Epilepsy Among Elderly Medicare Beneficiaries: A Validated Approach to Identify Prevalent and Incident Epilepsy.
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ABSTRACT:
SUBMITTER: Moura LMVR
PROVIDER: S-EPMC6417929 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
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Project description:Background: Incident cancer diagnosis may increase the risk of coronary artery disease (CAD)-related hospitalizations, especially in older individuals. Adherence to statins and/or angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin II receptor blockers (ARBs)/β-blockers reduces CAD-related hospitalizations. This study examined the relationship between medication adherence and CAD-related hospitalizations immediately following cancer diagnosis. Patients and Methods: A retrospective observational longitudinal study was conducted using SEER-Medicare data. Elderly Medicare fee-for-service beneficiaries with preexisting CAD and incident breast, colorectal, or prostate cancer (N=12,096) were observed for 12 months before and after cancer diagnosis. Hospitalizations measured every 120 days were categorized into CAD-related hospitalization, other hospitalization, and no hospitalization. Medication adherence was categorized into 5 mutually exclusive groups: adherent to both statins and ACEIs/ARBs/β-blockers (reference group), not adherent to both statins and ACEIs/ARBs/β-blockers, adherent to either statins or ACEIs/ARBs/β-blockers, use of one medication class and adherent to that class, and use of one medication class and not adherent to that class. The relationship between medication adherence and hospitalization was analyzed using repeated measures multinomial logistic regressions. Inverse probability treatment weights were used to control for observed group differences among medication adherence categories. Results: Adherence to both statins and ACEIs/ARBs/β-blockers was estimated at 31.2% during the 120-day period immediately following cancer diagnosis; 13.7% were not adherent to both medication classes during the same period, and 27.4% had CAD-related hospitalizations immediately after cancer diagnosis, which declined to 10.6% during the last 4 months of the postdiagnosis period. In the adjusted analyses, those not adherent to both statins and ACEIs/ARBs/β-blockers were more likely to have CAD-related hospitalization compared with those adherent to both medication classes (adjusted odds ratio, 1.82; 95% CI, 1.72-1.92; P<.0001). Conclusions: Given the complexity of interaction between CAD and cancer, it is important to routinely monitor medication adherence in general clinical practice and to provide linkages to support services that can increase medication adherence.
| S-EPMC5844702 | biostudies-literature
Project description:OBJECTIVES:The purpose of this study was to analyze the impact of cancer diagnosis on noncancer hospitalizations (NCHs) by comparing these hospitalizations between the precancer and postcancer periods in a cohort of fee-for-service Medicare beneficiaries with incident prostate cancer. METHODS:A population-based retrospective cohort study was conducted using the SEER-Medicare linked database for 2000 through 2010. The study cohort consisted of 57,489 elderly men (aged ? 67 years) with incident prostate cancer. NCHs were identified in 6 periods (t1-t6) before and after the incidence of prostate cancer. Each period consisted of 120 days. For each period, NCHs were defined as inpatient admissions with primary diagnosis codes not related to prostate cancer, prostate cancer-related procedures, or bowel, sexual, and urinary dysfunction. Bivariate and multivariate comparisons on rates of NCHs between the precancer and postcancer periods accounted for the repeated measures design. RESULTS:The rate of NCHs was higher during the postcancer period (5.1%) compared with the precancer period (3.2%). In both unadjusted and adjusted models, elderly men were 37% (odds ratio [OR], 1.37; 95% CI, 1.32, 1.41) and 38% (adjusted OR, 1.38; 95% CI, 1.33, 1.46) more likely to have any NCHs during the postcancer period compared with the precancer period. CONCLUSIONS:Elderly men with prostate cancer had a significant increase in the risk of NCHs after the diagnosis of prostate cancer. This study highlights the need to design interventions for reducing the excess NCHs after prostate cancer diagnosis among elderly men.
| S-EPMC4837465 | biostudies-literature
Project description:ObjectiveWe assessed how Medicaid enrollment and race influence cancer incidence among patients age 65 years and older. DATA SOURCES AND METHOD: Population-based Michigan Tumor Registry was merged with Medicaid eligibility files for 1996 through 2000. All analyses were age-adjusted and gender-specific. We compared cancer incidence in the elderly Medicaid population to the cancer incidence in the Medicare population. We then examined cancer incidence in patients continuously enrolled in Medicaid 12 or more months relative to the incidence in the Medicare population.Principal findingsWhen comparing cancer incidence in Medicaid patients without regard to enrollment before diagnosis, the incidence rates of prostate cancer in black men and colorectal cancer in black women were statistically higher relative to the incidence rates in white patients. The overall cancer incidence rate for all cancers combined was statistically significantly higher for black women and men compared with white women and men (incidence rate ratio=1.18 and 1.48, 95 percent confidence interval 1.05-1.32 and 1.28-1.71, respectively). In dually eligible patients enrolled 12 or more months before diagnosis, an excess cancer incident was observed for black patients relative to white patients in every cancer site examined with the exception of lung cancer.ConclusionsMedicaid data in addition to Medicare data revealed patterns of cancer incidence that varied according to Medicaid enrollment and race. These findings suggest that the cancer burden among African Americans and dually eligible patients is substantial.
| S-EPMC2653885 | biostudies-literature
Project description:BACKGROUND:Elderly individuals (age >65 years) with cancer are at high risk for newly diagnosed depression after a cancer diagnosis. It is not known whether the risk of newly diagnosed depression varies by cancer type. PURPOSE:To examine the variations in the risk of newly diagnosed depression by cancer type among elderly individuals with cancer. METHODS:This study used a retrospective cohort study design and data from the linked SEER-Medicare files. Elderly individuals (age >65 years) with incident breast, colorectal (CRC), and prostate cancers diagnosed between 2007 and 2011 (N=53,821) were followed for 12 months after cancer diagnosis. Depression diagnosis was identified during the 12-month follow-up period after cancer diagnosis using the ICD-9-Clinical Modification. Complementary log-log regression was used to examine the association between cancer type and risk of newly diagnosed depression after adjusting for other risk factors for depression. RESULTS:We found a significantly higher percentage of newly diagnosed depression among women with CRC compared with those with breast cancer (5.8% vs 3.9%), and among men with CRC compared with those with prostate cancer (3.4% vs 1.6%). In the adjusted analysis, women with CRC had a 28.0% higher risk of newly diagnosed depression compared with women with breast cancer (adjusted risk ratio [ARR], 1.28; 95% CI, 1.12-1.46) and men with CRC had a 104.0% higher risk of newly diagnosed depression compared with those with prostate cancer (ARR, 2.04; 95% CI, 1.65-2.51). CONCLUSIONS:Our findings identified cancer types associated with a high risk of newly diagnosed depression after cancer diagnosis, who might benefit from routine depression screening to help in its early detection and treatment.
| S-EPMC5527325 | biostudies-literature
Project description:To estimate the effect of pre-intensive care unit (ICU) health categories on mortality during and after critical illness, focusing specifically on the effect of pre-ICU frailty on short- and long-term mortality.Retrospective cohort study.Medicare claims data from 2004 to 2008.A nationally representative sample of elderly Medicare beneficiaries admitted to an ICU in 2005.Participants were classified into four pre-ICU health categories (robust, cancer, chronic organ failure, frailty) using claims data from the year before admission, allowing for assignment to multiple categories. The association between pre-ICU health category and hospital and 3-year mortality was assessed using multivariable logistic regression and Cox proportional hazards models.Of 47,427 elderly individuals in the ICU, 18.8% were robust, 28.6% had cancer, 68.1% had chronic organ failure, and 34.0% were frail; 41.3% qualified for multiple categories. Overall hospital mortality was 12.6%, with the lowest mortality for robust participants (9.7%). Participants with pre-ICU frailty had higher hospital mortality than those with the same pre-ICU health categories without frailty. (Adjusted odds ratios ranged from 1.27 (95% confidence interval (CI) 1.10-1.47) to 1.52 (95% CI = 1.35-1.63).) Robust hospital survivors had the lowest 3-year mortality (24.6%). Pre-ICU frailty conferred higher 3-year mortality than pre-ICU categories without frailty. (Adjusted hazard ratios ranged from 1.54 (95% CI = 1.45-1.64) to 1.84 (95% CI = 1.70-1.99).)Critically ill elderly adults can be categorized according to pre-ICU health categories. These categories, particularly pre-ICU frailty, may be important for understanding risk of death during and after critical illness.
| S-EPMC4752202 | biostudies-other
Project description:ObjectiveTo determine the prevalence and incidence of epilepsy among U.S. Medicare beneficiaries aged 65 years old and over, and to compare rates across demographic groups.MethodsWe performed a retrospective analysis of Medicare administrative claims for 2001-2005, defining prevalent cases as persons with ≥1 claim with diagnosis code 345.xx (epilepsy) or 2 or more with diagnosis code 780.3x (convulsion) ≥1 month apart, and incident cases as prevalent cases with 2 years immediately before diagnosis without such claims. Prevalence and incidence rates were calculated for the years 2003-2005 using denominators estimated from a 5% random sample of Medicare beneficiaries. Results were correlated with gender, age, and race.ResultsWe identified 282,661 per year on average during 2001-2005 (a total of 704,243 unique cases overall), and 62,182 incident cases per year on average during 2003-2005. Average annual prevalence and incidence rates were 10.8/1,000 and 2.4/1,000. Overall, rates were higher for black beneficiaries (prevalence 18.7/1,000, incidence 4.1/1,000), and lower for Asians (5.5/1,000, 1.6/1,000) and Native Americans (7.7/1,000, 1.1/1,000) than for white beneficiaries (10.2/1,000, 2.3/1,000). Incidence rates were slightly higher for women than for men, and increased with age for all gender and race groups.ConclusionsEpilepsy is a significant public health problem among Medicare beneficiaries. Efforts are necessary to target groups at higher risk, such as minorities or the very old, and to provide the care necessary to reduce the negative effects of epilepsy on quality of life.
| S-EPMC3280050 | biostudies-literature
Project description:ObjectivesTo examine patient, community, and insurance plan predictors of high-risk prescribing in the elderly Medicare Advantage population.Study designCohort study.MethodsUsing a sample of 203 Medicare Advantage plans from the 2006-2008 Health Outcomes Survey, we compared patient, community, and insurance plan characteristics of 77,247 respondents with and without new Medicare Part D claims for high-risk medications from June 2006 to May 2007.ResultsOf the Medicare Advantage enrollee respondents, 15.6% received a new prescription for a high-risk medication during 12 months of follow-up. In adjusted analyses, new users of high-risk medications were more likely to be women (OR = 1.35; 95% CI,1.28-1.42), and they reported poorer general health (Physical Component Summary score 37.3 vs 40.4, P <.05) than did individuals who never received a high-risk prescription. Being aged ≥ 85 years was protective against receipt of a high-risk medication (OR relative to persons aged 65-69 years = 0.69; 95% CI, 0.64-0.75). Incidence of high-risk prescribing varied by census division, with a 2-fold difference between regions with the lowest and highest rates (9% in New England vs 18% in the West South Central region). Muscle relaxants, antihistamines, and opiates accounted for over 71% of new dispensing of high-risk medications. Approximately 67% of new users of high-risk medications received only 1 dispensing.ConclusionsHigh-risk prescribing varies widely by geography and drug class in the Medicare Advantage population. Women, persons with poorer self-reported health, and those residing in the Southern regions of the United States more frequently receive high-risk medications. Variations may highlight areas for targeted interventions to reduce high-risk prescribing to the elderly.
| S-EPMC5402891 | biostudies-literature
Project description:ObjectiveThere have been no validated Medicare claims-based algorithms available to identify epilepsy by discrete etiology of stroke (e.g., post-stroke epilepsy, PSE) in community-dwelling elderly individuals, despite the increasing availability of large datasets. Our objective was to validate algorithms that detect which patients have true PSE.MethodsWe linked electronic health records (EHR) to Medicare claims from a Medicare Pioneer Accountable Care Organization (ACO) to identify PSE. A neurologist reviewed 01/2012-12/2014 EHR data from a stratified sample of Medicare patients aged 65+ years to adjudicate a reference-standard to develop an algorithm for identifying patients with PSE. Patient sampling strata included those with: A) epilepsy-related claims diagnosis (n = 534 [all]); B) no diagnosis but neurologist visit (n = 500 [randomly sampled from 4346]); C) all others (n = 500 [randomly sampled from 16,065]). We reconstructed the full sample using inverse probability sampling weights; then used half to derive algorithms and assess performance, and the remainder to confirm performance. We evaluated predictive performance across several measures, e.g., specificity, sensitivity, negative and positive predictive values (NPV, PPV). We selected our best performing algorithms based on the greatest specificity and sensitivity.ResultsOf 20,943 patients in the reconstructed sample, 13.6% of patients with epilepsy had reference-standard PSE diagnosis, which represents a 3-year overall prevalence of 0.28% or 28/10,000, and a prevalence within the subpopulation with stroke of 3%. The best algorithm included three conditions: (a) at least one cerebrovascular claim AND one epilepsy-specific anticonvulsant OR (b) at least one cerebrovascular claim AND one electroencephalography claim (specificity 100.0% [95% CI 99.9%-100.0%], NPV 98.8% [98.6%-99.0%], sensitivity 20.6% [95% CI 14.6%-27.9%], PPV 86.5% [95% CI 71.2%-95.5%]).ConclusionMedicare claims can identify elderly Medicare beneficiaries with PSE with high accuracy. Future epidemiological surveillance of epilepsy could incorporate similar algorithms to accurately identify epilepsy by varying etiologies.
| S-EPMC6640134 | biostudies-literature
Project description:ImportanceA large and growing population of older adults with multimorbidity, cognitive impairment, and functional disability live in the community, but many never or rarely leave their homes. Being homebound is associated with decreased access to medical services, poor health outcomes, and increased mortality. Yet, it is unknown what factors, in particular socioeconomic factors, are associated with new onset of homebound status.ObjectiveTo evaluate the association between income and risk of becoming homebound.DesignObservational cohort study using 2011 to 2018 data from the National Health and Aging Trends Study, a nationally representative sample of Medicare beneficiaries aged 65 years and older.SettingPopulation-based study in the United States.ParticipantsA total of 7,042 initially nonhomebound community-dwelling older adults.ExposureTotal annual household income at baseline (in 2011) measured via self-report.OutcomeAnnual measure of homebound status, defined as leaving home an average of 1 d/wk or less.ResultsOver 7 years, 15.81% of older adults in the lowest income quartile (≤$15,003) became homebound, compared with only 4.64% of those in the highest income quartile (>$60,000). In a competing risks analysis accounting for risks of death and nursing home admission, and adjusted for clinical and demographic characteristics, those in the lowest income quartile had a substantially higher subhazard of becoming homebound than those in the highest income quartile (1.65; 95% confidence interval = 1.20-2.29). Moreover, we see evidence of a gradient in risk of homebound status by income quartile.Conclusion and relevanceOur work demonstrates that financial resources shape the risk of becoming homebound, which is associated with negative health consequences. In the context of existing income disparities, more support is needed to assist older adults with limited financial resources who wish to remain in the community.
| S-EPMC7722026 | biostudies-literature
Project description:ImportanceDespite advances in treatment and care quality for patients hospitalized with heart failure (HF), minimal improvement in mortality has been observed after HF hospitalization since 2010.ObjectiveTo evaluate trends in mortality rates across specific intervals after hospitalization.Design, setting, and participantsThis cohort study evaluated a random sample of Medicare fee-for-service beneficiaries with incident HF hospitalization from January 1, 2008, to December 31, 2018. Data were analyzed from February 2023 to May 2024.Main outcomes and measuresUnadjusted mortality rates were calculated by dividing the number of all-cause deaths by the number of patients with incident HF hospitalization for the following periods: in-hospital, 30 days (0-30 days after hospital discharge), short term (31 days to 1 year after discharge), intermediate term (1-2 years after discharge), and long term (2-3 years after discharge). Each period was considered separately (ie, patients who died during one period were not counted in subsequent periods). Annual unadjusted and risk-adjusted mortality ratios were calculated (using logistic regression to account for differences in patient characteristics), defined as observed mortality divided by expected mortality based on 2008 rates.ResultsA total of 1 256 041 patients (mean [SD] age, 83.0 [7.6] years; 56.0% female; 86.0% White) were hospitalized with incident HF. There was a substantial decrease in the mortality ratio for the in-hospital period (unadjusted ratio, 0.77; 95% CI, 0.67-0.77; risk-adjusted ratio, 0.74; 95% CI, 0.71-0.76). For subsequent periods, mortality ratios increased through 2013 and then decreased through 2018, resulting in no reductions in unadjusted postdischarge mortality during the full study period (30-day mortality ratio, 0.94; 95% CI, 0.82-1.06; short-term mortality ratio, 1.02; 95% CI, 0.87-1.17; intermediate-term mortality ratio, 0.99; 95% CI, 0.79-1.19; and long-term mortality ratio, 0.96; 95% CI, 0.76-1.16) and small reductions in risk-adjusted postdischarge mortality during the full study period (30-day mortality ratio, 0.88; 95% CI, 0.86-0.90; short-term mortality ratio, 0.94; 95% CI, 0.94-0.95; intermediate-term mortality ratio, 0.94; 95% CI, 0.92-0.95; and long-term mortality ratio, 0.95; 95% CI, 0.93-0.96).Conclusions and relevanceIn this study of Medicare fee-for-service beneficiaries, there was a substantial decrease in in-hospital mortality for patients hospitalized with incident HF from 2008 to 2018, but little to no reduction in mortality for subsequent periods up to 3 years after hospitalization. These results suggest opportunities to improve longitudinal outpatient care for patients with HF after hospital discharge.
| S-EPMC11333983 | biostudies-literature