Evidence map›Paper›PMID 40833124›Full record

ArticleTrauma, violence & abuse2026

Wellbeing Among Police Personnel Investigating Online Child Sexual Abuse: A Scoping Review.

Robert Lundmark, Alva Lindholm, Ola Lindberg, Oscar Rantatalo

Abstract readScoping Review
In one paragraph

Article in Trauma, violence & abuse, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Robert LundmarkDepartment of Psychology, Umeå University, Sweden.ORCID 0000-0001-9484-6047
Alva LindholmDepartment of Learning, Umeå University, Sweden.
Ola LindbergDepartment of Learning, Umeå University, Sweden.
Oscar RantataloDepartment of Learning, Umeå University, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online child sexual abuse (CSA) crimes have increased significantly in recent years, reflecting broader access to the internet and the global proliferation of CSA content. In response, national police forces have established specialized investigative teams. Notably, repeated exposure to CSA material has been identified as a significant stressor for police personnel, potentially increasing the risk of secondary traumatic stress and burnout. Therefore, understanding and addressing the impact of continuous CSA exposure on personnel's wellbeing is essential within this area of digital policing. This scoping review aims to synthesize and report the existing empirical research on the wellbeing of police personnel involved in online CSA investigations. Following established guidelines, we searched four electronic databases-Scopus, Web of Science (Clarivate), PsycINFO, and SocIndex-for articles published between 2000 and 2024. We also conducted reference mining of the included studies. In total, 33 articles met the inclusion criteria: empirical studies published in English, in peer-reviewed journals, and focused on the wellbeing of personnel investigating online CSA. Findings reveal substantial variation in reported wellbeing. Individual coping strategies, as well as organizational resources and support, play a critical role in how personnel manage the demands of this work. Based on these insights, we recommend that online CSA police units implement clear and proactive strategies to safeguard personnel's wellbeing.

Indexed as

Child Abuse, SexualInternetPoliceAdaptation, PsychologicalChildDigital MediaHumanschild sexual abusecopingdigital policingsecondary traumastress

Identifiers

PMID40833124
PMCPMC13578671

What OpenQuestion holds

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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.