Perceived and actual value of Student-led Objective Structured Clinical Examinations.

INTRODUCTION: Student-led Objective Structured Clinical Examinations (OSCEs) provide formative learning opportunities prior to Faculty-led OSCEs. It is important to undertake quality assurance measurements of peer-led assessments because, if they are found to be unreliable and invalid, they may have detrimental impacts. The objectives of this study were to explore and evaluate Student-led OSCEs hosted by fifth-year medical students. METHODS: Student-led OSCE results were analysed to examine reliability (Cronbach's alpha). The relationship between Student-led and Faculty-led OSCEs was evaluated using linear regression. Qualitative data were acquired by survey and semi-structured interviews and were analysed using an inductive content analysis approach. RESULTS: In total, 85 (94%) of 91 eligible students consented to study participation. Student-led OSCEs had a low-moderate reliability [Cronbach alpha = 0.47 (primary care) and 0.61 (human reproduction/paediatrics) (HRH)]. A statistically significant, positive relationship between Student-led and Faculty-led OSCE results was observed. Faculty-led OSCE grades increased by 0.49 (95% CI: 0.18, 0.80) to 1.09 (95% CI: 0.67, 1.52), for each percentage increase in Student-led OSCE result. Student-led OSCE participants highly valued the authentic peer-assessed experience. Reported benefits included a reduction of perceived stress and anxiety prior to Faculty-led OSCEs, recognition of learning gaps, contribution to overall clinical competency and facilitation of collaboration between peers. DISCUSSION: Student-led OSCEs are moderately reliable and can predict Faculty-led OSCE performance. This form of near-peer assessment encourages the metacognitive process of reflective practice and can be effectively implemented to direct further study. Faculties should collaborate with their student bodies to facilitate Student-led OSCEs and offer assistance to improve the quality, and benefits, of these endeavours.

Longitudinal trends in domperidone dispensing to mothers of very preterm infants and its association with breast milk feeding at infant discharge: a retrospective study.

OBJECTIVE: This study aims: (a) to evaluate patterns of domperidone dispensing to mothers of very preterm (<32 weeks gestation) infants born before and after 2014 when international recommendations were made to limit its use and (b) to examine characteristics associated with domperidone dispensing and impacts on breast milk feeding rates at infant hospital discharge. DESIGN: Retrospective audit using linked electronic medical records and hospital pharmacy records. SETTING: Tertiary-referral neonatal intensive care unit at the Women's and Children's Hospital in South Australia. PATIENTS: Mothers of preterm infants admitted to neonatal intensive care from January 2004 to December 2018. MAIN OUTCOME MEASURES: Rate of domperidone dispensing compared pre-2014 and post-2014 recommendations using interrupted time series analyses, and breast milk feeding rates at infant discharge based on domperidone treatment status, adjusted for other factors known to influence breast milk production. RESULTS: Overall, domperidone was dispensed to 691 (41%) of 1688 mothers. Prior to 2014 recommendations, the proportion of women dispensed domperidone was stable. Following the recommendations, there was a significant reduction in trend (-2.55% per half year, 95% CI -4.57% to -0.53%;), reflecting less domperidone dispensing.Breast milk feeding rates at discharge remained consistently lower in infants of women dispensed domperidone than those who were not (adjusted OR 0.58, 95% CI 0.45 to 0.75). CONCLUSION: Domperidone dispensing in mothers of hospitalised very preterm infants has declined over time following international regulatory warnings. Breast milk feeding rates remain lower in mothers prescribed domperidone, suggesting further research is needed to optimise lactation support for mothers of very preterm infants.

Using electronic admission data to monitor temporal trends in local medication use: Experience from an Australian tertiary teaching hospital.

Background and aims: Medication usage varies according to prescribing behavior, professional recommendations, and the introduction of new drugs. Local surveillance of medication usage may be useful for understanding and comparing prescribing practices by healthcare providers, particularly in countries such as Australia that are in the process of enhancing nationwide data linkage programs. We sought to investigate the utility of electronic hospital admission data to investigate local trends in medication use, to determine similarities and differences with other Australian studies, and to identify areas for targeted interventions. Methods: We performed a retrospective longitudinal analysis using combined data from a hospital admissions administrative dataset from a large tertiary teaching hospital in Adelaide, South Australia and a hospital administrative database documenting medication usage matched for the same set of patients. All adult admissions over a 12-year period, between 1 January 2007 and 31st December 2018, were included in the study population. Medications were categorized into 21 pre-defined drug classes of interest according to the ATC code list 2021. Results: Of the 692,522 total admissions, 300,498 (43.4%) had at least one recorded medication. The overall mean number of medications for patients that were medicated increased steadily from a mean (SD) of 5.93 (4.04) in 2007 to 7.21 (4.98) in 2018. Results varied considerably between age groups, with the older groups increasing more rapidly. Increased medication usage was partly due to increased case-complexity with the mean (SD) Charlson comorbidity index increasing from 0.97 (1.66) in 2007-to-2012 to 1.17 (1.72) in 2013-to-2018 for medicated patients. Of the 21 medication classes, 15 increased (p < 0.005), including antithrombotic agents; OR = 1.18 [1.16-1.21], proton pump inhibitors; OR = 1.14 [1.12-1.17], statins; OR = 1.12; [1.09-1.14], and renin-angiotensin system agents; OR = 1.06 [1.04-1.08], whilst 3 decreased (p < 0.005) including anti-inflammatory drugs (OR = 0.55; 99.5% CI = 0.53-0.58), cardiac glycosides (OR = 0.81; 99.5% CI = 0.78-0.86) and opioids (OR = 0.82; 99.5% CI = 0.79-0.83). The mean number of medications for all admissions increased between 2007 and 2011 and then declined until 2018 for each age group, except for the 18-to-35-year-olds. Conclusion: Increased medication use occurred in most age groups between 2007 and 2011 before declining slightly even after accounting for increased comorbidity burden. The use of electronic hospital admission data can assist with monitoring local medication trends and the effects of initiatives to enhance the quality use of medicines in Australia.

Patterns of Drug Use and Serum Sodium Concentrations in Older Hospitalized Patients: A Latent Class Analysis Approach.

BACKGROUND: Several drugs may lower serum sodium concentrations (NaC) in older patients. However, distinguishing their individual effects is particularly difficult in this population because of the high prevalence of polypharmacy and disease states that are per se associated with hyponatremia. OBJECTIVES: Our objective was to identify specific patterns of medication use in older hospitalized patients and determine whether these patterns were associated with serum NaC. METHODS: We collected clinical and demographic data, pre-admission drugs, Drug Burden Index (DBI) score, and average NaC during hospitalization in a consecutive series of older medical patients (n = 101, mean ± standard deviation [SD] age 87 ± 6 years). We used latent class analysis (LCA) to identify specific patterns of drug use and multivariate regression to determine the associations between 14 separate drug classes, identified patterns of drug use, and NaC. RESULTS: LCA revealed three patterns: lower overall drug use (class 1), anticoagulant use and higher drug use (class 2), and antiplatelet use (class 3). Mean (±SD) DBI score in each class was 2.7 ± 1.3, 3.3 ± 1.6, and 2.4 ± 1.5, respectively (p = 0.04). Mean (± SD) NaC in classes 1, 2, and 3 were 140.6 ± 6.8, 138.7 ± 5.3, and 136.5 ± 4.7 mmol/l, respectively (p = 0.006). After adjustment for age, sex, Charlson Comorbidity Index score, estimated glomerular filtration rate (eGFR), DBI score, and digoxin use, mean NaC in class 2 and class 3 was significantly lower than in class 1 (-3.9 mmol/l; 95% confidence interval [CI] -7.1 to -0.8, p = 0.01 and -5.2 mmol/l; 95% CI -7.9 to -2.5, p < 0.001, respectively). Mean serum NaC was not significantly associated with any of the 14 individually assessed drug classes. In addition to latent class, increasing age and higher eGFR were also independently associated with lower serum NaC (p = 0.002 and p = 0.03, respectively). CONCLUSION: LCA enabled us to identify patterns of drug use associated with lower serum NaC in older inpatients. Our results suggest that older patients using antiplatelets or anticoagulants are especially at risk of lower serum NaC.