Evidence-Based Review of Risk Factors for Geriatric Depression and Brief Preventive Interventions

2005 ◽  
Vol 28 (4) ◽  
pp. 785-803 ◽  
Author(s):  
Martin G. Cole
Keyword(s):  
Risk Factors ◽  
Evidence Based ◽  
Preventive Interventions ◽  
Geriatric Depression

Evidence-Based Strategies for the Prevention of Chronic Post–Intensive Care and Acute Care–Related Pain

2019 ◽  
Vol 30 (4) ◽  
pp. 320-334
Author(s):  
Melanie Bérubé
Keyword(s):  
Risk Factors ◽  
Chronic Pain ◽  
Intensive Care ◽  
Acute Care ◽  
Mechanisms Of Action ◽  
Evidence Based ◽  
Preventive Interventions ◽  
Levels Of Evidence

Chronic pain is prevalent in intensive care survivors and in patients who require acute care treatments. Many adverse consequences have been associated with chronic post-intensive care and acute care-related pain. Hence, interest in interventions to prevent these pain disorders has grown. To improve the understanding of the mechanisms of action of these interventions and their potential impacts, this article outlines the pathophysiology involved in the transition from acute to chronic pain, the epidemiology and consequences of chronic post-intensive care and acute care- related pain, and risk factors for the development of chronic pain. Pharmacological, nonpharmacological, and multimodal preventive interventions specific to the targeted populations and their levels of evidence are presented. Nursing implications for preventing chronic pain in patients receiving critical and acute care are also discussed.

The Preschool Stuttering Screen for Health Care Professionals

2011 ◽  
Vol 21 (2) ◽  
pp. 59-62
Author(s):  
Joseph Donaher ◽  
Christina Deery ◽  
Sarah Vogel
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Differential Diagnosis ◽  
Preschool Children ◽  
Health Care Professionals ◽  
Healthcare Professionals ◽  
Evidence Based ◽  
Developmental Profile

Healthcare professionals require a thorough understanding of stuttering since they frequently play an important role in the identification and differential diagnosis of stuttering for preschool children. This paper introduces The Preschool Stuttering Screen for Healthcare Professionals (PSSHP) which highlights risk factors identified in the literature as being associated with persistent stuttering. By integrating the results of the checklist with a child’s developmental profile, healthcare professionals can make better-informed, evidence-based decisions for their patients.

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

Nonsuicidal Self-Injury Among Youth

2018 ◽  
Author(s):  
Adam Bryant Miller ◽  
Maya Massing-Schaffer ◽  
Sarah Owens ◽  
Mitchell J. Prinstein
Keyword(s):  
Risk Factors ◽  
Applied Research ◽  
Evidence Based ◽  
Prevalence Rates ◽  
Evidence Based Treatment ◽  
The Past ◽  
Self Injury ◽  
Assessment Techniques ◽  
Basic And Applied Research ◽  
Nonsuicidal Self Injury

Nonsuicidal self-injury (NSSI) is direct, intentional harm to one’s own body performed without the intent to die. NSSI has a marked developmental onset reaching peak prevalence in adolescence. NSSI is present in the context of multiple psychological disorders and stands alone as a separate phenomenon. Research has accumulated over the past several decades regarding the course of NSSI. While great advances have been made, there remains a distinct need for basic and applied research in the area of NSSI. This chapter reviews prevalence rates, correlates and risk factors, and leading theories of NSSI. Further, it reviews assessment techniques and provides recommendations. Then, it presents the latest evidence-based treatment recommendations and provides a case example. Finally, cutting edge research and the next frontier of research in this area are outlined.

scholarly journals Sleep quality and COVID-19 outcomes: the evidence-based lessons in the framework of predictive, preventive and personalised (3P) medicine

2021 ◽  
Author(s):  
Kneginja Richter ◽  
Stefanie Kellner ◽  
Thomas Hillemacher ◽  
Olga Golubnitschaja
Keyword(s):  
Risk Factors ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Acute Infection ◽  
Evidence Based ◽  
Physical And Mental Health ◽  
Mild Disease ◽  
Depth Analysis ◽  
Medical Approach ◽  
Poor Outcomes

AbstractSleep quality and duration play a pivotal role in maintaining physical and mental health. In turn, sleep shortage, deprivation and disorders are per evidence the risk factors and facilitators of a broad spectrum of disorders, amongst others including depression, stroke, chronic inflammation, cancers, immune defence insufficiency and individual predisposition to infection diseases with poor outcomes, for example, related to the COVID-19 pandemic. Keeping in mind that COVID-19-related global infection distribution is neither the first nor the last pandemic severely affecting societies around the globe to the costs of human lives accompanied with enormous economic burden, lessons by predictive, preventive and personalised (3P) medical approach are essential to learn and to follow being better prepared to defend against global pandemics. To this end, under extreme conditions such as the current COVID-19 pandemic, the reciprocal interrelationship between the sleep quality and individual outcomes becomes evident, namely, at the levels of disease predisposition, severe versus mild disease progression, development of disease complications, poor outcomes and related mortality for both - population and healthcare givers. The latter is the prominent example clearly demonstrating the causality of severe outcomes, when the long-lasting work overload and shift work rhythm evidently lead to the sleep shortage and/or deprivation that in turn causes immune response insufficiency and strong predisposition to the acute infection with complications. This article highlights and provides an in-depth analysis of the concerted risk factors related to the sleep disturbances under the COVID-19 pandemic followed by the evidence-based recommendations in the framework of predictive, preventive and personalised medical approach.

Risk factors for attrition from an evidence-based parenting program: Findings from the Netherlands

2016 ◽  
Vol 64 ◽  
pp. 42-50 ◽  
Author(s):  
Mariëlle E. Abrahamse ◽  
Larissa N. Niec ◽  
Marianne Junger ◽  
Frits Boer ◽  
Ramón J.L. Lindauer
Keyword(s):  
Risk Factors ◽  
The Netherlands ◽  
Parenting Program ◽  
Evidence Based

scholarly journals Tweeting back: predicting new cases of back pain with mass social media data

2015 ◽  
Vol 23 (3) ◽  
pp. 644-648 ◽  
Author(s):  
Hopin Lee ◽  
James H McAuley ◽  
Markus Hübscher ◽  
Heidi G Allen ◽  
Steven J Kamper ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Media ◽  
Back Pain ◽  
Health Interventions ◽  
Future Research ◽  
Preventive Interventions ◽  
Public Health Interventions ◽  
Social Media Data ◽  
Media Data ◽  
Global Health Problem

Background Back pain is a global health problem. Recent research has shown that risk factors that are proximal to the onset of back pain might be important targets for preventive interventions. Rapid communication through social media might be useful for delivering timely interventions that target proximal risk factors. Identifying individuals who are likely to discuss back pain on Twitter could provide useful information to guide online interventions. Methods We used a case-crossover study design for a sample of 742 028 tweets about back pain to quantify the risks associated with a new tweet about back pain. Results The odds of tweeting about back pain just after tweeting about selected physical, psychological, and general health factors were 1.83 (95% confidence interval [CI], 1.80-1.85), 1.85 (95% CI: 1.83-1.88), and 1.29 (95% CI, 1.27-1.30), respectively. Conclusion These findings give directions for future research that could use social media for innovative public health interventions.

The Diagnostic Assessment of Suspected Pulmonary Embolism on the Acute Medical Take: An Evidence Based Guide

2007 ◽  
Vol 6 (1) ◽  
pp. 20-26
Author(s):  
Alastair Proudfoot ◽  
◽  
Derek Bell ◽  
Keyword(s):  
Risk Factors ◽  
Pulmonary Embolism ◽  
Venous Thromboembolism ◽  
Clinical Presentation ◽  
Diagnostic Assessment ◽  
Evidence Based ◽  
Suspected Pulmonary Embolism ◽  
The Subject ◽  
Adjusted Incidence ◽  
Age And Sex

Pulmonary Embolism is a common cardiopulmonary illness with an age and sex adjusted incidence of around 117 cases per 100 000 person years. The clinical presentation is extremely heterogeneous and non specific. Risk factors for venous thromboembolism are well established. When combined with presenting features and investigations. a multimodality algorithm has led to significant changes in the diagnostic approach of suspected PE. While the best combination of tests for any individual patient remains the subject of controversy this article aims to rationalise the acute physician’s approach to diagnosis and use of available investigations.

The relative importance of falls risk factors: an evidence-based summary

2010 ◽  
pp. 161-172
Author(s):  
Stephen R. Lord ◽  
Catherine Sherrington ◽  
Hylton B. Menz ◽  
Jacqueline C. T. Close
Keyword(s):  
Risk Factors ◽  
Evidence Based ◽  
Relative Importance ◽  
Falls Risk
Sign in / Sign up

Export Citation Format

Share Document