Abstract WP282: Protecting Stroke Patients from Aspiration and Mortality through a Bedside Aspiration Screen
| Autor: | Edith Matesic |
|---|---|
| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | Stroke. 44 |
| ISSN: | 1524-4628 0039-2499 |
| DOI: | 10.1161/str.44.suppl_1.awp282 |
| Popis: | Background: Stroke patients initially experience dysphagia approximately 42-76% of the time, putting them at high risk for developing aspiration pneumonia and increasing the risk of death threefold in the first 30 days following onset of the condition. Interventions to identify risk for aspiration pneumonia are key to reducing mortality in hospitalized patients. However, no generally recognized bedside aspiration screen exists, and few have been rigorously tested. The Edith-Huhn-Matesic Bedside Aspiration Screen (EHMBAS) TM was developed as an evidence-based RN bedside aspiration screening protocol. Purpose: This study analyzed the sensitivity and inter-rater reliability of EHMBAS TM , assessed the efficacy of training methods, evaluated patient feedback, and looked at the impact of organizational learning. Methods: RNs were trained to apply the EHMBAS TM . An evaluation study assessed the sensitivity, specificity and predictability of the screen to detect aspiration in the stroke population study group. Cohen’s Kappa statistics was applied to test inter-rater reliability. Pre- and post-implementation Likert surveys examined patient and staff satisfaction on the education plan and screening process, respectively. Lastly, an analysis of organizational learning examined whether changes enhanced adherence to screening requirements. Results: Results showed that the EHMBAS TM demonstrated strong validity (94% sensitivity) and high inter-rater reliability (Kappa = .92, p Conclusions: This study contributes to the body of work aimed at establishing a reliable evidence-based, bedside aspiration screen. Patient safety is enhanced, because screen results help determine when patients can safely receive medication and nutrition by mouth. |
| Databáze: | OpenAIRE |
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