Evidence map›Paper›PMID 30760237›Full record

ArticleBMC public health2019

Evaluation of Get Healthy at Work, a state-wide workplace health promotion program in Australia.

Melanie Crane, Erika Bohn-Goldbaum, Beverley Lloyd, Chris Rissel, Adrian Bauman, Devon Indig, Santosh Khanal, Anne Grunseit

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Integrating Occupational Health and Safety and Health Promotion: A Qualitative Study in Australia.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
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  9. Service provider perspectives on implementing the NSW Get Healthy at Work program.International journal of qualitative studies on health and well-being · 2021
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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

8 authors.

Melanie CranePrevention Research Collaboration, The Charles Perkins Centre, Sydney School of Public Health, The University of Sydney, Sydney, NSW, 2006, Australia. Melanie.crane@sydney.edu.au.ORCID http://orcid.org/0000-0002-3058-2211
Erika Bohn-GoldbaumPrevention Research Collaboration, The Charles Perkins Centre, Sydney School of Public Health, The University of Sydney, Sydney, NSW, 2006, Australia.
Beverley LloydNSW Office of Preventive Health, Liverpool Hospital, Liverpool, NSW, 2170, Australia.
Chris RisselNSW Office of Preventive Health, Liverpool Hospital, Liverpool, NSW, 2170, Australia.
Adrian BaumanPrevention Research Collaboration, The Charles Perkins Centre, Sydney School of Public Health, The University of Sydney, Sydney, NSW, 2006, Australia.
Devon IndigPrevention Research Collaboration, The Charles Perkins Centre, Sydney School of Public Health, The University of Sydney, Sydney, NSW, 2006, Australia.
Santosh KhanalNSW Office of Preventive Health, Liverpool Hospital, Liverpool, NSW, 2170, Australia.
Anne GrunseitPrevention Research Collaboration, The Charles Perkins Centre, Sydney School of Public Health, The University of Sydney, Sydney, NSW, 2006, Australia.

Funding

National Health and Medical Research Council GNT9100001
6 · The paper itself

Abstract

backgroundWorkplace health programs (WHPs) may improve adult health but very little evidence exists on multi-level WHPs implemented at-scale and so the relationship between program implementation factors and outcomes of WHPs are poorly understood. This study evaluated Get Healthy at Work (GHaW), a state-wide government-funded WHP in Australia.

methodsA mixed-method design included a longitudinal quasi-experimental survey of businesses registered with GHaW and a comparison group of businesses surveyed over a 12-month period. Semi-structured interviews and focus groups with key contacts and employees of selected intervention group businesses and the service providers of the program were conducted to assess program adoption and adaptation.

resultsPositive business-level changes in workplace culture were observed over time among GHaW businesses compared with the control group. Multilevel regression modelling revealed perceptions that employees were generally healthy (p = 0.045 timeXgroup effect) and that the workplace promoted healthy behaviours (p = 0.004 timeXgroup effect) improved significantly while the control group reported no change in work culture perceptions. Changes in perceptions about work productivity were not observed; however only one third of businesses registered for the program had adopted GHaW during the evaluation period. Qualitative results revealed a number of factors contributing to program adoption: which depended on program delivery (e.g., logistics, technology and communication channels), design features of the program, and organisational factors (primarily business size and previous experience of WHPs).

conclusionsEvaluation of program factors is important to improve program delivery and uptake and to ensure greater scalability. GHaW has the potential to improve workplace health culture, which may lead to better health promoting work environments. These results imply that government can play a central role in enabling prioritisation and incentivising health promotion in the workplace.

Indexed as

Health BehaviorOccupational HealthAdultAustraliaHealth PromotionHumansOccupational Health ServicesProgram EvaluationSurveys and QuestionnairesWorkplaceHealth promotionMixed methodsNon-communicable disease preventionProgram evaluationWorkplace health promotion

Identifiers

PMID30760237
PMCPMC6373144

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.