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BACKGROUND The purpose of this study was to estimate the proportion of Chinese cancer survivors experiencing financial hardship and then examine the relationship between material and behavioral financial hardship. METHODS This study surveyed 964 cancer survivors who were 30 to 64 years old and 644 survivors who were 65 years old or older during 2015-2016 (1608 survivors in all). Material financial hardship was measured by whether they had borrowed money because of cancer, its treatment, or the lasting effects of treatment, and behavioral financial hardship was measured by whether they had forgone some cancer-related medical care because of cost. Multivariable logistic regression models were used to examine factors associated with material financial hardship by age group. RESULTS Approximately 44% of the cancer survivors who were 65 years old or older borrowed money or went into debt because of cancer, and 54% of younger patients (P

BACKGROUND China accounts for approximately 27% of global cancer deaths. However, to the authors' knowledge, the lasting effects of cancer and cancer treatments on patients have not been investigated in China. The authors developed a questionnaire, the China Survey of Experiences with Cancer, for Chinese cancer survivors. This article introduces the study design and domains covered in the questionnaire. METHODS The Cancer Survivorship Supplement of the Medical Expenditure Panel Survey (MEPS) was used as a reference to develop the questionnaire. The final in-person surveys were conducted in 2015 and 2016. Samples were chosen through multistage sampling. The authors described the characteristics of the study participants and their cancer experiences. RESULTS At the time of last follow-up, a total of 1166 patients had completed at least 1 component of the survey. Approximately 59% of the cancer survivors were aged ≥60 years. Greater than one-half of the participants had an elementary education level or less (51%) and a yearly family income of

Purpose The Appalachian region presents disproportionately high rates of chronic disease compared to the rest of the United States. Early diagnosis of diabetes through screening is an important step in reducing diabetes complications. This study examines disparities in the use of diabetes screening in Appalachia. Methods We analyzed 2009 and 2010 Behavioral Risk Factor Surveillance System data for 96,111 adults aged ≥45 years from 11 Appalachian states. Based on economic status, Appalachian counties were grouped into distressed (least affluent), at-risk, transitional, and competitive (most affluent). Logistic regression analyses were used to estimate the statistical significance and effect size of factors associated with diabetes screening. Results Competitive counties had the highest rate of diabetes screening (65.4%). At-risk counties had the lowest rate (60.3%), about 7.8% lower compared to competitive counties (P < .001). After adjusting for socioeconomic factors, differences in screening rates between county economic levels in Appalachia were not statistically significant. Among respondents ≥65 years, at-risk counties had an 8.1% lower screening rate compared to competitive counties; this difference was not adequately explained by differences in socioeconomic factors. Screening rates in distressed and transitional counties were not significantly different from competitive counties in unadjusted or adjusted models. Conclusions At-risk counties had significantly lower screening rates than competitive counties. They should receive more policy attention similar to that received by distressed counties. Social policies that improve socioeconomic status and educational attainment, and health policies that reduce barriers to access to care may reduce disparities in diabetes screening rates in the less affluent Appalachian counties.

Purpose Despite being generally accepted that delays in diagnosing breast cancer are of prognostic and psychological concern, the influence of hospital characteristics on such delays remains poorly understood, especially in rural and underserved areas. However, hospital characteristics have been tied to greater efficiency and warrant further investigation as they may have implications for breast cancer care in these areas. Methods Study data were derived from the Kentucky, North Carolina, Ohio, and Pennsylvania state central cancer registries (2006-2008). We then linked Medicare enrollment files and claims data (2005-2009), the Area Resource File (2006-2008), and the American Hospital Association Annual Survey of Hospitals (2007) to create an integrated data set. Hierarchical linear modeling was used to regress the natural log of breast cancer diagnosis delay on a number of hospital-level, demographic, and clinical characteristics. Findings The baseline study sample consisted of 4,547 breast cancer patients enrolled in Medicare that lived in Appalachian counties at the time of diagnosis. We found that hospitals with for-profit ownership (P < .01) had shorter diagnosis delays than their counterparts. Estimates for comprehensive oncology services, system membership and size were not statistically significant at conventional levels. Conclusions Some structural characteristics of hospitals (eg, for-profit ownership) in the Appalachian region are associated with having shorter delays in diagnosing breast cancer. Researchers and practitioners must go beyond examining patient-level demographic and tumor characteristics to better understand the drivers of timely cancer diagnosis, especially in rural and underserved areas.

Purpose To document cancer-related health disparities in Appalachia. Methods The current study investigated disparities in cancer incidence, mortality, and staging between rural Appalachians and those living outside of rural Appalachia. To accomplish this, mortality data for the United States from 1969 to 2011 were obtained from the National Center for Health Statistics (NCHS) using SEER*Stat. These data were used to compare trends in mortality between rural Appalachians, urban Appalachians, rural non-Appalachians, and urban non-Appalachians. Cancer incidence trends, staging, and survivorship data were compared across regions using the SEER-18 Program, which represented 28% of the US population and includes 2 Appalachian states: Georgia and Kentucky. Results Cancer mortality rates declined in all regions, but disparities remained such that rural Appalachia has the highest incidence, while urban non-Appalachia has the lowest. In all but 1 state, rural Appalachians had higher cancer mortality rates than urban non-Appalachians. Cancer incidence declined for all regions except rural Appalachia. Rural Appalachians had lower rates of early stage breast cancer diagnoses than their urban non-Appalachian counterparts. Finally, rural Appalachians had lower 3- and 5-year survival rates than their urban non-Appalachian counterparts. Conclusions Rural Appalachians are faced with poorer cancer-related health outcomes across the continuum of cancer care. A systematic effort is needed to reduce the burden of cancer for rural Appalachia. Additional research should explore reasons for the disparities that were observed.

Purpose To examine local definitive therapy for non-metastatic breast cancer using the Centers for Disease Control and Prevention’s National Program of Cancer Registries Patterns of Care Breast and Prostate Cancer (POCBP) study.

Purpose The objective was to examine the impact of regular primary care encounters (PCE) on early breast cancer detection in an Appalachian sample of Medicare beneficiaries diagnosed 2006-2008. Determinants of PCE were investigated and a mediation analysis was conducted where PCE was a mediator to cancer stage. Methods A total of 3,589 cases were identified from Appalachian areas in Pennsylvania, Kentucky, Ohio, and North Carolina, and health care services were examined 2 months to 2 years prior to diagnosis. A regular care PCE variable was constructed with 4 ordinal levels: none, any, “annual,” and “semi-annual.” Association of PCE with stage, mortality and covariables was conducted using ordinal logistic regressions and Cox Proportional Hazards survival models. Results Sixty-eight percent of the cases had semi-annual PCE. Regular PCE was strongly associated with late-stage cancer rates (39%-13% by increasing PCE level, P < .0001) and 5-year all-cause mortality (42%-24%, P < .0001). Subgroup analysis revealed variations by hypertension and urban status, with nonhypertensives with no PCE being at particularly increased risk. Significant determinants of PCE included age, rural/urban status, comorbidity, dual Medicaid insurance, Appalachian region economic classification, state, select comorbidities, hypertension, and minimum distance to provider. Mediation analysis results were consistent with lower number of comorbidities leading to increased late cancer detection due to patients having a decreased PCE. Conclusion PCE is an important determinant of cancer detection, with a dose-response relationship. Variations exist by geography and hypertension. Comorbidity may influence both PCE and late-stage rates with partial mediation through PCE.

Purpose The mortality rate of laryngeal cancer has been trending downward with the use of more effective surgical, radiation, and systemic therapies. Although the best treatment for this disease is not entirely clear, there is a growing consensus on the value of primary radiotherapy as an organ preservation strategy. This study examines urban-rural differences in the use of radiotherapy as the primary treatment for early stage laryngeal cancer in Pennsylvania. Experimental Design The sample was drawn from the Pennsylvania tumor registry, which lists 2,437 laryngeal cancer patients diagnosed from 2001 to 2005. We selected 1,705 adults with early stage squamous cell carcinoma of the larynx for our analysis. Demographic data and tumor characteristics were included as control variables in multivariate analyses. Rurality was assigned by ZIP code of patient residence. Results Controlling for demographic and clinical factors, rural patients were less likely than urban patients to receive radiotherapy as the primary treatment modality for early stage larynx cancer (OR 0.740, 95% CI 0.577-0.949, P = .0087). No other associations between rural status and treatment choice were statistically significant. Conclusions Relatively fewer rural patients with larynx cancer are treated primarily with radiation therapy. Further investigations to describe this interaction more thoroughly, and to see if this observation is found in larger population data sets, are warranted.

Objectives: To explore the relationship between level and type of comorbidity and guideline-concordant care for early-stage breast cancer. Design: Cross-sectional. Setting: National Program of Cancer Registry (NPCR) Breast and Prostate Cancer Patterns of Care study, which re-abstracted medical records from 2004 in seven cancer registries. Participants: Individuals with stage 0�III breast cancer. Measurements: Multicomponent guideline-concordant management was modeled based on tumor size, node status, and hormone receptor status, according to consensus guidelines. Comorbid conditions and severity were measured using the Adult Comorbidity Evaluation Index (ACE-27). Multivariate logistic regression models determined factors associated with guideline-concordant care and included overall ACE-27 scores and 26 separate ACE comorbidity categories, age, race, stage, and source of payment. Results: The study sample included 6,439 women (mean age 58.7, range 20�99; 76% white; 44% with no comorbidity; 70% estrogen- or progesterone-receptor positive, or both; 31% human epidermal growth factor receptor 2 positive). Care was guideline concordant in 60%. Guideline concordance varied according to overall comorbidity burden (70% for none; 61% for minor; 58% for moderate, 43% for severe; P < .05). In multivariate analysis, the presence of hypertension (odds ratio (OR) = 1.15, 95% confidence interval (CI) = 1.01�1.30) predicted guideline concordance, whereas dementia (OR = 0.45, 95% CI = 0.24�0.82) predicted lack of guideline concordance. Older age (?50) and black race were associated with less guideline concordance, regardless of comorbidity level. Conclusion: When reporting survival outcomes in individuals with breast cancer with comorbidity, adherence to care guidelines should be among the covariates.

To model the relationship of an area-based measure of a breast cancer screening and geographic area deprivation on the incidence of later stage breast cancer (LSBC) across a diverse region of Appalachia.Central cancer registry data (2006-2008) from three Appalachian states were linked to Medicare claims and census data.Exploratory spatial analysis preceded the statistical model based on negative binomial regression to model predictors and effect modification by geographic subregions.Exploratory spatial analysis revealed geographically varying effects of area deprivation and screening on LSBC. In the negative binomial regression model, predictors of LSBC included receipt of screening, area deprivation, supply of mammography centers, and female population aged75 years. The most deprived counties had a 3.31 times greater rate of LSBC compared to the least deprived. Effect of screening on LSBC was significantly stronger in northern Appalachia than elsewhere in the study region, found mostly for high-population counties.Breast cancer screening and area deprivation are strongly associated with disparity in LBSC in Appalachia. The presence of geographically varying predictors of later stage tumors in Appalachia suggests the importance of place-based health care access and risk.

To examine the relationship between radiation therapy resources and guideline-concordant radiotherapy after breast-conserving surgery (BCS) in Kentucky.The SEER registry and Area Resource File provided county-level data describing cancer care resources and socioeconomic conditions of Kentucky residents.The outcome variable was rate of BCS without radiotherapy in each county for 2000-2007. Eight-year weighted average rates of radiation therapy providers and hospitals per 100,000 residents were explanatory variables of interest. Exploratory spatial data analyses and spatial econometric models were estimated.Appalachian counties in Kentucky had significantly fewer radiation oncologists, hospitals with radiation therapy facilities, and surgeons per 100,000 residents than non-Appalachian counties. The likelihood of BCS without radiation was significantly higher among Appalachian compared to non-Appalachian women (42.5 percent vs. 29.0 percent, p .001). Higher proportions of women not receiving recommended radiotherapy after BCS were clustered in Eastern Kentucky around Lexington. This geographic disparity was partially explained by significantly fewer radiation therapy facilities in Appalachian Kentucky in adjusted analyses.Scarce radiation therapy resources in Appalachian Kentucky are associated with disparities in receipt of guideline-concordant radiotherapy, suggesting that policy action is needed to improve the cancer treatment infrastructure in disadvantaged mountainous areas.

Diabet. Med. 29, e67–e74 (2012) Abstract Aims Post-hoc evaluation of relationships between first-year change in glycaemic control (HbA1c) and change in patient-reported outcomes among ACCORD health-related quality of life (HRQoL) substudy participants. Methods Data from 2053 glycaemia-trial subjects were analysed. We assessed physical and mental health status (36-Item Short Form Health Survey, Version-2), symptom count and severity (Diabetes Symptoms Distress Checklist) and treatment satisfaction (Diabetes Treatment Satisfaction Questionnaire). Linear mixed models were used to test relationships between 1-year changes in HbA1c and patient reported outcomes sequentially adjusting for correlates (baseline characteristics, baseline patient reported outcomes, treatment assignment, frequency of clinical contact and post-randomization weight change plus new complications). Results Poorer baseline control of HbA1c and cardiovascular disease risk factors predicted greater one-year improvements in treatment satisfaction. Similarly, poorer baseline patient reported outcome scores all individually predicted greater 1-year improvement in that same outcome. Accounting for baseline and post-randomization characteristics and treatment arm, 1-year change in HbA1c was unrelated to changes in overall physical or mental health; however, every one percentage-point (10.9 mmol/mol) reduction in HbA1c was associated with lower symptom count (β = 0.599; P = 0.012), lower symptom distress (β = 0.051; P = 0.001), and higher treatment satisfaction (β = −2.514; P

Maintenance of symptom control in Parkinson's disease (PD) requires continuous titration of medication and addition of multiple therapies over the course of the disease. Adherence to medication is vital to symptom control and key to maximizing the efficacy of existing therapies. However, adherence is compromised by a variety of factors, including motor symptoms, complex dosing regimens, multiple medications, and lack of patient/physician awareness of the impact and prevalence of suboptimal adherence. This retrospective, longitudinal cohort study assessed the prevalence of suboptimal adherence [measured as the medication possession ratio (MPR)] to PD medications, and its impact on the worsening of PD symptoms (measured as increase in monotherapy dose, augmentation of therapy, PD-related emergency department visit, or hospitalization), in a Medicare Health Maintenance Organization population in the United States. Irrespective of the MPR threshold chosen, a high percentage of patients were categorized as suboptimally adherent to their PD medications, and patients with suboptimal adherence to their PD medications had higher risks of worsening of PD symptoms, compared with those who were adherent. Increased awareness of both the magnitude and impact of suboptimal adherence to PD medications, coupled with dosage simplification and a unified effort by healthcare professionals and patients, may improve adherence to PD medications and ultimately improve symptom control.

This study tested the hypothesis that married psychiatric outpatients would have lower total health services expenditures than divorced or separated patients. Chart review of the 471 individuals attending an academic medical center outpatient psychiatric clinic during 1994 identified 131 married, 40 separated, and 93 divorced patients. Separated men had significantly higher average total charges ($16,890) than married ($5,279) or divorced ($5,539) men by one-way ANOVA (p < .05). The nonparametiric Mann-Whitney test also showed that separated men had higher charges than married or divorced men. There were no differences between marital status groups for women.

Previous research on rural and urban differences in risk of mortality has been inconclusive. This article used data from the National Longitudinal Mortality Study to establish whether all-cause mortality risk among persons 55 years and older varies by degree of urbanization, controlling for the potential sociodemographic confounders of age, gender, race/ethnicity, education, income, and marital status. Using the Cox Proportional Hazards Regression Procedure, the authors found that persons living in the most rural locales and those living in rural communities in standard metropolitan statistical areas (SMSAs) have the lowest risk of mortality, while those living in SMSA central cities had the highest risk of dying during the study period. The protective effect of rural residence declines in older age cohorts.