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Nothelle S, Kleijwegt H, Bollens-Lund E, Covinsky K, Ankuda C. The effect of dementia on patterns of healthcare use in older adults with diabetes. J Am Geriatr Soc 2024; 72:2391-2401. [PMID: 38819620 PMCID: PMC11323160 DOI: 10.1111/jgs.19010] [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: 01/20/2024] [Revised: 05/01/2024] [Accepted: 05/04/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND For persons with diabetes, incidence of dementia has been associated with increased hospitalization; however, little is known about healthcare use preceding and following incident dementia. We describe healthcare utilization in the 3 years pre- and post-incident dementia among older adults with diabetes. METHODS We used the National Health and Aging Trends Study (NHATS) linked to Medicare fee-for-service claims from 2011 to 2018. We included community-dwelling adults ≥65 years who had diabetes without dementia. We matched older adults with dementia (identified with validated NHATS algorithm) at the year of incident dementia to controls using coarsened exact matching. We examined annual outpatient visits, emergency department (ED) visits, hospitalization, and post-acute skilled nursing facility (SNF) use 3 years preceding and 3 years following dementia onset. RESULTS We included 195 older adults with diabetes with incident dementia and 1107 controls. Groups had a similar age (81.6 vs 81.7 years) and were 56.4% female. Persons with dementia were more likely to be of minority racial and ethnic groups (26.7% vs 21.3% Black, non-Hispanic, 15.3% vs 6.7% other race or Hispanic). We observed a larger decrease in outpatient visits among persons with dementia, primarily due to decreasing specialty visits (mean outpatient visits: 3 years pre-dementia/matching 6.8 (SD 2.6) dementia vs 6.4 (SD 2.6) controls, p < 0.01 to 3 years post-dementia/matching 4.6 (SD 2.3) dementia vs 5.5 (SD 2.7) controls, p < 0.01). Hospitalization, ED visits, and post-acute SNF use were higher for persons with dementia and rose in both groups (e.g., ED visits 3 years pre-dementia/matching 3.9 (SD 5.4) dementia vs 2.2 (SD 4.8) controls, p < 0.001; 3 years post-dementia/matching 4.5 (SD 4.7) dementia vs 3.5 (SD 6.1) controls, p = 0.04). CONCLUSIONS Older adults with diabetes with incident dementia have higher rates of acute and post-acute care use, but decreasing outpatient use over time, primarily due to a decrease in specialty visits.
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Affiliation(s)
- Stephanie Nothelle
- Division of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hannah Kleijwegt
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Evan Bollens-Lund
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kenneth Covinsky
- Division of Geriatrics, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Claire Ankuda
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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O'Brien K, Coykendall C, Kleid M, Harkins K, Chin N, Clapp JT, Karlawish J. Determinants of Plasma Alzheimer's Disease Biomarker Use by Primary Care Providers and Dementia Specialists. J Gen Intern Med 2024; 39:1713-1720. [PMID: 38169023 PMCID: PMC11255148 DOI: 10.1007/s11606-023-08583-9] [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: 08/17/2023] [Accepted: 12/14/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND The efficiencies of plasma Alzheimer's disease (AD) biomarkers could facilitate early AD diagnosis. Unfortunately, limited knowledge exists about whether and how they would be used by clinicians. OBJECTIVE To identify and compare determinants of plasma AD biomarker use reported by primary care providers and dementia specialists. DESIGN Semi-structured interviews with clinicians organized using Rogers' Diffusion of Innovations theory and analyzed using an iterative coding approach. PARTICIPANTS The subjects were internal and family medicine, neurology, and geriatrics providers with varying degrees of expertise in dementia diagnosis and care. MAIN MEASURES Factors influencing a clinician's decision to use or not use plasma AD biomarkers in clinical practice. KEY RESULTS We interviewed 30 clinicians (16 family or internal medicine providers, 8 geriatricians, and 6 neurologists). Fifteen were dementia specialists. Hesitance to use plasma AD biomarkers was due to perceived lack of effective treatments for AD, limited access to supports, and stigma. Plasma AD biomarkers would be more readily adopted by clinicians with dementia expertise. CONCLUSIONS Several factors will influence clinical use of plasma AD biomarkers. Some of them may inform the design of interventions to promote the effective and appropriate clinical translation of these tests.
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Affiliation(s)
- Kyra O'Brien
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. kyra.o'
| | - Cameron Coykendall
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Melanie Kleid
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kristin Harkins
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Nathaniel Chin
- University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Justin T Clapp
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jason Karlawish
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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Barthold D, Jiang S, Basu A, Phelan EA, Thielke S, Borson S, Fendrick AM. Utilization of low- and high-value health care by individuals with and without cognitive impairment. THE AMERICAN JOURNAL OF MANAGED CARE 2024; 30:316-323. [PMID: 38995830 PMCID: PMC11429857 DOI: 10.37765/ajmc.2024.89580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/14/2024]
Abstract
OBJECTIVES Cognitive impairment and dementia have rising prevalence and impact the health care utilization and lives of older adults. Receipt of low-value (LV) care and underutilization of high-value (HV) care by individuals with these cognitive disorders may have negative consequences for patient health, health system efficiency, and societal welfare. Evidence on health care value among cognitively impaired individuals is limited; we thus ascertained receipt of LV and HV health care in older adults with normal cognition, cognitive impairment without dementia (CIND), and dementia. STUDY DESIGN Retrospective cohort study of Health and Retirement Study data linked to Medicare claims (1996-2018). METHODS We examined the association between cognitive decline and the receipt of 5 LV and 7 HV services vs individuals with no change in cognition. RESULTS Receipt of LV care ranged from 4% to 13% regardless of cognitive status. Cognitive decline (from unimpaired to either CIND or dementia) was associated with decreased probability of receipt of 1 LV service (colorectal cancer screening at 85 years and older [5-percentage-point reduction; P = .047]) and 3 HV services (glucose-lowering drugs [7-percentage-point reduction; P = .029], statins [32-percentage-point reduction; P = .045], and antiresorptive therapy [61-percentage-point reduction; P = .019]). CONCLUSIONS LV service receipt is wasteful and may be harmful, but it was not consistently associated with cognitive status. Lack of HV care for those with cognitive impairment could be a missed opportunity to improve well-being or reduce preventable adverse events. Our results suggest opportunities for improving the quality of care received by all older adults, including those with cognitive impairment.
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Affiliation(s)
- Douglas Barthold
- The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, 1959 NE Pacific St, Box 357630, Seattle, WA 98195.
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Xue L, Napoleone JM, Winger ME, Boudreau RM, Cauley JA, Donohue JM, Newman AB, Waters TM, Strotmeyer ES. Medicare Fee-For-Service Spending for Fall Injury and Nonfall Events: The Health, Aging, and Body Composition Study. Innov Aging 2024; 8:igae051. [PMID: 38939652 PMCID: PMC11208929 DOI: 10.1093/geroni/igae051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Indexed: 06/29/2024] Open
Abstract
Background and Objectives Fall injuries are prevalent in older adults, yet whether higher spending occurs after nonfracture (NFFI) and fracture is unknown. We examined whether incident fall injuries, including NFFI and fractures, were associated with higher Medicare spending in 12 months after incident events in older adults. Research Design and Methods The Health, Aging, and Body Composition Study included 1 595 community-dwelling adults (53% women, 37% Black; 76.7 ± 2.9 years) with linked Medicare Fee-For-Service (FFS) claims at 2000/01 exam. Incident outpatient and inpatient fall injuries (N = 448) from 2000/01 exam to December 31, 2008 were identified using the first claim with a nonfracture injury diagnosis code with a fall E-code, or a fracture diagnosis code with/without an E-code. Up to 3 participants without fall injuries (N = 1 147) were matched on nonfall events to 448 participants in the fall injury month. We calculated the change in monthly FFS spending in 12 months before versus after index events in both groups. Generalized linear regression with centered outcomes and gamma distributions examined the association of prepost expenditure changes with fall injuries (including NFFI and fractures) adjusting for related covariates. Results Monthly spending increased after versus before fall injuries (USD$2 261 vs $981), nonfracture (N = 105; USD$2 083 vs $1 277), and fracture (N = 343; USD$2 315 vs $890) injuries (all p < .0001). However, after adjusting for covariates in final models, fall injuries were not significantly associated with larger increases in spending/month versus nonfall events (differential increase: USD$399.58 [95% CI: -USD$44.95 to $844.11]). Fracture prepost change in monthly spending was similar versus NFFI (differential increase: USD$471.93 [95% CI: -USD$21.17 to $965.02]). Discussion and Implications Although substantial increases occurred after injuries, with fracture and NFFI increasing similarly, changes in monthly spending after fall injury were not different compared to nonfall events. Our results contribute to the understanding of subsequent spending after fall injury that may inform further research on fall injury-related health care spending.
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Affiliation(s)
- Lingshu Xue
- Department of Health Policy and Management, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Mary E Winger
- Department of Health Economics, UPMC Insurance Services Division, Pittsburgh, Pennsylvania, USA
| | - Robert M Boudreau
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jane A Cauley
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Julie M Donohue
- Department of Health Policy and Management, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Anne B Newman
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Teresa M Waters
- Institute for Public and Preventive Health, Augusta University, Augusta, Georgia, USA
| | - Elsa S Strotmeyer
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Jacobson M, Ferido P, Zissimopoulos J. Health care utilization before and after a dementia diagnosis in Medicare Advantage versus traditional Medicare. J Am Geriatr Soc 2024; 72:1856-1866. [PMID: 37668467 PMCID: PMC10912367 DOI: 10.1111/jgs.18570] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/12/2023] [Accepted: 08/03/2023] [Indexed: 09/06/2023]
Abstract
BACKGROUND Half of all Medicare beneficiaries are enrolled in Medicare Advantage (MA). Many studies document lower care utilization and mortality in MA than traditional Medicare (TM), but evidence for persons with Alzheimer's disease and related dementias (ADRD) is limited. METHODS We conducted a retrospective cohort study of 2015-2018 Medicare claims and encounter data for community-dwelling beneficiaries aged 65 and over in TM and MA with an incident ADRD diagnosis in 2017. We compared monthly hospitalization rates and outpatient visits 12 months before and after diagnosis and mortality 1 year from diagnosis. Models adjusted for sociodemographic characteristics and comorbidities. Sensitivity analyses addressed residual confounding using a control group with incident arthritis/glaucoma or excluding MA Special Needs Plans, and potential underreporting by restricting to MA plans with high data completeness. RESULTS Among 454,508 beneficiaries diagnosed with ADRD in 2017, 250,837 (55%) were in TM and 203,671 (45%) in MA. Four to 12 months before diagnosis, monthly hospitalizations and outpatient visits were similar in TM and MA. In the diagnosis month, 36.5% of beneficiaries in TM had a hospitalization compared with 25.4% in MA, an adjusted difference of 10.7 percentage points [95% CI: 10.3, 11.1]. Beneficiaries in TM averaged 10.5 outpatient visits in the diagnosis month compared with 8.4 in MA, an adjusted difference of 1.59 visits [95% CI: 1.47-1.70]. Utilization differences narrowed but remained higher in TM for many months. One-year mortality was 27.9% in TM and 22.2% in MA; an adjusted odds ratio of 1.152 [95% CI: 1.135-1.169] for those in TM compared with MA. Controlling for hospitalization in the diagnosis month substantially reduced the mortality difference. CONCLUSION Hospitalization rates and outpatient visits increased more after an ADRD diagnosis in TM than MA. One-year post-diagnosis, mortality was not higher in MA than TM but comparisons of quality of life and caregiver burden are needed.
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Affiliation(s)
- Mireille Jacobson
- Andrus School of Gerontology & Schaeffer Center, University of Southern California
| | - Patricia Ferido
- Price School of Public Policy & Schaeffer Center, University of Southern California
| | - Julie Zissimopoulos
- Price School of Public Policy & Schaeffer Center, University of Southern California
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Ingannato A, Bagnoli S, Mazzeo S, Giacomucci G, Bessi V, Ferrari C, Sorbi S, Nacmias B. Plasma GFAP, NfL and pTau 181 detect preclinical stages of dementia. Front Endocrinol (Lausanne) 2024; 15:1375302. [PMID: 38654932 PMCID: PMC11035722 DOI: 10.3389/fendo.2024.1375302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
Background Plasma biomarkers are preferable to invasive and expensive diagnostic tools, such as neuroimaging and lumbar puncture that are gold standard in the clinical management of Alzheimer's Disease (AD). Here, we investigated plasma Glial Fibrillary Acidic Protein (GFAP), Neurofilament Light Chain (NfL) and Phosphorylated-tau-181 (pTau 181) in AD and in its early stages: Subjective cognitive decline (SCD) and Mild cognitive impairment (MCI). Material and methods This study included 152 patients (42 SCD, 74 MCI and 36 AD). All patients underwent comprehensive clinical and neurological assessment. Blood samples were collected for Apolipoprotein E (APOE) genotyping and plasma biomarker (GFAP, NfL, and pTau 181) measurements. Forty-three patients (7 SCD, 27 MCI, and 9 AD) underwent a follow-up (FU) visit after 2 years, and a second plasma sample was collected. Plasma biomarker levels were detected using the Simoa SR-X technology (Quanterix Corp.). Statistical analysis was performed using SPSS software version 28 (IBM SPSS Statistics). Statistical significance was set at p < 0.05. Results GFAP, NfL and pTau 181 levels in plasma were lower in SCD and MCI than in AD patients. In particular, plasma GFAP levels were statistically significant different between SCD and AD (p=0.003), and between MCI and AD (p=0.032). Plasma NfL was different in SCD vs MCI (p=0.026), SCD vs AD (p<0.001), SCD vs AD FU (p<0.001), SCD FU vs AD (p=0.033), SCD FU vs AD FU (p=0.011), MCI vs AD (p=0.002), MCI FU vs AD (p=0.003), MCI FU vs AD FU (p=0.003) and MCI vs AD FU (p=0.003). Plasma pTau 181 concentration was significantly different between SCD and AD (p=0.001), MCI and AD (p=0.026), MCI FU and AD (p=0.020). In APOE ϵ4 carriers, a statistically significant increase in plasma NfL (p<0.001) and pTau 181 levels was found (p=0.014). Moreover, an association emerged between age at disease onset and plasma GFAP (p = 0.021) and pTau181 (p < 0.001) levels. Discussion and conclusions Plasma GFAP, NfL and pTau 181 are promising biomarkers in the diagnosis of the prodromic stages and prognosis of dementia.
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Affiliation(s)
- Assunta Ingannato
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Salvatore Mazzeo
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Donato, San Donato Milanese, Italy
| | - Giulia Giacomucci
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Valentina Bessi
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Camilla Ferrari
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Fondazione Don Carlo Gnocchi, Florence, Italy
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Olchanski N, Zhu Y, Liang L, Cohen JT, Faul JD, Fillit HM, Freund KM, Lin PJ. Racial and ethnic differences in disease course Medicare expenditures for beneficiaries with dementia. J Am Geriatr Soc 2024; 72:1223-1233. [PMID: 38504583 PMCID: PMC11018481 DOI: 10.1111/jgs.18822] [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: 06/26/2023] [Revised: 01/16/2024] [Accepted: 01/28/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND Research on racial and ethnic disparities in costs of care during the course of dementia is sparse. We analyzed Medicare expenditures for beneficiaries with dementia to identify when during the course of care costs are the highest and whether they differ by race and ethnicity. METHODS We analyzed data from the 2000-2016 Health and Retirement Study (HRS) linked with corresponding Medicare claims to estimate total Medicare expenditures for four phases: (1) the year before a dementia diagnosis, (2) the first year following a dementia diagnosis, (3) ongoing care for dementia after the first year, and (4) the last year of life. We estimated each patient's phase-specific and disease course Medicare expenditures by using a race-specific survival model and monthly expenditures adjusted for patient characteristics. We investigated healthcare utilization by service type across races/ethnicities and phases of care. RESULTS Adjusted mean total Medicare expenditures for non-Hispanic (NH) Black ($165,730) and Hispanic beneficiaries with dementia ($160,442) exceeded corresponding expenditures for NH Whites ($136,326). In the year preceding and immediately following initial dementia diagnosis, mean Medicare expenditures for NH Blacks ($26,337 and $20,429) exceeded expenditures for Hispanics and NH Whites ($21,399-23,176 and 17,182-18,244). The last year of life was responsible for the greatest cost contribution: $51,294 (NH Blacks), $47,469 (Hispanics), and $39,499 (NH Whites). These differences were driven by greater use of high-cost services (e.g., emergency department, inpatient and intensive care), especially during the last year of life. CONCLUSIONS NH Black and Hispanic beneficiaries with dementia had higher disease course Medicare expenditures than NH Whites. Expenditures were highest for NH Black beneficiaries in every phase of care. Further research should address mechanisms of such disparities and identify methods to improve communication, shared decision-making, and access to appropriate services for all populations.
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Affiliation(s)
- Natalia Olchanski
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
- Department of Medicine, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Yingying Zhu
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
| | - Lichen Liang
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, 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
- Department of Medicine, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Howard M Fillit
- Alzheimer's Drug Discovery Foundation, New York, New York, USA
| | - Karen M Freund
- Department of Medicine, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - 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
- Department of Medicine, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 182] [Impact Index Per Article: 182.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Armenta-Castro A, Núñez-Soto MT, Rodriguez-Aguillón KO, Aguayo-Acosta A, Oyervides-Muñoz MA, Snyder SA, Barceló D, Saththasivam J, Lawler J, Sosa-Hernández JE, Parra-Saldívar R. Urine biomarkers for Alzheimer's disease: A new opportunity for wastewater-based epidemiology? ENVIRONMENT INTERNATIONAL 2024; 184:108462. [PMID: 38335627 DOI: 10.1016/j.envint.2024.108462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 01/16/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024]
Abstract
While Alzheimer's disease (AD) diagnosis, management, and care have become priorities for healthcare providers and researcher's worldwide due to rapid population aging, epidemiologic surveillance efforts are currently limited by costly, invasive diagnostic procedures, particularly in low to middle income countries (LMIC). In recent years, wastewater-based epidemiology (WBE) has emerged as a promising tool for public health assessment through detection and quantification of specific biomarkers in wastewater, but applications for non-infectious diseases such as AD remain limited. This early review seeks to summarize AD-related biomarkers and urine and other peripheral biofluids and discuss their potential integration to WBE platforms to guide the first prospective efforts in the field. Promising results have been reported in clinical settings, indicating the potential of amyloid β, tau, neural thread protein, long non-coding RNAs, oxidative stress markers and other dysregulated metabolites for AD diagnosis, but questions regarding their concentration and stability in wastewater and the correlation between clinical levels and sewage circulation must be addressed in future studies before comprehensive WBE systems can be developed.
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Affiliation(s)
| | - Mónica T Núñez-Soto
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | - Kassandra O Rodriguez-Aguillón
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Alberto Aguayo-Acosta
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Mariel Araceli Oyervides-Muñoz
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Shane A Snyder
- Nanyang Environment & Water Research Institute (NEWRI), Nanyang Technological University, Singapore
| | - Damià Barceló
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research, IDAEA-CSIC, Jordi Girona, 18-26, 08034 Barcelona, Spain; Sustainability Cluster, School of Engineering at the UPES, Dehradun, Uttarakhand, India
| | - Jayaprakash Saththasivam
- Water Center, Qatar Environment & Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Qatar
| | - Jenny Lawler
- Water Center, Qatar Environment & Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Qatar
| | - Juan Eduardo Sosa-Hernández
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico.
| | - Roberto Parra-Saldívar
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
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Bozzay ML, Joyce HE, Jiang L, De Vito AN, Emrani S, Browne J, Bayer TA, Quinn MJ, Primack JM, Kelso CM, Wu WC, Rudolph JL, McGeary JE, Kunicki ZJ. Time to Dementia Diagnosis Among Veterans with Comorbid Insomnia and Depressive Episodes. J Alzheimers Dis 2024; 100:899-909. [PMID: 38995783 DOI: 10.3233/jad-240080] [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: 07/14/2024]
Abstract
Background Older adults with heart failure are at elevated risk of Alzheimer's disease and related dementias (AD/ADRD). Research suggests that insomnia and depressive episodes contribute somewhat dissociable impacts on risk for AD/ADRD in this patient population, although the temporal ordering of effects is unknown. Objective This study examined time to dementia diagnosis among patients with comorbid insomnia and/or depressive episodes in an epidemiological sample. Methods Secondary data analyses were conducted using a cohort study of 203,819 Veterans with a primary admission diagnosis of heart failure in 129 VA Medical Centers. Results Patients with diagnoses of both insomnia and depressive episodes had the shortest time to a dementia diagnosis at both 1-year (Hazard ratio = 1.43, 95% CI [1.36, 1.51]) and 3-year follow-up time points (Hazard ratio = 1.40, 95% CI [1.34, 1.47]) versus patients with one or neither comorbidity. Conclusions Individuals with both comorbidities had the shortest time to dementia onset. Screening for these comorbidities may help to identify patients at elevated risk of dementia who could benefit from enhanced monitoring or early intervention strategies for more rapid detection and management of dementia symptoms.
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Affiliation(s)
- Melanie L Bozzay
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | | | - Lan Jiang
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
| | - Alyssa N De Vito
- Butler Hospital, Providence, RI, USA
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Sheina Emrani
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Julia Browne
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Thomas A Bayer
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA
| | - McKenzie J Quinn
- VA RR& D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, USA
| | - Jennifer M Primack
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Catherine M Kelso
- VA RR& D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, USA
- Veterans Health Administration, Office of Patient Care Services, Geriatrics and Extended Care, Washington, DC, USA
| | - Wen-Chih Wu
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
| | - James L Rudolph
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA
| | - John E McGeary
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Zachary J Kunicki
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
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Alkhawaldeh A, Alsaraireh M, ALBashtawy M, Rayan A, Khatatbeh M, Alshloul M, Aljezawi M, ALBashtawy S, Musa A, Abdalrahim A, Khraisat O, AL-Bashaireh A, ALBashtawy Z, Alhroub N. Assessment of Cognitive Impairment and Related Factors Among Elderly People in Jordan. IRANIAN JOURNAL OF NURSING AND MIDWIFERY RESEARCH 2024; 29:120-124. [PMID: 38333338 PMCID: PMC10849287 DOI: 10.4103/ijnmr.ijnmr_169_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 08/08/2023] [Accepted: 10/06/2023] [Indexed: 02/10/2024]
Abstract
Background With an increase in elderly people, it is essential to address the issue of cognitive impairment and support healthy aging. This study aimed to assess cognitive impairment and factors associated with it among older adults. Materials and Methods A cross-sectional study was carried out in different catchment areas within the Jerash governorate in the north of Jordan. The Elderly Cognitive Assessment Questionnaire (ECAQ) and a household face-to-face interview were used to collect data from 220 older adult participants aged 60 years and more. Descriptive statistics were conducted to describe the study variables. Correlation tests were applied to find associations between them. Logistic regression analysis was applied, with a minimum significance level (p < 0.05). Results About 9.10% of the older adults had cognitive impairment. Cognitive impairment was correlated with age, self-perceived health, hypertension, stroke, and mental illness. The primary predictors of cognitive impairment were age [odds ratio (OR) =1.07 (1.01-1.14), p = 0.001] and stroke [OR = 10.92 (1.44-82.85), p = 0.001]. Conclusions While many factors were correlated with cognitive impairment, the strongest predictors of cognitive impairment were age and stroke.
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Affiliation(s)
- Abdullah Alkhawaldeh
- Department of Community and Mental Health Nursing, Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan
| | - Mahmoud Alsaraireh
- Department of Nursing, Princess Aisha Bint Al Hussein College of Nursing and Health Sciences, Al-Hussain Bin Talal University, Ma’an, Jordan
| | - Mohammed ALBashtawy
- Department of Community and Mental Health Nursing, Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan
| | - Ahmad Rayan
- Department of Nursing, Faculty of Nursing, Zarqa University, Zarqa, Jordan
| | - Moawiah Khatatbeh
- Al-Balqa Applied University, Prince Al Hussein Bin Abdullah II Academy for Civil Protection, Amman, Jordan
| | | | - Ma’en Aljezawi
- Department of Community and Mental Health Nursing, Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan
| | - Sa’d ALBashtawy
- Department of Nursing, Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan
| | - Ahmad Musa
- Faculty of Nursing, Al-Ahliyya Amman University, Amman, Jordan
| | - Asem Abdalrahim
- Department of Community and Mental Health Nursing, Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan
| | - Omar Khraisat
- Faculty of Health Sciences, Higher College of Technology, Abu Dhabi, United Arab Emirates
| | - Ahmad AL-Bashaireh
- Department of Public Health, Faculty of Medicine, Yarmouk University, Irbid, Jordan
| | - Zaid ALBashtawy
- Al-Balqa Applied University, Prince Al Hussein Bin Abdullah II Academy for Civil Protection, Amman, Jordan
| | - Nisser Alhroub
- Department of Nursing, Faculty of Nursing, Jerash University, Jerash, Jordan
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Tsang CCS, Sim Y, Christensen ML, Wang J. Effects of Part D Star Ratings on racial and ethnic disparities in health care costs. EXPLORATORY RESEARCH IN CLINICAL AND SOCIAL PHARMACY 2023; 9:100250. [PMID: 37091627 PMCID: PMC10113890 DOI: 10.1016/j.rcsop.2023.100250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 03/21/2023] [Accepted: 03/21/2023] [Indexed: 03/31/2023] Open
Abstract
Background Racial/ethnic minorities are less likely than non-Hispanic White (White) patients to be included in the Medicare Part D Star Ratings measure assessment due to the restrictive inclusion criteria for the measures. Objective This paper examined the effects of racial/ethnic disparities in the measure assessment in Part D Star Ratings on disparities in healthcare costs among patients with Alzheimer's disease and related dementias (ADRD). Methods This cross-sectional study analyzed 2017 Medicare data. Proportions of Beneficiaries with ADRD were categorized into the included and excluded groups based on the inclusion criteria for the calculation of medication adherence measures in Star Ratings. Outcomes included costs for medications, physician visits, emergency room (ER) visits, and total costs. A generalized linear model was employed to compare costs across racial/ethnic groups. To explore the differential disparities in healthcare costs between the 2 groups, interaction terms between dummy variables for being excluded from the measure calculation and racial/ethnic minorities were included in the models. Results The patterns of racial/ethnic disparities in healthcare costs found in this study were generally consistent with expectations, with some exceptions. For example, compared with White patients, in the hyperlipidemia cohort, the physician visit cost for Black patients among the included group was 31% lower (cost ratio or CR = 0.69, 95% CI = 0.67-0.72); in the hypertension cohort, the hospitalization cost for Blacks among the excluded group was 15% higher (CR = 1.15, 95% CI = 1.12-1.19). More importantly, exclusion from measurement assessments was associated with differential cost disparities. For example, compared with individuals included in the measure assessment for hypertension, the Black-White disparities in costs for hospitalization and total healthcare were 30% higher (CR = 1.30, 95% CI = 1.26-1.34), and 10% higher (CR = 1.10; 95% CI = 1.08-1.12), respectively, among the excluded group. Conclusions Medicare Part D Star Ratings may be associated with aggravated racial/ethnic disparities in healthcare costs in the Medicare Part D population.
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Affiliation(s)
- Chi Chun Steve Tsang
- Department of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center College of Pharmacy, 881 Madison Avenue, Memphis, TN 38163, USA
| | - Yongbo Sim
- Department of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center College of Pharmacy, 881 Madison Avenue, Memphis, TN 38163, USA
| | - Michael L. Christensen
- Department of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center College of Pharmacy, 881 Madison Avenue, Memphis, TN 38163, USA
| | - Junling Wang
- Department of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center College of Pharmacy, 881 Madison Avenue, Memphis, TN 38163, USA
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Prevalence of Comorbid Depression and Insomnia Among Veterans Hospitalized for Heart Failure with Alzheimer Disease and Related Disorders. Am J Geriatr Psychiatry 2023; 31:428-437. [PMID: 36863973 DOI: 10.1016/j.jagp.2023.01.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 02/10/2023]
Abstract
OBJECTIVE To examine prevalence of Alzheimer Disease and related dementias (ADRD) and patient characteristics as a function of comorbid insomnia and/or depression among heart failure (HF) patients discharged from hospitals. DESIGN Retrospective cohort descriptive epidemiology study. SETTING VA Hospitals. PARTICIPANTS N = 373,897 Veterans hospitalized with heart failure from October 1, 2011 until September 30, 2020. MEASUREMENTS We examined VA and Center for Medicare & Medicaid Services (CMS) coding in the year prior to admission using published ICD-9/10 codes for dementia, insomnia, and depression. The primary outcome was the prevalence of ADRD and the secondary outcomes were 30-day and 365-day mortality. RESULTS The cohort were predominantly older adults (mean age = 72 years, SD = 11), male (97%), and White (73%). Dementia prevalence in participants without insomnia or depression was 12%. In those with both insomnia and depression, dementia prevalence was 34%. For insomnia alone and depression alone, dementia prevalence was 21% and 24%, respectively. Mortality followed a similar pattern with highest 30-day and 365-day mortality higher in those with both insomnia and depression. CONCLUSIONS These results suggest that persons with both insomnia and depression are at an increased risk of ADRD and mortality compared to persons with one or neither condition. Screening for both insomnia and depression, especially in patients with other ADRD risk factors, could lead to earlier identification of ADRD. Understanding comorbid conditions which may represent earlier signs of ADRD may be critical in the identification of ADRD risk.
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Davis MA, Lee KA, Harris M, Ha J, Langa KM, Bynum JPW, Hoffman GJ. Time to dementia diagnosis by race: A retrospective cohort study. J Am Geriatr Soc 2022; 70:3250-3259. [PMID: 36200557 PMCID: PMC9669160 DOI: 10.1111/jgs.18078] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/25/2022] [Accepted: 08/29/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Non-Hispanic Black individuals may be less likely to receive a diagnosis of dementia compared to non-Hispanic White individuals. These findings raise important questions regarding which factors may explain this observed association and any differences in the time to which disparities emerge following dementia onset. METHODS We conducted a retrospective cohort study using survey data from the 1995 to 2016 Health and Retirement Study linked with Medicare fee-for-service claims. Using the Hurd algorithm (a regression-based approach), we identified dementia onset among older adult respondents (age ≥65 years) from the Telephone Interview for Cognitive Status and proxy respondents. We determined date from dementia onset to diagnosis using Medicare data up to 3 years following onset using a list of established diagnosis codes. Cox Proportional Hazards modeling was used to examine the association between an individual's reported race and likelihood of diagnosis after accounting for sociodemographic characteristics, income, education, functional status, and healthcare use. RESULTS We identified 3435 older adults who experienced a new onset of dementia. Among them, 30.1% received a diagnosis within 36 months of onset. In unadjusted analyses, the difference in cumulative proportion diagnosed by race continued to increase across time following onset, p-value <0.001. 23.8% of non-Hispanic Black versus 31.4% of non-Hispanic White participants were diagnosed within 36 months of dementia onset, Hazard Ratio = 0.73 (95% CI: 0.61, 0.88). The association persisted after adjustment for functional status and healthcare use; however, these factors had less of an impact on the strength of the association than income and level of education. CONCLUSION Lower diagnosis rates of dementia among non-Hispanic Black individuals persists after adjustment for sociodemographic characteristics, functional status, and healthcare use. Further understanding of barriers to diagnosis that may be related to social determinants of health is needed to improve dementia-related outcomes among non-Hispanic Black Americans.
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Affiliation(s)
- Matthew A. Davis
- Department of Systems, Populations, and LeadershipUniversity of Michigan School of NursingAnn ArborMichiganUSA,Department of Learning Health SciencesUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
| | - Kathryn A. Lee
- Department of Systems, Populations, and LeadershipUniversity of Michigan School of NursingAnn ArborMichiganUSA
| | - Melissa Harris
- Department of Systems, Populations, and LeadershipUniversity of Michigan School of NursingAnn ArborMichiganUSA
| | - Jinkyung Ha
- Division of Geriatric and Palliative Medicine, Department of Internal MedicineUniversity of MichiganAnn ArborMichiganUSA
| | - Kenneth M. Langa
- Survey Research CenterInstitute for Social Research, University of MichiganAnn ArborMichiganUSA,Department of Internal MedicineUniversity of Michigan Medical SchoolAnn ArborMichiganUSA,Veterans Affairs Ann Arbor Center for Clinical Management ResearchAnn ArborMichiganUSA
| | - Julie P. W. Bynum
- Department of Internal MedicineUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
| | - Geoffrey J. Hoffman
- Department of Systems, Populations, and LeadershipUniversity of Michigan School of NursingAnn ArborMichiganUSA
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