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
2011 ◽  
Vol 21 (2) ◽  
pp. 59-62
Author(s):  
Joseph Donaher ◽  
Christina Deery ◽  
Sarah Vogel

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.


2020 ◽  
Author(s):  
Kyoung Ja Moon ◽  
Chang-Sik Son ◽  
Jong-Ha Lee ◽  
Mina Park

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


Author(s):  
Adam Bryant Miller ◽  
Maya Massing-Schaffer ◽  
Sarah Owens ◽  
Mitchell J. Prinstein

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.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Christopher Mark Joll

Abstract This article explores how scholarship can be put to work by specialists penning evidence-based policies seeking peaceful resolutions to long-standing, complex, and so-far intractable conflict in the Malay-Muslim dominated provinces of South Thailand. I contend that more is required than mere empirical data, and that the existing analysis of this conflict often lacks theoretical ballast and overlooks the wider historical context in which Bangkok pursued policies impacting its ethnolinguistically, and ethnoreligiously diverse citizens. I demonstrate the utility of both interacting with what social theorists have written about what “religion” and language do—and do not—have in common, and the relative importance of both in sub-national conflicts, and comparative historical analysis. The case studies that this article critically introduces compare chapters of ethnolinguistic and ethnoreligious chauvinism against a range of minorities, including Malay-Muslim citizens concentrated in the southern provinces of Pattani, Yala, and Narathiwat. These include Buddhist ethnolinguistic minorities in Thailand’s Northeast, and Catholic communities during the second world war widely referred to as the high tide of Thai ethno-nationalism. I argue that these revealing aspects of the southern Malay experience need to be contextualized—even de-exceptionalized.


2021 ◽  
Author(s):  
Kneginja Richter ◽  
Stefanie Kellner ◽  
Thomas Hillemacher ◽  
Olga Golubnitschaja

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.


2018 ◽  
Vol 62 ◽  
pp. 139-157 ◽  
Author(s):  
Yusra Bibi Ruhomally ◽  
Nabeelah Banon Jahmeerbaccus ◽  
Muhammad Zaid Dauhoo

We study the NERA model that describes the dynamic evolution of illicit drug usage in a population. The model consists of nonusers (N) and three categories of drug users: the experimental (E) category, the recreational (R) category and the addict (A) category. Two epidemic threshold term known as the reproduction numbers, R0 and μ are defined and derived. Sensitivity analysis of R0 on the parameters are performed in order to determine their relative importance to illicit drug prevalence. The local and global stability of the equilibrium states are also analysed. We also prove that a transcritical bifurcation occurs at R0 = 1. It is shown that an effective campaign of prevention can help to fight against the prevalence of illicit drug consumption. We demonstrate persistence when R0 > 1 and conditions for the extinction of drug consumption are also established. Numerical simulations are performed to verify our model. Our results show that the NERA model can assist policy makers in targeting prevention for maximum effectiveness and can be used to adopt evidence-based policies to better monitor and quantify drug use trends.


2016 ◽  
Vol 64 ◽  
pp. 42-50 ◽  
Author(s):  
Mariëlle E. Abrahamse ◽  
Larissa N. Niec ◽  
Marianne Junger ◽  
Frits Boer ◽  
Ramón J.L. Lindauer

2001 ◽  
Vol 7 (1) ◽  
pp. 38-45 ◽  
Author(s):  
David Evans ◽  
Brent Hodgkinson ◽  
Leonnie Lambert ◽  
Jacquelin Wood

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