Evidence-based treatments for behavioral disturbances in long-term care.

2012 ◽  
pp. 167-223 ◽  
Author(s):  
Kim J. Curyto ◽  
Kelly M. Trevino ◽  
Suzann Ogland-Hand ◽  
Peter Lichtenberg
Keyword(s):  
Long Term Care ◽  
Evidence Based ◽  
Behavioral Disturbances ◽  
Term Care ◽  
Evidence Based Treatments

Design and Development of a Web-based Delirium Preventive Application for Long-term Care Facilities: A Methodological Study (Preprint)

2020 ◽  
Author(s):  
Kyoung Ja Moon ◽  
Chang-Sik Son ◽  
Jong-Ha Lee ◽  
Mina Park
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Cloud System ◽  
Evidence Based ◽  
Methodological Study ◽  
Term Care ◽  
Web Based ◽  
Care Facilities ◽  
Delirium Prevention

BACKGROUND Long-term care facilities demonstrate low levels of knowledge and care for patients with delirium and are often not properly equipped with an electronic medical record system, thereby hindering systematic approaches to delirium monitoring. OBJECTIVE This study aims to develop a web-based delirium preventive application (app), with an integrated predictive model, for long-term care (LTC) facilities using artificial intelligence (AI). METHODS This methodological study was conducted to develop an app and link it with the Amazon cloud system. The app was developed based on an evidence-based literature review and the validity of the AI prediction model algorithm. Participants comprised 206 persons admitted to LTC facilities. The app was developed in 5 phases. First, through a review of evidence-based literature, risk factors for predicting delirium and non-pharmaceutical contents for preventive intervention were identified. Second, the app, consisting of several screens, was designed; this involved providing basic information, predicting the onset of delirium according to risk factors, assessing delirium, and intervening for prevention. Third, based on the existing data, predictive analysis was performed, and the algorithm developed through this was calculated at the site linked to the web through the Amazon cloud system and sent back to the app. Fourth, a pilot test using the developed app was conducted with 33 patients. Fifth, the app was finalized. RESULTS We developed the Web_DeliPREVENT_4LCF for patients of LTC facilities. This app provides information on delirium, inputs risk factors, predicts and informs the degree of delirium risk, and enables delirium measurement or delirium prevention interventions to be immediately implemented with a verified tool. CONCLUSIONS This web-based application is evidence-based and offers easy mobilization and care to patients with delirium in LTC facilities. Therefore, the use of this app improves the unrecognized of delirium and predicts the degree of delirium risk, thereby helping initiatives for delirium prevention and providing interventions. This would ultimately improve patient safety and quality of care. CLINICALTRIAL none

Evidence-based deprescribing of proton pump inhibitors in long-term care

2018 ◽  
Vol 14 (2) ◽  
pp. 124-126 ◽  
Author(s):  
Janet K. Sluggett ◽  
Ivanka Hendrix ◽  
J. Simon Bell
Keyword(s):  
Proton Pump Inhibitors ◽  
Proton Pump ◽  
Long Term Care ◽  
Evidence Based ◽  
Term Care

scholarly journals Gauze Packing of Open Surgical Wounds: Empirical or Evidence-Based Practice?

2006 ◽  
Vol 88 (1) ◽  
pp. 33-36 ◽  
Author(s):  
F Dinah ◽  
A Adhikari
Keyword(s):  
Wound Dressing ◽  
Long Term Care ◽  
Wound Care ◽  
Operating Theatre ◽  
Evidence Based ◽  
Term Care ◽  
Community Or ◽  
Secondary Intention ◽  
Surgical Wounds

INTRODUCTION Most surgical wounds are closed primarily, but some are allowed to heal by secondary intention. This usually involves repeated packing and dressing of the raw wound surfaces. Although the long-term care of such wounds has devolved to the care of nurses in the community or out-patient setting, the initial wound dressing or cavity packing is done by the surgeon in the operating theatre. Many surgeons are unaware of the growth of the discipline of wound care, and still use traditional soaked gauze for dressing and packing open surgical wounds and cavities. RESULTS This review summarises the some of the modern alternatives available and the evidence – or the lack of it – for their use in both the acute and chronic setting.

Long term care staff beliefs about evidence based practices for the management of dementia and agitation

2009 ◽  
Vol 24 (2) ◽  
pp. 118-124 ◽  
Author(s):  
Liat Ayalon ◽  
Patricia Arean ◽  
Heather Bornfeld ◽  
Renee Beard
Keyword(s):  
Long Term Care ◽  
Care Staff ◽  
Evidence Based ◽  
Term Care ◽  
Evidence Based Practices

Moving the needle on nursing staff influenza vaccination in long-term care: Results of an evidence-based intervention

Vaccine ◽  
2017 ◽  
Vol 35 (18) ◽  
pp. 2390-2395 ◽  
Author(s):  
Cori L. Ofstead ◽  
Miriam R. Amelang ◽  
Harry P. Wetzler ◽  
Litjen Tan
Keyword(s):  
Influenza Vaccination ◽  
Nursing Staff ◽  
Long Term Care ◽  
Evidence Based ◽  
Term Care
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