Cited by 129COVID-19 and Mental HealthDisaster Response and ManagementResilience and Mental Health

Computer-assisted resilience training to prepare healthcare workers for pandemic influenza: a randomized trial of the optimal dose of training

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Maunder, Robert G, Lancee, William J, Mae, Reet, Vincent, Leslie, Peladeau, Nathalie, Beduz, Mary Agnes, Hunter, Jonathan J, Leszcz, Molyn·2010·BMC Health Services Research

Abstract

BACKGROUND: Working in a hospital during an extraordinary infectious disease outbreak can cause significant stress and contribute to healthcare workers choosing to reduce patient contact. Psychological training of healthcare workers prior to an influenza pandemic may reduce stress-related absenteeism, however, established training methods that change behavior and attitudes are too resource-intensive for widespread use. This study tests the feasibility and effectiveness of a less expensive alternative - an interactive, computer-assisted training course designed to build resilience to the stresses of working during a pandemic. METHODS: A "dose-finding" study compared pre-post changes in three different durations of training. We measured variables that are likely to mediate stress-responses in a pandemic before and after training: confidence in support and training, pandemic-related self-efficacy, coping style and interpersonal problems. RESULTS: 158 hospital workers took the course and were randomly assigned to the short (7 sessions, median cumulative duration 111 minutes), medium (12 sessions, 158 minutes) or long (17 sessions, 223 minutes) version. Using an intention-to-treat analysis, the course was associated with significant improvements in confidence in support and training, pandemic self-efficacy and interpersonal problems. Participants who under-utilized coping via problem-solving or seeking support or over-utilized escape-avoidance experienced improved coping. Comparison of doses showed improved interpersonal problems in the medium and long course but not in the short course. There was a trend towards higher drop-out rates with longer duration of training. CONCLUSIONS: Computer-assisted resilience training in healthcare workers appears to be of significant benefit and merits further study under pandemic conditions. Comparing three "doses" of the course suggested that the medium course was optimal.

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  1. Belcher J Vonderhaar K Web-delivered research-based nursing staff education for seeking Magnet Status Journal of Nursing Administration 2005 35 332 338 10.1097/00005110-200509000-00004 16200002 · DOI

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Authors
Maunder, R. G., Lancee, W. J., Mae, R., Vincent, L., Peladeau, N., Beduz, M. A., Hunter, J. J., & Leszcz, M.
Affiliations
Mount Sinai Hospital (CA)
Corresponding author
Maunder, Robert G
Venue
BMC Health Services Research
Published
2010-03-22
Volume
10
Issue
1
Pages
72-72
ISSN
1472-6963 (ISSN-L)
OpenAlex
W2008615047
Cited by
129
References
46
Citations by year
2026: 2 · 2025: 3 · 2024: 3 · 2023: 17 · 2022: 28 · 2021: 39 · 2020: 24 · 2019: 1 · 2018: 4 · 2017: 3 · 2016: 1 · 2014: 1 · 2013: 1
FWCI
1.05
Type
journal article
Language
en
Open access
Locations
  • BMC Health Services Research (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • TSpace (University of Toronto) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
Canadian Institutes of Health Research (83139_1, 83139)
Topics
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Health Sciences › Health Professions › Emergency Medical Services › Disaster Response and Management
  • Social Sciences › Psychology › Clinical Psychology › Resilience and Mental Health
Keywords
computer-based training, resilience training, healthcare workers, pandemic influenza, occupational stress, self-efficacy, coping styles, interpersonal problems, training dose, hospital staff, absenteeism
MeSH terms
Absenteeism, Adaptation, Psychological, Canada, Computer-Assisted Instruction, Curriculum, Disaster Planning, Humans, Influenza, Human, Personnel, Hospital, Stress, Psychological, Time Factors, Intention to Treat Analysis, Pandemics

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