Articles: checklist.
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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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Good clinical record-keeping is central in ensuring patient safety and effective communication between healthcare professionals. Poor communication is the root cause of many adverse events in medicine. ⋯ The use of the educational tool and a formal training session significantly improved the quality of notes written for surgical inpatients. Junior doctors do not feel adequately trained in this area. The authors recommend that formal training in record-keeping be included in all hospital induction programmes.
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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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The management of patients with novel coronavirus 2019 (COVID-19) represents a new challenge for medical and surgical teams. Each operating room in the world should be prepared thoughtfully, and the development of a protocol and patient route seems mandatory. ⋯ We propose recommendations to help different professionals in the establishment of protocols for the management of patients with COVID-19. We also offer a checklist that could be used in the operating room.