ArticleEarly intervention in psychiatry2026
Preliminary Findings From an Augmented Reality (AR) App Delivering Recovery-Oriented Cognitive Therapy for Negative Symptoms in Schizophrenia.
Article in Early intervention in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07593456 (Investigating a Gamified NegatIve-symptom Therapeutic Based on Evidence-based Cognitive Therapy), which is not on this map. Cited by 2 papers.
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.
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.
Investigating a Gamified NegatIve-symptom Therapeutic Based on Evidence-based Cognitive Therapy (IGNITE)
Who cites it
2 citing papers in PubMed.
- AI-enabled passive digital phenotyping of experiential negative symptoms in schizophrenia-spectrum disorders: a narrative review on the path from sensing to clinical endpoints.Frontiers in psychiatry · 2026Review
- Preliminary Findings From an Augmented Reality (AR) App Delivering Recovery-Oriented Cognitive Therapy for Negative Symptoms in Schizophrenia.Early intervention in psychiatry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNST-SPARK is a novel digital therapeutic targeting negative symptoms in schizophrenia spectrum disorders (SSD). It is a smartphone application delivering recovery-oriented cognitive therapy (CT-R), via gamified augmented reality (AR) experiences. The primary objective was to determine the acceptability and feasibility of a single-session prototype. Secondary objectives were to generate descriptive findings for changes in defeatist beliefs, self-esteem and attitudes toward goal-oriented activities.
methodsTwenty participants with schizophrenia or schizoaffective disorder enrolled. Participants completed self-reports on the acceptability and feasibility of NST-SPARK v.1.5 and provided open-ended feedback. Self-report scales on defeatist beliefs, self-esteem and attitudes toward goal-oriented activities were completed before and after participants were introduced to NST-SPARK, and at 1-week follow-up.
resultsParticipants found NST-SPARK to be feasible and acceptable, with an average response of 'Agree', indicating that the intervention met with the participants' approval and seemed implementable. Almost all participants (19 of 20) used the app on their own prior to the 1-week follow up despite not being incentivised. We also observed changes in defeatist beliefs, self-esteem and attitudes toward goal attainment consistent with intended improvements in these targeted areas. Participants made substantive progress toward identified goals in 90% of cases. The most common positive feedback was appreciation that the app got them going, and the most common negative feedback pointed out technical aspects that did not function properly.
conclusionsThis preliminary, single-arm, unblinded study of a single-module prototype for NST-SPARK found that the approach is generally acceptable and feasible for people with SSD and negative symptoms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.