Evidence map›Paper›PMID 39242869›Full record

ArticleCommunications psychology2023

Using smartphones to optimise and scale-up the assessment of model-based planning.

Kelly R Donegan, Vanessa M Brown, Rebecca B Price, Eoghan Gallagher, Andrew Pringle, Anna K Hanlon, Claire M Gillan

Erratum issuedAbstract read
In one paragraph

Article in Communications psychology, 2023. 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.

  1. Trial
  2. Article
  3. Article
  4. Social disadvantage outweighs knowledge in dementia risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  5. Article
  6. Modifiable dementia risk factors associated with objective and subjective cognition.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kelly R DoneganSchool of Psychology, Trinity College Dublin, Dublin, Ireland.ORCID http://orcid.org/0000-0001-5948-0051
Vanessa M BrownDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, USA.
Rebecca B PriceDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, USA.
Eoghan GallagherSchool of Psychology, Trinity College Dublin, Dublin, Ireland.
Andrew PringleSchool of Psychology, Trinity College Dublin, Dublin, Ireland.
Anna K HanlonSchool of Psychology, Trinity College Dublin, Dublin, Ireland.
Claire M GillanSchool of Psychology, Trinity College Dublin, Dublin, Ireland. gillancl@tcd.ie.ORCID http://orcid.org/0000-0001-9065-403X

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) ERC-H2020-HABIT
6 · The paper itself

Abstract

Model-based planning is thought to protect against over-reliance on habits. It is reduced in individuals high in compulsivity, but effect sizes are small and may depend on subtle features of the tasks used to assess it. We developed a diamond-shooting smartphone game that measures model-based planning in an at-home setting, and varied the game's structure within and across participants to assess how it affects measurement reliability and validity with respect to previously established correlates of model-based planning, with a focus on compulsivity. Increasing the number of trials used to estimate model-based planning did remarkably little to affect the association with compulsivity, because the greatest signal was in earlier trials. Associations with compulsivity were higher when transition ratios were less deterministic and depending on the reward drift utilised. These findings suggest that model-based planning can be measured at home via an app, can be estimated in relatively few trials using certain design features, and can be optimised for sensitivity to compulsive symptoms in the general population.

Identifiers

PMID39242869
PMCPMC11332031

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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.