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Commentary on: Wong S, Müller A. Nurses' use of pro re nata medication in adult acute mental healthcare settings: An integrative review. Int J Ment Health Nurs. 2023 Apr 6. doi: 10.1111/inm.13148. Epub ahead of print.
This literature review provides synthesised evidence to evaluate and improve the clinical practice of pro re nata (PRN) medication in mental healthcare organisations. Further research focused on exploring grey literature would offer additional perspectives and broaden the current clinical practices of PRN utilisation.
PRN refers to unscheduled medication used to manage acute symptoms. PRN is commonly used in mental healthcare, but literature suggests that its use is not always based on evidence. This review offers knowledge for developing evidence-based PRN practice. The nurses play a crucial role in PRN administration, including assessing patients’ needs for medication, following prescribed indications and instructions, as...
To analyze toxic positivity and its relevance to nursing.
Concept analysis using Schatzman's dimensional analysis approach.
Two searches were conducted using Google Scholar, JSTOR, ProQuest and CINAHL (1990–2023). Keywords included “toxic positivity” (Phase 1) and “emotional suppression,” “unrealistic optimism”; “disingenuous happiness,” “forced gratitude” and “logical fallacy” (Phase 2). Retained sources (1) were in English (Phases 1 and 2); (2) used ‘toxic positivity’ as a construct reflecting the purpose of analysis (Phase 1); and (3) demonstrated relevance towards analytical findings (Phase 2). Total analytic sources were 35.
The analytic phase, identification, elucidated conceptual dimensions and contexts. The analytic phase, logistics, examined relationships among dimensions and contexts through an iterative process resulting in a dimensional matrix/conceptual model.
Salient dimension is Emotional Suppression with two sub-dimensions, Logical Fallacy and Forced Gratitude. Other dimensions include Unrealistic Optimism and Disingenuous Happiness. Contexts include intra- and post-paradigmatic societal shifts and intra- and post-traumatic experiences. Analysis reveals toxic positivity as an exchange between a giver and receiver with the receiver experiencing negative outcomes.
The concept appears consistent in its application and use across contexts and is emerging in nursing literature.
Acknowledging toxic positivity in nursing may inform theoretical and future research related to improving nursing burnout, bolstering retention, and enhancing well-being. Nurses across work environments may encounter toxic positivity. Leaders should consider policy adoption and inclusion of trauma-informed practices.
Nursing workforce issues require deeper examination of potential contributing factors. Findings suggest toxic positivity may be encountered in work environments impacting nursing at individual and system levels.
No patient or public contribution.
The QCovid 2 and 3 algorithms are risk prediction tools developed during the second wave of the COVID-19 pandemic that can be used to predict the risk of COVID-19 hospitalisation and mortality, taking vaccination status into account. In this study, we assess their performance in Scotland.
We used the Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 national data platform consisting of individual-level data for the population of Scotland (5.4 million residents). Primary care data were linked to reverse-transcription PCR virology testing, hospitalisation and mortality data. We assessed the discrimination and calibration of the QCovid 2 and 3 algorithms in predicting COVID-19 hospitalisations and deaths between 8 December 2020 and 15 June 2021.
Our validation dataset comprised 465 058 individuals, aged 19–100. We found the following performance metrics (95% CIs) for QCovid 2 and 3: Harrell’s C 0.84 (0.82 to 0.86) for hospitalisation, and 0.92 (0.90 to 0.94) for death, observed-expected ratio of 0.24 for hospitalisation and 0.26 for death (ie, both the number of hospitalisations and the number of deaths were overestimated), and a Brier score of 0.0009 (0.00084 to 0.00096) for hospitalisation and 0.00036 (0.00032 to 0.0004) for death.
We found good discrimination of the QCovid 2 and 3 algorithms in Scotland, although performance was worse in higher age groups. Both the number of hospitalisations and the number of deaths were overestimated.
Many people with Parkinson’s (PwP) are not given the opportunity or do not have adequate access to participate in clinical research. To address this, we have codeveloped with users an online platform that connects PwP to clinical studies in their local area. It enables site staff to communicate with potential participants and aims to increase the participation of the Parkinson’s community in research. This protocol outlines the mixed methods study protocol for the usability testing of the platform.
We will seek user input to finalise the platform’s design, which will then be deployed in a limited launch for beta testing. The beta version will be used as a recruitment tool for up to three studies with multiple UK sites. Usability data will be collected from the three intended user groups: PwP, care partners acting on their behalf and site study coordinators. Usability questionnaires and website analytics will be used to capture user experience quantitatively, and a purposive sample of users will be invited to provide further feedback via semistructured interviews. Quantitative data will be analysed using descriptive statistics, and a thematic analysis undertaken for interview data. Data from this study will inform future platform iterations.
Ethical approval was obtained from the University of Plymouth (3291; 3 May 2022). We will share our findings via a ‘Latest News’ section within the platform, presentations, conference meetings and national PwP networks.
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