Among hospitals in the Premier Inc Perspective Database reporting SCIP performance, adherence measured through a global all-or-none composite infection-prevention score was associated with a lower probability of developing a postoperative infection. However, adherence reported on individual SCIP measures, which is the only form in which performance is publicly reported, was not associated with a significantly lower probability of infection.

Background Following a colonoscopy that is negative for cancer, a subset of patients may be diagnosed with colorectal cancer, also termed interval cancer. The frequency and predictors have not been well studied in a population-based U.S. cohort. Methods Using the linked SEER-Medicare database, we identified 57,839 patients aged ≥ 69 with colorectal cancer diagnosed between 1994 and 2005 and who underwent colonoscopy within 6 months of cancer diagnosis. Colonoscopy performed between 36 to 6 months prior to cancer diagnosis was a proxy for interval cancer. Results Using the case definition, 7.2% of patients developed interval cancers. Factors associated with interval cancers included proximal tumor location (distal colon multivariable OR 0.42, 95% CI 0.390–0.46, rectum OR 0.47, 95% CI 0.42–0.53), increased comorbidity (OR 1.89 95% CI 1.68 2.14 for 3 or more comorbidities), a previous diagnosis of diverticulosis (OR 6.00 95% CI 5.57–6.46), and prior polypectomy (OR 1.74, 95% CI 1.62–1.87). Risk factors at the endoscopist level included a lower polypectomy rate (OR 0.70, 95% CI 0.63–0.78 for the highest quartile), higher colonoscopy volume (OR 1.27, 95% CI 1.13–1.43) and specialty other than gastroenterology (colorectal surgery OR 1.45, 95% CI 1.16–1.83; general surgery OR 1.42, 95% CI 1.24–1.62; internal medicine OR 1.38, 95% CI 1.17–1.63, family practice OR 1.16, 95% CI 1.00–1.35). Conclusions A significant proportion of patients develop interval colorectal cancer, particularly in the proximal colon. Contributing factors likely include both procedural and biologic factors, and emphasize the importance of meticulous examination of the mucosa.

OBJECTIVES To identify patient characteristics associated with polypharmacy and inappropriate medication (PIM) use among older patients with newly diagnosed cancer. DESIGN Cross-Sectional Study. SETTING Ambulatory oncology clinics at an academic medical center. PARTICIPANTS 117 patients aged ≥ 65 years with newly diagnosed histologically confirmed stage I–IV cancer were enrolled between April 2008 and September 2009. MEASUREMENTS Medication review, included patient self-report and medical records. Polypharmacy was defined as the concurrent use of ≥ five medications, (Yes/No). PIM use was defined as use of ≥ one medication included in the 2003 update of Beers Criteria, (Yes/No). RESULTS The prevalence of polypharmacy and PIM use were 80% and 41%, respectively. Three independent correlates of medication use were identified. An increase in comorbidity count by one, ECOG-PS score by one, and PIM use by one, was associated with an increase in medication use by 0.48 (P=0.0002), 0.79 (P=0.01) and 1.22 (P=0.006), respectively. Two independent correlates of PIM use were identified. The odds of using PIMs decreased by 10% for one unit increase in Body Mass Index [Odds Ratio (OR) 0.90, 95% CI = (0.84, 0.97)], and increased by 18% for each increase in medication count by one [OR 1.18, 95% CI = (1.04, 1.34)]. CONCLUSION There was a high prevalence of polypharmacy and PIM use in older patients with newly diagnosed cancer. Given the co-occurrence of polypharmacy with poor performance status and multi-morbidity, multi-dimensional interventions are needed in the geriatric-oncology population to improve health and cancer outcomes.

Background Better risk predictions for colorectal cancer (CRC) could improve prevention strategies by allowing clinicians to more accurately identify high-risk individuals. The National Cancer Institute's CRC risk calculator was created by Freedman et al using case control data. Methods An online risk calculator was created using data from the Multi-Ethnic Cohort Study, which followed >180,000 patients for the development of CRC for up to 11.5 years through linkage with cancer registries. Forward stepwise regression tuned to the c statistic was used to select the most important variables for use in separate Cox survival models for men and women. Model accuracy was assessed using 10-fold cross-validation. Results Patients in the cohort experienced 2762 incident cases of CRC. The final model for men contained age, ethnicity, pack-years of smoking, alcoholic drinks per day, body mass index, years of education, regular use of aspirin, family history of colon cancer, regular use of multivitamins, ounces of red meat intake per day, history of diabetes, and hours of moderate physical activity per day. The final model for women included age, ethnicity, years of education, use of estrogen, history of diabetes, pack-years of smoking, family history of colon cancer, regular use of multivitamins, body mass index, regular use of nonsteroidal anti-inflammatory drugs, and alcoholic drinks per day. The calculator demonstrated good accuracy with a cross-validated c statistic of 0.681 in men and 0.679 in women, and it seems to be well calibrated graphically. An electronic version of the calculator is available at http://rcalc.ccf.org. Conclusion This calculator seems to be accurate, is user friendly, and has been internally validated in a diverse population.

Study Objective To compare survival and 5-year mortality, by Medicaid status, in adults diagnosed with 8 select cancers. Methods Linking records from the Ohio Cancer Incidence Surveillance System (OCISS) with Ohio Medicaid enrollment data, we identified Medicaid and non-Medicaid patients aged 15–54 years and diagnosed with the following incident cancers in the years 1996–2002: cancer of the testis; Hodgkin’s and non-Hodgkin’s lymphoma; early-stage melanoma, colon, lung, and bladder cancer; or pediatric malignancies (n=12,703). Medicaid beneficiaries were identified in the pre-diagnosis group if they were enrolled in Medicaid at least 3 months before cancer diagnosis, and in the peri/post-diagnosis group if they enrolled in Medicaid upon or after being diagnosed with cancer. We also linked the OCISS with death certificates and data from the U.S. Census. Using Cox and logistic regression analysis, we examined the association between Medicaid status and each of survival and 5-year mortality, respectively, after adjusting for patient covariates. Results Nearly 11% of the study population were Medicaid beneficiaries. Of those, 45% were identified in the peri/post-diagnosis group. Consistent with higher mortality, findings from the Cox regression model indicated that compared to non-Medicaid, patients in the Medicaid pre-diagnosis and peri/post-diagnosis groups experienced unfavorable survival outcomes (adjusted hazard ratio (AHR): 1.52, 95% confidence interval (1.27, 1.82), and 2.01 (1.70, 2.38), respectively). Conclusions Medicaid status was associated with unfavorable survival, even after adjusting for confounders. Impact The findings reflect the vulnerability of Medicaid beneficiaries and possible inadequacies in the process of care.

The proposed taxonomy will help us gain a more nuanced understanding of older cancer patients' clinical presentation and may lead to a more accurate identification of older patients who might benefit from standard cancer treatment, and those who might experience adverse outcomes.

BACKGROUND African Americans are diagnosed more frequently with colorectal carcinoma at a later stage compared with Caucasians. One potential reason for the disparity is a lower rate of screening examinations. METHODS Using Outpatient and Physician‐Supplier claims for all Medicare beneficiaries age ≥ 65 years in 1999, indications for fecal occult blood testing (FOBT), sigmoidoscopy, colonoscopy, and barium enema were divided into diagnostic, surveillance, or screening categories. Annualized rates were calculated based on the number of eligible fee‐for‐service months. RESULTS Rates of FOBT (18.24% vs. 11.86%; P < 0.001) and sigmoidoscopy (3.07% vs. 2.17%; P < 0.001) were higher in Caucasians compared with African Americans, whereas rates of barium enema were higher in African Americans (2.26% vs. 1.88%; P < 0.001). Colonoscopy use was more frequent among men only in Caucasians compared with African‐Americans (8.00% vs. 6.97%; P < 0.001). For FOBT, sigmoidoscopy, and colonoscopy, the racial differences in procedures performed for diagnostic purposes were of smaller magnitude than for screening; and, for colonoscopy, the use of diagnostic procedures actually was higher for African Americans. CONCLUSIONS Racial disparities exist not only in the use of colorectal procedures but also in the indications for such testing, with African Americans less likely to undergo screening tests. The differences are consistent with delay in ;100:418–24. © 2003 American Cancer Society.

BACKGROUND:The strategic framework on multiple chronic conditions released by the US Department of Health and Human Services calls for identifying homogeneous subgroups of older adults to effectively target interventions aimed at improving their health. OBJECTIVE: We aimed to identify combinations of chronic conditions, functional limitations, and geriatric syndromes that predict poor health outcomes. DESIGN, SETTING AND PARTICIPANTS Data from the 2010-2012 Health and Retirement Study provided a representative sample of U.S. adults 50 years of age or older (n=16,640). MAIN MEASURES: Outcomes were: Self-reported fair/poor health, self-rated worse health at 2 years, and 2-year mortality. The main independent variables included self-reported chronic conditions, functional limitations, and geriatric syndromes. We conducted tree-based classification and regression analysis to identify the most salient combinations of variables to predict outcomes. KEY RESULTS: Twenty-nine percent and 23 % of respondents reported fair/poor health and self-rated worse health at 2 years, respectively, and 5 % died in 2 years. The top combinations of conditions identified through our tree analysis for the three different outcome measures (and percent respondents with the outcome) were: a) for fair/poor health status: difficulty walking several blocks, depressive symptoms, and severe pain (> 80 %); b) for selfrated worse health at 2 years: 68.5 years of age or older, difficulty walking several blocks and being in fair/poor health (60 %); and c) for 2-year mortality: 80.5 years of age or older, and presenting with limitations in both ADLs and IADLs (> 40 %). CONCLUSIONS: Rather than chronic conditions, functional limitations and/or geriatric syndromes were the most prominent conditions in predicting health outcomes. These findings imply that accounting for chronic conditions alone may be less informative than also accounting for the co-occurrence of functional limitations and geriatric syndromes, as the latter conditions appear to drive health outcomes in older individuals.