Evidence map›Paper›PMID 30617127›Full record

ArticleOccupational and environmental medicine2019

Work-unit organisational changes and subsequent prescriptions for psychotropic medication: a longitudinal study among public healthcare employees.

Johan Høy Jensen, Jens Peter Bonde, Esben Meulengracht Flachs, Janne Skakon, Naja Hulvej Rod, Ichiro Kawachi

Abstract read
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Article in Occupational and environmental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Johan Høy JensenDepartment of Occupational and Environmental Medicine, Copenhagen University Hospital, Bispebjerg Hospital, Copenhagen, Denmark.
Jens Peter BondeDepartment of Occupational and Environmental Medicine, Copenhagen University Hospital, Bispebjerg Hospital, Copenhagen, Denmark.
Esben Meulengracht FlachsDepartment of Occupational and Environmental Medicine, Copenhagen University Hospital, Bispebjerg Hospital, Copenhagen, Denmark.
Janne SkakonDepartment of Psychology, University of Copenhagen, Copenhagen, Denmark.
Naja Hulvej RodSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Ichiro KawachiDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe examined exposure to different types of organisational changes at work as risk factors for subsequent prescription for psychotropic medication among employees.

methodsThe study population included 15 038 public healthcare employees nested within 1284 work units in the Capital Region of Denmark. Multilevel mixed-effects parametric survival models were developed to examine time to prescription for psychotropic medications (anxiolytics/hypnotics/sedatives/antidepressants) during the 12-month interval following exposure to organisational changes relative to no change from January to December 2013. Data on work-unit level organisational changes (including mergers, split-ups, relocation, change in management, employee lay-offs and budget cuts) were collected from work-unit managers (59% response).

resultsAny organisational change versus no change was associated with a higher risk of psychotropic prescription (HR: 1.14, 95% CI: 1.02 to 1.26), especially change in management (HR: 1.23, 95% CI: 1.07 to 1.41). Splitting the 12-month follow-up period into two halves yielded particularly high rates of psychotropic prescription in the latter half of the follow-up, for example, any change (HR: 1.25, 95% CI: 1.11 to 1.41), change in management (HR: 1.42, 95% CI: 1.22 to 1.65), mergers (HR: 1.26, 95% CI: 1.06 to 1.50), employee lay-off (HR: 1.23, 95% CI: 1.03 to 1.46) and budget cuts (HR: 1.13, 95% CI: 1.00 to 1.41). The associations did not vary by sex.

conclusionsOrganisational changes in the workplace, especially change in management, may be associated with increased risk of psychotropic prescription among employees regardless of sex.

Indexed as

EmploymentOrganizational InnovationAdultAgedDenmarkDrug PrescriptionsFemaleHealth PersonnelHumansLongitudinal StudiesMaleMiddle AgedPsychotropic DrugsPublic SectorRisk FactorsWorkplacePsychotropic Drugshealth care workersmental healthorganisation of workpsychologypublic health

Identifiers

PMID30617127
PMCPMC6581106

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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.