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Jhang KM, Liao GC, Wang WF, Tung YC, Yen SW, Wu HH. Caregivers' Burden on Patients with Dementia Having Multiple Chronic Diseases. Risk Manag Healthc Policy 2024; 17:1151-1163. [PMID: 38737420 PMCID: PMC11088409 DOI: 10.2147/rmhp.s454796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 05/01/2024] [Indexed: 05/14/2024] Open
Abstract
Purpose This study aimed to find the caregiving burden level for patients with dementia who had multiple chronic diseases by simultaneously considering both patient and caregiver factors. Participants and Methods A cross-sectional study with 284 patients with dementia having multiple chronic diseases managed by the dementia collaborative care team at Changhua Christian Hospital in Taiwan was conducted. The input variables were from patients, such as age, gender, mood symptoms, and behavioral and psychological symptoms, and caregivers, including age, relation to the patient, caregiver's mood, and caregiving burden. The Apriori algorithm was employed to determine the association between patient and caregiver factors and different caregiving burden levels by setting up the minimum support of 1% and confidence of 90% along with lift >1. Results When caring for patients with dementia, twenty scenarios were found for caregivers with a severe burden. In addition, 1936 scenarios were related to caregivers with a moderate-to-severe burden. Specifically, there were eight scenarios for patients with three chronic diseases which could be further categorized into five general rules. Two hundred and fifty scenarios belonging to patients with two chronic diseases could be classified into 16 different combinations from eight chronic diseases of the database. Conclusion Caregiver's mood, patients with mild dementia, and patients aged 75-84 years were associated with a severe caregiving burden. College and above education of the caregiver, the patient aged 85 years or more, and at least one of caregiver's moods were the variables to result in a moderate-to-severe burden for caregivers caring for patients with three multiple chronic diseases. Moreover, college and above education of the caregiver, mood symptom, age of the caregiver, and age of the patient were important variables for caregivers who had a moderate-to-severe burden taking care of patients with two chronic diseases.
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Affiliation(s)
- Kai-Ming Jhang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Guan-Chun Liao
- Department of Business Administration, National Changhua University of Education, Changhua, Taiwan
| | - Wen-Fu Wang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Yu-Chun Tung
- Department of Pharmacy, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Shao-Wei Yen
- Department of Information Management, National Changhua University of Education, Changhua, Taiwan
| | - Hsin-Hung Wu
- Department of Business Administration, National Changhua University of Education, Changhua, Taiwan
- Faculty of Education, State University of Malang, Malang, East Java, Indonesia
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Liu R, Wyk BV, Quiñones AR, Allore HG. Longitudinal Care Network Changes and Associated Healthcare Utilization Among Care Recipients. Res Aging 2024; 46:327-338. [PMID: 38261524 DOI: 10.1177/01640275241229162] [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: 01/25/2024]
Abstract
This study examines caregiver networks, including size, composition, and stability, and their associations with the likelihood of hospitalization and skilled-nursing facility (SNF) admissions. Data from the National Health and Aging Trends Study linked to Center for Medicare and Medicaid Services data were analyzed for 3855 older adults across five survey waves. Generalized estimating equation models assessed the associations. The findings indicate each additional paid caregiver was associated with higher adjusted risk ratios (aRR) for hospitalization (aRR = 1.24, 95% CI 1.10-1.41) and SNF admission (aRR = 1.28, 95% CI 1.06-1.54) among care recipients, a pattern that is also observed with the addition of unpaid caregivers (hospitalization: aRR = 1.13, 95% CI 1.06-1.20; SNF: aRR = 1.12, 95% CI 1.02-1.23). These results suggest that policies and approaches to enhance the quality and coordination of caregivers may be warranted to support improved outcomes for care recipients.
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Affiliation(s)
- Ruotong Liu
- Department of Family Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Brent Vander Wyk
- Department of Biostatistics, Yale University, New Haven, CT, USA
| | - Ana R Quiñones
- Department of Family Medicine, Oregon Health and Science University, Portland, OR, USA
- OHSU-PSU School of Public Health, Portland, OR, USA
| | - Heather G Allore
- Department of Biostatistics, Yale University, New Haven, CT, USA
- Department of Internal Medicine, Yale University, New Haven, CT, 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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Wang J, Liu W, Li X, Ma Y, Zhao Q, Lü Y, Xiao M. Examining the Social Networks Types and Their Effects on Caregiving Experience of Family Caregivers for Individuals With Dementia: A Mixed-Methods Study. Innov Aging 2024; 8:igae040. [PMID: 38859823 PMCID: PMC11163924 DOI: 10.1093/geroni/igae040] [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: 12/22/2023] [Indexed: 06/12/2024] Open
Abstract
Background and Objectives Social networks are crucial to personal health, particularly among caregivers of individuals with dementia; however, different types of social networks among caregivers of those with dementia and how these differences are associated with caregiver burden and positive appraisal, remain underexamined. This study aims to depict dementia caregivers' social network types, related factors, and impact on caregiving experiences. Research Design and Methods A questionnaire-based survey was conducted with a total of 237 family caregivers of individuals with dementia nested additional semistructured interviews conducted with 14 caregivers in Chongqing, China. A quantitative study was designed to collect data on personal and situational information, social networks, caregiver burden, and positive aspects of caregiving. Qualitative data were collected via semistructured interviews. Latent class analysis and multivariate regression analyses were applied to quantitative data, and inductive content analysis to qualitative data. Results The 3 social network types-family-limited (n = 39, 16.46%), family-dominant (n = 99, 41.77%), and diverse network (n = 99, 41.77%)-differed in age and sex of caregivers and individuals with dementia, stage of dementia, and caregiving intensity. Caregivers in family-dominant networks had a lower caregiver burden (β= -0.299, p = .003) and greater positive aspects of caregiving (β= 0.228, p = .021) than those in family-limited networks. Three themes-accessibility, reciprocity, and reliance-emerged as facilitators and barriers when asking for support. Caregivers frequently cited the perception of economic, practical, and emotional support, yet reported a lack of adequate formal support from healthcare providers. Discussion and Implication Family caregivers of individuals with dementia have different social network types that vary considerably among sociocultural contexts and perceive various types of support from social networks. Solid family networks and diverse social networks are contributors to long-term dementia care.
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Affiliation(s)
- Jun Wang
- Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Weichu Liu
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xuelian Li
- Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yingzhuo Ma
- Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qinghua Zhao
- Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Lü
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mingzhao Xiao
- Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Kennedy DP, Friedman EM, Kirkegaard A, Edgington S, Shih R. Perceived loss of support to community caregivers during the COVID-19 pandemic in the United States. JOURNAL OF COMMUNITY PSYCHOLOGY 2024; 52:475-497. [PMID: 38329412 PMCID: PMC10977083 DOI: 10.1002/jcop.23107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 01/08/2024] [Indexed: 02/09/2024]
Abstract
Coronavirus disease (COVID-19) had a negative impact on the health and well-being of community caregivers. Few studies examine the pandemic's negative impact on the availability of social networks of caregivers. This article uses data collected during COVID-19 before vaccination to examine caregivers' reports of perceived lost and reduced network support. We assessed the personal networks of a nationally representative sample of 2214 community caregivers in the United States. We analyzed associations between caregiving factors and caregivers' perceptions of lost and reduced network support. Changes in care recipient living circumstances during COVID-19, longer-term caregiving, care recipient hearing/vision/mobility problems, caregiver travel/socializing restrictions, caregiver race/ethnicity, caregiver income, caregiver age, network connectivity, family relationships, and network members' age were associated with perceived lost/reduced support during the pandemic. Findings provide insights for the development of social network interventions to support caregivers and help them cultivate support networks resilient to public health crises.
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Affiliation(s)
- David P. Kennedy
- RAND Corporation, 1776 Main St., M5S., Santa Monica, CA 90047-2138
| | - Esther M. Friedman
- Institute for Social Research, University of Michigan at Ann Arbor, 426 Thompson St, Ann Arbor, MI 48104
| | | | - Sarah Edgington
- RAND Corporation, 1776 Main St., M5S., Santa Monica, CA 90047-2138
| | - Regina Shih
- RAND Corporation, 1776 Main St., M5S., Santa Monica, CA 90047-2138
- Emory University, 1518 Clifton Rd., Atlanta, GA
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Ho ISS, McGill K, Malden S, Wilson C, Pearce C, Kaner E, Vines J, Aujla N, Lewis S, Restocchi V, Marshall A, Guthrie B. Examining the social networks of older adults receiving informal or formal care: a systematic review. BMC Geriatr 2023; 23:531. [PMID: 37653368 PMCID: PMC10470175 DOI: 10.1186/s12877-023-04190-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 07/23/2023] [Indexed: 09/02/2023] Open
Abstract
PURPOSE To address the care needs of older adults, it is important to identify and understand the forms of care support older adults received. This systematic review aims to examine the social networks of older adults receiving informal or formal care and the factors that influenced their networks. METHODS A systematic review was conducted by searching six databases from inception to January 31, 2023. The review included primary studies focusing on older adults receiving long-term care, encompassing both informal and formal care. To assess the risk of bias in the included studies, validated appraisal tools specifically designed for different study types were utilized. Network analysis was employed to identify the grouping of study concepts, which subsequently formed the foundation for describing themes through narrative synthesis. RESULTS We identified 121 studies relating to the formal and informal care of older adults' networks. A variety of social ties were examined by included studies. The most commonly examined sources of care support were family members (such as children and spouses) and friends. Several factors were consistently reported to influence the provision of informal care, including the intensity of networks, reciprocity, and geographical proximity. In terms of formal care utilization, older age and poor health status were found to be associated with increased use of healthcare services. Additionally, physical limitations and cognitive impairment were identified as factors contributing to decreased social engagement. CONCLUSION This review found that older people were embedded within a diverse network. The findings of this review emphasize the importance of recognizing and incorporating the diversity of social networks in care plans and policies to enhance the effectiveness of interventions and improve the overall well-being of older adults.
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Affiliation(s)
- Iris Szu-Szu Ho
- Advanced Care Research Centre, Usher Institute, University of Edinburgh, Bio Cube 1, Edinburgh BioQuarter, 13 Little France Road, Edinburgh, EH16 4UX, UK.
- School of Informatics, University of Edinburgh (Informatics Forum, 10 Crichton St, Newington, Edinburgh, EH8 9AB, UK.
- , 47 Potterow, Bayes Centre, Edinburgh, EH8 9BT, UK.
| | - Kris McGill
- Advanced Care Research Centre, Usher Institute, University of Edinburgh, Bio Cube 1, Edinburgh BioQuarter, 13 Little France Road, Edinburgh, EH16 4UX, UK
| | - Stephen Malden
- Advanced Care Research Centre, Usher Institute, University of Edinburgh, Bio Cube 1, Edinburgh BioQuarter, 13 Little France Road, Edinburgh, EH16 4UX, UK
- School of Health in Social Science, Medical School, University of Edinburgh, Doorway 6, Teviot Place, Edinburgh, EH8 9AG, UK
| | - Cara Wilson
- Advanced Care Research Centre, Usher Institute, University of Edinburgh, Bio Cube 1, Edinburgh BioQuarter, 13 Little France Road, Edinburgh, EH16 4UX, UK
- Institute for Education, Community and Society, University of Edinburgh, Old Moray House, Holyrood Road, Edinburgh, EH8 8AQ, UK
| | - Caroline Pearce
- Advanced Care Research Centre, Usher Institute, University of Edinburgh, Bio Cube 1, Edinburgh BioQuarter, 13 Little France Road, Edinburgh, EH16 4UX, UK
- Edinburgh College of Art, University of Edinburgh, 74 Lauriston Pl, Edinburgh, EH3 9DF, UK
| | - Eileen Kaner
- Advanced Care Research Centre, Usher Institute, University of Edinburgh, Bio Cube 1, Edinburgh BioQuarter, 13 Little France Road, Edinburgh, EH16 4UX, UK
- Population Health Science Institute, Newcastle University, Baddiley-Clark Building, Newcastle upon Tyne, NE2 4AX, UK
| | - John Vines
- School of Informatics, University of Edinburgh (Informatics Forum, 10 Crichton St, Newington, Edinburgh, EH8 9AB, UK
| | - Navneet Aujla
- Advanced Care Research Centre, Usher Institute, University of Edinburgh, Bio Cube 1, Edinburgh BioQuarter, 13 Little France Road, Edinburgh, EH16 4UX, UK
- Population Health Science Institute, Newcastle University, Baddiley-Clark Building, Newcastle upon Tyne, NE2 4AX, UK
| | - Sue Lewis
- Advanced Care Research Centre, Usher Institute, University of Edinburgh, Bio Cube 1, Edinburgh BioQuarter, 13 Little France Road, Edinburgh, EH16 4UX, UK
- School of Health in Social Science, Medical School, University of Edinburgh, Doorway 6, Teviot Place, Edinburgh, EH8 9AG, UK
| | - Valerio Restocchi
- School of Informatics, University of Edinburgh (Informatics Forum, 10 Crichton St, Newington, Edinburgh, EH8 9AB, UK
| | - Alan Marshall
- School of Social and Political Science, University of Edinburgh, 15a George Square, Edinburgh, EH8 9LD, UK
| | - Bruce Guthrie
- Advanced Care Research Centre, Usher Institute, University of Edinburgh, Bio Cube 1, Edinburgh BioQuarter, 13 Little France Road, Edinburgh, EH16 4UX, UK
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