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1.
Anaesth Intensive Care ; 48(6): 454-464, 2020 Nov.
Article in English | MEDLINE | ID: mdl-33198475

ABSTRACT

Gender inequity persists within the anaesthetic workforce, despite approaching numerical parity in Australia and New Zealand. There is evidence, from anaesthesia and the wider health workforce, that domestic gender norms regarding parental responsibilities contribute to this. The creation of 'family-friendly' workplaces may be useful in driving change, a concept reflected in the gender equity action plan developed by the Australian and New Zealand College of Anaesthetists. This study aimed to explore the extent to which a family-friendly culture exists within anaesthesia training in New Zealand, from the perspective of leaders in anaesthesia departments. An electronic survey composed of quantitative and qualitative questions was emailed to all supervisors of training, rotational supervisors and departmental directors at Australian and New Zealand College of Anaesthetists accredited training hospitals in New Zealand. Twenty-eight of the 71 eligible participants responded (response rate 39%). The majority (61%) agreed with the statement 'our department has a "family friendly" approach to anaesthesia trainees'; however, there was a discrepancy between views about how departments should be and how they actually are. Several barriers contributing to this discrepancy were identified, including workforce logistics, governance, departmental structures and attitudes. Uncertainty in responses regarding aspects of working hours, parental leave and the use of domestic sick leave reflect gaps in understanding, with scope for further enquiry and education. To redress gender bias seriously through the development of family-friendly policies and practices requires supportive governance and logistics, along with some cultural change.


Subject(s)
Anesthesia , Sexism , Australia , Family , Female , Humans , Male , New Zealand , Pregnancy , Surveys and Questionnaires
2.
BMJ Open ; 10(2): e032997, 2020 02 19.
Article in English | MEDLINE | ID: mdl-32079573

ABSTRACT

INTRODUCTION: NetworkZ is a national, insurer-funded multidisciplinary simulation-based team-training programme for all New Zealand surgical teams. NetworkZ is delivered in situ, using full-body commercial simulators integrated with bespoke surgical models. Rolled out nationally over 4 years, the programme builds local capacity through instructor training and provision of simulation resources. We aim to improve surgical patient outcomes by improving teamwork through regular simulation-based multidisciplinary training in all New Zealand hospitals. METHODS AND ANALYSIS: Our primary hypothesis is that surgical patient outcomes will improve following NetworkZ. Our secondary hypotheses are that teamwork processes will improve, and treatment injury claims will decline. In addition, we will explore factors that influence implementation and sustainability of NetworkZ and identify organisational changes following its introduction. The study uses a stepped-wedge cluster design. The intervention will roll out at yearly intervals to four cohorts of five District Health Boards. Allocation to cohort was purposive for year 1, and subsequently randomised. The primary outcome measure is Days Alive and Out of Hospital at 90 days using patient data from an existing national administrative database. Secondary outcomes measures will include analysis of postoperative complications and treatment injury claims, surveys of teamwork and safety culture, in-theatre observations and stakeholder interviews. ETHICS AND DISSEMINATION: We believe this is the first surgical team training intervention to be implemented on a national scale, and a unique opportunity to evaluate a nation-wide team-training intervention for healthcare teams. By using a pre-existing large administrative data set, we have the potential to demonstrate a difference to surgical patient outcomes. This will be of interest to those working in the field of healthcare teamwork, quality improvement and patient safety. New Zealand Health and Disability Ethic Committee approval (#16/NTB/143). TRIAL REGISTRATION NUMBER: Australian and New Zealand Clinical Trials Registry ID ACTRN12617000017325 and the Universal Trial Number is U1111-1189-3992.


Subject(s)
General Surgery/education , Patient Care Team , Program Evaluation/methods , Quality Improvement , Research Design , Simulation Training/methods , Cluster Analysis , Hospitals, Public , Humans , Insurance Carriers , New Zealand , Patient Safety
3.
Scand J Work Environ Health ; 33(2): 148-52, 2007 Apr.
Article in English | MEDLINE | ID: mdl-17460803

ABSTRACT

OBJECTIVE: This study assessed the effect of removing artifacts from workplace electroencephalography (EEG) recordings on power spectra and the consequent interpretation of changes in alertness. METHODS: EEG was recorded for 27 air traffic controllers on the night shifts of four roster cycles. On two of the four night shifts, each controller was given a 40-minute opportunity to nap, while on the other two they remained awake (105 shifts in total). Recordings for the last hour of each night shift were screened for artifacts by an experienced viewer (who viewed the EEG in isolation from other electrophysiological recordings). The effects of the nap opportunity on the EEG power spectra were then analyzed in a mixed model analysis of variance in the presence and absence of artifact-contaminated data. RESULTS: Overall, 89.3% of the EEG recordings contained artifacts. Removal of these data markedly altered the interpretation of how the nap opportunities affected the EEG power spectra. The spectral parameters of the artifact appeared to be different when the participants were given the opportunity to nap. CONCLUSIONS: Removal of artifacts can dramatically affect the interpretation of workplace EEG recordings. This potential source of error is often unreported.


Subject(s)
Artifacts , Brain/physiology , Cognition , Electroencephalography , Work Schedule Tolerance/physiology , Adult , Analysis of Variance , Aviation , Female , Humans , Male , Middle Aged , Monitoring, Physiologic , New Zealand , Signal Processing, Computer-Assisted , Sleep/physiology , Workplace
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