573 DELIRIUM SCREENING QUALITY IMPROVEMENT PROJECT

2021 ◽  
Vol 50 (Supplement_2) ◽  
pp. ii8-ii13
Author(s):  
S Al-Alousi ◽  
A U Khan ◽  
E Laithwaite

Abstract Introduction Delirium is a common neuropsychiatric syndrome in patients over the age of 65 presenting to medical admissions units yet remains under-diagnosed despite significant associated mortality and morbidity. Our trust's delirium screening tool incorporates a four-step approach, with completion of validated 4AT test warranted in all those over 65 years of age admitted with increased confusion or social withdrawal. Our aim was to measure current uptake of this delirium screening and introduce measures to improve practice. Method We retrospectively collected data from medical records of patients on two Geriatric inpatient wards (42 patients) at the Leicester Royal Infirmary, to determine whether appropriate delirium screening was taking place for at-risk patients on admission. We then introduced two PDSA (plan, do, study, act) cycles: 1. teaching at departmental weekly educational meetings with sending electronic communications to all doctors in medicine highlighting importance of delirium screening; and 2. displaying posters on all admissions wards. A third cycle was planned involving visiting wards to raise awareness, however this was interrupted by the COVID pandemic. Results Initial baseline results showed only 5% (1 of 18) of at-risk patients were fully screened for delirium. Following our first intervention, this increased to 13% (3 of 23). Second intervention involving display of posters led to an increase to 44% (8 of 18) of at-risk patients being screened. Proportions of dementia were comparable across PDSA cycles. Conclusions Education, raising awareness, and display of reminder posters can improve delirium screening uptake of at-risk patients on admission to medical admission units, despite growing pressures associated with the COVID pandemic. Further interventions are planned to improve and maintain awareness and uptake of delirium screening.

2013 ◽  
Vol 37 ◽  
pp. S56
Author(s):  
Geetha Mukerji ◽  
Dina Reiss ◽  
Ferhan Siddiqi ◽  
Steven Sovran ◽  
Zoe Lysy ◽  
...  

2020 ◽  
Vol 29 (4) ◽  
pp. 1944-1955 ◽  
Author(s):  
Maria Schwarz ◽  
Elizabeth C. Ward ◽  
Petrea Cornwell ◽  
Anne Coccetti ◽  
Pamela D'Netto ◽  
...  

Purpose The purpose of this study was to examine (a) the agreement between allied health assistants (AHAs) and speech-language pathologists (SLPs) when completing dysphagia screening for low-risk referrals and at-risk patients under a delegation model and (b) the operational impact of this delegation model. Method All AHAs worked in the adult acute inpatient settings across three hospitals and completed training and competency evaluation prior to conducting independent screening. Screening (pass/fail) was based on results from pre-screening exclusionary questions in combination with a water swallow test and the Eating Assessment Tool. To examine the agreement of AHAs' decision making with SLPs, AHAs ( n = 7) and SLPs ( n = 8) conducted an independent, simultaneous dysphagia screening on 51 adult inpatients classified as low-risk/at-risk referrals. To examine operational impact, AHAs independently completed screening on 48 low-risk/at-risk patients, with subsequent clinical swallow evaluation conducted by an SLP with patients who failed screening. Results Exact agreement between AHAs and SLPs on overall pass/fail screening criteria for the first 51 patients was 100%. Exact agreement for the two tools was 100% for the Eating Assessment Tool and 96% for the water swallow test. In the operational impact phase ( n = 48), 58% of patients failed AHA screening, with only 10% false positives on subjective SLP assessment and nil identified false negatives. Conclusion AHAs demonstrated the ability to reliably conduct dysphagia screening on a cohort of low-risk patients, with a low rate of false negatives. Data support high level of agreement and positive operational impact of using trained AHAs to perform dysphagia screening in low-risk patients.


Author(s):  
Sunitha .T ◽  
Shyamala .J ◽  
Annie Jesus Suganthi Rani.A

Data mining suggest an innovative way of prognostication stereotype of Patients health risks. Large amount of Electronic Health Records (EHRs) collected over the years have provided a rich base for risk analysis and prediction. An EHR contains digitally stored healthcare information about an individual, such as observations, laboratory tests, diagnostic reports, medications, procedures, patient identifying information and allergies. A special type of EHR is the Health Examination Records (HER) from annual general health check-ups. Identifying participants at risk based on their current and past HERs is important for early warning and preventive intervention. By “risk”, we mean unwanted outcomes such as mortality and morbidity. This approach is limited due to the classification problem and consequently it is not informative about the specific disease area in which a personal is at risk. Limited amount of data extracted from the health record is not feasible for providing the accurate risk prediction. The main motive of this project is for risk prediction to classify progressively developing situation with the majority of the data unlabeled.


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