Evidence map›Paper›PMID 41360926›Full record

ReviewNPP - digital psychiatry and neuroscience2024

Hybrid care in mental health: a framework for understanding care, research, and future opportunities.

Kelly Chen, Jack J Huang, John Torous

Abstract readReview
In one paragraph

Review in NPP - digital psychiatry and neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Kelly Chen *Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Jack J Huang *Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8817-7905
John TorousBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. jtorous@bidmc.harvard.edu.ORCID http://orcid.org/0000-0002-5362-7937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technology is playing an increasing role in healthcare, especially in mental health. Traditional mental healthcare, whether in-person or via telehealth, cannot by itself address the massive need for services. Standalone technology such as smartphone apps, while easily accessible, have seen limited engagement and efficacy on their own. Hybrid care - the combination of synchronous in-person or telehealth appointments with the use of asynchronous digital tools such as smartphone applications, wearable devices, or digital therapeutics - has the potential to offer the best of both worlds, providing both increased access and higher engagement and efficacy. In this paper, we present a framework highlighting the key components of hybrid care models: digital intervention, human support, and target population. This framework can be used to evaluate existing models in the literature and in practice, identify areas of need and opportunity, and serve as a blueprint for key elements to consider when designing new hybrid care models.

Identifiers

PMID41360926
PMCPMC12624923

What OpenQuestion holds

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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.