Recurrent event analysis for time to dropout of newly-enrolled MMT participants in Guangdong, China: a retrospective study using the Prentice- Williams-Peterson model.
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| Title: | Recurrent event analysis for time to dropout of newly-enrolled MMT participants in Guangdong, China: a retrospective study using the Prentice- Williams-Peterson model. |
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| Authors: | Chaofan Xu, Chaonan Fan, Xijia Tang, Chijie Wang, Zouxiang Chen, Li Ling |
| Source: | Addiction Research & Theory. Dec2023, Vol. 31 Issue 6, p405-415. 11p. |
| Subjects: | Methadone treatment programs, Psychology of drug abusers, Retrospective studies, Research funding, Proportional hazards models |
| Geographic Terms: | China |
| Abstract: | Background: Recurrent dropout often occurs among participants receiving methadone maintenance treatment (MMT), which negatively affects treatment effectiveness. However, few researchers focused on this phenomenon including those in China. This study examined systematically factors associated with dropout based on recurrent events analysis among Chinese MMT participants. Methods: This retrospective study involved participants who firstly enrolled in MMT program between 2006 and 2017 of nine clinics in the Guangdong Province. The factors influencing recurrent dropout were identified using Prentice-Williams-Peterson model with total time (PWP-TT), then a comparison with Cox proportional hazards model was conducted. Results: Among a total of 1,319 participants, 1,922 treatment episodes were identified. There were 366 (27.7%) participants remained in MMT at one year follow-up. There was a progressive shortening of the treatment episode duration among participants with multiple treatment episodes. Protective factors included higher average age (50 years) before attending MMT, the higher last methadone dosage before each dropout (50ml) and higher average dosage (-60ml) in each episode, while being divorced, arrested in the past 3months, having contact with drug-using friends more than once per day, and being positive for the first morphine urine test were risk factors. Additionally, higher average dosage (60ml) had constant protective effects on subsequential treatment episodes. Conclusions: The risk of dropout increased as participants experienced multiple treatment episodes in MMT. The influencing factors for recurrent dropout were variable across all treatment episodes. Greater efforts are needed to provide sufficient methadone dosage for the participants to decrease dropout rate. [ABSTRACT FROM AUTHOR] |
| Copyright of Addiction Research & Theory is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 174187356 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Recurrent event analysis for time to dropout of newly-enrolled MMT participants in Guangdong, China: a retrospective study using the Prentice- Williams-Peterson model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chaofan+Xu%22">Chaofan Xu</searchLink><br /><searchLink fieldCode="AR" term="%22Chaonan+Fan%22">Chaonan Fan</searchLink><br /><searchLink fieldCode="AR" term="%22Xijia+Tang%22">Xijia Tang</searchLink><br /><searchLink fieldCode="AR" term="%22Chijie+Wang%22">Chijie Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Zouxiang+Chen%22">Zouxiang Chen</searchLink><br /><searchLink fieldCode="AR" term="%22Li+Ling%22">Li Ling</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Addiction+Research+%26+Theory%22">Addiction Research & Theory</searchLink>. Dec2023, Vol. 31 Issue 6, p405-415. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Methadone+treatment+programs%22">Methadone treatment programs</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+of+drug+abusers%22">Psychology of drug abusers</searchLink><br /><searchLink fieldCode="DE" term="%22Retrospective+studies%22">Retrospective studies</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Proportional+hazards+models%22">Proportional hazards models</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Recurrent dropout often occurs among participants receiving methadone maintenance treatment (MMT), which negatively affects treatment effectiveness. However, few researchers focused on this phenomenon including those in China. This study examined systematically factors associated with dropout based on recurrent events analysis among Chinese MMT participants. Methods: This retrospective study involved participants who firstly enrolled in MMT program between 2006 and 2017 of nine clinics in the Guangdong Province. The factors influencing recurrent dropout were identified using Prentice-Williams-Peterson model with total time (PWP-TT), then a comparison with Cox proportional hazards model was conducted. Results: Among a total of 1,319 participants, 1,922 treatment episodes were identified. There were 366 (27.7%) participants remained in MMT at one year follow-up. There was a progressive shortening of the treatment episode duration among participants with multiple treatment episodes. Protective factors included higher average age (50 years) before attending MMT, the higher last methadone dosage before each dropout (50ml) and higher average dosage (-60ml) in each episode, while being divorced, arrested in the past 3months, having contact with drug-using friends more than once per day, and being positive for the first morphine urine test were risk factors. Additionally, higher average dosage (60ml) had constant protective effects on subsequential treatment episodes. Conclusions: The risk of dropout increased as participants experienced multiple treatment episodes in MMT. The influencing factors for recurrent dropout were variable across all treatment episodes. Greater efforts are needed to provide sufficient methadone dosage for the participants to decrease dropout rate. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Addiction Research & Theory is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/16066359.2023.2189245 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 405 Subjects: – SubjectFull: Methadone treatment programs Type: general – SubjectFull: Psychology of drug abusers Type: general – SubjectFull: Retrospective studies Type: general – SubjectFull: Research funding Type: general – SubjectFull: Proportional hazards models Type: general – SubjectFull: China Type: general Titles: – TitleFull: Recurrent event analysis for time to dropout of newly-enrolled MMT participants in Guangdong, China: a retrospective study using the Prentice- Williams-Peterson model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chaofan Xu – PersonEntity: Name: NameFull: Chaonan Fan – PersonEntity: Name: NameFull: Xijia Tang – PersonEntity: Name: NameFull: Chijie Wang – PersonEntity: Name: NameFull: Zouxiang Chen – PersonEntity: Name: NameFull: Li Ling IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 16066359 Numbering: – Type: volume Value: 31 – Type: issue Value: 6 Titles: – TitleFull: Addiction Research & Theory Type: main |
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