Evidence map›Paper›PMID 40662465›Full record

ReviewJournal of psychiatric and mental health nursing2025

The Impact of Coercive Measures on the Therapeutic Relationship Between Patients and Nurses in the Acute Psychiatric Care. An Integrative Review.

Florian Wostry, Sabine Hahn, Berta Schrems

Abstract readReview
In one paragraph

Review in Journal of psychiatric and mental health nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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.

Florian WostryUniversity of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-1853-1865
Sabine HahnSchool of Nursing, Bern University of Applied Sciences, Switzerland.ORCID https://orcid.org/0000-0002-2697-2014
Berta SchremsUniversity of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-2036-7091

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe reduction of coercion requires a stable therapeutic relationship. It is generally assumed that coercive measures have a negative effect on the therapeutic relationship, but little is known about the specific impact. QUESTION: What is the impact of coercive measures in acute psychiatric care on the therapeutic relationship between nurses and patients?

methodAn integrative review and a thematic analysis were undertaken.

resultsTheme 1, labelled 'Destructive effects', encompasses three subthemes: 'Loss of trust', 'Power imbalance' and 'Engagement reduction' and highlights the negative impact on the therapeutic relationship. Theme 2, entitled 'Nursing dilemma', with the subtheme 'Dehumanisation' discusses the inherent conflicts faced by mental health nurses. Theme 3, 'Reinforcement', suggests potential enhancements in therapeutic relationships. DISCUSSION: Key characteristics of the therapeutic relationship, such as providing support, meeting at eye level, empathy and trust, can suffer damage from coercive measures and diminish a fundamental aspect of psychiatric nursing. Moreover, the absence of a therapeutic relationship can foster behaviours that prompt additional coercive measures, creating a negative cycle with adverse effects for all involved. IMPLICATIONS FOR PRACTICE: Nurses need to be aware of the effects of coercive measures on therapeutic relationships and use coercive measures as a last resort.

Indexed as

CoercionMental DisordersNurse-Patient RelationsPsychiatric NursingHumanscoerciondehumanisationnurse patient relationshippsychiatric nursingpsychiatry

Identifiers

PMID40662465
PMCPMC12418142

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.