Internal medicine journal
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Internal medicine journal · Sep 2021
"Concerns and Psychological Wellbeing of Health Care Workers During the COVID-19 Pandemic in a Tertiary Care Hospital in NSW".
In early 2020, the impending COVID-19 pandemic placed a once-in-a-generation professional and personal challenge on healthcare workers. Publications on direct physical disease abound. The authors wanted to focus on doctors' psychological well-being. ⋯ Both COVID-19 specific concerns and psychological well-being improved greatly in the second survey. Possible explanations are the fall in COVID-19 cases in the district, improvements in PPE supply and supportive measures communicated to doctors during this period.
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Internal medicine journal · Sep 2021
ReviewDemystifying machine learning - a primer for physicians.
Machine learning is a tool for analysing digitised data sets and formulating predictions that can optimise clinical decision-making. It aims to identify complex patterns in large data sets and encode them into models that can then classify new unseen cases or make predictions on new data. Machine learning methods take several forms and individual models can be of many different types. ⋯ The reliability and robustness of any model depends on multiple factors, including the quality and quantity of the data used to develop the models, and the selection of features in the data considered most important to maximising accuracy. In ensuring models are safe, effective and reproducible in routine care, physicians need to have some understanding of how these models are developed and evaluated, and to collaborate with data and computer scientists in their design and validation. This narrative review introduces principles, methods and examples of machine learning in a way that does not require mastery of highly complex statistical and computational concepts.
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Internal medicine journal · Sep 2021
Meta AnalysisMeta-analysis of Efficacy and Safety of Inhaled Ciprofloxacin in Non-cystic Fibrosis Bronchiectasis Patients.
No antibiotic therapies have been approved for reducing exacerbations and preventing disease progression in non-cystic fibrosis bronchiectasis (NCFB) patients. Several recent clinical studies have investigated the feasibility of inhaled ciprofloxacin in NCFB, whereas the results were controversial. ⋯ Ciprofloxacin inhalation treatment significantly prolonged the time to first exacerbation, reduced the frequency of exacerbations and decreased sputum P. aeruginosa density and was well tolerated. Ciprofloxacin inhalation is promising in the treatment of NCFB.
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Internal medicine journal · Sep 2021
Multicenter StudyMedical student knowledge and critical appraisal of machine learning: a multicentre international cross-sectional study.
To utilise effectively tools that employ machine learning (ML) in clinical practice medical students and doctors will require a degree of understanding of ML models. To evaluate current levels of understanding, a formative examination and survey was conducted across three centres in Australia, New Zealand and the United States. Of the 245 individuals who participated in the study (response rate = 45.4%), the majority had difficulty with identifying weaknesses in model performance analysis. Further studies examining educational interventions addressing such ML topics are warranted.
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Internal medicine journal · Sep 2021
COVID-19 End-of-life Care: Symptoms and Supportive Therapy Use in an Australian Hospital.
Descriptions of symptoms and medication use at end of life in COVID-19 are limited to small cross-sectional studies, with no Australian longitudinal data. ⋯ This study presents one of the first and largest Australian report of the end of life and symptom experience of people dying of COVID-19. This information should help clinicians to anticipate palliative care needs of these patients, for example, recognising that higher starting doses of opioids and sedatives may help reduce prevalence and severity of breathlessness and agitation near death.