Changes in the Use of Long-Term Medications Following Incident Dementia Diagnosis.

Importance: Dementia is a life-altering diagnosis that may affect medication safety and goals for chronic disease management. Objective: To examine changes in medication use following an incident dementia diagnosis among community-dwelling older adults. Design, Setting, and Participants: In this cohort study of adults aged 67 years or older enrolled in traditional Medicare and Medicare Part D, patients with incident dementia diagnosed between January 2012 and December 2018 were matched to control patients based on demographics, geographic location, and baseline medication count. The index date was defined as the date of first dementia diagnosis or, for controls, the date of the closest office visit. Data were analyzed from August 2021 to June 2023. Exposure: Incident dementia diagnosis. Main Outcomes and Measures: The main outcomes were overall medication counts and use of cardiometabolic, central nervous system (CNS)-active, and anticholinergic medications. A comparative time-series analysis was conducted to examine quarterly changes in medication use in the year before through the year following the index date. Results: The study included 266 675 adults with incident dementia and 266 675 control adults; in both groups, 65.1% were aged 80 years or older (mean [SD] age, 82.2 [7.1] years) and 67.8% were female. At baseline, patients with incident dementia were more likely than controls to use CNS-active medications (54.32% vs 48.39%) and anticholinergic medications (17.79% vs 15.96%) and less likely to use most cardiometabolic medications (eg, diabetes medications, 31.19% vs 36.45%). Immediately following the index date, the cohort with dementia had a greater increase in mean number of medications used (0.41 vs -0.06; difference, 0.46 [95% CI, 0.27-0.66]) and in the proportion of patients using CNS-active medications (absolute change, 3.44% vs 0.79%; difference, 2.65% [95% CI, 0.85%-4.45%]) owing to an increased use of antipsychotics, antidepressants, and antiepileptics. The cohort with dementia also had a modestly greater decline in use of anticholinergic medications (quarterly change in use, -0.53% vs -0.21%; difference, -0.32% [95% CI, -0.55% to -0.08%]) and most cardiometabolic medications (eg, quarterly change in antihypertensive use: -0.84% vs -0.40%; difference, -0.44% [95% CI, -0.64% to -0.25%]). One year after diagnosis, 75.2% of the cohort with dementia were using 5 or more medications (2.8% increase). Conclusions and Relevance: In this cohort study of Medicare Part D beneficiaries, following an incident dementia diagnosis, patients were more likely to initiate CNS-active medications and modestly more likely to discontinue cardiometabolic and anticholinergic medications compared with the control group. These findings suggest missed opportunities to reduce burdensome polypharmacy by deprescribing long-term medications with high safety risks or limited likelihood of benefit or that may be associated with impaired cognition.

Measuring Racial Inequities In The Quality Of Care Across Oncology Practices In The US.

Racial inequities in clinical performance diminish overall health care system performance; however, quality assessments have rarely incorporated reliable measures of racial inequities. We studied care for more than one million Medicare fee-for-service beneficiaries with cancer to assess the feasibility of calculating reliable practice-level measures of racial inequities in chemotherapy-associated emergency department (ED) visits and hospitalizations. Specifically, we used hierarchical models to estimate adjusted practice-level Black-White differences in these events and described differences across practices. We calculated reliable inequity measures for 426 and 322 practices, depending on the measure. These practices reflected fewer than 10 percent of practices treating Medicare beneficiaries with chemotherapy, but they treated approximately half of all White and Black Medicare beneficiaries receiving chemotherapy and two-thirds of Black Medicare beneficiaries receiving chemotherapy. Black patients experienced chemotherapy-associated ED visits and hospitalizations at higher rates (54.2 percent and 35.8 percent, respectively) than White patients (45.7 percent and 31.9 percent, respectively). The median within-practice Black-White difference was 8.1 percentage points for chemotherapy-associated ED visits and 2.7 percentage points for chemotherapy-associated hospitalizations. Additional research is needed to identify other reliable measures of racial inequities in health care quality, measure care inequities in smaller practices, and assess whether providing practice-level feedback could improve equity.

Validating Reports of Chronic Conditions in the Medicare CAHPS Survey.

BACKGROUND: The Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey includes items about chronic conditions, health history, and self-rated health. Questions remain about the concordance between patient reports and administrative sources on questions related to health history. OBJECTIVE: To validate CAHPS measures of chronic conditions against claims-based measures from the Medicare Chronic Conditions Warehouse (CCW). METHODS: We linked CAHPS responses from 301,050 fee-for-service Medicare beneficiaries in 2010-2012 with summaries of their claims in the CCW and identified nearest equivalent measures of conditions across sources. We calculated sensitivities and specificities for conditions and estimated regression models to assess the effects of patient characteristics on the sensitivity. RESULTS: The sensitivity of CAHPS measures differed across conditions, ranging from 0.513 for history of stroke to 0.773 for history of cancer. Sensitivity was generally lower for older beneficiaries, those reporting good self-rated health, and those with fair or poor mental health. Specificity was 0.904 or greater for all conditions, up to 0.961 for stroke. CONCLUSIONS: Despite difference in timeframes and definitions of conditions, the measured sensitivities demonstrated reasonable validity. Variation in sensitivity is consistent with covariates that either directly measure health severity within a diagnosis or can be construed as a proxy for severity of illness.

Sleep debt: the impact of weekday sleep deprivation on cardiovascular health in older women.

STUDY OBJECTIVES: Short sleep duration is associated with increased cardiovascular disease (CVD) risk. However, it is uncertain whether sleep debt, a measure of sleep deficiency during the week compared to the weekend, confers increased cardiovascular risk. Because sleep disturbances increase with age particularly in women, we examined the relationship between sleep debt and ideal cardiovascular health (ICH) in older women. METHODS: Sleep debt is defined as the difference between self-reported total weekday and weekend sleep hours of at least 2 hours among women without apparent CVD and cancer participating in the Women's Health Stress Study follow-up cohort of female health professionals (N = 22 082). The ICH consisted of seven health factors and behaviors as defined by the American Heart Association Strategic 2020 goals including body mass index, smoking, physical activity, diet, blood pressure, total cholesterol, and glucose. RESULTS: Mean age was 72.1 ± 6.0 years. Compared to women with no sleep debt, women with sleep debt were more likely to be obese and have hypertension (pall < .05). Linear regression models adjusted for age and race/ethnicity revealed that sleep debt was significantly associated with poorer ICH (B = -0.13 [95% CI = -0.18 to -0.08]). The relationship was attenuated but remained significant after adjustment for education, income, depression/anxiety, cumulative stress, and snoring. CONCLUSION: Sleep debt was associated with poorer ICH, despite taking into account socioeconomic status and psychosocial factors. These results suggest that weekly sleep duration variation, possibly leading to circadian misalignment, may be associated with cardiovascular risk in older women.

Analysis of Physician Variation in Provision of Low-Value Services.

Importance: Facing new financial incentives to reduce unnecessary spending, health care organizations may attempt to reduce wasteful care by influencing physician practices or selecting more cost-effective physicians. However, physicians' role in determining the use of low-value services has not been well described. Objectives: To quantify variation in provision of low-value health care services among primary care physicians and to estimate the proportion of variation attributable to physician characteristics that may be used to predict performance. Design, Setting, and Participants: This retrospective analysis included national Medicare fee-for-service claims of 3 159 834 beneficiaries served by 41 773 generalist physicians from January 1, 2008, through December 31, 2013 (data were analyzed in 2016 through 2018). Multilevel modeling was used to estimate the extent of variation in service use across physicians within their region and provider organization, adjusted for patient clinical and sociodemographic characteristics and sampling variation. The proportion of variation attributable to physician characteristics that may be used to predict performance (age, sex, academic degree, professorship, publication record, trial investigation, grant receipt, pharmaceutical or device manufacturer payment, and panel size) was estimated via additional regression analysis. Main Outcomes and Measures: Annual count per beneficiary of 17 primary care-associated services that provide minimal clinical benefit. Results: Among the 3 159 834 beneficiaries (58.3% women; mean [SD] age, 73.2 [11.0] years) served by 41 773 physicians (74.9% men; mean [SD] age, 48.0 [10.1] years), the mean annual rate of low-value services was 33.1 services per 100 beneficiaries. Considerable variation across physicians within the same region was found (SD, 8.8 [95% CI, 8.7-8.9]; 90th:10th percentile ratio, 2.03 [95% CI, 2.01-2.06]) and across physicians within the same organization (SD, 6.1 [95% CI, 6.0-6.2]; 90th:10th percentile ratio, 1.61 [95% CI, 1.60-1.63]). The corresponding rates at the 10th percentile of physicians within region and within organization respectively were 21.8 and 25.3 services per 100 beneficiaries. Observable physician characteristics accounted for only 4.4% of physician variation within region and 1.4% of physician variation within organization. Conclusions and Relevance: Physician practices may substantially contribute to low-value service use, which is prevalent even among the least wasteful physicians. Because little variation is predicted by measured physician characteristics, direct measures of low-value care provision may aid organizational efforts to encourage high-value practices.

Adverse Selection into and within the Individual Health Insurance Market in California in 2014.

OBJECTIVE: The Affordable Care Act (ACA) introduced reforms to mitigate adverse selection into and within the individual insurance market. We examined the traits and predicted medical spending of enrollees in California post-ACA. DATA SOURCES: Survey of 2,103 enrollees in individual market plans, on- and off-exchange, in 2014. STUDY DESIGN: We compared actual versus potential participants using data from the 2014 California Health Interview Survey on respondents who were individually insured or uninsured. We predicted annual medical spending for each group using age, sex, self-rated health, body mass index, smoking status, and income. PRINCIPAL FINDINGS: Average predicted spending was similar for actual ($3,377, 95 percent CI [$3,280-$3,474]) and potential participants ($3,257 [$3,060-$3,454]); however, some vulnerable subgroups were underrepresented. On- versus off-exchange enrollees differed in sociodemographic and health traits with modest differences in spending ($3,448 [$3,330-$3,565] vs. $3,175 [$3,012-$3,338]). CONCLUSIONS: We did not find evidence of selection into the overall insurance pool in 2014; however, differences by exchange status reflect the importance of including off-exchange enrollees in analyses and the pool for risk adjustment. California's post-ACA individual market has been a relative success, highlighting the importance of state policies and outreach efforts to encourage participation in the market.

Low-Value Service Use in Provider Organizations.

OBJECTIVE: To assess whether provider organizations exhibit distinct profiles of low-value service provision. DATA SOURCES: 2007-2011 Medicare fee-for-service claims and enrollment data. STUDY DESIGN: Use of 31 services that provide minimal clinical benefit was measured for 4,039,733 beneficiaries served by 3,137 provider organizations. Variation across organizations, persistence within organizations over time, and correlations in use of different types of low-value services within organizations were estimated via multilevel modeling, with adjustment for beneficiary sociodemographic and clinical characteristics. PRINCIPAL FINDINGS: Organizations provided 45.6 low-value services per 100 beneficiaries on average, with considerable variation across organizations (90th/10th percentile ratio, 1.78; 95 percent CI, 1.72-1.84), including substantial between-organization variation within hospital referral regions (90th/10th percentile ratio, 1.66; 95 percent CI, 1.60-1.71). Low-value service use within organizations was highly correlated over time (r, 0.98; 95 percent CI, 0.97-0.99) and positively correlated between 13 of 15 pairs of service categories (average r, 0.26; 95 percent CI, 0.24-0.28), with the greatest correlation between low-value imaging and low-value cardiovascular testing and procedures (r, 0.54). CONCLUSIONS: Use of low-value services in provider organizations exhibited substantial variation, high persistence, and modest consistency across service types. These findings are consistent with organizations shaping the practice patterns of affiliated physicians.

Cumulative psychological stress and cardiovascular disease risk in middle aged and older women: Rationale, design, and baseline characteristics.

Although a growing body of evidence indicates strong links between psychological stress (stress) and untoward cardiovascular disease (CVD) outcomes, comprehensive examination of these effects remains lacking. The "Cumulative Psychological Stress and Cardiovascular Disease Risk in Middle Aged and Older Women" study is embedded within the landmark Women's Health Study (WHS) follow-up cohort and seeks to evaluate the individual and joint effects of stressors (cumulative stress) on incident CVD risk, including myocardial infarction, stroke, coronary revascularization and CVD death. GWAS data will be used for exploratory analyses to identify any genes associated with stress and CVD. This study prospectively follows 25,335 women (mean age 72.2 ± 6.04 years) without CVD who returned a short mailed stress questionnaire at baseline and 3 years of follow-up inquiring about their experiences with stress including perceived stress, work stress, work-family spillover, financial stress, traumatic and major life events, discrimination and neighborhood environment/stressors. Other domains ascertained were sleep, anger, cynical hostility, depression, anxiety, social support, intimate partner relations, and volunteer and social activities. Higher levels of cumulative stress were associated with younger age and black race/ethnicity, divorced or separated marital status, increased prevalence of obesity, smoking, diabetes, depression and anxiety (p<0.001 for each). Findings from this study will provide clinically important, new information about associations of cumulative stress, environmental, lifestyle and genetic factors with incident CVD risk in aging women.

Location Isn't Everything: Proximity, Hospital Characteristics, Choice of Hospital, and Disparities for Breast Cancer Surgery Patients.

OBJECTIVE: Assess the relative importance of proximity and other hospital characteristics in the choice of hospital for breast cancer surgery by race/ethnicity. DATA: SEER-Medicare data. STUDY DESIGN: Observational study of women aged >65 years receiving surgery for stage I/II/III breast cancer diagnosed in 1992-2007 in Detroit (N = 10,746 white/black), Atlanta (N = 4,018 white/black), Los Angeles (N = 9,433 white/black/Asian/Hispanic), and San Francisco (N = 4,856 white/black/Asian). We calculated the distance from each patient's census tract of residence to each area hospital. We estimated discrete choice models for the probability of receiving surgery at each hospital based on distance and assessed whether deviations from these predictions entailed interactions of hospital characteristics with the patient's race/ethnicity. We identified high-quality hospitals by rates of adjuvant radiation therapy and by survey measures of patient experiences, and we assessed how observed surgery rates at high-quality hospitals deviated from those predicted based on distance alone. PRINCIPAL FINDINGS: Proximity was significantly associated with hospital choice in all areas. Minority more often than white breast cancer patients had surgery at hospitals with more minority patients, those treating more Medicaid patients, and in some areas, lower quality hospitals. CONCLUSIONS: Residential location alone does not explain concentration of racial/ethnic-minority breast cancer surgery patients in certain hospitals that are sometimes of lower quality.

A comparison of relative resource use and quality in Medicare Advantage health plans versus traditional Medicare.

OBJECTIVES: Prior analyses of Medicare health plans have examined either utilization of services or quality of care, but not both jointly. Our objective was to compare utilization and quality for Medicare Advantage (MA) enrollees with diabetes or cardiovascular disease to that for similarly defined traditional Medicare (TM) beneficiaries. STUDY DESIGN: Cross-sectional matched observational study using data for 2007. METHODS: We obtained individual-level Healthcare Effectiveness Data and Information Set (HEDIS) relative resource use (RRU) and quality data for patients enrolled in MA, and then developed comparable claims-based measures for matched samples of TM beneficiaries. MAIN OUTCOME MEASURES: utilization levels for inpatient care, evaluation and management services, and surgery; number of emergency department (ED) and inpatient visits; and quality of ambulatory care measures. RESULTS: We studied approximately 680,000 MA health maintenance organization (HMO) enrollees with diabetes and 270,000 HMO enrollees with cardiovascular conditions. For both conditions and almost all major strata, the RRU was lower for those enrolled in MA than for those in TM. Spending for those with diabetes was $5223 for MA HMO enrollees compared with $6413 for those in TM (cost ratio, 0.81; P < .001). ED utilization rates were consistently lower in MA than TM (567 vs 719 visits/1000 enrollees; rate ratio, 0.79; P < .001). Health plans that are more established, nonprofit, and/or larger generally had lower resource use and better relative quality than did smaller, newer, for-profit HMOs or preferred provider organizations. CONCLUSIONS: RRU for those with diabetes or cardiovascular disease is lower in MA, while quality of care is higher. Better MA plans may add value to the care of these major chronic medical conditions.

Recognizing Differences in Hospital Quality Performance for Pediatric Inpatient Care.

BACKGROUND: Hospital quality-of-care measures are publicly reported to inform consumer choice and stimulate quality improvement. The number of hospitals and states with enough pediatric hospital discharges to detect worse-than-average inpatient care remains unknown. METHODS: This study was a retrospective analysis of hospital discharges for children aged 0 to 17 years from 3974 hospitals in 44 states in the 2009 Kids' Inpatient Database. For 11 measures of all-condition or condition-specific quality, we assessed the number of hospitals and states that met a "power standard" of 80% power for a 5% level significance test to detect when care is 20% worse than average over a 3-year period. For this assessment, we approximated volume as 3 times actual 2009 admission volumes. RESULTS: For all-condition quality, 1380 hospitals (87% of all pediatric discharges) and all states met the power standard for the family experience-of-care measure; 1958 hospitals (95% of discharges) and all states met the standard for adverse drug events. For condition-specific quality measures of asthma, birth, and mental health, 203 to 482 hospitals (52%-90% of condition-specific discharges) met the power standard and 40 to 44 states met the standard. One hospital and 16 states met the standard for sickle cell disease. No hospital and ≤27 states met the standard for the remaining measures studied (appendectomy, cerebrospinal fluid shunt surgery, gastroenteritis, heart surgery, and seizure). CONCLUSIONS: Most children are admitted to hospitals in which all-condition measures of quality have adequate power to show modest differences in performance from average, but most condition-specific measures do not. Policies regarding incentives for pediatric inpatient quality should take these findings into account.

Unveiling SEER-CAHPS®: a new data resource for quality of care research.

BACKGROUND: Since 1990, the National Cancer Institute (NCI) and Centers for Medicare and Medicaid Services (CMS) have collaborated to create linked data resources to improve our understanding of patterns of care, health care costs, and trends in utilization. However, existing data linkages have not included measures of patient experiences with care. OBJECTIVE: To describe a new resource for quality of care research based on a linkage between the Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS®) patient surveys and the NCI's Surveillance, Epidemiology and End Results (SEER) data. DESIGN: This is an observational study of CAHPS respondents and includes both fee-for-service and Medicare Advantage beneficiaries with and without cancer. The data linkage includes: CAHPS survey data collected between 1998 and 2010 to assess patient reports on multiple aspects of their care, such as access to needed and timely care, doctor communication, as well as patients' global ratings of their personal doctor, specialists, overall health care, and their health plan; SEER registry data (1973-2007) on cancer site, stage, treatment, death information, and patient demographics; and longitudinal Medicare claims data (2002-2011) for fee-for-service beneficiaries on utilization and costs of care. PARTICIPANTS: In total, 150,750 respondents were in the cancer cohort and 571,318 were in the non-cancer cohort. MAIN MEASURES: The data linkage includes SEER data on cancer site, stage, treatment, death information, and patient demographics, in addition to longitudinal data from Medicare claims and information on patient experiences from CAHPS surveys. KEY RESULTS: Sizable proportions of cases from common cancers (e.g., breast, colorectal, prostate) and short-term survival cancers (e.g., pancreas) by time since diagnosis enable comparisons across the cancer care trajectory by MA vs. FFS coverage. CONCLUSIONS: SEER-CAHPS is a valuable resource for information about Medicare beneficiaries' experiences of care across different diagnoses and treatment modalities, and enables comparisons by type of insurance.

Developing and Evaluating Composite Measures of Cancer Care Quality.

BACKGROUND: Composite measures are useful for distilling quality data into summary scores; yet, there has been limited use of composite measures for cancer care. OBJECTIVE: Compare multiple approaches for generating cancer care composite measures and evaluate how well composite measures summarize dimensions of cancer care and predict survival. STUDY DESIGN: We computed hospital-level rates for 13 colorectal, lung, and prostate cancer process measures in 59 Veterans Affairs hospitals. We computed 4 empirical-factor (based on an exploratory factor analysis), 3 cancer-specific (colorectal, lung, prostate care), and 3 care modality-specific (diagnosis/evaluation, surgical, nonsurgical treatments) composite measures. We assessed correlations among all composite measures and estimated all-cause survival for colon, rectal, non-small cell lung, and small cell lung cancers as a function of composite scores, adjusting for patient characteristics. RESULTS: Four factors emerged from the factor analysis: nonsurgical treatment, surgical treatment, colorectal early diagnosis, and prostate treatment. We observed strong correlations (r) among composite measures comprised of similar process measures (r=0.58-1.00, P<0.0001), but not among composite measures reflecting different care dimensions. Composite measures were rarely associated with survival. CONCLUSIONS: The empirical-factor domains grouped measures variously by cancer type and care modality. The evidence did not support any single approach for generating cancer care composite measures. Weak associations across different care domains suggest that low-quality and high-quality cancer care delivery may coexist within Veterans Affairs hospitals.

Proactive tobacco cessation outreach to smokers of low socioeconomic status: a randomized clinical trial.

IMPORTANCE: Widening socioeconomic disparities in mortality in the United States are largely explained by slower declines in tobacco use among smokers of low socioeconomic status (SES) than among those of higher SES, which points to the need for targeted tobacco cessation interventions. Documentation of smoking status in electronic health records (EHRs) provides the tools for health systems to proactively offer tobacco treatment to socioeconomically disadvantaged smokers. OBJECTIVE: To evaluate a proactive tobacco cessation strategy that addresses sociocontextual mediators of tobacco use for low-SES smokers. DESIGN, SETTING, AND PARTICIPANTS: This prospective, randomized clinical trial included low-SES adult smokers who described their race and/or ethnicity as black, Hispanic, or white and received primary care at 1 of 13 practices in the greater Boston area (intervention group, n = 399; control group, n = 308). INTERVENTIONS: We analyzed EHRs to identify potentially eligible participants and then used interactive voice response (IVR) techniques to reach out to them. Consenting patients were randomized to either receive usual care from their own health care team or enter an intervention program that included (1) telephone-based motivational counseling, (2) free nicotine replacement therapy (NRT) for 6 weeks, (3) access to community-based referrals to address sociocontextual mediators of tobacco use, and (4) integration of all these components into their normal health care through the EHR system. MAIN OUTCOMES AND MEASURES: Self-reported past-7-day tobacco abstinence 9 months after randomization ("quitting"), assessed by automated caller or blinded study staff. RESULTS: The intervention group had a higher quit rate than the usual care group (17.8% vs 8.1%; odds ratio, 2.5; 95% CI, 1.5-4.0; number needed to treat, 10). We examined whether use of intervention components was associated with quitting among individuals in the intervention group: individuals who participated in the telephone counseling were more likely to quit than those who did not (21.2% vs 10.4%; P < .001). There was no difference in quitting by use of NRT. Quitting did not differ by a request for a community referral, but individuals who used their referral were more likely to quit than those who did not (43.6% vs 15.3%; P < .001). CONCLUSIONS AND RELEVANCE: Proactive, IVR-facilitated outreach enables engagement with low-SES smokers. Providing counseling, NRT, and access to community-based resources to address sociocontextual mediators among smokers reached in this setting is effective. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01156610.

Overuse of colonoscopy for colorectal cancer screening and surveillance.

BACKGROUND: Ongoing efforts to increase colorectal cancer (CRC) screening rates have raised concerns that these exams may be overused, thereby subjecting patients to unnecessary risks and wasting healthcare resources. OBJECTIVE: Our aim was to measure overuse of screening and surveillance colonoscopies among average-risk adults, and to identify correlates of overuse. DESIGN, SETTING, AND PARTICIPANTS: Our approach was a retrospective cohort study using electronic health record data for patients 50-65 years old with no personal history of CRC or colorectal adenomas with an incident CRC screening colonoscopy from 2001 to 2010 within a multispecialty physician group practice. MAIN OUTCOME MEASURES: We measured time to next screening or surveillance colonoscopy and predictors of overuse (exam performed more than one year earlier than guideline recommended intervals) of colonoscopies. KEY RESULTS: We identified 1,429 adults who had an incident colonoscopy between 2001 and 2010, and they underwent an additional 871 screening or surveillance colonoscopies during a median follow-up of 6 years. Most follow-up screening colonoscopies (88%) and many surveillance colonoscopies (49%) repeated during the study represented overuse. Time to next colonoscopy after incident screening varied by exam findings (no polyp: median 6.9 years, interquartile range [IQR]: 5.1-10.0; hyperplastic polyp: 5.7 years, IQR: 4.9-9.7; low-risk adenoma: 5.1 years, IQR: 3.3-6.3; high-risk adenoma: 2.9 years, IQR: 2.0-3.4, p < 0.001). In logistic regression models of colonoscopy overuse, an endoscopist recommendation for early follow-up was strongly associated with overuse of screening colonoscopy (OR 6.27, 95% CI: 3.15-12.50) and surveillance colonoscopy (OR 13.47, 95% CI 6.61-27.46). In a multilevel logistic regression model, variation in the overuse of screening colonoscopy was significantly associated with the endoscopist performing the previous exam. CONCLUSIONS: Overuse of screening and surveillance exams are common and should be monitored by healthcare systems. Variations in endoscopist recommendations represent targets for interventions to reduce overuse.

Elderly breast and colorectal cancer patients' clinical course: patient and contextual influences.

BACKGROUND: The social and medical environments that surround people are each independently associated with their cancer course. The extent to which these characteristics may together mediate patients' cancer care and outcomes is not known. METHODS: Using multilevel methods and data, we studied elderly breast and colorectal cancer patients (level I) within urban social (level II: ZIP code tabulation area) and health care (level III: hospital service area) contexts. We sought to determine (1) which, if any, observable social and medical contextual attributes were associated with patient cancer outcomes after controlling for observable patient attributes, and (2) the magnitude of residual variation in patient cancer outcomes at each level. RESULTS: Numerous patient attributes and social area attributes, including poverty, were associated with unfavorable patient cancer outcomes across the full clinical cancer continuum for both cancers. Health care area attributes were not associated with patient cancer outcomes. After controlling for observable covariates at all 3 levels, there was substantial residual variation in patient cancer outcomes at all levels. CONCLUSIONS: After controlling for patient attributes known to confer risk of poor cancer outcomes, we find that neighborhood socioeconomic disadvantage exerts an independent and deleterious effect on residents' cancer outcomes, but the area supply of the specific types of health care studied do not. Multilevel interventions targeted at cancer patients and their social areas may be useful. We also show substantial residual variation in patient outcomes across social and health care areas, a finding potentially relevant to traditional small area variation research methods.

Combining information from two data sources with misreporting and incompleteness to assess hospice-use among cancer patients: a multiple imputation approach.

Combining information from multiple data sources can enhance estimates of health-related measures by using one source to supply information that is lacking in another, assuming the former has accurate and complete data. However, there is little research conducted on combining methods when each source might be imperfect, for example, subject to measurement errors and/or missing data. In a multisite study of hospice-use by late-stage cancer patients, this variable was available from patients' abstracted medical records, which may be considerably underreported because of incomplete acquisition of these records. Therefore, data for Medicare-eligible patients were supplemented with their Medicare claims that contained information on hospice-use, which may also be subject to underreporting yet to a lesser degree. In addition, both sources suffered from missing data because of unit nonresponse from medical record abstraction and sample undercoverage for Medicare claims. We treat the true hospice-use status from these patients as a latent variable and propose to multiply impute it using information from both data sources, borrowing the strength from each. We characterize the complete-data model as a product of an 'outcome' model for the probability of hospice-use and a 'reporting' model for the probability of underreporting from both sources, adjusting for other covariates. Assuming the reports of hospice-use from both sources are missing at random and the underreporting are conditionally independent, we develop a Bayesian multiple imputation algorithm and conduct multiple imputation analyses of patient hospice-use in demographic and clinical subgroups. The proposed approach yields more sensible results than alternative methods in our example. Our model is also related to dual system estimation in population censuses and dual exposure assessment in epidemiology.

Hospital-based health care use correlates with incidence of adverse events among elderly Medicare patients treated in adjuvant chemotherapy trials (Alliance 70802).

OBJECTIVE: Medicare claims can be useful in chemotherapy-related comparative effectiveness research (CER) estimating survival, but methods for estimating patients' treatment morbidity are currently lacking. We sought to determine if patients' health care use in the claims is a marker of treatment morbidity. MATERIALS AND METHODS: For 249 elderly Medicare patients with breast or colon cancer who were treated in two adjuvant clinical trials, we merged patients' National Cancer Institute Common Toxicity Criteria for Adverse Events (CTC AEs) trial data with their contemporaneous Medicare claims. We estimated associations of patients' grade ≥3 CTC AE counts and their use of two types of hospital-based health care in claims (i.e., emergency room (ER) visits and hospitalizations). RESULTS: ER visits and hospitalizations were significantly positively associated with grade ≥3 CTC AE counts incurred by patients during the study. Eight percent of patients without any grade ≥3 CTC AEs had one or more hospitalizations during the observation period compared to 43% of patients with three or more grade ≥3 CTC AEs (p<0.01). Those who were hospitalized at least once had more than three times the rate of grade ≥3 CTC AEs (IRR 3.70, 95% CI: 2.53-5.40) compared to those who were not. With each hospitalization, the daily incidence rate of any grade ≥3 CTC AE more than doubled (IRR 2.10, 95% CI: 1.54-2.86). CONCLUSIONS: Because hospitalization is strongly associated with clinically significant toxicity it may be a useful outcome for Medicare claim-based CER comparing treatment morbidity for elderly patients receiving different adjuvant chemotherapy regimens.

Improvements in health status after Massachusetts health care reform.

CONTEXT: Massachusetts enacted health care reform in 2006 to expand insurance coverage and improve access to health care. The objective of our study was to compare trends in health status and the use of ambulatory health services before and after the implementation of health reform in Massachusetts relative to that in other New England states. METHODS: We used a quasi-experimental design with data from the Behavioral Risk Factor Surveillance System from 2001 to 2011 to compare trends associated with health reform in Massachusetts relative to that in other New England states. We compared self-reported health and the use of preventive services using multivariate logistic regression with difference-in-differences analysis to account for temporal trends. We estimated predicted probabilities and changes in these probabilities to gauge the differential effects between Massachusetts and other New England states. Finally, we conducted subgroup analysis to assess the differential changes by income and race/ethnicity. FINDINGS: The sample included 345,211 adults aged eighteen to sixty-four. In comparing the periods before and after health care reform relative to those in other New England states, we found that Massachusetts residents reported greater improvements in general health (1.7%), physical health (1.3%), and mental health (1.5%). Massachusetts residents also reported significant relative increases in rates of Pap screening (2.3%), colonoscopy (5.5%), and cholesterol testing (1.4%). Adults in Massachusetts households that earned up to 300% of the federal poverty level gained more in health status than did those above that level, with differential changes ranging from 0.2% to 1.3%. Relative gains in health status were comparable among white, black, and Hispanic residents in Massachusetts. CONCLUSIONS: Health care reform in Massachusetts was associated with improved health status and the greater use of some preventive services relative to those in other New England states, particularly among low-income households. These findings may stem from expanded insurance coverage as well as innovations in health care delivery that accelerated after health reform.

Racial and ethnic differences in use of mammography between Medicare Advantage and traditional Medicare.

BACKGROUND: Breast cancer is a leading cause of mortality for women in all racial/ethnic groups. We compared use of mammography by race/ethnicity in Medicare health maintenance organizations (HMOs), preferred provider organizations (PPOs), and traditional Medicare. METHODS: We matched 495 836 women in HMOs and 81 480 women in PPOs who were aged 65 to 69 years during 2009 to women enrolled in traditional Medicare by race/ethnicity, Medicaid eligibility status, and geographic area. We identified mammography use from the Healthcare Effectiveness Data and Information Set for Medicare HMOs and PPOs and from claims data for traditional Medicare with the same specifications. We then compared racial/ethnic differences in rates of mammography in HMOs and PPOs to matched populations in traditional Medicare and estimated differences with z tests. All statistical tests were two-sided. RESULTS: Relative to matched white women, mammography rates were statistically significantly higher for black, Hispanic, and Asian/Pacific Islander women in HMOs (6.1, 5.4, and 0.9 percentage points, respectively; all P ≤ .003) and statistically significantly lower for all three groups in traditional Medicare (3.3, 7.4, and 7.7 percentage points, respectively; all P < .001). Similar improvements in mammography rates also were observed in PPOs among all minority groups relative to traditional Medicare. CONCLUSIONS: Higher rates of mammography in HMOs and PPOs were associated with a reversal of racial and ethnic differences observed in traditional Medicare. These differences may be related to lower patient cost-sharing and better systems to promote preventive services in managed care plans, as well as unmeasured characteristics or beliefs of minority women who enroll in these health plans relative to those in traditional Medicare.