Rural barriers to early lung cancer detection: Exploring access to lung cancer screening programs in New Hampshire and Vermont

Access to Lung Cancer Screening

Rural and racial/ethnic minority communities experience higher risk and mortality from lung cancer. Lung cancer screening with low-dose computed tomography reduces mortality. However, disparities persist in the uptake of lung cancer screening, especially in marginalized communities. Barriers to lung cancer screening are multilevel and include patient, provider, and system-level barriers. This discussion highlights the key barriers faced by rural and racial/ethnic minority communities.

Rural-Urban Disparities in Receipt of Surgery for Potentially Resectable Non-Small Cell Lung Cancer

INTRODUCTION

Access to cancer care, especially surgery, is limited in rural areas. However, the specific reasons rural patient populations do not receive surgery for non-small cell lung cancer (NSCLC) is unknown. We investigated geographic disparities in reasons for failure to receive guideline-indicated surgical treatment for patients with potentially resectable NSCLC.

METHODS

The National Cancer Database was used to identify patients with clinical stage I-IIIA (N0-N1) NSCLC between 2004 and 2018. Patients from rural areas were compared to urban areas, and the reason for nonreceipt of surgery was evaluated. Adjusted odds of (1) primary nonsurgical management, (2) surgery being deemed contraindicated due to risk, (3) surgery being recommended but not performed, and (4) overall failure to receive surgery were determined.

RESULTS

The study included 324,785 patients with NSCLC with 42,361 (13.0%) from rural areas. Overall, 62.4% of patients from urban areas and 58.8% of patients from rural areas underwent surgery (P < 0.001). Patients from rural areas had increased odds of (1) being recommended primary nonsurgical management (adjusted odds ratio [aOR]: 1.14, 95% confidence interval [CI]: 1.05-1.23), (2) surgery being deemed contraindicated due to risk (aOR: 1.19, 95% CI: 1.07-1.33), (3) surgery being recommended but not performed (aOR: 1.13, 95% CI: 1.01-1.26), and (4) overall failure to receive surgery (aOR: 1.21, 95% CI: 1.13-1.29; all P < 0.001).

CONCLUSIONS

There are geographic disparities in the management of NSCLC. Rural patient populations are more likely to fail to undergo surgery for potentially resectable disease for every reason examined.

Urban–Rural Disparities in the Lung Cancer Surgical Treatment Pathway: The Paradox of a Rich, Small Region

Introduction

Rural populations in large countries often receive delayed or less effective diagnosis and treatment for lung cancer. Differences are related to population-based factors such as lower pro capita income or increased risk factors or to differences in access to facilities. Switzerland is a small, rich country with peculiar geographic and urban characteristics.

We explored the relationship between lung cancer diagnostic–surgical pathway and urban–rural residency in our region.

Methods

We retrospectively analyzed the medical records of 280 consecutive patients treated for primary non-small cell lung cancer at our institution (2017–2021). This is a regional tertiary center for diagnosis and treatment, and data were extracted from a prospectively collected clinical database. We included anatomical lung resection. Collected variables included patients and surgical characteristics, risk factors, comorbidities, histology and staging, symptoms (vs. incidental diagnosis), general practitioner (GP) involvement, health insurance, and suspected test-treatment interval. The exposure was rurality, defined by the 2009 rural–urban residency classification from the Department of Land.

Results

A total of 150 patients (54%) lived in rural areas. Rural patients had a higher rate of smoking history (93% vs. 82%; p = 0.007). Symptomatic vs. incidental diagnosis did not differ as well as previous cancer rate, insurance, and pathological staging. In rural patients, there was a greater burden of comorbidities (mean Charlson Comorbidity Index Age-Adjusted 5.3 in rural population vs. 4.8 in urban population, p = 0.05), and GP was more involved in the diagnostic pathway (51% vs. 39%, p = 0.04). The interval between the first suspected test and treatment was significantly shorter (56 vs. 66.5 days, p = 0.03). Multiple linear regression with backward elimination was run. These variables statistically predicted the time from the first suspected test and surgical treatment [F(3, 270), p < .05, R² = 0.24]: rurality (p = 0.04), GP involvement (p = 0.04), and presence of lung cancer-related symptoms (p = 0.02).

Conclusions

In our territory with inhomogeneous population distribution and geographic barriers, residency has an impact on the lung cancer pathway. It seems paradoxical that rural patients had a shorter route. The more constant involvement of GP might explain this finding, having suggested more tests for high-risk patients in the absence of symptoms or follow-ups. This did not change the staging of surgical patients, but it might be essential for the organization of an effective lung cancer screening program.

Implementation and Uptake of Rural Lung Cancer Screening

OBJECTIVE

Given the higher rates of tobacco use along with increased mortality specific to lung cancer in rural settings, low-dose CT (LDCT)-based lung cancer screening could be particularly beneficial to such populations. However, limited radiology facilities and increased geographical distance, combined with lower income and education along with reduced patient engagement, present heightened barriers to screening initiation and adherence.

METHODS

In collaboration with community leaders and stakeholders, we developed and implemented a community-based lung cancer screening program, including telephone-based navigation and tobacco cessation counseling support, serving 18 North Texas counties. Funding was available to support clinical services costs where needed. We collected data on LDCT referrals, orders, and completion.

RESULTS

To raise awareness for lung cancer screening, we leveraged our established collaborative network of more than 700 community partners. In the first year of operation, 107 medical providers referred 570 patients for lung cancer screening, of whom 488 (86%) were eligible for LDCT. The most common reasons for ineligibility were age (43%) and insufficient tobacco history (20%). Of 381 ordered LDCTs, 334 (88%) were completed. Among screened patients, 61% were current smokers and 36% had insurance coverage for the procedure. The program cost per patient was $430.

DISCUSSION

Implementation, uptake, and completion of LDCT-based lung cancer screening is feasible in rural settings. Community outreach, health promotion, and algorithm-based navigation may support such efforts. Given low lung cancer screening rates nationally and heightened lung cancer risk in rural populations, similar programs in other regions may be particularly impactful.

Distance to highway and factory density related to lung cancer death and associated spatial heterogeneity in effects in Jiading District, Shanghai

This study aimed to determine the spatial effects of traffic- and industrial-related pollution on the mortality for lung cancer (LC). We conducted a retrospective cohort study by using the data from LC registry in Jiading District for the period from 2002 to 2012. Standard parametric model with Weibull distribution was used for spatial survival analysis. Shorter distance to highway (adjusted odds ratio (aOR) = 1.15, 95% confidence interval (CI): 1.03-1.30) and higher factory density (aOR = 1.20, 95% CI: 1.05-1.37) were significantly associated with an increased risk of LC death, and there was a spatial difference in the associations between northern and southern areas of Jiading District. The risk was high in suburbs as compared with urban areas. Traffic- and industrial-related pollution were significantly associated with an increased risk of LC death, which showed a spatial variation. Further studies are needed to better understand the current LC status in the suburbs and to reduce health disparities.