Search

• Many mental health disorders first emerge during early childhood or adolescence. • Wait times for children's mental health services have been an international and widespread problem. • Long wait times prolong the emotional distress of children and/or adolescents and their caregivers which can exacerbate mental health difficulties. • The majority of research in this area has been conducted in the United Kingdom and Canada and focus on one waitlist strategy. • Common strategies include alternative service delivery models, increasing system capacity, and improving intake and assessment processes. Background: Although many mental health disorders first emerge during early childhood or adolescence, there is a significant gap between demand and availability of mental health resources, leading to long waitlists for services. Objective: The objective of this scoping review was to identify and characterize the research literature related to the range of waitlist management strategies that have been implemented in outpatient child and adolescent mental health care. Methods: Electronic databases reviewed included: Medline (Ovid), Embase (Ovid), PubMed, PsychINFO, SCOPUS, CINAHL, and ISI Web of Science. Grey literature databases included: OpenGrey, Conference Papers Index, and Proquest Digital Dissertations. Articles were screened by two reviewers in two steps: first by title and abstract, then full text level. Data were extracted using an a-priori developed data extraction framework, which was piloted and modified iteratively. Results: A total of 119 papers related to waitlist interventions in child and adolescent mental health were reviewed. Of these 119 papers, 11% were reviews, summary, or theoretical papers; 8% used a randomized control trial design and 2.5% were trial protocols. Most studies used less rigorous designs, such as uncontrolled before-and- after designs. The large majority focused on just one waitlist strategy each. The most commonly used approaches included: prioritization/triage and initial assessment; brief consultation and advice or brief therapy approaches; group-based models; interim services; increasing capacity; and strategies to decrease non-attendance. Most studies were conducted in the United Kingdom or Canada. Discussion: While mental health systems are complex, most studies examining waitlist initiatives explored the implementation of single initiatives. It is unlikely that a single waitlist strategy can be effective in managing wait times for children's mental health. Rather, consistent and systemic approaches to address wait times that consider the impact of the reduction approach on the patient, the program, and the community are needed. [ABSTRACT FROM AUTHOR]

A student's accuracy on drug calculation tests may be influenced by maths anxiety, which can impede one's ability to understand and complete mathematic problems. It is important for healthcare students to overcome this barrier when calculating drug dosages in order to avoid administering the incorrect dose to a patient when in the clinical setting. The aim of this study was to examine the effects of maths anxiety on healthcare students' ability to accurately calculate drug dosages by performing a scoping review of the existing literature. This review utilised a six-stage methodology using the following databases; CINAHL, Embase, Medline, Scopus, PsycINFO, Google Scholar, Trip database ( http://www.tripdatabase.com/ ) and Grey Literature report ( http://www.greylit.org/ ). After an initial title/abstract review of relevant papers, and then full text review of the remaining papers, six articles were selected for inclusion in this study. Of the six articles included, there were three experimental studies, two quantitative studies and one mixed method study. All studies addressed nursing students and the presence of maths anxiety. No relevant studies from other disciplines were identified in the existing literature. Three studies took place in the U.S, the remainder in Canada, Australia and United Kingdom. Upon analysis of these studies, four factors including maths anxiety were identified as having an influence on a student's drug dosage calculation abilities. Ultimately, the results from this review suggest more research is required in nursing and other relevant healthcare disciplines regarding the effects of maths anxiety on drug dosage calculations. This additional knowledge will be important to further inform development of strategies to decrease the potentially serious effects of errors in drug dosage calculation to patient safety. [ABSTRACT FROM AUTHOR]

Summary Background Presentations to emergency departments (EDs) and patient acuity continue to increase. Whilst strategies to deliver safe patient care in the ED are evolving, emergency nurses need to be well educated through specialist qualifications to enable delivery of advanced patient care. This paper presents a comparative analysis of available international practice and competency standards for nurses graduating from emergency nursing courses in Australia, Canada, New Zealand, the United Kingdom, and the United States. Methods CINAHL, Scopus, Ovid MEDLINE, and Embase were searched for papers, published in English, using the terms: ‘emergency’, ‘accident and emergency’, ‘nursing’, ‘competency’, ‘practice standards’, ‘scope of practice’, ‘regulation’, and ‘specialist standards’. Secondary sources from relevant reference lists and professional websites were also searched. Results The standards from the five countries were common across five domains: clinical expertise, communication, teamwork, resources and environment, and legal. None of the standards were specific to the emergency nursing graduate, and there was variability in the level of expertise required for which the standards apply. Conclusions The available practice standards demonstrated some commonality. Consideration of the utility of a universal framework for informing the development of emergency nursing practice standards and emergency nursing curriculum for nurses wishing to specialise is needed. [ABSTRACT FROM AUTHOR]

To identify the patient classification systems used to classify nursing intensity in the assessment of nursing staffing resources currently used in home health care, with a special emphasis on validity, reliability and staff allocation. Scoping review of internationally published and grey literature, based on a methodological framework by Arksey and O'Malley. Searches of the electronic databases Cinahl, Medline, Embase and SweMed, the websites Google and Google Scholar and hand searches of reference lists occurred. Eligibility criteria included (A) a focus on patient classification systems measuring nursing intensity and workload in home health care and (B) published in English between January 2007 and March 2019. In level one testing two team members screened titles and abstracts, in level two testing two team members determined which papers should undergo a full text review. Data were extracted using structured extraction by one team member and verified by two other members. Thirteen peer-reviewed articles and grey literature documents were identified, from Canada, Ireland, the UK, the USA, Scotland, Turkey and the Netherlands. Four patient classification systems had been tested for both validity and reliability. Validity was tested through face validity, predictive validity, concurrent validity or content validity index. Reliability was tested through stability, internal consistency, observer agreement or inter rater reliability. One patient classification system had been tested only for reliability, through interrater reliability and observer agreement. Two patient classification systems had been evaluated through summative evaluation; one qualitatively through focus group interviews and one through semi-structured interviews. Only one patient classification system had been validity and reliability tested and evaluated. Overall, the patient classification systems in the included papers (13) were considered to have benefits and to be appropriate for the measurement of patients' needs, workload and allocation of staff, although specific information was not always given. Little has been published on validity or reliability tested patient classification systems linked to staffing allocation in home health care in the past decade. Limited research was seen where a patient classification system was considered to be fully operational in home health care. [ABSTRACT FROM AUTHOR]