Evidence map›Paper›PMID 35737960›Full record

ArticleAnnals of work exposures and health2022

Nursing Home, Ward and Worker Level Determinants of Perceived Quantitative Work Demands: A Multi-Level Cross-Sectional Analysis in Eldercare.

Matthew L Stevens, Kristina Karstad, Leticia Bergamin Januario, Svend Erik Mathiassen, Reiner Rugulies, David M Hallman, Andreas Holtermann

Open access · hybridAbstract read
In one paragraph

Article in Annals of work exposures and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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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

7 authors at 4 institutions in 2 countries.

Matthew L StevensDepartment of Musculoskeletal Disorders and Physical Workload, The National Research Centre for the Working Environment, Lersø Parkallé 105, 2100 København ØDenmark.ORCID 0000-0002-2621-4811
Kristina KarstadDepartment of Musculoskeletal Disorders and Physical Workload, The National Research Centre for the Working Environment, Lersø Parkallé 105, 2100 København ØDenmark.
Leticia Bergamin JanuarioDepartment of Occupational Health Sciences and Psychology, Centre for Musculoskeletal Research, University of Gävle, Kungsbäcksvägen 47, 801 76 Gävle, Sweden.
Svend Erik MathiassenDepartment of Occupational Health Sciences and Psychology, Centre for Musculoskeletal Research, University of Gävle, Kungsbäcksvägen 47, 801 76 Gävle, Sweden.
Reiner RuguliesDepartment of Musculoskeletal Disorders and Physical Workload, The National Research Centre for the Working Environment, Lersø Parkallé 105, 2100 København ØDenmark.ORCID 0000-0002-7752-131X
David M HallmanDepartment of Occupational Health Sciences and Psychology, Centre for Musculoskeletal Research, University of Gävle, Kungsbäcksvägen 47, 801 76 Gävle, Sweden.
Andreas HoltermannDepartment of Musculoskeletal Disorders and Physical Workload, The National Research Centre for the Working Environment, Lersø Parkallé 105, 2100 København ØDenmark.
University of Gävle · SENational Research Centre for the Working Environment · DKUniversity of Copenhagen · DKUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPerceived quantitative demands at work have been associated with poor mental and physical health, long-term sickness absence and subsequent early retirement. Identifying modifiable determinants of perceived quantitative demands at different levels of the organization is key to developing effective interventions. The aim of the study was to identify determinants of perceived quantitative demands at work and examine the extent to which they occur at different levels of the eldercare organisation (i.e. the worker, ward and nursing home levels).

methodsWe collected data on 383 eldercare workers in 95 wards at 20 nursing homes in Denmark using workplace observations and questionnaires to workers and their managers. Perceived quantitative work demands were assessed using two items from the Copenhagen Psychosocial Questionnaire, II. We identified contributions to overall variability from the three organisational levels using variance components analysis, and examined associations between determinants at these three levels and quantitative demands.

resultsAlmost all (90.9%) the variability in perceived quantitative demands occurred between eldercare workers (within wards). Determinants significantly associated with lower quantitative demands were: having a job as a care helper, working fixed evening shifts, being born outside Denmark, having lower influence at work, higher quality of leadership and lower emotional demands. None of the investigated physical factors (e.g. resident handlings, push/pull tasks, step-count) were associated with perceived quantitative demands.

conclusionWe found that the variability in perceived quantitative demands occurred primarily between eldercare workers within wards. Our study indicates that psychosocial work environment factors are the strongest modifiable determinants of perceived quantitative demands in eldercare, while organisational factors related to job position, shift, and resident-staff ratio also play a role. Interventions should test if changes in these determinants can reduce perceived quantitative demands at work in eldercare.

Indexed as

Occupational ExposureCross-Sectional StudiesHumansNursing HomesSurveys and QuestionnairesWorkplaceeldercare workersquantitative work demands

Identifiers

PMID35737960
PMCPMC9551322
OpenAlexW4283367201

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.