To increase the likelihood of response, many survey organizations attempt to provide sample members with a mode they are thought to prefer. Mode assignment is typically based on conventional wisdom or results from mode choice studies that presented only limited options. In this paper we draw heavily on research and theory from the mode effects and the survey participation literatures to develop a framework for understanding what characteristics should predict mode preferences. We then test these characteristics using data from two different surveys. We find that measures of familiarity with and access to a mode are the strongest predictors of mode preference and measures of safety concerns, physical abilities, and normative concerns are unexpectedly weak predictors. Our findings suggest that variables that may exist on sample frames can be used to inform the assignment of "preferred" modes to sample members.
Cancer disparities in rural and frontier communities are an important issue in Utah because much of Utah is sparsely populated. The aims of this study were to investigate whether there are differences in the cancer incidence and 5‐year survival rates in Utah by metropolitan/rural residence and to investigate disparities in distributions of cancer risk factors. We used cancer registry records to identify patients diagnosed with a first primary cancer in Utah between 2004 and 2008. We estimated 5‐year survival and incidence rates. The Cox proportional hazards model was used to estimate hazard ratios (HRs) for the risk of death. There were 32,498 (86.9%) patients with cancer who lived in metropolitan counties and 4906 (13.1%) patients with cancer who lived in rural counties at the time of cancer diagnosis. Patients with cancer from rural counties were more likely to be older, American Indian/Alaskan Native, non‐Hispanic, male, and diagnosed at higher stage. Rural residents had a five‐year relative survival that was 5.2% lower than metropolitan residents and a 10% increase in risk of death (HR = 1.10, 95% CI = 1.03, 1.18) after adjustment for multiple factors. Overall, the cancer incidence rates in rural counties were lower by 11.9 per 100,000 per year (449.2 in rural counties vs. 461.1 in metropolitan counties). Cancer patients living in rural counties of Utah had different demographic characteristics as well as differences in incidence and survival rates. Further studies with individual‐level data are necessary to investigate the reasons behind these differences in cancer incidence and survival to reduce disparities.
IMPORTANCE Screening for breast and colorectal cancer has resulted in reductions in mortality; however, questions remain regarding how these interventions are being diffused to all segments of the population. If an intervention is less amenable to diffusion, it could be associated with disparities in mortality rates, especially in rural vs urban areas.OBJECTIVES To compare the prevalence of breast and colorectal cancer screening adherence and to identify factors associated with screening adherence among women residing in rural vs urban areas in the United States. DESIGN, SETTING, AND PARTICIPANTSThis population-based cross-sectional study of women aged 50 to 75 years in 11 states was conducted from 2017 to 2020. MAIN OUTCOMES AND MEASURES Adherence to cancer screening based on the US PreventativeServices Task Force guidelines. For breast cancer screening, women who had mammograms in the past 2 years were considered adherent. For colorectal cancer screening, women who had (1) a stool test in the past year, (2) a colonoscopy in the past 10 years, or (3) a sigmoidoscopy in the past 5 years were considered adherent. Rural status was coded using Rural Urban Continuum Codes, and other variables were assessed to identify factors associated with screening. RESULTSThe overall sample of 2897 women included 1090 (38.4%) rural residents; 2393 (83.5%) non-Hispanic White women; 263 (9.2%) non-Hispanic Black women; 68 (2.4%) Hispanic women; 1629 women (56.2%) aged 50 to 64 years; and 712 women (24.8%) with a high school education or less. Women residing in urban areas were significantly more likely to be adherent to colorectal cancer screening compared with women residing in rural areas (1429 [82%] vs 848 [78%]; P = .01), whereas the groups were equally likely to be adherent to breast cancer screening (1347 [81%] vs 830 [81%]; P = .78). Multivariable mixed-effects logistic regression analyses confirmed that rural residence was associated with lower odds of being adherent to colorectal cancer screening (odds ratio [OR], 0.81; 95% CI, 0.66-0.99, P = .047). Non-Hispanic Black race was associated with adherence to breast cancer screening guidelines (OR, 2.85; 95% CI, 1.78-4.56; P < .001) but not colorectal cancer screening guidelines. CONCLUSIONS AND RELEVANCEIn this cross-sectional study, women residing in rural areas were less likely to be adherent to colorectal cancer screening guidelines but were similarly adherent to breast cancer screening. This suggests that colorectal cancer screening, a more recent intervention, may not be as available in rural areas as breast cancer screening, ie, colorectal screening has lower amenability.
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