Anabela G. Silva

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Professor / Professora Coordenadora Principal

Universidade de Aveiro
Country flagPortugal

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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

PORTUGAL
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Juan Carlos López

Professor

University of Castilla-La Mancha

SPAIN
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Javier Dorado Chaparro

Profesor Ayudante

University of Castilla-La Mancha

SPAIN
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Rubén Cantarero Navarro

University of Castilla-La Mancha

SPAIN
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Telmo Silva

Assistant professor

Universidade de Aveiro

PORTUGAL
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Nelson Pacheco Rocha

Universidade de Aveiro

PORTUGAL
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Maria J. Santofimia

Profesor Contratado Doctor Interino

University of Castilla-La Mancha

SPAIN
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Eduardo Cruz

Universidade de Aveiro

PORTUGAL
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Oscar Ribeiro

Universidade de Aveiro

PORTUGAL
View details
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