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Record W2754857983 · doi:10.1186/s12889-017-4722-9

Evaluation of caregiver-friendly workplace policy (CFWPs) interventions on the health of full-time caregiver employees (CEs): implementation and cost-benefit analysis

2017· article· en· W2754857983 on OpenAlexafffundabout
Allison Williams, Emile Tompa, Donna S. Lero, Janet Fast, Amin Yazdani, Işık U. Zeytinoglu

Bibliographic record

VenueBMC Public Health · 2017
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversity of WaterlooConestoga CollegeUniversity of AlbertaUniversity of GuelphInstitute for Work & HealthUniversity of TorontoMcMaster University
FundersInstitute of Gender and HealthCanadian Institutes of Health Research
KeywordsPsychosocialPsychological interventionIntervention (counseling)Mental healthHealth policyMedicineNursingPublic healthBusinessPsychiatry

Abstract

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BACKGROUND: Current Canadian evidence illustrating the health benefits and cost-effectiveness of caregiver-friendly workplace policies is needed if Canadian employers are to adopt and integrate caregiver-friendly workplace policies into their employment practices. The goal of this three-year, three study research project is to provide such evidence for the auto manufacturing and educational services sectors. The research questions being addressed are: What are the impacts for employers (economic) and workers (health) of caregiver-friendly workplace policy intervention(s) for full-time caregiver-employees? What are the impacts for employers, workers and society of the caregiver-friendly workplace policy intervention(s) in each participating workplace? What contextual factors impact the successful implementation of caregiver-friendly workplace policy intervention(s)? METHODS: Using a pre-post-test comparative case study design, Study A will determine the effectiveness of newly implemented caregiver-friendly workplace policy intervention(s) across two workplaces to determine impacts on caregiver-employee health. A quasi-experimental pre-post design will allow the caregiver-friendly workplace policy intervention(s) to be tested with respect to potential impacts on health, and specifically on caregiver employee mental, psychosocial, and physical health. Framed within a comparative case study design, Study B will utilize cost-benefit and cost-effectiveness analysis approaches to evaluate the economic impacts of the caregiver-friendly workplace policy intervention(s) for each of the two participating workplaces. Framed within a comparative case study design, Study C will undertake an implementation analysis of the caregiver-friendly workplace policy intervention(s) in each participating workplace in order to determine: the degree of support for the intervention(s) (reflected in the workplace culture); how sex and gender are implicated; co-workers' responses to the chosen intervention(s), and; other nuances at play. It is hypothesized that the benefits of the caregiver-friendly workplace policy intervention(s) will include improvements in caregiver-employees' mental, psychosocial and physical health, as well as evidence of cost-benefit and cost-effectiveness for the employer. DISCUSSION: The expected project results will provide the research evidence for extensive knowledge translation work, to be carried out in collaboration with our knowledge transition partners, to the employer/human resources and occupational health/safety target populations. TRIAL REGISTRATION: ISRCTN16187974 Registered August 25, 2016.

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)0.017
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.125
GPT teacher head0.487
Teacher spread0.361 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
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

Citations24
Published2017
Admission routes3
Has abstractyes

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