Evidence map›Paper›PMID 37676877›Full record

ArticleJMIR research protocols2023

Moral Distress, Mental Health, and Risk and Resilience Factors Among Military Personnel Deployed to Long-Term Care Facilities During the COVID-19 Pandemic: Research Protocol and Participation Metrics.

Anthony Nazarov, Deniz Fikretoglu, Aihua Liu, Jennifer Born, Kathy Michaud, Tonya Hendriks, Stéphanie Ah Bélanger, Minh T Do, Quan Lam, Brenda Brooks and 5 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Anthony NazarovMacDonald Franklin Operational Stress Injury Research Centre, Lawson Health Research Institute, London, ON, Canada.ORCID https://orcid.org/0000-0002-3288-7609
Deniz FikretogluDefence Research and Development Canada, Department of National Defence, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-7268-6609
Aihua LiuHumanSystems Inc, Guelph, ON, Canada.ORCID https://orcid.org/0000-0003-0309-114X
Jennifer BornDirector General Military Personnel Research and Analysis, Department of National Defence, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0003-1284-3905
Kathy MichaudDirector General Military Personnel Research and Analysis, Department of National Defence, Ottawa, ON, Canada.ORCID https://orcid.org/0009-0008-0117-7015
Tonya HendriksDefence Research and Development Canada, Department of National Defence, Toronto, ON, Canada.ORCID https://orcid.org/0009-0008-1546-8745
Stéphanie Ah BélangerRoyal Military College of Canada, Kingston, ON, Canada.ORCID https://orcid.org/0000-0002-1100-1143
Minh T DoDirectorate of Mental Health, Canadian Forces Health Services, Department of National Defence, Ottawa, ON, Canada.ORCID https://orcid.org/0009-0006-0296-9140
Quan LamDefence Research and Development Canada, Department of National Defence, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-4650-7459
Brenda BrooksDefence Research and Development Canada, Department of National Defence, Toronto, ON, Canada.ORCID https://orcid.org/0009-0001-8308-9404
Kristen KingDefence Research and Development Canada, Department of National Defence, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-0903-9062
Kerry SudomDirector General Military Personnel Research and Analysis, Department of National Defence, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0001-7101-8361
Rakesh JetlyDirectorate of Mental Health, Canadian Forces Health Services, Department of National Defence, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0001-6610-9365
Bryan GarberDirectorate of Mental Health, Canadian Forces Health Services, Department of National Defence, Ottawa, ON, Canada.ORCID https://orcid.org/0009-0002-1010-8878
Megan ThompsonDefence Research and Development Canada, Department of National Defence, Toronto, ON, Canada.ORCID https://orcid.org/0009-0008-3355-2684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe earliest days of the COVID-19 pandemic in Canada were marked by a significant surge in COVID-19 cases and COVID-19-related deaths among residents of long-term care facilities (LTCFs). As part of Canada's response to the COVID-19 pandemic, Canadian Armed Forces (CAF) personnel were mobilized for an initial emergency domestic deployment to the hardest-hit LTCFs (Operation LASER LTCF) to support the remaining civilian staff in ensuring the continued delivery of care to residents. Akin to what was observed following past CAF international humanitarian missions, there was an expected increased risk of exposure to multiple stressors that may be psychologically traumatic and potentially morally injurious in nature (ie, related to core values, eg, witnessing human suffering). Emerging data from health care workers exposed to the unprecedented medical challenges and dilemmas of the early pandemic stages also indicated that such experiences were associated with increased risk of adverse mental health outcomes.

objectiveThis study aims to identify and quantify the individual-, group-, and organizational-level risk and resilience factors associated with moral distress, moral injury, and traditional mental health and well-being outcomes of Operation LASER LTCF CAF personnel. This paper aimed to document the methodology, implementation procedures, and participation metrics.

methodsA multimethod research initiative was conducted consisting of 2 primary data collection studies (a quantitative survey and qualitative interviews). The quantitative arm was a complete enumeration survey with web-based, self-report questionnaires administered at 3 time points (3, 6, and 12 mo after deployment). The qualitative arm consisted of individual, web-based interviews with a focus on understanding the nuanced lived experiences of individuals participating in the Operation LASER LTCF deployment.

resultsCAF personnel deployed to Operation LASER LTCF (N=2595) were invited to participate in the study. Data collection is now complete. Overall, of the 2595 deployed personnel, 1088 (41.93%), 582 (22.43%), and 497 (19.15%) responded to the survey at time point 1 (3 mo), time point 2 (6 mo), and time point 3 (12 mo) after deployment, respectively. The target sample size for the qualitative interviews was set at approximately 50 considering resourcing and data saturation. Interest in participating in qualitative interviews surpassed expectations, with >200 individuals expressing interest; this allowed for purposive sampling across key characteristics, including gender, rank, Operation LASER LTCF role, and province. In total, 53 interviews were conducted.

conclusionsThe data generated through this research have the potential to inform and promote better understanding of the well-being and mental health of Operation LASER LTCF personnel over time; identify general and Operation LASER LTCF-specific risk and protective factors; provide necessary support to the military personnel who served in this mission; and inform preparation and interventions for future missions, especially those more domestic and humanitarian in nature. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44299.

Indexed as

Canadian Armed Forcescentre de soins de longue duréeCOVID-19deploymenthealth carelogistics supportlong-term care facilitymental healthmilitarymoral distressmoral injuryolder adultoperational organizationqualitative interviewsquantitativequarantinereadinessresiliencerisk factorssurveywell-being

Identifiers

PMID37676877
PMCPMC10629501

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.