Algorithm for Identifying Nursing Home Days Using Medicare Claims and Minimum Data Set Assessment Data.

BACKGROUND: No consensus exists about methods of measuring nursing home (NH) length-of-stay for Medicare beneficiaries to identify long-stay and short-stay NH residents. OBJECTIVES: To develop an algorithm measuring NH days of stay to differentiate between residents with long and short stay (≥101 and <101 consecutive days, respectively) and to compare the algorithm with Minimum Data Set (MDS) alone and Medicare claims data. RESEARCH DESIGN: We linked 2006-2009 MDS assessments to Medicare Part A skilled nursing facility (SNF) data. This algorithm determined the daily NH stay evidence by MDS and SNF dates. NH length-of-stay and characteristics were reported in the total, long-stay, and short-stay residents. Long-stay residents identified by the algorithm were compared with the NH evidence from MDS-alone and Medicare parts A and B data. RESULTS: Of 276,844 residents identified by our algorithm, 40.8% were long stay. Long-stay versus short-stay residents tended to be older, male, white, unmarried, low-income subsidy recipients, have multiple comorbidities, and have higher mortality but have fewer hospitalizations and SNF services. Higher proportions of long-stay and short-stay residents identified by the MDS/SNF algorithm were classified in the same group using MDS-only (98.9% and 100%, respectively), compared with the parts A and B data (95.0% and 67.1%, respectively). NH length-of-stay was similar between MDS/SNF and MDS-only long-stay residents (mean±SD: 717±422 vs. 720±441 d), but the lengths were longer compared with the parts A and B data (approximately 474±393 d). CONCLUSIONS: Our MDS/SNF algorithm allows the differentiation of long-stay and short-stay residents, resulting in an NH group more precise than using Medicare claims data only.

Dementia severity and the longitudinal costs of informal care in the Cache County population.

BACKGROUND: Dementia costs are critical for influencing healthcare policy, but limited longitudinal information exists. We examined longitudinal informal care costs of dementia in a population-based sample. METHODS: Data from the Cache County Study included dementia onset, duration, and severity assessed by the Mini-Mental State Examination (MMSE), Clinical Dementia Rating Scale (CDR), and Neuropsychiatric Inventory (NPI). Informal costs of daily care (COC) was estimated based on median Utah wages. Mixed models estimated the relationship between severity and longitudinal COC in separate models for MMSE and CDR. RESULTS: Two hundred and eighty-seven subjects (53% female, mean (standard deviation) age was 82.3 (5.9) years) participated. Overall COC increased by 18% per year. COC was 6% lower per MMSE-point increase and compared with very mild dementia, COC increased over twofold for mild, fivefold for moderate, and sixfold for severe dementia on the CDR. CONCLUSIONS: Greater dementia severity predicted higher costs. Disease management strategies addressing dementia progression may curb costs.

Trends in prevalence for moderate-to-severe pain and persistent pain among Medicare beneficiaries in nursing homes, 2006-2009.

BACKGROUND: Managing pain for the elderly is challenging due to their concurrent illnesses, underreport of pain, complex clinical manifestation of pain and higher chance of medication-related side effects. The objectives of this study were (a) to evaluate trends in annual prevalence of moderate-to-severe pain and persistent pain among Medicare beneficiaries residing in nursing homes; and (b) to identify resident and facility characteristics associated with persistent pain. METHODS: This was an observational study using linked data from 2006 to 2009 Medicare Current Beneficiary Survey and Minimum Data Set 2.0. Pain level was determined by a validated scale based on two items from Minimum Data Set 2.0 regarding frequency and intensity of pain. An episode of persistent pain was identified if moderate-to-severe pain reported at a Minimum Data Set 2.0 assessment was not alleviated at subsequent assessment. The Cochran-Armitage trend test was performed to detect trends in moderate-to-severe pain and persistent pain between 2006 and 2009. Generalize linear models using generalized estimating equation were used to identify characteristics associated with persistent pain. RESULTS: Annual prevalence of moderate-to-severe pain consistently declined from 29.3% in 2006 to 22.2% in 2009 (p < .01), while approximately 60% of beneficiaries experienced persistent pain annually (p = .50). Younger age, moderate initial pain, presence of diabetes, and skilled nursing home stays with assessments <21 days apart were associated with higher risks for persistent pain. CONCLUSIONS: Annual prevalence of moderate-to-severe pain has consistently declined among Medicare Beneficiaries in nursing homes. However, resolution of pain among residents experiencing moderate-to-severe pain was still problematic.

Depression among older adults after traumatic brain injury: a national analysis.

OBJECTIVE: Sequelae of traumatic brain injury (TBI) include depression, which could exacerbate the poorer cognitive and functional recovery experienced by older adults. The objective of this study was to estimate incidence rates of depression after hospital discharge for TBI among Medicare beneficiaries aged at least 65 years, quantify the increase in risk of depression after TBI, and evaluate risk factors for incident depression post-TBI. METHODS: Using a retrospective analysis, the authors studied Medicare beneficiaries at least 65 years old hospitalized for TBI during 2006 to 2010 who survived to hospital discharge and had no documented diagnosis of depression before the study period (N = 67,347). RESULTS: The annualized incidence rate of depression per 1,000 beneficiaries was 62.8 (95% confidence interval [CI]: 61.6, 64.1) pre-TBI and 123.9 (95% CI: 121.6, 126.2) post-TBI. Annualized incidence rates were highest immediately after hospital discharge and declined over the 12 months post-TBI. TBI increased the risk of incident depression in men (hazard ratio: 1.95; 95% CI: 1.84, 2.06; Wald χ(2) = 511.4, df = 1, p <0.001) and in women (hazard ratio: 1.69; 95% CI: 1.62, 1.77; Wald χ(2) = 589.3, df = 1, p <0.001). The strongest predictor of depression post-TBI for both men and women was discharge to a skilled nursing facility (men: odds ratio, 1.91; 95% CI, 1.77, 2.06; Wald χ(2) = 277.1, df = 1, p <0.001; women: odds ratio, 1.72; 95% CI, 1.63, 1.83; Wald χ(2) = 324.2, df = 1, p <0.001). CONCLUSION: TBI significantly increased the risk of depression among older adults, especially among men and those discharged to a skilled nursing facility. Results from this study will help increase awareness of the risk of depression post-TBI among older adults.

Patterns of Depression Treatment in Medicare Beneficiaries with Depression after Traumatic Brain Injury.

There are no clinical guidelines addressing the management of depression after traumatic brain injury (TBI). The objectives of this study were to (1) describe depression treatment patterns among Medicare beneficiaries with a diagnosis of depression post-TBI; (2) compare them with depression treatment patterns among beneficiaries with a diagnosis of depression pre-TBI; and (3) quantify the difference in prevalence of use. We conducted a retrospective analysis of Medicare beneficiaries hospitalized with TBI during 2006-2010. We created two cohorts: beneficiaries with a new diagnosis of depression pre-TBI (n=4841) and beneficiaries with a new diagnosis of depression post-TBI (n=4668). We searched for antidepressant medications in Medicare Part D drug event files and created variables indicating antidepressant use in each 30-day period after diagnosis of depression. We used provider specialty and current procedural terminology to identify psychotherapy in any location. We used generalized estimating equations to quantify the effect of TBI on receipt of depression treatment during the year after diagnosis of depression. Average monthly prevalence of antidepressant use was 42% among beneficiaries with a diagnosis of depression pre-TBI and 36% among those with a diagnosis post-TBI (p<0.001). Beneficiaries with a diagnosis of depression post-TBI were less likely to receive antidepressants compared with a depression diagnosis pre-TBI (adjusted odds ratio [OR] 0.87; 95% confidence interval [CI] 0.82, 0.92). There was no difference in receipt of psychotherapy between the two groups (OR 1.08; 95% CI 0.93, 1.26). Depression after TBI is undertreated among older adults. Knowledge about reasons for this disparity and its long-term effects on post-TBI outcomes is limited and should be examined in future work.

Use of drugs with anticholinergic properties among nursing home residents with dementia: a national analysis of Medicare beneficiaries from 2007 to 2008.

BACKGROUND: Older adults with dementia are vulnerable to the central deteriorating effects of drugs with anticholinergic properties (DAPs). These effects include falls and confusion and may exacerbate dementia-related symptoms. Many individuals with dementia also receive acetylcholinesterase inhibitors (AChEIs), indicated for mild to moderate Alzheimer's disease. AChEIs have opposing effects to DAPs and, consequently, concomitant use of DAPs and AChEIs may further impair cognition among patients with dementia. OBJECTIVES: Our objectives were to (1) evaluate the anticholinergic burden among nursing home (NH) residents with dementia; (2) characterize trends in use of DAPs and concomitant use of DAPs and AChEIs among NH residents with dementia; and (3) identify factors associated with the use of DAPs and concomitant use of DAPs and AChEIs. METHODS: We conducted a retrospective analysis of Medicare data from 2007 to 2008 linked to the Minimum Data Set. RESULTS: During the study period, 53,805 (77%) NH residents with dementia used at least one DAP each month. Sixty-seven percent of residents with dementia used Anticholinergic Cognitive Burden Scale (ACBS) level 1 DAPs, 3% used level 2 DAPs, and 31% used level 3 DAPs. Thirteen percent of NH residents with dementia concomitantly used ACBS levels 2 or 3 DAPs and AChEIs. CONCLUSIONS: This study sheds new light on the prevalence of DAP use and concomitant use of DAPs and AChEIs among NH residents with dementia. Clinicians should consider alternatives with lower anticholinergic effects, particularly in patients already taking DAPs.

Physician specialty cost differences of treating nonmelanoma skin cancer.

Specialty-related cost differences for the treatment of nonmelanoma skin cancer (NMSC) have been previously reported but without taking into account confounding factors. Using a previously validated model for NMSC episode of care, episodes were identified in the Medicare Current Beneficiary Survey claims 2005 to 2007. A γ regression with log link model estimated the effect of physician exposure on total episode costs controlling for sociodemographics, health status and comorbidities, treatment and repair procedures, as well as tumor size and location. Treatment-related NMSC episodes (1285) were identified. In the unadjusted model, episodes managed by generalists were associated with 36% lower costs, those by otolaryngologists/plastic surgeons with 82% higher costs, and those by multiple specialists with 111% higher costs, compared to dermatologists. Cost differences were substantially reduced in the adjusted regression analysis; compared to dermatologists, episodes managed by generalists were associated with 20% lower costs (P < 0.0001), whereas otolaryngologists/plastic surgeons and multiple specialists were associated with 20% (P < 0.01) and 11% (P = 0.02) higher costs, respectively. Overall, comparison between unadjusted and adjusted estimates suggests that controlling for severity and treatment modalities explains most of the specialty cost differences. Our estimates could be subject to residual confounding due to selection bias and the limitations to using claims data to characterize an NMSC episode of care. Adjusting for the severity of the disease and other confounders, our study found much smaller specialty-related cost differences for the management of NMSC than previously reported unadjusted estimates.

Quality of psychopharmacological medication prescribing and mortality in Medicare beneficiaries in nursing homes.

OBJECTIVES: To examine the influence of quality measures of psychopharmacological medication (PPM) prescribing on all-cause mortality in a Medicare long-stay nursing home (NH) population. DESIGN: Longitudinal. SETTING: 2007-09 Medicare data linked to Minimum Data Set 2.0 files. PARTICIPANTS: Four new-user cohorts of residents initiating antipsychotic (n=13,105), antidepressant (n=14,251), anxiolytic and sedative-hypnotic (n=10,789), and any PPM (n=14,568) medication. MEASUREMENTS: Three measures of PPM prescribing quality were assessed monthly with a 6-month look-back: evidence of appropriate indication, dose (modified standardized daily dose (mSDD); below (<1), at (1), and above (>1) recommended geriatric dose), and duration of therapy (DOT; ≤30, 31-60, 61-90, 91-180 days from medication initiation). Complementary log-log models with quality measures as time-dependent variables were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality. RESULTS: Appropriate use of antidepressants, anxiolytics and sedative-hypnotics, and any PPMs, as evidenced by appropriate indications, was significantly associated with lower mortality risk (HRantidepressants=0.81, 95% CI=0.76-0.86; HRanxiolytics and sedative-hypnotics=0.81, 0.75-0.88; HRPPM=0.89, 0.83-0.95). Antipsychotic and anxiolytic and sedative-hypnotic users with a mSDD of less than 1 had lower mortality risk than those with a mSDD greater than 1, whereas a protective effect was observed in antidepressant users with a mSDD greater than 1. In all four cohorts, those with a DOT of 91 to 180 days had lower mortality than those with a DOT of 1 month or less; the lower risk of mortality was detected after antipsychotic use for 31 days or longer. CONCLUSION: Optimal PPM prescribing quality, as measured by indication and duration, is associated with low mortality. The benefit related to drug dosage varied by therapeutic class. When prescribing PPMs to NH residents, providers should consider not only drug choice, but also dose and duration of prescribed regimens.

Validation of disability status, a claims-based measure of functional status for cancer treatment and outcomes studies.

BACKGROUND: In prior research, we developed a claims-based prediction model for poor patient disability status (DS), a proxy measure for performance status, commonly used by oncologists to summarize patient functional status and assess ability of a patient to tolerate aggressive treatment. In this study, we implemented and validated the DS measure in 4 cohorts of cancer patients: early and advanced non-small cell lung cancers (NSCLC), stage IV estrogen receptor-negative (ER-) breast cancer, and myelodysplastic syndromes (MDS). DATA AND METHODS: SEER-Medicare data (1999-2007) for the 4 cohorts of cancer patients. Bivariate and multivariate logistic regression tested the association of the DS measure with designated cancer-directed treatments: early NSCLC (surgery), advanced NSCLC (chemotherapy), stage IV ER- breast cancer (chemotherapy), and MDS (erythropoiesis-stimulating agents). Treatment model fit was compared across model iterations. RESULTS: In both unadjusted and adjusted results, predicted poor DS was strongly associated with a lower likelihood of cancer treatment receipt in all 4 cohorts [early NSCLC (N=20,280), advanced NSCLC (N=31,341), stage IV ER- breast cancer (N=1519), and MDS (N=6058)] independent of other patient, contextual, and disease characteristics, as well as the Charlson Comorbidity Index. Inclusion of the DS measure into models already controlling for other variables did not significantly improve model fit across the cohorts. CONCLUSIONS: The DS measure is a significant independent predictor of cancer-directed treatment. Small changes in model fit associated with both DS and the Charlson Comorbidity Index suggest that unobserved factors continue to play a role in determining cancer treatments.

Use of and spending on supportive care medications among Medicare beneficiaries with cancer.

PURPOSE: The study objective was to provide population-based estimates of supportive care medication (SCM) use among Medicare beneficiaries with cancer and determine factors related to SCM receipt. METHODS: This retrospective cohort study of community-based Medicare beneficiaries used the Medicare Current Beneficiary Survey (1997­2007). Dependent variables comprised use and spending on SCMs for three medication classes: opioids, antidepressants/sedative/hypnotics (ASH), and antiemetics. Independent variables of interest were supplemental insurance coverage, cancer site, and treatment. Multivariate models determined factors affecting receipt of, and spending on, SCMs. We also compared SCM use and spending among beneficiaries with and without cancer in order to understand what portion of SCM use and spending could be attributed to cancer as opposed to other comorbid conditions. RESULTS: A total of 1,836 Medicare beneficiaries with cancer and 9,898 beneficiaries without cancer were eligible for the study. Beneficiaries with cancer were more likely to receive opioids, ASH, and antiemetics compared to non-cancer beneficiaries. Adjusted annual payments for antiemetics were on average $637 higher in with cancer versus without cancer (p<0.01), while ASH payments were $184 lower (p<0.01). Opioid spending was similar among cancer and non-cancer users. Relative to colon cancer, beneficiaries with prostate cancer were least likely to receive any of the three SCM classes. Receipt of antineoplastic treatment increased the probability of use of all three classes of SCMs. Insurance coverage did not influence the use of or spending on opioids or antiemetics, but was associated with both outcomes for ASH. The use of all three SCM classes was significantly lower during years before Part D implementation of the new Medicare Part D prescription drug benefit and was higher after implementation of Part D. CONCLUSION: This study provides population-based information on SCM use among Medicare beneficiaries with cancer. Cancer site and treatment modality were important predictors of SCM use.

The effect of supplemental medical and prescription drug coverage on health care spending for Medicare beneficiaries with cancer.

OBJECTIVES: To examine whether patients with newly diagnosed cancer respond differently to supplemental coverage than the general Medicare population. METHODS: A cohort of newly diagnosed cancer patients (n = 1,799) from the 1997-2007 Medicare Current Beneficiary Survey and a noncancer cohort (n = 9,726) were identified and matched by panel year. Two-year total medical care spending was estimated by using generalized linear models with gamma distribution and log link-including endogeneity-corrected models. Interactions between cancer and type of insurance allowed testing for differential effects of a cancer diagnosis. RESULTS: The cancer cohort spent an adjusted $15,605 more over 2 years than did the noncancer comparison group. Relative to those without supplemental coverage, beneficiaries with employer-sponsored insurance, other private with prescription drug coverage, and public coverage had significantly higher total spending ($3,510, $2,823, and $4,065, respectively, for main models). For beneficiaries with cancer, supplemental insurance effects were similar in magnitude yet negative, suggesting little net effect of supplemental insurance for cancer patients. The endogeneity-corrected models produced implausibly large main effects of supplemental insurance, but the Cancer × Insurance interactions were similar in both models. CONCLUSIONS: Medicare beneficiaries with cancer are less responsive to the presence and type of supplemental insurance than are beneficiaries without cancer. Proposed restrictions on the availability of supplemental insurance intended to reduce Medicare spending would be unlikely to limit expenditures by beneficiaries with cancer, but would shift the financial burden to those beneficiaries. Policymakers should consider welfare effects associated with coverage restrictions.

Association between depression and maintenance medication adherence among Medicare beneficiaries with chronic obstructive pulmonary disease.

OBJECTIVE: Depression is a significant comorbidity in patients with chronic obstructive pulmonary disease (COPD). Although comorbid depression is associated with low use and poor adherence to medications treating other chronic conditions, evidence of the relationship between depression and COPD management is limited. This study estimated the association between depression and COPD maintenance medication (MM) adherence among patients with COPD. METHODS: This cross-sectional study used a 5% random sample of 2006-2007 Chronic Condition Warehouse data. Medicare beneficiaries enrolled in Parts A, B, and D plans with diagnosed COPD who survived through 2006 were included (n = 74,863). COPD MM adherence was measured as medication discontinuation and proportion of days covered (PDC). Depression was identified through the International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes. Multivariable models with modified generalized estimating equations were used to estimate adjusted association between depression diagnosis and medication adherence, controlling for sociodemographics, comorbidities, and disease severity. RESULTS: Among the sample, about one third (33.6%) had diagnosed depression. More than half (61.8%) of beneficiaries with COPD filled at least one COPD MM prescription. Depressed beneficiaries had a higher likelihood of using COPD MM than non-depressed beneficiaries (adjusted prevalence ratios [PR] = 1.02; 95% confidence intervals [CI] = 1.01, 1.03). Among COPD MM users, depressed beneficiaries were more likely to discontinue medications (PR = 1.09; 95% CI = 1.04, 1.14) and less likely to exhibit PDC ≥ 0.80 (PR = 0.89; 95% CI = 0.86, 0.92) than non-depressed beneficiaries. CONCLUSIONS: Depression is prevalent in Medicare beneficiaries with COPD and independently associated with lower COPD MM adherence. Interventions to improve medication adherence for COPD patients may consider management of comorbidities such as depression.

Quality of psychopharmacological medication use in nursing home residents.

BACKGROUND: Despite well-documented evidence regarding antipsychotic use in older adults residing in nursing homes (NHs), there is a lack of evidence-based use and quality benchmarks for other psychopharmacological medications (PPMs), including antidepressants, anxiolytics, and sedative-hypnotics. OBJECTIVE: To estimate the prevalence and patterns of use of PPMs and to measure the quality of PPM use. METHODS: Using a 5% random sample of 2007 Medicare claims data linked to the Minimum Data Set 2.0, this cross-sectional study identified a nationally representative sample of 69,832 NH residents with ≥3 months of institutionalization. This study measured 1-year prevalence and quality of PPM use, as assessed by indication, dose, and duration of use defined and operationalized according to the current Centers for Medicare and Medicaid Services Unnecessary Medication Guidance for Surveyors and relevant practice guidelines. RESULTS: Over two-thirds of residents (72.1%, n=50,349) used ≥1 PPM in 2007, with the highest prevalence seen in antidepressants (59.4%), and the lowest in anxiolytics (8.9%). Almost two-thirds (61.0%) of PPM users used ≥2 PPM classes. Compared to other PPM therapeutic classes, antipsychotic users had greatest evidence of guideline adequate use by indication (95.8%) and dose (78.7%). In addition, longer duration of adequate treatment was observed among antipsychotic users (mean = 208 days, standard deviation [SD] = 118) as compared to anxiolytic (mean = 159 days, SD = 118) and sedative-hypnotic users (mean = 183 days, SD = 117). CONCLUSIONS: This study found that PPM use remains highly prevalent among long-stay Medicare NH residents. While antipsychotic use remained high (31.5%), little antipsychotic use was deemed inadequate by indication. However, the 1-year prevalence of use, dose, and duration of use of other PPMs remain high and potentially inadequate. Practitioners and policy-makers should heed both the high use and lower prescribing quality of antidepressants, anxiolytics, and sedative-hypnotics in NH residents.

Associations of depression diagnosis and antidepressant treatment with mortality among young and disabled Medicare beneficiaries with COPD.

OBJECTIVE: Depression is prevalent in chronic obstructive pulmonary disease (COPD) patients and a risk factor for COPD exacerbation and death. The objective of this study was to determine the associations of depression diagnosis and antidepressant treatment with mortality among Social Security Disability Insurance (SSDI)-eligible (age <65 years who had permanent physical or mental disabilities) Medicare beneficiaries with COPD. METHOD: This retrospective cohort study used a 5% random sample of SSDI-eligible Medicare beneficiaries with COPD in stand-alone Part D plans during 2006-2008 (n=17,320). COPD and depression diagnoses were assessed during 2006. Evidence of antidepressant treatment was measured in 2006-2008. All-cause mortality was measured in 2007-2008. Cox proportional hazards models were used to examine the associations of depression diagnosis with mortality and, among depressed beneficiaries, antidepressant treatment (time dependent) with mortality after controlling for covariates. RESULTS: More than one third (37.3%) of SSDI-eligible beneficiaries with COPD had a baseline depression diagnosis; of those, 86.8% had evidence of antidepressant treatment. Baseline depression diagnosis was an independent risk factor for 2-year mortality [hazard ratio (HR)=1.21; 99% confidence interval (CI)=1.07-1.37]. Among depressed beneficiaries, receiving antidepressant treatment was associated with significantly lower mortality (HR=0.55; 99% CI=0.44-0.68). CONCLUSION: Proactive antidepressant treatment should be considered as an intervention to reduce mortality for this young and disabled Medicare population.

A novel approach to improve health status measurement in observational claims-based studies of cancer treatment and outcomes.

OBJECTIVES: To develop and provide initial validation for amultivariate, claims-based prediction model for disability status (DS), a proxymeasure of performance status (PS), among older adults. The model was designed to augment information on health status at the point of cancer diagnosis in studies using insurance claims to examine cancer treatment and outcomes. MATERIALS AND METHODS: We used data from the 2001­2005 Medicare Current Beneficiary Survey (MCBS), with observations randomly split into estimation and validation subsamples. We developed an algorithm linking self-reported functional status measures to a DS scale, a proxy for the Eastern Cooperative Oncology Group (ECOG) PS scale. The DS measure was dichotomized to focus on good [ECOG 0­2] versus poor [ECOG 3­4] PS. We identified potential claims-based predictors, and estimated multivariate logistic regression models, with poor DS as the dependent measure, using a stepwise approach to select the optimal model. Construct validity was tested by determining whether the predicted DS measure generated by the model was a significant predictor of survival within a validation sample from the MCBS. RESULTS AND CONCLUSION: One-tenth of the beneficiaries met the definition for poor DS. The base model yielded high sensitivity (0.79) and specificity (0.92); positive predictive value=48.3% and negative predictive value=97.8%, c-statistic=0.92 and good model calibration. Adjusted poor claims-based DS was associated with an increased hazard of death (HR=3.53, 95% CI 3.18, 3.92). The ability to assess DS should improve covariate control and reduce indication bias in observational studies of cancer treatment and outcomes based on insurance claims.

How Medicare Part D benefit phases affect adherence with evidence-based medications following acute myocardial infarction.

OBJECTIVE: Assess impact of Medicare Part D benefit phases on adherence with evidence-based medications after hospitalization for an acute myocardial infarction. DATA SOURCE: Random 5 percent sample of Medicare beneficiaries. STUDY DESIGN: Difference-in-difference analysis of drug adherence by AMI patients stratified by low-income subsidy (LIS) status and benefit phase. DATA COLLECTION/EXTRACTION METHODS: Subjects were identified with an AMI diagnosis in Medicare Part A files between April 2006 and December 2007 and followed until December 2008 or death (N = 8,900). Adherence was measured as percent of days covered (PDC) per month with four drug classes used in AMI treatment: angiotensin-converting enzyme (ACE) inhibitors/angiotensin II receptor blockers (ARBs), beta-blockers, statins, and clopidogrel. Monthly exposure to Part D benefit phases was calculated from flags on each Part D claim. PRINCIPAL FINDINGS: For non-LIS enrollees, transitioning from the initial coverage phase into the Part D coverage gap was associated with statistically significant reductions in mean PDC for all four drug classes: statins (-7.8 percent), clopidogrel (-7.0 percent), beta-blockers (-5.9 percent), and ACE inhibitor/ARBs (-5.1 percent). There were no significant changes in adherence associated with transitioning from the gap to the catastrophic coverage phase. CONCLUSIONS: As the Part D doughnut hole is gradually filled in by 2020, Medicare Part D enrollees with critical diseases such as AMI who rely heavily on brand name drugs are likely to exhibit modest increases in adherence. Those reliant on generic drugs are less likely to be affected.

Obesity status and colorectal cancer screening in the United States.

BACKGROUND: Findings from previous studies on an association between obesity and colorectal cancer (CRC) screening are inconsistent and very few studies have utilized national level databases in the United States (US). METHODS: A cross-sectional study was conducted using data from the 2005 Medicare Current Beneficiary Survey to describe CRC screening rate by obesity status. RESULTS: Of a 15,769 Medicare beneficiaries sample aged 50 years and older reflecting 39 million Medicare beneficiaries in the United States, 25% were classified as obese, consisting of 22.4% "obese" (30 ≤ body mass index (BMI) < 35) and 3.1% "morbidly obese" (BMI ≥ 35) beneficiaries. Almost 38% of the beneficiaries had a body mass index level equivalent to overweight (25 ≤ BMI < 30). Of the study population, 65.3% reported having CRC screening (fecal occult blood testing or colonoscopy). Medicare beneficiaries classified as "obese" had greater odds of CRC screening compared to "nonobese" beneficiaries after controlling for other covariates (ORadj = 1.25; 95% CI: 1.12-1.39). CONCLUSIONS: Findings indicate that obesity was not a barrier but rather an assisting factor to CRC screening among Medicare beneficiaries. Future studies are needed to evaluate physicians' ordering of screening tests compared to screening claims among Medicare beneficiaries to better understand patterns of patients' and doctors' adherence to national CRC screening guidelines.

Effects of depression diagnosis and antidepressant treatment on mortality in Medicare beneficiaries with chronic obstructive pulmonary disease.

OBJECTIVES: To estimate the effects of depression diagnosis and antidepressant treatment on 2-year all-cause mortality in Medicare beneficiaries with chronic obstructive pulmonary disease (COPD) and determine whether Social Security Disability Insurance (SSDI) eligibility modifies these relationships. DESIGN: Retrospective cohort study. SETTING: A 5% random sample of Medicare beneficiaries aged 65 and older in stand-alone Part D plans in 2006 to 2008. PARTICIPANTS: Beneficiaries diagnosed with COPD and continuously enrolled in Medicare Parts A, B, and D (N = 75,699). MEASUREMENTS: Depression diagnosis was assessed at baseline (2006). Evidence of antidepressant treatment was measured across time. Covariates included baseline characteristics, comorbidities, and disease severity. Survival analyses using Cox proportional hazards models estimated 2-year mortality associated with depression diagnosis or antidepressant treatment (in beneficiaries with depression). Interaction terms of SSDI eligibility with baseline depression and time-dependent antidepressant treatment were tested. RESULTS: More than one-fifth (21.6%) of beneficiaries with COPD had a depression diagnosis at baseline, and 82.1% of those received antidepressants. Nearly one-sixth (16.3%) of the sample were SSDI eligible. Baseline depression heightened risk of death (hazard ratio = 1.13, 95% confidence interval = 1.09-1.18) in beneficiaries who were not eligible for SSDI. In beneficiaries with depression, the association between antidepressant treatment and lower mortality was different according to SSDI eligibility status. CONCLUSION: Social Security Disability Insurance eligibility modifies the effects of depression and antidepressant treatment on mortality in Medicare beneficiaries with COPD. These data suggest that clinicians should identify and treat depression in individuals with COPD, but further studies are needed to determine the effect of these interventions.

Pharmacotherapeutic management of dementia across settings of care.

OBJECTIVES: To describe population-based use of cognitive-enhancing and psychopharmacological medications across care settings in Medicare beneficiaries with dementia. DESIGN: One-year (2008) cross-sectional study. SETTING: Medicare administrative claims from a 5% random sample. PARTICIPANTS: Medicare beneficiaries with dementia aged 65 and older with continuous Medicare Parts A, B, and D coverage and alive throughout 2008. To ascertain dementia, one or more medical claims with a dementia International Classification of Diseases, Ninth Revision, Clinical Modification code was required before 2008, and an additional claim was required in 2008 to confirm active disease. MEASUREMENTS: Use of medications commonly prescribed in managing dementia (cognitive enhancers, antidepressants, antipsychotics, and mood stabilizers) was assessed using three measures: annual prevalence of use, consistency of use, and count of psychopharmacological medication classes. Care setting was determined using the number of months of nursing home (NH) residency: no NH (0 months), partial NH (1-11 months), and full NH (12 months). RESULTS: Community-dwellers represented 41.3% of the cohort, whereas 42.4% and 16.3% resided partially and fully in a NH, respectively. Annual prevalence of use was 57.1% for cognitive enhancers, 56.4% for antidepressants, 34.0% for antipsychotics, and 8.8% for mood stabilizers. Cognitive enhancer use was significantly lower in those with any NH stay (partial NH vs no NH, adjusted prevalence ratio (APR) = 0.84, 99% confidence interval (CI) = 0.83-0.86; full NH vs no NH, APR = 0.83, 99% CI = 0.81-0.85). In contrast, those with any NH residence had significantly higher use of all psychopharmacological medication classes than community-dwellers. More than half the cohort had consistent medication regimens during 2008 (64.8%). The number of psychopharmacological medication classes used increased with increasing NH stay duration. CONCLUSION: This population-based study documents significant differences in medication use for managing dementia between care settings and substantial use of psychopharmacological medications in older adults with dementia.

Out-of-pocket health care expenditure burden for Medicare beneficiaries with cancer.

BACKGROUND: There is increasing concern regarding the financial burden of care on cancer patients and their families. Medicare beneficiaries often have extensive comorbidities and limited financial resources, and may face substantial cost sharing even with supplemental coverage. In the current study, the authors examined out-of-pocket (OOP) spending and burden relative to income for Medicare beneficiaries with cancer. METHODS: This retrospective, observational study pooled data for 1997 through 2007 from the Medicare Current Beneficiary Survey linked to Medicare claims. Medicare beneficiaries with newly diagnosed cancer were selected using claims-based diagnoses. Generalized linear models were used to estimate OOP spending. Logistic regression models identified factors associated with a high OOP burden, defined as spending > 20% of one's income during the cancer diagnosis and subsequent year. RESULTS: The cohort included 1868 beneficiaries with and 10,047 without cancer. Compared with the noncancer cohort, cancer patients were older, had more comorbidities, and were more likely to lack supplemental coverage. The mean OOP spending for cancer patients was $4727. Cancer patients faced an adjusted $976 (P < .01) incremental OOP spending. Greater than one-quarter (28%) of beneficiaries with cancer experienced a high OOP burden compared with 16% of beneficiaries without cancer (P < .001). Supplemental insurance and higher income were found to be protective against a high OOP burden, whereas assets, comorbidity, and receipt of cancer-directed radiation and antineoplastic therapy were associated with a higher OOP burden. CONCLUSIONS: Medicare beneficiaries with cancer face a higher OOP burden than their counterparts without cancer; some of the higher burden was explained by the higher comorbidity burden and lack of supplemental insurance noted among these patients. Financial pressures may discourage some elderly patients from pursuing treatment.