Nomogram model for predicting medication adherence in patients with various mental disorders based on the Dryad database

A low DAI-10 score, a high BPRS score, multiple hospitalisations in 1 year and the previous use of long-acting injectable drugs were independent risk factors for medication noncompliance in patients with psychotic disorders. Our nomogram for predicting treatment adherence behaviour in psychiatric patients exhibited good sensitivity and specificity.

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Publication Details

Journal
BMJ Open
Published
2024-11-01
DOI
https://doi.org/10.1136/bmjopen-2024-087312
Citations
3
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
1.16
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article

Nomogram model for predicting medication adherence in patients with various mental disorders based on the Dryad database

Yu‐Zu Wu, X. M. Pei, Xiaowei Li, Dan Liu et al.
3 citations
BMJ Open
Schizophrenia research and treatment
1.16
article

Nomogram model for predicting medication adherence in patients with various mental disorders based on the Dryad database

Yu‐Zu Wu, X. M. Pei, Xiaowei Li, Dan Liu, Xiangdong Du
article en
3 citations

Abstract

A low DAI-10 score, a high BPRS score, multiple hospitalisations in 1 year and the previous use of long-acting injectable drugs were independent risk factors for medication noncompliance in patients with psychotic disorders. Our nomogram for predicting treatment adherence behaviour in psychiatric patients exhibited good sensitivity and specificity.

BMJ OpenVol. 14(11)
Soochow University (CN), Zhangjiagang First People's Hospital (CN), Suzhou Guangji Hospital (CN)
Good health and well-being
Openalex Percentile: Top 20%
Schizophrenia research and treatment
1.16
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