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Aho E, Religa D, Ding M, Winblad B, Jönsson L, Modig K. Patient management pathways in dementia - Resource utilisation, diagnosis and drug treatment in the Stockholm region, Sweden. J Prev Alzheimers Dis 2025:100132. [PMID: 40102146 DOI: 10.1016/j.tjpad.2025.100132] [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: 01/13/2025] [Revised: 03/04/2025] [Accepted: 03/07/2025] [Indexed: 03/20/2025]
Abstract
BACKGROUND New diagnostic and therapeutic options for Alzheimer's disease are beginning to be introduced and expected igto become more widely available in the coming years. Improved understanding of current pathways in diagnosis and initial care of patients with dementia can help inform choices around how best to integrate new technologies in existing care structures. OBJECTIVES The aim of this study is to describe the care management pathways defined by the involvement of specialist and primary care for individuals with newly diagnosed dementia. It also seeks to characterise individuals in different management pathways based on resource use prior to diagnosis, the type of dementia diagnosis received, and the proportion who receive symptomatic anti-dementia drug treatment. DESIGN Observational cohort study SETTING: Stockholm region, Sweden. PARTICIPANTS All newly diagnosed dementia cases between 1st January 2018 to 30th June 2020 (n = 9,781). Dementia diagnoses in primary care were based on Regional Stockholm health care database and diagnoses in specialist care were based on the National Patient Register in Sweden. MEASUREMENTS Care management pathways were categorized into three groups: primary care only (diagnosed and followed up in primary care), specialist, no follow-up (diagnosed in specialist care but not followed up in specialist care), and specialist with follow-up (diagnosed and followed up in specialist care). These classifications were based on patients' care episodes from the date of diagnosis and the subsequent 18 months. age at diagnosis, resource utilisation one-year prior diagnosis and diagnosis given and symptomatic anti-dementia treatment 18 months after initial diagnosis. RESULTS A total of 9,781 newly diagnosed dementia cases were identified. In the 18 months following diagnosis, 63 % of patients were diagnosed either partly or fully in specialist care, while 37 % were diagnosed solely in primary care. Patients diagnosed and managed only in primary care were older, spent more days in hospital, and received more social care in the year preceding their diagnosis. Their total care costs were also the highest. Alzheimer's disease was the most common diagnosis (48 %), while 27 % had an unspecified dementia diagnosis, varying by care setting (61 % for patients managed in primary care only and 6 % for patients diagnosed and followed up in specialist care). Overall, 47 % of patients received symptomatic anti-dementia treatment, with the highest share for patients diagnosed and followed up in specialist care (73 %) and the lowest in primary care only (19 %). Diagnosis varied by age and care setting Alzheimer's was most common in settings involving specialist care, whereas unspecified dementia was more common in primary care only regardless of age. CONCLUSION The findings that patients managed exclusively in primary care were older, had higher pre-diagnosis resource utilisation, and were less likely to receive specific diagnoses or anti-dementia treatments highlight the crucial role of primary care in diagnosing and managing dementia among older individuals with complex needs. Further research is needed to explore primary care's role in diagnosis and treatment across diverse healthcare systems. Future research is needed to explore whether and how new diagnostic tools and treatment for AD could facilitate timely diagnosis and care for older individuals with dementia in primary care.
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Affiliation(s)
- Emil Aho
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, The Center for Alzheimer Research Karolinska Institutet, Stockholm, Sweden.
| | - Dorota Religa
- Division of Clinical geriatrics, Department of Neurobiology, Care Sciences and Society, The Center for Alzheimer Research Karolinska Institutet, Stockholm Sweden
| | - Mozhu Ding
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Bengt Winblad
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, The Center for Alzheimer Research Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging, Karolinska Univ Hospital, Huddinge, Sweden
| | - Linus Jönsson
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, The Center for Alzheimer Research Karolinska Institutet, Stockholm, Sweden
| | - Karin Modig
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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Aye S, Frisell O, Zetterberg H, Skillbäck TB, Kern S, Eriksdotter M, Aho E, Xia X, Winblad B, Wimo A, Jönsson L. Costs of Care in Relation to Alzheimer's Disease Severity in Sweden: A National Registry-Based Cohort Study. PHARMACOECONOMICS 2025; 43:153-169. [PMID: 39485581 PMCID: PMC11782292 DOI: 10.1007/s40273-024-01443-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/30/2024] [Indexed: 11/03/2024]
Abstract
BACKGROUND The advancement of diagnostic and therapeutic interventions in early Alzheimer's disease (AD) has demanded the economic evaluation of such interventions. Resource utilization and cost estimates in early AD and, more specifically, the amyloid-positive population are still lacking. We aimed to provide cost estimates in AD in relation to disease severity and compare these with the control population. We also aimed to provide cost estimates for a subset of the AD population with both clinical diagnosis and amyloid-positive confirmation. MATERIALS AND METHODS This was a retrospective longitudinal analysis of resource utilization using data from national registries. A cohort from the national Swedish registry for cognitive/dementia disorders (SveDem) includes all clinically diagnosed AD between 2013 and 2020. The study population included 31,951 people with AD and 63,902 age- and sex-matched controls (1:2). The population was followed until death, the end of December 2020, or 2 years from the last clinic visit. Direct medical and social costs were estimated from other national registries. Direct medical costs include costs for medications and inpatient and outpatient clinical visits. Direct social costs include costs for institutionalization, home care, short-term care, support for daytime activities, and housing support. Mean annual costs and 95% confidence intervals were obtained by bootstrapping, presented in 2021 Swedish Krona (SEK) (1 SEK = 0.117 USD, 1 SEK = 0.0985 EUR in 2021), and disaggregated by AD severity, cost component, sex, age group, and care setting. RESULTS Mean annual costs for individuals with clinically diagnosed AD were SEK 99,906, SEK 290,972, SEK 479,524, and SEK 795,617 in mild cognitive impairment (MCI), mild, moderate, and severe AD. The mean annual costs for the population with both clinical diagnosis and amyloid-positive AD confirmation (N = 5610) were SEK 57,625, SEK 179,153, SEK 333,095, and SEK 668,073 in MCI, mild, moderate, and severe AD, respectively. The mean annual costs were higher in institutionalized than non-institutionalized patients, females than males, and older than younger age groups. Inpatient and drug costs were similar in all AD severity stages, but outpatient costs decreased with AD severity. Costs for institutionalization, home care, support for daytime activities, and short-term care increased with AD severity, whereas the cost of housing support decreased with AD severity. CONCLUSIONS This is the first study estimating annual costs in people with AD from MCI to severe AD, including those for the amyloid-positive population. The study provides cost estimates by AD severity, cost components, care settings, sex, and age groups, allowing health economic modelers to apply the costs based on different model structures and populations.
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Affiliation(s)
- Sandar Aye
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, BioClinicum, Akademiska Stråket, 171 64, Solna, Sweden.
| | - Oskar Frisell
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, BioClinicum, Akademiska Stråket, 171 64, Solna, Sweden
- The Swedish Institute of Health Economics (IHE), Stockholm, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Tobias Borgh Skillbäck
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neuropsychiatry, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neuropsychiatry, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Maria Eriksdotter
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77, Stockholm, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, 141 86, Stockholm, Sweden
| | - Emil Aho
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, BioClinicum, Akademiska Stråket, 171 64, Solna, Sweden
| | - Xin Xia
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, BioClinicum, Akademiska Stråket, 171 64, Solna, Sweden
| | - Bengt Winblad
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, BioClinicum, Akademiska Stråket, 171 64, Solna, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, 141 86, Stockholm, Sweden
| | - Anders Wimo
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, BioClinicum, Akademiska Stråket, 171 64, Solna, Sweden
| | - Linus Jönsson
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, BioClinicum, Akademiska Stråket, 171 64, Solna, Sweden
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