Time and distance barriers to mammography facilities in the Atlanta metropolitan area

Sociodemographic Characteristics, Distance to the Clinic, and Breast Cancer Screening Results

Timely detection and follow-up of abnormal cellular changes can aid in early diagnosis of breast cancer, thus leading to better treatment outcomes. However, despite substantial breast cancer screening initiatives, the proportion of female breast cancer cases diagnosed at late stages remains high. Distance to screening clinics may affect access to care, particularly for women living in impoverished areas with limited means of reliable transportation. Utilizing breast cancer screening data collected by the Illinois Breast and Cervical Cancer Program between 1996 and 2010, we examined the effect of travel distance to the clinic from which women received breast cancer screening tests on stage of diagnosis. The proportion of abnormal mammograms in White women (1.6%) was higher than in Black women (1.1%) or Hispanic women (0.5%). The average distance traveled to a clinic was also farthest among White women (6.7 mi) than for Hispanic (5.3 mi) or Black women (4.4 mi). Distance to a clinic was significantly associated with increased odds of having abnormal results. When distance to clinic was controlled for, the observed disparity in odds of having an abnormal mammogram between White and Black women was no longer statistically significant. Individual and neighborhood sociodemographic characteristics were significantly associated with distance to clinic, but were not associated with increased odds of having an abnormal mammogram, controlling for distance to the clinic. Findings showed that individual and neighborhood sociodemographic characteristics are directly and indirectly associated with abnormal mammogram results, and that distance to a clinic may mediate, in part, the effects of individual characteristics and neighborhood disadvantage on the probability of having an abnormal mammogram.

Comparing GIS-based measures in access to mammography and their validity in predicting neighborhood risk of late-stage breast cancer

Background

Assessing neighborhood environment in access to mammography remains a challenge when investigating its contextual effect on breast cancer-related outcomes. Studies using different Geographic Information Systems (GIS)-based measures reported inconsistent findings.

Methods

We compared GIS-based measures (travel time, service density, and a two-Step Floating Catchment Area method [2SFCA]) of access to FDA-accredited mammography facilities in terms of their Spearman correlation, agreement (Kappa) and spatial patterns. As an indicator of predictive validity, we examined their association with the odds of late-stage breast cancer using cancer registry data.

Results

The accessibility measures indicated considerable variation in correlation, Kappa and spatial pattern. Measures using shortest travel time (or average) and service density showed low correlations, no agreement, and different spatial patterns. Both types of measures showed low correlations and little agreement with the 2SFCA measures. Of all measures, only the two measures using 6-timezone-weighted 2SFCA method were associated with increased odds of late-stage breast cancer (quick-distance-decay: odds ratio [OR] = 1.15, 95% confidence interval [CI] = 1.01–1.32; slow-distance-decay: OR = 1.19, 95% CI = 1.03–1.37) after controlling for demographics and neighborhood socioeconomic deprivation.

Conclusions

Various GIS-based measures of access to mammography facilities exist and are not identical in principle and their association with late-stage breast cancer risk. Only the two measures using the 2SFCA method with 6-timezone weighting were associated with increased odds of late-stage breast cancer. These measures incorporate both travel barriers and service competition. Studies may observe different results depending on the measure of accessibility used.

Breast cancer stage at diagnosis: is travel time important?

Recent studies have produced inconsistent results in their examination of the potential association between proximity to healthcare or mammography facilities and breast cancer stage at diagnosis. Using a multistate dataset, we re-examine this issue by investigating whether travel time to a patient's diagnosing facility or nearest mammography facility impacts breast cancer stage at diagnosis. We studied 161,619 women 40 years and older diagnosed with invasive breast cancer from ten state population based cancer registries in the United States. For each woman, we calculated travel time to their diagnosing facility and nearest mammography facility. Logistic multilevel models of late versus early stage were fitted, and odds ratios were calculated for travel times, controlling for age, race/ethnicity, census tract poverty, rural/urban residence, health insurance, and state random effects. Seventy-six percent of women in the study lived less than 20 min from their diagnosing facility, and 93 percent lived less than 20 min from the nearest mammography facility. Late stage at diagnosis was not associated with increasing travel time to diagnosing facility or nearest mammography facility. Diagnosis age under 50, Hispanic and Non-Hispanic Black race/ethnicity, high census tract poverty, and no health insurance were all significantly associated with late stage at diagnosis. Travel time to diagnosing facility or nearest mammography facility was not a determinant of late stage of breast cancer at diagnosis, and better geographic proximity did not assure more favorable stage distributions. Other factors beyond geographic proximity that can affect access should be evaluated more closely, including facility capacity, insurance acceptance, public transportation, and travel costs.

Transportation: a vehicle or roadblock to cancer care for VA patients with colorectal cancer?

BACKGROUND

Patients must have transportation to the treatment site before they can access appropriate cancer care. This article describes factors associated with patients experiencing transportation-related barriers to accessing cancer care.

PATIENTS AND METHODS

The Cancer Care Assessment & Responsive Evaluation Studies (C-CARES) questionnaire was mailed to Veterans Affairs (VA) patients with colorectal cancer (CRC) during the fall of 2009. Eligible patients were diagnosed at any VA facility in 2008, they were men, and alive at the time of the mailing. A total of 1409 surveys were returned (approximately 67% response rate). To assess transportation barriers, patients were asked how often it was difficult to get transportation to or from treatment. Symptoms were assessed using validated Patient-Reported Outcomes Measurement Information System (PROMIS) scales for fatigue, pain, and depression. Multivariate logistic regression was used to examine determinants of transportation barriers.

RESULTS

A minority of respondents (19%) reported transportation barriers. Patients experiencing pain (OR, 1.04; 95% CI, 1.02-1.06) had greater odds of transportation barriers than patients without this symptom. Patients who reported no primary social support (OR, 6.13; 95% CI, 3.10-12.14) or nonspousal support (OR, 2.00; 95% CI, 1.40-2.87) were more likely to experience transportation barriers than patients whose spouses provided social support.

DISCUSSION

Patients with uncontrolled pain or less social support have greater odds of transportation barriers. The directional association between social support, symptoms, and transportation cannot be determined in this data.

CONCLUSION

Inquiring about accessible transportation should become a routine part of cancer care, particularly for patients with known risk factors.