Evidence map›Paper›PMID 42362677›Full record

ArticleNPJ digital medicine2026

Evaluating the shift in psychiatric care: Associations between remote consultation use and clinical outcomes in a large longitudinal cohort.

Liliana Hidalgo-Padilla, Robert Stewart, Matthew Broadbent, Mariana Pinto da Costa

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
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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

4 authors.

Liliana Hidalgo-PadillaInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. liliana.hidalgo_padilla@kcl.ac.uk.
Robert StewartInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Matthew BroadbentSouth London and Maudsley NHS Foundation Trust, London, UK.
Mariana Pinto da CostaInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.

Funding

Economic and Social Research Council LISS-DTP ES/P000703/1Medical Research Council MR/W014386UK Prevention Research Partnership MR-VO49879/1
6 · The paper itself

Abstract

The shift to remote consultations represents a profound change in mental health service delivery, comparable to the historic closure of long-stay institutions, yet it occurred without formal evaluation. We aimed to identify diagnostic groups for whom remote care is safe and those for whom it may carry risk. We conducted a retrospective study assembling five annual cohorts using electronic health records from South London, including adults with psychiatric diagnoses (ICD-10 "F" codes) receiving community/outpatient care between March 2019 and March 2024. We examined associations between 10% increments in the proportion of remote consultation use and five outcomes: psychiatric hospitalisation, psychiatric assessments in emergency care, home treatment team contacts, and clinical mentions of improvement or deterioration. Logistic regression models were adjusted for demographic, social, and clinical factors, and stratified by diagnosis. Based on 106,153 observations across five cohort-years, higher use of remote consultations was not associated with worse outcomes for most psychiatric diagnoses, suggesting that remote care is non-inferior to in-person care. However, greater remote care use in patients with schizophrenia-related disorders (F20-F29) was associated with increased odds of hospitalisation (OR: 1.06 [1.03-1.09]), and emergency assessment (OR: 1.04 [1.01-1.07]). While remote mental health consultations are generally safe, but clinical caution is warranted for schizophrenia-related disorders.

Identifiers

PMID42362677
PMCPMC13487146

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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.