Is Travel Time to Colonoscopy Associated With Late-Stage Colorectal Cancer Among Medicare Beneficiaries in Iowa?

Examining the roles of travel distance, medical mistrust, and cancer fatalism in the uptake of clinical cancer prevention among women in rural and urban US communities: A secondary data analysis

Introduction

Rural adults are less likely to receive cancer screening than urban adults, likely due to systematic differences in community- and individual-level factors. The purpose of this study was to analyze the relative contributions of rurality, travel time, medical mistrust, and cancer fatalism in explaining uptake of clinical cancer prevention services.

Methods

We conducted a secondary data analysis of 2019-2020 survey data from women, ages 45-65, in rural and urban counties in central Pennsylvania, examining rurality, travel time to a primary care provider, medical mistrust, and cancer fatalism, as well as uptake of guideline-recommended colorectal cancer screening, cervical cancer screening, and preventive check-up. Final models used multivariable logistic regression to assess the relationships among study variables, controlling for participant demographics.

Results

Among 474 participants, 48.9 % resided in rural counties. Most participants had received clinical cancer prevention services (colorectal cancer screening: 55.4 %; cervical cancer screening: 82.8 %; preventive check-up in the last year: 75.4 %). Uptake of services was less common among participants with higher medical mistrust (colorectal cancer screening: adjusted odds ratio [aOR] = 0.87, 95 % confidence interval [CI] = 0.76-1.00; cervical cancer screening: aOR = 0.79, 95 % CI = 0.63-1.00; last-year check-up: aOR = 0.74, 95 % CI = 0.63-0.88).

Conclusions

Patient attitudes, particularly medical mistrust, may contribute to rural/urban disparities in clinical cancer prevention among women. Community- and individual-level interventions are needed to improve cancer outcomes in rural areas.

The impact of patient travel time on disparities in treatment for early stage lung cancer in California

BACKGROUND

Travel time to treatment facilities may impede the receipt of guideline-concordant treatment (GCT) among patients diagnosed with early-stage non-small cell lung cancer (ES-NSCLC). We investigated the relative contribution of travel time in the receipt of GCT among ES-NSCLC patients.

METHODS

We included 22,821 ES-NSCLC patients diagnosed in California from 2006-2015. GCT was defined using the 2016 National Comprehensive Cancer Network guidelines, and delayed treatment was defined as treatment initiation >6 versus ≤6 weeks after diagnosis. Mean-centered driving and public transit times were calculated from patients' residential block group centroid to the treatment facilities. We used logistic regression to estimate risk ratios and 95% confidence intervals (CIs) for the associations between patients' travel time and receipt of GCT and timely treatment, overall and by race/ethnicity and neighborhood socioeconomic status (nSES).

RESULTS

Overall, a 15-minute increase in travel time was associated with a decreased risk of undertreatment and delayed treatment. Compared to Whites, among Blacks, a 15-minute increase in driving time was associated with a 24% (95%CI = 8%-42%) increased risk of undertreatment, and among Filipinos, a 15-minute increase in public transit time was associated with a 27% (95%CI = 13%-42%) increased risk of delayed treatment. Compared to the highest nSES, among the lowest nSES, 15-minute increases in driving and public transit times were associated with 33% (95%CI = 16%-52%) and 27% (95%CI = 16%-39%) increases in the risk of undertreatment and delayed treatment, respectively.

CONCLUSION

The benefit of GCT observed with increased travel times may be a 'Travel Time Paradox,' and may vary across racial/ethnic and socioeconomic groups.

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.

Hospital and Surgeon Selection for Medicare Beneficiaries With Stage II/III Rectal Cancer: The Role of Rurality, Distance to Care, and Colonoscopy Provider

OBJECTIVE

To determine factors associated with rectal cancer surgery performed at high-volume hospitals (HVHs) and by high-volume surgeons (HVSs), including the roles of rurality and diagnostic colonoscopy provider characteristics.

SUMMARY OF BACKGROUND DATA

Although higher-volume hospitals/surgeons often achieve superior surgical outcomes, many rectal cancer resections are performed by lower-volume hospitals/surgeons, especially among rural populations.

METHODS

Patients age 66+ diagnosed from 2007 to 2011 with stage II/III primary rectal adenocarcinoma were selected from surveillance, epidemiology, and end results-medicare data. Patient ZIP codes were used to classify rural status. Hierarchical logistic regression was used to determine factors associated with surgery by HVH and HVS.

RESULTS

Of 1601 patients, 22% were rural and 78% were urban. Fewer rural patients received surgery at a HVH compared to urban patients (44% vs 65%; P < 0.0001). Compared to urban patients, rural patients more often had colonoscopies performed by general surgeons (and less often from gastroenterologists or colorectal surgeons), and lived substantially further from HVHs; these factors were both associated with lower odds of surgery at a HVH or by a HVS. In addition, whereas over half of both rural and urban patients received their colonoscopy and surgery at the same hospital, rural patients who stayed at the same hospital were significantly less likely to receive surgery at a HVH or by a HVS compared to urban patients.

CONCLUSIONS

Rural rectal cancer patients are less likely to receive surgery from a HVH/HVS. The role of the colonoscopy provider has important implications for referral patterns and initiatives seeking to increase centralization.

Residential history in cancer research: Utility of the annual billing ZIP code in the SEER-Medicare database and mobility among older women with breast cancer in the United States

There is a rise in attention to residential history in cancer epidemiology aimed at more effective estimation of social and physical environmental exposures and the influence of place of residence on cancer outcomes. However, in the United States, as in many other countries, residential history data are not readily available. In this paper we explore the feasibility of using the annual Medicare billing ZIP code history available in the SEER-Medicare database to study residential mobility among older cancer survivors in the U.S. In a cohort of women diagnosed with breast cancer between 2007 and 2015, we examine the completeness of the data along with the overall characteristics of residential moves based on race and stage at diagnosis. Findings indicate that residential mobility among older women with breast cancer in the U.S. is limited, but differences by race/ethnicity, stage at diagnosis and before/after diagnosis are statistically significant. And breast cancer survivors from minority groups move more frequently than their non-Hispanic White counterparts. The results also show that move rate slightly, but statistically significantly, increases after diagnosis. We conclude that SEER-Medicare can be utilized to study residential mobility among older cancer survivors. We recommend the creation of sub-cohorts based on specific research questions to account for variability in residential mobility due to very short survival times or a diagnosis shortly after Medicare enrollment. Studying residential history provides the opportunity for assigning socioecological and exposure metrics for future survival studies.

Spatial accessibility to colonoscopy and its role in predicting late-stage colorectal cancer

OBJECTIVE

To better determine the relationship between spatial access to colonoscopy and colorectal cancer (CRC) outcomes, our objective was to examine the agreement of the classic, enhanced, and variable two-step floating catchment area (2SFCA) methods in evaluating spatial access to colonoscopy and to compare the predictive validity of each method related to late-stage CRC. 2SFCA methods simultaneously consider supply/demand of services and impedance (ie, travel time).

DATA SOURCES

Colonoscopy provider locations were obtained from the South Carolina Ambulatory Surgery Database. ZIP code tabulation area (ZCTA) level population estimates and area-level poverty level were obtained from the American Community Survey. Rurality was determined by the United States Department of Agriculture's Rural-Urban Commuting Area codes. Individual-level CRC data were obtained from the South Carolina Central Cancer Registry.

STUDY DESIGN

Using the classic, enhanced, and variable 2SFCA methods, we calculated ZCTA-level spatial access to colonoscopy. We assessed agreement between the three methods by calculating Spearman's rank coefficients and weighted Kappas (Κ). Global and Local Moran's I were used to assess spatial clustering of accessibility scores across 2SFCA methods. We performed multilevel logistic regression analyses to examine the association between spatial accessibility to colonoscopy, area- and individual-level factors, and late-stage CRC.

PRINCIPAL FINDINGS

We found strong agreement (Weighted Κ = 0.82; 95% CI = 0.79-0.86) and identified similar clustering patterns with the classic and enhanced 2SFCA methods. There was negligible agreement among the classic/enhanced 2SFCA and the variable 2SFCA. Across all 2SFCA methods, regression models showed that spatial access to colonoscopy, rurality, and poverty level were not associated with greater odds of late-stage CRC, though Black race was associated with late-stage CRC across all models.

CONCLUSIONS

None of the 2SFCA methods showed an association with late-stage CRC. Future studies should explore which elements (spatial or nonspatial) of access to care have the greatest impact on CRC outcomes.

The Outcome of Unscreened Population in Colorectal Cancer: The Impact of Sex and Other Determinants on Cancer Stage

BACKGROUND

In Saudi Arabia, there is no population-based colorectal cancer (CRC) screening, and more than two-thirds of patients are diagnosed with a late stage. We assessed the association between sex and distant metastasis CRC and hypothesize that females, younger age, non-married, and patients with colon cancer would present with metastatic tumors.

PATIENTS AND METHODS

The retrospective cohort study used data from the Ministry of National Guard Cancer Registry. Logistic regression was used to assess the association between sex and metastatic CRC adjusting for patient covariates. In a sensitivity analysis, the association between sex and late-stage CRC was evaluated.

RESULTS

A total of 1016 CRC patients met the eligibility criteria, with 37.59% of females and 30.26% of males diagnosed with metastatic CRC. After adjusting for marital status, grade, and morphology, females were 20% more likely than males to present with a metastatic tumor 1.20 (95% CI, 1.04-1.38).

CONCLUSION

Although the entire Saudi population would benefit from CRC screening, women may benefit the most from targeted screening.

Differences in Travel Time to Cancer Surgery for Colon versus Rectal Cancer in a Rural State: A New Method for Analyzing Time-to-Place Data Using Survival Analysis

PURPOSE

Rectal cancer is rarer than colon cancer and is a technically more difficult tumor for surgeons to remove, thus rectal cancer patients may travel longer for specialized treatment compared to colon cancer patients. The purpose of this study was to evaluate whether travel time for surgery was different for colon versus rectal cancer patients.

METHODS

A secondary data analysis of colorectal cancer (CRC) incidence data from the Iowa Cancer Registry data was conducted. Travel times along a street network from all residential ZIP Codes to all cancer surgery facilities were calculated using a geographic information system. A new method for analyzing "time-to-place" data using the same type of survival analysis method commonly used to analyze "time-to-event" data is introduced. Cox proportional hazard model was used to analyze travel time differences for colon versus rectal cancer patients.

RESULTS

A total of 5,844 CRC patients met inclusion criteria. Median travel time to the nearest surgical facility was 9 minutes, median travel time to the actual cancer surgery facilities was 22 minutes, and the median number of facilities bypassed was 3. Although travel times to the nearest surgery facilities were not significantly different for colon versus rectal cancer patients, rectal cancer patients on average traveled 15 minutes longer to their actual surgery facility and bypassed 2 more facilities to obtain surgery.

DISCUSSION

In general, the survival analysis method used to analyze the time-to-place data as described here could be applied to a wide variety of health services and used to compare travel patterns among different groups.

Lung Cancer Staging at Diagnosis in the Veterans Health Administration: Is Rurality an Influencing Factor? A Cross-Sectional Study

Purpose

To evaluate the association between rurality and lung cancer stage at diagnosis.

Methods:

We conducted a cross-sectional study using Veterans Health Administration (VHA) data to identify veterans newly diagnosed with lung cancer between October 1, 2011 and September 30, 2015. We defined rurality, based on place of residence, using Rural-Urban Commuting Area (RUCA) codes with the subcategories of urban, large rural, small rural, and isolated. We used multivariable logistic regression models to determine associations between rurality and stage at diagnosis, adjusting for sociodemographic and clinical characteristics. We also analyzed data using the RUCA code for patients’ assigned primary care sites and driving distances to primary care clinics and medical centers.

Findings:

We identified 4,220 veterans with small cell lung cancer (SCLC) and 25,978 with non-small cell lung cancer (NSCLC). Large rural residence (compared to urban) was associated with early-stage diagnosis of NSCLC (OR = 1.12; 95% CI: 1.00–1.24) and SCLC (OR = 1.73; 95% CI: 1.18–1.55). However, the finding was significant only in the southern and western regions of the country. White race, female sex, chronic lung disease, higher comorbidity, receiving primary care, being a former tobacco user, and more recent year of diagnosis were also associated with diagnosing early-stage NSCLC. Driving distance to medical centers was inversely associated with late-stage NSCLC diagnoses, particularly for large rural areas.

Conclusions:

We did not find clear associations between rurality and lung cancer stage at diagnosis. These findings highlight the complex relationship between rurality and lung cancer within VHA, suggesting access to care cannot be fully captured by current rurality codes.

Updated Overview of the SEER-Medicare Data: Enhanced Content and Applications

BACKGROUND

The National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked database was first created almost 30 years ago. Over time, additional data have been added to the SEER-Medicare database, allowing for expanded insights into the delivery of health care across the cancer continuum from screening to end of life.

METHODS

This article includes an overview of the current SEER-Medicare database, presenting potential users with an introduction to how the data can facilitate innovative epidemiologic and health services research studies. With a focus on the population 65 years and older, this article presents descriptive data on beneficiary demographics, cancer characteristics, service settings, Medicare coverage (eg, Parts A, B, C, and D), and use (number of services or bills) from 2011 to 2015.

RESULTS

From 2011 to 2015, 857 056 cancer patients and 601 470 population-based noncancer controls were added to the database. The database includes detailed tumor characteristics and clinical assessments for cancer cases, and demographics and health-care use (eg, hospitals, outpatient facilities, individual providers, hospice, home health-care providers, and pharmacies) for both cases and controls. Although characteristics varied overall between cases and controls, sufficient cancer-specific matched controls are available. Roughly 60% of cases were enrolled in fee for service at cancer diagnosis. The annual average number of claims per case was 60.7 and 92.3 during the year before and after cancer diagnosis, respectively, and 127.5 during the year before death.

CONCLUSIONS

The large sample size and diverse array of data on cancer patients and noncancer controls in the SEER-Medicare database make it a unique resource for conducting cancer health services research.

Cervical cancer screening behaviors and proximity to federally qualified health centers in South Carolina

INTRODUCTION

Lack of participation in cervical cancer screening in underserved populations has been attributed to access to care, particularly among women in rural areas. Federally Qualified Health Centers (FQHCs) were created to address this need in medically underserved populations. This study observed proximity to three health centers in relation to cervical cancer screening rates in South Carolina.

METHODS

Data were obtained from FQHC patient visits (from 3 centers) between 2007-2010 and were limited to women eligible for cervical cancer screening (n = 24,393). ArcGIS was used to geocode patients addresses and FQHC locations, and distance was calculated. Modified Poisson regression was used to estimate relative risk of obtaining cervical cancer screening within one yearor ever, stratified by residential area.

RESULTS

Findings differed markedly by center and urban/rural status. At two health clinics, rural residents living the furthest away from the clinic (∼9 miles difference between quartile 4 and quartile 1) were more likely to be ever screened (RRs = 1.05 and 1.03, p-values < 0.05), while urban residents living the furthest away were less likely to be ever screened (RR = 0.85, p-value < 0.05). At the third center, only urban residents living the furthest away were more likely to be ever screened (RR = 1.02, p-value < 0.05).

CONCLUSIONS

Increased travel distance significantly increased the likelihood of cervical cancer screening at two FQHC sites while significantly decreasing the likelihood of screening at the 3rd site. These findings underscore the importance of contextual and environmental factors that impact use of cervical cancer screening services.

Associations between area-level deprivation, rural residence, physician density, screening policy and late-stage colorectal cancer in Canada

BACKGROUND

Important social disparities in colorectal screening exist in Canada. Few studies have assessed disparities further along the cancer control continuum. Here we assess the associations between social and material deprivation, physician density, rural residence, and the absence of provincial mail-based screening programs and colorectal cancer (CRC) stage at diagnosis.

METHODS

Colorectal cancer cases and stage data ("local or regional" if stage 0, I, or II, "late" if stage III or IV) were obtained through the Canadian Cancer Registry (2011-2015, N = 54,745). Cases were linked to 2006 Canadian Census Dissemination Area-level data on rural/urban status, exposure to a provincial mail-based screening program, and social and material deprivation (Pampalon Index quintile groups); and to Scott's Medical Database 2011 physician density data (<7 vs. ≥ 7/10,000). Age, sex, and predictor-adjusted Generalized estimating equation (GEE) Poisson models were used to determine independent associations between predictors and late-stage at diagnosis.

RESULTS

Half of CRC cases are diagnosed at stage III or IV (51 %), with younger age groups experiencing higher late-stage prevalence (57 % among those aged 18-49). The covariate-adjusted late-stage prevalence was 2-percentage points higher in most materially- and socially-deprived areas (95 % CI: 1 %, 4 %, in both, respectively) and in provinces with no mail-based screening programs (95 % CI: 1 %, 2 %). No significant differences were observed according to rural residence or physician density.

CONCLUSIONS

Social disparities in late-stage CRC diagnosis are modest. Continued surveillance of these disparities may be warranted as provinces continue to promote early cancer detection through screening, and stage distributions may change overtime.

Investigating the Impact of Geographic Location on Colorectal Cancer Stage at Diagnosis: A National Study of the SEER Cancer Registry

BACKGROUND

Early detection of colorectal cancer (CRC) is associated with decreased mortality and potential avoidance of chemotherapy. CRC screening rates are lower in rural communities and patient outcomes are poorer. This study examines the extent to which United States' rural residents present at a more advanced stage of CRC compared to nonrural residents.

METHODS

Using the 2010-2014 Surveillance, Epidemiology and End Results Incidence data, 132,277 patients with CRC were stratified using their county of residence and urban influence codes into 5 categories (metro, adjacent micropolitan, nonadjacent micropolitan, small rural, and remote small rural). Logistic regression was used to investigate the relationship between late stage at diagnosis and county-level characteristics including level of rurality, persistent poverty, low education and low employment, and patient characteristics.

RESULTS

In the adjusted analysis the rate of stage 4 CRC at diagnosis differed across geographic classification, with patients living in remote small rural counties having the highest rate of stage 4 disease (range: 19.2% in nonadjacent micropolitan counties to 22.7% in remote small rural counties). Other factors, such as patient characteristics, insurance status, and regional practice variation were also significantly associated with late-stage CRC diagnosis.

CONCLUSIONS

Geographic residence is associated with the rate of stage 4 disease at presentation. Additional patient factors are associated with stage 4 CRC disease at diagnosis. Cancer outcomes are worse for rural patients, and late stage at diagnosis may partially account for this disparity. These differences have persisted over time and suggest areas for further research, patient engagement, and education.

The impact of travel time on colorectal cancer stage at diagnosis in a privately insured population

BACKGROUND

Rural residents are less likely to receive screening for colorectal cancer (CRC) than urban residents. However, the mechanisms underlying this disparity, especially among people aged 50-64 years old with private health insurance, are not well understood. We examined the impact of travel time on stage at CRC diagnosis.

METHODS

This retrospective cohort study used data from the Blue Cross and Blue Shield of Nebraska. Members of this private insurance company aged 50-64 years, diagnosed with CRC during the period 2012-2016, and continuously enrolled in the insurance plan for at least 6 months prior to CRC diagnosis, were selected for this study. Using Google Maps, we estimated patients' travel time from their home ZIP code to the ZIP code of their colonoscopy provider. Using logistic regression, we analyzed the association between stage at CRC diagnosis, travel time, use of preventive services (i.e., check-ups or counseling to prevent or detect illness at an early stage) and patient characteristics.

RESULTS

A total of 307 subjects met the inclusion criteria. People who had not used preventive services 6 months prior to CRC diagnosis had 2.80 (95% CI, 1.00-7.90) times the odds of metastatic CRC compared to those who had used these services. No statistically significant association was found between travel time and metastatic CRC diagnosis (P = 0.99; 95% CI, 0.98-1.01).

CONCLUSIONS

The fact that 13% of the study population presented with metastatic CRC suggests some noncompliance with preventive services such as screening guidelines. To increase screening uptake and reduce metastatic cases, employers should offer incentives for their employees to make use of preventive services such as CRC screening.

Using spatially adaptive floating catchments to measure the geographic availability of a health care service: Pulmonary rehabilitation in the southeastern United States

A spatially adaptive floating catchment is a circular area that expands outward from a provider location until the estimated demand for services in the nearest population locations exceeds the observed number of health care services performed at the provider location. This new way of creating floating catchments was developed to address the change of spatial support problem (COSP) by upscaling the availability of the service observed at a provider location to the county-level so that its geographic association with utilization could be measured using the same spatial support. Medicare Fee-for-Service claims data were used to identify beneficiaries aged ≥ 65 years who received outpatient pulmonary rehabilitation (PR) in the Southeastern United States in 2014 (n = 8798), the number of PR treatments these beneficiaries received (n = 132,508), and the PR providers they chose (n = 426). The positive correlation between PR availability and utilization was relatively low, but statistically significant (r = 0.619, p < 0.001) indicating that most people use the nearest available PR services, but some travel long distances. SAFCs can be created using data from health care systems that collect claim-level utilization data that identifies the locations of providers chosen by beneficiaries of a specific health care procedure.

Exploring Big Data in Hematological Malignancies: Challenges and Opportunities

Secondary analysis of large datasets has become a useful alternative to address research questions outside the reach of clinical trials. It is increasingly utilized in hematology and oncology. In this review, we provided an overview of some examples of commonly used large datasets in the USA and described common research themes that can be pursued using such a methodology. We selected a sample of 14 articles on adult hematologic malignancies published in 2015 and highlighted their contributions as well as limitations.

Geographic and population-level disparities in colorectal cancer testing: A multilevel analysis of Medicaid and commercial claims data

Morbidity and mortality from colorectal cancer (CRC) can be attenuated through guideline concordant screening and intervention. This study used Medicaid and commercial claims data to examine individual and geographic factors associated with CRC testing rates in one state (Oregon). A total of 64,711 beneficiaries (4516 Medicaid; 60,195 Commercial) became newly age-eligible for CRC screening and met inclusion criteria (e.g., continuously enrolled, no prior history) during the study period (January 2010-December 2013). We estimated multilevel models to examine predictors for CRC testing, including individual (e.g., gender, insurance, rurality, access to care, distance to endoscopy facility) and geographic factors at the county level (e.g., poverty, uninsurance). Despite insurance coverage, only two out of five (42%) beneficiaries had evidence of CRC testing during the four year study window. CRC testing varied from 22.4% to 46.8% across Oregon's 36 counties; counties with higher levels of socioeconomic deprivation had lower levels of testing. After controlling for age, beneficiaries had greater odds of receiving CRC testing if they were female (OR 1.04, 95% CI 1.01-1.08), commercially insured, or urban residents (OR 1.14, 95% CI 1.07-1.21). Accessing primary care (OR 2.47, 95% CI 2.37-2.57), but not distance to endoscopy (OR 0.98, 95% CI 0.92-1.03) was associated with testing. CRC testing in newly age-eligible Medicaid and commercial members remains markedly low. Disparities exist by gender, geographic residence, insurance coverage, and access to primary care. Work remains to increase CRC testing to acceptable levels, and to select and implement interventions targeting the counties and populations in greatest need.

Quality of Colonoscopy Performed in Rural Practice: Experience From the Clinical Outcomes Research Initiative and the Oregon Rural Practice-Based Research Network

PURPOSE

Colon cancer screening is effective. To complete screening in 80% of individuals over age 50 years by 2018 will require adequate colonoscopy capacity throughout the country, including rural areas, where colonoscopy providers may have less specialized training. Our aim was to study the quality of colonoscopy in rural settings.

METHODS

The Clinical Outcomes Research Initiative (CORI) and the Oregon Rural Practice-based Research Network (ORPRN) collaborated to recruit Oregon rural practices to submit colonoscopy reports to CORI's National Endoscopic Database (NED). Ten ORPRN sites were compared to non-ORPRN rural (n = 11) and nonrural (n = 43) sites between January 2009 and October 2011. Established colonoscopy quality measures were calculated for all sites.

RESULTS

No ORPRN physicians were gastroenterologists compared with 82% of nonrural physicians. ORPRN practices reached the cecum in 87.4% of exams compared with 89.3% of rural sites (P = .0002) and 90.9% of nonrural sites (P < .0001). Resected polyps were less likely to be retrieved (84.7% vs 91.6%; P < .0001) and sent to pathology (77.1% vs 91.3%; P < .0001) at ORPRN practices compared to nonrural sites. The overall polyp detection (39.0% vs 40.3%) was similar (P = .217) between ORPRN and nonrural practices. Of exams with polyps, the rate for largest polyp on exam 6-9 mm was 20.8% at ORPRN sites, compared to 26.8% at nonrural sites (P < .0001), and for polyps >9mm 16.6% vs 18.7% (P = .106).

CONCLUSION

ORPRN sites performed well on most colonoscopy quality measures, suggesting that high-quality colonoscopy can be performed in rural settings.