Active vs Traditional Methods of Recruiting Children for a Clinical Trial in Rural Primary Care Clinics: A Cluster-Randomized Clinical Trial

IMPORTANCE

To our knowledge, there are no published randomized clinical trials of recruitment strategies. Rigorously evaluated successful recruitment strategies for children are needed.

OBJECTIVE

To evaluate the feasibility of 2 recruitment methods for enrolling rural children through primary care clinics to assess whether either or both methods are sufficiently effective for enrolling participants into a clinical trial of a behavioral telehealth intervention for children with overweight or obesity.

DESIGN, SETTING, AND PARTICIPANTS

This cluster-randomized clinical trial of 2 recruitment methods was conducted at 4 primary care clinics in 4 separate states. Each clinic used both recruitment methods in random order. Clinic eligibility criteria included at least 40% pediatric patients with Medicaid coverage and at least 100 potential participants. Eligibility criteria for children included a rural home address, age 6 to 11 years, and body mass index at or above the 85th percentile. Recruitment began February 3, 2020, and randomization of participants occurred on August 17, 2020. Data were analyzed from October 3, 2021, to April 21, 2022.

INTERVENTIONS

Two recruitment methods were assessed: the active method, for which a list of potential participants seen within the past year at each clinic was generated through the electronic health record and consecutively approached by research staff based on visit date to the clinic, and the traditional method, for which recruitment included posters, flyers, social media, and press release. Clinics were randomized to the order in which the 2 methods were implemented in 4-week periods, followed by a 4-week catch-up period using the method found most effective in previous periods.

MAIN OUTCOMES AND MEASURES

For each recruitment method, the number and proportion of randomized children among those who were approached was calculated.

RESULTS

A total of 104 participants were randomized (58 girls [55.8%]; mean age, 9.3 [95% CI, 9.0-9.6] years). Using the active method, 535 child-parent dyads were approached and 99 (18.5% [95% CI, 15.3%-22.1%]) were randomized. Using the traditional method, 23 caregivers expressed interest, and 5 (21.7% [95% CI, 7.5%-43.7%]) were randomized. All sites reached full enrollment using the active method and no sites achieved full enrollment using the traditional method. Mean time to full enrollment was 26.3 (range, 21.0-31.0) days.

CONCLUSIONS AND RELEVANCE

This study supports the use of the active approach with local primary care clinics to recruit children with overweight and obesity from rural communities into clinical trials.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04142034.

A rural-urban comparison of self-management in people living with cancer following primary treatment: A mixed methods study

OBJECTIVE

To investigate and compare self-management in people living with cancer following treatment, from rural and urban areas in the United Kingdom where there is a significant evidence gap.

METHODS

A cross-sectional explanatory sequential mixed methods design. This involved a self-completion questionnaire that collected data on demographics, self-management using the PAM-13 and rural-urban residence and 34 in-depth interviews that aimed to explore and compare the barriers and facilitators to self-management in rural and urban settings.

RESULTS

227 participants completed the questionnaire: mean age 66.86 (±11.22). Fifty-two percent (n = 119) were female and 48% (n = 108) were male. Fifty-three percent (n = 120) resided in urban areas and 45 % (n = 103) in rural areas. Participants had a range of different types of cancer but the three most common were breast (n = 73), urological (n = 53), upper and lower gastrointestinal (n = 41). Rural respondents (63.31 ± 13.66) were significantly (p < 0.05) more activated than those in urban areas (59.59 ± 12.75). The barriers and facilitators to self-management identified in the interviews were prevalent in both rural and urban settings but some barriers were more explicit in rural settings. For example, there was a lack of bespoke support in rural areas and participants acknowledged how travelling long distances to urban centres for support groups was problematic. Equally, there were barriers and facilitators that were not necessarily unique to either geographic setting.

CONCLUSION

Whilst the active treatment phase can present considerable challenges for people living with cancer in rural areas the findings suggest that the rural environment has the potential to increase engagement with self-management in the transition to survivorship. The rigorous mixed methods design has led to different and complementary conclusions that would not have been possible had either quantitative or qualitative methods been used in isolation.

The Impact of Race–Ethnicity and Diagnosis of Alzheimer’s Disease and Related Dementias on Mammography Use

Simple Summary

Analyzing real-world data from the OneFlorida+ Clinical Research Network, we examined the impact of ADRD diagnosis and race–ethnicity on mammography use in breast cancer screening (BCS)-eligible women. We found that BCS-eligible women with Alzheimer’s disease (AD) and AD-related dementias (ADRD) were more likely to undergo a mammography than the BCS-eligible women without ADRD. Stratified by race–ethnicity, BCS-eligible Hispanic women with ADRD were more likely to undergo a mammography, whereas BCS-eligible non-Hispanic black and non-Hispanic other women with ADRD were less likely to undergo a mammography.

Abstract

Breast cancer screening (BCS) with mammography is a crucial method for improving cancer survival. In this study, we examined the association of Alzheimer’s disease (AD) and AD-related dementias (ADRD) diagnosis and race–ethnicity with mammography use in BCS-eligible women. In the real-world data from the OneFlorida+ Clinical Research Network, we extracted a cohort of 21,715 BCS-eligible women with ADRD and a matching comparison cohort of 65,145 BCS-eligible women without ADRD. In multivariable regression analysis, BCS-eligible women with ADRD were more likely to undergo a mammography than the BCS-eligible women without ADRD (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.13–1.26). Stratified by race–ethnicity, BCS-eligible Hispanic women with ADRD were more likely to undergo a mammography (OR = 1.56, 95% CI = 1.39–1.75), whereas BCS-eligible non-Hispanic black (OR = 0.72, 95% CI = 0.62–0.83) and non-Hispanic other (OR = 0.65, 95% CI = 0.45–0.93) women with ADRD were less likely to undergo a mammography. This study was the first to report the impact of ADRD diagnosis and race–ethnicity on mammography use in BCS-eligible women using real-world data. Our results suggest ADRD patients might be undergoing BCS without detailed guidelines to maximize benefits and avoid harms.

Geographic differences in community oncology provider and practice location characteristics in the central United States

PURPOSE

How care delivery influences urban-rural disparities in cancer outcomes is unclear. We sought to understand community oncologists' practice settings to inform cancer care delivery interventions.

METHODS

We conducted secondary analysis of a national dataset of providers billing Medicare from June 1, 2019 to May 31, 2020 in 13 states in the central United States. We used Kruskal-Wallis rank and Fisher's exact tests to compare physician characteristics and practice settings among rural and urban community oncologists.

FINDINGS

We identified 1,963 oncologists practicing in 1,492 community locations; 67.5% practiced in exclusively urban locations, 11.3% in exclusively rural locations, and 21.1% in both rural and urban locations. Rural-only, urban-only, and urban-rural spanning oncologists practice in an average of 1.6, 2.4, and 5.1 different locations, respectively. A higher proportion of rural community sites were solo practices (11.7% vs 4.0%, P<.001) or single specialty practices (16.4% vs 9.4%, P<.001); and had less diversity in training environments (86.5% vs 67.8% with <2 medical schools represented, P<.001) than urban community sites. Rural multispecialty group sites were less likely to include other cancer specialists.

CONCLUSIONS

We identified 2 potentially distinct styles of care delivery in rural communities, which may require distinct interventions: (1) innovation-isolated rural oncologists, who are more likely to be solo providers, provide care at few locations, and practice with doctors with similar training experiences; and (2) urban-rural spanning oncologists who provide care at a high number of locations and have potential to spread innovation, but may face high complexity and limited opportunity for care standardization.

Improving cancer care locally: Study of a hospital affiliate network model

PURPOSE

The University of Kentucky Markey Cancer Center Affiliate Network (MCCAN) increased access to high-quality cancer care for patients treated in community hospitals across the state by leveraging the American College of Surgeons Commission on Cancer (CoC) standards to improve quality among its member sites. This study describes the network activities and services identified as most helpful or effective to its members, as well as the perceived value of joining MCCAN or pursing accreditation.

METHODS

An independent research team conducted in-depth, semistructured interviews with 18 administrators and clinicians from 10 MCCAN hospitals in 2019. Interviews were transcribed and a thematic analysis was conducted.

FINDINGS

Network affiliation and CoC accreditation were perceived as helpful to improving quality of care. Having both clinician and administrative champions were key facilitators to achieving CoC standards and made mentoring of member sites a critical activity of the Network. Other components identified as valuable and/or key to the Network's success included providing access to specific CoC-required clinical services (eg, genetic counseling); offering regular performance monitoring and individualized feedback; establishing a culture of quality improvement; and fostering trust within the Network with patient referrals (ie, sending patients back to their local hospital for ongoing care).

CONCLUSIONS

Quality improvement in community cancer programs is challenging but several strategies were identified by members as valuable and effective. Efforts to disseminate the MCCAN model should focus on identifying the needs of community hospitals, implementing a quality monitoring system, and fostering site-level champions who can be influential drivers of change.

The Road Less Traveled: Transportation Barriers to Cancer Care Delivery in the Rural Patient Population

Patients with cancer residing in geographically rural areas experience lower rates of preventative screening, more advanced disease at presentation, and higher mortality rates compared with urban populations. Although multiple factors contribute, access to transportation has been proposed as a critical barrier affecting timeliness and quality of health care delivery in rural populations. Patients from geographically rural regions may face a variety of transportation barriers, including lack of public transportation, limited access to private vehicles, and increased travel distance to specialized oncologic care. A search using PubMed was conducted to identify articles pertaining to transportation barriers to cancer care and tested interventions in rural patient populations. Studies demonstrate that transportation barriers are associated with delayed follow-up after abnormal screening test results, decreased access to specialized oncology care, and lower rates of receipt of guideline-concordant treatment. Low clinical trial enrollment and variability in survivorship care are also linked to transportation barriers in rural patient populations. Given the demonstrated impact of transportation access on equitable cancer care delivery, several interventions have been tested. Telehealth visits and outreach clinics appear to reduce patient travel burden and increase access to specialized care, and patient navigation programs are effective in connecting patients with local resources, such as free or subsidized nonemergency medical transportation. To ensure equal access to high-quality cancer care and reduce geographic disparities, the design and implementation of tailored, multilevel interventions to address transportation barriers affecting rural communities is critical.

Hospital Rurality and Gene Expression Profiling for Early-Stage Breast Cancer among Iowa Residents (2010-2018)

Objective

Given the challenges rural cancer patients face in accessing cancer care as well as the slower diffusion and adoption of new medical technologies among rural providers, the aim of our study was to examine trends in gene expression profiling (GEP) testing and evaluate the association between hospital rurality and receipt of GEP testing.

Methods

Data from the Iowa Cancer Registry (ICR) were used to identify women with newly diagnosed, histologically confirmed breast cancer from 2010 through 2018 who met eligibility criteria for GEP testing. Patients were allocated to the hospitals where their most definitive surgical treatment was received, and Rural-Urban Commuting Area codes were used to categorize hospitals into urban (N = 43), large rural (N = 16), and small rural (N = 48). Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated using multivariable logistic regression to evaluate the association between hospital rurality and GEP test use, adjusting for demographic and clinical characteristics. The association between test result and treatment received was assessed among patients who received Oncotype DX (ODX) testing.

Results

Of 6,726 patients eligible for GEP test use, 46% (N = 3,069) underwent testing with 95% receiving ODX. While overall GEP testing rates increased over time from 42% between 2010 and 2012 to 51% between 2016 and 2018 (P _trend < 0.0001), use continued to be the lowest among patients treated at hospitals in small rural areas. The odds of GEP testing remained significantly lower among patients treated at hospitals located in small rural areas (aOR 0.55; 95% CI 0.43-0.71), after adjusting for demographic and clinical characteristics. ODX recurrence scores were highly correlated with chemotherapy use across all strata of hospital rurality.

Conclusions

GEP testing continues to be underutilized, especially among those treated at small rural hospitals. Targeted interventions aimed at increasing rates of GEP testing to ensure the appropriate use of adjuvant chemotherapy may improve health outcomes and lower treatment-related costs.

Adoption of Telemedicine in a Rural US Cancer Center Amid the COVID-19 Pandemic: Qualitative Study

BACKGROUND

The COVID-19 pandemic necessitated a rapid shift to telemedicine to minimize patient and provider exposure risks. While telemedicine has been used in a variety of primary and specialty care settings for many years, it has been slow to be adopted in oncology care. Health care provider and administrator perspectives on factors affecting telemedicine use in oncology settings are not well understood, and the conditions associated with the COVID-19 pandemic offered the opportunity to study the adoption of telemedicine and the resulting provider and staff perspectives on its use.

OBJECTIVE

The aim of this paper is to study the factors that influenced telemedicine uptake and sustained use in outpatient oncology clinics at a US cancer center to inform future telemedicine practices.

METHODS

We used purposive sampling to recruit a mix of oncology specialty providers, practice managers, as well as nursing and administrative staff representing 5 outpatient oncology clinics affiliated with the Dartmouth Cancer Center, a large regional cancer center in the northeast of United States, to participate in semistructured interviews conducted over 6 weeks in spring 2021. The interview guide was informed by the 5 domains of the Consolidated Framework for Implementation Research, which include inner and outer setting factors, characteristics of the intervention (ie, telemedicine modality), individual-level factors (eg, provider and patient characteristics), and implementation processes. In total, 11 providers, 3 leaders, and 6 staff participated following verbal consent, and thematic saturation was reached across the full sample. We used a mixed deductive and inductive qualitative analysis approach to study the main influences on telemedicine uptake, implementation, and sustainability during the first year of the COVID-19 pandemic across the 5 settings.

RESULTS

The predominant influencers of telemedicine adoption in this study were individual provider experiences and assumptions about patient preference and accessibility. Providers' early telemedicine experiences, especially if negative, influenced preferences for telephone over video and affected sustained use. Telemedicine was most favorably viewed for lower-acuity cancer care, visits less dependent on physical exam, and for patient and caregiver education. A lack of clinical champions, leadership guidance, and vision hindered the implementation of standardized practices and were cited as essential for telemedicine sustainability. Respondents expressed anxiety about sustaining telemedicine use if reimbursements for telephonic visits diminished or ceased. Opportunities to enhance future efforts include a need to provide additional guidance supporting telemedicine use cases and evidence of effectiveness in oncology care and to address provider concerns with communication quality.

CONCLUSIONS

In a setting of decentralized care processes, early challenges in telemedicine implementation had an outsized impact on the nature and amount of sustained use. Proactively designed telemedicine care processes with attention to patient needs will be essential to support a sustained role for telemedicine in cancer care.

An Exploration of Rural-Urban Residence on Self-Reported Health Status with UK Cancer Survivors Following Treatment: A Brief Report

Objective: To explore the effect of rural−urban residence on the self-reported health status of UK cancer survivors following primary treatment. Design: A post-positivist approach utilizing a cross-sectional survey that collected data on demographics, postcode and self-reported health status. Methods: An independent samples t test was used to detect differences in health status between rural and urban respondents. Pearson’s χ2 was used to control for confounding variables and a multivariate analysis was conducted using Stepwise linear regression. Setting: East Midlands of England. Participants: Adult cancer survivors who had undergone primary treatment in the last five years. Participants were excluded if they had recurrence or metastatic spread, started active oncology treatment in the last twelve months, and/or were in receipt of palliative or end-of-life care. Main outcome: Residence was measured using the UK Office for National Statistics (ONS) RUC2011 Rural−Urban Classifications and Health Status via the UK ONS self-reported health status measure. Ethics: The study was reviewed and approved (Ref: 17/WS/0054) by an NHS Research Ethics Committee and the Health Research Authority (HRA) prior to recruitment and data collection taking place. Results: 227 respondents returned a questionnaire (response rate 27%). Forty-five percent (n = 103) were resident in a rural area and fifty-three percent (n = 120) in an urban area. Rural (4.11 ± 0.85) respondents had significantly (p < 0.001) higher self-reported health statuses compared to urban (3.65 ± 0.93) respondents (MD 0.47; 95% CI 0.23, 0.70). Conclusion: It is hoped that the results will stimulate further work in this area and that researchers will be encouraged to collect data on rural−urban residency where appropriate.

Cost-Related Medication Nonadherence and Patient Cost Responsibility for Rural and Urban Cancer Survivors

PURPOSE

The relationship between out-of-pocket spending and cost-related medication nonadherence among older rural- and urban-dwelling cancer survivors is not well understood.

METHODS

This retrospective cohort study used the Surveillance, Epidemiology, and End Results Program, Medicare claims, and the Consumer Assessment of Healthcare Providers and Systems survey linked data resource linked data (2007-2015) to investigate the relationship between cancer survivors' cost responsibility in the year before and after report of delaying or not filling a prescription medication because of cost in the past 6 months (cost-related medication nonadherence). Secondary exposures and outcomes included Medicare spending and utilization. Generalized linear models assessed bidirectional relationships between cost-related medication nonadherence, spending, and utilization. Effects of residence were assessed via interaction terms.

RESULTS

Of 6,591 older cancer survivors, 13% reported cost-related medication nonadherence. Survivors were a median 8 years (interquartile range, 4.5-12.5 years) from their cancer diagnosis, 15% were dually Medicare/Medicaid-eligible, and prostate (40%) and breast (32%) cancer survivors were most prevalent. With every $500 USD increase in patient cost responsibility, risk of cost-related medication nonadherence increased by 3% (risk ratio, 1.03; 95% CI, 1.02 to 1.04). After report of cost-related medication nonadherence, patient cost responsibility was 22% higher (95% CI, 1.11 to 1.32) compared with those not reporting nonadherence, amounting to $523 USD (95% CI, $430 USD to $630 USD). Medicare spending and utilization were also higher before and after report of cost-related nonadherence versus none. For survivors residing in rural (18%) and urban (82%) areas, residence did not modify adherence or cost outcomes.

CONCLUSION

A bidirectional relationship exists between patient cost responsibility and cost-related medication nonadherence. Interventions reducing urban- and rural-dwelling survivor health care costs and cost-related adherence barriers are needed.

Adapting a Cancer Screening Education Program for Native American Women with Disabilities

Like other minoritized groups, people with disabilities experience lack of access to health care. People with intellectual and developmental disabilities (IDD), which are lifelong disabilities diagnosed in childhood requiring varying levels of support for completing daily activities, are less likely to receive preventive health care such as cancer screening. Furthermore, Native American women are less likely than White women to receive cancer screenings. In this qualitative research with Native American women with IDD, their caregivers, healthcare and service providers, and community leaders, we asked, “What are the influences on breast and cervical cancer screening for Native American women with IDD?” with the goal of adapting an existing cancer screening education program. Semi-structured in-depth interviews (N = 48) were audio recorded and transcribed verbatim for analysis. Two coders used a constant comparative method to code and revise the a priori codebook with subthemes and new codes. Results highlighted individual, interpersonal, and community/institutional influences on screening, emphasizing the individual effects of social inequity on this population, the importance of ableist bias in recommending cancer screenings, and opportunities to integrate traditional ways of knowing with allopathic medicine. Results of this work were used to adapt a cancer screening education program for Native American women with IDD.

"Doing Good" in U.S. Cancer Genomics? Valuation practices across the boundaries of research and care in rural community oncology

Genomic Tumour Testing (GTT) is an emerging site of "experimental care" in oncology [Cambrosio, Alberto, Peter Keating, Etienne Vignola-Gagné, Sylvain Besle, and Pascale Bourret. 2018a. "Extending Experimentation: Oncology's Fading Boundary Bbetween Research and Care." New Genetics and Society 37 (3): 207-226. doi: 10.1080/14636778.2018.1487281]. Few efforts to implement GTT have reached community oncology practices or patients living in rural communities within the US. Drawing on interdisciplinary research on a state-wide cancer genomics initiative in the rural US state of Maine, this paper explores the valuation practices within community oncologist and cancer stakeholders accounts of "doing good" within genomic science and care. We contribute to STS literatures on the bio-economy by highlighting the affective dimensions of strategies for managing economic and non-economic values. Clinician and stakeholders negotiated de-economizing and capitalizing modes of doing good as they built local genomic platforms "for Maine." These situated modes of doing good and feeling good via cancer genomics shaped how they navigated the ethical ambiguities of US biomedical markets across the boundaries of research and care.

Disparities in outcomes among patients diagnosed with cancer in proximity to an emergency department visit

A suspected diagnosis of cancer in the emergency department (ED) may be associated with poor outcomes, related to health disparities, however data are limited. This is a retrospective observational cohort of the Indiana State Department of Health Cancer Registry, and the Indiana Network for Patient Care. First time cancer diagnoses appearing in the registry between January 2013 and December 2017 were included. Cases identified as patients who had an ED visit in the 6 months before their cancer diagnosis; controls had no preceding ED visits. The primary outcome was mortality, comparing ED-associated mortality to non-ED-associated. 134,761 first-time cancer patients were identified, including 15,432 (11.5%) cases. The mean age was same at 65, more of the cases were Black than the controls (12.4% vs 7.4%, P < .0001) and more were low income (36.4%. vs 29.3%). The top 3 ED-associated cancer diagnoses were lung (18.4%), breast (8.9%), and colorectal cancers (8.9%), whereas the controls were breast (17%), lung (14.9%), and prostate cancers (10.1%). Cases observed an over three-fold higher mortality, with cumulative death rate of 32.9% for cases vs 9.0% for controls (P < .0001). Regression analysis predicting mortality, controlling for many confounders produced an odds ratio of 4.12 (95% CI 3.72-4.56 for cases). This study found that an ED visit within 6 months prior to the first time of ICD-coded cancer is associated with Black race, low income and an overall three-fold increased adjusted risk of death. The mortality rates for ED-associated cancers are uniformly worse for all cancer types. These data suggest that additional work is needed to reduce disparities among ED-associated cancer diagnoses.

Rural-Urban Disparities in Health Access Factors Over Time: Implications for Cancer Prevention and Health Equity in the Midwest

Purpose

Population-level environmental and socioeconomic factors may influence cancer burden within communities, particularly in rural and urban areas that may be differentially impacted by factors related to health care access.

Methods

The University of Kansas (KU) Cancer Center serves a geographically large diverse region with 75% of its 123 counties classified as rural. Using County Health Rankings data and joinpoint regression, we examined trends in four factors related to the socioeconomic environment and health care access from 2009 to 2017 in rural and urban counties across the KU Cancer Center catchment area.

Findings

The adult health uninsurance rate declined significantly in rural and urban counties across the catchment area (rural annual percent change [APC]=-5.96; 95% CI=[-7.71 to -4.17]; urban APC=-5.72; 95% CI=[-8.03 to -3.35]). Childhood poverty significantly decreased in rural counties over time (APC=-2.94; 95% CI=[-4.52 to -1.33]); in contrast, urban childhood poverty rates did not significantly change before 2012 (APC=3.68; 95% CI=[-15.12 to 26.65]), after which rates declined (APC=-5.89; 95% CI=[-10.01 to -1.58]). The number of primary care providers increased slightly but significantly in both rural and urban counties (APC=0.54; 95% CI=[0.28 to 0.80]), although urban counties had more primary care providers than rural areas (76.1 per 100K population vs. 57.1 per 100K population, respectively; p=0.009). Unemployment declined significantly faster in urban counties (APC=-10.33; 95% CI=[-12.16 to -8.47]) compared with rural counties (APC=-6.71; 95% CI=[-8.22 to -5.18]) (p=0.02).

Conclusion

Our findings reveal potential disparities in systemic factors that may contribute to differences in cancer prevention, care, and survivorship in rural and urban regions.

Rural disparities in head and neck cancer from 2017 to 2021: a single institution analysis

Introduction:

This study aims to look at the trends in our head and neck cancer patient population over the past 5 years with an emphasis on the past 2 years to evaluate how the coronavirus disease 2019 (COVID-19) pandemic has impacted our disparities and availability of care for patients, especially those living in rural areas. An additional aim is to identify existing disparities at our institution in the treatment of head and neck patients and determine solutions to improve patient care.

Materials and Methods:

A retrospective chart review was performed to identify patients who were consulted and subsequently treated with at least one fraction of radiation therapy at our institution with palliative or curative intent. Patient demographic information was collected including hometown, distance from the cancer centre based on zip-codes and insurance information and type of appointment (in-person or telehealth). Rural–urban continuum codes were used to determine rurality.

Results:

A total of 490 head and neck cancer patients (n = 490) were treated from 2017 to 2021. When broken down by year, there were no significant trends in patient population regarding travel distance or rurality. Roughly 20–30% of our patients live in rural areas and about 30% have a commute > 50 miles for radiation treatment. A majority of our patients rely on public insurance (68%) with a small percentage of those uninsured (4%). Telehealth visits were rare prior to 2019 and rose to 5 and 2 visits in 2020 and 2021, respectively.

Conclusions:

Head and neck cancer patients, despite rurality or distance from a cancer centre, may present with alarmingly enough symptoms despite limitations and difficulties with seeking medical attention even during the COVID-19 pandemic in 2020. However, providers must be aware of these potential disparities that exist in the rural population and seek to address these.

Rural-Urban Differences in Common Mental Disorders, Functional Limitation and Social Support among Adults with Cancer: A Population-Based Study in Spain

The psychological, physical and social well-being components may differ for cancer patients living in urban vs. rural zones. This study aimed to examine the common mental disorders (CMDs), functional limitation (FL) and perceived social support (PSS) of rural and urban Spanish cancer patients from 2006 to 2017, to compare sociodemographic variables, health-related determinants and use of healthcare resources and to identify which sociodemographic and health-related factors were related to CMDs, FL and PSS. We performed a cross-sectional study among cancer patients using data from the Spanish National Health Surveys (2006, 2011 and 2017). A total of 698 of the subjects resided in rural areas and 1824 in urban areas. Binary logistic and multiple linear regressions were performed to determine the factors related to CMDs, FL and PSS. Rural residents visited their general practitioners more frequently than the city dwellers (61.03% vs. 56.63%, p = 0.04). A decreased prevalence of CMDs was observed among urban individuals over time (2006: 39.13%, 2011: 38.87%, 2017: 34.30%; p for trend = 0.04). Among rural residents, FL was associated with age, educational level and self-perceived health status, while among city dwellers, PSS was linked to marital status, nationality, having chronic conditions and self-perceived health status.

Demographic differences among patients treated with chimeric antigen receptor T-cell therapy in the United States

BACKGROUND

It is not clear if all Americans have benefitted equally from the availability of chimeric antigen receptor T-cell (CART) therapy. We aimed to evaluate if demographic differences existed among adult patients who received CART therapy and to assess predictors of CART treatment outcomes.

METHODS

Records of patients ≥18 years who received CART therapy for non-Hodgkin's lymphoma, acute lymphoblastic leukemia, and multiple myeloma in 2018 were evaluated in the National Inpatient Sample. Acute complications and inhospital mortality were compared between two groups of CART recipients: Whites and non-Whites. Logistic regression analysis was used to evaluate the association between sociodemographic factors and inhospital mortality.

RESULTS

Of 1275 CART recipients that met inclusion criteria, there were 40.4% of females, 66.9% of Whites, Blacks (4.2%), Hispanics (13.3%), Asians or Pacific Islanders (4.2%), and Native Americans (1.3%). Up to 96.8% of CART procedures were performed in urban teaching hospitals, and 85.3% of CART recipients lived in metropolitan counties. Non-Whites, compared to Whites, were younger at the time of CART therapy (p < 0.001). The inhospital mortality rate was higher in non-Whites, though not statistically significant (5.4% vs. 4.4%, p = 0.764). There were no differences in length of hospital stay, hospital charges, or rates of acute toxicities between the two race groups. We found no association between race and treatment outcomes. Gender, neurotoxicity, and Charlson Comorbidity Index were significant predictors of inhospital mortality.

CONCLUSIONS

CART therapy recipients in the United States were more likely to be Whites and more likely to be residents of metropolitan areas. These observed demographic differences were not associated with treatment outcomes or inhospital mortalities.

Assessing the Coverage of US Cancer Center Primary Catchment Areas

BACKGROUND

Cancer centers are expected to engage communities and reduce the burden of cancer in their catchment areas. However, the extent to which cancer centers adequately reach the entire US population is unknown.

METHODS

We surveyed all members of the Association of American Cancer Institutes (N = 102 cancer centers) to document and map each cancer center's primary catchment area. Catchment area descriptions were aggregated to the county level. Catchment area coverage scores were calculated for each county and choropleths generated representing coverage across the US. Similar analyses were used to overlay US population density, cancer incidence, and cancer-related mortality compared with each county's cancer center catchment area coverage.

RESULTS

Roughly 85% of US counties were included in at least one cancer center's primary catchment area. However, 15% of US counties, or roughly 25 million Americans, do not reside in a catchment area. When catchment area coverage was integrated with population density, cancer incidence, and cancer-related mortality metrics, geographical trends in both over- and undercoverage were apparent.

CONCLUSIONS

Geographic gaps in cancer center catchment area coverage exist and may be propagating cancer disparities. Efforts to ensure coverage to all Americans should be a priority of cancer center leadership.

IMPACT

This is the first known geographic analysis and interpretation of the primary catchment areas of all US-based cancer centers and identifies key geographic gaps important to target for disparities reduction. See related commentary by Lieberman-Cribbin and Taioli, p. 949.

Identifying Core Functions of an Evidence-Based Intervention to Improve Cancer Care Quality in Rural Hospitals

Background

Rural patients experience worse cancer survival outcomes than urban patients despite similar incidence rates, due in part to significant barriers to accessing quality cancer care. Community hospitals in non-metropolitan/rural areas play a crucial role in providing care to patients who desire and are able to receive care locally. However, rural community hospitals typically face challenges to providing comprehensive care due to lack of resources. The University of Kentucky's Markey Cancer Center Affiliate Network (MCCAN) is an effective complex, multi-level intervention, improving cancer care in rural/under-resourced hospitals by supporting them in achieving American College of Surgeons Commission on Cancer (CoC) standards. With the long-term goal of adapting MCCAN for other rural contexts, we aimed to identify MCCAN's core functions (i.e., the components key to the intervention's effectiveness/implementation) using theory-driven qualitative data research methods.

Methods

We conducted eight semi-structured virtual interviews with administrators, coordinators, clinicians, and certified tumor registrars from five MCCAN affiliate hospitals that were not CoC-accredited prior to joining MCCAN. Study team members coded interview transcripts and identified themes related to how MCCAN engaged affiliate sites in improving care quality (intervention functions) and implementing CoC standards (implementation functions) and analyzed themes to identify core functions. We then mapped core functions onto existing theories of change and presented the functions to MCCAN leadership to confirm validity and completeness of the functions.

Results

Intervention core functions included: providing expertise and templates for achieving accreditation, establishing a culture of quality-improvement among affiliates, and fostering a shared goal of quality care. Implementation core functions included: fostering a sense of community and partnership, building trust between affiliates and Markey, providing information and resources to increase feasibility and acceptability of meeting CoC standards, and mentoring and empowering administrators and clinicians to champion implementation.

Conclusion

The MCCAN intervention presents a more equitable strategy of extending the resources and expertise of large cancer centers to assist smaller community hospitals in achieving evidence-based standards for cancer care. Using rigorous qualitative methods, we distilled this intervention into its core functions, positioning us (and others) to adapt the MCCAN intervention to address cancer disparities in other rural contexts.

Addressing the Needs of Older Adults With Cancer in Low- and Middle-Income Settings

The number of older adults in the world is projected to increase steeply over the next 30 years; most older adults will live in low- and middle-income countries. This will have a direct impact on the global cancer burden, as cancer is largely a disease of aging. A revolution in the way we care for older adults in low- and middle-income settings is needed to meet rapidly rising demands. Regardless of a nation's relative wealth or resources, implementing the geriatric assessment in cancer care has presented a challenge because of omission of the principles of geriatric oncology from formal training and continuing education, lack of time, and a shortage of qualified personnel. To meet the challenge of caring for older adults globally, we must: (1) re-imagine aging-focused training for providers and nurses, (2) create and strengthen collaborations/partnerships between geriatric oncology teams and aging-service organizations, and (3) increase advocacy for age-friendly health care policy. By harnessing technology, the reach of specialized oncology education and care can be extended even-or especially-to low- and middle-income settings.

Accrual and Retention of Diverse Patients in Psychosocial Cancer Clinical Trials

Background:

Minority and older adult patients remain underrepresented in cancer clinical trials (CCTs). The current study sought to examine sociodemographic inequities in CCT interest, eligibility, enrollment, decline motivation, and attrition across two psychosocial CCTs for gynecologic, gastrointestinal, and thoracic cancers.

Methods:

Patients were approached for recruitment to one of two interventions: (1) a randomized control trial (RCT) examining effects of a cognitive-behavioral intervention targeting sleep, pain, mood, cytokines, and cortisol following surgery, or (2) a yoga intervention to determine its feasibility, acceptability, and effects on mitigating distress. Prospective RCT participants were queried about interest and screened for eligibility. All eligible patients across trials were offered enrollment. Patients who declined yoga intervention enrollment provided reasons for decline. Sociodemographic predictors of enrollment decisions and attrition were explored.

Results:

No sociodemographic differences in RCT interest were observed, and older patients were more likely to be ineligible. Eligible Hispanic patients across trials were significantly more likely to enroll than non-Hispanic patients. Sociodemographic factors predicted differences in decline motivation. In one trial, individuals originating from more urban areas were more likely to prematurely discontinue participation.

Discussion:

These results corroborate evidence of no significant differences in CCT interest across minority groups, with older adults less likely to fulfill eligibility criteria. While absolute Hispanic enrollment was modest, Hispanic patients were more likely to enroll relative to non-Hispanic patients. Additional sociodemographic trends were noted in decline motivation and geographical prediction of attrition. Further investigation is necessary to better understand inequities, barriers, and best recruitment practices for representative CCTs.

Strategies to Advance Equity in Cancer Clinical Trials

Cancer clinical trials are critical for testing new treatments, yet less than 5% of patients with cancer enroll in these trials. Minority groups, elderly individuals, and rural populations are particularly underrepresented in cancer treatment trials. Strategies for advancing equity in cancer clinical trials for these populations include (1) optimizing clinical trial matching by broadening eligibility criteria, screening all patients for trial eligibility, expanding the number of trials against which patients are screened, and following up on all patient matches with an enrollment invitation; (2) conducting site self-assessments to identify clinical-, patient-, provider-, and system-level barriers that contribute to low rates of clinical trial screening and enrollment; (3) creating a quality improvement plan that addresses the barriers to enrollment and incorporates the use of tools and strategies such as clinical trial checklists; workforce development and trainings to improve cultural competence and reduce unconscious bias; guides to promote community education, outreach and engagement with cancer clinical trials; screening and accrual logs designed to measure participation by demographics; models of informed consent that improve understanding; clinical trial designs that reduce accessibility barriers; use of cancer clinical trial patient navigators; and programs to eliminate barriers to participation and out-of-pocket expenses; and (4) working with stakeholders to develop both protocols that are inclusive of diverse populations' geographic locations, and strategies to access those trials. These actions will support greater access for populations that have remained underrepresented in cancer clinical trials and thereby increase the generalizability and efficiency of cancer research.

The Impact of Commission on Cancer Accreditation Status, Hospital Rurality and Hospital Size on Quality Measure Performance Rates

BACKGROUND

Rural cancer patients receive lower-quality care and experience worse outcomes than urban patients. Commission on Cancer (CoC) accreditation requires hospitals to monitor performance on evidence-based quality measuresPlease confirm the list of authors is correc, but the impact of accreditation is not clear due to lack of data from non-accredited facilities and confounding between patient rurality and hospital accreditation, rurality, and size.

METHODS

This retrospective, observational study assessed associations between rurality, accreditation, size, and performance rates for four CoC quality measures (breast radiation, breast chemotherapy, colon chemotherapy, colon nodal yield). Iowa Cancer Registry data were queried to identify all eligible patients diagnosed between 2011 and 2017. Cases were assigned to the surgery hospital to calculate performance rates. Univariate and multivariate regression models were fitted to identify patient- and hospital-level predictors and assess trends.

RESULTS

The study cohort included 10,381 patients; 46% were rural. Compared with urban patients, rural patients more often received treatment at small, rural, and non-accredited facilities (p < 0.001 for all). Rural hospitals had fewer beds and were far less likely to be CoC-accredited than urban hospitals (p < 0.001 for all). On multivariate analysis, CoC accreditation was the strongest, independent predictor of higher hospital performance for all quality measures evaluated (p < 0.05 in each model). Performance rates significantly improved over time only for the colon nodal yield quality measure, and only in urban hospitals.

CONCLUSIONS

CoC accreditation requires monitoring and evaluating performance on quality measures, which likely contributes to better performance on these measures. Efforts to support rural hospital accreditation may improve existing disparities in rural cancer treatment and outcomes.

American Cancer Society's report on the status of cancer disparities in the United States, 2021

In this report, the authors provide comprehensive and up-to-date US data on disparities in cancer occurrence, major risk factors, and access to and utilization of preventive measures and screening by sociodemographic characteristics. They also review programs and resources that have reduced cancer disparities and provide policy recommendations to further mitigate these inequalities. The overall cancer death rate is 19% higher among Black males than among White males. Black females also have a 12% higher overall cancer death rate than their White counterparts despite having an 8% lower incidence rate. There are also substantial variations in death rates for specific cancer types and in stage at diagnosis, survival, exposure to risk factors, and receipt of preventive measures and screening by race/ethnicity, socioeconomic status, and geographic location. For example, kidney cancer death rates by sex among American Indian/Alaska Native people are ≥64% higher than the corresponding rates in each of the other racial/ethnic groups, and the 5-year relative survival for all cancers combined is 14% lower among residents of poorer counties than among residents of more affluent counties. Broad and equitable implementation of evidence-based interventions, such as increasing health insurance coverage through Medicaid expansion or other initiatives, could substantially reduce cancer disparities. However, progress will require not only equitable local, state, and federal policies but also broad interdisciplinary engagement to elevate and address fundamental social inequities and longstanding systemic racism.

Feasibility and efficacy of early docetaxel plus androgen deprivation therapy for metastatic hormone-sensitive prostate cancer in a rural health care setting

AIM/BACKGROUND

The aim of this study was to evaluate the feasibility and efficacy, in terms of overall survival, of intensified upfront systemic therapy in patients with metastatic hormone-sensitive prostate cancer who lived in rural Nordland County, Norway.

PATIENTS AND METHODS

Overall 117 patients were included in this retrospective study. Three cohorts were created: early docetaxel and androgen deprivation therapy (ADT; the CHAARTED regimen; n = 37), ADT only during the same time period (2014-2020; n = 33), and ADT only in the years 2009-2014 (n = 47).

RESULTS

Four patients (11%) did not complete 6 cycles of docetaxel, one of these due to early progression of cancer. During follow-up, 8 patients (22%) progressed to castration-resistant disease (mCRPC), compared to 24 (73%) with ADT only and 35 (75%) in the historical cohort, p = 0.000001. Such progression occurred within 12 months in 3 patients (8%) treated with docetaxel and 9 patients (27%) treated with ADT only during the same time period, p = 0.05. Median survival was 56 months (95% CI: 40-72 months), compared to 30 months in both other cohorts. 3-year survival rates were 79%, 38% and 37%, respectively (p = 0.016). In multivariate analysis, the CHAARTED regimen was associated with significantly improved survival.

CONCLUSION

In this rural health care setting, early docetaxel was feasible and effective in reducing progression to mCRPC and prolonging survival. Median survival was very close to the 58 months reported in the CHAARTED trial.

Optimizing the Diagnosis and Biomarker Testing for Patients with Intrahepatic Cholangiocarcinoma: A Multidisciplinary Approach

Cholangiocarcinoma (CCA) is a heterogenous group of malignancies originating in the biliary tree, and associated with poor prognosis. Until recently, treatment options have been limited to surgical resection, liver-directed therapies, and chemotherapy. Identification of actionable genomic alterations with biomarker testing has revolutionized the treatment paradigm for these patients. However, several challenges exist to the seamless adoption of precision medicine in patients with CCA, relating to a lack of awareness of the importance of biomarker testing, hurdles in tissue acquisition, and ineffective collaboration among the multidisciplinary team (MDT). To identify gaps in standard practices and define best practices, multidisciplinary hepatobiliary teams from the University of California (UC) Davis and UC Irvine were convened; discussions of the meeting, including optimal approaches to tissue acquisition for diagnosis and biomarker testing, communication among academic and community healthcare teams, and physician education regarding biomarker testing, are summarized in this review.

Use of Telemedicine in Care of Hematologic Malignancy Patients: Challenges and Opportunities

Purpose of Review

For nearly 20 years, oncology specialty practices have been working to integrate telemedicine technologies into standard patient care models. However, hematology practices have been slower to adopt telemedicine due to traditional care models that rely on interdisciplinary regional care centers and their ability to provide comprehensive and centralized services. Patients have traditionally been able to access high-quality medical care, diagnostics, supportive care, and clinical trials from these regional care centers, but they are required to attend frequent in-person visits to access these services. Rural and underserved patients experience more barriers than their urban counterparts to access the same level of care.

Recent Findings

The COVID-19 pandemic has elevated telemedicine into the forefront of care, highlighting both promise and limitations to incorporating telemedicine into specialty hematology care.

Summary

Hematologists should consider the benefits of incorporating telemedicine technologies into standard-of-care practices to promote patient-centered care and provide equal access to all patient populations.

Qualitative analysis of cancer care experiences among rural cancer survivors and caregivers

PURPOSE

Rural (vs urban) patients experience poorer cancer outcomes and are less likely to be engaged in cancer prevention, such as screening. As part of a community needs assessment, we explored rural cancer survivors' and caregivers' experiences, perceptions, and attitudes toward cancer care services.

METHODS

We conducted 3 focus groups (N = 20) in Spring 2021 in rural Nebraska.

FINDINGS

Three patterns of cancer diagnosis were regular care/screening without noticeable symptoms, treatment for symptoms not initially identified as cancer related, and symptom self-identification. Most participants, regardless of how diagnosis was made, had positive experiences with timely referral for testing (imaging and biopsy) and specialist care. Physician interpersonal skills set the tone for patient-provider communication, which colored the perception of overall care. Participants with physicians and care teams that were perceived as "considerate," "compassionate," and "caring" had positive experiences. Participants identified specific obstacles to care, including financial barriers, transportation, and lack of support groups, as well as more general cultural barriers. Survivors and caregivers identified organization-based supports that helped them address such barriers.

CONCLUSIONS

Rural populations have unique perspectives about cancer care. Our results are being used by the state cancer coalition, state cancer control program, and the National Cancer Institute-designated cancer center to prioritize outreach and interventions aimed to reduce rural cancer disparities, such as revitalizing lay cancer navigator programs, conducting webinars for primary care and cancer specialty providers to discuss these findings and identify potential interventions, and collaborating with national and regional cancer support organizations to expand reach in rural communities.

Succinct Cancer Clinical Trial Consent Forms in Rural Patients With Cancer: A Secondary Analysis of a Randomized, Double-Blinded study

Rural patients are often underrepresented in cancer clinical trials. This is a secondary analysis of a study that tested short (2000 word) versus long (6000 word) consent forms with a focus on rurality. Among 240 patients, 89 (37%) were rural. Seventy-one (80%) rural and 117 (77%) nonrural patients signed a consent form of any length (P = .68). Forty-one of 47 (87%) rural patients signed a short consent form; in contrast, 30 of 42 (71%) signed a long form. These trends suggest rural patients are more likely to sign short consent forms. Further study is indicated.

Living in Rural Areas and Receiving Cancer Treatment Away From Home: A Qualitative Study Foregrounding Temporality

We used explorative interviews to gauge (inter)personal, physiological, and emotional challenges of seven rural cancer patients who traveled long distances to cancer treatment centers. After a thematic analysis, we foregrounded experiences of temporality by using a phenomenologically inspired approach. The analysis resulted in three themes: (a) An epiphany of “what really matters in life”—time gains new meaning, (b) Feeling out of sync with others and own body—striving for coherence and simultaneity, and (c) Being torn between benefits of home and treatments site—time and distance as a tangible aspect of traveling and being away. Under these themes, 13 meaning units were generated, which reflected changes in temporality. During treatment, life primarily revolved around repeating circles of travel arrangements, staying on top of treatment schedule, and synchronizing a home life with a life away from home. Nurses should provide comprehensive care to enhance stability in cancer patients’ temporal experiences.

Developing an Academic and Community Practice Collaborative Care Model for Metastatic Breast Cancer Care: A Protocol using the Dynamic Adaptation Process (Preprint)

Background

Metastatic breast cancer (MBC) remains incurable despite significant treatment advances. Coordinating care for patients with MBC can be challenging given the various treatment options, available clinical trials, and frequent need for ancillary services. To optimize MBC care, we designed a project for adapting and developing an academic and community practice collaborative care model for MBC care (Project ADAPT), based on the Ending Metastatic Breast Cancer for Everyone (EMBRACE) program developed at Dana Farber Cancer Institute.

Objective

We aim to describe the implementation science–based study design and innovative components of Project ADAPT.

Methods

Project ADAPT uses the Dynamic Adaptation Process informed by the Exploration, Preparation, Implementation, Sustainment framework. Washington University School of Medicine (WUSM) partnered with 3 community hospitals in the St. Louis region covering rural and urban settings. The exploration and preparation phases provide patient and provider feedback on current referral practices to finalize the approach for the implementation phase. At the implementation phase, we will enroll patients with MBC at these 3 community sites to evaluate potential collaborative care at WUSM and assess the impact of this collaborative care model on referral satisfaction and acceptability for patients with MBC and their providers. Patients may then return to their community site for care or continue to receive part of their care at WUSM. We are incorporating virtual and digital health strategies to improve MBC care coordination in order to minimize patient burden.

Results

The exploration phase is ongoing. As of August 2021, we have recruited 21 patient and provider participants to complete surveys of the current collaborative care process at WUSM. Using a 2-tailed paired t test, 44 patients (including 10 patients from the exploration phase) and 32 oncologists are required to detect an effect size of 0.5 with 80% power at a level of significance of .05. Throughout this phase and in preparation for the implementation phase, we have iteratively updated and refined our surveys for the implementation phase based on testing of our data collection instruments. Our partner sites are in various stages of the single institutional review board (IRB) approval process. We have ongoing engagement with all partner sites, which has helped solidify our participant recruitment strategies and design patient-friendly recruitment materials. In addition, we have included a patient advocate on the research team. Members of the research team have launched a single IRB Support Network at WUSM to create a repository of the single IRB procedures in order to streamline the partner site onboarding process and facilitate enhanced collaboration across institutions.

Conclusions

With this robust model, we expect that patients with MBC will receive optimal care regardless of geographical location and the model will improve patient and provider experiences when navigating the health system.

International Registered Report Identifier (IRRID)

DERR1-10.2196/35736

Multidisciplinary clinics for colorectal cancer may not provide more efficient coordination of care

BACKGROUND

This retrospective study compares a multidisciplinary clinic (MDC) to standard care for time to treatment of colorectal cancer.

METHODS

We queried our institutional ACS-NSQIP database for patients undergoing surgery for colorectal cancer from 2017 to 2020. Patients were stratified by initial clinic visit (MDC vs control). Primary endpoint was the time to start treatment (TST), either neoadjuvant therapy or surgery, from the date of diagnosis by colonoscopy.

RESULTS

A total of 405 patients were evaluated (115 MDC, 290 Control). TST from diagnosis was not significantly shorter for the MDC cohort (MDC 30 days, Control 37 days; p = 0.07) even when stratified by type of initial treatment of neoadjuvant therapy (MDC 30, Control 34 days; p = 0.28) or surgery (MDC 32.5 days, Control 38 days; p = 0.35).

CONCLUSION

Implementation of an MDC provides insignificant reduction in delay to start treatment for colorectal cancer patients as compared to standard care colorectal surgery clinics.

CLASSIFICATION

Colorectal.

Urban-Rural Variations in Quality of Care Among Patients With Cancer in California

INTRODUCTION

Previous research suggests cancer patients living in rural areas have lower quality of care, but population-based studies have yielded inconsistent results. This study examines the impact of rurality on care quality for 7 cancer types in California.

METHODS

Breast, ovarian, endometrial, cervix, colon, lung, and gastric cancer patients diagnosed from 2004 to 2017 were identified in the California Cancer Registry. Multivariable logistic regression and proportional hazards models were used to assess effects of residential location on quality of care and survival. Stratified models examined the impact of treatment at National Cancer Institute designated cancer centers (NCICCs). Quality of care was evaluated using Commission on Cancer measures. Medical Service Study Areas were used to assess urban/rural status. Data were collected in 2004-2019 and analyzed in 2020.

RESULTS

989,747 cancer patients were evaluated, with 14% living in rural areas. Rural patients had lower odds of receiving radiation after breast conserving surgery compared to urban residents. Colon and gastric cancer patients had 20% and 16% lower odds, respectively, of having optimal surgery. Rural patients treated at NCICCs had greater odds of recommended surgery for most cancer types. Survival was similar among urban and rural subgroups.

CONCLUSIONS

Rural residence was inversely associated with receipt of recommended surgery for gastric and colon cancer patients not treated at NCICCs, and for receiving recommended radiotherapy after breast conserving surgery regardless of treatment location. Further studies investigating the impact of care location and availability of supportive services on urban-rural differences in quality of care are warranted.

Patient Assessment: Using the Oncology Nurse Navigator Patient Assessment for Rural and Other Resource-Poor Settings

Oncology nurse navigators (ONNs) rely on assessment tools to identify patient priorities so that care may be expedited along the cancer continuum. Few nonproprietary assessment tools exist for ONNs who work in rural and other resource-poor settings to reliably identify and track patient needs and barriers for seamless and timely oncology care.

Invaluable role of histopathology in the diagnosis of cutaneous leiomyosarcoma in insulin injection site reaction

Soft tissue sarcomas (STSs) are rare and may often be misdiagnosed, resulting in delays in treatment. A 67-year-old cisgender woman with type 2 diabetes mellitus and obesity presented to her primary care physician with a mass on her left proximal arm. The clinical opinion of the attending physician was that of an insulin injection site reaction. After further evaluation from the physician, the patient was diagnosed with a lipoma without confirmatory histology. The patient continued to present with an enlarging mass, decline in health status and continued with local wound care. The patient underwent a confirmatory biopsy following which, the patient was diagnosed with leiomyosarcoma. This case report highlights the case of a person with a low or moderate income with a self-reported low health literacy living in a rural community and how STS may be misdiagnosed in medically underserved. The patient’s primary or oncology care team are not involved in the production or review of this case report.

The Association of Rural-Urban Inhabitation With Gastric Adenocarcinoma Mortality and Treatment: A Surveillance, Epidemiology, and End Results (SEER)-Based Study

Background

Gastric cancer is one of the most prevalent cancers in the world and the third most common cause of death from cancer. The diagnosis and treatment are often complex and require a multifaceted approach. Hence, appropriate and timely management is essential for better patient outcomes. Our aim was to determine if rural inhabitation affects the mortality of patients with gastric adenocarcinoma. If such an association exists, we propose to ascertain whether this is related to delayed diagnosis, differing tumor characteristics, or treatment inequalities.

Methods

The Cox model was applied to gastric adenocarcinoma cases diagnosed during 2004-2011 in American residents aged 20+ years in the Surveillance, Epidemiology, and End Results (SEER) program to determine the impact of rurality on mortality. Binary logistic regression was used to compare the odds of not receiving surgical treatment for localized tumors between rural and urban areas. It was also used to measure the association of rurality with stage at diagnosis (non-metastatic vs. metastatic).

Results

There was a significant association of rurality on 5-year mortality [HR 1.14 (1.09-1.20), p < 0.01]. No significant association was observed between rural-urban residency and stage at diagnosis, with an odds ratio (OR) of 0.95 (0.87-1.03), p = 0.21. The median time from diagnosis to any first-course treatment was one month for both rural and urban counties. Rural residents were far more likely not to receive surgical treatment for localized tumors than their urban counterparts [OR 1.70 (1.41-2.05), p < 0.01]. A greater percentage of rural inhabitants had cardia tumors as compared to urban ones, 39.8% vs. 33.8% respectively. Non-cardia tumors were far less likely not to receive surgical treatment (i.e., more likely to receive surgical treatment) than cardia tumors [OR 0.35 (0.30-0.41), p < 0.01].

Conclusions

Rurality is associated with worse gastric adenocarcinoma mortality. This may be due to a lesser probability of receiving surgical treatment for early-stage disease and differences in the primary site of the tumor between rural and urban counties, but not due to differences in stage at presentation. Future research should focus on improving health care access in rural communities.

Geographic Access to Radiation Therapy Facilities in the United States

BACKGROUND

The current distribution of radiation therapy (RT) facilities in the US is not well established. A comprehensive inventory of US RT facilities was last assessed in 2005, based on data from state regulatory agencies and dosimetric quality assurance bodies. We updated this database to characterize population-level measures of geographic access to RT and analyze changes over the past 15 years.

METHODS

We compiled data from regulatory and accrediting organizations to identify US facilities with linear accelerators used to treat humans in 2018-2020. Addresses were geocoded and analyzed with Geographic Information Services (GIS) software. Geographic access was characterized by assessing the Euclidian distance between zip code tabulation areas (ZCTA)/county centroids and RT facilities. Populations were assigned to each county to estimate the impact of facility changes at the population level. Logistic regressions were performed to identify features associated with increased distance to RT and associated with regions that gained an RT facility between the two time points studied.

RESULTS

In 2020, a total of 2,313 US RT facilities were reported compared to 1,987 in 2005, representing a 16.4% growth in facilities over nearly 15 years. Based on population attribution to ZCTA centroids, 77.9% of the US population lives within 12.5 miles of an RT facility, and 1.8% of the US population lives more than 50 miles from an RT facility. We found that increased distance to RT was associated with non-metro status, less insurance, older median age, and less populated regions. Between 2005 and 2020, the population living within 12.5 miles from an RT facility increased by 2.1 percentage points, while the population living furthest from RT facilities decreased 0.6 percentage points. Regions with improved geographic RT access are more likely to be higher income and better insured.

CONCLUSION

1.8% of the US population has limited geographic access to radiation therapy. We found that people benefiting from improved access to RT facilities are more economically advantaged, suggesting disparities in geographic access may not improve without intervention.

Videos improve patient understanding of chemotherapy terminology in a rural setting

BACKGROUND

It is critical patients understand the terms used to describe oncology treatments; however, even basic chemotherapy terminology can be misunderstood. Rural communities tend to have especially low levels of health literacy compared with nonrural communities. To address low health literacy in rural communities, this study tested rural participants' understanding of previously developed educational chemotherapy videos that were designed for an underserved urban population. Participants were also asked for feedback to determine if the videos could be improved.

METHODS

Fifty English-speaking patients who reside in counties classified as rural according to the Rural-Urban Continuum Code designations (RUCC 4-9) participated in the study. Participants were asked to define 6 chemotherapy terms before and after viewing a short, animated video explaining the term in English. Rates of correct and incorrect definitions provided by participants were also compared with previously published results from an urban cohort.

RESULTS

All participants had statistically significantly higher rates of correct definitions for all 6 terms following the video intervention. Palliative chemotherapy understanding improved the most (10% correct prevideo and 76% postvideo intervention). For each video, the majority of participants (77%-92%) suggested no changes to the videos.

CONCLUSION

Given the prevalence of low health literacy in rural communities, it is important to have effective educational interventions to improve the understanding of basic oncology-treatment terminology. This study found that short, educational videos, originally designed for an underserved urban population, can significantly improve understanding of commonly misunderstood chemotherapy terminology in a rural setting as well.

LAY SUMMARY

Chemotherapy terminology can be confusing to patients. Understanding can be especially difficult in areas with low health literacy, such as underserved urban and rural communities. To address this concern, previously developed short, animated videos describing basic chemotherapy terminology were found to improve patient understanding in an underserved urban setting. In this study, the videos were tested in a rural population and their effectiveness was established. Participants in the rural setting were significantly more likely to correctly define all 6 tested terms after watching the videos. Educational tools for high-need populations are essential to ensure patients can understand the treatment they receive.

Incorporating broadband durability in measuring geographic access to health care in the era of telehealth: A case example of the 2-step virtual catchment area (2SVCA) Method

The COVID-19 (coronavirus disease 2019) pandemic has expanded telehealth utilization in unprecedented ways and has important implications for measuring geographic access to healthcare services. Established measures of geographic access to care have focused on the spatial impedance of patients in seeking health care that pertains to specific transportation modes and do not account for the underlying broadband network that supports telemedicine and e-health. To be able to measure the impact of telehealth on healthcare access, we created a pilot augmentation of existing methods to incorporate measures of broadband accessibility to measure geographic access to telehealth. A reliable measure of telehealth accessibility is important to enable policy analysts to assess whether the increasing prevalence of telehealth may help alleviate the disparities in healthcare access in rural areas and for disadvantaged populations, or exacerbate the existing gaps as they experience "double burdens."

From the Community to the Bench and Back Again: The Value of Patient and Community Engagement in Cancer Research

Currently, patients and community members have more frequent interaction with clinical and population scientists than basic scientists, leading to gaps in their engagement across the cancer research continuum. Engaging patients and community members in all types of cancer research can bring personal experiences and societal factors to the forefront, informing scientists about these concerns and leading to research that is more responsive to patient and community needs. Engaging patients with cancer and community members as partners in research helps ensure that the scientific evidence generated is useful to patients and-more importantly-trusted by patients. This bidirectional engagement between patients/community members and research investigators fosters a collaborative and ethical foundation for scientific discovery. Although community-engaged research has been in existence for decades, more recent attention by national organizations to embed patients with cancer and community members into the research process has accelerated the importance of these efforts. Here, we describe the importance of patient and community engagement (PCE) in cancer research. We outline key principles in undertaking PCE in cancer research, provide a framework for PCE throughout the cancer research continuum, review metrics for evaluating the effectiveness of PCE in cancer research, and share opportunities for PCE in cancer research going forward.

The role of digital health technology in rural cancer care delivery: A systematic review

PURPOSE

Rural residents face higher cancer incidence rates and mortality rates, disparities that could be mitigated with health technology interventions, yet a digital divide is also apparent. This paper systematically and critically examines existing literature to understand how digital technologies have been used to support rural oncology care.

METHODS

PubMed, CINAHL Complete, PsycINFO, and Embase were searched using Medical Subject Headings terms and keywords. Studies were eligible if they presented empirical data investigating the use of technology in rural oncology and were published in English in a peer-reviewed journal within the last decade. The Mixed Methods Appraisal Tool was used to assess methodological quality.

FINDINGS

Digital health has been less extensively utilized in rural oncology compared with the general cancer population and other chronic diseases. We identified 54 studies that used technology in rural cancer care delivery, a comparatively small number, representing a significant gap in the literature. Studies were classified into 4 categories: Telemedicine (n = 32), phone calls (n = 11), Internet (n = 9), and mobile phone (n = 2). Of the 54 articles, 12 were RCTs, 17 were quasi-experimental, 3 were descriptive, 12 were mixed methods, and 10 were qualitative. Most of the studies involved patients only (n = 31) and were not specific to a cancer type (n = 41).

CONCLUSIONS

Further implementation and expansion of telemedicine and phone-based strategies in rural cancer care delivery are warranted. Rural cancer survivors value digital approaches to their care. However, social and behavioral determinants of health and access to technology must be considered.

Teleoncology for Veterans: High Patient Satisfaction Coupled With Positive Financial and Environmental Impacts

PURPOSE

There was rapid adoption of teleoncology care in the Veterans Health Administration during the COVID-19 pandemic. One third of 9 million Veterans Health Administration enrolled Veterans live in rural areas. Although digital solutions can expand capacity, enhance care access, and reduce financial burden, they may also exacerbate rural-urban health disparities. Careful evaluation of patients' perceptions and policy tradeoffs are necessary to optimize teleoncology postpandemic.

METHODS

Patients with ≥ 1 teleoncology visit with medical, surgical, or radiation oncology between March 2020 and June 2020 were identified retrospectively. Validated, Likert-type survey assessing patient satisfaction was developed. Follow-up survey was conducted on patients with ≥ 1 teleoncology visit from August 2020 to January 2021. Travel distance, time, cost, and carbon dioxide emissions were calculated based on zip codes.

RESULTS

A hundred surveys were completed (response rate, 62%). Patients overall were satisfied with teleoncology (83% Agree or Strongly Agree) but felt less satisfied than in-person visits (47% Agree or Strongly Agree). Audiovisual component improved patient perception of involvement in care, ability to self-manage health or medical needs, and comparability to in-person visits. Follow-up survey demonstrated similar satisfaction. Total travel-related savings are as follows: 86,470 miles, 84,374 minutes, $49,720 US dollars, and 35.5 metric tons of carbon dioxide.

CONCLUSION

Veterans are broadly satisfied with teleoncology. Audiovisual capabilities are critical to satisfaction. This is challenging for rural populations with lack of technology access. Patients experienced financial and time savings, and society benefitted from reduced carbon emissions. Continued optimization is needed to enhance patient experience and address secondary effects.

A measure of local uniqueness to identify linchpins in a social network with node attributes

Network centrality measures assign importance to influential or key nodes in a network based on the topological structure of the underlying adjacency matrix. In this work, we define the importance of a node in a network as being dependent on whether it is the only one of its kind among its neighbors' ties. We introduce linchpin score, a measure of local uniqueness used to identify important nodes by assessing both network structure and a node attribute. We explore linchpin score by attribute type and examine relationships between linchpin score and other established network centrality measures (degree, betweenness, closeness, and eigenvector centrality). To assess the utility of this measure in a real-world application, we measured the linchpin score of physicians in patient-sharing networks to identify and characterize important physicians based on being locally unique for their specialty. We hypothesized that linchpin score would identify indispensable physicians who would not be easily replaced by another physician of their specialty type if they were to be removed from the network. We explored differences in rural and urban physicians by linchpin score compared with other network centrality measures in patient-sharing networks representing the 306 hospital referral regions in the United States. We show that linchpin score is uniquely able to make the distinction that rural specialists, but not rural general practitioners, are indispensable for rural patient care. Linchpin score reveals a novel aspect of network importance that can provide important insight into the vulnerability of health care provider networks. More broadly, applications of linchpin score may be relevant for the analysis of social networks where interdisciplinary collaboration is important.