Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
1,234,330
result(s) for
"Internal medicine"
Sort by:
Clinical Reasoning Education at US Medical Schools: Results from a National Survey of Internal Medicine Clerkship Directors
BackgroundRecent reports, including the Institute of Medicine’s Improving Diagnosis in Health Care, highlight the pervasiveness and underappreciated harm of diagnostic error, and recommend enhancing health care professional education in diagnostic reasoning. However, little is known about clinical reasoning curricula at US medical schools.ObjectiveTo describe clinical reasoning curricula at US medical schools and to determine the attitudes of internal medicine clerkship directors toward teaching of clinical reasoning.DesignCross-sectional multicenter study.ParticipantsUS institutional members of the Clerkship Directors in Internal Medicine (CDIM).Main MeasuresExamined responses to a survey that was emailed in May 2015 to CDIM institutional representatives, who reported on their medical school’s clinical reasoning curriculum.Key ResultsThe response rate was 74% (91/123). Most respondents reported that a structured curriculum in clinical reasoning should be taught in all phases of medical education, including the preclinical years (64/85; 75%), clinical clerkships (76/87; 87%), and the fourth year (75/88; 85%), and that more curricular time should be devoted to the topic. Respondents indicated that most students enter the clerkship with only poor (25/85; 29%) to fair (47/85; 55%) knowledge of key clinical reasoning concepts. Most institutions (52/91; 57%) surveyed lacked sessions dedicated to these topics. Lack of curricular time (59/67, 88%) and faculty expertise in teaching these concepts (53/76, 69%) were identified as barriers.ConclusionsInternal medicine clerkship directors believe that clinical reasoning should be taught throughout the 4 years of medical school, with the greatest emphasis in the clinical years. However, only a minority reported having teaching sessions devoted to clinical reasoning, citing a lack of curricular time and faculty expertise as the largest barriers. Our findings suggest that additional institutional and national resources should be dedicated to developing clinical reasoning curricula to improve diagnostic accuracy and reduce diagnostic error.
Journal Article
Harrison's manual of medicine
This full color, portable guide covers all diseases and conditions commonly seen in general medical practice. This edition has been updated to reflect the latest clinical developments in medicine. Designed for quick access and employing an effective blend of concise text, bulleted key points, decision trees, and summary tables, the \"Manual\" makes it easy to find what you need at the point of care. -- From publisher's description.
Book
Vitamin D status and outcomes for hospitalised older patients with COVID-19
PurposeOlder adults are more likely to be vitamin D deficient. The aim of the study was to determine whether these patients have worse outcomes with COVID-19.MethodsWe conducted a prospective cohort study between 1 March and 30 April 2020 to assess the importance of vitamin D deficiency in older patients with COVID-19. The cohort consisted of patients aged ≥65 years presenting with symptoms consistent with COVID-19 (n=105). All patients were tested for serum 25-hydroxyvitamin D (25(OH)D) levels during acute illness. Diagnosis of COVID-19 was confirmed via viral reverse transcriptase PCR swab or supporting radiological evidence. COVID-19-positive arm (n=70) was sub-divided into vitamin D-deficient (≤30 nmol/L) (n=39) and -replete groups (n=35). Subgroups were assessed for disease severity using biochemical, radiological and clinical markers. Primary outcome was in-hospital mortality. Secondary outcomes were laboratory features of cytokine storm, thoracic imaging changes and requirement of non-invasive ventilation (NIV).ResultsCOVID-19-positive arm demonstrated lower median serum 25(OH)D level of 27 nmol/L (IQR=20–47 nmol/L) compared with COVID-19-negative arm, with median level of 52 nmol/L (IQR=31.5–71.5 nmol/L) (p value=0.0008). Among patients with vitamin D deficiency, there was higher peak D-dimer level (1914.00 μgFEU/L vs 1268.00 μgFEU/L) (p=0.034) and higher incidence of NIV support and high dependency unit admission (30.77% vs 9.68%) (p=0.042). No increased mortality was observed between groups.ConclusionOlder adults with vitamin D deficiency and COVID-19 may demonstrate worse morbidity outcomes. Vitamin D status may be a useful prognosticator.
Journal Article
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
IntroductionThe Transparent Reporting of a multivariable prediction model of Individual Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias ASsessment Tool (PROBAST) were both published to improve the reporting and critical appraisal of prediction model studies for diagnosis and prognosis. This paper describes the processes and methods that will be used to develop an extension to the TRIPOD statement (TRIPOD-artificial intelligence, AI) and the PROBAST (PROBAST-AI) tool for prediction model studies that applied machine learning techniques.Methods and analysisTRIPOD-AI and PROBAST-AI will be developed following published guidance from the EQUATOR Network, and will comprise five stages. Stage 1 will comprise two systematic reviews (across all medical fields and specifically in oncology) to examine the quality of reporting in published machine-learning-based prediction model studies. In stage 2, we will consult a diverse group of key stakeholders using a Delphi process to identify items to be considered for inclusion in TRIPOD-AI and PROBAST-AI. Stage 3 will be virtual consensus meetings to consolidate and prioritise key items to be included in TRIPOD-AI and PROBAST-AI. Stage 4 will involve developing the TRIPOD-AI checklist and the PROBAST-AI tool, and writing the accompanying explanation and elaboration papers. In the final stage, stage 5, we will disseminate TRIPOD-AI and PROBAST-AI via journals, conferences, blogs, websites (including TRIPOD, PROBAST and EQUATOR Network) and social media. TRIPOD-AI will provide researchers working on prediction model studies based on machine learning with a reporting guideline that can help them report key details that readers need to evaluate the study quality and interpret its findings, potentially reducing research waste. We anticipate PROBAST-AI will help researchers, clinicians, systematic reviewers and policymakers critically appraise the design, conduct and analysis of machine learning based prediction model studies, with a robust standardised tool for bias evaluation.Ethics and disseminationEthical approval has been granted by the Central University Research Ethics Committee, University of Oxford on 10-December-2020 (R73034/RE001). Findings from this study will be disseminated through peer-review publications.PROSPERO registration numberCRD42019140361 and CRD42019161764.
Journal Article
Review of the Clinical Characteristics of Coronavirus Disease 2019 (COVID-19)
In late December 2019, a cluster of cases with 2019 Novel Coronavirus pneumonia (SARS-CoV-2) in Wuhan, China, aroused worldwide concern. Previous studies have reported epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19). The purpose of this brief review is to summarize those published studies as of late February 2020 on the clinical features, symptoms, complications, and treatments of COVID-19 and help provide guidance for frontline medical staff in the clinical management of this outbreak.
Journal Article
Revisiting the Time Needed to Provide Adult Primary Care
Background
Many patients do not receive guideline-recommended preventive, chronic disease, and acute care. One potential explanation is insufficient time for primary care providers (PCPs) to provide care.
Objective
To quantify the time needed to provide 2020 preventive care, chronic disease care, and acute care for a nationally representative adult patient panel by a PCP alone, and by a PCP as part of a team-based care model.
Design
Simulation study applying preventive and chronic disease care guidelines to hypothetical patient panels.
Participants
Hypothetical panels of 2500 patients, representative of the adult US population based on the 2017–2018 National Health and Nutrition Examination Survey.
Main Measures
The mean time required for a PCP to provide guideline-recommended preventive, chronic disease and acute care to the hypothetical patient panels. Estimates were also calculated for visit documentation time and electronic inbox management time. Times were re-estimated in the setting of team-based care.
Key Results
PCPs were estimated to require 26.7 h/day, comprising of 14.1 h/day for preventive care, 7.2 h/day for chronic disease care, 2.2 h/day for acute care, and 3.2 h/day for documentation and inbox management. With team-based care, PCPs were estimated to require 9.3 h per day (2.0 h/day for preventive care and 3.6 h/day for chronic disease care, 1.1 h/day for acute care, and 2.6 h/day for documentation and inbox management).
Conclusions
PCPs do not have enough time to provide the guideline-recommended primary care. With team-based care the time requirements would decrease by over half, but still be excessive.
Journal Article