OBJECTIVES: To identify medication adherence and its influencing factors among patients of 14 methadone maintenance treatment (MMT) clinics in Xi'an, China. METHODS: Data were obtained from the National AIDS Information System-Community Methadone Maintenance Treatment. All patients registered in the system were not permitted to take methadone at home without professionals' supervision. Medication adherence was assessed using categorical (ie, dropout or retained) and continuous (ie, treatment time, methadone use time, and percentage of methadone use days) variables. Percentages of methadone use days of >90%, 50% to 90%, or <50% indicated good, moderate, and poor adherence, respectively. Multivariate Cox stepwise regression analysis was used to identify the influencing factors. RESULTS: Of the 10,398 patients, 52.2% had dropped out of MMT by December 31, 2013, whereas only 11.8% regularly visited the clinic for daily methadone (ie, >90% methadone use days) during a certain period. Protective factors were older age (>30 years); female sex; having no contact with peer drug users over the past month; no needle-sharing experience; a negative initial morphine urine test; and a higher average daily methadone dose (>20 mg) (P < 0.05). Risk factors were answering "others" for marital status; being employed; having a lack of stable income; not living with family; answering "others" for drug use type; frequently engaging in unauthorized drug use during MMT; no readmission; long travel times to the MMT clinic (>30 minutes); having no convenient MMT service time; and being dissatisfied with MMT service (P < 0.05). CONCLUSIONS: Based on our findings, multimodal intervention and management programs can be developed to improve poor medication adherence among the MMT patient population.
OBJECTIVES: To identify medication adherence and its influencing factors among patients of 14 methadone maintenance treatment (MMT) clinics in Xi'an, China. METHODS: Data were obtained from the National AIDS Information System-Community Methadone Maintenance Treatment. All patients registered in the system were not permitted to take methadone at home without professionals' supervision. Medication adherence was assessed using categorical (ie, dropout or retained) and continuous (ie, treatment time, methadone use time, and percentage of methadone use days) variables. Percentages of methadone use days of >90%, 50% to 90%, or <50% indicated good, moderate, and poor adherence, respectively. Multivariate Cox stepwise regression analysis was used to identify the influencing factors. RESULTS: Of the 10,398 patients, 52.2% had dropped out of MMT by December 31, 2013, whereas only 11.8% regularly visited the clinic for daily methadone (ie, >90% methadone use days) during a certain period. Protective factors were older age (>30 years); female sex; having no contact with peer drug users over the past month; no needle-sharing experience; a negative initial morphine urine test; and a higher average daily methadone dose (>20 mg) (P < 0.05). Risk factors were answering "others" for marital status; being employed; having a lack of stable income; not living with family; answering "others" for drug use type; frequently engaging in unauthorized drug use during MMT; no readmission; long travel times to the MMT clinic (>30 minutes); having no convenient MMT service time; and being dissatisfied with MMT service (P < 0.05). CONCLUSIONS: Based on our findings, multimodal intervention and management programs can be developed to improve poor medication adherence among the MMTpatient population.
Authors: Dana Button; Ryan Cook; Caroline King; Tong Thi Khuyen; Lynn Kunkel; Gavin Bart; Dinh Thanh Thuy; Diep Bich Nguyen; Christopher K Blazes; Le Minh Giang; P Todd Korthuis Journal: Int J Drug Policy Date: 2021-11-09