ArticleJMIR formative research2021
Assessing the Views of Professionals, Patients, and Care Partners Concerning the Use of Computer Tools in Memory Clinics: International Survey Study.
Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Technological interventions in European dementia care: a systematic review of acceptance and attitudes among people living with dementia, caregivers, and healthcare workers.Frontiers in neurology · 2024Pooled it
- Stakeholders' perspectives on an autonomous brain MRI: An interview study.PEC innovation · 2026Article
- Enhancing Alzheimer's disease diagnosis in primary care through targeted screening of people at risk of developing dementia - study design and feasibility assessment of the PREDEM primary care study.Alzheimer's research & therapy · 2026Article
- Predicting rates of cognitive and functional decline in Alzheimer's disease and mild cognitive impairment.Communications medicine · 2026Article
- Perceived Potential and Challenges of Supporting Coronary Artery Disease Treatment Decisions With AI: Qualitative Study.JMIR cardio · 2026Article
- Usability and feasibility of ADappt: a digital toolkit to support communication on diagnosis and prognosis in memory clinics.Alzheimer's research & therapy · 2025Article
- Smartphone- and Tablet-Based Tools to Assess Cognition in Individuals With Preclinical Alzheimer Disease and Mild Cognitive Impairment: Scoping Review.Journal of medical Internet research · 2025Article
- Deciphering Perspectives: A European Survey on Clinical Decision Support Tools for Dementia and Alzheimer's Disease.Dementia and geriatric cognitive disorders · 2025Article
- Computerized decision support to optimally funnel patients through the diagnostic pathway for dementia.Alzheimer's research & therapy · 2024Article
- Use of a digital tool to support the diagnostic process in memory clinics-a usability study.Alzheimer's research & therapy · 2024Article
- Exploring key components and factors that influence the use of clinical decision- support tools for prescribing to older patients with kidney disease: the perspective of healthcare providers.BMC health services research · 2024Article
- Towards a future where Alzheimer's disease pathology is stopped before the onset of dementia.Nature aging · 2023Review
- Designing the next-generation clinical care pathway for Alzheimer's disease.Nature aging · 2022Review
- Optimizing cCOG, a Web-based tool, to detect dementia with Lewy Bodies.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022Article
- Development and design of a diagnostic report to support communication in dementia: Co-creation with patients and care partners.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundComputer tools based on artificial intelligence could aid clinicians in memory clinics in several ways, such as by supporting diagnostic decision-making, web-based cognitive testing, and the communication of diagnosis and prognosis.
objectiveThis study aims to identify the preferences as well as the main barriers and facilitators related to using computer tools in memory clinics for all end users, that is, clinicians, patients, and care partners.
methodsBetween July and October 2020, we sent out invitations to a web-based survey to clinicians using the European Alzheimer's Disease Centers network and the Dutch Memory Clinic network, and 109 clinicians participated (mean age 45 years, SD 10; 53/109, 48.6% female). A second survey was created for patients and care partners. They were invited via Alzheimer Europe, Alzheimer's Society United Kingdom, Amsterdam Dementia Cohort, and Amsterdam Aging Cohort. A total of 50 patients with subjective cognitive decline, mild cognitive impairment, or dementia (mean age 73 years, SD 8; 17/34, 34% female) and 46 care partners (mean age 65 years, SD 12; 25/54, 54% female) participated in this survey.
resultsMost clinicians reported a willingness to use diagnostic (88/109, 80.7%) and prognostic (83/109, 76.1%) computer tools. User-friendliness (71/109, 65.1%); Likert scale mean 4.5, SD 0.7), and increasing diagnostic accuracy (76/109, 69.7%; mean 4.3, SD 0.7) were reported as the main factors stimulating the adoption of a tool. Tools should also save time and provide clear information on reliability and validity. Inadequate integration with electronic patient records (46/109, 42.2%; mean 3.8, SD 1.0) and fear of losing important clinical information (48/109, 44%; mean 3.7, SD 1.2) were most frequently indicated as barriers. Patients and care partners were equally positive about the use of computer tools by clinicians, both for diagnosis (69/96, 72%) and prognosis (73/96, 76%). In addition, most of them thought favorably regarding the possibility of using the tools themselves.
conclusionsThis study showed that computer tools in memory clinics are positively valued by most end users. For further development and implementation, it is essential to overcome the technical and practical barriers of a tool while paying utmost attention to its reliability and validity.
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