Browsing by Author "Ferreira, J. J."
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- Commentary: A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s diseasePublication . Domingos, J.; Godinho, C.; Ferreira, J. J."Technologies may have implications for improving clinical diagnosis and prognosis, and for the development of therapeutic interventions, specific biomarkers, and preventive strategies. Given the amount of existing and ever-growing quantitative assessments using technology in PD, clinicians, patients and researchers are faced with the challenge of deciding which assessment tool to use in the laboratory, clinic and home environment. In order to facilitate this decision-making a systematic review was done to identify and classify the available monitoring technologies for individuals with PD over the last 2 decades. This is a commentary on the systematic review which adds on discussion on some controversial issues in the area. It tackles some of current open-to-discussion topics in the technology field, such as: which definitions to use, the heterogeneity of the clinimetric properties among technologies, standardization of a validation process, how to group different measuring technologies, and the need to conduct further studies on existing technologies before developing new ones. The strength of this comprehensive, timely and useful review is the detailed and robust approach taken by authors to classify technologies as listed, suggested, or recommended for the assessment of individuals with PD."
- Commentary: Quantitative home-based assessment of Parkinson’s symptoms: The SENSE-PARK feasibility and usability studyPublication . Godinho, C.; Domingos, J.; Ferreira, J. J."Healthcare professionals and pharmaceutical companies invest a great amount of time and effort in continuously creating electronic health solutions. These technology system developments may represent a step forward in care as ultimately it is not possible to manage what cannot be evaluated. Yet, the use of future generations of technology depends on their specific design, fabrication, distribution, and, most importantly, patients adopting these new technologies as life companions. Data management and the use of artificial intelligence appear as new technological challenges. The overload, sharing and handling of information give rise to new legal, social, and ethical discussions in a field where there is a lack of universal criteria for data ownership, privacy and sharing. Future technological progress requires much cooperation between multidisciplinary teams including sufficient sharing and benchmarking within open access frameworks"
- Undernutrition in institutionalized elderly patients with neurological diseases: comparison between different diagnostic criteriaPublication . Miranda, D.; Cardoso, R.; Gomes, R.; Guimarães, I.; Abreu, D. de; Godinho, C.; Pereira, P.; Domingos, J.; Nona, N.; Ferreira, J. J."Objectives: To determine and compare the frequency of undernutrition in institutionalized elderly patients with neurological diseases at admission using different nutritional assessment tools. Design: Cross-sectional observational study. Setting: One long-term care institution specialized in neurodegenerative diseases. Participants: 92 Elderly people (aged ≥ 65 years) with at least one neurological condition. Measurements: Mini Nutritional Assessment (MNA), body mass index (BMI), mid-arm (MAC) and calf circumferences (CC) were used for nutritional status assessment. Presence and severity of dysphagia, polypharmacy and feeding difficulties were also assessed. Results: According to MNA, 77.1% of the participants were undernourished at admission. BMI identified 46.8%, MAC identified 44.6% and CC identified 22.8% of undernourished participants. Undernutrition was more frequent in Alzheimer’s disease, stroke and dementia syndromes. 63% had dysphagia for at least one food consistence and most of these patients were malnourished. MNA revealed best concordance with BMI and MAC than with CC. BMI and feeding difficulties were the major risk factors for undernutrition. Conclusion: Undernutrition prevalence in institutionalized elderly with neurological diseases at admission is high. Nutritional assessment tools revealed low concordance between them."