Background: Health education aims to encourage individuals to voluntarily take action to improve their health. Throughout this process, adult learners can make informed decisions to change their behaviours and enhance their well-being. In medical institutions, employing appropriate instructional strategies to facilitate changes in health…

Clinical prediction models are widely used in modern clinical practice. Such models are often developed using individual patient data (IPD) from a single study, but often there are IPD available from multiple studies. This allows using meta-analytical methods for developing prediction models, increasing power and precision. Different studies,…

Background: As health systems face increasing demands, non-medical prescribing is a workforce redesign strategy adopted within some services. Despite successful implementation in other professional groups, non-medical prescribing within speech pathology (SP) has not yet been described. Aims: To provide a descriptive account of the development and…

Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that synthesized randomized trials and evaluates how treatment effects vary across patient characteristics. In this article, we extended this model to combine different…

The practice problem for this DNP project was the lack of confidence of eight nurse managers at the project site in implementing alternative staffing models to meet increased inpatient care demands during times of patient surges. The purpose of this DNP project was to provide an education module to nurse managers at the project site to enhance…

Purpose: This study examined the relationship between voice quality and glottal geometry dynamics in patients with adductor spasmodic dysphonia (ADSD). Method: An objective computer vision and machine learning system was developed to extract glottal geometry dynamics from nasolaryngoscopic video recordings for 78 patients with ADSD. General…

Autistic people experience more co-occurring health conditions and, on average, die younger than non-autistic people. Despite growing awareness of health inequities, autistic people still report barriers to accessing healthcare. We aimed to explore the experiences of autistic people accessing healthcare, shining a light on the complex interplay of…

Systems thinking is challenging but clearly important in higher education to understand relationships between different elements influencing the quality and student learning and achievement. A similar challenge is found in healthcare, where patient safety activities are more and more seen and dealt with in a broader system perspective. A…

This account of practice discusses how we use action learning (AL) sets as part of the supervision process for quality improvement (QI) projects in healthcare. Reflecting on the synergies between QI and AL reveals that the questioning approach of both links closely with the Calgary Cambridge Communication model, taught in medicine, to guide…

Background: Speech and language therapists (SLTs) use videofluoroscopic swallow study (VFSS) results to manage dysphagia. Yet, in some services only doctors can directly request a VFSS, potentially creating workflow inefficiencies and delaying patient access to VFSS. An alternative model, where SLTs directly refer patients for VFSS, is used in…

Microlearning is a relatively new educational technology that allows students to learn through short, direct segments using various modalities. The nursing profession has used microlearning to provide continuing medical education (CME). The problem addressed through this study was that instructional designers who create microlearning for medical…

Cooperation in conversation is usually managed by the turn-taking mechanism where the interlocutors' turns are done according to certain rules, the most important of which is that one and only one speaker speaks at a time. And since talk can be used as a cure for the people who have troubles in their life, psychotherapy uses the field of…

This paper considers the problem in aggregate data meta-analysis of studies reporting multiple competing binary outcomes and of studies using different summary formats for those outcomes. For example, some may report numbers of patients with at least one of each outcome while others may report the total number of such outcomes. We develop a shared…

Differential item functioning (DIF) analysis refers to procedures that evaluate whether an item's characteristic differs for different groups of persons after controlling for overall differences in performance. DIF is routinely evaluated as a screening step to ensure items behavior the same across groups. Currently, the majority DIF studies focus…

There has been increasing interest in applying integrative data analysis (IDA) to analyze data across multiple studies to increase sample size and statistical power. Measures of a construct are frequently not consistent across studies. This article provides a tutorial on the complex decisions that occur when conducting harmonization of measures…