Anabela G. Silva
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Professor / Professora Coordenadora Principal
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About
Professor Anabela G. Silva is a Professora Coordenadora Principal at Universidade de Aveiro, Portugal. Her research primarily focuses on the intersections of chronic pain, cognitive function in older adults, and the implementation of technology in health care settings. Recent articles highlight her expertise in patient-oriented applications for chronic musculoskeletal pain, cognitive assessments, and the use of digital solutions to enhance health outcomes for older populations.
Recent Grants
Grant: Close
Cost action CA20104 - Network on evidence-based physical activity in old age (PhysAgeNet)
Open Date: 2021-01-01
Close Date: 2025-01-01
Grant: Close
Estratégia Municipal de Saúde
Open Date: 2021-01-01
Close Date: 2022-01-01
Grant: Close
AvaliaDor
Open Date: 2020-01-01
Close Date: 2021-01-01
Grant: Close
ActiVas - Ambientes Construídos para uma Vida Ativa, Segura e Saudável
Open Date: 2020-01-01
Close Date: 2023-01-01
Grant: Close
Smart-health-4-all - smart medical technologies for better health and care
Open Date: 2020-01-01
Close Date: 2023-01-01
Articles (20)
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2025
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2025
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2025
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2025
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2025
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2025
The early detection of cognitive impairment is essential in order to initiate interventions and guarantee access to healthcare services. Digital solutions are emerging in the literature as an alternative approach to cognitive screening. Our primary goal is to synthesize the evidence on digital solutions’ diagnostic ability to screen for cognitive impairment and their accuracy. A secondary goal is to distinguish whether the ability to screen for cognitive impairment varies as a function of the type of digital solution: paper-based or innovative digital solutions. A systematic review and meta-analysis of digital solutions’ diagnostic accuracy were conducted, including 25 studies. Digital solutions presented a variable diagnostic accuracy range. Innovative digital solutions offered at least 0.78 of sensitivity but showed lower specificity levels than the other subgroup. Paper-based digital solutions revealed at least 0.72 of specificity, but sensitivity started at 0.49. Most digital solutions do not demand the presence of a trained professional and include an automatic digital screening system and scoring, which can enhance cognitive screening and monitoring. Digital solutions can potentially be used for cognitive screening in the community and clinical practice, but more investigation is needed for an evidence-based decision. A careful assessment of the accuracy levels and quality of evidence of each digital solution is recommended.
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2024
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2024
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2024
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2024
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2023
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2023
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2023
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2023
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2022
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2022
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2022
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2022
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2022
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2022
Collaborators (9)
gonçalo santinha
Professor Auxiliar
Universidade de Aveiro
Juan Carlos López
Professor
University of Castilla-La Mancha
Javier Dorado Chaparro
Profesor Ayudante
University of Castilla-La Mancha
Rubén Cantarero Navarro
University of Castilla-La Mancha
Telmo Silva
Assistant professor
Universidade de Aveiro
Nelson Pacheco Rocha
Universidade de Aveiro
Maria J. Santofimia
Profesor Contratado Doctor Interino
University of Castilla-La Mancha
Eduardo Cruz
Universidade de Aveiro
Oscar Ribeiro
Universidade de Aveiro
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