Evidence map›Paper›PMID 35206615›Full record

ArticleInternational journal of environmental research and public health2022

The Cost-Effectiveness Analysis of the Productivity Measurement and Enhancement System Intervention to Reduce Employee Work-Related Stress and Enhance Work Performance.

Irene Jensen, Zana Arapovic-Johansson, Emmanuel Aboagye

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.5field-weighted citation impact, top 6% of its field
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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Article
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  5. 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

3 authors at 1 institution in 1 country.

Irene JensenInstitute of Environmental Medicine, Karolinska Institute, 171 77 Stockholm, Sweden.ORCID 0000-0003-1745-866X
Zana Arapovic-JohanssonInstitute of Environmental Medicine, Karolinska Institute, 171 77 Stockholm, Sweden.ORCID 0000-0002-2140-8481
Emmanuel AboagyeInstitute of Environmental Medicine, Karolinska Institute, 171 77 Stockholm, Sweden.ORCID 0000-0001-5709-5387
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study evaluates the cost-effectiveness of the Productivity Measurement and Enhancement System (ProMes) intervention to reduce employee work-related stress and enhance work performance.

methodsA prospective cohort study was used to undertake the evaluation from a business perspective. Objective workload data and stress were gathered repeatedly over a 17-month period (i.e., before and after intervention). Independent

resultsBased on the results of the ITS analysis, an expenditure of EUR 41,487 was linked with no change in stress levels, according to the ACER for stress. In addition, the expenditures associated with each unit change were EUR 3319 for overall tasks per hour worked, EUR 2761 for visits per hour worked, EUR 2880 for administrative tasks, but EUR 9123 for answering phone calls.

conclusionsProMes is not cost-effective in terms of work-related stress levels, but the intervention seemed to have increased efficiency in some objective work performance measures, albeit at a relatively high extra cost.

Indexed as

Occupational StressWork PerformanceCost-Benefit AnalysisEfficiencyHumansProspective Studiesaverage cost-effectiveness ratiointerrupted time seriesobjective workloadorganizational interventionwork-related stress

Identifiers

PMID35206615
PMCPMC8874651
OpenAlexW4213061652

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.