The Basis for Improving and Reforming Long-Term Care, Part 2: Clinical Problem Solving and Evidence-Based Care

2009 ◽  
Vol 10 (8) ◽  
pp. 520-529 ◽  
Author(s):  
Steven A. Levenson
Keyword(s):  
Problem Solving ◽  
Long Term Care ◽  
Clinical Problem ◽  
Evidence Based ◽  
Term Care ◽  
Clinical Problem Solving ◽  
Evidence Based Care

The State of Evidence-Based Care in Long-Term Care Institutions: A Provincial Survey

2001 ◽  
Vol 20 (3) ◽  
pp. 357-372 ◽  
Author(s):  
Julie Richardson ◽  
Julie Moreland ◽  
Pat Fox
Keyword(s):  
Long Term Care ◽  
The State ◽  
Evidence Based ◽  
Term Care ◽  
Maladies Chroniques ◽  
Longue Duree ◽  
Pour Cent ◽  
Evidence Based Care ◽  
Pratique Clinique

RÉSUMÉEn Ontario (Canada), on a mené une enquête sur l'importance du recours aux directives cliniques dans les établissements de maladies chroniques et de soins de longue durée et de la prise en compte de l'opinion du personnel en matière de conditions cliniques ou de problèmes reliés au développement des directives de pratique clinique et sur les facteurs qui initient les changements de la pratique clinique. Cinq cent cinquante questionnaires ont été envoyés en deux étapes et 306 d'entre eux ont été retournés. Quarante pour cent des établissements connaissaient les directives fondées sur les résultats mais seulement 21,6 pour cent les utilisaient. Elles sont surtout utilisées par les organismes financés par le gouvernement, plus par les établissements de soins aigus qui disposent de lits pour les malades chroniques et par les centres d'accueil et moins par les organismes qui ne sont pas financés par le gouvernement. Les problèmes cliniques que les organismes jugent les plus importants pour l'élaboration des directives sont les problèmes de comportement, l'incontinence, les problèmes d'alimentation et les problèmes de soins de la peau. Les conclusions du sondage pourront servir à fixer le financement des établissements et à déterminer les cas où il faudra fonder les soins sur les résultats et ceux où l'on dispose de résultats sur lesquels constituer les soins sans toutefois s'y fier et pour comprendre les raisons de cette approche.

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.

Sign in / Sign up

Export Citation Format

Share Document