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D'Abreu A, Bankole A, Kapur J, Manning CA, Chernyavskiy P. Association of the Area Deprivation Index With Dementia Basic Workup and Diagnosis in Central and Western Virginia: A Cross-Sectional Study. Neurol Clin Pract 2024; 14:e200323. [PMID: 38919929 PMCID: PMC11195434 DOI: 10.1212/cpj.0000000000200323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/02/2024] [Indexed: 06/27/2024]
Abstract
Background and Objectives The Area Deprivation Index (ADI) provides a validated and multidimensional metric of areal disadvantage. Our goals were to determine if the ADI influences the likelihood of receiving workup based on published guidelines and an etiologic diagnosis of dementia in Central and Western Virginia. Methods We collected deidentified data from the electronic health record of individuals aged 50-105 years diagnosed with dementia at the University of Virginia (UVA) Medical Center (2016-2021) and at Carillion Clinic (2018-2021). Visit-specific ICD-10 codes were used to classify each dementia diagnosis as "disease-specific" (e.g., Alzheimer disease) or "general" (e.g., unspecified dementia). Following the American Academy of Neurology guidelines, we considered the evaluation performed as "adequate" if patients had vitamin B12, thyroid-stimulating hormone, and brain CT or magnetic resonance imaging within 6 months of the initial diagnosis. Census tract ADI was linked to study participants using the unique census tract identifier derived from the participants' home addresses at the time of diagnosis. Statistical modeling occurred under a Bayesian paradigm implemented using a standard code in R. Results The study included 13,431 individuals diagnosed with dementia at UVA (n = 7,152) and Carillion Clinic (n = 6,279). Of those, 32.5% and 20.4% received "disease-specific" diagnoses at UVA and Carillion Clinic and 8.2% and 20.4% underwent "adequate" workup, respectively. The adjusted relationship between census tract ADI and the likelihood of a disease-specific diagnosis was U-shaped: Residence in moderately disadvantaged areas was associated with the lowest likelihood of disease-specific diagnosis. Discussion Most patients diagnosed with dementia did not receive an adequate evaluation or an etiologic diagnosis. Those living in locations just above the national median ADI levels had the lowest likelihood of receiving an etiologic diagnosis, lower than those in the least and most deprived areas. Renewed awareness efforts among providers are needed to increase compliance with diagnostic guidelines.
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Affiliation(s)
- Anelyssa D'Abreu
- Departments of Neurology (ADA, CAM, JK), Neuroscience (JK), and Public Health Sciences (PC), University of Virginia, Charlottesville; Department of Psychiatry and Behavioral Health (AB), Virginia Tech Carilion School of Medicine, Roanoke
| | - Azziza Bankole
- Departments of Neurology (ADA, CAM, JK), Neuroscience (JK), and Public Health Sciences (PC), University of Virginia, Charlottesville; Department of Psychiatry and Behavioral Health (AB), Virginia Tech Carilion School of Medicine, Roanoke
| | - Jaideep Kapur
- Departments of Neurology (ADA, CAM, JK), Neuroscience (JK), and Public Health Sciences (PC), University of Virginia, Charlottesville; Department of Psychiatry and Behavioral Health (AB), Virginia Tech Carilion School of Medicine, Roanoke
| | - Carol A Manning
- Departments of Neurology (ADA, CAM, JK), Neuroscience (JK), and Public Health Sciences (PC), University of Virginia, Charlottesville; Department of Psychiatry and Behavioral Health (AB), Virginia Tech Carilion School of Medicine, Roanoke
| | - Pavel Chernyavskiy
- Departments of Neurology (ADA, CAM, JK), Neuroscience (JK), and Public Health Sciences (PC), University of Virginia, Charlottesville; Department of Psychiatry and Behavioral Health (AB), Virginia Tech Carilion School of Medicine, Roanoke
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O'Conor R, Russell AM, Pack A, Oladejo D, Filec S, Rogalski E, Morhardt D, Lindquist LA, Wolf MS. Managing medications among individuals with mild cognitive impairment and dementia: Patient-caregiver perspectives. J Am Geriatr Soc 2024. [PMID: 39007450 DOI: 10.1111/jgs.19065] [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: 04/03/2024] [Revised: 06/05/2024] [Accepted: 06/13/2024] [Indexed: 07/16/2024]
Abstract
BACKGROUND With changing cognitive abilities, individuals with mild cognitive impairment (MCI) and dementia face challenges in successfully managing multidrug regimens. We sought to understand how individuals with MCI or dementia and their family caregivers manage multidrug regimens and better understand patient-to-caregiver transitions in medication management responsibilities. METHODS We conducted qualitative interviews among patient-caregiver dyads. Eligibility included: patients with a diagnosis of MCI, mild or moderate dementia, managing ≥3 chronic conditions, ≥5 prescription medications, who also had a family caregiver ≥18 years old. Semi-structured interview guides, informed by the Medication Self-Management model, ascertained roles and responsibilities for medication management and patient-to-caregiver transitions in medication responsibilities. RESULTS We interviewed 32 patient-caregiver dyads. Older adults and caregivers favored older adult autonomy in medication management, and individuals with MCI and mild dementia largely managed their medications independently using multiple strategies (e.g., establishing daily routines, using pillboxes). Among individuals with moderate dementia, caregivers assumed all medication-related responsibilities except when living separately. In those scenarios, caregivers set up organizers and made reminder calls, but did not observe family members taking medications. Patient-to-caregiver transitions in medication responsibilities frequently occurred after caregivers observed older adults making errors with medications. As caregivers sought to assume greater responsibilities with family members' medicines, they faced multiple barriers. Most barriers were dyadic; they affected both the older adult and the caregiver and/or the relationship. Some barriers were specific to caregivers; these included caregivers' competing responsibilities or inaccurate perceptions of dementia, while other barriers were related to the healthcare system. CONCLUSIONS To ease medication management transitions, balance must be sought between preservation of older adult autonomy and early family caregiver involvement. Clinicians should work to initiate conversations with family caregivers and individuals living with MCI or dementia about transitioning medication responsibilities as memory loss progresses, simplify regimens, and deprescribe, as appropriate.
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Affiliation(s)
- Rachel O'Conor
- Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Center for Applied Health Research on Aging, Institute for Public Health and Medicine, Northwestern University, Chicago, Illinois, USA
| | - Andrea M Russell
- Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Center for Applied Health Research on Aging, Institute for Public Health and Medicine, Northwestern University, Chicago, Illinois, USA
| | - Allison Pack
- Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Center for Applied Health Research on Aging, Institute for Public Health and Medicine, Northwestern University, Chicago, Illinois, USA
| | - Dianne Oladejo
- Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Center for Applied Health Research on Aging, Institute for Public Health and Medicine, Northwestern University, Chicago, Illinois, USA
| | - Sarah Filec
- Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Center for Applied Health Research on Aging, Institute for Public Health and Medicine, Northwestern University, Chicago, Illinois, USA
| | - Emily Rogalski
- Healthy Aging & Alzheimer's Research Care (HAARC) Center, The University of Chicago, Chicago, Illinois, USA
| | - Darby Morhardt
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University, Chicago, Illinois, USA
| | - Lee A Lindquist
- Division of Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Michael S Wolf
- Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Center for Applied Health Research on Aging, Institute for Public Health and Medicine, Northwestern University, Chicago, Illinois, USA
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Kuo WY, Huang CC, Chen CA, Ho CH, Tang LY, Lin HJ, Su SB, Wang JJ, Hsu CC, Chang CP, Guo HR. Heat-related illness and dementia: a study integrating epidemiological and experimental evidence. Alzheimers Res Ther 2024; 16:145. [PMID: 38961437 PMCID: PMC11221187 DOI: 10.1186/s13195-024-01515-7] [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: 12/24/2023] [Accepted: 06/22/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Heat-related illness (HRI) is commonly considered an acute condition, and its potential long-term consequences are not well understood. We conducted a population-based cohort study and an animal experiment to evaluate whether HRI is associated with dementia later in life. METHODS The Taiwan National Health Insurance Research Database was used in the epidemiological study. We identified newly diagnosed HRI patients between 2001 and 2015, but excluded those with any pre-existing dementia, as the study cohort. Through matching by age, sex, and the index date with the study cohort, we selected individuals without HRI and without any pre-existing dementia as a comparison cohort at a 1:4 ratio. We followed each cohort member until the end of 2018 and compared the risk between the two cohorts using Cox proportional hazards regression models. In the animal experiment, we used a rat model to assess cognitive functions and the histopathological changes in the hippocampus after a heat stroke event. RESULTS In the epidemiological study, the study cohort consisted of 70,721 HRI patients and the comparison cohort consisted of 282,884 individuals without HRI. After adjusting for potential confounders, the HRI patients had a higher risk of dementia (adjusted hazard ratio [AHR] = 1.24; 95% confidence interval [CI]: 1.19-1.29). Patients with heat stroke had a higher risk of dementia compared with individuals without HRI (AHR = 1.26; 95% CI: 1.18-1.34). In the animal experiment, we found cognitive dysfunction evidenced by animal behavioral tests and observed remarkable neuronal damage, degeneration, apoptosis, and amyloid plaque deposition in the hippocampus after a heat stroke event. CONCLUSIONS Our epidemiological study indicated that HRI elevated the risk of dementia. This finding was substantiated by the histopathological features observed in the hippocampus, along with the cognitive impairments detected, in the experimental heat stroke rat model.
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Affiliation(s)
- Wan-Yin Kuo
- Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Rd., Yongkang Dist, Tainan, 71004, Taiwan (R.O.C.)
- Department of Occupational Medicine, Chi Mei Medical Center, 901 Zhonghua Rd., Yongkang Dist, Tainan, 71004, Taiwan (R.O.C.)
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Shengli Rd., North Dist, Tainan, 70428, Taiwan (R.O.C.)
| | - Chien-Cheng Huang
- Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Rd., Yongkang Dist, Tainan, 71004, Taiwan (R.O.C.)
- Department of Emergency Medicine, Kaohsiung Medical University, 100 Shih-Chuan 1st Rd., Sanmin Dist, Kaohsiung, 80708, Taiwan (R.O.C.)
| | - Chi-An Chen
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Shengli Rd., North Dist, Tainan, 70428, Taiwan (R.O.C.)
| | - Chung-Han Ho
- Department of Medical Research, Chi Mei Medical Center, 901 Zhonghua Rd., Yongkang Dist, Tainan, 71004, Taiwan (R.O.C.)
- Department of Information Management, Southern Taiwan University of Science and Technology, 1 Nantai Street, Tainan, 71005, Taiwan (R.O.C.)
| | - Ling-Yu Tang
- Department of Medical Research, Chi Mei Medical Center, 901 Zhonghua Rd., Yongkang Dist, Tainan, 71004, Taiwan (R.O.C.)
| | - Hung-Jung Lin
- Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Rd., Yongkang Dist, Tainan, 71004, Taiwan (R.O.C.)
- Department of Emergency Medicine, Taipei Medical University, 250 Wuxing Street, Taipei, 11031, Taiwan (R.O.C.)
| | - Shih-Bin Su
- Department of Occupational Medicine, Chi Mei Medical Center, 901 Zhonghua Rd., Yongkang Dist, Tainan, 71004, Taiwan (R.O.C.)
- Department of Leisure, Recreation and Tourism Management, Southern Taiwan University of Science and Technology, 1 Nantai Street, Tainan, 71005, Taiwan (R.O.C.)
- Department of Medical Research, Chi Mei Medical Center, 73657, Liouying, Tainan, 201 Taikang, Taiwan (R.O.C.)
| | - Jhi-Joung Wang
- Department of Medical Research, Chi Mei Medical Center, 901 Zhonghua Rd., Yongkang Dist, Tainan, 71004, Taiwan (R.O.C.)
- Department of Anesthesiology, Tri-Service General Hospital & National Defense Medical Center, 161 Sec. 6, Minquan East Road, Taipei, 11490, Taiwan (R.O.C.)
| | - Chien-Chin Hsu
- Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Rd., Yongkang Dist, Tainan, 71004, Taiwan (R.O.C.)
| | - Ching-Ping Chang
- Department of Medical Research, Chi Mei Medical Center, 901 Zhonghua Rd., Yongkang Dist, Tainan, 71004, Taiwan (R.O.C.)
| | - How-Ran Guo
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Shengli Rd., North Dist, Tainan, 70428, Taiwan (R.O.C.).
- Department of Occupational and Environmental Medicine, National Cheng Kung University Hospital, 138 Shengli Road, Tainan, 70428, Taiwan (R.O.C.).
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Pereira-Osorio C, Brickell E, Lee B, Arredondo B, Sawyer RJ. Performance of the Modified Caregiver Strain Index in a Sample of Black and White Persons Living With Dementia and Their Caregivers. THE GERONTOLOGIST 2024; 64:gnae052. [PMID: 38769644 PMCID: PMC11181709 DOI: 10.1093/geront/gnae052] [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: 12/18/2023] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND AND OBJECTIVES This study examined the performance of the Modified Caregiver Strain Index (MCSI) in a sample of Black and White caregivers of persons living with dementia. RESEARCH DESIGN AND METHODS Data on 153 dyads enrolled in the Care Ecosystem dementia care management program were analyzed, including sociodemographic variables, dementia severity, and caregiver burden and wellbeing. Factor structure, item-response patterns, and concurrent validity were assessed across racial groups. RESULTS Differences between Black and White caregivers included gender, dyad relation, and socioeconomic disadvantage. Factor structure and item loadings varied by racial cohort, with parameters supporting a 3-factor model. For Black caregivers, finances and work, emotional and physical strain, and family and personal adjustment items loaded together on individual factors. For White caregivers physical and emotional strain items loaded on separate factors, although personal and family adjustment items loaded with work and financial strain items. Item-level analysis revealed differences between groups, with Black caregivers endorsing physical strain to a greater degree (p = .003). Total MCSI scores were positively correlated with concurrent measures like the PHQ-9 (White: r = 0.67, Black: r = 0.54) and the GAD-2 (White: r = 0.47, Black: r = 0.4), and negatively correlated with self-efficacy ratings (White: r = -0.54, Black: r = -0.55), with a p < .001 for all validity analysis. DISCUSSION AND IMPLICATIONS The MCSI displayed acceptable statistical performance for Black and White caregivers of persons living with dementia and displayed a factor structure sensitive to cultural variations of the construct. Researchers results highlight the inherent complexity and the relevance of selecting inclusive measures to appropriately serve diverse populations.
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Affiliation(s)
| | - Emily Brickell
- Ochsner Health, Center for Brain Health, New Orleans, Louisiana, USA
| | - Bern Lee
- Ochsner Health, Center for Brain Health, New Orleans, Louisiana, USA
| | - Beth Arredondo
- Ochsner Health, Center for Brain Health, New Orleans, Louisiana, 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. [PMID: 38934297 DOI: 10.1002/alz.14067] [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: 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 Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Melinda C Power
- Department of Epidemiology, George Washington University, Washington, DC, USA
| | - Francine Grodstein
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Brittney S Lange-Maia
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Family and Preventive Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Ali Moghtaderi
- Department of Health Policy and Management, George Washington University, Washington, DC, USA
| | - Emma K Stapp
- Department of Epidemiology, George Washington University, Washington, DC, USA
| | - Joya Bhattacharyya
- Department of Epidemiology, George Washington University, Washington, DC, USA
| | - Raj C Shah
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Family and Preventive Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - David X Marquez
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, Illinois, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Bryan D James
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
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2024 Alzheimer's disease facts and figures. Alzheimers Dement 2024; 20:3708-3821. [PMID: 38689398 PMCID: PMC11095490 DOI: 10.1002/alz.13809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
This article describes the public health impact of Alzheimer's disease (AD), including prevalence and incidence, mortality and morbidity, use and costs of care and the ramifications of AD for family caregivers, the dementia workforce and society. The Special Report discusses the larger health care system for older adults with cognitive issues, focusing on the role of caregivers and non-physician health care professionals. An estimated 6.9 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060, barring the development of medical breakthroughs to prevent or cure AD. Official AD death certificates recorded 119,399 deaths from AD in 2021. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death in the United States. Official counts for more recent years are still being compiled. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2021, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 140%. More than 11 million family members and other unpaid caregivers provided an estimated 18.4 billion hours of care to people with Alzheimer's or other dementias in 2023. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $346.6 billion in 2023. Its costs, however, extend to unpaid caregivers' increased risk for emotional distress and negative mental and physical health outcomes. Members of the paid health care and broader community-based workforce are involved in diagnosing, treating and caring for people with dementia. However, the United States faces growing shortages across different segments of the dementia care workforce due to a combination of factors, including the absolute increase in the number of people living with dementia. Therefore, targeted programs and care delivery models will be needed to attract, better train and effectively deploy health care and community-based workers to provide dementia care. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2024 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $360 billion. The Special Report investigates how caregivers of older adults with cognitive issues interact with the health care system and examines the role non-physician health care professionals play in facilitating clinical care and access to community-based services and supports. It includes surveys of caregivers and health care workers, focusing on their experiences, challenges, awareness and perceptions of dementia care navigation.
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Hinton L, Tran D, Peak K, Meyer OL, Quiñones AR. Mapping racial and ethnic healthcare disparities for persons living with dementia: A scoping review. Alzheimers Dement 2024; 20:3000-3020. [PMID: 38265164 PMCID: PMC11032576 DOI: 10.1002/alz.13612] [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: 03/28/2023] [Revised: 08/25/2023] [Accepted: 11/25/2023] [Indexed: 01/25/2024]
Abstract
INTRODUCTION We set out to map evidence of disparities in Alzheimer's disease and Alzheimer's disease related dementias healthcare, including issues of access, quality, and outcomes for racial/ethnic minoritized persons living with dementia (PLWD) and family caregivers. METHODS We conducted a scoping review of the literature published from 2000 to 2022 in PubMed, PsycINFO, and CINAHL. The inclusion criteria were: (1) focused on PLWD and/or family caregivers, (2) examined disparities or differences in healthcare, (3) were conducted in the United States, (4) compared two or more racial/ethnic groups, and (5) reported quantitative or qualitative findings. RESULTS Key findings include accumulating evidence that minoritized populations are less likely to receive an accurate and timely diagnosis, be prescribed anti-dementia medications, and use hospice care, and more likely to have a higher risk of hospitalization and receive more aggressive life-sustaining treatment at the end-of-life. DISCUSSION Future studies need to examine underlying processes and develop interventions to reduce disparities while also being more broadly inclusive of diverse populations.
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Affiliation(s)
- Ladson Hinton
- School of MedicineUniversity of CaliforniaDavisSacramentoCaliforniaUSA
| | - Duyen Tran
- School of MedicineUniversity of CaliforniaDavisSacramentoCaliforniaUSA
| | - Kate Peak
- Department of Family MedicineOregon Health & Science University (OHSU)PortlandOregonUSA
| | - Oanh L. Meyer
- School of MedicineUniversity of CaliforniaDavisSacramentoCaliforniaUSA
| | - Ana R. Quiñones
- Department of Family MedicineOregon Health & Science University (OHSU)PortlandOregonUSA
- OHSU‐PSU School of Public HealthOregon Health & Science UniversityPortlandOregonUSA
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Burgdorf JG, Mroz TM, Reckrey JM, Barrón Y, Ryvicker M. Prevalence and predictors of incident ADRD diagnosis following a Medicare home health episode. Alzheimers Dement 2023; 19:3936-3945. [PMID: 37057687 PMCID: PMC10523879 DOI: 10.1002/alz.13061] [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: 01/11/2023] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 04/15/2023]
Abstract
INTRODUCTION Home health (HH) may be an important source of care for those with early-stage/undiagnosed Alzheimer's Disease and Related Dementias (ADRD), but little is known regarding prevalence or predictors of incident ADRD diagnosis following HH. METHODS Using 2010-2012 linked Master Beneficiary Summary File (MBSF) and HH assessment data for 40,596 Medicare HH patients, we model incident ADRD diagnosis within 1 year of HH via multivariable logistic regression. RESULTS Among HH patients without diagnosed ADRD, 10% received an incident diagnosis within 1 year. In adjusted models, patients were three times more likely to receive an incident ADRD diagnosis if they had HH clinician-reported impaired overall cognition (compared to patients without reported impairment) and twice as likely if they were community-referred (compared to hospital-referred patients). DISCUSSION There is a pressing need to develop tailored HH clinical pathways and protect access to community-referred HH to support community-living older adults with early-stage/undiagnosed ADRD.
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Affiliation(s)
- Julia G. Burgdorf
- Center for Home Care Policy & Research at VNS Health, 220 E. 42 St, 6 Floor, New York, NY 10017
| | - Tracy M. Mroz
- Department of Rehabilitation Medicine, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356490, Seattle, WA 98195-6490
| | - Jennifer M. Reckrey
- Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L Levy Place Box 1216, New York NY 10029
| | - Yolanda Barrón
- Center for Home Care Policy & Research at VNS Health, 220 E. 42 St, 6 Floor, New York, NY 10017
| | - Miriam Ryvicker
- Center for Home Care Policy & Research at VNS Health, 220 E. 42 St, 6 Floor, New York, NY 10017
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Resnick B, Boltz M, Galik E, Kuzmik A, McPherson R, Drazich B, Kim N, Zhu S, Wells CL. Differences in Medication Use by Gender and Race in Hospitalized Persons Living with Dementia. J Racial Ethn Health Disparities 2023:10.1007/s40615-023-01745-9. [PMID: 37580439 PMCID: PMC10864680 DOI: 10.1007/s40615-023-01745-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/29/2023] [Accepted: 08/02/2023] [Indexed: 08/16/2023]
Abstract
The purpose of this study was to describe differences in treatment of White versus Black older adults, males versus females, and those living at home, assisted living, or nursing home communities with regard to the use of psychotropic, pain, and cardiovascular medications. Baseline data from the first 352 participants in the study, implementation of Function-Focused Care for Acute Care Using the Evidence Integration Triangle, were used. Data included age, gender, race, comorbidities, admission diagnosis, and living location prior to hospitalization, the Saint Louis University Mental Status exam, the modified Charlson Comorbidity Index, the Pain Assessment in Advanced Dementia scale, the Confusion Assessment Method, and medications prescribed. Generalized linear mixed model analyses were done, controlling for race or gender (depending on which comparison analysis was being done), age, cognitive status, hospital, delirium, and comorbidities. Medication use was significantly higher for White older adults, compared to Black older adults, for antidepressants, anxiolytics, non-opioid pain medications, and opioids and lower for antihypertensives. Females received more anxiolytics than their male counterparts. There were differences in medication use by living location with regard to non-opioid pain medication, antipsychotics, statins, and anticoagulants. The findings provide some current information about differences in medication use across groups of individuals and can help guide future research and hypothesis testing for approaches to minimizing these differences in treatment.
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Affiliation(s)
- Barbara Resnick
- University of Maryland School of Nursing, 655 West Lombard Street, Baltimore, MD, 21218, USA.
| | - Marie Boltz
- Penn State University, University Park, State College, PA, USA
| | - Elizabeth Galik
- University of Maryland School of Nursing, 655 West Lombard Street, Baltimore, MD, 21218, USA
| | - Ashley Kuzmik
- Penn State University, University Park, State College, PA, USA
| | | | - Brittany Drazich
- University of Maryland School of Nursing, 655 West Lombard Street, Baltimore, MD, 21218, USA
| | - Nayeon Kim
- University of Maryland School of Nursing, 655 West Lombard Street, Baltimore, MD, 21218, USA
| | - Shijun Zhu
- University of Maryland School of Nursing, 655 West Lombard Street, Baltimore, MD, 21218, USA
| | - Chris L Wells
- University of Maryland School of Nursing, 655 West Lombard Street, Baltimore, MD, 21218, USA
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Woodward JM, Liu T, Kowalkowski M, Taylor YJ, Gutnik B, Mangieri DA. Assessing post-COVID symptomatology among persons with dementia and other older adults who were hospitalized due to COVID-19: An observational study. Health Sci Rep 2023; 6:e1345. [PMID: 37434750 PMCID: PMC10331926 DOI: 10.1002/hsr2.1345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 05/18/2023] [Accepted: 06/05/2023] [Indexed: 07/13/2023] Open
Affiliation(s)
| | - Tsai‐Ling Liu
- Center for Health System Sciences, Atrium HealthCharlotteNorth CarolinaUSA
| | - Marc Kowalkowski
- Center for Health System Sciences, Atrium HealthCharlotteNorth CarolinaUSA
| | - Yhenneko J. Taylor
- Center for Health System Sciences, Atrium HealthCharlotteNorth CarolinaUSA
| | - Bella Gutnik
- Center for Health System Sciences, Atrium HealthCharlotteNorth CarolinaUSA
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Blinka MD, Gundavarpu S, Baker D, Thorpe RJ, Gallo JJ, Samus QM, Amjad H. "At least we finally found out what it was": Dementia diagnosis in minoritized populations. J Am Geriatr Soc 2023; 71:1952-1962. [PMID: 36914987 PMCID: PMC10258149 DOI: 10.1111/jgs.18329] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/11/2023] [Accepted: 02/14/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND Disparities in diagnosis persist among persons living with dementia (PLWD); most research on delayed diagnosis relies on medical records or administrative claims. This study aimed to identify factors that delay or facilitate dementia diagnoses in racial or ethnic minoritized PLWD and elicit care partner perspectives on timing and effects of diagnosis. METHODS Maryland-based participants cared for a PLWD age 60 or older, self-identified as Black/African/African-American, Asian, or Hispanic/Latino, and spoke English. Nineteen care partner in-depth, semi-structured interviews were conducted and analyzed using conventional qualitative content analysis methods. RESULTS Biological, sociocultural, and environmental factors delayed dementia diagnosis. Memory loss was the most common early symptom, but the onset was often subtle or perceived as normal aging. Stigma and secrecy surrounding dementia influenced recognition and discussion of dementia among families and communities. Diagnoses were family-initiated and started in primary care. Care partners were divided in their perceptions of diagnosis timeliness and whether earlier diagnosis would have changed outcomes. Family reactions to dementia diagnoses varied; most participants expressed a strong sentiment of service and duty to care for older family members. Participants overwhelmingly felt the benefits of obtaining a dementia diagnosis outweighed harms. CONCLUSIONS Numerous factors affect dementia diagnosis in racial and ethnic minoritized PLWD. Normalization of brain health discussions and systematic, proactive discussion and detection of dementia in primary care may address multilevel barriers and facilitators to diagnosis. Systems-level and community-led public health interventions may also help address disparities in brain health education and dementia diagnosis.
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Affiliation(s)
- Marcela D. Blinka
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Center on Aging and Health, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sneha Gundavarpu
- Department of Internal Medicine, Northeast Ohio Medical University, Rootstown, Ohio, USA
| | - Dorcas Baker
- Center for Infectious Disease and Nursing Innovation (CIDNI), Regional Partner, MidAtlantic AIDS Education and Training Center (AETC), Johns Hopkins University School of Nursing, Baltimore, Maryland, USA
| | - Roland J. Thorpe
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Health, Behavior, and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Joseph J. Gallo
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland USA
- Department of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Quincy M. Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Halima Amjad
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Center on Aging and Health, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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