Evidence map›Paper›PMID 42215614›Full record

ArticleNPJ digital medicine2026

Feasibility of smartphone-based digital phenotyping to measure visual function and mental health outcomes in patients with inherited retinal diseases.

Lee Jones, Bethany Higgins, Kishan Devraj, David Crabb, Peter Thomas, Mariya Moosajee

Abstract read
In one paragraph

Article in NPJ digital medicine, 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

6 authors.

Lee Jones *Institute of Ophthalmology, University College London, London, UK. lee-jones@ucl.ac.uk.
Bethany Higgins *Institute of Ophthalmology, University College London, London, UK.
Kishan DevrajInstitute of Ophthalmology, University College London, London, UK.
David CrabbOptometry and Visual Science, City St George's, University of London, London, UK.
Peter ThomasInstitute of Ophthalmology, University College London, London, UK.
Mariya MoosajeeInstitute of Ophthalmology, University College London, London, UK.

Funding

UKRI Economic and Social Research Council ES/W006510/1Wellcome TrustWellcome Trust 205174/Z//16/Z
6 · The paper itself

Abstract

This study evaluated the feasibility of collecting passive and active digital phenotyping data using the OverSight iOS application in individuals with inherited retinal diseases (IRDs), and explored associations between digital behavioural markers, visual function and mental health. Participants with IRDs were recruited from Moorfields Eye Hospital (UK) and followed for 12 months. OverSight passively captures mobility data through HealthKit and typing-derived metrics through SensorKit. Participants completed patient-reported outcome measures (EQ-5D, NEI-VFQ-25, HADS and MRDQ) within the app. Passive data included step count, walking speed, typing speed, total words typed, autocorrections, and sentiment word categories (anxiety, down and health-related terms). Feasibility indices included enrolment, retention and completeness of passive datastreams. Twenty-five participants were enrolled, and 92% were retained at 12 months. Seventeen participants met the validity threshold for HealthKit data, and 16 also met SensorKit thresholds. Median daily step count was 6087, walking speed 1.18 m/s and typing speed 2.19 characters/s. Age was negatively correlated with typing speed and anxiety-related word use, and photopic peripheral visual difficulty was negatively correlated with anxiety- and down-related word use. Digital phenotyping using OverSight was feasible over 12 months. Exploratory analyses suggest mobility, typing behaviour and sentiment markers may represent useful adjunctive indicators of functional vision and psychological status. These data may support remote monitoring and earlier identification of clinically relevant changes, informing more timely personalised patient management in IRDs.

Identifiers

PMID42215614
PMCPMC13442882

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.