Aims: Poor oral health is a risk factor for aspiration pneumonia (AP), especially in elderly patients at risk of oropharyngeal dysphagia (OD). In Portugal, available tools to screen oral problems in nursing homes are scarce. The oral health assessment tool (OHAT) is a screening tool that assesses elderly residents' oral health. This study aims to translate and validate the tool for the European Portuguese (EP) context.
Methods: The original version was translated into EP throughout a forward-backward translation process. An instruction manual was created. Content of both documents were assessed by a panel of eight experts. The content validity Index was calculated. A reliability study was conducted in three nursing homes by two speech and language therapists in two different moments, separated by 48 h.
Results: A sample of 30 institutionalized elderly with a mean age of 77 years was analyzed. The EP version and its instruction manual presented a content validity Index greater than 0.88 in all its items. Total scores showed excellent inter-rater and good intra-rater results.
Conclusion: The EP version showed to be a reliable and valid tool for the screening of oral health conditions of institutionalized older adults at risk of OD.
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http://dx.doi.org/10.1111/scd.12724 | DOI Listing |
PLoS One
January 2025
Department of Microbiology and Hygiene, Mymensingh, Bangladesh.
Pseudomonas aeruginosa (P. aeruginosa) is a major pathogen associated conditions like septicaemia, respiratory disorders, and diarrhoea in poultry, particularly in Japanese quail (Coturnix japonica). The infection causes huge economical losses due to its high transmissibility, mortality and zoonotic potential.
View Article and Find Full Text PDFPLoS One
January 2025
Discipline of Pharmaceutical Sciences, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
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View Article and Find Full Text PDFPLoS One
January 2025
Substitutive Dental Sciences Department (Prosthodontics), College of Dentistry, Taibah University, Al Madinah, Saudi Arabia.
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PLoS One
January 2025
Nova School of Business and Economics, Universidade Nova de Lisboa, Carcavelos, Portugal.
This empirical study assessed the potential of developing a machine-learning model to identify children and adolescents with poor oral health using only self-reported survey data. Such a model could enable scalable and cost-effective screening and targeted interventions, optimizing limited resources to improve oral health outcomes. To train and test the model, we used data from 2,133 students attending schools in a Portuguese municipality.
View Article and Find Full Text PDFScand J Clin Lab Invest
January 2025
Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Background: Direct oral anticoagulants (DOACs) can interfere with coagulation analyses, causing erroneous results such as false-positive lupus anticoagulant and false-normal antithrombin, threatening patient safety when overlooked. A test using a prothrombin time quotient method to detect DOAC presence in plasma samples is now commercially available, the MRX PT DOAC, with the result expressed as Clot Time Ratio (CTR).
Objectives: Evaluate the ability of MRX PT DOAC to identify interfering apixaban or rivaroxaban concentrations, identify non-interfering or interfering patient samples, and detect whether a patient is on DOAC treatment.
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