Evidence map›Paper›PMID 32851401›Full record

ArticleSchizophrenia bulletin2020

Geolocation as a Digital Phenotyping Measure of Negative Symptoms and Functional Outcome.

Ian M Raugh, Sydney H James, Cristina M Gonzalez, Hannah C Chapman, Alex S Cohen, Brian Kirkpatrick, Gregory P Strauss

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 pooled it
–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

59 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Beyond RCTs-Better Research Designs and Methods for Psychosocial Efficacy Studies in Mental Health.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Passive sensing of anhedonia and amotivation in a transdiagnostic sample.Journal of psychopathology and clinical science · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Social network reductions are associated with negative symptoms in schizophrenia.Social psychiatry and psychiatric epidemiology · 2025
    Article
  18. Article
  19. Observational
  20. 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

7 authors.

Ian M RaughDepartment of Psychology, University of Georgia, Athens, GA.
Sydney H JamesDepartment of Psychology, University of Georgia, Athens, GA.
Cristina M GonzalezDepartment of Psychology, University of Georgia, Athens, GA.
Hannah C ChapmanDepartment of Psychology, University of Georgia, Athens, GA.
Alex S CohenDepartment of Psychology, Louisiana State University, Baton Rouge, LA.
Brian KirkpatrickDepartment of Psychiatry and Behavioral Sciences, University of Nevada, Reno School of Medicine, Reno, NV.
Gregory P StraussDepartment of Psychology, University of Georgia, Athens, GA.

Funding

Modeling Anhedonia in Schizophrenia: A Stochastic Dynamical Systems ApproachR21MH112925 · NIMH · UNIVERSITY OF GEORGIA · PI STRAUSS, GREGORY P · 2017 to 2018
$417k
NIMH NIH HHS R21 MH112925
6 · The paper itself

Abstract

objectiveNegative symptoms and functional outcome have traditionally been assessed using clinical rating scales, which rely on retrospective self-reports and have several inherent limitations that impact validity. These issues may be addressed with more objective digital phenotyping measures. In the current study, we evaluated the psychometric properties of a novel "passive" digital phenotyping method: geolocation.

methodParticipants included outpatients with schizophrenia or schizoaffective disorder (SZ: n = 44), outpatients with bipolar disorder (BD: n =19), and demographically matched healthy controls (CN: n = 42) who completed 6 days of "active" digital phenotyping assessments (eg, surveys) while geolocation was recorded.

resultsResults indicated that SZ patients show less activity than CN and BD, particularly, in their travel from home. Geolocation variables demonstrated convergent validity by small to medium correlations with negative symptoms and functional outcome measured via clinical rating scales, as well as active digital phenotyping behavioral indices of avolition, asociality, and anhedonia. Discriminant validity was supported by low correlations with positive symptoms, depression, and anxiety. Reliability was supported by good internal consistency and moderate stability across days.

conclusionsThese findings provide preliminary support for the reliability and validity of geolocation as an objective measure of negative symptoms and functional outcome. Geolocation offers enhanced precision and the ability to take a "big data" approach that facilitates sophisticated computational models. Near-continuous recordings and large numbers of samples may make geolocation a novel outcome measure for clinical trials due to enhanced power to detect treatment effects.

Indexed as

Functional StatusGeographic MappingAdultAnhedoniaBipolar DisorderEcological Momentary AssessmentFemaleHumansMaleMiddle AgedPsychometricsPsychotic DisordersReproducibility of ResultsSchizophreniaSocial BehaviorVolitionambulatoryasocialityavolitionecological momentary assessmentmobile health (mHealth)psychosis

Identifiers

PMID32851401
PMCPMC7751192

What OpenQuestion holds

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Registered trials

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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.