Proffitt et al. have described "effectiveness and efficiency" (E&E) as achieving desired results without wasting the orthodontist's and patients' time. In 1972, Archibald Cochrane published a monograph entitled "Effectiveness and Efficiency," which challenged the medical community to use medical protocols that were evidence-based. As a possible starting point for E&E, the orthodontist could consider an "Evidence-based clinical practice" (EBCP) model, which integrates the best research evidence with clinical expertise and patient values. This model considers scientific or evidence-based orthodontics (EBO) together with patient preferences and patient autonomy, clinical or patient circumstances, and clinical experience and judgment. In this paper, therefore, E&E will be discussed from an EBCP perspective which, for our purposes, includes relevant evidence but also our clinical experience and rationale. We will discuss: wire sequence; NiTi Wire types; space closure by sliding; canine retraction versus en masse retraction, 18" slot versus 22" slot, the Bidimensional System; self-ligating brackets (SL); vertical slot; economic aspects.
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http://dx.doi.org/10.1016/j.ortho.2015.09.015 | DOI Listing |
Int J Lang Commun Disord
January 2025
Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK.
Background: There is a growing body of evidence showing the value of community singing-based rehabilitation on psychosocial well-being and communication for people with post-stroke communication impairment (PSCI). However, there has been little consideration of the potential value an inpatient aphasia-friendly choir may have through the perspective of the stroke multidisciplinary team (MDT).
Aims: To explore the experiences and views of the MDT on the role an established inpatient aphasia-friendly choir, at a stroke rehabilitation centre in South Wales, UK, may play in the rehabilitation of people with PSCI.
PLoS One
January 2025
College of Business, Southern University of Science and Technology, Shenzhen, China.
In credit risk assessment, unsupervised classification techniques can be introduced to reduce human resource expenses and expedite decision-making. Despite the efficacy of unsupervised learning methods in handling unlabeled datasets, their performance remains limited owing to challenges such as imbalanced data, local optima, and parameter adjustment complexities. Thus, this paper introduces a novel hybrid unsupervised classification method, named the two-stage hybrid system with spectral clustering and semi-supervised support vector machine (TSC-SVM), which effectively addresses the unsupervised imbalance problem in credit risk assessment by targeting global optimal solutions.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
School of Pharmacy and Biomolecular Sciences (PBS), Royal College of Surgeons in Ireland (RCSI), 1st Floor Ardilaun House Block B, 111 St Stephen's Green, Dublin 2, Ireland.
Background: The advantages of electronic health records (EHRs) are well-documented regarding the process of care, enhanced data accessibility and cost savings. However, EHR design can also contribute to usability challenges, with poorly designed EHRs being implicated in user errors including patient overdoses. Our study seeks to evaluate how EHR design influences both usability and medication safety.
View Article and Find Full Text PDFJ Am Med Dir Assoc
December 2024
Registry of Senior Australians (ROSA) Research Centre, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia; Registry of Senior Australians (ROSA) Research Centre, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia; UniSA Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia; Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
Objective: To identify quality and safety indicators routinely used to monitor, evaluate, and improve care transitions for older adults globally.
Design: A scoping literature review.
Setting And Participants: This review identified indicators used internationally to monitor and evaluate the quality and safety of care transitions by older adults.
Sensors (Basel)
November 2024
Center for Precision and Automated Agricultural Systems, Irrigated Agriculture Research and Extension Center, Department of Biological Systems Engineering, Washington State University, Prosser, WA 99350, USA.
This systematic review critically evaluates the current state and future potential of real-time, end-to-end smart, and automated irrigation management systems, focusing on integrating the Internet of Things (IoTs) and machine learning technologies for enhanced agricultural water use efficiency and crop productivity. In this review, the automation of each component is examined in the irrigation management pipeline from data collection to application while analyzing its effectiveness, efficiency, and integration with various precision agriculture technologies. It also investigates the role of the interoperability, standardization, and cybersecurity of IoT-based automated solutions for irrigation applications.
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