Evidence map›Paper›PMID 39614242›Full record

SynthesisBMC medicine2024

The use and impact of surveillance-based technology initiatives in inpatient and acute mental health settings: a systematic review.

Jessica L Griffiths, Katherine R K Saunders, Una Foye, Anna Greenburgh, Ciara Regan, Ruth E Cooper, Rose Powell, Ellen Thomas, Geoff Brennan, Antonio Rojas-García and 3 more

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Jessica L Griffiths *Department of Health Service and Population Research (HSPR), NIHR Policy Research Unit in Mental Health (MHPRU), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. jessica.griffiths@kcl.ac.uk.
Katherine R K Saunders *Department of Health Service and Population Research (HSPR), NIHR Policy Research Unit in Mental Health (MHPRU), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Una FoyeDepartment of Health Service and Population Research (HSPR), NIHR Policy Research Unit in Mental Health (MHPRU), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Anna GreenburghNIHR Policy Research Unit in Mental Health (MHPRU), Division of Psychiatry, University College London, London, UK.
Ciara ReganDepartment of Health Service and Population Research (HSPR), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Ruth E CooperDepartment of Health Service and Population Research (HSPR), NIHR Policy Research Unit in Mental Health (MHPRU), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Rose PowellSchool of Geography, Politics, and Sociology, Newcastle University, Newcastle Upon Tyne, UK.
Ellen Thomas, London, UK.
Geoff BrennanDepartment of Health Service and Population Research (HSPR), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Antonio Rojas-GarcíaNIHR Policy Research Unit in Mental Health (MHPRU), Division of Psychiatry, University College London, London, UK.
Brynmor Lloyd-EvansNIHR Policy Research Unit in Mental Health (MHPRU), Division of Psychiatry, University College London, London, UK.
Sonia JohnsonNIHR Policy Research Unit in Mental Health (MHPRU), Division of Psychiatry, University College London, London, UK.
Alan SimpsonDepartment of Health Service and Population Research (HSPR), NIHR Policy Research Unit in Mental Health (MHPRU), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of surveillance technologies is becoming increasingly common in inpatient mental health settings, commonly justified as efforts to improve safety and cost-effectiveness. However, their use has been questioned in light of limited research conducted and the sensitivities, ethical concerns and potential harms of surveillance. This systematic review aims to (1) map how surveillance technologies have been employed in inpatient mental health settings, (2) explore how they are experienced by patients, staff and carers and (3) examine evidence regarding their impact.

methodsWe searched five academic databases (Embase, MEDLINE, PsycInfo, PubMed and Scopus), one grey literature database (HMIC) and two pre-print servers (medRxiv and PsyArXiv) to identify relevant papers published up to 19/09/2024. We also conducted backwards and forwards citation tracking and contacted experts to identify relevant literature. The Mixed Methods Appraisal Tool assessed quality. Data were synthesised narratively.

resultsThirty-two studies met the inclusion criteria. They reported on CCTV/video monitoring (n = 13), Vision-Based Patient Monitoring and Management (n = 9), body-worn cameras (n = 6), GPS electronic monitoring (n = 2) and wearable sensors (n = 2). Sixteen papers (50.0%) were low quality, five (15.6%) medium quality and eleven (34.4%) high quality. Nine studies (28.1%) declared a conflict of interest. Qualitative findings indicate patient, staff and carer views of surveillance technologies are mixed and complex. Quantitative findings regarding the impact of surveillance on outcomes such as self-harm, violence, aggression, care quality and cost-effectiveness were inconsistent or weak.

conclusionsThere is currently insufficient evidence to suggest that surveillance technologies in inpatient mental health settings are achieving their intended outcomes, such as improving safety and reducing costs. The studies were generally of low methodological quality, lacked lived experience involvement, and a substantial proportion (28.1%) declared conflicts of interest. Further independent coproduced research is needed to more comprehensively evaluate the impact of surveillance technologies in inpatient settings. If they are to be implemented, all key stakeholders should be engaged in the development of policies, procedures and best practice guidance to regulate their use, prioritising patients' perspectives.

Indexed as

InpatientsHumansMental DisordersBody-worn camerasCCTVInpatientMental healthSafety managementSecuritySurveillance technologyVideo monitoringVision-based patient monitoring and management

Identifiers

PMID39614242
PMCPMC11605989

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.