Journal of evaluation in clinical practice
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Anemia due to malnutrition may develop as a result of iron, folate and vitamin B12 deficiencies. This situation poses a higher risk of morbidity and mortality in the geriatric population than in other age groups. Therefore, early diagnosis of anemia and early initiation of treatment is very important. This study aims to predict the diagnosis of anemia with using machine learning (ML) methods in geriatric patients followed in an outpatient clinic. ⋯ The study showed that anemia can be predicted with high accuracy in geriatric patients without hemogram data. Additionally, our geriatric data set was shared with researchers for future research. Thus, it has contributed to the literature by opening a new path for studies on subjects such as comparing classification performances with new methodologies or predicting different diseases in geriatric patients.
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Peter Drucker pointed out an important distinction between 'doing things right' and 'doing the right thing', which recognised that all problems are embedded in a context and thus can only be understood within their unique contextual setting. Contemporary research practices in clinical medicine often regards contextual factors as potential confounders that will bias effect estimates and thus must be avoided. However rigorous, research devoid of context ultimately deprives users of understanding of the support factors that make research transferable to policy decisions or managing care of individual patients-it stands in the way of 'doing the right thing' in 'real life' settings. ⋯ We discuss the need for researchers to a-priori consider the context of their research question as well as the structural relationships of the variables under investigation, which in turn provides the basis for choosing the most appropriate research design. We have a moral imperative to first 'do the right thing'-ask questions that address the contextual needs of our patients, and then to 'do it right'-choose the best research method to answer this contextually framed need. Only then will our research efforts have meaningful and lasting impacts on patient care.
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To evaluate the methodological and reporting quality of systematic reviews (SR) of randomized controlled trials on esthetics and reconstructive breast surgery. ⋯ Methodological and reposting quality of SR of randomized clinical trials on esthetic or reconstructive breast surgery is poor. Half of the authors referred to the use of valid guidance to plan and conduct their reviews and none of them referred the use of a guidance for reporting their results.
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Medical device-integrated electronic medical records (MDI-EMR) pose significant challenges in ensuring effective usage, data security and patient safety. The complexities of MDI-EMR necessitate applying various security mechanisms to safeguard against cyber threats. Therefore, we evaluated cyber threats to MDI-EMR and the effectiveness of applied security controls using a proposed framework from sociotechnical and risk assessment perspectives. ⋯ Collaboration among the key stakeholders is crucial for implementing security controls for MDI-EMR. Balancing security measures with usability concerns is essential, as highlighted by challenges in implementing technical controls. A comprehensive approach encompassing physical, technical and administrative controls, continuous education and awareness initiatives are significant to empower staff in recognising and mitigating cyber threats effectively to safeguard medical data and ensure the integrity of healthcare systems.
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In clinical and research settings, the validity and reliability of measurement instruments are crucial for reliable results. Current methods for computing validation metrics like Aiken's coefficients are often complex and error-prone, highlighting the need for a standardized computational tool to simplify and enhance this process. ⋯ AikenCalc represents a significant improvement in the validation of measurement instruments by automating and simplifying the calculation of Aiken's coefficients through a Shiny web application. Additionally, it fills a knowledge gap, as there is currently no similar calculator available in the field of research.