Recurrent event analysis for time to dropout of newly-enrolled MMT participants in Guangdong, China: a retrospective study using the Prentice- Williams-Peterson model.

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 dr...

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Publicado en:Addiction Research & Theory Vol. 31; no. 6; pp. 405 - 416
Autores principales: Chaofan Xu, Chaonan Fan, Xijia Tang, Chijie Wang, Zouxiang Chen, Li Ling
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Dec2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2023
      vid: 31
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.1080/16066359.2023.2189245
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        atl: Recurrent event analysis for time to dropout of newly-enrolled MMT participants in Guangdong, China: a retrospective study using the Prentice- Williams-Peterson model.
      aug:
        au:
          Chaofan Xu
          Chaonan Fan
          Xijia Tang
          Chijie Wang
          Zouxiang Chen
          Li Ling
        affil: School of Public Health, Sun Yat-Sen University, GuangZhou, China
      sug:
        subj:
          Methadone Therapeutic Use
          Persons with Substance Use Disorders Psychosocial Factors
          Student Dropouts
          Human
          Funding Source
          China
          Retrospective Design
          Cox Proportional Hazards Model
      ab: 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.
      pubtype: Academic Journal
      doctype:
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      ougenre: Article
    language: English
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