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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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Chen YJ, Chang MC, Jhang KM, Wang WF, Liao YC. Neuropsychiatric Symptoms Predict Faster Cognitive Decline in Dementia Collaborative Care Than Antipsychotic Use. Neuropsychiatr Dis Treat 2024; 20:689-696. [PMID: 38559771 PMCID: PMC10981370 DOI: 10.2147/ndt.s454943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/16/2024] [Indexed: 04/04/2024] Open
Abstract
Background To compare short-term cognitive outcomes among groups with and without neuropsychiatric symptoms (NPSs) or antipsychotic prescription and to determine which disease status or treatment modality is associated with relatively faster cognitive decline. Methods We retrospectively analyzed a prospective cohort of patients diagnosed with dementia and mild cognitive impairment. All participants were evaluated using the Cognitive Abilities Screening Instrument (CASI) during their initial clinical assessments and at the annual follow-up. The dependent variable was annual delta CASI. Multivariate linear regression analysis was used to assess the degree of association between NPS, antipsychotic use, and cognitive decline after adjusting for confounding factors. Neuropsychiatric symptoms were examined individually to determine their predictive value for cognitive decline. Results A total of 407 (N = 407) patients were included in the study. NPSs, rather than antipsychotic use, led to faster cognitive decline. A higher baseline NPI total score predicted a significantly faster decline in CASI scores (1-year delta CASI = -0.22, 95% CI = -0.38~ -0.05, p = 0.010). Specific items (delusions, agitation, depression, anxiety, euphoria, and apathy) in the NPS significantly increased cognitive decline. Conclusion Certain neuropsychiatric symptoms, rather than antipsychotic use, lead to faster cognitive decline in a dementia collaborative care model. Checking for and providing appropriate interventions for NPS in people with dementia and their caregivers are highlighted.
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Affiliation(s)
- Yen-Jen Chen
- Department of Psychiatry, Changhua Christian Hospital, Changhua, Taiwan
- Department of Psychiatry, Yuanlin Christian Hospital, Changhua, Taiwan
| | - Ming-Che Chang
- Department of Nuclear Medicine, Changhua Christian Hospital, Changhua, Taiwan
| | - Kai-Ming Jhang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Wen-Fu Wang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Yi-Cheng Liao
- Department of Psychiatry, Changhua Christian Hospital, Changhua, Taiwan
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Aamodt WW, Kluger BM, Mirham M, Job A, Lettenberger SE, Mosley PE, Seshadri S. Caregiver Burden in Parkinson Disease: A Scoping Review of the Literature from 2017-2022. J Geriatr Psychiatry Neurol 2024; 37:96-113. [PMID: 37551798 PMCID: PMC10802092 DOI: 10.1177/08919887231195219] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
Caregiver burden is a term that refers to the adverse effect of caregiving on the physical, emotional, social, spiritual, and financial well-being of the caregiver. Caregiver burden is associated with providing care to an individual with a chronic illness or disability, and the unique symptoms of Parkinson disease (PD) can amplify a patient's needs and reliance on others, leading to adverse outcomes for patients and their caregivers. In this scoping review of the literature from January 2017 through April 2022 that included 114 studies, we provide an updated, evidence-based summary of patient and caregiver-related factors that contribute to caregiver burden in PD. We also describe the impact of caregiver stress and burden on caregivers based on qualitative research studies and review recent interventions to mitigate burden. By providing clinical updates for practitioners, this review is designed to improve recognition of caregiver burden in the post-pandemic era and foster the development of targeted interventions to reduce caregiver burden in PD.
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Affiliation(s)
- Whitley W. Aamodt
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research, University of Pennsylvania, Philadelphia, PA, USA
| | - Benzi M. Kluger
- Department of Neurology, University of Rochester, Rochester, NY, USA
| | - Miray Mirham
- School of Medicine, University of Rochester, Rochester, NY, USA
| | - Anna Job
- University of Rochester, Rochester, NY, USA
| | | | - Philip E. Mosley
- School of Medicine, University of Queensland, Herston, QLD, Australia
| | - Sandhya Seshadri
- Department of Neurology, University of Rochester, Rochester, NY, USA
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Chen YJ, Wang WF, Chang MC, Jhang KM. The Effectiveness of the Case Manager-Centered Collaborative Care Model with Computer-Assisted Assessment on Quality Indicators for the Care of Dementia. Dement Geriatr Cogn Disord 2024; 53:29-36. [PMID: 38316114 DOI: 10.1159/000536646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 01/29/2024] [Indexed: 02/07/2024] Open
Abstract
INTRODUCTION This study aimed to investigate the influence of case management and its corresponding computer-assisted assessment system on the quality improvement of dementia care. METHODS This observational study enrolled 2029 patients and their caregivers at Changhua Christian Hospital in Taiwan. Physicians who made the diagnosis of dementia would introduce the patient and caregiver dyad to the case manager-centered collaborative care team after obtaining agreement. The achievement rates of 11 quality indicators (QIs) comprising timely diagnostic evaluations, regular screens of cognition and neuropsychiatric symptoms, caregiver support, and proper medication prescriptions were counted. Different timeframes (≤4 months, 4 months-1 year, 1-2 years, 2-3 years, or ≥3 years) from diagnosis of dementia to collaborative care intervention were compared. RESULTS A significantly higher attainment rate was achieved for patients with earlier entry into the collaborative team model, including QIs about timely diagnosis and regular screening, and caregiver support. The QIs regarding dementia medication prescriptions and documentation of the risk of antipsychotics remained similar regardless of the time of entry into the model. The completion rates of QIs also improved after the information system was launched. CONCLUSIONS Physician-case manager co-management in the setting of a collaborative care model with a computer-assisted assessment system helps improve QI achievement for dementia care.
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Affiliation(s)
- Yen-Jen Chen
- Department of Psychiatry, Changhua Christian Hospital, Changhua, Taiwan,
| | - Wen-Fu Wang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Ming-Che Chang
- Department of Nuclear Medicine, Changhua Christian Hospital, Changhua, Taiwan
| | - Kai-Ming Jhang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
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Jhang KM, Wang WF, Hsu KN, Huang SC, Yang SH, Huang LC, Yang YH. A 12-Year Comparison of Alzheimer's Dementia Patients With Their Informants in Taiwan. Am J Alzheimers Dis Other Demen 2023; 38:15333175231218089. [PMID: 38016118 PMCID: PMC10685789 DOI: 10.1177/15333175231218089] [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: 11/30/2023]
Abstract
BACKGROUND To update the characteristics of patients with Alzheimer's disease (AD) and their informants in Taiwan and compare them from 12 years ago. METHODS 1218 patients with AD and their informants were recruited from six hospitals in Taiwan. The uniform data set version 3.0 (UDS3, form A1-A3) were administered. RESULTS Compared with the first registration from 2010-2012 (n = 691), the mean clinical dementia rating sum of boxes score was significantly lower, more patients living independently, and more informants not living together with the patients. A total of 11.2%, 4.1%, 12.8%, and 0.5% of the patients had a reported history of cognitive impairment in their mothers, fathers, siblings, and children, respectively. CONCLUSION Compared with the data from 2010, patients have been diagnosed at a milder disease stage, and their informants used telephone contact more frequently instead of living with the patients. Family histories of cognitive impairment in patients with AD remain frequent.
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Affiliation(s)
- Kai-Ming Jhang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Wen-Fu Wang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Kuang-Nan Hsu
- Department of Neurology, Taitung MacKay Memorial Hospital, Taitung, Taiwan
| | - Shang-Chien Huang
- Department of Psychiatry, Tungs' Taichung MetroHarbor Hospital, Taichung, Taiwan
| | | | - Ling-Chun Huang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- School of Post-Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Chen YJ, Jhang KM, Wang WF, Lin GC, Yen SW, Wu HH. Applying Apriori algorithm to explore long-term care services usage status-Variables based on the combination of patients with dementia and their caregivers. Front Psychol 2022; 13:1022860. [PMID: 36582325 PMCID: PMC9792981 DOI: 10.3389/fpsyg.2022.1022860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 11/18/2022] [Indexed: 12/15/2022] Open
Abstract
Purpose The aim of this study was to identify the combination of patients with dementia and their caregivers' characteristics associated with long-term care (LTC) services usage. Patients and methods A cross-sectional study was conducted with 475 patients with mild, moderate, and severe dementia at Changhua Christian Hospital, Taiwan. Eleven types of variables from patients with dementia, nine types of variables from patients' caregivers, and 15 types of LTC services were used for this study. The Apriori algorithm was employed to identify the attributes from the patients and their caregivers who used a particular LTC service from a comprehensive viewpoint. Results A total of 75 rules were generated by the Apriori algorithm with support of 2%, confidence of 80%, and lift >1. Among these rules, 25 rules belonged to home personal care services which were summarized further into four general rules for home personal care services. On the other hand, 50 rules belonged to assistive devices that were summarized further into 21 general rules based on their similarities. Patient's walking ability, patient's emotional liability, unemployed or retired caregivers, caregivers' feelings with either helplessness or hopelessness, and caregivers who cared for patients with dementia solely were found to be the critical variables to use home personal care services. In contrast, patient's walking ability, age, and severity as well as caregivers' age, mood, marital status, caregiving burden, and the patient being cared for mainly by a foreign care helper were found to be the critical variables to use assistive devices. Conclusion This study showed preliminary results on the LTC service usage from patients with dementia and their caregivers residing in the community. Understanding the patient-caregiver dyad's profile leads the service providers, policymakers, and the referral team to tailor service provisions better to meet the needs and identify the potential target groups. The findings in this study serve as references to reduce caregivers' burden as well as to improve the quality of care for patients with dementia.
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Affiliation(s)
- Yen-Jen Chen
- Department of Psychiatry, Changhua Christian Hospital, Changhua, Taiwan
| | - Kai-Ming Jhang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Wen-Fu Wang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan,Department of Recreation and Holistic Wellness, Ming Dao University, Changhua, Taiwan
| | - Guan-Cheng Lin
- Department of Business Administration, National Changhua University of Education, Changhua, 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,Department of M-Commerce and Multimedia Applications, Asia University, Taichung, Taiwan,Faculty of Education, State University of Malang, Malang, East Java, Indonesia,*Correspondence: Hsin-Hung Wu
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