Dataset Information

Developing a simulation safety policy for translational simulation programs in healthcare.

ABSTRACT: Healthcare simulation may present risks to safety, especially when delivered 'in situ'-in real clinical environments-when lines between simulated and real practice may be blurred. We felt compelled to develop a simulation safety policy (SSP) after reading reports of adverse events in the healthcare simulation literature, editorials highlighting these safety risks, and reflecting on our own experience as a busy translational simulation service in a large healthcare institution.The process for development of a comprehensive SSP for translational simulation programs is unclear. Personal correspondence with leaders of simulation programs like our own revealed a piecemeal approach in most institutions. In this article, we describe the process we used to develop the simulation safety policy at our health service, and crystalize principles that may provide guidance to simulation programs with similar challenges.

SUBMITTER: Brazil V

PROVIDER: S-EPMC8785148 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Developing a simulation safety policy for translational simulation programs in healthcare.

Brazil Victoria V Scott Clare C Matulich Jack J Shanahan Brenton B

Advances in simulation (London, England) 20220124 1

Healthcare simulation may present risks to safety, especially when delivered 'in situ'-in real clinical environments-when lines between simulated and real practice may be blurred. We felt compelled to develop a simulation safety policy (SSP) after reading reports of adverse events in the healthcare simulation literature, editorials highlighting these safety risks, and reflecting on our own experience as a busy translational simulation service in a large healthcare institution.The process for dev ...[more]

PMID: 35074018

Similar Datasets

Project description:BackgroundPsychological safety is a dynamic team-level phenomenon which exists when team members believe that it is safe to take interpersonal risks. In healthcare teams, the presence of psychological safety is critical to delivering safe care. Scholars have highlighted a need for alternative measures which compliment survey-based measures of psychological safety in healthcare teams.MethodsThe exploratory phase of this study raised concerns about whether current survey measures could provide a sufficient understanding of psychological safety within healthcare teams to inform strategies to improve it. Thus, previously validated psychological safety surveys and a meeting observation measure were adapted for use in healthcare teams. First, two group feedback sessions were held with 22 healthcare professionals, as well as a systematic literature review. Then, the members of eleven healthcare teams in Ireland and The Netherlands (n = 135) took part in the pilot test of the adapted composite measure.ResultsThe final composite measure has two parts: a team meeting observation measure and an adapted survey. The observation measure has 31 observable behaviours fitting seven categories: voice, defensive voice, silence behaviours, supportive, unsupportive, learning or improvement-oriented and familiarity type behaviours. The survey part consists of 19 items in three sub-dimensions related to; the team leader, other team members and the team as a whole. Three additional items capture the perceived representativeness of the observed team meeting compared to other similar meetings. Final adaptations were made in order to integrate the observation and survey measure.ConclusionsThe resulting composite measure combines the strengths of observational and survey measures and is tailored for use in healthcare teams. It is uniquely co-developed with healthcare professionals and grounded in the psychological safety and healthcare literature. This composite measure can enable longitudinal research on psychological safety and inform future research to develop and test interventions to improve psychological safety.

Project description:BackgroundAll federal agencies are required to support appropriation requests with evidence and evaluation (US Public Law 115-435; the Evidence Act). The StrAtegic PoLicy EvIdence-Based Evaluation CeNTer (SALIENT) is 1 of 6 centers that help the Department of Veterans Affairs (VA) meet this requirement.ObjectiveWorking with the existing VA evaluation structure, SALIENT evaluations will contribute to (1) optimize policies and programs for veteran populations; (2) improve outcomes regarding health, equity, cost, and provider well-being; (3) advance the science of dissemination and knowledge translation; and (4) expand the implementation and dissemination science workforce.MethodsWe leverage the Lean Sprint methodology (iterative, incremental, rule-governed approach to clearly defined, and time-boxed work) and 3 cores to develop our evaluation plans collaboratively with operational partners and key stakeholders including veterans, policy experts, and clinicians. The Operations Core will work with evaluation teams to develop timelines, facilitate work, monitor progress, and guide quality improvement within SALIENT. The Methods Core will work with evaluation teams to identify the most appropriate qualitative, quantitative, and mixed methods approaches to address each evaluation, ensure that the analyses are conducted appropriately, and troubleshoot when problems with data acquisition and analysis arise. The Knowledge Translation (KT) Core will target key partners and decision makers using a needs-based market segmentation approach to ensure that needs are incorporated in the dissemination of knowledge. The KT Core will create communications briefs, playbooks, and other materials targeted at these market segments to facilitate implementation of evidence-based practices and maximize the impact of evaluation results.ResultsThe SALIENT team has developed a center infrastructure to support high-priority evaluations, often to be responsive to shifting operational needs and priorities. Our team has engaged in our core missions and operations to rapidly evaluate a high-priority areas, develop a comprehensive Lean Sprint systems redesign approach to training, and accelerate rapid knowledge translation.ConclusionsWith an array of interdisciplinary expertise, operational partnerships, and integrated resources, SALIENT has an established and evolving infrastructure to rapidly develop and implement high-impact evaluations. Projects are developed with sustained efficiency approaches that can pivot to new priorities as needed and effectively translate knowledge for key stakeholders and policy makers, while creating a learning health system infrastructure to foster the next generation of evaluation and implementation scientists.International registered report identifier (irrid)PRR1-10.2196/59830.

Dataset Information

Developing a simulation safety policy for translational simulation programs in healthcare.

Publications

Developing a simulation safety policy for translational simulation programs in healthcare.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets