Knowledge and Practice of Health Professionals in the Management of Dysphagia

Sánchez-Sánchez, Eduardo; Avellaneda-López, Ylenia; García-Marín, Esperanza; Ramírez-Vargas, Guillermo; Díaz-Jiménez, Jara; Ordóñez, Francisco Javier

doi:10.3390/ijerph18042139

Cited by 19 publications

(9 citation statements)

References 35 publications

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“…On the other hand, professionals have significant knowledge deficits in dysphagia management, and incorrect knowledge can be passed to patients. One study reported that 35.8% professionals did not know the definition of dysphagia as a swallowing disorder (Sánchez‐Sánchez et al, 2021). The lack of knowledge of healthcare professionals can lead to appropriate practices and increase the complications of dysphagia, which is an important barrier to the management of dysphagia patients.…”

Section: Discussionmentioning

confidence: 99%

Experiences and perceptions of stroke patients living with dysphagia: A qualitative meta‐synthesis

Qiu

Shi

et al. 2021

Journal of Clinical Nursing

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Aims To systematically review and synthesise the findings of qualitative research exploring experiences of dysphagia from stroke patients' perspectives. Background Poststroke patients with dysphagia are suffering from impaired physical functions and heavy psychological burden, and they are living with compromised quality of life. Through synthesising qualitative studies to fully portrait the experiences of poststroke patients living with dysphagia, we can care better for this population. Design A systematic review and synthesis of qualitative studies reported by following ENTREQ. Review Methods Five electronic databases (CINAHL, Embase, PubMed, Web of Science and Cochrane Library) and three Chinese databases (CNKI, VIP and Wanfang) were searched from inception until January 2021. Qualitative studies were included if they were related to the experiences of poststroke patients with dysphagia. The Joanna Briggs Institute Qualitative Assessment and Review Instrument (JBI‐QARI) was used to appraise study quality. Data were synthesised using the Thomas and Harden method thematic and content analysis. Results Five studies were included in the meta‐synthesis. Four analytical themes were identified: life changes after dysphagia, coping with social events, rebuilding a normal life and limited professional services. Conclusions More attention should be given to psychological health and social interaction in poststroke dysphagia patients. Healthcare professionals, especially nurses, should make joint efforts to provide patients with dysphagia‐related knowledge and long‐term individualised support. To improve the quality of life of dysphagia patients, further research should implement high‐quality interventions based on dysphagia experience and clinical treatment. Relevance to clinical practice These findings outline the changes in poststroke patients with dysphagia. Nurses as the first‐line force, should deliver comprehensive and individualised intervention for managing physiological and psychosocial symptoms of patients.

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Section: Discussionmentioning

confidence: 99%

Experiences and perceptions of stroke patients living with dysphagia: A qualitative meta‐synthesis

Qiu

Shi

et al. 2021

Journal of Clinical Nursing

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“…Nevertheless, the prevalence of dysphagia is difficult to estimate and varies according to age, patient environment (out‐ or in‐patients), the assessment tool used for diagnosis and clinical expression (bronchitis, pneumonia, silent aspiration). The condition is mostly silent 10 and is mainly detected among elderly patients after hospital admission for concomitant conditions that can be either a cause or a consequence of dysphagia, 11 without it being the main cause of hospitalization.…”

Section: Introductionmentioning

confidence: 99%

Dysphagia in hospitalized patients: Prevalence, related factors and impact on aspiration pneumonia and mortality

Bosch

Comas

Domingo

et al. 2022

Eur J Clin Investigation

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Background Oropharyngeal dysphagia can be highly concerning in hospitalized patients, increasing morbidity and mortality, making its early identification essential. We aimed to characterize dysphagia and its association with aspiration pneumonia and mortality in a tertiary hospital in Barcelona, Spain. Methods Using data from all hospital discharges during the period 2018–2021, we identified the characteristics of patients with dysphagia and their distribution among hospital departments through the minimum data set, which codifies patients' diagnoses according to the International Classification of Diseases 10th Revision (ICD‐10). We used logistic regression models to assess the association between dysphagia, aspiration pneumonia and mortality. Results Dysphagia was present in 2.4% of all hospital discharges and was more frequent in older patients and in men. The diagnoses most frequently associated with dysphagia were aspiration pneumonia (48.2%) and stroke (14%). Higher prevalence of dysphagia was found in the acute geriatric unit (10.3%), neurology (7.6%) and internal medicine (7.5%) wards. Dysphagia was associated with aspiration pneumonia, aOR = 8.04 (95%CI, 6.31–10.25), and independently increased the odds of death among hospitalized patients, aOR = 1.43 (95%CI, 1.19–1.73). Conclusions We conclude that dysphagia is a prevalent and transversal condition, increasing the risk of mortality in all patients, and efforts should be intensified to increase its early detection and correct management.

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“…The shortage of dysphagia experts and raters to rate FEES for diagnostic purposes has become a serious social problem 68 , 69 . The lack of timely diagnosis and treatment of dysphagia results in longer hospital lengths of stay, longer rehabilitation time, higher mortality, and higher healthcare expense 69 – 71 .…”

Section: Discussionmentioning

confidence: 99%

Expert-level aspiration and penetration detection during flexible endoscopic evaluation of swallowing with artificial intelligence-assisted diagnosis

Weng

Imaizumi

Murono

et al. 2022

Sci Rep

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Flexible endoscopic evaluation of swallowing (FEES) is considered the gold standard in diagnosing oropharyngeal dysphagia. Recent advances in deep learning have led to a resurgence of artificial intelligence-assisted computer-aided diagnosis (AI-assisted CAD) for a variety of applications. AI-assisted CAD would be a remarkable benefit in providing medical services to populations with inadequate access to dysphagia experts, especially in aging societies. This paper presents an AI-assisted CAD named FEES-CAD for aspiration and penetration detection on video recording during FEES. FEES-CAD segments the input FEES video and classifies penetration, aspiration, residue in the vallecula, and residue in the hypopharynx based on the segmented FEES video. We collected and annotated FEES videos from 199 patients to train the network and tested the performance of FEES-CAD using FEES videos from other 40 patients. These patients consecutively underwent FEES between December 2016 and August 2019 at Fukushima Medical University Hospital. FEES videos were deidentified, randomized, and rated by FEES-CAD and laryngologists with over 15 years of experience in performing FEES. FEES-CAD achieved an average Dice similarity coefficient of 98.6$$\%$$ % . FEES-CAD achieved expert-level accuracy performance on penetration (92.5$$\%$$ % ), aspiration (92.5$$\%$$ % ), residue in the vallecula (100$$\%$$ % ), and residue in the hypopharynx (87.5$$\%$$ % ) classification tasks. To the best of our knowledge, FEES-CAD is the first CNN-based system that achieves expert-level performance in detecting aspiration and penetration.

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Knowledge and Practice of Health Professionals in the Management of Dysphagia

Cited by 19 publications

References 35 publications

Experiences and perceptions of stroke patients living with dysphagia: A qualitative meta‐synthesis

Experiences and perceptions of stroke patients living with dysphagia: A qualitative meta‐synthesis

Dysphagia in hospitalized patients: Prevalence, related factors and impact on aspiration pneumonia and mortality

Expert-level aspiration and penetration detection during flexible endoscopic evaluation of swallowing with artificial intelligence-assisted diagnosis

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