ArticleBMC psychiatry2023
Community-based rehabilitation interventions on quality of care for people with schizophrenia in China (CRISC): study protocol for a cluster-randomized controlled trial.
Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Cost-Effectiveness of Community-Based Rehabilitation for People With Schizophrenia: A Secondary Analysis of a Cluster Randomized Trial.JAMA health forum · 2026Trial
- Community-based service engagement intervention for young adults with schizophrenia in China: study protocol for a randomized controlled trial.European archives of psychiatry and clinical neuroscience · 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
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInternational consensus shows that community-based rehabilitation (CBR) service is an effective way to improve functioning and negative symptoms and address the treatment gap for schizophrenia. Rigorous trials are needed in China to demonstrate effective and scalable CBR interventions to significantly improve outcomes for people with schizophrenia and to provide evidence of the economic benefits. The objectives of this trial are to examine the effectiveness of CBR as an adjunct to test the usual facility-cased care (FBC) in comparison to FBC alone in improving a range of outcomes in people with schizophrenia and their caregivers.
methodsThis trial is a cluster randomized controlled trial design in China. The trial will be conducted at three districts of Weifang city, Shandong province. Eligible participants will be identified from the psychiatric management system where community-dwelling patients with schizophrenia have been registered. Participants will be recruited after providing informed consent. 18 sub-districts will be randomly allocated in a 1:1 ratio to facility-based care (FBC) plus CBR (intervention arm) or FBC alone (control arm). The structured CBR intervention will be delivered by trained psychiatric nurses or community health workers. We aim to recruit 264 participants. The primary outcomes include symptoms of schizophrenia, personal and social function, quality of life, family burden of caring, etc. The study will be conducted according to good ethical practice, data analysis and reporting guidelines. DISCUSSION: If the hypothesized clinical benefit and cost-effectiveness of CBR intervention are confirmed, this trial will provide significant implications for policy makers and practitioners to scale up rehabilitation services, as well as for people with schizophrenia and their family to promote recovery and social inclusion, and to alleviate the burden of care.
trial registrationChinese Clinical Trial Registry (ChiCTR2200066945). Registered December 22, 2022.
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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.