Type 2 diabetes and health-related quality of life among older Medicare beneficiaries: The mediating role of sleep.

OBJECTIVE: To examine mediating effects of sleep quality and duration on the association between T2D and QoL among Medicare beneficiaries 65+. METHODS: Data from the Medicare Health Outcome Survey (2015-2020) were used. The outcome was QoL (physical and mental health component-summary scores [PCS and MCS]) measured by the Veterans-Rand-12. The main predictor was diagnosed T2D. Mediators were sleep duration and sleep quality. The effect modifier was race/ethnicity. Structural Equation Modeling was used to estimate moderated-mediating effects of sleep quality and duration across race/ethnicity. RESULTS: Of the 746,400 Medicare beneficiaries, 26.7% had T2D, and mean age was 76 years (SD ± 6.9). Mean PCS score was 40 (SD ± 12.2), and mean MCS score was 54.0 (SD ± 10.2). Associations of T2D with PCS and MCS were negative and significant. For all racial/ethnic groups, those with T2D reported lower PCS. For White, Black, Asian, and Hispanic beneficiaries only, those with T2D reported lower MCS. The negative impact of T2D on PCS and MCS was mediated through sleep quality, especially very bad sleep quality. CONCLUSION: Improving sleep may lead to improvement in QoL in elderly adults with T2D.

Racial and skin color mediated disparities in pulse oximetry in infants and young children.

Race-based and skin pigmentation-related inaccuracies in pulse oximetry have recently been highlighted in several large electronic health record-based retrospective cohort studies across diverse patient populations and healthcare settings. Overestimation of oxygen saturation by pulse oximeters, particularly in hypoxic states, is disparately higher in Black compared to other racial groups. Compared to adult literature, pediatric studies are relatively few and mostly reliant on birth certificates or maternal race-based classification of comparison groups. Neonates, infants, and young children are particularly susceptible to the adverse life-long consequences of hypoxia and hyperoxia. Successful neonatal resuscitation, precise monitoring of preterm and term neonates with predominantly lung pathology, screening for congenital heart defects, and critical decisions on home oxygen, ventilator support and medication therapies, are only a few examples of situations that are highly reliant on the accuracy of pulse oximetry. Undetected hypoxia, especially if systematically different in certain racial groups may delay appropriate therapies and may further perpetuate health care disparities. The role of biological factors that may differ between racial groups, particularly skin pigmentation that may contribute to biased pulse oximeter readings needs further evaluation. Developmental and maturational changes in skin physiology and pigmentation, and its interaction with the operating principles of pulse oximetry need further study. Importantly, clinicians should recognize the limitations of pulse oximetry and use additional objective measures of oxygenation (like co-oximetry measured arterial oxygen saturation) where hypoxia is a concern.

Ecological Momentary Assessment of Midlife Adults' Daily Stress: Protocol for the Stress Reports in Variable Environments (STRIVE) App Study.

BACKGROUND: Daily stressors are associated with cognitive decline and increased risk of heart disease, depression, and other debilitating chronic illnesses in midlife adults. Daily stressors tend to occur at home or at work and are more frequent in urban versus rural settings. Conversely, spending time in natural environments such as parks or forests, or even viewing nature-themed images in a lab setting, is associated with lower levels of perceived stress and is hypothesized to be a strong stress "buffer," reducing perceived stress even after leaving the natural setting. However, many studies of daily stress have not captured environmental contexts and relied on end-of-day recall instead of in-the-moment data capture. With new technology, these limitations can be addressed to enhance knowledge of the daily stress experience. OBJECTIVE: We propose to use our novel custom-built Stress Reports in Variable Environments (STRIVE) ecological momentary assessment mobile phone app to measure the experience of daily stress of midlife adults in free-living conditions. Using our app to capture data in real time will allow us to determine (1) where and when daily stress occurs for midlife adults, (2) whether midlife adults' daily stressors are linked to certain elements of the built and natural environment, and (3) how ecological momentary assessment measurement of daily stress is similar to and different from a modified version of the popular Daily Inventory of Stressful Events measurement tool that captures end-of-day stress reports (used in the Midlife in the United States [MIDUS] survey). METHODS: We will enroll a total of 150 midlife adults living in greater Indianapolis, Indiana, in this study on a rolling basis for 3-week periods. As those in underrepresented minority groups and low-income areas have previously been found to experience greater levels of stress, we will use stratified sampling to ensure that half of our study sample is composed of underrepresented minorities (eg, Black, American Indian, Hispanic, or Native Pacific Islanders) and approximately one-third of our sample falls within low-, middle-, and high-income brackets. RESULTS: This project is funded by the National Institute on Aging from December 2022 to November 2024. Participant enrollment began in August 2023 and is expected to finish in July 2024. Data will be spatiotemporally analyzed to determine where and when stress occurs for midlife adults. Pictures of stressful environments will be qualitatively analyzed to determine the common elements of stressful environments. Data collected by the STRIVE app will be compared with retrospective Daily Inventory of Stressful Events data. CONCLUSIONS: Completing this study will expand our understanding of midlife adults' experience of stress in free-living conditions and pave the way for data-driven individual and community-based intervention designs to promote health and well-being in midlife adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/51845.

Factors associated with breast cancer screening services use among women in the United States: An application of the Andersen's Behavioral Model of Health Services Use.

This study applied Andersen's Behavioral Model of Health Services Use to examine predisposing, enabling, and need factors associated with adherence to the United States Preventive Services Task Force (USPSTF) guidelines for breast cancer screening (BCS). Multivariable logistic regression was used to determine factors of BCS services utilization among 5484 women aged 50-74 from the 2019 National Health Interview Survey. Predisposing factors significantly associated with use of BCS services were: being a Black (odds-ratios [OR]:1.49; 95% confidence interval [CI]:1.14-1.95) or a Hispanic woman (OR:2.25; CI:1.62-3.12); being married/partnered (OR:1.32, CI:1.12-1.55); having more than a bachelor's degree (OR: 1.62; CI:1.14-2.30); and living in rural areas (OR:0.72; CI:0.59-0.92). Enabling factors were: poverty level [≤138% federal poverty level (FPL) (OR:0.74; CI:0.56-0.97), >138-250% FPL (OR:0.77; CI:0.61-0.97), and > 250-400% FPL (OR:0.77; CI:0.63-0.94)]; being uninsured (OR:0.29; CI:0.21-0.40); having a usual source of care at a physician office (OR:7.27; CI:4.99-10.57) or other healthcare facilities (OR:4.12; CI:2.68-6.33); and previous breast examination by a healthcare professional (OR:2.10; CI:1.68-2.64). Need factors were: having fair/poor health (OR:0.76; CI:0.59-0.97) and being underweight (OR:0.46; CI:0.30-0.71). Disparities in BCS services utilization by Black and Hispanic women have been reduced. Disparities still exist for uninsured and financially restrained women living in rural areas. Addressing disparities in BCS uptake and improving adherence to USPSTF guidelines may require revamping policies that address disparities in enabling resources, such as health insurance, income, and health care access.

Insurance Coverage and Forgoing Medical Appointments Because of Cost Among Cancer Survivors After 2016.

PURPOSE: The uninsured rate began rising after 2016, which some have attributed to health policies undermining aspects of the Affordable Care Act. Our primary objectives were to assess the changes in insurance coverage and forgoing medical care because of cost in cancer survivors from pre-enactment (2016) through postenactment of those policies (2019) and determine whether there were subgroups that were disproportionately affected. METHODS: The 2016-2019 Behavioral Risk Factor Surveillance System surveys were queried for 18- to 64-year-old cancer survivors. Survey-weighted logistic regression was used to assess temporal changes in (1) insurance coverage and (2) forgoing medical appointments because of cost in the preceding 12 months. RESULTS: A total of 62,669 cancer survivors were identified. The percentage of insured cancer survivors decreased from 92.4% in 2016 to 90.4% in 2019 (odds ratio for change in insurance coverage or affordability per one-year increase [ORyear], 0.92; 95% CI, 0.86 to 0.98; P = .01), translating to 161,000 fewer cancer survivors in the United States with insurance coverage. There were decreases in employer-sponsored insurance coverage (ORyear, 0.89) but increases in Medicaid coverage (ORyear, 1.17) from 2016 to 2019. Forgoing medical appointments because of cost increased from 17.9% in 2016 to 20.0% in 2019 (ORyear, 1.05; 95% CI, 1.01 to 1.1; P = .025), affecting an estimated 169,000 cancer survivors. The greatest changes were observed among individuals with low income, particularly those residing in nonexpansion states. CONCLUSION: Between 2016 and 2019, there were 161,000 fewer cancer survivors in the United States with insurance coverage, and 169,000 forwent medical care because of cost.

Trends in spatial access to colonoscopy in South Carolina, 2000-2014.

BACKGROUND: Colonoscopy use has increased since Medicare began covering screening for average-risk persons. Our objective was to describe changes in spatial access to colonoscopy in South Carolina (SC) between 2000 and 2014. METHODS: Using data from the SC Ambulatory Surgery Database, we created annual ZIP Code Tabulation Area (ZCTA) spatial accessibility scores. We assessed changes in accessibility, colonoscopy supply, and potential demand, overall and by metropolitan designation. Spatial clustering was also explored. RESULTS: Spatial accessibility decreased across both small rural and metropolitan ZCTAs but was significantly higher in metropolitan areas during the first part of the study period . The proportion of persons with no access to colonoscopy within 30 min increased over time but was consistently higher in small rural areas. Clusters of low accessibility grew over time. CONCLUSIONS: The supply of colonoscopy facilities decreased relative to the potential demand, and clusters of low access increased, indicating a contraction of services.

Spatial predictive properties of built environment characteristics assessed by drop-and-spin virtual neighborhood auditing.

BACKGROUND: Virtual neighborhood audits have been used to visually assess characteristics of the built environment for health research. Few studies have investigated spatial predictive properties of audit item responses patterns, which are important for sampling efficiency and audit item selection. We investigated the spatial properties, with a focus on predictive accuracy, of 31 individual audit items related to built environment in a major Metropolitan region of the Northeast United States. METHODS: Approximately 8000 Google Street View (GSV) scenes were assessed using the CANVAS virtual audit tool. Eleven trained raters audited the 360° view of each GSV scene for 10 sidewalk-, 10 intersection-, and 11 neighborhood physical disorder-related characteristics. Nested semivariograms and regression Kriging were used to investigate the presence and influence of both large- and small-spatial scale relationships as well as the role of rater variability on audit item spatial properties (measurement error, spatial autocorrelation, prediction accuracy). Receiver Operator Curve (ROC) Area Under the Curve (AUC) based on cross-validated spatial models summarized overall predictive accuracy. Correlations between predicted audit item responses and select demographic, economic, and housing characteristics were investigated. RESULTS: Prediction accuracy was better within spatial models of all items accounting for both small-scale and large- spatial scale variation (vs large-scale only), and further improved with additional adjustment for rater in a majority of modeled items. Spatial predictive accuracy was considered 'Excellent' (0.8 ≤ ROC AUC < 0.9) for full models of all but four items. Predictive accuracy was highest and improved the most with rater adjustment for neighborhood physical disorder-related items. The largest gains in predictive accuracy comparing large- + small-scale to large-scale only models were among intersection- and sidewalk-items. Predicted responses to neighborhood physical disorder-related items correlated strongly with one another and were also strongly correlated with racial-ethnic composition, socioeconomic indicators, and residential mobility. CONCLUSIONS: Audits of sidewalk and intersection characteristics exhibit pronounced variability, requiring more spatially dense samples than neighborhood physical disorder audits do for equivalent accuracy. Incorporating rater effects into spatial models improves predictive accuracy especially among neighborhood physical disorder-related items.

Using multilevel regression with poststratification to obtain regional health estimates from a Facebook-recruited sample.

PURPOSE: We assess the effectiveness of multilevel regression with poststratification (MRP) as a tool to mitigate selection bias from online surveys of small geographical regions. METHODS: We collected self-reported health information from an Internet-based sample of adults residing within the St. Louis, MO, metropolitan area in 2017. We created Bayesian hierarchical models with three sets of predictor variables for each of six common health behaviors and outcomes, with results poststratified using the American Community Survey to estimate region and ZIP Code Tabulation Area-level prevalence. RESULTS: When comparing MRP estimates with a population-based sample as a reference, we found that adjustment using MRP can reduce bias in prevalence estimates and provide estimates for local area prevalence. 14 of 18 adjusted estimates were closer to the benchmark than the unadjusted estimates and MRP using all three covariate sets resulted in better overall agreement with the benchmark compared with the unadjusted estimates. CONCLUSIONS: MRP can improve prevalence estimates from self-selected Internet-based samples, although a nonnegligible amount of bias may remain. Illustrating the utility and limitations of this method will help researchers develop relevant estimates of the local public health burden, helping local health officials better understand and reduce poor health outcomes.

Disparities in Utilization of Medical Specialists for Colonoscopy.

Purpose: Colonoscopy is the preferred screening modality for colorectal cancer (CRC) prevention. The quality of the procedure varies although medical specialists such as gastroenterologists and colorectal surgeons tend to have better outcomes. We aimed to determine whether there are demographic and clinical differences between those who received a colonoscopy from a specialist versus those who received a colonoscopy from a nonspecialist. Methods: Using the population-based South Carolina Outpatient Ambulatory Surgery Database, we looked retrospectively to obtain patient-level endoscopy records from 2010 to 2014. We used multilevel logistic regression to model whether patients saw a specialist for their colonoscopy. The primary variables were patient race and insurance type, and an interaction by rurality was tested. Results: Of the 392,285 patients included in the analysis, 81% saw a specialist for their colonoscopy. County of residence explained 30% of the variability in the outcome. Non-Hispanic black (OR=0.65; confidence interval [95% CI]: 0.64-0.67) and Hispanic patients (OR=0.75; 95% CI: 0.67-0.84) were significantly less likely than non-Hispanic white patients to see a specialist. Compared with commercial/HMO insurance, all other types were less likely to see a specialist, and even more so for rural patients. The interaction of race by rurality was not significant. Conclusions: Specialists play a key role in CRC screening and can affect later downstream outcomes. This study has shown that ethnic minorities and adults with public or other insurance, particularly in rural areas, are most likely not to see a specialist. These results are consistent with disparities in CRC incidence, mortality, and survival.

Bayesian deprivation index models for explaining variation in elevated blood lead levels among children in Maryland.

Lead exposure adversely affects children's health. Exposure in the United States is highest among socioeconomically disadvantaged individuals who disproportionately live in substandard housing. We used Bayesian binomial regression models to estimate a neighborhood deprivation index and its association with elevated blood lead level (EBLL) risk using blood lead level testing data in Maryland census tracts. Our results show the probability of EBLL was spatially structured with high values in Baltimore city and low values in the District of Columbia suburbs and Baltimore suburbs. The association between the neighborhood deprivation index and EBLL risk was statistically significant after accounting for spatial dependence in probability of EBLL. The percent of houses built before 1940, African Americans, and renter occupied housing were the most important variables in the index. Bayesian models provide a flexible one-step approach to modeling risk associated with neighborhood deprivation while accounting for spatially structured and unstructured heterogeneity in risk.

Rural-Urban Differences in Access to Thoracic Surgery in the United States, 2010 to 2014.

BACKGROUND: Because of recent lung cancer screening recommendations and corresponding insurance coverage, it is expected that more early stage cases will be identified that require thoracic surgery. However, these services may not be equally available in all regions. Our objective is to describe the availability of thoracic surgeons by examining geographic variation, rural-urban differences, and temporal changes before and after screening recommendation and insurance coverage policy changes. METHODS: We examined the U.S. thoracic surgery workforce using the 2010 and 2014 Area Health Resource Files. We calculated the density of thoracic surgeons per 100,000 persons for each year at the state and county level. We performed descriptive statistics and developed maps highlighting changes over time and geographic regions. RESULTS: Despite an overall increase in thoracic surgeons from 2010 to 2014, we observed declining density nationwide (1.5% change) and in sparsely populated states. The difference in thoracic surgeon density widened slightly between 2010 from 0.80 per 100,000 compared with 0.84 per 100,000 in 2014 in all rural counties compared with urban counties (P < .001 for both years). The difference in thoracic surgeon density was most pronounced between small adjacent rural and urban counties (0.95 and 0.96 per 100,000 for 2010 and 2014, respectively; P < .001 for both years). The Northeast held a disproportionate share of the thoracic surgery workforce. CONCLUSIONS: Limited access to thoracic surgeons in rural areas is a concern, given an older and retiring surgical workforce, the higher burden of lung cancer in rural areas, and recent policy changes for screening reimbursement.

Association of Patient Social, Cognitive, and Functional Risk Factors with Preventable Hospitalizations: Implications for Physician Value-Based Payment.

BACKGROUND: Ambulatory care-sensitive condition (ACSC) hospitalizations are used to evaluate physicians' performance in Medicare value-based payment programs. However, these measures may disadvantage physicians caring for vulnerable populations because they omit social, cognitive, and functional factors that may be important determinants of hospitalization. OBJECTIVE: To determine whether social, cognitive, and functional risk factors are associated with ACSC hospitalization rates and whether adjusting for them changes outpatient safety-net providers' performance. DESIGN: Using data from the Medicare Current Beneficiary Survey, we conducted patient-level multivariable regression to estimate the association (as incidence rate ratios (IRRs)) between patient-reported social, cognitive, and functional risk factors and ACSC hospitalizations. We compared outpatient safety-net and non-safety-net providers' performance after adjusting for clinical comorbidities alone and after additional adjustment for social, cognitive, and functional factors captured in survey data. SETTING: Safety-net and non-safety-net clinics. PARTICIPANTS: Community-dwelling Medicare beneficiaries contributing 38,616 person-years from 2006 to 2013. MEASUREMENTS: Acute and chronic ACSC hospitalizations. RESULTS: After adjusting for clinical comorbidities, Alzheimer's/dementia (IRR 1.30, 95% CI 1.02-1.65), difficulty with 3-6 activities of daily living (ADLs) (IRR 1.43, 95% CI 1.05-1.94), difficulty with 1-2 instrumental ADLs (IADLs, IRR 1.54, 95% CI 1.26-1.90), and 3-6 IADLs (IRR 1.90, 95% CI 1.49-2.43) were associated with acute ACSC hospitalization. Low income (IRR 1.28, 95% CI 1.03-1.58), lack of educational attainment (IRR 1.33, 95% CI 1.04-1.69), being unmarried (IRR 1.18, 95% CI 1.01-1.36), difficulty with 1-2 IADLs (IRR 1.30, 95% CI 1.05-1.60), and 3-6 IADLs (IRR 1.44, 95% CI 1.16-1.80) were associated with chronic ACSC hospitalization. Adding these factors to standard Medicare risk adjustment eliminated outpatient safety-net providers' performance gap (p < .05) on ACSC hospitalization rates relative to non-safety-net providers. CONCLUSIONS: Social, cognitive, and functional risk factors are independently associated with ACSC hospitalizations. Failure to account for them may penalize outpatient safety-net providers for factors that are beyond their control.

Testing the Feasibility of Using Ecological Momentary Assessment to Collect Real-Time Behavior and Mood to Predict Technology-Measured HIV Medication Adherence.

Identifying distinct patterns of behavior and mood in natural environments that interrupt medication adherence among individuals with HIV will be useful in informing intervention development. This pilot study assessed the initial efficacy of using ecologic momentary assessment to define patterns of alcohol use, mood, and medication adherence. Participants reported intraday alcohol use and mood using app-enabled smartphones and MEMSCap pill bottles to measure medication adherence. There were 34 enrolled participants, 29 of whom completed the 28-day study. Participants drank a mean of 7.75 days of the study period. The positive and negative affect scores ranged from 10 to 50, with a mean of 25.7 and 11.4 for each, respectively. The average medication adherence for the sample was 94.1%. These findings suggest these types of data collection methods are increasingly acceptable in measuring real-time mood and behavior, which may better inform interventions addressed at increasing HIV adherence practices.

Explaining variation in elevated blood lead levels among children in Minnesota using neighborhood socioeconomic variables.

BACKGROUND: Childhood lead exposure is linked to numerous adverse health effects and exposure in the United States is highest among people living in substandard housing, which is disproportionately inhabited by socioeconomically disadvantaged individuals. In this paper, we compared the Vox lead exposure risk score and concentrated disadvantage based on principal component analysis (PCA) to weighted quantile sum (WQS) regression to determine which method was best able to explain variation in elevated blood lead levels (EBLLs). METHODS: We constructed indices for census tracts in Minnesota and used them in Poisson regression models to identify the best socioeconomic measure for explaining EBLL risk. RESULTS: All indices had a significant association with EBLL in separate models. The WQS index had the best goodness-of-fit, followed next by the Vox index, and then the concentrated disadvantage index. Among the most important variables in the WQS index were percent of houses built before 1940, percent renter occupied housing, percent unemployed, and percent African American population. CONCLUSIONS: The WQS approach was best able to explain variation in EBLL risk and identify census tracts where targeted interventions should be focused to reduce lead exposure.

Should Measures of Health Care Availability Be Based on the Providers or the Procedures? A Case Study with Implications for Rural Colorectal Cancer Disparities.

PURPOSE: Patients with colorectal cancer (CRC) living in rural areas have lower survival rates than those in urban areas, potentially because of lack of access to quality CRC screening and treatment. The purpose of this study was to compare traditional physician density (ie, colonoscopy provider availability per capita) against a new physician density measure using an example case of colonoscopy volume and quality. The latter is particularly relevant for rural providers, who may have fewer patients and are more frequently nongastroenterologists. METHODS: We conducted a secondary data analysis of the 2014 Medicare Provider Utilization and Payment Database and the National Cancer Institute State Cancer Profile Database. Volume-weighted physician density scores at the state and county levels were created, accounting for (1) the physician's annual colonoscopy volume and (2) whether the physician performs ≥100 procedures per year. We compared volume-weighted versus traditional density, overall and by rurality, and examined their correlation with CRC screening, incidence, and mortality rates. FINDINGS: The difference between volume-weighted and traditional density scores was particularly large in rural parts of the West and Midwest, and it was most similar in the Northeast. Although weak, correlations with CRC outcomes were stronger for volume-weighted density, and they did not differ by rurality. CONCLUSIONS: Our new method is an improvement over traditional methods because it considers the variation of physician procedure volume, and it has a stronger correlation with population health outcomes. Weighted density scores portray a more realistic picture of physician supply, particularly in rural areas.

Antimuscarinic Use in Men Treated With Bladder Outlet Obstruction Medication Therapy.

OBJECTIVE: To assess changes over time in the use of antimuscarinics (AM) among visits in adult men treated with bladder outlet obstruction (BOO) medication therapy (ie, alpha blocker and 5-alpha reductase inhibitors). METHODS: We used the National Ambulatory Medicare Care Survey database (2006-2014) to identify men aged 40 or older, who initiated or continued on BOO medication therapy. Among these visits, we assessed the percentage of AM and evaluated trends of AM use across between 2006 and 2014 using multivariable logistic regression. RESULTS: Overall, there were 7561 patient visits in men aged 40 or older, who were treated with BOO medication therapy between 2006 and 2014 which equates to approximately 158 million visits in the United States after incorporating National Ambulatory Medicare Care Survey weights. Overall, AM was used in 3.7% of visits, among those who were treated with BOO medication therapy; use of AM increased with age. In the multivariable analysis, there was no increasing trend in the use of AM in 2006 relative to subsequent years through 2014 (P = .8104). CONCLUSION: Despite a previous study that showed an increasing trend in antimuscarinic use among patients coded for lower urinary tract symptoms or benign prostatic hyperplasia between 1993 and 2010, several recent randomized-controlled trials, and a recommendation in a clinical practice guideline in 2010, we found no increasing trend in antimuscarinic use among visits in men who were treated with BOO medication therapy in 2006 compared to subsequent years. This suggests the potential undertreatment of antimuscarinics and an area for improved prescribing.

Incidence and Risk of Second Primary Malignant Neoplasm After a First Head and Neck Squamous Cell Carcinoma.

Importance: Second primary malignant neoplasms (SPMNs) are the leading cause of death in survivors of head and neck squamous cell carcinoma (HNSCC). Recently, human papillomavirus (HPV) has emerged as a risk factor for oropharyngeal squamous cell carcinoma and has different prognosis from classic tobacco/alcohol-associated HNSCC. This suggests that there also may be different risks and burden of SPMNs among patients who's HNSCC were from HPV or tobacco and/or alcohol. Objective: To assess SPMN risks and burden in a large US cohort of patients with a first potentially HPV-associated HNSCC vs non-HPV-associated HNSCC. Design, Setting, and Participants: In this population-based retrospective cohort study, 109 512 adult patients diagnosed with HNSCC between 2000 and 2014 were identified from the Surveillance, Epidemiology, and End Results registry. Exposures: HPV-relatedness based on whether patients' first HNSCC was potentially associated with HPV. Patients were grouped into 2 cohorts: potentially HPV-associated HNSCC, and non-HPV-associated HNSCC. Main Outcomes and Measures: The primary outcome was incidence of SPMN (defined as the first subsequent primary cancer occurring at least 2 months after first cancer diagnosis). Excess SPMN risk was calculated using relative (standardized incidence ratios [SIRs]) and absolute (excess absolute risk [EAR] per 10 000 person-years at risk [PYR]). Results: A total of 109 512 patients with HNSCC (mean [SD] age, 61.9 [12.1] years; 83 305 [76.1%] men) were identified. The overall SIR was 2.18 (95% CI, 2.14-2.22) corresponding to 160 excess cases per 10 000 PYR. The risk among patients with first potentially HPV-associated HNSCC (SIR, 1.98; EAR, 114 excess cases per 10 000 PYR) was lower than those with first non-HPV-associated HNSCC (SIR, 2.28; EAR, 188 excess cases per 10 000 PYR). Overall, the largest SIRs and EARs were observed for cancers of the head and neck, lung, and esophagus. However, the risks of SPMN were lower among potentially HPV-associated HNSCC patients. Conclusions and Relevance: Patients diagnosed with HNSCC experience excess risk of SPMN, which was higher among those with non-HPV-associated HNSCC than from potentially HPV-associated HNSCC. Clinicians should implement strategies that prevent or detect SPMN early in patients with HNSCC.

Differential Prescribing of Antimuscarinic Agents in Older Adults with Cognitive Impairment.

BACKGROUND: Oral oxybutynin has been associated with the development of cognitive impairment. OBJECTIVE: The objective of this study was to describe the use of oral oxybutynin versus other antimuscarinics (e.g., tolterodine, darifenacin, solifenacin, trospium, fesoterodine, transdermal oxybutynin) in older adults with documented cognitive impairment. METHODS: This is a population-based retrospective analysis of antimuscarinic new users aged ≥ 66 years from January 2008 to December 2011 (n = 42,886) using a 5% random sample of Medicare claims linked with Part D data. Cognitive impairment was defined as a diagnosis of mild cognitive impairment, dementia, use of antidementia medication, and memory loss/drug-induced cognitive conditions in the year prior to the initial antimuscarinic claim. We used multivariable generalized linear models to assess indicators of cognitive impairment associated with initiation of oral oxybutynin versus other antimuscarinics after adjusting for comorbid conditions. RESULTS: In total, 33% received oral oxybutynin as initial therapy. Cognitive impairment was documented in 10,259 (23.9%) patients prior to antimuscarinic therapy. Patients with cognitive impairment were 5% more likely to initiate another antimuscarinic versus oral oxybutynin (relative risk [RR] 1.05; 95% confidence interval [CI] 1.03-1.06). The proportion of patients with cognitive impairment initiated on oral oxybutynin increased from 24.1% in 2008 to 41.1% in 2011. The total cost of oral oxybutynin, in $US, year 2011 values, decreased by 10.5%, whereas the total cost of other antimuscarinics increased by 50.3% from 2008 to 2011. CONCLUSION: Our findings suggest opportunities for quality improvement of antimuscarinic prescribing in older adults, but this may be hampered by cost and formulary restrictions.

Patient, Hospital, and Geographic Disparities in Laparoscopic Surgery Use Among Surveillance, Epidemiology, and End Results-Medicare Patients With Colon Cancer.

BACKGROUND: Surgical resection is the primary treatment for colon cancer, but use of laparoscopic approaches varies widely despite demonstrated short- and long-term benefits. OBJECTIVE: The purpose of this study was to identify characteristics associated with laparoscopic colon cancer resection and to quantify variation based on patient, hospital, and geographic characteristics. DESIGN: Bayesian cross-classified, multilevel logistic models calculated adjusted ORs and CIs for patient, surgeon, hospital, and geographic characteristics and unexplained variability (predicted vs. observed values) using adjusted median odds ratios for hospitals and counties. SETTINGS: The Surveillance, Epidemiology, and End Results-Medicare claims database (2008-2011) supplemented with county-level American Community Survey (2008-2012) demographic data was used. PATIENTS: A total of 10,618 patients ≥66 years old who underwent colon cancer resection were included. MAIN OUTCOME MEASURES: Nonurgent/nonemergent resections for colon cancer patients ≥66 years old were classified as laparoscopic or open procedures. RESULTS: Patients resided in 579 counties and used 950 hospitals; 47% of patients underwent laparoscopic surgery. Medicare/Medicaid dual enrollment, age ≥85 years, and higher tumor stage and grade were negatively associated with laparoscopic surgery receipt; proximal tumors and increasing hospital size and surgeon caseload were positively associated. Significant unexplained variability at the hospital (adjusted median OR = 3.31; p < 0.001) and county levels (adjusted median OR = 1.28; p < 0.05) remained after adjustment. LIMITATIONS: This was an observational study lacking generalizability to younger patients without Medicare or those with Health Maintenance Organization coverage and data set did not reflect national hospital studies or hospital volume. In addition, we were unable to account for specific types of comorbidities, such as obesity, and had broad categories for surgeon caseload. CONCLUSIONS: Determining sources of hospital-level variation among poor insured patients may help increase laparoscopic resection to maximize health outcomes and reduce cost. See Video Abstract at http://links.lww.com/DCR/A363.

Neighborhood Conditions and Psychosocial Outcomes Among Middle-Aged African Americans.

OBJECTIVE: We examined associations between observed neighborhood conditions (good/adverse) and psychosocial outcomes (stress, depressive symptoms, resilience, and sense of control) among middle-aged and older African Americans. METHODS: The sample included 455 middle-aged and older African Americans examined in Wave 10 of the African American Health (AAH) study. Linear regression was adjusted for attrition, self-selection into neighborhoods, and potential confounders, and stratified by the duration at current address (<5 vs ≥5 years) because of its hypothesized role as an effect modifier. RESULTS: Among individuals who lived at their current address for ≥5 years, residing in neighborhoods with adverse versus good conditions was associated with significantly less stress (standardized ß = -0.18; P = .002) and depressive symptoms (standardized ß = -0.12; P = .048). Among those who lived at their current address for <5 years, residing in neighborhoods with adverse versus good conditions was not significantly associated with stress (standardized ß = 0.18; P = .305) or depressive symptoms (standardized ß = 0.36; P = .080). CONCLUSION: Neighborhood conditions appear to have significant, complex associations with psychosocial factors among middle-aged and older African Americans. This holds important policy implications, especially since adverse neighborhood conditions may still result in adverse physical health outcomes in individuals with >5 years at current residence despite being associated with better psychosocial outcomes.