Evidence map›Paper›PMID 41737958›Full record

ReviewFrontiers in psychiatry2026

Advances in implementation strategies for treatment adherence in schizophrenia: a narrative review.

Yan Shen, Xiaoli Wu

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Article
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

2 authors.

Yan ShenDepartment of Psychiatry, Lanxi Fifth Hospital, Lanxi, Zhejiang, China.
Xiaoli WuDepartment of Psychiatry, Lanxi Fifth Hospital, Lanxi, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is a chronic, relapsing mental illness where poor treatment adherence is a core challenge, significantly contributing to relapse and poor prognosis. Despite the efficacy of current pharmacotherapy, non-adherence rates are high. This review synthesizes the latest research on intervention strategies for improving treatment adherence in schizophrenia, exploring the effectiveness, limitations, and future directions of various approaches. We delve into behavioral and psychological interventions (including patient education, CBT, and motivational interviewing), pharmacological strategies (such as long-acting injectables), digital health technologies (like mobile apps, telemedicine, and wearable devices), and comprehensive, multidisciplinary care models. While each strategy demonstrates potential, they face challenges including a lack of standardized assessment tools, resource limitations, and the need for long-term efficacy data. Current research indicates a shift towards integrated and personalized interventions. We conclude that future efforts should focus on combining these diverse strategies into a holistic, patient-centered model, leveraging emerging technologies like AI and big data to provide more effective and sustainable support.

Indexed as

digital healthinterventionlong-acting injectablesmedication adherenceschizophreniatreatment adherence

Identifiers

PMID41737958
PMCPMC12926354

What OpenQuestion holds

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LicenceCC BY
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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.