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1.
Tijdschr Gerontol Geriatr ; 54(1)2023 Jan 25.
Artículo en Holandés | MEDLINE | ID: mdl-37022048

RESUMEN

INTRODUCTION: Computer tools based on artificial intelligence could aid clinicians in memory clinics by supporting diagnostic decision-making and communicating diagnosis and prognosis. We aimed to identify preferences of end-users, and barriers and facilitators for using computer tools in memory clinics. METHODS: Between July and October 2020, we invited European clinicians (n=109, age 45±10y; 47% female) to participate in an online questionnaire. A second questionnaire was sent to patients (n=50, age 73±8y, 34% female) with subjective cognitive complaints (SCD, n=21), mild cognitive impairment (MCI, n=16) and dementia (n=13) and care partners (n=46, 65±12y, 54% female). RESULTS: The vast majority (75%) of all participants positively valued the use of computer tools in memory clinics. Facilitating factors included user-friendliness and increased diagnostic accuracy. Barriers included (doubts relating) reliability and validity of the tool and loss of clinical autonomy. The participants believe that tools should be used in addition to the current working method and not as a replacement. DISCUSSION: Our results provide an important step in the iterative process of developing computer tools for memory clinics in co-creation with end-users and could guide successful implementation.


Asunto(s)
Inteligencia Artificial , Cuidadores , Humanos , Femenino , Anciano , Anciano de 80 o más Años , Masculino , Reproducibilidad de los Resultados , Encuestas y Cuestionarios , Computadores
2.
JMIR Form Res ; 5(12): e31053, 2021 Dec 03.
Artículo en Inglés | MEDLINE | ID: mdl-34870612

RESUMEN

BACKGROUND: Computer 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. OBJECTIVE: This 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. METHODS: Between 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. RESULTS: Most 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. CONCLUSIONS: This 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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