases among non-Hispanic White individuals in the US is projected to shift more toward older individuals (from 33.1% to 49.3% among individuals aged 70 years or older) and female individuals (86% case increase vs 62% among male individuals). Conclusions and Relevance: The results of this cross-sectional study suggest that the period of rapidly increasing OTC incidence among younger non-Hispanic White female individuals in the US is tempering and giving way to greater increases among older female individuals, suggesting a birth cohort effect may have been associated with previously observed trends. Recent increases among non-Hispanic White individuals 50 years or older of both sexes have matched or outpaced younger age groups. Continuing increases among older individuals, particularly female individuals, may be associated with a shift in the OTC patient profile over time.
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Neoplasias da Língua , Humanos , Masculino , Feminino , Incidência , Estados Unidos/epidemiologia , Pessoa de Meia-Idade , Estudos Transversais , Neoplasias da Língua/epidemiologia , Idoso , Adulto , Sistema de Registros , Distribuição por Idade , População Branca/estatística & dados numéricos , Idoso de 80 Anos ou mais , Distribuição por SexoRESUMO
Importance: The COVID-19 pandemic disrupted the normal course of cancer screening and detection in the US. A nationwide analysis of the extent of this disruption using cancer registry data has not been conducted. Objective: To assess the observed and expected cancer rate trends for March through December 2020 using data from all 50 US states and the District of Columbia. Design, Settings, and Participants: This was a population-based cross-sectional analysis of cancer incidence trends using data on cases of invasive cancer diagnosis reported to the US Cancer Statistics from January 1, 2018, through December 31, 2020. Data analyses were performed from July 6 to 28, 2023. Exposure(s): Age, sex, race, urbanicity, and state-level response to the COVID-19 pandemic at the time of cancer diagnosis. Main Outcomes and Measures: Used time-series forecasting methods to calculate expected cancer incidence rates for March 1 through December 31, 2020, from prepandemic trends (January 2018-February 2020). Measured relative difference between observed and expected cancer incidence rates and numbers of potentially missed cancer cases. Results: This study included 1 297 874 cancer cases reported in the US from March 1 through December 31, 2020, with an age-adjusted incidence rate of 326.5 cases per 100 000 population. Of the observed cases, 657 743 (50.7%) occurred in male patients, 757 106 (58.3%) in persons 65 years or older, and 1 066 566 (82.2%) in White individuals. Observed rates of all-sites cancer incidence in the US were 28.6% (95% prediction interval [PI], 25.4%-31.7%) lower than expected during the height of the COVID-19 pandemic response (March-May 2020); 6.3% (95% PI, 3.8%-8.8%) lower in June to December 2020; and overall, 13.0% (95% PI, 11.2%-14.9%) lower during the first 10 months of the pandemic. These differences indicate that there were potentially 134â¯395 (95% PI, 112â¯544-156â¯680) undiagnosed cancers during that time frame. Prostate cancer accounted for the largest number of potentially missed cases (22â¯950), followed by female breast (16â¯870) and lung (16â¯333) cancers. Screenable cancers saw a total rate reduction of 13.9% (95% PI, 12.2%-15.6%) compared with the expected rate. The rate of female breast cancer showed evidence of recovery to previous trends after the first 3 months of the pandemic, but levels remained low for colorectal, cervical, and lung cancers. From March to May 2020, states with more restrictive COVID-19 responses had significantly greater disruptions, yet by December 2020, these differences were nonsignificant for all sites except lung, kidney, and pancreatic cancer. Conclusions and Relevance: This cross-sectional analysis of cancer incidence trends found a substantial disruption to cancer diagnoses in the US during the first 10 months of the COVID-19 pandemic. The overall and differential findings can be used to inform where the US health care system should be looking to make up ground in cancer screening and detection.
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Neoplasias da Mama , COVID-19 , Neoplasias da Próstata , Humanos , Masculino , Pandemias , Estudos TransversaisRESUMO
Importance: Proton beam therapy is an emerging radiotherapy treatment for patients with cancer that may produce similar outcomes as traditional photon-based therapy for many cancers while delivering lower amounts of toxic radiation to surrounding tissue. Geographic proximity to a proton facility is a critical component of ensuring equitable access both for indicated diagnoses and ongoing clinical trials. Objective: To characterize the distribution of proton facilities in the US, quantify drive-time access for the population, and investigate the likelihood of long commutes for certain population subgroups. Design, Setting, and Participants: This population-based cross-sectional study analyzed travel times to proton facilities in the US. Census tract variables in the contiguous US were measured between January 1, 2017, and December 31, 2021. Statistical analysis was performed from September to November 2023. Exposures: Drive time in minutes to nearest proton facility. Population totals and prevalence of specific factors measured from the American Community Survey: age; race and ethnicity; insurance, disability, and income status; vehicle availability; broadband access; and urbanicity. Main Outcomes and Measures: Poor access to proton facilities was defined as having a drive-time commute of at least 4 hours to the nearest location. Median drive time and percentage of population with poor access were calculated for the entire population and by population subgroups. Univariable and multivariable odds of poor access were also calculated for certain population subgroups. Results: Geographic access was considered for 327â¯536â¯032 residents of the contiguous US (60â¯594â¯624 [18.5%] Hispanic, 17â¯974â¯186 [5.5%] non-Hispanic Asian, 40â¯146â¯994 [12.3%] non-Hispanic Black, and 195â¯265â¯639 [59.6%] non-Hispanic White; 282â¯031â¯819 [86.1%] resided in urban counties). The median (IQR) drive time to the nearest proton facility was 96.1 (39.6-195.3) minutes; 119.8 million US residents (36.6%) lived within a 1-hour drive of the nearest proton facility, and 53.6 million (16.4%) required a commute of at least 4 hours. Persons identifying as non-Hispanic White had the longest median (IQR) commute time at 109.8 (48.0-197.6) minutes. Multivariable analysis identified rurality (odds ratio [OR], 2.45 [95% CI, 2.27-2.64]), age 65 years or older (OR, 1.09 [95% CI, 1.06-1.11]), and living below the federal poverty line (OR, 1.22 [1.20-1.25]) as factors associated with commute times of at least 4 hours. Conclusions and Relevance: This cross-sectional study of drive-time access to proton beam therapy found that disparities in access existed among certain populations in the US. These results suggest that such disparities present a barrier to an emerging technology in cancer treatment and inhibit equitable access to ongoing clinical trials.
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Acessibilidade aos Serviços de Saúde , Disparidades em Assistência à Saúde , Neoplasias , Terapia com Prótons , Viagem , Humanos , Terapia com Prótons/estatística & dados numéricos , Estudos Transversais , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Neoplasias/radioterapia , Estados Unidos , Feminino , Masculino , Viagem/estatística & dados numéricos , Pessoa de Meia-Idade , Disparidades em Assistência à Saúde/estatística & dados numéricos , Idoso , Adulto , Fatores de TempoRESUMO
Low educational attainment and high cancer incidence and mortality rates have long been a challenge in Appalachian Kentucky. Prior studies have reported disparities in cancer incidence and mortality between Appalachian and non-Appalachian populations, but the influence of education on this disparity has not been extensively studied. Herein, all cancers and two cancer sites with available screenings (colorectal and lung) were joined with education indicators (educational attainment and literacy) and one geographic indicator across all 120 Kentucky counties. This dataset was used to build choropleth maps and perform simple linear and spatial regression to assess statistical significance and to measure the strength of the linear relationship between county-level education and cancer-related outcomes in Appalachian and non-Appalachian Kentucky. Among all cancer sites, age-adjusted cancer incidence and mortality was higher in Appalachian versus non-Appalachian Kentucky. The percentage of the population not completing high school was positively correlated with increased colorectal and lung cancer incidence and mortality in Appalachia. Similarly, counties with a higher percentage of the population lacking basic literacy had the strongest correlation with colorectal and lung cancer incidence and mortality, which were concentrated in Appalachian Kentucky. Our findings suggest a need for implementing interventions that increase educational attainment and enhance basic literacy as a means of improving cancer outcomes in Appalachia.
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Neoplasias Colorretais , Neoplasias Pulmonares , Humanos , Kentucky/epidemiologia , Alfabetização , Região dos Apalaches/epidemiologia , Escolaridade , Neoplasias Pulmonares/epidemiologia , Análise Espacial , Neoplasias Colorretais/epidemiologia , Neoplasias Colorretais/prevenção & controle , PulmãoRESUMO
Background: Oral tongue cancer (OTC) incidence has increased rapidly among young (< 50 years) non-Hispanic White (NHW) individuals in the United States (U.S.) over the last two decades; however, it is unknown if age-associated trajectories have persisted. Furthermore, incidence trends for all 50 U.S. states and the District of Columbia have never been investigated. Materials and methods: Using U.S. Cancer Statistics data, we investigated incidence trends from 2001-2019, overall and according to age, sex, race/ethnicity, and state of residence. We used age-period-cohort analysis to explore temporal patterns among birth cohorts and to project future trends and case counts. Results: OTC incidence increased across all age, sex, and racial/ethnic groups, with marked increases observed among the NHWs (2.9%/year; 95%CI, 2.2%-3.7%). Incidence among NHWs increased in most U.S. states, particularly in the Southeast. Increases were significantly greater among NHW females compared to males (3.6%/year vs 2.6%/year; P = 0.022). Increases among females aged 50-59 years were most notable and significantly outpaced increases among younger females (4.8%/year [95% CI, 4.1%-5.4%] vs. 3.3%/year [95% CI, 2.7%-3.8%]; P < .001). While both NHW male and female birth cohorts from 1925 to 1980 saw sustained increases, rates stabilized among females born after 1980. Should trends continue, the burden of new OTC cases among NHWs in the U.S. is projected to shift to older individuals (33.1% versus 49.3% aged ≥ 70) and females (86% case increase versus 62% among males). Conclusion: The period of rapidly increasing OTC incidence among younger NHW females in the U.S. is tempering and giving way to greater increases among older females, suggesting that a birth cohort effect may have influenced previously observed trends. Recent increases among NHWs aged ≥ 50 of both sexes have matched or outpaced younger age groups. Continuing increases among older individuals, particularly females, will lead to a shift in the OTC patient profile over time.
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This cross-sectional study evaluates recent trends in rates of cervical cancer incidence and incidence-based mortality among women in Appalachian and non-Appalachian Kentucky counties.