ArticleBMC psychiatry2023
Initial attitudes toward a drug predict medication adherence in first-episode patients with schizophrenia: a 1-year prospective study in China.
Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01057849 (Sequenced Atypical Antipsychotics Therapy With Intensive or Basic Psychosocial Intervention for First-episode Schizophrenia), which is not on this map. Cited by 3 papers.
What it found
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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.
Sequenced Atypical Antipsychotics Therapy With Intensive or Basic Psychosocial Intervention for First-episode Schizophrenia: An Effectiveness Study
Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Predictors of Beliefs About Medicines in Patients with Psychotic Disorders - A Longitudinal Observational Study in Mental Health Services.Patient preference and adherence · 2026Article
- Assessments of the Factor Structure and Psychometric Properties of the Persian Version of the 30-Item Drug Attitude Inventory in Patients with Schizophrenia.Addiction & health · 2025Article
- Evaluating Adverse Drug Reactions, Their Reporting Rates and Their Impact on Attitudes Toward Pharmacotherapy Among Female Patients with Schizophrenia: Insights and Implications from a Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundPatients' attitudes toward medication have been shown to be a predictor of nonadherence to antipsychotic treatment. However, most previous studies that explored this relationship used a cross-sectional design. It is important to explore the association of attitudes toward drugs with discontinuation at different time points during antipsychotic treatment. In this study, we investigated the association of attitudes toward drugs (measured by the Drug Attitude Inventory (DAI-10)) with adherence at seven time points (baseline, 4 weeks, 8 weeks, 12 weeks, 26 weeks, 39 weeks, and 52 weeks) during 1 year of treatment. Factors that were potentially associated with attitudes toward drugs at the time point of interest were also studied.
methodsDemographic characteristics, psychopathology, social functioning, and attitudes toward drugs (measured by the DAI-10) were collected at baseline, 4 weeks, 8 weeks, 12 weeks, 26 weeks, 39 weeks and 52 weeks. The association of attitudes toward drugs (measured by DAI-10) with adherence at the seven time points was calculated using the Mann‒Whitney U test. The optimal cutoff point for the DAI-10 was then determined using receiver operating characteristic (ROC) analysis. Cox regression analysis was conducted to further investigate the association of DAI-10 scores with discontinuation, controlling for potential confounding variables. We used multiple regression analysis to identify the factors associated with DAI-10 scores.
resultsAmong the six time points, only baseline DAI-10 total scores were significantly different between the completed and discontinued groups (p = 0.004). Female sex and a baseline DAI-10 total score greater than - 1 were found to be independent protective factors against discontinuation of antipsychotic drug treatments during the 1-year follow-up. At baseline, the severity of the disease (CGI-s) and insight regarding the disease were shown to be associated with DAI-10 total scores.
conclusionAttitudes toward antipsychotic drugs at baseline were shown to play a crucial role in predicting treatment discontinuation.
trial registrationThe data were collected from a clinical trial and the clinical trials.gov ID of the study is NCT01057849.
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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.