Articles: checklist.
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Empathic communication in health care may enhance positive patient and health care professional relationships, patient satisfaction and can buffer professional burnout. The Jefferson Scale of Empathy (JSE) was developed based on the need to quantitatively measure levels of empathy, particularly in health care settings. Evaluating the utility of empathy is underpinned by the psychometric rigour of the instruments used to measure it. The aim of this study was to critically evaluate the current evidence on the measurement properties of the JSE. ⋯ The JSE demonstrates robust structural validity, internal consistency, and convergent validity. These measurement properties are generally well reported in the literature in studies of good methodological quality, and thus may be interpreted with relative confidence when used in empathy research. However, current evidence is limited for the properties of reliability, measurement error, and cross-cultural validity. Thus, a degree of caution should be considered in drawing conclusions when using the JSE with regard to these properties. It is recommended that future examinations of the JSE refer to the COSMIN guidelines to ensure complete and well-reported psychometric data are included.
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Comment Review
Theory and practical use of Bayesian methods in interpreting clinical trial data: a narrative review.
The critical reading of scientific articles is necessary for the daily practice of evidence-based medicine. Rigorous comprehension of statistical methods is essential, as reflected by the extensive use of statistics in the biomedical literature. In contrast to the customary frequentist approach, which never uses or gives the probability of a hypothesis, Bayesian theory uses probabilities for both hypotheses and data. ⋯ The aim of this review is to compare general Bayesian concepts with frequentist methods to facilitate a better understanding of Bayesian theory for readers who are not familiar with this approach. The review is intended to be used in combination with a checklist we have devised for reading reports analysed by Bayesian methods. We compare and contrast the different approaches of Bayesian vs frequentist statistical methods by considering data from a clinical trial that lends itself to this comparative approach.
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In the context of an increasing number of publications of trial data analysed by Bayesian methods, clinicians need support to better understand Bayesian statistical methods. The existing checklists are intended for people who already know these methods. We aimed to establish and validate a checklist that contains a group of items considered crucial in interpreting the results of a phase III RCT analysed with Bayesian methods. ⋯ The checklist can help clinicians interpret the results of a phase III randomised clinical trial analysed by Bayesian methods, even clinicians with no particular knowledge of statistics, to ensure that the major elements of the statistical section are present and valid. Care should be taken in interpreting the results of a trial analysed by Bayesian methods that are not reported with these three essential items because the validity of the results cannot be established.
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JMIR mHealth and uHealth · Jul 2020
The Mobile Health App Trustworthiness Checklist: Usability Assessment.
The mobile health (mHealth) app trustworthiness (mHAT) checklist was created to identify end users' opinions on the characteristics of trustworthy mHealth apps and to communicate this information to app developers. To ensure that the checklist is suited for all relevant stakeholders, it is necessary to validate its contents. ⋯ Our results indicate that the mHAT checklist is a valuable resource for a broad range of stakeholders to develop trustworthy mHealth apps. Future studies should examine if the checklist works best for certain mHealth apps or in specific settings.
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Int. J. Pediatr. Otorhinolaryngol. · Jul 2020
Operative team checklist for aerosol generating procedures to minimise exposure of healthcare workers to SARS-CoV-2.
In many countries around the world, the COVID-19 pandemic has resulted in health services being diverted to manage patients with the condition. There are situations however that still require the undertaking of aerosol generating procedures (AGP) with potentially high exposure of healthcare workers to SARS-CoV-2 transmission through droplet, contact and possibly airborne routes. The objective of this paper is to explore a structured way for the operative team to approach AGP to reduce aerosolisation of secretions, decrease open airway time and minimise staff exposure. ⋯ At a time of overwhelming and changing information and recommendations, an operative team checklist may provide some structure to healthcare workers undertaking AGP to reduce anxiety, maintain focus, prompt consideration of alternatives and potentially reduce risk.