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Related Concept Videos

Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
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Resolving latent safety threats identified through in situ simulation: a multicentre mixed-methods study.

Jennifer Weller1,2, Kate Fahey-Williams3, Kaylene Henderson3,4

  • 1Centre for Medical and Health Sciences Education, School of Medicine, University of Auckland, Auckland, New Zealand. j.weller@auckland.ac.nz.

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In situ simulation identifies healthcare safety threats, but only 28% are resolved. Improving patient safety requires better organizational support for addressing identified threats, especially those needing collaboration.

Keywords:
Clinical governanceHealthcare systemsIn situ simulationLatent safety threatsPatient safetyQuality improvement

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Area of Science:

  • Healthcare safety
  • Clinical risk management
  • Simulation in medicine

Background:

  • In situ simulation effectively identifies latent safety threats in healthcare settings.
  • Limited focus exists on the systematic resolution of threats identified through simulation.
  • Enhancing clinical safety and system resilience necessitates a structured approach to threat management.

Purpose of the Study:

  • To investigate the resolution rates of safety threats identified during in situ simulation courses in Aotearoa New Zealand hospitals.
  • To quantify the resolution of these threats and identify factors influencing successful outcomes.
  • To explore contextual and experiential factors affecting threat resolution through qualitative methods.

Main Methods:

  • Exploratory sequential mixed-methods design across multiple centers.
  • Data collection on latent safety threats using a structured reporting tool, with resolution assessed at three months.
  • Multilevel regression analysis and qualitative interviews with simulation convenors.

Main Results:

  • 278 safety threats identified across 20 courses in 15 hospitals; 28% were resolved.
  • Threats related to equipment, environment, and tasks were more resolved than teamwork or organizational issues.
  • Smaller hospitals had higher resolution rates; hospital size and threat type significantly predicted resolution.

Conclusions:

  • In situ simulation is effective for identifying threats, but resolution remains a challenge.
  • Aligning institutional processes with clinician insights is crucial for effective threat mitigation.
  • Healthcare systems must actively support threat resolution through clinician empowerment and clear accountability processes.