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Record W2048811268 · doi:10.1037/a0034464

Bridging the gap: Workplace mental health research in Canada.

2013· article· en· W2048811268 on OpenAlexaffabout
Jennifer K. Dimoff, E. Kevin Kelloway

Bibliographic record

VenueCanadian Psychology/Psychologie canadienne · 2013
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsPsychologyMental healthBridging (networking)Applied psychologySocial psychologyPsychiatryClinical psychology

Abstract

fetched live from OpenAlex

Over the past few decades, poor employee mental health has become one of Canada's most prevalent and costly occupational health issues. The recently released Canadian National Standard on Psychological Health and Safety is helping to broaden the corporate perspective of mental health and provide organisations with more systematic workplace mental health guidelines. We suggest that it is theoretically and practically important for researchers to continue to pursue the following four areas of occupational mental health research: 1) the development of theory; 2) the standardization of strategy development and evaluation; 3) the improvement of longitudinal research; 4) and the application of workplace mental health strategies in natural workplace settings.Keywords: employee mental health, occupational health, workplace strategiesAs the largest contributor to the disease burden in middle-and high-income countries (World Health Organization [WHO], 2004), mental health problems are significantly impacting billions of people throughout the world (Collins et al., 2011). In Canada alone, approximately 6.7 million people-nearly one fifth of the country's population-are currently living with a mental health problem (Smetanin et al., 2011). Unfortunately, as mental health problems continue to become more prevalent, so do their associated costs. In 2011, it was estimated that the Canadian economy loses approximately $50 billion every single year as a result of mental health problems, and that over the next 30 years, the total jcost to the Canadian economy will likely amount to well over $2.5 ' trillion (Smetanin et al., 2011).Because of these substantial financial losses, government and corporate interest in the mental health of Canadians is rising (Mental Health Commission of Canada [MHCC], 2012). Given that Canadian organisations collectively lose upward of $6 billion annually as a result of productivity declines associated with poor employee mental health (Smetanin et al., 2011), more and more organisational leaders are attempting to invest in the mental health of their employees (MHCC, 2012). With the cumulative 30-year productivity impact expected to be nearly $198 billion (Smetanin et al., 2011), the burden of poor employee mental health is likely to impede the overall growth of the Canadian economy-a consequence that has the potential to affect all Canadians. Because of these significant costs for Canadian organisations and members of the general public, systematic workplace research is still needed to better understand how organisations can prevent, manage, and help treat common employee mental health problems, such as excessive stress, burnout, depression, anxiety, and substance abuse problems.Efforts to improve knowledge about mental health and mental health problems have been relatively infrequent, especially compared with efforts designed to improve knowledge about physical health problems (Jorm, 2000). As a result, many employers and employees tend to have a relatively limited understanding of mental health (Jorm, 2000; WHO, 2000). Unsurprisingly, mental health literacy-one's knowledge, beliefs, and understanding about mental health problems and treatments-is remarkably low throughout the world, especially when compared with the worldwide level of physical health literacy (Jorm, 2000). In fact, mental health literacy is so low that many people with mental health problems suffer from substantial human rights violations, such as discrimination and social stigma (WHO, 2003), which often go unnoticed and unaddressed. As contended by the World Health Organization (2000), although employers have no problem recognising and accommodating an employee with a physical health problem, such as a broken arm or cancer, many employers are either hesitant or unaware of the appropriate responses and accommodations for an employee with a mental health problem.The Impact of Poor Employee Mental Health on the WorkplaceMany Canadian companies experience some of the negative organisational and employee-level consequences associated with poor employee mental health (Dunnagan, Peterson, & Haynes, 2001) . …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0030.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.153
GPT teacher head0.452
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations31
Published2013
Admission routes2
Has abstractyes

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