A77 Human Factors based simulation training for Internationally Educated Nurses

Introduction: Between 2022-2023, Internationally Educated Nurses (IEN) comprised over 40% of new registrants to the Nursing and Midwifery Council [1]. IENs report a ‘culture shock’ and feel like ‘strangers’ when arriving in the NHS [1,2]. Moreover, human factors (such as communication) are a known cultural barrier faced by IENs. There is therefore a need for investment in training that facilitates cultural and linguistic competence [1]. Within our centre, a preceptorship programme exists for IENs. This includes the opportunity to attend an inter-professional simulation course, with a focus on human factors acquisition and development. Aim: To evaluate the self-reported confidence of IENs in human factors themes, and the impact of an interprofessional human factors-based simulation course. Methods: All IENs were invited to attend a multi-professional simulation course as part of their preceptorship programme. 54 nurses attended 18 sessions between October 2023 and April 2024. An initial workshop on human factors was undertaken, before completing four simulated scenarios. A thorough human factors orientated debrief for each scenario was undertaken utilising the centre’s preferred model. Self-reported confidence values across human factors themes were assessed using the Human Factors Skills for Healthcare Instrument (HuFSHI) [3]. Anonymous baseline and immediate post-course scores were collected. Results: Thirty-seven IENs completed the baseline HuFSHI questionnaire, 18 of which completed the post-course questionnaire. Those who only completed the post-course questionnaire were excluded due to incomplete demographic details. The most common ethnicity of attendees was Asian/Asian British followed by Black/Black British, Caribbean or African. 81% did not speak English as a first language and 73% had no previous human factors training. All HuFSHI parameters demonstrated notable improvements following the course (Table 1-A77). Initially, 33% felt neutral/underconfident in asking team members for information in a busy ward whereas, following the course, 100% felt confident or very confident. Overall, all participants viewed the session as useful to understanding the impact of human factors on patient care. Human Factors Skills for Healthcare Instrument (HuFSHI) self-reported confidence values Discussion: The need for human factors training for new IENs has been demonstrated alongside the positive impact that a simulation course has on IEN confidence values across human factors themes. To further assess the longevity of this intervention, a three-month follow up questionnaire will be circulated. Future research should consider whether this positive impact translates into improved patient safety and staff integration. Ethics statement: Authors confirm that all relevant ethical standards for research conduct and dissemination have been met. The submitting author confirms that relevant ethical approval was granted, if applicable. References 1. Lanada JA, Culligan K. The experiences of internationally educated nurses who joined the nursing workforce in England. The British Journal of Nursing. 2024;33(2):78–84. 2. Winkelmann-Gleed A, Seeley J. Strangers in a British world? Integration of international nurses. The British Journal of Nursing. 2005;14(18):954–961. 3. Reedy GB, Lavelle M, Simpson T, Anderson JE. Development of the Human Factors Skills for Healthcare Instrument: a valid and reliable tool for assessing interprofessional learning across healthcare practice settings. BMJ Simulation and Technology Enhanced Learning. 2017;3(4):135–141.

Authors

Publication Details

Journal
Journal of Healthcare Simulation
Published
2024-11-04
DOI
https://doi.org/10.54531/jizd5366
Primary Topic
Global Health Workforce Issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A77 Human Factors based simulation training for Internationally Educated Nurses

Lucy Lloyd-Williams, Clara Watkins, Hannah Maple, Shumontha Dev et al.
Journal of Healthcare Simulation
Global Health Workforce Issues
article

A77 Human Factors based simulation training for Internationally Educated Nurses

Lucy Lloyd-Williams, Clara Watkins, Hannah Maple, Shumontha Dev, Joanna Miles
article en

Abstract

Introduction: Between 2022-2023, Internationally Educated Nurses (IEN) comprised over 40% of new registrants to the Nursing and Midwifery Council [1]. IENs report a ‘culture shock’ and feel like ‘strangers’ when arriving in the NHS [1,2]. Moreover, human factors (such as communication) are a known cultural barrier faced by IENs. There is therefore a need for investment in training that facilitates cultural and linguistic competence [1]. Within our centre, a preceptorship programme exists for IENs. This includes the opportunity to attend an inter-professional simulation course, with a focus on human factors acquisition and development. Aim: To evaluate the self-reported confidence of IENs in human factors themes, and the impact of an interprofessional human factors-based simulation course. Methods: All IENs were invited to attend a multi-professional simulation course as part of their preceptorship programme. 54 nurses attended 18 sessions between October 2023 and April 2024. An initial workshop on human factors was undertaken, before completing four simulated scenarios. A thorough human factors orientated debrief for each scenario was undertaken utilising the centre’s preferred model. Self-reported confidence values across human factors themes were assessed using the Human Factors Skills for Healthcare Instrument (HuFSHI) [3]. Anonymous baseline and immediate post-course scores were collected. Results: Thirty-seven IENs completed the baseline HuFSHI questionnaire, 18 of which completed the post-course questionnaire. Those who only completed the post-course questionnaire were excluded due to incomplete demographic details. The most common ethnicity of attendees was Asian/Asian British followed by Black/Black British, Caribbean or African. 81% did not speak English as a first language and 73% had no previous human factors training. All HuFSHI parameters demonstrated notable improvements following the course (Table 1-A77). Initially, 33% felt neutral/underconfident in asking team members for information in a busy ward whereas, following the course, 100% felt confident or very confident. Overall, all participants viewed the session as useful to understanding the impact of human factors on patient care. Human Factors Skills for Healthcare Instrument (HuFSHI) self-reported confidence values Discussion: The need for human factors training for new IENs has been demonstrated alongside the positive impact that a simulation course has on IEN confidence values across human factors themes. To further assess the longevity of this intervention, a three-month follow up questionnaire will be circulated. Future research should consider whether this positive impact translates into improved patient safety and staff integration. Ethics statement: Authors confirm that all relevant ethical standards for research conduct and dissemination have been met. The submitting author confirms that relevant ethical approval was granted, if applicable. References 1. Lanada JA, Culligan K. The experiences of internationally educated nurses who joined the nursing workforce in England. The British Journal of Nursing. 2024;33(2):78–84. 2. Winkelmann-Gleed A, Seeley J. Strangers in a British world? Integration of international nurses. The British Journal of Nursing. 2005;14(18):954–961. 3. Reedy GB, Lavelle M, Simpson T, Anderson JE. Development of the Human Factors Skills for Healthcare Instrument: a valid and reliable tool for assessing interprofessional learning across healthcare practice settings. BMJ Simulation and Technology Enhanced Learning. 2017;3(4):135–141.

Journal of Healthcare Simulation
Openalex Percentile: Top 52%
Global Health Workforce Issues
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.