Managing healthcare worker well‐being in an Australian emergency department during the COVID‐19 pandemic

Emergency Medicine staff in Australia and New Zealand are at the forefront of the healthcare response to COVID‐19. This article describes a well‐being plan for ED staff that has been devised to mitigate against the negative psychological impact of the COVID‐19 pandemic.     

What makes a good children’s doctor? Exploring the child perspective in the OSCE setting

Background: Patient feedback is increasingly important in clinical practice, and this should include children’s views. 28 children aged 8–10 years participating in a large-scale OSCE underwent cranial nerve examination by student candidates. They scored each out of 10 for the question: ‘If you had to see a doctor again, how happy would you be to see this one?’ An age-adapted qualitative focus group methodology was used to explore why they scored some students more highly than others.

Results: Children’s scores for the 256 medical students ranged from 2 to 10 (median 9; mean 8.46). 76% of scores were above 8. ‘Good' doctor attributes included: ‘friendly’, ‘funny’, ‘knowledgeable’, ‘confident’; ‘bad’ doctor attributes were: ‘making mistakes’, ‘not paying attention’, ‘forgot everything’, ‘serious’. Children’s reasons for specific scores are further explored.

Discussion and conclusion: Scores were positively skewed, in line with most patient/simulated patient feedback, and children discriminated between candidates. It should not be assumed that clinician examiners can accurately represent the views of child patients who may value different qualities in doctors. Children participating in our study had clear views of what they want from a doctor: a consultative approach with clear and kind explanation of the process of examination.     

Epithelial ovarian cancer risk: A review of the current genetic landscape

Ovarian cancer is the fourth most common cause of cancer-related death in women in the developed world, and one of the most heritable cancers. One of the most significant risk factors for epithelial ovarian cancer (EOC) is a family history of breast and/or ovarian cancer. Combined risk factors can be used in models to stratify risk of EOC, and aid in decisions regarding risk-reduction strategies. Germline pathogenic variants in EOC susceptibility genes including those involved in homologous recombination and mismatch repair pathways are present in approximately 22% to 25% of EOC. These genes are associated with an estimated lifetime risk of EOC of 13% to 60% for BRCA1 variants and 10% to 25% for BRCA2 variants, with lower risks associated with remaining genes. Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) thought to explain an additional 6.4% of the familial risk of ovarian cancer, with 34 susceptibility loci identified to date. However, an unknown proportion of the genetic component of EOC risk remains unexplained. This review comprises an overview of individual genes and SNPs suspected to contribute to risk of EOC, and discusses use of a polygenic risk score to predict individual cancer risk more accurately.     

Improving the international prognostic index score using peripheral blood counts: Results of a large multicenter study involving 520 patients with diffuse large B cell lymphoma

The main purpose of this study was to assess whether it is possible to improve the prognostic impact of international prognostic index (IPI) score by combining it with peripheral blood counts. Thus, we evaluated the prognostic power of lymphocyte, neutrophil, and monocyte counts in 520 patients with diffuse large B cell lymphoma treated with R-CHOP, confirming that these parameters have a strong impact on overall survival (OS). Using revised IPI (R-IPI), 44% of patients were categorized as poor-risk and showed an OS at 5 years of 46%. As OS at 5 years of the 520 patients is 67%, it is clearly evident that R-IPI tends to overestimate the proportion of patients with poor prognosis. Accordingly, in an attempt to improve the discriminating power of R-IPI, we evaluated and compared three different scores by combining the neutrophil lymphocyte ratio (NLR) and absolute monocyte count (AMC) with the following values: (a) IPI score 3-5, (b) age > 60 years and performance status, (c) age ≥ 65 years and LDH > ULN. The three indexes studied, had a similar 5 years OS for the high-risk group (46%-52%), but the proportion of patients classified as poor-risk were 37%, 20%, and 32%, respectively, which are lower than 44% identified with R-IPI. Thus, while R-IPI overestimates the number of high-risk patients, after applying our models, it is possible to recognize patients who are truly at high-risk. Of the three scores, the most accurate appears to be that based on NLR, AMC, LDH > ULN and age ≥ 65 years, which identifies 32% of high-risk patients, correlating well with what is seen in clinical practice.     

Using Family Members as Medical Interpreters: An Explanation of Healthcare Practitioners’ Normative Practices in Pediatric and Neonatal Departments in Australia

ABSTRACT

Both international tourism and migration of people with low English proficiency (LEP) to Australia are increasing. Thus, health-care practitioners (HPs) increasingly use interpreters to communicate with patients with LEP. Although qualified interpreters are the most suggested and policy-endorsed mechanism for communicating with patients with LEP, family members (FMIs) are also used as interpreters. This study investigated (a) when do health professionals consider it appropriate to use FMIs and (b) what characteristics of family members health professionals believe make them suitable to act as FMIs. As part of a larger project examining the decision-making processes of HPs regarding interpreter use, 69 HPs from neonatal and pediatric departments in one hospital in Queensland Australia were interviewed. Results indicated HPs thought the appropriateness of using FMIs depended on the type of information, such that it was either completely acceptable (e.g., explaining some basic or non-medical information) or completely unacceptable (e.g., confidential information or consent). However, in an emergency, when no other options were available, FMIs were used. The characteristics of suitable FMIs included age, level of English proficiency and medical understanding, and the relationship between patient and FMI. Results were to some extent consistent with Queensland government policies but there were notable differences, including using children and regarding FMIs as first preference. Improving HP’s knowledge of policies may increase their confidence in their practice and appropriate use of FMIs, thereby improving their care delivery to patients and families with LEP.