Evidence map›Paper›PMID 33761921›Full record

ArticleBMC psychiatry2021

The spatiotemporal movement of patients in and out of a psychiatric hospital: an observational GPS study.

Andrew T Gloster, Andrea H Meyer, Jens Klotsche, Jeanette Villanueva, Victoria J Block, Charles Benoy, Marcia T B Rinner, Marc Walter, Undine E Lang, Maria Karekla

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

10 authors at 3 institutions in 3 countries.

Andrew T GlosterUniversity of Basel, Department of Psychology, Division of Clinical Psychology & Intervention Science, Missionsstrasse 62A, CH-4055, Basel, Switzerland. andrew.gloster@unibas.ch.
Andrea H MeyerUniversity of Basel, Department of Psychology, Division of Clinical Psychology & Epidemiology, Basel, Switzerland.
Jens KlotscheGerman Rheumatism Research Center Berlin, Epidemiology unit and Charité Universitaetsmedizin Berlin, Institute for Social Medicine, Epidemiology and Health Economics, Berlin, Germany.
Jeanette VillanuevaUniversity of Basel, Department of Psychology, Division of Clinical Psychology & Intervention Science, Missionsstrasse 62A, CH-4055, Basel, Switzerland.
Victoria J BlockUniversity of Basel, Department of Psychology, Division of Clinical Psychology & Intervention Science, Missionsstrasse 62A, CH-4055, Basel, Switzerland.
Charles BenoyUniversity Psychiatric Clinics (UPK), University of Basel, Basel, Switzerland.
Marcia T B RinnerUniversity of Basel, Department of Psychology, Division of Clinical Psychology & Intervention Science, Missionsstrasse 62A, CH-4055, Basel, Switzerland.
Marc WalterUniversity Psychiatric Clinics (UPK), University of Basel, Basel, Switzerland.
Undine E LangUniversity Psychiatric Clinics (UPK), University of Basel, Basel, Switzerland.
Maria KareklaUniversity of Cyprus, Department of Psychology, Nicosia, Cyprus.
University of Basel · CHCharité - Universitätsmedizin Berlin · DEUniversity of Cyprus · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMovement is a basic component of health. Little is known about the spatiotemporal movement of patients with mental disorders. The aim of this study was to determine how spatiotemporal movement of patients related to their symptoms and wellbeing.

methodA total of 106 patients (inpatients (n = 69) and outpatients (n = 37)) treated for a wide range of mental disorders (transdiagnostic sample) carried a GPS-enabled smartphone for one week at the beginning of treatment. Algorithms were applied to establish spatiotemporal clusters and subsequently related to known characteristics of these groups (i.e., at the hospital, at home). Symptomatology, Wellbeing, and Psychological flexibility were also assessed.

resultsSpatiotemporal patterns of inpatients and outpatients showed differences consistent with predictions (e.g., outpatients showed higher active areas). These patterns were largely unassociated with symptoms (except for agoraphobic symptoms). Greater movement and variety of movement were more predictive of wellbeing, however, in both inpatients and outpatients.

conclusionMeasuring spatiotemporal patterns is feasible, predictive of wellbeing, and may be a marker of patient functioning. Ethical issues of collecting GPS data are discussed.

Indexed as

Hospitals, PsychiatricMental DisordersHumansInpatientsMovementOutpatientsGlobal positioning system (GPS)Spatiotemporal movementTransdiagnosticWellbeing

Identifiers

PMID33761921
PMCPMC7992323
OpenAlexW3138093626

What OpenQuestion holds

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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.