Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology.

Although variation in effect sizes and predicted values among studies of similar phenomena is inevitable, such variation far exceeds what might be produced by sampling error alone. One possible explanation for variation among results is differences among researchers in the decisions they make regarding statistical analyses. A growing array of studies has explored this analytical variability in different fields and has found substantial variability among results despite analysts having the same data and research question.

Flying uncharted skies: Unravelling the network of contributory factors to adverse Australian RPAS events with an aggregate AcciMap.

Remotely Piloted Aircraft Systems (RPAS) are a rapidly expanding technology that operates within the larger complex aviation system. As a result, protective frameworks and risk controls for supporting safe operation are still developing. Adverse events are occurring, yet it is unclear what systemic factors interact to create them.

Reducing maternal smoking using Indigenous knowledge, practices, and online technologies.

Maternal smoking increases adverse risks for both the mother's pregnancy and the unborn child and remains disproportionately high among some Indigenous peoples. Decreasing smoking among pregnant Indigenous women has been identified as a health priority in New Zealand because of wide inequities in smoking-related harms. Using pre- and post-intervention questionnaires, this feasibility study assessed the acceptability and potential efficacy of a novel cessation program designed for Indigenous women by Indigenous experts utilizing traditional knowledge and practice.

Evaluating the use of systems thinking methods in healthcare: a RE-AIM analysis of AcciMap and Net-HARMS.

There are increasing calls for the application of systems ergonomics methods in healthcare, although evidence for their utility and uptake is limited. In this study, 67 Australian healthcare workers participated in a six-month longitudinal study where they were trained to apply the AcciMap adverse event analysis and Net-HARMS risk assessment methods. Data were gathered in line with the RE-AIM (Reach, Efficacy, Adoption, Implementation, and Maintenance) evaluation framework, including rates of organisational uptake and method validity, perceived workload, usability, and barriers and facilitators to use in practice.