ABSTRACT
Purpose: National surveys of speech-language pathologists' (SLP) practices play an important role in professional development, and previous research show that many challenges faced by the profession are similar across the globe. This study aims to describe Swedish SLP assessment practices, examine factors that may affect this practice, and discuss the results in the light of international studies.Methods: Data from 584 SLPs were collected through an online questionnaire with multiple choice and open-ended questions. A mixed-method design was deployed where a deductive qualitative analysis of free-text responses complemented quantitative data.Results: In line with previous results from English-speaking countries, both standardized discrete skill tests and contextualized assessments were used by the respondents but fewer used language sample analysis and dynamic assessment procedures, despite international recommendations. There were few differences based on experience, work setting, proportion of multilingual assessments and socio-economic status of the health catchment area. Main challenges reported were lack of time and difficulty prioritizing, and assessment and/or diagnosis of multilingual/L2 children, which is similar to challenges faced by SLPs in other countries. Swedish SLPs also reported lack of national clinical guidelines as a main challenge. Factors contributing to better assessments included experience, and the combination of many sources of information, including professional and interprofessional discussions.Conclusions: The accumulated evidence from this and previous studies show that to address challenges and build on strengths, changes on a systemic level are needed. This includes more time and resources for continuing education and implementation of recommended assessment methods, as well as professional and interprofessional collaborations.
ABSTRACT
Sepsis is a life-threatening organ dysfunction. It is caused by a dysregulated immune response to an infection and is one of the leading causes of death in the intensive care unit (ICU). Early detection and treatment of sepsis can increase the survival rate of patients. The use of devices such as the photoplethysmograph could allow the early evaluation in addition to continuous monitoring of septic patients. The aim of this study was to verify the possibility of detecting sepsis in patients from whom the photoplethysmographic signal was acquired via a pulse oximeter. In this work, we developed a deep learning-based model for sepsis identification. The model takes a single input, the photoplethysmographic signal acquired by pulse oximeter, and performs a binary classification between septic and nonseptic samples. To develop the method, we used MIMIC-III database, which contains data from ICU patients. Specifically, the selected dataset includes 85 septic subjects and 101 control subjects. The PPG signals acquired from these patients were segmented, processed and used as input for the developed model with the aim of identifying sepsis. The proposed method achieved an accuracy of 76.37% with a sensitivity of 70.95% and a specificity of 81.04% on the test set. As regards the ROC curve, the Area Under Curve reached a value of 0.842. The results of this study indicate how the plethysmographic signal can be used as a warning sign for the early detection of sepsis with the aim of reducing the time for diagnosis and therapeutic intervention. Furthermore, the proposed method is suitable for integration in continuous patient monitoring.
ABSTRACT
Sepsis is one of the most frequent causes of death in Intensive Care Units, and its prognosis greatly depend on timeliness of diagnosis. MIMIC-III database is a frequent source of data for developing method for automatic sepsis detection. However, the heterogeneity of data jeopardize the feasibility of the task. In this work we propose a selection strategy for generating high quality data suitable for training a sepsis detection system based on the utilization of only plethysmographic data. Clinical relevance A system for detecting sepsis based only on PPG may be potentially at virtually no cost in any case clinicians suspect the possibility of developing sepsis.
