A comparison of changes in drug burden index between older inpatients who fell and people who have not fallen: A case-control study.

OBJECTIVE: Older inpatients who fall are often frail, with multiple co-morbidities and polypharmacy. Although the causes of falls are multifactorial, sedating and delirium-inducing drugs increase that risk. The aims were to determine whether people who fell had a change in their sedative and anticholinergic medication burden during an admission compared to people who did not fall. A secondary aim was to determine the factors associated with change in drug burden. METHODS: A retrospective, observational, case-control study of inpatients who fell. Two hundred consecutive people who fell were compared with 200 randomly selected people who had not fallen. Demographics, functional ability, frailty and cognition were recorded. For each patient, their total medications and anticholinergic and sedative burden were calculated on admission and on discharge, using the drug burden index (DBI). RESULTS: People who fell were more dependent and cognitively impaired than people who did not fallen. People who fell had a higher DBI on admission, than people who had not fall (mean: .69 vs .43, respectively, p < .001) and discharge (.66 vs .38, p < .001). For both cohorts, the DBI decreased between admission and discharge (-.03 and -.05), but neither were clinically significant. Higher total medications and a higher number DBI medications on admission were both associated with greater DBI changes (p = .003 and <.001, respectively). However, the presence (or absence) of cognitive impairment, dependency, frailty and single vs multiple falls were not significantly associated with DBI changes. CONCLUSIONS: In older people, DBI medications and falls are both common and have serious consequences, yet this study was unable to demonstrate any clinically relevant reduction in average DBI either in people who fell or people who had not fallen during a hospital admission.

The efficacy of medical student selection tools in Australia and New Zealand.

OBJECTIVES: To estimate the efficacy of selection tools employed by medical schools for predicting the binary outcomes of completing or not completing medical training and passing or failing a key examination; to investigate the potential usefulness of selection algorithms that do not allow low scores on one tool to be compensated by higher scores on other tools. DESIGN, SETTING AND PARTICIPANTS: Data from four consecutive cohorts of students (3378 students, enrolled 2007-2010) in five undergraduate medical schools in Australia and New Zealand were analysed. Predictor variables were student scores on selection tools: prior academic achievement, Undergraduate Medicine and Health Sciences Admission Test (UMAT), and selection interview. Outcome variables were graduation from the program in a timely fashion, or passing the final clinical skills assessment at the first attempt. MAIN OUTCOME MEASURES: Optimal selection cut-scores determined by discriminant function analysis for each selection tool at each school; efficacy of different selection algorithms for predicting student outcomes. RESULTS: For both outcomes, the cut-scores for prior academic achievement had the greatest predictive value, with medium to very large effect sizes (0.44-1.22) at all five schools. UMAT scores and selection interviews had smaller effect sizes (0.00-0.60). Meeting one or more cut-scores was associated with a significantly greater likelihood of timely graduation in some schools but not in others. CONCLUSIONS: An optimal cut-score can be estimated for a selection tool used for predicting an important program outcome. A "sufficient evidence" selection algorithm, founded on a non-compensatory model, is feasible, and may be useful for some schools.

Telephone discharge support for frail, vulnerable older people discharged from hospital: Impact on readmission rates - Participant and general practitioner feedback.

OBJECTIVE: To assess the use and acceptability to older participants and general practitioners (GPs) of telephone support postdischarge to reduce readmissions. METHODS: A prospective cohort study of older people after discharge from a specialist geriatric unit, and comparison with a previous cohort. Telephone follow-up calls were made fortnightly for three months. Structured questionnaires were used to obtain feedback from participants and GPs. RESULTS: Readmission rates were high, 40%, despite the intervention. This rate had significantly increased since the earlier cohort. Almost one-fifth of the sample (19%) were readmitted before the first telephone call. Subsequent readmissions were not related to whether participants had reported deteriorating health during the preceding telephone call. Feedback on the intervention from both participants and GPs was supportive. CONCLUSIONS: Telephone follow-up as we used it did not reduce readmission rates. However, it was well received and appreciated by participants. It is possible the telephone calls were not made early enough or frequently enough to achieve the desired outcome.

The impact of major earthquakes on the psychological functioning of medical students: a Christchurch, New Zealand study.

BACKGROUND: No previous studies have systematically assessed the psychological functioning of medical students following a major disaster. AIM: To describe the psychological functioning of medical students following the earthquakes in Canterbury, New Zealand, and identify predictors of adverse psychological functioning. METHOD: 7 months following the most severe earthquake, medical students completed the Depression, Anxiety and Stress Scale (DASS), the Post-Traumatic Stress Disorder Checklist, the Eysenck Personality Questionnaire, the Connor Davidson Resilience Scale, the Work and Adjustment Scale, and Likert scales assessing psychological functioning at worst and currently. RESULTS: A substantial minority of medical students reported moderate-extreme difficulties on the DASS subscales 7 months following the most severe earthquake (Depression =12%; Anxiety =9%; Stress =10%). Multiple linear modelling produced a model that predicted 27% of the variance in total scores on the DASS. Variables contributing significantly to the model were: year of medical course, presence of mental health problems prior to the earthquakes, not being New Zealand European, and being higher on retrospectively rated neuroticism prior to the earthquakes. CONCLUSION: Around 10% of medical students experienced moderate-extreme psychological difficulties 7 months following the most severe earthquake on 22 February 2011. Specific groups at high risk for ongoing psychological symptomatology were able to be identified.

Cytochrome P450 2D6 genotype does not predict SSRI (fluoxetine or paroxetine) induced hyponatraemia.

AIMS: The aims of this study were to determine if patients with SSRI-related hyponatraemia were (1) genetically poor metabolizers of CYP2D6, and/or (2) had excessive plasma concentrations of the SSRI antidepressant. METHODS: Plasma DNA from 20 people with hyponatraemia attributable to fluoxetine or paroxetine was analysed for the CYP2D6 alleles *1-*16. Trough plasma concentrations of fluoxetine and norfluoxetine, or paroxetine were assayed in nine people who remained on the antidepressant. RESULTS: Genotype results were compared with those published in a large population study. The poor metabolizer PM/PM genotype was present in one subject only, or 5% of the study population, compared with 7.2% of a general population. The 95% Cl of this result was 0-21%, suggesting that it is most unlikely that hyponatremia is related to the PM/PM genotype. The intermediate IM/PM genotype was present in 5% compared with 19.7% of a general population. All differences were not statistically significant. Antidepressant concentrations of fluoxetine (n = 5, all EM) and paroxetine (n = 1 IM/PM and n = 3 EM) were all within the lower half of the reference range. CONCLUSIONS: These results do not support the hypothesis that SSRI-related hyponatraemia is linked to genetically poor metabolizers, or excessive drug concentrations.