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Kramer M, Cutty M, Knox S, Alekseyenko AV, Mollalo A. Rural-urban disparities of Alzheimer's disease and related dementias: A scoping review. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2025; 11:e70047. [PMID: 39935615 PMCID: PMC11811960 DOI: 10.1002/trc2.70047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Revised: 12/16/2024] [Accepted: 01/03/2025] [Indexed: 02/13/2025]
Abstract
The rising age of the global population has made Alzheimer's disease and related dementias (ADRD) a critical public health problem, with significant health-related disparities observed between rural and urban areas. However, no previous reviews have examined the scope and determinant factors contributing to rural-urban disparities of ADRD-related health outcomes. This study aims to systematically collate and synthesize peer-reviewed articles on rural-urban disparities in ADRD, identifying key determinants and research gaps to guide future research. We conducted a systematic search using key terms related to rural-urban disparities and ADRD without restrictions on geography or study design. Five search engines-MEDLINE, CINAHL, Web of Science, PubMed, and Scopus-were used to identify relevant articles. The search was performed on August 16, 2024, and included English-language articles published from 2000 onward. Sixty-three articles met the eligibility criteria for data extraction and synthesis. Most articles were published after 2010 (85.7%) and were concentrated in the United States, China, and Canada (66.7%). A majority had cross-sectional (58.7%) or cohort study designs (23.8%), primarily examining prevalence (41.3%) or incidence (11.1%). Findings often indicated a higher prevalence and incidence in rural areas, although inconsistent rural-urban classification systems were noted. Common risk factors included female sex, lower education level, lower income, and comorbidities such as diabetes and cerebrovascular diseases. Environmental (12.7%) and lifestyle (14.3%) factors for ADRD have been less explored. The statistical methods used were mainly traditional analyses (e.g., logistic regression) and lacked advanced techniques such as machine learning or causal inference methods. The gaps identified in this review emphasize the need for future research in underexplored geographic regions and encourage the use of advanced methods to investigate understudied factors contributing to ADRD disparities, such as environmental, lifestyle, and genetic influences. Highlights Few studies on rural-urban ADRD disparities focus on low- and middle-income countries.Common risk factors include female sex, low education attainment, low income, and comorbidities.Inconsistent definitions of "rural" complicate cross-country comparisons.Environmental and lifestyle factors affecting ADRD are underexplored.Advanced statistical methods, such as machine learning and causal inference, are recommended.
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Affiliation(s)
| | - Maxwell Cutty
- Department of Health Sciences and ResearchMedical University of South CarolinaCharlestonSouth CarolinaUSA
| | - Sara Knox
- Department of Health Sciences and ResearchMedical University of South CarolinaCharlestonSouth CarolinaUSA
| | - Alexander V. Alekseyenko
- Biomedical Informatics Center, Department of Public Health SciencesMedical University of South CarolinaCharlestonSouth CarolinaUSA
| | - Abolfazl Mollalo
- Biomedical Informatics Center, Department of Public Health SciencesMedical University of South CarolinaCharlestonSouth CarolinaUSA
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Saczynski JS, Koethe B, Fick DM, Vo QT, Devlin JW, Marcantonio ER, Briesacher BA. Cognitive and functional change in skilled nursing facilities: Differences by delirium and Alzheimer's disease and related dementias. J Am Geriatr Soc 2024; 72:3501-3509. [PMID: 39171670 DOI: 10.1111/jgs.19112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 06/17/2024] [Accepted: 07/04/2024] [Indexed: 08/23/2024]
Abstract
BACKGROUND Whether cognitive and functional recovery in skilled nursing facilities (SNF) following hospitalization differs by delirium and Alzheimer's disease related dementias (ADRD) has not been examined. OBJECTIVE To compare change in cognition and function among short-stay SNF patients with delirium, ADRD, or both. DESIGN Retrospective cohort study using claims data from 2011 to 2013. SETTING Centers for Medicare and Medicaid certified SNFs. PARTICIPANTS A total of 740,838 older adults newly admitted to a short-stay SNF without prevalent ADRD who had at least two assessments of cognition and function. MEASUREMENTS Incident delirium was measured by the Minimum Data Set (MDS) Confusion Assessment Method and ICD-9 codes, and incident ADRD by ICD-9 codes and MDS diagnoses. Cognitive improvement was a better or maximum score on the MDS Brief Interview for Mental Status, and functional recovery was a better or maximum score on the MDS Activities of Daily Living Scale. RESULTS Within 30 days of SNF admission, the rate of cognitive improvement in patients with both delirium/ADRD was half that of patients with neither delirium/ADRD (HR = 0.45, 95% CI:0.43, 0.46). The ADRD-only and delirium-only groups also were 43% less likely to have improved cognition or function compared to those with neither delirium/ADRD (HR = 0.57, 95% CI:0.56, 0.58 and HR = 0.57, 95% CI:0.55, 0.60, respectively). Functional improvement was less likely in patients with both delirium/ADRD, as well (HR = 0.85, 95% CI:0.83, 0.87). The ADRD only and delirium only groups were also less likely to improve in function (HR = 0.93, 95% CI:0.92, 0.94 and HR = 0.92, 95% CI:0.90, 0.93, respectively) compared to those with neither delirium/ADRD. CONCLUSIONS Among older adults without dementia admitted to SNF for post-acute care following hospitalization, a positive screen for delirium and a new diagnosis of ADRD, within 7 days of SNF admission, were both significantly associated with worse cognitive and functional recovery. Patients with both delirium and new ADRD had the worst cognitive and functional recovery.
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Affiliation(s)
- Jane S Saczynski
- Bouvé College of Health Sciences, School of Pharmacy, Northeastern University, Boston, Massachusetts, USA
| | - Benjamin Koethe
- Bouvé College of Health Sciences, School of Pharmacy, Northeastern University, Boston, Massachusetts, USA
| | - Donna Marie Fick
- Center of Geriatric Nursing Excellence, Penn State College of Nursing, University Park, Pennsylvania, USA
| | - Quynh T Vo
- Department of Public Health and Health Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, Massachusetts, USA
| | - John W Devlin
- Bouvé College of Health Sciences, School of Pharmacy, Northeastern University, Boston, Massachusetts, USA
| | - Edward R Marcantonio
- Divisions of General Medicine and Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Becky A Briesacher
- Bouvé College of Health Sciences, School of Pharmacy, Northeastern University, Boston, Massachusetts, USA
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Lin P, Kamdar N, Rodriguez GM, Cigolle C, Tate D, Mahmoudi E. Incident traumatic spinal cord injury and risk of Alzheimer's disease and related dementia: longitudinal case and control cohort study. Spinal Cord 2024; 62:479-485. [PMID: 38937544 DOI: 10.1038/s41393-024-01009-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 06/04/2024] [Accepted: 06/11/2024] [Indexed: 06/29/2024]
Abstract
STUDY DESIGN Retrospective case/control longitudinal cohort study OBJECTIVES: Prevalent traumatic spinal cord injury (TSCI) is associated with Alzheimer's disease and related dementia (ADRD). We examined the hazard ratio for ADRD after incident TSCI and hypothesized that ADRD hazard is greater among adults with incident TSCI compared with their matched control of adults without TSCI. SETTING Using 2010-2020 U.S. national private administrative claims data, we identified adults aged 45 years and older with probable (likely and highly likely) incident TSCI (n = 657). Our controls included one-to-ten matched cohort of people without TSCI (n = 6553). METHODS We applied Cox survival models and adjusted them for age, sex, years of living with certain chronic conditions, exposure to six classes of prescribed medications, and neighborhood characteristics of place of residence. Hazard ratios were used to compare the results within a 4-year follow-up. RESULTS Our fully adjusted model without any interaction showed that incident TSCI increased the risk for ADRD (HR = 1.30; 95% CI, 1.01-1.67). People aged 45-64 with incident TSCI were at high risk for ADRD (HR = 5.14; 95% CI, 2.27-11.67) and no significant risk after age 65 (HR = 1.20; 95% CI, .92-1.55). Our sensitivity analyses confirmed a higher hazard ratio for ADRD after incident TSCI at 45-64 years of age compared with the matched controls. CONCLUSIONS TSCI is associated with a higher hazard of ADRD. This study informs the need to update clinical guidelines for cognitive screening after TSCI to address the heightened risk of cognitive decline and to shed light on the causality between TSCI and ADRD.
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Affiliation(s)
- Paul Lin
- Department of Family Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Neil Kamdar
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Gianna M Rodriguez
- Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Christine Cigolle
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Denise Tate
- Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Elham Mahmoudi
- Department of Family Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
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Chen Y, Power MC, Grodstein F, Capuano AW, Lange‐Maia BS, Moghtaderi A, Stapp EK, Bhattacharyya J, Shah RC, Barnes LL, Marquez DX, Bennett DA, James BD. Correlates of missed or late versus timely diagnosis of dementia in healthcare settings. Alzheimers Dement 2024; 20:5551-5560. [PMID: 38934297 PMCID: PMC11350028 DOI: 10.1002/alz.14067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 05/16/2024] [Accepted: 05/20/2024] [Indexed: 06/28/2024]
Abstract
INTRODUCTION There is limited evidence about factors related to the timeliness of dementia diagnosis in healthcare settings. METHODS In five prospective cohorts at Rush Alzheimer's Disease Center, we identified participants with incident dementia based on annual assessments and examined the timing of healthcare diagnoses in Medicare claims. We assessed sociodemographic, health, and psychosocial correlates of timely diagnosis. RESULTS Of 710 participants, 385 (or 54%) received a timely claims diagnosis within 3 years prior to or 1 year following dementia onset. In logistic regressions accounting for demographics, we found Black participants (odds ratio [OR] = 2.15, 95% confidence interval [CI]: 1.21 to 3.82) and those with better cognition at dementia onset (OR = 1.48, 95% CI: 1.10 to 1.98) were at higher odds of experiencing a diagnostic delay, whereas participants with higher income (OR = 0.89, 95% CI: 0.81 to 0.97) and more comorbidities (OR = 0.94, 95% CI: 0.89 to 0.98) had lower odds. DISCUSSION We identified characteristics of individuals who may miss the optimal window for dementia treatment and support. HIGHLIGHTS We compared the timing of healthcare diagnosis relative to the timing of incident dementia based on rigorous annual evaluation. Older Black adults with lower income, higher cognitive function, and fewer comorbidities were less likely to be diagnosed in a timely manner by the healthcare system.
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Affiliation(s)
- Yi Chen
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - Melinda C. Power
- Department of EpidemiologyGeorge Washington UniversityWashington, DCUSA
| | - Francine Grodstein
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
- Department of Internal MedicineRush University Medical CenterChicagoIllinoisUSA
| | - Ana W. Capuano
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
| | - Brittney S. Lange‐Maia
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
- Department of Family and Preventive MedicineRush University Medical CenterChicagoIllinoisUSA
| | - Ali Moghtaderi
- Department of Health Policy and ManagementGeorge Washington UniversityWashington, DCUSA
| | - Emma K. Stapp
- Department of EpidemiologyGeorge Washington UniversityWashington, DCUSA
| | | | - Raj C. Shah
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
- Department of Family and Preventive MedicineRush University Medical CenterChicagoIllinoisUSA
| | - Lisa L. Barnes
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
- Department of Psychiatry and Behavioral SciencesRush University Medical CenterChicagoIllinoisUSA
| | - David X. Marquez
- Department of Kinesiology and NutritionUniversity of Illinois ChicagoChicagoIllinoisUSA
| | - David A. Bennett
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
| | - Bryan D. James
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
- Department of Internal MedicineRush University Medical CenterChicagoIllinoisUSA
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Xu Y, Phu J, Aung HL, Hesam-Shariati N, Keay L, Tully PJ, Booth A, Anderson CS, Anstey KJ, Peters R. Frequency of coexistent eye diseases and cognitive impairment or dementia: a systematic review and meta-analysis. Eye (Lond) 2023; 37:3128-3136. [PMID: 36922645 PMCID: PMC10564749 DOI: 10.1038/s41433-023-02481-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 01/20/2023] [Accepted: 02/28/2023] [Indexed: 03/18/2023] Open
Abstract
OBJECTIVE We aim to quantify the co-existence of age-related macular degeneration (AMD), glaucoma, or diabetic retinopathy (DR) and cognitive impairment or dementia. METHOD MEDLINE, EMBASE, PsycINFO and CINAHL were searched (to June 2020). Observational studies reporting incidence or prevalence of AMD, glaucoma, or DR in people with cognitive impairment or dementia, and of cognitive impairment or dementia among people with AMD, glaucoma, or DR were included. RESULTS Fifty-six studies (57 reports) were included but marked by heterogeneities in the diagnostic criteria or definitions of the diseases, study design, and case mix. Few studies reported on the incidence. Evidence was sparse but consistent in individuals with mild cognitive impairment where 7.7% glaucoma prevalence was observed. Prevalence of AMD and DR among people with cognitive impairment ranged from 3.9% to 9.4% and from 11.4% to 70.1%, respectively. Prevalence of AMD and glaucoma among people with dementia ranged from 1.4 to 53% and from 0.2% to 25.9%, respectively. Prevalence of DR among people with dementia was 11%. Prevalence of cognitive impairment in people with AMD, glaucoma, and DR ranged from 8.4% to 52.4%, 12.3% to 90.2%, and 3.9% to 77.8%, respectively, and prevalence of dementia in people with AMD, glaucoma and DR ranged from 9.9% to 62.6%, 2.5% to 3.3% and was 12.5%, respectively. CONCLUSIONS Frequency of comorbid eye disease and cognitive impairment or dementia varied considerably. While more population-based estimations of the co-existence are needed, interdisciplinary collaboration might be helpful in the management of these conditions to meet healthcare needs of an ageing population. TRIAL REGISTRATION PROSPERO registration: CRD42020189484.
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Affiliation(s)
- Ying Xu
- Neuroscience Research Australia, Sydney, NSW, Australia.
- School of Psychology, Faculty of Science, UNSW, Sydney, NSW, Australia.
- The George Institute for Global Health, Faculty of Medicine, UNSW, Sydney, NSW, Australia.
- Faculty of Medicine, UNSW, Sydney, NSW, Australia.
- Ageing Futures Institute, UNSW, Sydney, NSW, Australia.
| | - Jack Phu
- Centre for Eye Health, UNSW, Sydney, NSW, Australia
- School of Optometry and Vision Science, UNSW, Sydney, NSW, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Concord Clinical School, Concord Repatriation General Hospital, Sydney, NSW, Australia
| | - Htein Linn Aung
- Neuroscience Research Australia, Sydney, NSW, Australia
- Faculty of Medicine, UNSW, Sydney, NSW, Australia
| | - Negin Hesam-Shariati
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Psychology, Faculty of Science, UNSW, Sydney, NSW, Australia
| | - Lisa Keay
- The George Institute for Global Health, Faculty of Medicine, UNSW, Sydney, NSW, Australia
- Ageing Futures Institute, UNSW, Sydney, NSW, Australia
- School of Optometry and Vision Science, UNSW, Sydney, NSW, Australia
| | - Phillip J Tully
- School of Psychology, The University of New England, Armidale, NSW, Australia
| | - Andrew Booth
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Craig S Anderson
- The George Institute for Global Health, Faculty of Medicine, UNSW, Sydney, NSW, Australia
- Faculty of Medicine, UNSW, Sydney, NSW, Australia
- The George Institute for Global Health, Beijing, P.R. China
- Neurology Department, Royal Prince Alfred Hospital, Sydney Local Area Health District, Sydney, NSW, Australia
| | - Kaarin J Anstey
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Psychology, Faculty of Science, UNSW, Sydney, NSW, Australia
- Ageing Futures Institute, UNSW, Sydney, NSW, Australia
| | - Ruth Peters
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Psychology, Faculty of Science, UNSW, Sydney, NSW, Australia
- The George Institute for Global Health, Faculty of Medicine, UNSW, Sydney, NSW, Australia
- Faculty of Medicine, UNSW, Sydney, NSW, Australia
- Ageing Futures Institute, UNSW, Sydney, NSW, Australia
- School of Public Health, Imperial College London, London, UK
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Li Q, Yang X, Xu J, Guo Y, He X, Hu H, Lyu T, Marra D, Miller A, Smith G, DeKosky S, Boyce RD, Schliep K, Shenkman E, Maraganore D, Wu Y, Bian J. Early prediction of Alzheimer's disease and related dementias using real-world electronic health records. Alzheimers Dement 2023; 19:3506-3518. [PMID: 36815661 PMCID: PMC10976442 DOI: 10.1002/alz.12967] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 12/31/2022] [Accepted: 01/05/2023] [Indexed: 02/24/2023]
Abstract
INTRODUCTION This study aims to explore machine learning (ML) methods for early prediction of Alzheimer's disease (AD) and related dementias (ADRD) using the real-world electronic health records (EHRs). METHODS A total of 23,835 ADRD and 1,038,643 control patients were identified from the OneFlorida+ Research Consortium. Two ML methods were used to develop the prediction models. Both knowledge-driven and data-driven approaches were explored. Four computable phenotyping algorithms were tested. RESULTS The gradient boosting tree (GBT) models trained with the data-driven approach achieved the best area under the curve (AUC) scores of 0.939, 0.906, 0.884, and 0.854 for early prediction of ADRD 0, 1, 3, or 5 years before diagnosis, respectively. A number of important clinical and sociodemographic factors were identified. DISCUSSION We tested various settings and showed the predictive ability of using ML approaches for early prediction of ADRD with EHRs. The models can help identify high-risk individuals for early informed preventive or prognostic clinical decisions.
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Affiliation(s)
- Qian Li
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Xi Yang
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Jie Xu
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Yi Guo
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Xing He
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Hui Hu
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Tianchen Lyu
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - David Marra
- Department of Psychology, VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Amber Miller
- Department of Neurology, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Glenn Smith
- Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA
| | - Steven DeKosky
- Department of Neurology, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Richard D. Boyce
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Karen Schliep
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Elizabeth Shenkman
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Demetrius Maraganore
- Department of Neurology, School of Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Yonghui Wu
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
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Khalid S, Innes K, Umer A, Lilly C, Gross D, Sambamoorthi U. Assessment of Joint and Interactive Effects of Multimorbidity and Chronic Pain on ADRD Risk in the Elder Population. RESEARCH SQUARE 2023:rs.3.rs-2743755. [PMID: 37090532 PMCID: PMC10120756 DOI: 10.21203/rs.3.rs-2743755/v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Objective Multimorbidity and non-cancer chronic pain conditions (NCPC) are independently linked to elevated risk for cognitive impairment and incident Alzheimer's Disease and Related Dementias (ADRD)-both - We present the study of potential joint and interactive effects of these conditions on the risk of incident ADRD in older population. Methods This retrospective-cohort study drew baseline and 2-year follow-up data from linked Medicare claims and Medicare Current Beneficiary Survey (MCBS). Baseline multimorbidity and NCPC were ascertained using claims data. ADRD was ascertained at baseline and follow-up. Results NCPC accompanied by multimorbidity (vs. absence of NCPC or multimorbidity) had a significant and upward association with incident ADRD (adjusted odds ratio (AOR): 1.72, 95% CI 1.38, 2.13, p < 0.0001). Secondary analysis by number of comorbid conditions suggested that the joint effects of NCPC and multimorbidity on ADRD risk may increase with rising number contributing chronic conditions. Interaction analyses indicated significantly elevated excess risk for incident ADRD.
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Chou C, McDaniel CC, Lai TC, McDonald CP, Rockwell D, Loh F. Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey. Health Sci Rep 2023; 6:e1193. [PMID: 37064308 PMCID: PMC10102707 DOI: 10.1002/hsr2.1193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 03/30/2023] [Indexed: 04/18/2023] Open
Abstract
Background The Medicare Current Beneficiary Survey (MCBS) limited-access data provides the unique opportunity to utilize administrative claims and adjusted survey data to investigate trends in utilization and medical expenditure across time. The adjusted survey data is a synthesized, matched version of the original survey data and claims. Researchers may choose adjusted survey data or original claims for cost evaluations according to their research purpose. However, limited research has examined methodological issues when estimating medical cost using different MCBS data sources. Objective The study objective was to examine the reproducibility of individual-level medical cost using both MCBS data sources: adjusted survey and claims data. Methods This serial cross-sectional study design analyzed 2006-2012 MCBS data. The sample included noninstitutionalized older Medicare beneficiaries (≥65 years old), with a cancer diagnosis and annually enrolled in Medicare Parts A, B, and D. The population was stratified by diabetes diagnosis. The primary outcome was annual medical cost. We investigated the discrepancies of medical cost estimated from the adjusted survey and original claims data. The agreement between cost estimates from the two sources in each year was determined using the Wilcoxon signed-rank test. Results A total of 4918 eligible Medicare beneficiaries were included in this study, and 26% of beneficiaries also had diabetes (N = 1275). Significant disagreements in cost estimates between adjusted survey and claims data were present regardless of disease complexity (with or without diabetes). Significant disagreements in medical cost estimates were present in most years, except in 2010 (p = 0.467) and 2011 (p = 0.098), for beneficiaries with cancer and diabetes (p < 0.001 for all). Significant disagreements in medical cost estimates were present in all years for beneficiaries with cancer without diabetes (p < 0.001 for all). Conclusions Based on discrepant cost estimates across data sources, researchers using MCBS to estimate costs should be cautious when using claims or adjusted survey data alone.
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Affiliation(s)
- Chiahung Chou
- Department of Health Outcomes Research and PolicyHarrison College of Pharmacy, Auburn UniversityAuburnAlabamaUSA
- Department of Medical ResearchChina Medical University HospitalTaichung CityTaiwan
| | - Cassidi C. McDaniel
- Department of Health Outcomes Research and PolicyHarrison College of Pharmacy, Auburn UniversityAuburnAlabamaUSA
| | - Tim C. Lai
- Department of Health Outcomes Research and PolicyHarrison College of Pharmacy, Auburn UniversityAuburnAlabamaUSA
| | | | - Devan Rockwell
- Family Medicine‐Clinical ServicesUniversity of South AlabamaMobileAlabamaUSA
| | - Feng‐Hua Loh
- Department of Social, Behavioral, and Administrative SciencesTouro College of PharmacyNew York CityNew YorkUSA
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Chen Z, Zhang H, Yang X, Wu S, He X, Xu J, Guo J, Prosperi M, Wang F, Xu H, Chen Y, Hu H, DeKosky ST, Farrer M, Guo Y, Wu Y, Bian J. Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias. Int J Med Inform 2023; 170:104973. [PMID: 36577203 PMCID: PMC11325083 DOI: 10.1016/j.ijmedinf.2022.104973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 12/11/2022] [Accepted: 12/17/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Cognitive tests and biomarkers are the key information to assess the severity and track the progression of Alzheimer's' disease (AD) and AD-related dementias (AD/ADRD), yet, both are often only documented in clinical narratives of patients' electronic health records (EHRs). In this work, we aim to (1) assess the documentation of cognitive tests and biomarkers in EHRs that can be used as real-world endpoints, and (2) identify, extract, and harmonize the different commonly used cognitive tests from clinical narratives using natural language processing (NLP) methods into categorical AD/ADRD severity. METHODS We developed a rule-based NLP pipeline to extract the cognitive tests and biomarkers from clinical narratives in AD/ADRD patients' EHRs. We aggregated the extracted results to the patient level and harmonized the cognitive test scores into severity categories using cutoffs determined based on both relevant literature and domain knowledge of AD/ADRD clinicians. RESULTS We identified an AD/ADRD cohort of 48,912 patients from the University of Florida (UF) Health system and identified 7 measurements (6 cognitive tests and 1 biomarker) that are frequently documented in our data. Our NLP pipeline achieved an overall F1-score of 0.9059 across the 7 measurements. Among the 6 cognitive tests, we were able to harmonize 4 cognitive test scores into severity categories, and the population characteristics of patients with different severity were described. We also identified several factors related to the availability of their documentation in EHRs. CONCLUSION This study demonstrates that our NLP pipelines can extract cognitive tests and biomarkers of AD/ADRD accurately for downstream studies. Although, the documentation of cognitive tests and biomarkers in EHRs appears to be low, RWD is still an important resource for AD/ADRD research. Nevertheless, providing standardized approach to document cognitive tests and biomarkers in EHRS are also warranted.
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Affiliation(s)
- Zhaoyi Chen
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - Hansi Zhang
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - Xi Yang
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - Songzi Wu
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - Xing He
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - Jie Xu
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - Jingchuan Guo
- Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, FL, USA
| | - Mattia Prosperi
- Department of Epidemiology, University of Florida, Gainesville, FL, USA
| | - Fei Wang
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Hua Xu
- Center for Translational AI in Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yong Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Hui Hu
- Channing Division of Network Medicine at Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Steven T DeKosky
- Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Matthew Farrer
- Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Yi Guo
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - Yonghui Wu
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
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Vo QT, Koethe B, Holmes S, Simoni-Wastila L, Briesacher BA. Patient Outcomes After Delirium Screening and Incident Alzheimer's Disease or Related Dementias in Skilled Nursing Facilities. J Gen Intern Med 2023; 38:414-420. [PMID: 35970959 PMCID: PMC9905370 DOI: 10.1007/s11606-022-07760-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 07/29/2022] [Indexed: 10/15/2022]
Abstract
BACKGROUND The extent to which a positive delirium screening and new diagnosis of Alzheimer's disease or related dementias (ADRD) increases the risk for re-hospitalization, long-term nursing home placement, and death remains unknown. OBJECTIVE To compare long-term outcomes among newly admitted skilled nursing facility (SNF) patients with delirium, incident ADRD, and both conditions. DESIGN, SETTING, AND PARTICIPANTS A retrospective cohort study of Medicare beneficiaries who entered a SNF from hospital with a minimum 14-day stay (n = 100,832) from 2015 to 2016. MAIN MEASURES Return to home, hospital readmission, admission to a long-term care facility, or death. KEY RESULTS Patients with delirium were as likely to be discharged home as patients diagnosed with ADRD (HR: 0.63, 95% CI: 0.59, 0.67; HR: 0.65, 95% CI: 0.64, 0.67). Patients with both delirium and ADRD were less likely to be discharged home (HR: 0.49, 95% CI: 0.47, 0.52) and showed increased risk of death (HR: 1.30, 95% CI: 1.17, 1.45). Patients with ADRD, regardless of delirium screening status, had increased risk for long-term nursing home care transfer (HR: 1.66, 95% CI: 1.63, 1.70; HR: 1.76, 95% CI: 1.69, 1.82). Patients with delirium and no ADRD showed increased risk of transfer to long-term nursing home care (HR: 1.25, 95% CI: 1.18, 1.33). The rate of deaths was higher among patients who screened positive for delirium without ADRD compared to the no delirium and no ADRD groups (HR: 2.35, 95% CI: 2.11, 2.61). CONCLUSION A positive delirium screening increased risk of death and transfer to long-term care in the first 100 days after admission regardless of incident ADRD diagnosis. Patients with delirium and/or ADRD also are less likely to be discharged home. Our study builds on the evidence base that delirium is important to address in older adults as it is associated with negative outcomes.
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Affiliation(s)
- Quynh T Vo
- Department of Health Sciences, Bouvé College of Health Sciences, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA.
| | - Benjamin Koethe
- School of Pharmacy, Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA
| | - Sarah Holmes
- Department of Organizational Systems and Adult Health, University of Maryland School of Nursing, Baltimore, MD, USA
- Peter Lamy Center on Drug Therapy and Aging, University of Maryland Baltimore School of Pharmacy, Baltimore, MD, USA
| | - Linda Simoni-Wastila
- Peter Lamy Center on Drug Therapy and Aging, University of Maryland Baltimore School of Pharmacy, Baltimore, MD, USA
- Department of Pharmaceutical Health Services Research, University of Maryland Baltimore School of Pharmacy, Baltimore, MD, USA
| | - Becky A Briesacher
- School of Pharmacy, Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA
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11
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Song Y, Racette BA, Camacho-Soto A, Searles Nielsen S. Biologic targets of prescription medications and risk of neurodegenerative disease in United States Medicare beneficiaries. PLoS One 2023; 18:e0285011. [PMID: 37195983 DOI: 10.1371/journal.pone.0285011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 04/13/2023] [Indexed: 05/19/2023] Open
Abstract
OBJECTIVE To identify prescription medications associated with a lower risk of three neurodegenerative diseases: Parkinson disease, Alzheimer disease, and amyotrophic lateral sclerosis. METHODS We conducted a population-based, case-control study of U.S. Medicare beneficiaries in 2009 (42,885 incident neurodegenerative disease cases, 334,387 randomly selected controls). Using medication data from 2006-2007, we categorized all filled medications according to their biological targets and mechanisms of action on those targets. We used multinomial logistic regression models, while accounting for demographics, indicators of smoking, and health care utilization, to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for 141 target-action pairs and each neurodegenerative disease. For target-action pairs inversely associated with all three diseases, we attempted replication in a cohort study that included an active comparator group. We constructed the cohort by following controls forward for incident neurodegenerative disease from the beginning of 2010 until death or end of 2014, i.e., up to five years after the two-year exposure lag. We used Cox proportional hazards regression while accounting for the same covariates. RESULTS The most consistent inverse association across both studies and all three neurodegenerative diseases was for xanthine dehydrogenase/oxidase blockers, represented by the gout medication, allopurinol. Allopurinol was associated with a 13-34% lower risk for each neurodegenerative disease group in multinomial regression, and a mean reduction of 23% overall, as compared to individuals who did not use allopurinol. In the replication cohort we observed a significant 23% reduction for neurodegenerative disease in the fifth year of follow-up, when comparing allopurinol users to non-users, and more marked associations with an active comparator group. We observed parallel associations for a related target-action pair unique to carvedilol. DISCUSSION/CONCLUSION Xanthine dehydrogenase/oxidase blockade might reduce risk of neurodegenerative disease. However, further research will be necessary to confirm that the associations related to this pathway are causal or to examine whether this mechanism slows progression.
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Affiliation(s)
- Yizhe Song
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Brad A Racette
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Department of Neurology, Barrow Neurological Institute, Phoenix, Arizona, United States of America
- Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Alejandra Camacho-Soto
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Department of Orthopedics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Susan Searles Nielsen
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, United States of America
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Zhu CW, Gu Y, Cosentino S, Kociolek AJ, Hernandez M, Stern Y. Racial/Ethnic Disparities in Misidentification of Dementia in Medicare Claims: Results from the Washington Heights-Inwood Columbia Aging Project. J Alzheimers Dis 2023; 96:359-368. [PMID: 37781805 PMCID: PMC10759149 DOI: 10.3233/jad-230584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
BACKGROUND Misidentification of dementia in Medicare claims is quite common. OBJECTIVE We examined potential race/ethnic disparities in misidentification of dementia in Medicare claims in a diverse cohort of older adults who underwent careful clinical assessment. METHODS Participants were enrolled in the Washington Heights-Inwood Columbia Aging Project (WHICAP), a multiethnic, population-based, prospective study of cognitive aging in which dementia status was assessed using a rigorous clinical protocol. ICD-9-CM and ICD-10-CM diagnosis codes in all available Medicare claims (1999-2019) were compared to clinical dementia diagnosis and categorized into three mutually exclusive groups: 1) congruent-, 2) over-, and 3) under- identification during the study period. Multinomial logistic regression model was used to examine the relationship between race (White, African American/Black, other) and ethnicity (Hispanic/Latinx, non-Hispanic/Latinx) and congruency of dementia identification after controlling for clinical (cognition, function, comorbidities) and demographic characteristics (age, sex, education), and inpatient and outpatient utilization. RESULTS Across all person-years, 88.4% had congruent identification of dementia compared to clinical diagnosis, in 4.1% of the times participants were over-identified with dementia, and 7.5% of the times the participants were under-identified. Rates of misidentification was higher in minority participants than in White, non-Hispanic participants. Multivariable estimation results showed that the probability of over-identification with dementia was 2.2% higher for African American/Black than White (p = 0.05) and 2.7% higher for Hispanic participants than non-Hispanics (p = 0.03) participants. Differences in under-identification by race/ethnicity were not statistically significant. CONCLUSIONS African American/Black and Hispanic participants were more likely over-identified with dementia in Medicare claims.
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Affiliation(s)
- Carolyn W. Zhu
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J Peters VA Medical Center, Bronx, NY, USA
| | - Yian Gu
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research in Alzheimer’s Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Stephanie Cosentino
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research in Alzheimer’s Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
| | - Anton J. Kociolek
- Taub Institute for Research in Alzheimer’s Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
| | - Michelle Hernandez
- Taub Institute for Research in Alzheimer’s Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
| | - Yaakov Stern
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research in Alzheimer’s Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
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13
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Sattui SE, Navarro-Millan I, Xie F, Rajan M, Yun H, Curtis JR. Incidence of Dementia in Patients with Rheumatoid Arthritis and Association with Disease Modifying Anti-Rheumatic Drugs – Analysis of a National Claims Database. Semin Arthritis Rheum 2022; 57:152083. [DOI: 10.1016/j.semarthrit.2022.152083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 07/31/2022] [Accepted: 08/10/2022] [Indexed: 10/15/2022]
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Choi Y. The effect of socioeconomic status on mortality among Alzheimer's disease patients: A nationwide population-based cohort study in Korea. Medicine (Baltimore) 2022; 101:e29527. [PMID: 35905220 PMCID: PMC9333517 DOI: 10.1097/md.0000000000029527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
To investigate the effects of household income level on all-cause mortality in patients with Alzheimer's disease (AD). Data was obtained from 7,937 participants in the Korean National Health Insurance cohort who was newly diagnosed with Alzheimer's disease using the anti-dementia medication between 2003 and 2013. All individuals were followed-up until December 2013 or death, whichever came first. Individual income was estimated from the national health insurance premium. Information on mortality was obtained from the Korean National Statistical Office. Cox proportional hazard models were used to compare mortality rates between different income groups after adjusting for possible confounding risk factors. Of 7937 participants, 2292 AD patients (28.9%) died. Those with low, middle-low, middle income level were likely to have more increasing risk of mortality (HR 1.142 [1.022-1.276], HR 1.211 [1.045-1.402], and HR 1.158 [1.009-1.328], respectively), compared to those with high income level. The findings of this study indicate that AD patients with low income level have higher risk for mortality. Promotion of targeted policies and priority support for these groups may help reduce the mortality rate in this vulnerable group.
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Affiliation(s)
- Young Choi
- Department of Healthcare Management, Catholic University of Pusan, Busan, Republic of Korea
- Institute of Health Services Research, Yonsei University College of Medicine, Seoul, Republic of Korea
- *Correspondence: Young Choi, Department of Healthcare Management, Catholic University of Pusan, Oryundae-ro 57, Geumjeong-gu, Busan, 46252, Korea (e-mail: )
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15
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Briesacher BA, Olivieri-Mui BL, Koethe B, Saczynski JS, Fick DM, Devlin JW, Marcantonio ER. Psychoactive medication therapy and delirium screening in skilled nursing facilities. J Am Geriatr Soc 2022; 70:1517-1524. [PMID: 35061246 PMCID: PMC9106820 DOI: 10.1111/jgs.17662] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 12/14/2021] [Accepted: 01/04/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND A positive delirium screen at skilled-nursing facility (SNF) admission can trigger a simultaneous diagnosis of Alzheimer's Disease or related dementia (AD/ADRD) and lead to psychoactive medication treatment despite a lack of evidence supporting use. METHODS This was a nationwide historical cohort study of 849,086 Medicare enrollees from 2011-2013 who were admitted to the SNF from a hospital without a history of dementia. Delirium was determined through positive Confusion Assessment Method screen and incident AD/ADRD through active diagnosis or claims. Cox proportional hazard models predicted the risk of receiving one of three psychoactive medications (i.e., antipsychotics, benzodiazepines, antiepileptics) within 7 days of SNF admission and within the entire SNF stay. RESULTS Of 849,086 newly-admitted SNF patients (62.6% female, mean age 78), 6.1% had delirium (of which 35.4% received an incident diagnosis of AD/ADRD); 12.6% received antipsychotics, 30.4% benzodiazepines, and 5.8% antiepileptics. Within 7 days of admission, patients with delirium and incident dementia were more likely to receive an antipsychotic (relative risk [RR] 3.09; 95% confidence interval [CI] 2.99 to 3.20), or a benzodiazepine (RR 1.23; 95% CI 1.19 to 1.27) than patients without either condition. By the end of the SNF stay, patients with both delirium and incident dementia were more likely to receive an antipsychotic (RR 3.04; 95% CI 2.95 to 3.14) and benzodiazepine (RR 1.32; 95% CI 1.29 to 1.36) than patients without either condition. CONCLUSION In this historical cohort, a positive delirium screen was associated with a higher risk of receiving psychoactive medication within 7 days of SNF admission, particularly in patients with an incident AD/ADRD diagnosis. Future research should examine strategies to reduce inappropriate psychoactive medication prescribing in older adults admitted with delirium to SNFs.
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Affiliation(s)
- Becky A. Briesacher
- Northeastern University, Bouvé College of Health Sciences, School of Pharmacy
| | | | - Benjamin Koethe
- Northeastern University, Bouvé College of Health Sciences, School of Pharmacy
| | - Jane S. Saczynski
- Northeastern University, Bouvé College of Health Sciences, School of Pharmacy
| | - Donna Marie Fick
- Penn State College of Nursing, Center of Geriatric Nursing Excellence
| | - John W. Devlin
- Northeastern University, Bouvé College of Health Sciences, School of Pharmacy
| | - Edward R. Marcantonio
- Harvard Medical School, Divisions of General Medicine and Gerontology, Beth Israel Deaconess Medical Center
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16
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Chen Z, Ho M, Chau PH. Handgrip strength asymmetry is associated with the risk of neurodegenerative disorders among Chinese older adults. J Cachexia Sarcopenia Muscle 2022; 13:1013-1023. [PMID: 35178892 PMCID: PMC8977973 DOI: 10.1002/jcsm.12933] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/19/2021] [Accepted: 01/10/2022] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Neurodegenerative disorders, as the irreversible condition, have a long, silent preclinical period. Recognition of early physical signs of neurodegenerative disorders had important practical implications for identifying at-risk population. The aim of this study was to investigate whether handgrip strength (HGS) asymmetry was associated with the incidence of neurodegenerative disorders among Chinese older adults. METHODS This study used the data of participants aged 60 years and over from three waves (2011-2015) of China Health and Retirement Longitudinal Study. HGS asymmetry was measured with HGS ratio (maximal non-dominant HGS/maximal dominant HGS), with the value less than 0.9 or more than 1.1 considered as HGS asymmetry. Physician-diagnosed neurodegenerative disorders were identified by self-reported or proxy-reported information. Competing risk analysis was conducted to examine the association between HGS asymmetry and incident neurodegenerative disorders, with mortality treated as the competing event. RESULTS A total of 4925 participants were included in the analysis [mean (SD) age: 68.1(6.68); female: 49.7%]. Eight hundred and eighty-eight (18.0%) participants had low HGS and 2227 (45.2%) had HGS asymmetry. During the 4 years of follow-up, there were 156 cases of neurodegenerative disorders and 422 cases of mortality. The incidence of neurodegenerative disorders was 8.7 per 1000 person-years [95% confidence interval (CI): 7.4-10.2], and the incidence of mortality was 23.5 per 1000 person-years (95% CI: 21.4-25.9). Both the cause-specific model and the Fine-Gray subdistribution hazard model showed that participants with HGS asymmetry had increased hazard of neurodegenerative disorders [hazard ratio (HR) = 1.66, P = 0.002, 95% CI: 1.202-2.297; subdistribution hazard ratio (SHR) = 1.65, P = 0.002, 95% CI: 1.202-2.285]. Low HGS, but not HGS asymmetry, was related to the higher hazard of mortality (HR = 1.61, P < 0.001, 95% CI: 1.297-1.995; SHR = 1.58, P < 0.001, 95% CI: 1.286-1.951). CONCLUSIONS Handgrip strength asymmetry was associated with the future risk of neurodegenerative disorders among Chinese older adults. Public healthcare providers could consider examining HGS asymmetry along with the maximal HGS as a way to identify those at elevated risk of neurodegenerative disorders.
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Affiliation(s)
- Zi Chen
- School of Nursing, The University of Hong Kong, Hong Kong, China
| | - Mandy Ho
- School of Nursing, The University of Hong Kong, Hong Kong, China
| | - Pui Hing Chau
- School of Nursing, The University of Hong Kong, Hong Kong, China
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Mahmoudi E, Lin P, Kamdar N, Gonzales G, Norcott A, Peterson MD. Risk of early- and late-onset Alzheimer disease and related dementia in adults with cerebral palsy. Dev Med Child Neurol 2022; 64:372-378. [PMID: 34496036 PMCID: PMC10424101 DOI: 10.1111/dmcn.15044] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 07/23/2021] [Accepted: 07/29/2021] [Indexed: 11/29/2022]
Abstract
AIM To examine the risk of Alzheimer disease and related dementia (ADRD) among adults with cerebral palsy (CP). METHOD Using administrative insurance claims data for 2007 to 2017 in the USA, we identified adults (45y or older) with a diagnosis of CP (n=5176). Adults without a diagnosis of CP were included as a typically developing comparison group (n=1 119 131). Using age, sex, ethnicity, other demographic variables, and a set of chronic morbidities, we propensity-matched individuals with and without CP (n=5038). Cox survival models were used to estimate ADRD risk within a 3-year follow up. RESULTS The unadjusted incidence of ADRD was 9 and 2.4 times higher among cohorts of adults 45 to 64 years (1.8%) and 65 years and older (4.8%) with CP than the respective unmatched individuals without CP (0.2% and 2.0% among 45-64y and 65y or older respectively). Fully adjusted survival models indicated that adults with CP had a greater hazard for ADRD (among 45-64y: unmatched hazard ratio 7.48 [95% confidence interval {CI} 6.05-9.25], matched hazard ratio 4.73 [95% CI 2.72-8.29]; among 65y or older: unmatched hazard ratio 2.21 [95% CI 1.95-2.51], matched hazard ratio 1.73 [1.39-2.15]). INTERPRETATION Clinical guidelines for early screening of cognitive function among individuals with CP need updating, and preventative and/or therapeutic services should be used to reduce the risk of ADRD.
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Affiliation(s)
- Elham Mahmoudi
- Department of Family Medicine, Michigan Medicine, University of Michigan
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Paul Lin
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Neil Kamdar
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Obstetrics and Gynecology, Michigan Medicine, University of Michigan
- Department of Emergency Medicine, Michigan Medicine, University of Michigan
- Department of Surgery, Michigan Medicine, University of Michigan
- Department of Neurosurgery, Michigan Medicine, University of Michigan
| | - Gabriella Gonzales
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, MI
| | - Alexandra Norcott
- Department of Internal Medicine, Division of Geriatrics and Palliative Medicine, Michigan Medicine, University of Michigan
- Department of Internal Medicine, GRECC, VA Ann Arbor Healthcare System
| | - Mark D. Peterson
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
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18
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Khalid S, Sambamoorthi U, Umer A, Lilly CL, Gross DK, Innes KE. Increased Odds of Incident Alzheimer's Disease and Related Dementias in Presence of Common Non-Cancer Chronic Pain Conditions in Appalachian Older Adults. J Aging Health 2021; 34:158-172. [PMID: 34351824 DOI: 10.1177/08982643211036219] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND There is a growing concern regarding the increasing prevalence of common non-cancer chronic pain conditions (NCPCs) and their possible association with Alzheimer's disease and related dementias (ADRD). However, large population-based studies are limited, especially in Appalachian and other predominantly rural, underserved populations who suffer elevated prevalence of both NCPCs and known ADRD risk factors. OBJECTIVES We investigated the relation of NCPC to risk of incident ADRD in older Appalachian Medicare beneficiaries and explored the potential mediating effects of mood and sleep disorders. METHODS Using a retrospective cohort design, we assessed the overall and cumulative association of common diagnosed NCPCs at baseline to incident ADRD in 161,573 elders ≥65 years, Medicare fee-for-service enrollees, 2013-2015. NCPCs and ADRD were ascertained using claims data. Additional competing risk for death analyses accounted for potential survival bias. MAIN FINDINGS Presence of any NCPC at baseline was associated with significantly increased odds for incident ADRD after adjustment for covariates [adjusted odds ratio (AOR) = 1.26 (1.20, 1.32), p < .0001]. The magnitude and strength of this association increased significantly with rising burden of NCPCs at baseline [AOR for ≥4 vs. no NCPC = 1.65 (1.34, 2.03), p-trend = .01]. The addition of depression and anxiety, but not sleep disorders, modestly attenuated these associations [AORs for any NCPC and ≥4 NCPCs, respectively = 1.16 (1.10, 1.22) and 1.39 (1.13, 1.71)], suggesting a partial mediating role of mood impairment. Sensitivity analyses, multinomial logistic regressions accounting for risk of death, yielded comparable findings. CONCLUSION In this large cohort of older Appalachian Medicare beneficiaries, baseline NCPCs showed a strong, positive, dose-response relationship to odds for incident ADRD; this association appeared partially mediated by depression and anxiety. Further longitudinal research in this and other high-risk, rural populations are needed to evaluate the causal relation between NCPC and ADRD.
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Affiliation(s)
- Sumaira Khalid
- Department of Epidemiology, 5631West Virginia University, School of Public Health, Morgantown, WV, USA
| | - Usha Sambamoorthi
- Department of Pharmaceutical Systems and Policy, 5631West Virginia University, School of Pharmacy, Morgantown, WV, USA
| | - Amna Umer
- Department of Pediatrics, 5631West Virginia University, School of Medicine, Morgantown, WV, USA
| | - Christa L Lilly
- Department of Biostatistics, 5631West Virginia University, School of Public Health, Morgantown, WV, USA
| | - Diane K Gross
- Department of Epidemiology, 5631West Virginia University, School of Public Health, Morgantown, WV, USA
| | - Kim E Innes
- Department of Epidemiology, 5631West Virginia University, School of Public Health, Morgantown, WV, USA
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Lin PJ, Daly AT, Olchanski N, Cohen JT, Neumann PJ, Faul JD, Fillit HM, Freund KM. Dementia Diagnosis Disparities by Race and Ethnicity. Med Care 2021; 59:679-686. [PMID: 34091580 PMCID: PMC8263486 DOI: 10.1097/mlr.0000000000001577] [Citation(s) in RCA: 113] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Dementia is often underdiagnosed and this problem is more common among some ethnoracial groups. OBJECTIVE The objective of this study was to examine racial and ethnic disparities in the timeliness of receiving a clinical diagnosis of dementia. RESEARCH DESIGN This was a prospective cohort study. SUBJECTS A total of 3966 participants age 70 years and above with probable dementia in the Health and Retirement Study, linked with their Medicare and Medicaid claims. MEASURES We performed logistic regression to compare the likelihood of having a missed or delayed dementia diagnosis in claims by race/ethnicity. We analyzed dementia severity, measured by cognition and daily function, at the time of a dementia diagnosis documented in claims, and estimated average dementia diagnosis delay, by race/ethnicity. RESULTS A higher proportion of non-Hispanic Blacks and Hispanics had a missed/delayed clinical dementia diagnosis compared with non-Hispanic Whites (46% and 54% vs. 41%, P<0.001). Fully adjusted logistic regression results suggested more frequent missed/delayed dementia diagnoses among non-Hispanic Blacks (odds ratio=1.12; 95% confidence interval: 0.91-1.38) and Hispanics (odds ratio=1.58; 95% confidence interval: 1.20-2.07). Non-Hispanic Blacks and Hispanics had a poorer cognitive function and more functional limitations than non-Hispanic Whites around the time of receiving a claims-based dementia diagnosis. The estimated mean diagnosis delay was 34.6 months for non-Hispanic Blacks and 43.8 months for Hispanics, compared with 31.2 months for non-Hispanic Whites. CONCLUSIONS Non-Hispanic Blacks and Hispanics may experience a missed or delayed diagnosis of dementia more often and have longer diagnosis delays. When diagnosed, non-Hispanic Blacks and Hispanics may have more advanced dementia. Public health efforts should prioritize racial and ethnic underrepresented communities when promoting early diagnosis of dementia.
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Affiliation(s)
- Pei-Jung Lin
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
- Department of Medicine, Tufts University School of Medicine, Boston, MA
| | - Allan T. Daly
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
| | - Natalia Olchanski
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
| | - Joshua T. Cohen
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
- Department of Medicine, Tufts University School of Medicine, Boston, MA
| | - Peter J. Neumann
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
- Department of Medicine, Tufts University School of Medicine, Boston, MA
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | | | - Karen M. Freund
- Department of Medicine, Tufts University School of Medicine, Boston, MA
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
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Gallini A, Jegou D, Lapeyre-Mestre M, Couret A, Bourrel R, Ousset PJ, Fabre D, Andrieu S, Gardette V. Development and Validation of a Model to Identify Alzheimer's Disease and Related Syndromes in Administrative Data. Curr Alzheimer Res 2021; 18:142-156. [PMID: 33882802 DOI: 10.2174/1567205018666210416094639] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 03/12/2021] [Accepted: 03/30/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Administrative data are used in the field of Alzheimer's Disease and Related Syndromes (ADRS), however their performance to identify ADRS is unknown. OBJECTIVE i) To develop and validate a model to identify ADRS prevalent cases in French administrative data (SNDS), ii) to identify factors associated with false negatives. METHODS Retrospective cohort of subjects ≥ 65 years, living in South-Western France, who attended a memory clinic between April and December 2013. Gold standard for ADRS diagnosis was the memory clinic specialized diagnosis. Memory clinics' data were matched to administrative data (drug reimbursements, diagnoses during hospitalizations, registration with costly chronic conditions). Prediction models were developed for 1-year and 3-year periods of administrative data using multivariable logistic regression models. Overall model performance, discrimination, and calibration were estimated and corrected for optimism by resampling. Youden index was used to define ADRS positivity and to estimate sensitivity, specificity, positive predictive and negative probabilities. Factors associated with false negatives were identified using multivariable logistic regressions. RESULTS 3360 subjects were studied, 52% diagnosed with ADRS by memory clinics. Prediction model based on age, all-cause hospitalization, registration with ADRS as a chronic condition, number of anti-dementia drugs, mention of ADRS during hospitalizations had good discriminative performance (c-statistic: 0.814, sensitivity: 76.0%, specificity: 74.2% for 2013 data). 419 false negatives (24.0%) were younger, had more often ADRS types other than Alzheimer's disease, moderate forms of ADRS, recent diagnosis, and suffered from other comorbidities than true positives. CONCLUSION Administrative data presented acceptable performance for detecting ADRS. External validation studies should be encouraged.
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Affiliation(s)
- Adeline Gallini
- CERPOP, Universite de Toulouse, Inserm, UPS, Toulouse, France
| | - David Jegou
- CERPOP, Universite de Toulouse, Inserm, UPS, Toulouse, France
| | | | - Anaïs Couret
- CERPOP, Universite de Toulouse, Inserm, UPS, Toulouse, France
| | - Robert Bourrel
- Caisse Nationale d'Assurance Maladie des Travailleurs Salaries (CNAMTS), Echelon Regional du Service Medical Midi-Pyrenees - F31000 Toulouse, France
| | - Pierre-Jean Ousset
- CHU Toulouse, Centre Memoire de Ressources et de Recherches - F31000 Toulouse, France
| | - D Fabre
- CHU Toulouse, Departement D'information Medicale - F31000 Toulouse, France
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21
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Mahmoudi E, Lin P, Peterson MD, Meade MA, Tate DG, Kamdar N. Traumatic Spinal Cord Injury and Risk of Early and Late Onset Alzheimer's Disease and Related Dementia: Large Longitudinal Study. Arch Phys Med Rehabil 2021; 102:1147-1154. [PMID: 33508336 PMCID: PMC10536758 DOI: 10.1016/j.apmr.2020.12.019] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 12/12/2020] [Accepted: 12/20/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Traumatic spinal cord injury (TSCI) is a life altering event most often causing permanent physical disability. Little is known about the risk of developing Alzheimer disease and related dementia (ADRD) among middle-aged and older adults living with TSCI. Time to diagnosis of and adjusted hazard for ADRD was assessed. DESIGN Cohort study. SETTING Using 2007-2017 claims data from the Optum Clinformatics Data Mart, we identified adults (45+) with diagnosis of TSCI (n=7019). Adults without TSCI diagnosis were included as comparators (n=916,516). Using age, sex, race/ethnicity, cardiometabolic, psychological, and musculoskeletal chronic conditions, US Census division, and socioeconomic variables, we propensity score matched persons with and without TSCI (n=6083). Incidence estimates of ADRD were compared at 4 years of enrollment. Survival models were used to quantify unadjusted, fully adjusted, and propensity-matched unadjusted and adjusted hazard ratios (HRs) for incident ADRD. PARTICIPANTS Adults with and without TSCI (N=6083). INTERVENTION Not applicable. MAIN OUTCOMES MEASURES Diagnosis of ADRD. RESULTS Both middle-aged and older adults with TSCI had higher incident ADRD compared to those without TSCI (0.5% vs 0.2% and 11.7% vs 3.3% among 45-64 and 65+ y old unmatched cohorts, respectively) (0.5% vs 0.3% and 10.6% vs 6.2% among 45-64 and 65+ y old matched cohorts, respectively). Fully adjusted survival models indicated that adults with TSCI had a greater hazard for ADRD (among 45-64y old: unmatched HR: 3.19 [95% confidence interval, 95% CI, 2.30-4.44], matched HR: 1.93 [95% CI, 1.06-3.51]; among 65+ years old: unmatched HR: 1.90 [95% CI, 1.77-2.04], matched HR: 1.77 [1.55-2.02]). CONCLUSIONS Adults with TSCI are at a heightened risk for ADRD. Improved clinical screening and early interventions aiming to preserve cognitive function are of paramount importance for this patient cohort.
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Affiliation(s)
- Elham Mahmoudi
- Department of Family Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI; Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI.
| | - Paul Lin
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI
| | - Mark D Peterson
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI; Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI
| | - Michelle A Meade
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI; Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI
| | - Denise G Tate
- Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI
| | - Neil Kamdar
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI; Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI; Department of Obstetrics and Gynecology, Michigan Medicine, University of Michigan, Ann Arbor, MI; Department of Emergency Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI; Department of Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI; Department of Neurosurgery, Michigan Medicine, University of Michigan, Ann Arbor, MI
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22
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Innes KE, Sambamoorthi U. The Association of Osteoarthritis and Related Pain Burden to Incident Alzheimer's Disease and Related Dementias: A Retrospective Cohort Study of U.S. Medicare Beneficiaries. J Alzheimers Dis 2021; 75:789-805. [PMID: 32333589 DOI: 10.3233/jad-191311] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND Emerging evidence suggests osteoarthritis (OA) and related symptom burden may increase risk for Alzheimer's disease and related dementias (ADRD). However, longitudinal studies are sparse, and none have examined the potential mediating effects of mood or sleep disorders. OBJECTIVE To determine the association of OA and related pain to incident ADRD in U.S. elders. METHODS In this retrospective cohort study, we used baseline and two-year follow-up data from linked Medicare claims and Medicare Current Beneficiary Survey files (11 pooled cohorts, 2001-2013). The study sample comprised 16,934 community-dwelling adults≥65 years, ADRD-free at baseline and enrolled in fee-for-service Medicare. Logistic regression was used to assess the association of OA and related pain (back, neck, joint, neuropathic) to incident ADRD, explore the mediating inlfuence of mood and insomnia-related sleep disorders, and (sensitivity analyses) account for potential survival bias. RESULTS Overall, 25.5% of beneficiaries had OA at baseline (21.0% with OA and pain); 1149 elders (5.7%) were subsequently diagnosed with ADRD. Compared to beneficiaries without OA, those with OA were significantly more likely to receive a diagnosis of incident ADRD after adjustment for sociodemographics, lifestyle characteristics, comorbidities, and medications (adjusted odds ratio (AOR) = 1.23 (95% confidence interval (CI) 1.06, 1.42). Elders with OA and pain at baseline were significantly more likely to be diagnosed with incident ADRD than were those without OA or pain (AOR = 1.31, CI 1.08, 1.58). Sensitivity analyses yielded similar findings. Inclusion of depression/anxiety, but not sleep disorders, substantially attenuated these associations. CONCLUSION Findings of this study suggest that: OA is associated with elevated ADRD risk, this association is particularly pronounced in those with OA and pain, and mood disorders may partially mediate this relationship.
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Affiliation(s)
- Kim E Innes
- Department of Epidemiology, West Virginia University School of Public Health, Morgantown, WV, USA
| | - Usha Sambamoorthi
- Department of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Morgantown, WV, USA
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23
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Rege S, Carnahan RM, Johnson ML, Chen H, Holmes HM, Aparasu RR. Antipsychotic Initiation Among Older Dementia Patients Using Cholinesterase Inhibitors: A National Retrospective Cohort Study. Drugs Aging 2021; 38:493-502. [PMID: 33763822 DOI: 10.1007/s40266-021-00851-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/28/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Evidence regarding the initiation of antipsychotic medications across individual cholinesterase inhibitors (ChEIs) to manage the behavioral symptoms of dementia is lacking. OBJECTIVES This study compared the risk of initiation of antipsychotic medications among older adults with dementia treated with the ChEIs donepezil, rivastigmine, or galantamine. METHODS This retrospective cohort study used multiyear (2013-2015) Medicare claims data involving Parts A, B, and D. The study sample included community-dwelling older adults (aged ≥ 65 years) with a diagnosis of dementia. The study identified new users of ChEIs and followed them for up to 180 days for antipsychotic initiation. The ChEIs included donepezil, rivastigmine, and galantamine, whereas antipsychotics included typical and atypical agents. Donepezil was used as the reference category as it is the most commonly used ChEI and only acts on acetylcholinesterase, whereas both rivastigmine and galantamine have dual mechanisms of action. Multivariable Cox proportional hazards regression compared the risk of and time to antipsychotic initiation among the three ChEIs, adjusting for other risk factors. RESULTS The study cohort consisted of 178,441 older adults with dementia who were new users of ChEIs. A total of 23,433 (15.14%) donepezil users, 4114 (19.04%) rivastigmine users, and 324 (15.77%) galantamine users initiated antipsychotics. The mean time to antipsychotic initiation among patients who received antipsychotics was 109.29 ± 69.72 days for donepezil users, 96.70 ± 71.60 days for rivastigmine users, and 104.15 ± 72.53 days for galantamine users. The Cox regression analysis showed that rivastigmine (adjusted hazard ratio [aHR] = 1.27; 95% confidence interval [CI], 1.20-1.34) was significantly associated with antipsychotic initiation compared with donepezil, whereas no significant difference was observed between galantamine and donepezil (aHR = 0.98; 95% CI, 0.81-1.20). CONCLUSION The study found a 27% increased risk of antipsychotic initiation among users of rivastigmine compared with donepezil users. There was no difference between galantamine and donepezil for antipsychotic initiation. Although the limitations of the study should be considered, the results suggest that donepezil or galantamine may be more appropriate treatments for older patients with dementia, to minimize antipsychotic use.
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Affiliation(s)
- Sanika Rege
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, Health and Biomedical Sciences Building 2, 4849 Calhoun Road, Houston, TX, 77204-5047, USA
| | - Ryan M Carnahan
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Michael L Johnson
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, Health and Biomedical Sciences Building 2, 4849 Calhoun Road, Houston, TX, 77204-5047, USA
| | - Hua Chen
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, Health and Biomedical Sciences Building 2, 4849 Calhoun Road, Houston, TX, 77204-5047, USA
| | - Holly M Holmes
- Division of Geriatric and Palliative Medicine, McGovern Medical School at UTHealth, Houston, TX, USA
| | - Rajender R Aparasu
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, Health and Biomedical Sciences Building 2, 4849 Calhoun Road, Houston, TX, 77204-5047, USA.
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Meyers DJ, Rahman M, Rivera‐Hernandez M, Trivedi AN, Mor V. Plan switching among Medicare Advantage beneficiaries with Alzheimer's disease and other dementias. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 7:e12150. [PMID: 33778149 PMCID: PMC7987817 DOI: 10.1002/trc2.12150] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 01/06/2021] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Patients with Alzheimer's disease and related dementias (ADRD) face substantial challenges in selecting, and remaining enrolled in, health insurance. Little is known about how patients with ADRD experience the Medicare Advantage (MA) program. METHODS We used, hospital, outpatient, and post-acute care data to identify MA beneficiaries with and without ADRD in 2014. Multinomial logit models estimated the percentage of people who disenrolled to traditional Medicare (TM) or switched to a different MA plan in 2015. RESULTS Among non-dually eligible beneficiaries, 9.0% (95% confidence interval [CI]: 8.0, 9.1) with ADRD disenrolled while 19.7% (95% CI: 19.6, 19.9) switched plans within MA compared to a disenrollment rate of 4.2% (95% CI: 4.2, 4.2) and switching rate of 22.8% (95% CI: 22.9, 22.8) for persons without ADRD. DISCUSSION MA enrollees with ADRD tend to disenroll at substantially higher rates than those without ADRD. This may be indicative of their care needs not being met in the program.
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Affiliation(s)
- David J. Meyers
- Department of Health Services, Policy, and PracticeBrown University School of Public HealthProvidenceRhode IslandUSA
- Center for Gerontology and Healthcare ResearchBrown University School of Public HealthProvidenceRhode IslandUSA
| | - Momotazur Rahman
- Department of Health Services, Policy, and PracticeBrown University School of Public HealthProvidenceRhode IslandUSA
- Center for Gerontology and Healthcare ResearchBrown University School of Public HealthProvidenceRhode IslandUSA
| | - Maricruz Rivera‐Hernandez
- Department of Health Services, Policy, and PracticeBrown University School of Public HealthProvidenceRhode IslandUSA
- Center for Gerontology and Healthcare ResearchBrown University School of Public HealthProvidenceRhode IslandUSA
| | - Amal N. Trivedi
- Department of Health Services, Policy, and PracticeBrown University School of Public HealthProvidenceRhode IslandUSA
- Center for Gerontology and Healthcare ResearchBrown University School of Public HealthProvidenceRhode IslandUSA
- Providence Veterans Affairs Medical CenterProvidenceRhode IslandUSA
| | - Vincent Mor
- Department of Health Services, Policy, and PracticeBrown University School of Public HealthProvidenceRhode IslandUSA
- Center for Gerontology and Healthcare ResearchBrown University School of Public HealthProvidenceRhode IslandUSA
- Providence Veterans Affairs Medical CenterProvidenceRhode IslandUSA
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25
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Sattui SE, Rajan M, Lieber SB, Lui G, Sterling M, Curtis JR, Mandl LA, Navarro-Millán I. Association of cardiovascular disease and traditional cardiovascular risk factors with the incidence of dementia among patients with rheumatoid arthritis. Semin Arthritis Rheum 2021; 51:292-298. [PMID: 33433365 DOI: 10.1016/j.semarthrit.2020.09.022] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 09/12/2020] [Accepted: 09/30/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To determine the incidence of dementia in patients with rheumatoid arthritis (RA) 65 years and older, and compare the incidence of dementia in patients with RA with prevalent cardiovascular (CV) disease (CVD), CV risk factors but no prevalent CVD and neither (referent group). METHODS We analyzed claims data from the Center for Medicare & Medicaid Services (CMS) from 2006-2014. Eligibility criteria included continuous medical and pharmacy coverage for ≥ 12 months (baseline period 2006), > 2 RA diagnoses by a rheumatologist and at least 1 medication for RA. CVD and CV risk factors were identified using codes from the Chronic Condition Data Warehouse. Incident dementia was defined by 1 inpatient or 2 outpatient claims, or one dementia specific medication. Age-adjusted incident rates were calculated within each age strata. Univariate and multivariate Cox proportional hazard models were used to calculate Hazard Ratios (HR) and 95% confidence intervals. RESULTS Among 56,567 patients with RA, 11,789 (20.1%) incident cases of dementia were included in the main analysis. Age adjusted incident rates were high among all groups and increased with age. After adjustment for age, sex, comorbidities and baseline CV and RA medications, patients with CVD and CV risk factors between 65 and 74 years had an increased risk for incident dementia compared to those without CVD and without CV risk factors (HR 1.18 (95% CI 1.04-1.33) and HR 1.03 (95% CI 1.00-1.11), respectively). We observed a trend towards increased risk in patients between 75 and 84 years with CVD at baseline. CONCLUSION Patients with RA with both CVD and CV risk factors alone are at an increased risk for dementia compared to those with neither CVD nor CV risk factors; however, this risk is attenuated with increasing age. The impact of RA treatment and CV primary prevention strategies in the prevention of dementia in patients with RA warrants further studies.
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Affiliation(s)
- Sebastian E Sattui
- Division of Rheumatology, Department of Medicine, Hospital for Special Surgery, New York, NY, United States
| | - Mangala Rajan
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Sarah B Lieber
- Division of Rheumatology, Department of Medicine, Hospital for Special Surgery, New York, NY, United States; Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Geyanne Lui
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Madeline Sterling
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Jeffrey R Curtis
- Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Lisa A Mandl
- Division of Rheumatology, Department of Medicine, Hospital for Special Surgery, New York, NY, United States; Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Iris Navarro-Millán
- Division of Rheumatology, Department of Medicine, Hospital for Special Surgery, New York, NY, United States; Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
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26
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Zhu CW, Sano M. Demographic, Health, and Exposure Risks Associated With Cognitive Loss, Alzheimer's Disease and Other Dementias in US Military Veterans. Front Psychiatry 2021; 12:610334. [PMID: 33716816 PMCID: PMC7947283 DOI: 10.3389/fpsyt.2021.610334] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 02/04/2021] [Indexed: 11/13/2022] Open
Abstract
The US military veteran population receiving care through the Veterans Health Administration (VHA) is particularly susceptible to cognitive impairment and dementias such as Alzheimer's disease and related dementias due to demographic, clinical, and economic factors. In this report we summarize the prevalence of dementia among US veterans and risks associated with AD and related dementias. We discuss the likelihood that these risks may be increasing in those about to enter the age in which dementias are common. We propose that VHA, the largest integrated health care system in the US, has shown promise in managing health risks that impact dementia prevention and propose further system wide approaches to be assessed for effective dementia prevention and care delivery.
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Affiliation(s)
- Carolyn W Zhu
- Icahn School of Medicine at Mount Sinai, New York, NY, United States.,James J. Peters VA Medical Center, Bronx, NY, United States
| | - Mary Sano
- Icahn School of Medicine at Mount Sinai, New York, NY, United States.,James J. Peters VA Medical Center, Bronx, NY, United States
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27
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McGrath R, Robinson-Lane SG, Clark BC, Suhr JA, Giordani BJ, Vincent BM. Self-Reported Dementia-Related Diagnosis Underestimates the Prevalence of Older Americans Living with Possible Dementia. J Alzheimers Dis 2021; 82:373-380. [PMID: 34024819 PMCID: PMC8943904 DOI: 10.3233/jad-201212] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Dementia screening is an important step for appropriate dementia-related referrals to diagnosis and treat possible dementia. OBJECTIVE We sought to estimate the prevalence of no reported dementia-related diagnosis in a nationally representative sample of older Americans with a cognitive impairment consistent with dementia (CICD). METHODS The weighted analytical sample included 6,036,224 Americans aged at least 65 years old that were identified as having a CICD without history of stroke, cancers, neurological conditions, or brain damage who participated in at least one-wave of the 2010-2016 Health and Retirement Study. The adapted Telephone Interview of Cognitive Status assessed cognitive functioning. Those with scores≤6 were considered as having a CICD. Healthcare provider dementia-related diagnosis was self-reported. Age, sex, educational achievement, and race and ethnicity were also self-reported. RESULTS The overall estimated prevalence of no reported dementia-related diagnosis for older Americans with a CICD was 91.4%(95%confidence interval (CI): 87.7%-94.1%). Persons with a CICD who identified as non-Hispanic black had a high prevalence of no reported dementia-related diagnosis (93.3%; CI: 89.8%-95.6%). The estimated prevalence of no reported dementia-related diagnosis was greater in males with a CICD (99.7%; CI: 99.6%-99.8%) than females (90.2%; CI: 85.6%-93.4%). Moreover, the estimated prevalence of no reported dementia-related diagnosis for non-high school graduates with a CICD was 93.5%(CI: 89.3%-96.1%), but 90.9%(CI: 84.7%-94.7%) for those with at least a high school education. CONCLUSION Dementia screening should be encouraged during routine geriatric health assessments. Continued research that evaluates the utility of self-reported dementia-related measures is also warranted.
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Affiliation(s)
- Ryan McGrath
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA,Fargo VA Healthcare System, Fargo, ND, USA
| | | | - Brian C. Clark
- Ohio Musculoskeletal and Neurological Institute, Ohio University, Athens, OH, USA,Department of Biomedical Sciences, Ohio University, Athens, OH, USA,Department of Geriatric Medicine, Ohio University, Athens, OH, USA
| | - Julie A. Suhr
- Ohio Musculoskeletal and Neurological Institute, Ohio University, Athens, OH, USA,Department of Psychology, Ohio University, Athens, OH, USA
| | - Bruno J. Giordani
- Department of Psychiatry, Neurology, and Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Brenda M. Vincent
- Department of Statistics, North Dakota State University, Fargo, ND, USA
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Briesacher BA, Koethe B, Olivieri-Mui B, Saczynski JS, Fick DM, Devlin JW, Marcantonio ER. Association of Positive Delirium Screening with Incident Dementia in Skilled Nursing Facilities. J Am Geriatr Soc 2020; 68:2931-2936. [PMID: 32965034 PMCID: PMC8114416 DOI: 10.1111/jgs.16830] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 07/27/2020] [Accepted: 08/11/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND OBJECTIVE Early detection of delirium in skilled nursing facilities (SNFs) is a priority. The extent to which delirium screening leads to a potentially inappropriate diagnosis of Alzheimer's disease and related dementia (ADRD) is unknown. DESIGN Nationwide retrospective cohort study from 2011 to 2013. SETTING An SNF. PARTICIPANTS A total of 1,175,550 Medicare enrollees who entered the SNF from a hospital and had no prior diagnosis of dementia. EXPOSURE A positive screen for delirium using the validated Confusion Assessment Method (CAM), performed as part of the federally mandated Minimum Data Set (MDS) assessment. MEASUREMENTS Incident all-cause dementia, ascertained through International Classification of Diseases, Ninth Revision (ICD-9), diagnosis in Medicare claims or active diagnoses in MDS. RESULTS Positive screening for delirium was identified in 7.7% of cases (n = 90,449), and most occurred within the first 7 days of SNF admission (62.5%). The overall incidence of ADRD was 6.3% (n = 73,542). Nearly all new diagnoses of ADRD (93.5%) occurred within the first 30 days of SNF admission. Patients who screened CAM positive for delirium had a nearly threefold increased risk of receiving an incident ADRD diagnosis on the same day (hazard ratio (HR) = 2.63; 95% confidence interval (CI) = 1.50-4.63). Among patients who screened CAM positive for delirium, those who were cognitively intact or had mild cognitive impairments were, on average, six times more likely to receive an incident ADRD diagnosis (HR = 6.64; 95% CI = 1.76-25.0) relative to those testing CAM negative. CONCLUSION AND RELEVANCE Among older adults not previously diagnosed with dementia, a positive screen for delirium was significantly associated with higher risk of ADRD diagnosis after admission to a SNF. This risk was highest for patients in the first days of their stay and with the least cognitive impairment, suggesting that the ADRD diagnosis was potentially inappropriate.
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Affiliation(s)
- Becky A. Briesacher
- Bouvé College of Health Sciences, School of Pharmacy, Northeastern University, Boston, Massachusetts
| | - Benjamin Koethe
- Bouvé College of Health Sciences, School of Pharmacy, Northeastern University, Boston, Massachusetts
| | - Brianne Olivieri-Mui
- Hebrew SeniorLife, The Marcus Institute for Aging Research, Harvard Medical School, Boston, Massachusetts
| | - Jane S. Saczynski
- Bouvé College of Health Sciences, School of Pharmacy, Northeastern University, Boston, Massachusetts
| | - Donna Marie Fick
- Penn State College of Nursing, Center of Geriatric Nursing Excellence, University Park, Pennsylvania
| | - John W. Devlin
- Bouvé College of Health Sciences, School of Pharmacy, Northeastern University, Boston, Massachusetts
| | - Edward R. Marcantonio
- Divisions of General Medicine and Gerontology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
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Jain S, Rosenbaum PR, Reiter JG, Hoffman G, Small DS, Ha J, Hill AS, Wolk DA, Gaulton T, Neuman MD, Eckenhoff RG, Fleisher LA, Silber JH. Using Medicare claims in identifying Alzheimer's disease and related dementias. Alzheimers Dement 2020; 17:10.1002/alz.12199. [PMID: 33090695 PMCID: PMC8296851 DOI: 10.1002/alz.12199] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 08/25/2020] [Accepted: 08/29/2020] [Indexed: 12/11/2022]
Abstract
INTRODUCTION This study develops a measure of Alzheimer's disease and related dementias (ADRD) using Medicare claims. METHODS Validation resembles the approach of the American Psychological Association, including (1) content validity, (2) construct validity, and (3) predictive validity. RESULTS We found that four items-a Medicare claim recording ADRD 1 year ago, 2 years ago, 3 years ago, and a total stay of 6 months in a nursing home-exhibit a pattern of association consistent with a single underlying ADRD construct, and presence of any two of these four items predict a direct measure of cognitive function and also future claims for ADRD. DISCUSSION Our four items are internally consistent with the measurement of a single quantity. The presence of any two items do a better job than a single claim when predicting both a direct measure of cognitive function and future ADRD claims.
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Affiliation(s)
- Siddharth Jain
- Center for Outcomes Research, Children’s Hospital of Philadelphia, Philadelphia, PA
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
| | - Paul R. Rosenbaum
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Department of Statistics, The Wharton School, The University of Pennsylvania, Philadelphia, PA
| | - Joseph G. Reiter
- Center for Outcomes Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Geoffrey Hoffman
- Department of Systems, Populations and Leadership, University of Michigan School of Nursing, Ann Arbor, MI, USA
- University of Michigan’s Institute for Healthcare Policy and Innovation, Ann Arbor, MI, USA
| | - Dylan S. Small
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Department of Statistics, The Wharton School, The University of Pennsylvania, Philadelphia, PA
| | - JinKyung Ha
- Division of Geriatrics/Institute of Gerontology, University of Michigan, Ann Arbor, MI, USA
| | - Alexander S. Hill
- Center for Outcomes Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - David A. Wolk
- Department of Neurology, The Perelman School of Medicine, The University of Pennsylvania
| | - Timothy Gaulton
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Center for Perioperative Outcomes Research and Transformation, The University of Pennsylvania, Philadelphia, PA
- Department of Anesthesiology and Critical Care, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Mark D. Neuman
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Center for Perioperative Outcomes Research and Transformation, The University of Pennsylvania, Philadelphia, PA
- Department of Anesthesiology and Critical Care, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Roderic G. Eckenhoff
- Department of Anesthesiology and Critical Care, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Lee A. Fleisher
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Center for Perioperative Outcomes Research and Transformation, The University of Pennsylvania, Philadelphia, PA
- Department of Anesthesiology and Critical Care, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Jeffrey H. Silber
- Center for Outcomes Research, Children’s Hospital of Philadelphia, Philadelphia, PA
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Department of Anesthesiology and Critical Care, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- The Departments of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Health Care Management, The Wharton School, The University of Pennsylvania, Philadelphia, PA
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Lei L, Intrator O, Conwell Y, Fortinsky RH, Cai S. Continuity of care and health care cost among community-dwelling older adult veterans living with dementia. Health Serv Res 2020; 56:378-388. [PMID: 32812658 DOI: 10.1111/1475-6773.13541] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVES To estimate the causal impact of continuity of care (COC) on total, institutional, and noninstitutional cost among community-dwelling older veterans with dementia. DATA SOURCES Combined Veterans Health Administration (VHA) and Medicare data in Fiscal Years (FYs) 2014-2015. STUDY DESIGN FY 2014 COC was measured by the Bice-Boxerman Continuity of Care (BBC) index on a 0-1 scale. FY 2015 total combined VHA and Medicare cost, institutional cost of acute inpatient, emergency department [ED], long-/short-stay nursing home, and noninstitutional long-term care (LTC) cost for medical (like skilled-) and social (like unskilled-) services were assessed controlling for covariates. An instrumental variable for COC (change of residence by more than 10 miles) was used to account for unobserved health confounders. DATA COLLECTION Community-dwelling veterans with dementia aged 66 and older, enrolled in Traditional Medicare (N = 102 073). PRINCIPAL FINDINGS Mean BBC in FY 2014 was 0.32; mean total cost in FY 2015 was $35 425. A 0.1 higher BBC resulted in (a) $4045 lower total cost; (b) $1597 lower acute inpatient cost, $119 lower ED cost, $4368 lower long-stay nursing home cost; (c) $402 higher noninstitutional medical LTC and $764 higher noninstitutional social LTC cost. BBC had no impact on short-stay nursing home cost. CONCLUSIONS COC is an effective approach to reducing total health care cost by supporting noninstitutional care and reducing institutional care.
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Affiliation(s)
- Lianlian Lei
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.,Geriatrics & Extended Care Data Analysis Center (GECDAC), Canandaigua VA Medical Center, Canandaigua, New York
| | - Orna Intrator
- Geriatrics & Extended Care Data Analysis Center (GECDAC), Canandaigua VA Medical Center, Canandaigua, New York.,Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Yeates Conwell
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Richard H Fortinsky
- Center on Aging, University of Connecticut School of Medicine, Farmington, Connecticut
| | - Shubing Cai
- Geriatrics & Extended Care Data Analysis Center (GECDAC), Canandaigua VA Medical Center, Canandaigua, New York.,Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York
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31
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Zhu CW, Ornstein KA, Cosentino S, Gu Y, Andrews H, Stern Y. Medicaid Contributes Substantial Costs to Dementia Care in an Ethnically Diverse Community. J Gerontol B Psychol Sci Soc Sci 2020; 75:1527-1537. [PMID: 31425587 PMCID: PMC7424274 DOI: 10.1093/geronb/gbz108] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES The main objective of this study was to estimate effects of dementia on Medicaid expenditures in an ethnically diverse community. METHODS The sample included 1,211 Medicare beneficiaries who did not have any Medicaid coverage and 568 who additionally had full Medicaid coverage enrolled in the Washington Heights-Inwood Columbia Aging Project (WHICAP), a multiethnic, population-based, prospective study of cognitive aging in northern Manhattan (1999-2010). Individuals' dementia status was determined using a rigorous clinical protocol. Relationship between dementia and Medicaid coverage and expenditures were estimated using a two-part model. RESULTS In participants who had full Medicaid coverage, average annual Medicaid expenditures were substantially higher for those with dementia than those without dementia ($50,270 vs. $21,966, p < .001), but Medicare expenditures did not differ by dementia status ($8,458 vs. $9,324, p = .19). In participants who did not have any Medicaid coverage, average annual Medicare expenditures were substantially higher for those with dementia than those without dementia ($12,408 vs. $8,113, p = .02). In adjusted models, dementia was associated with a $6,278 increase in annual Medicaid spending per person after controlling for other characteristics. DISCUSSION Results highlight Medicaid's contribution to covering the cost of dementia care in addition to Medicare. Studies that do not include Medicaid are unlikely to accurately reflect the true cost of dementia.
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Affiliation(s)
- Carolyn W Zhu
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
- James J Peters VA Medical Center, Bronx, New York
| | - Katherine A Ornstein
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Stephanie Cosentino
- Cognitive Neuroscience Division of the Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, New York
| | - Yian Gu
- Cognitive Neuroscience Division of the Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, New York
| | - Howard Andrews
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
| | - Yaakov Stern
- Cognitive Neuroscience Division of the Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, New York
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Khalid S, Sambamoorthi U, Innes KE. Non-Cancer Chronic Pain Conditions and Risk for Incident Alzheimer's Disease and Related Dementias in Community-Dwelling Older Adults: A Population-Based Retrospective Cohort Study of United States Medicare Beneficiaries, 2001-2013. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E5454. [PMID: 32751107 PMCID: PMC7432104 DOI: 10.3390/ijerph17155454] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 07/13/2020] [Accepted: 07/23/2020] [Indexed: 01/02/2023]
Abstract
Accumulating evidence suggests that certain chronic pain conditions may increase risk for incident Alzheimer's disease and related dementias (ADRD). Rigorous longitudinal research remains relatively sparse, and the relation of overall chronic pain condition burden to ADRD risk remains little studied, as has the potential mediating role of sleep and mood disorders. In this retrospective cohort study, we investigated the association of common non-cancer chronic pain conditions (NCPC) at baseline to subsequent risk for incident ADRD, and assessed the potential mediating effects of mood and sleep disorders, using baseline and 2-year follow-up data using 11 pooled cohorts (2001-2013) drawn from the U.S. Medicare Current Beneficiaries Survey (MCBS). The study sample comprised 16,934 community-dwelling adults aged ≥65 and ADRD-free at baseline. NCPC included: headache, osteoarthritis, joint pain, back or neck pain, and neuropathic pain, ascertained using claims data; incident ADRD (N = 1149) was identified using claims and survey data. NCPC at baseline remained associated with incident ADRD after adjustment for sociodemographics, lifestyle characteristics, medical history, medications, and other factors (adjusted odds ratio (AOR) for any vs. no NCPC = 1.21, 95% confidence interval (CI) = 1.04-1.40; p = 0.003); the strength and magnitude of this association rose significantly with increasing number of diagnosed NCPCs (AOR for 4+ vs. 0 conditions = 1.91, CI = 1.31-2.80, p-trend < 0.00001). Inclusion of sleep disorders and/or depression/anxiety modestly reduced these risk estimates. Sensitivity analyses yielded similar findings. NCPC was significantly and positively associated with incident ADRD; this association may be partially mediated by mood and sleep disorders. Additional prospective studies with longer-term follow-up are warranted to confirm and extend our findings.
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Affiliation(s)
- Sumaira Khalid
- Department of Epidemiology, West Virginia University School of Public Health, Morgantown, WV 26506, USA;
| | - Usha Sambamoorthi
- Department of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Morgantown, WV 26506, USA;
| | - Kim E. Innes
- Department of Epidemiology, West Virginia University School of Public Health, Morgantown, WV 26506, USA;
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Bayliss EA, Shetterly SM, Drace ML, Norton J, Green AR, Reeve E, Weffald LA, Wright L, Maciejewski ML, Sheehan OC, Wolff JL, Gleason KS, Kraus C, Maiyani M, Du Vall M, Boyd CM. The OPTIMIZE patient- and family-centered, primary care-based deprescribing intervention for older adults with dementia or mild cognitive impairment and multiple chronic conditions: study protocol for a pragmatic cluster randomized controlled trial. Trials 2020; 21:542. [PMID: 32552857 PMCID: PMC7301527 DOI: 10.1186/s13063-020-04482-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 06/06/2020] [Indexed: 12/03/2022] Open
Abstract
Background Most individuals with dementia or mild cognitive impairment (MCI) have multiple chronic conditions (MCC). The combination leads to multiple medications and complex medication regimens and is associated with increased risk for significant treatment burden, adverse drug events, cognitive changes, hospitalization, and mortality. Optimizing medications through deprescribing (the process of reducing or stopping the use of inappropriate medications or medications unlikely to be beneficial) may improve outcomes for MCC patients with dementia or MCI. Methods With input from patients, family members, and clinicians, we developed and piloted a patient-centered, pragmatic intervention (OPTIMIZE) to educate and activate patients, family members, and primary care clinicians about deprescribing as part of optimal medication management for older adults with dementia or MCI and MCC. The clinic-based intervention targets patients on 5 or more medications, their family members, and their primary care clinicians using a pragmatic, cluster-randomized design at Kaiser Permanente Colorado. The intervention has two components: a patient/ family component focused on education and activation about the potential value of deprescribing, and a clinician component focused on increasing clinician awareness about options and processes for deprescribing. Primary outcomes are total number of chronic medications and total number of potentially inappropriate medications (PIMs). We estimate that approximately 2400 patients across 9 clinics will receive the intervention. A comparable number of patients from 9 other clinics will serve as wait-list controls. We have > 80% power to detect an average decrease of − 0.70 (< 1 medication). Secondary outcomes include the number of PIM starts, dose reductions for selected PIMs (benzodiazepines, opiates, and antipsychotics), rates of adverse drug events (falls, hemorrhagic events, and hypoglycemic events), ability to perform activities of daily living, and skilled nursing facility, hospital, and emergency department admissions. Discussion The OPTIMIZE trial will examine whether a primary care-based, patient- and family-centered intervention educating patients, family members, and clinicians about deprescribing reduces numbers of chronic medications and PIMs for older adults with dementia or MCI and MCC. Trial registration NCT03984396. Registered on 13 June 2019
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Affiliation(s)
- E A Bayliss
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA. .,Department of Family Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
| | - S M Shetterly
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - M L Drace
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - J Norton
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - A R Green
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - E Reeve
- Quality Use of Medicines and Pharmacy Research Centre, UniSA: Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia.,Geriatric Medicine Research, Faculty of Medicine, and College of Pharmacy, Dalhousie University and Nova Scotia Health Authority, Halifax, NS, Canada
| | - L A Weffald
- Department of Clinical Pharmacy, Kaiser Permanente Colorado, Aurora, CO, USA
| | - L Wright
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - M L Maciejewski
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham, Veterans Affairs Medical Center, Durham, NC, USA.,Department of Population Health Sciences, Duke University Medical Center, Durham, NC, USA
| | - O C Sheehan
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - J L Wolff
- School of Public Health, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - K S Gleason
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - C Kraus
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - M Maiyani
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - M Du Vall
- Department of Clinical Pharmacy, Kaiser Permanente Colorado, Aurora, CO, USA
| | - C M Boyd
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Lin PJ, Emerson J, Faul JD, Cohen JT, Neumann PJ, Fillit HM, Daly AT, Margaretos N, Freund KM. Racial and Ethnic Differences in Knowledge About One's Dementia Status. J Am Geriatr Soc 2020; 68:1763-1770. [PMID: 32282058 DOI: 10.1111/jgs.16442] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 03/02/2020] [Accepted: 03/09/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To examine racial and ethnic differences in knowledge about one's dementia status. DESIGN Prospective cohort study. SETTING The 2000 to 2014 Health and Retirement Study. PARTICIPANTS Our sample included 8,686 person-wave observations representing 4,065 unique survey participants, aged 70 years or older, with dementia, as identified by a well-validated statistical prediction model based on individual demographic and clinical characteristics. MEASUREMENTS Primary outcome measure was knowledge of one's dementia status, as reported in the survey. Patient characteristics included race/ethnicity, age, sex, survey year, cognition, function, comorbidity, and whether living in a nursing home. RESULTS Among subjects identified as having dementia by the prediction model, 43.5% to 50.2%, depending on the survey year, reported that they were informed of the dementia status by their physician. This proportion was lower among Hispanics (25.9%-42.2%) and non-Hispanic blacks (31.4%-50.5%) than among non-Hispanic whites (47.7%-52.9%). Our fully adjusted regression model indicated lower dementia awareness among non-Hispanic blacks (odds ratio [OR] = 0.74; 95% confidence interval [CI] = 0.58-0.94) and Hispanics (OR = 0.60; 95% CI = 0.43-0.85), compared to non-Hispanic whites. Having more instrumental activity of daily living limitations (OR = 1.65; 95% CI = 1.56-1.75) and living in a nursing home (OR = 2.78; 95% CI = 2.32-3.32) were associated with increased odds of subjects reporting being told about dementia by a physician. CONCLUSION Less than half of individuals with dementia reported being told by a physician about the condition. A higher proportion of non-Hispanic blacks and Hispanics with dementia may be unaware of their condition, despite higher dementia prevalence in these groups, compared to non-Hispanic whites. Dementia outreach programs should target diverse communities with disproportionately high disease prevalence and low awareness. J Am Geriatr Soc 68:1763-1770, 2020.
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Affiliation(s)
- Pei-Jung Lin
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
| | - Joanna Emerson
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Joshua T Cohen
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
| | - Peter J Neumann
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
| | - Howard M Fillit
- Alzheimer's Drug Discovery Foundation, New York, New York, USA
| | - Allan T Daly
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
| | - Nikoletta Margaretos
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
| | - Karen M Freund
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center and Tufts University School of Medicine, Boston, Massachusetts, USA
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35
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Lee E, Gatz M, Tseng C, Schneider LS, Pawluczyk S, Wu AH, Deapen D. Evaluation of Medicare Claims Data as a Tool to Identify Dementia. J Alzheimers Dis 2020; 67:769-778. [PMID: 30689589 DOI: 10.3233/jad-181005] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Medicare claims record linkage has been used to identify diagnosed dementia cases in order to estimate dementia prevalence and cost of care. Claims records in the 1990 s and early 2000 s have been found to provide 85% - ∼90% sensitivity and specificity. OBJECTIVE Considering that dementia awareness has improved over time, we sought to examine sensitivity and specificity of more recent Medicare claims records against a standard criterion, clinical diagnosis of dementia. METHODS For a sample of patients evaluated at the University of Southern California Alzheimer Disease Research Center (ADRC), we performed database linkage with Medicare claims files for a six-year period, 2007-2012. We used clinical diagnosis at the ADRC as the criterion diagnosis in order to calculate sensitivity and specificity. RESULTS Medicare claims correctly identified 85% of dementia patients and 77% of individuals with normal cognition. About half of patients clinically diagnosed with mild cognitive impairment had dementia diagnoses in Medicare claims. Misclassified dementia patients (i.e., missed diagnosis by Medicare claims) had more favorable Mini-Mental State Examination and Clinical Dementia Rating scores and were less likely to present behavioral symptoms than correctly-classified dementia patients. CONCLUSIONS Database linkage to Medicare claims records is an efficient and reasonably accurate tool to identify dementia cases in a population-based cohort. However, possibilities of obtaining biased results due to misclassification of dementia status need to be carefully considered to use Medicare claims diagnosis for etiologic research studies. Additional confirmation of dementia diagnosis may also be considered. A larger study is warranted to confirm our findings.
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Affiliation(s)
- Eunjung Lee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Margaret Gatz
- USC Dornsife Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Chiuchen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lon S Schneider
- USC Davis School of Gerontology, Los Angeles, CA, USA.,Department of Neurology, Keck School of Medicine of USC, Los Angeles, CA, USA.,Department of Psychiatry and the Behavioral Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Sonia Pawluczyk
- Department of Psychiatry and the Behavioral Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Dennis Deapen
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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36
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Kirson NY, Meadows ES, Desai U, Smith BP, Cheung HC, Zuckerman P, Matthews BR. Temporal and Geographic Variation in the Incidence of Alzheimer's Disease Diagnosis in the US between 2007 and 2014. J Am Geriatr Soc 2019; 68:346-353. [PMID: 31797361 DOI: 10.1111/jgs.16262] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 09/13/2019] [Accepted: 09/17/2019] [Indexed: 01/22/2023]
Abstract
OBJECTIVES Our aim was to describe the incidence of Alzheimer's disease (AD) in the United States, overall and by geographic region. DESIGN We conducted retrospective analyses of administrative claims data for a 5% random sample of US Medicare beneficiaries aged 65 years or older. AD incidence, defined as a diagnosis for AD (International Classification of Disease, Ninth Revision, Clinical Modification code 331.0×) in a given year, with no AD diagnosis in the beneficiary's entire medical history, was estimated for each calendar year between 2007 and 2014. Beneficiaries were required to be enrolled in Medicare for the calendar year of evaluation as well as the preceding 12 months. In addition, a cross-sectional assessment of geographic variation in AD incidence was conducted for 2014. For each population area (specifically, core-based statistical area, as defined by the US Census Bureau), AD incidence was estimated overall, as well as adjusted for differences in underlying patient demographics and metrics of access to care and quality of care. Changes in AD incidence from 2007 were also estimated. SETTING US fee-for-service Medicare. PARTICIPANTS US Medicare beneficiaries aged 65 years or older with no history of AD. RESULTS Overall, the diagnosed incidence of AD decreased over time, from 1.53% in 2007 to 1.09% in 2014; trends were similar for most population areas. In 2014, the rates of AD incidence ranged from 0% to more than 3% across population areas, with the highest observed incidence rates in areas of the Midwest and the South. Statistical models explain little of the geographic variation, although following adjustment, the incidence rates increased the most (in relative terms) in rural areas of western states. CONCLUSION Our findings are consistent with previously reported estimates of incidence of AD in the United States and its recent declining trend. Additionally, the study highlights the considerable geographic variation in the incidence of AD in the United States and suggests that further research is needed to better understand the determinants of this geographic variation. J Am Geriatr Soc 68:346-353, 2020.
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Affiliation(s)
| | | | - Urvi Desai
- Analysis Group, Inc., Boston, Massachusetts
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37
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Deardorff WJ, Liu PL, Sloane R, Van Houtven C, Pieper CF, Hastings SN, Cohen HJ, Whitson HE. Association of Sensory and Cognitive Impairment With Healthcare Utilization and Cost in Older Adults. J Am Geriatr Soc 2019; 67:1617-1624. [PMID: 30924932 PMCID: PMC6684393 DOI: 10.1111/jgs.15891] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 02/22/2019] [Accepted: 02/22/2019] [Indexed: 01/08/2023]
Abstract
OBJECTIVES To examine the association between self-reported vision impairment (VI), hearing impairment (HI), and dual-sensory impairment (DSI), stratified by dementia status, on hospital admissions, hospice use, and healthcare costs. DESIGN Retrospective analysis. SETTING Medicare Current Beneficiary Survey from 1999 to 2006. PARTICIPANTS Rotating panel of community-dwelling Medicare beneficiaries, aged 65 years and older (N = 24 009). MEASUREMENTS VI and HI were ascertained by self-report. Dementia status was determined by self-report or diagnosis codes in claims data. Primary outcomes included any inpatient admission over a 2-year period, hospice use over a 2-year period, annual Medicare fee-for-service costs, and total healthcare costs (which included information from Medicare claims data and other self-reported payments). RESULTS Self-reported DSI was present in 30.2% (n = 263/871) of participants with dementia and 17.8% (n = 4112/23 138) of participants without dementia. In multivariable logistic regression models, HI, VI, or DSI was generally associated with increased odds of hospitalization and hospice use regardless of dementia status. In a generalized linear model adjusted for demographics, annual total healthcare costs were greater for those with DSI and dementia compared to those with DSI without dementia ($28 875 vs $3340, respectively). Presence of any sensory impairment was generally associated with higher healthcare costs. In a model adjusted for demographics, Medicaid status, and chronic medical conditions, DSI compared with no sensory impairment was associated with a small, but statistically significant, difference in total healthcare spending in those without dementia ($1151 vs $1056; P < .001) but not in those with dementia ($11 303 vs $10 466; P = .395). CONCLUSION Older adults with sensory and cognitive impairments constitute a particularly prevalent and vulnerable population who are at increased risk of hospitalization and contribute to higher healthcare spending. J Am Geriatr Soc 67:1617-1624, 2019.
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Affiliation(s)
| | - Phillip L. Liu
- Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Richard Sloane
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC
| | - Courtney Van Houtven
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Carl F. Pieper
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC
| | - Susan Nicole Hastings
- Department of Medicine, Duke University School of Medicine, Durham, NC
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Geriatrics Research Education and Clinical Center, Durham VA Health Care System, Durham, NC
| | - Harvey J. Cohen
- Department of Medicine, Duke University School of Medicine, Durham, NC
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC
| | - Heather E. Whitson
- Department of Medicine, Duke University School of Medicine, Durham, NC
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC
- Geriatrics Research Education and Clinical Center, Durham VA Health Care System, Durham, NC
- Department of Ophthalmology, Duke University School of Medicine, Durham, NC
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Chen Y, Wilson L, Kornak J, Dudley RA, Merrilees J, Bonasera SJ, Byrne CM, Lee K, Chiong W, Miller BL, Possin KL. The costs of dementia subtypes to California Medicare fee-for-service, 2015. Alzheimers Dement 2019; 15:899-906. [PMID: 31175026 PMCID: PMC7183386 DOI: 10.1016/j.jalz.2019.03.015] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 03/18/2019] [Accepted: 03/25/2019] [Indexed: 01/05/2023]
Abstract
INTRODUCTION Dementia is among the costliest of medical conditions, but it is not known how these costs vary by dementia subtype. METHODS The effect of dementia diagnosis subtype on direct health care costs and utilization was estimated using 2015 California Medicare fee-for-service data. Potential drivers of increased costs in Lewy body dementia (LBD), in comparison to Alzheimer's disease, were tested. RESULTS 3,001,987 Medicare beneficiaries were identified, of which 8.2% had a dementia diagnosis. Unspecified dementia was the most common diagnostic category (59.6%), followed by Alzheimer's disease (23.2%). LBD was the costliest subtype to Medicare, on average, followed by vascular dementia. The higher costs in LBD were explained in part by falls, urinary incontinence or infection, depression, anxiety, dehydration, and delirium. DISCUSSION Dementia subtype is an important predictor of health care costs. Earlier identification and targeted treatment might mitigate the costs associated with co-occurring conditions in LBD.
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Affiliation(s)
- Yingjia Chen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Leslie Wilson
- Department of Clinical Pharmacy, University of California, San Francisco, San Francisco, CA, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - John Kornak
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - R Adams Dudley
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Jennifer Merrilees
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA; Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Stephen J Bonasera
- Division of Geriatrics, Department of Internal Medicine, Home Instead Center for Successful Aging, University of Nebraska Medical Center, Omaha, NE, USA
| | - Christie M Byrne
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Kirby Lee
- Department of Clinical Pharmacy, University of California, San Francisco, San Francisco, CA, USA
| | - Winston Chiong
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA; Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Katherine L Possin
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA; Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA.
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Abstract
PURPOSE Identification of Alzheimer disease and related dementias (ADRD) subtypes is important for pharmacologic treatment and care planning, yet inaccuracies in dementia diagnoses make ADRD subtypes hard to identify and characterize. The objectives of this study were to (1) develop a method to categorize ADRD cases by subtype and (2) characterize and compare the ADRD subtype populations by demographic and other characteristics. METHODS We identified cases of ADRD occurring during 2008 to 2014 from the OptumLabs Database using diagnosis codes and antidementia medication fills. We developed a categorization algorithm that made use of temporal sequencing of diagnoses and provider type. RESULTS We identified 36,838 individuals with ADRD. After application of our algorithm, the largest proportion of cases were nonspecific dementia (41.2%), followed by individuals with antidementia medication but no ADRD diagnosis (15.6%). Individuals with Alzheimer disease formed 10.2% of cases. Individuals with vascular dementia had the greatest burden of comorbid disease. Initial documentation of dementia occurred primarily in the office setting (35.1%). DISCUSSION Our algorithm identified 6 dementia subtypes and three additional categories representing unique diagnostic patterns in the data. Differences and similarities between groups provided support for the approach and offered unique insight into ADRD subtype characteristics.
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Zhu CW, Ornstein KA, Cosentino S, Gu Y, Andrews H, Stern Y. Misidentification of Dementia in Medicare Claims and Related Costs. J Am Geriatr Soc 2018; 67:269-276. [PMID: 30315744 DOI: 10.1111/jgs.15638] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2018] [Revised: 09/04/2018] [Accepted: 09/04/2018] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To examine how misidentification of dementia affects estimation of Medicare costs in a largely minority cohort of participants for whom accurate in-person diagnoses are available. DESIGN Prospective cohort study. SETTING Washington Heights-Inwood Columbia Aging Project, a multiethnic, population-based, prospective study of cognitive aging of Medicare beneficiaries aged 65 and older. PARTICIPANTS Individuals clinically diagnosed with dementia (n=495) and individuals clinically diagnosed without dementia (n=1,701). MEASUREMENTS Medicare claims-identified dementia was defined according to the presence of any International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes for Alzheimer's disease and related dementias in all available claims during the study period. Participant characteristics associated with claims misidentification of dementia were estimated using logistic regression. Effects of dementia misidentification on Medicare expenditures were estimated using generalized linear models. RESULTS Medicare claims correctly identified 250 of the 495 (51%) dementia cases and 1,565 of the 1,701 (92%) nondementia cases. Sensitivity of claims-identified dementia was 0.51, and specificity was 0.92. Average annual Medicare expenditures were $14,721 for a beneficiary with a clinical diagnosis of dementia, and $18,208 for a beneficiary with claim-identified dementia, suggesting an overestimation of $3,487 per person per year when Medicare claims were used to identify dementia. Total annual expenditures for all beneficiaries with claims-identified dementia were $258,707 lower than that for all those who were clinically diagnosed, suggesting an overall underestimation of total Medicare expenditures if Medicare claims were used to identify dementia. Different types of misidentification have different effects on dementia-related cost estimates. Average annual expenditures per person were highest for false positives. CONCLUSION Misidentification of dementia in Medicare claims is common. Using claims to identify dementia may result in significantly biased estimates of the cost of dementia. J Am Geriatr Soc 67:269-276, 2019.
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Affiliation(s)
- Carolyn W Zhu
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.,James J. Peters Veterans Affairs Medical Center, Bronx, New York
| | - Katherine A Ornstein
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Stephanie Cosentino
- Cognitive Neuroscience Division, Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, New York
| | - Yian Gu
- Cognitive Neuroscience Division, Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, New York
| | - Howard Andrews
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, New York
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Lei L, Cooley SG, Phibbs CS, Kinosian B, Allman RM, Porsteinsson AP, Intrator O. Attributable Cost of Dementia: Demonstrating Pitfalls of Ignoring Multiple Health Care System Utilization. Health Serv Res 2018; 53 Suppl 3:5331-5351. [PMID: 30246404 DOI: 10.1111/1475-6773.13048] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVES To determine dementia prevalence and costs attributable to dementia using Veterans Health Administration (VHA) data with and without Medicare data. DATA SOURCES VHA inpatient, outpatient, purchased care and other data and Medicare enrollment, claims, and assessments in fiscal year (FY) 2013. STUDY DESIGN Analyses were conducted with VHA data alone and with combined VHA and Medicare data. Dementia was identified from a VHA sanctioned list of ICD-9 diagnoses. Attributable cost of dementia was estimated using recycled predictions. DATA COLLECTION Veterans age 65 and older who used VHA and were enrolled in Traditional Medicare in FY 2013 (1.9 million). PRINCIPAL FINDINGS VHA records indicated the prevalence of dementia in FY 2013 was 4.8 percent while combined VHA and Medicare data indicated the prevalence was 7.4 percent. Attributable cost of dementia to VHA was, on average, $10,950 per veteran per year (pvpy) using VHA alone and $6,662 pvpy using combined VHA and Medicare data. Combined VHA and Medicare attributable cost of dementia was $11,285 pvpy. Utilization attributed to dementia using VHA data alone was lower for long-term institutionalization and higher for supportive care services than indicated in combined VHA and Medicare data. CONCLUSIONS Better planning for clinical and cost-efficient care requires VHA and Medicare to share data for veterans with dementia and likely more generally.
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Affiliation(s)
- Lianlian Lei
- VHA Office Geriatrics & Extended Care Data Analysis Center (GECDAC), Washington, DC.,Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY
| | - Susan G Cooley
- VHA Office Geriatrics & Extended Care, U.S. Dept. Veterans Affairs, Washington, DC
| | - Ciaran S Phibbs
- VHA Office Geriatrics & Extended Care Data Analysis Center (GECDAC), Washington, DC.,Health Economics Resource Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA.,Department of Pediatrics-Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA
| | - Bruce Kinosian
- VHA Office Geriatrics & Extended Care Data Analysis Center (GECDAC), Washington, DC.,Division of Geriatrics, University of Pennsylvania, Philadelphia, PA
| | | | - Anton P Porsteinsson
- Department of Psychiatry, University of Rochester School ofMedicine and Dentistry, Rochester, NY
| | - Orna Intrator
- VHA Office Geriatrics & Extended Care Data Analysis Center (GECDAC), Washington, DC.,Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY
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Zhu CW, Cosentino S, Ornstein KA, Gu Y, Andrews H, Stern Y. Interactive Effects of Dementia Severity and Comorbidities on Medicare Expenditures. J Alzheimers Dis 2018; 57:305-315. [PMID: 28222520 DOI: 10.3233/jad-161077] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Few studies have examined how dementia and comorbidities may interact to affect healthcare expenditures. OBJECTIVE To examine whether effects of dementia severity on Medicare expenditures differed for individuals with different levels of comorbidities. METHODS Data are drawn from the Washington Heights-Inwood Columbia Aging Project (WHICAP). Comprehensive clinical assessments of dementia severity were systematically carried out at ∼18 month intervals. Dementia severity was measured by Clinical Dementia Rating (CDR). Comorbidities were measured by a modified Elixhauser comorbidities index. Generalized linear models examined effects of dementia severity, comorbidities, and their interactions on Medicare expenditures (1999-2010). RESULTS At baseline, 1,280 subjects were dementia free (CDR = 0, 66.4%), 490 had very mild dementia (CDR = 0.5, 25.4%), 108 had mild dementia (CDR = 1, 5.6%), and 49 had moderate/severe dementia (CDR = 2/3, 2.5%). Average annual Medicare expenditures for individuals with moderate/severe dementia were more than twice as high as those who were dementia free (CDR = 0: $9,108, CDR = 0.5/1: $11,664, CDR≥2: $19,604, p < 0.01). Expenditures were approximately 10 times higher among those with≥3 comorbidities than among those with no comorbidities ($2,612 for those with no comorbidities, to $6,109 for those with 1, $10,656 for those with 2, and $30,244 for those with≥3 comorbidities, p < 0.001). Dementia severity was associated with higher expenditures, but comorbidities were the most important predictor of expenditures. We did not find strong interaction effects between number of comorbidities and dementia severity. CONCLUSIONS Increasing dementia severity and higher comorbidities are associated with higher Medicare expenditures. Care of individuals with dementia should focus on management of comorbidities.
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Affiliation(s)
- Carolyn W Zhu
- Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,James J Peters VA Medical Center, Bronx, NY, USA
| | - Stephanie Cosentino
- Cognitive Neuroscience Division of the Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Katherine A Ornstein
- Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yian Gu
- Cognitive Neuroscience Division of the Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Howard Andrews
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Yaakov Stern
- Cognitive Neuroscience Division of the Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
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Faes K, Cohen J, Annemans L. Resource Use During the Last 6 Months of Life of Individuals Dying with and of Alzheimer's Disease. J Am Geriatr Soc 2018; 66:879-885. [DOI: 10.1111/jgs.15287] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Revised: 12/27/2017] [Accepted: 12/27/2017] [Indexed: 12/19/2022]
Affiliation(s)
- Kristof Faes
- Department of Public HealthInteruniversity Center for Health Economic Research, Ghent UniversityGhent Belgium
- Department of Family Medicine and Chronic CareEnd‐of‐Life Care Research Group, Vrije Universiteit Brussel and Ghent UniversityBrussels Belgium
| | - Joachim Cohen
- Department of Family Medicine and Chronic CareEnd‐of‐Life Care Research Group, Vrije Universiteit Brussel and Ghent UniversityBrussels Belgium
| | - Lieven Annemans
- Department of Public HealthInteruniversity Center for Health Economic Research, Ghent UniversityGhent Belgium
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Daras LC, Feng Z, Wiener JM, Kaganova Y. Medicare Expenditures Associated With Hospital and Emergency Department Use Among Beneficiaries With Dementia. INQUIRY : A JOURNAL OF MEDICAL CARE ORGANIZATION, PROVISION AND FINANCING 2017; 54:46958017696757. [PMID: 28301976 PMCID: PMC5798704 DOI: 10.1177/0046958017696757] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Revised: 01/16/2017] [Accepted: 01/25/2017] [Indexed: 02/05/2023]
Abstract
Understanding expenditure patterns for hospital and emergency department (ED) use among individuals with dementia is crucial to controlling Medicare spending. We analyzed Health and Retirement Study data and Medicare claims, stratified by beneficiaries' residence and proximity to death, to estimate Medicare expenditures for all-cause and potentially avoidable hospitalizations and ED visits. Analysis was limited to the Medicare fee-for-service population age 65 and older. Compared with people without dementia, community residents with dementia had higher average expenditures for hospital and ED services; nursing home residents with dementia had lower average expenditures for all-cause hospitalizations. Decedents with dementia had lower expenditures than those without dementia in the last year of life. Medicare expenditures for individuals with and without dementia vary by residential setting and proximity to death. Results highlight the importance of addressing the needs specific to the population with dementia. There are many initiatives to reduce hospital admissions, but few focus on people with dementia.
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Goodman RA, Lochner KA, Thambisetty M, Wingo TS, Posner SF, Ling SM. Prevalence of dementia subtypes in United States Medicare fee-for-service beneficiaries, 2011-2013. Alzheimers Dement 2017; 13:28-37. [PMID: 27172148 PMCID: PMC5104686 DOI: 10.1016/j.jalz.2016.04.002] [Citation(s) in RCA: 224] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Accepted: 04/06/2016] [Indexed: 11/22/2022]
Abstract
INTRODUCTION Rapid growth of the older adult population requires greater epidemiologic characterization of dementia. We developed national prevalence estimates of diagnosed dementia and subtypes in the highest risk United States (US) population. METHODS We analyzed Centers for Medicare & Medicaid administrative enrollment and claims data for 100% of Medicare fee-for-service beneficiaries enrolled during 2011-2013 and age ≥68 years as of December 31, 2013 (n = 21.6 million). RESULTS Over 3.1 million (14.4%) beneficiaries had a claim for a service and/or treatment for any dementia subtype. Dementia not otherwise specified was the most common diagnosis (present in 92.9%). The most common subtype was Alzheimer's (43.5%), followed by vascular (14.5%), Lewy body (5.4%), frontotemporal (1.0%), and alcohol induced (0.7%). The prevalence of other types of diagnosed dementia was 0.2%. DISCUSSION This study is the first to document concurrent prevalence of primary dementia subtypes among this US population. The findings can assist in prioritizing dementia research, clinical services, and caregiving resources.
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Affiliation(s)
- Richard A Goodman
- National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Prevention and Control, Atlanta, GA, USA; Department of Family and Preventive Medicine, Emory University School of Medicine, Atlanta, GA, USA.
| | | | - Madhav Thambisetty
- Clinical and Translational Neuroscience Unit, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Thomas S Wingo
- Department of Neurology and Human Genetics, Emory University School of Medicine, Atlanta, GA, USA; Division of Neurology, Atlanta VA Medical Center, Atlanta, GA, USA
| | - Samuel F Posner
- National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Prevention and Control, Atlanta, GA, USA
| | - Shari M Ling
- Centers for Medicare & Medicaid Services, Baltimore, MD, USA
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Amjad H, Carmichael D, Austin AM, Chang CH, Bynum JPW. Continuity of Care and Health Care Utilization in Older Adults With Dementia in Fee-for-Service Medicare. JAMA Intern Med 2016; 176:1371-8. [PMID: 27454945 PMCID: PMC5061498 DOI: 10.1001/jamainternmed.2016.3553] [Citation(s) in RCA: 126] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
IMPORTANCE Poor continuity of care may contribute to high health care spending and adverse patient outcomes in dementia. OBJECTIVE To examine the association between medical clinician continuity and health care utilization, testing, and spending in older adults with dementia. DESIGN, SETTING, AND PARTICIPANTS This was a study of an observational retrospective cohort from the 2012 national sample in fee-for-service Medicare, conducted from July to December 2015, using inverse probability weighted analysis. A total of 1 416 369 continuously enrolled, community-dwelling, fee-for-service Medicare beneficiaries 65 years or older with a claims-based dementia diagnosis and at least 4 ambulatory visits in 2012 were included. EXPOSURES Continuity of care score measured on patient visits across physicians over 12 months. A higher continuity score is assigned to visit patterns in which a larger share of the patient's total visits are with fewer clinicians. Score range from 0 to 1 was examined in low-, medium-, and high-continuity tertiles. MAIN OUTCOMES AND MEASURES Outcomes include all-cause hospitalization, ambulatory care sensitive condition hospitalization, emergency department visit, imaging, and laboratory testing (computed tomographic [CT] scan of the head, chest radiography, urinalysis, and urine culture), and health care spending (overall, hospital and skilled nursing facility, and physician). RESULTS Beneficiaries with dementia who had lower levels of continuity of care were younger, had a higher income, and had more comorbid medical conditions. Almost 50% of patients had at least 1 hospitalization and emergency department visit during the year. Utilization was lower with increasing level of continuity. Specifically comparing the highest- vs lowest-continuity groups, annual rates per beneficiary of hospitalization (0.83 vs 0.88), emergency department visits (0.84 vs 0.99), CT scan of the head (0.71 vs 0.83), urinalysis (0.72 vs 1.09), and health care spending (total spending, $22 004 vs $24 371) were higher with lower continuity even after accounting for sociodemographic factors and comorbidity burden (P < .001 for all comparisons). The rate of ambulatory care sensitive condition hospitalization was similar across continuity groups. CONCLUSIONS AND RELEVANCE Among older fee-for-service Medicare beneficiaries with a dementia diagnosis, lower continuity of care is associated with higher rates of hospitalization, emergency department visits, testing, and health care spending. Further research into these relationships, including potentially relevant clinical, clinician, and systems factors, can inform whether improving continuity of care in this population may benefit patients and the wider health system.
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Affiliation(s)
- Halima Amjad
- Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Donald Carmichael
- The Dartmouth Institute for Health Policy and Clinical Practice, Hanover, New Hampshire
| | - Andrea M Austin
- The Dartmouth Institute for Health Policy and Clinical Practice, Hanover, New Hampshire
| | - Chiang-Hua Chang
- The Dartmouth Institute for Health Policy and Clinical Practice, Hanover, New Hampshire
| | - Julie P W Bynum
- The Dartmouth Institute for Health Policy and Clinical Practice, Hanover, New Hampshire3Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
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Lu ZK, Li M, McGee K, Phillips CM, Yuan J, Sutton SS. The impact of dementia on antidiabetic drug use in Medicare beneficiaries with diabetes: findings post-Medicare part D. J Comp Eff Res 2016; 5:383-92. [PMID: 27302883 DOI: 10.2217/cer-2015-0006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
AIM The objectives of the study were to measure the utilization rates of antidiabetic drugs in diabetic patients with dementia and to assess the impact of dementia on antidiabetic drug use. MATERIALS & METHODS This study was a pooled cross-sectional study of the Medicare Current Beneficiaries Survey from 2006 to 2010. RESULTS & CONCLUSION Lower utilizations of biguanides, DPP-4 inhibitors and thiazolidinediones were observed in dementia patients. The likelihood of using antidiabetic drugs was about 30% (odds ratio: 0.69; 95% CI: 0.56-0.84) lower in dementia patients and 40% (odds ratio: 0.61; 95% CI: 0.44-0.84) lower in patients with Alzheimer's disease. Healthcare providers should be aware of underuse of antidiabetic drugs in patients with dementia.
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Affiliation(s)
- Z Kevin Lu
- Department of Clinical Pharmacy & Outcomes Sciences, South Carolina College of Pharmacy, University of South Carolina, 715 Sumter Street, Columbia, SC 29208, USA
| | - Minghui Li
- Department of Clinical Pharmacy & Outcomes Sciences, South Carolina College of Pharmacy, University of South Carolina, 715 Sumter Street, Columbia, SC 29208, USA
| | - Karen McGee
- Department of Clinical Pharmacy & Outcomes Sciences, South Carolina College of Pharmacy, University of South Carolina, 715 Sumter Street, Columbia, SC 29208, USA
| | - Cynthia M Phillips
- Department of Clinical Pharmacy & Outcomes Sciences, South Carolina College of Pharmacy, University of South Carolina, 715 Sumter Street, Columbia, SC 29208, USA
| | - Jing Yuan
- Department of Clinical Pharmacy & Outcomes Sciences, South Carolina College of Pharmacy, University of South Carolina, 715 Sumter Street, Columbia, SC 29208, USA
| | - S Scott Sutton
- Department of Clinical Pharmacy & Outcomes Sciences, South Carolina College of Pharmacy, University of South Carolina, 715 Sumter Street, Columbia, SC 29208, USA
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Lin PJ, Zhong Y, Fillit HM, Chen E, Neumann PJ. Medicare Expenditures of Individuals with Alzheimer's Disease and Related Dementias or Mild Cognitive Impairment Before and After Diagnosis. J Am Geriatr Soc 2016; 64:1549-57. [DOI: 10.1111/jgs.14227] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Pei-Jung Lin
- Center for the Evaluation of Value and Risk in Health; Institute for Clinical Research and Health Policy Studies; Tufts Medical Center; Boston Massachusetts
| | - Yue Zhong
- Center for the Evaluation of Value and Risk in Health; Institute for Clinical Research and Health Policy Studies; Tufts Medical Center; Boston Massachusetts
| | - Howard M. Fillit
- The Alzheimer's Drug Discovery Foundation and the Icahn School of Medicine at Mount Sinai; New York New York
| | - Er Chen
- U.S. Medical Affairs; Genentech; South San Francisco California
| | - Peter J. Neumann
- Center for the Evaluation of Value and Risk in Health; Institute for Clinical Research and Health Policy Studies; Tufts Medical Center; Boston Massachusetts
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Abstract
Multimorbidity is common among older adults with heart failure and creates diagnostic and management challenges. Diagnosis of heart failure may be difficult, as many conditions commonly found in older persons produce dyspnea, exercise intolerance, fatigue, and weakness; no singular pathognomonic finding or diagnostic test differentiates them from one another. Treatment may also be complicated, as multimorbidity creates high potential for drug-disease and drug-drug interactions in settings of polypharmacy. The authors suggest that management of multimorbid older persons with heart failure be patient, rather than disease-focused, to best meet patients' unique health goals and minimize risk from excessive or poorly-coordinated treatments.
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Zuckerman RB, Stearns SC, Sheingold SH. Hospice Use, Hospitalization, and Medicare Spending at the End of Life. J Gerontol B Psychol Sci Soc Sci 2015; 71:569-80. [PMID: 26655645 DOI: 10.1093/geronb/gbv109] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Accepted: 10/26/2015] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Prior studies associate hospice use with reduced hospitalization and spending at the end of life based on all Medicare hospice beneficiaries. In this study, we examine the impact of different lengths of hospice care and nursing home residency on hospital use and spending prior to death across 5 disease groups. METHODS We compared inpatient hospital days and Medicare spending during the last 6 months of life using hospice versus propensity matched non-hospice beneficiaries who died in 2010, were enrolled in fee for service Medicare throughout the last 2 years of life, and were in at least 1 of 5 disease groups. Comparisons were based on length of hospice use and whether the decedent was in a nursing home during the seventh month prior to death. We regressed a categorical measure of hospice days on outcomes, controlling for observed patient characteristics. RESULTS Hospice use over 2 weeks was associated with decreased hospital days (1-5 days overall, with greater decreases for longer hospice use) for all beneficiaries; spending was $900-$5,000 less for hospice use of 31-90 days for most beneficiaries not in nursing homes, except beneficiaries with Alzheimer's. Overall spending decreased with hospice use for beneficiaries in nursing homes with lung cancer only, with a $3,500 reduction. DISCUSSION The Medicare hospice benefit is associated with reduced hospital care at the end of life and reduced Medicare expenditures for most enrollees. Policies that encourage timely initiation of hospice and discourage extremely short stays could increase these successes while maintaining program goals.
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Affiliation(s)
- Rachael B Zuckerman
- Office of Health Policy, Office of the Assistant Secretary for Planning and Evaluation, United States Department of Health and Human Services, Washington, District of Columbia. Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
| | - Sally C Stearns
- Department of Health Policy and Management, The University of North Carolina at Chapel Hill, Chapel Hill
| | - Steven H Sheingold
- Office of Health Policy, Office of the Assistant Secretary for Planning and Evaluation, United States Department of Health and Human Services, Washington, District of Columbia
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