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Adherence to methadone maintenance treatment and associated factors among patients in Vietnamese mountainside areas

Overview of attention for article published in Substance Abuse Treatment, Prevention, and Policy, June 2017
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Title
Adherence to methadone maintenance treatment and associated factors among patients in Vietnamese mountainside areas
Published in
Substance Abuse Treatment, Prevention, and Policy, June 2017
DOI 10.1186/s13011-017-0115-4
Pubmed ID
Authors

Long Hoang Nguyen, Huong Thu Thi Nguyen, Huong Lan Thi Nguyen, Bach Xuan Tran, Carl A. Latkin

Abstract

Medication adherence is essential to achieve successful methadone maintenance treatment (MMT). However, treatment adherence among MMT patients in the mountainous setting in Vietnam has not been yet investigated. This study aimed to explore the medication adherence and associated factors in MMT patients in Tuyen Quang, a mountainous province. A cross-sectional survey was conducted in two MMT clinics namely Tuyen Quang and Son Duong. Convenience sampling method was used to recruit patients. Adherence to MMT was assessed by using three questions: 1) number of days that they missed doses in the last 4 days; 2) whether they missed doses during the last weekend and 3) when they missed a dose within the last 3 months. Adherence was considered optimal if patients reported 'no' to three questions. Socioeconomic status, health status (measured by EuroQol-5 Dimensions - 5 Levels - EQ5D5L and Visual analogue scale - VAS), substance use and abuse and methods to support adherence were also collected. Among 241 patients, 34.4% reported optimal adherence. Self-help was the most popular (89.2%) method used to support adherence. Risk factors of missing doses and suboptimal adherence included higher education and economic status; being a worker/farmer; longer duration of treatment; and suffering pain/discomfort and anxiety/depression. Protective factors were older age, having problems in usual activities/self-care, higher EQ-VAS and EQ-5D index; and reminded by mobile phone and family members. This study found a high sub-optimal adherence rate among MMT patients in a mountainous setting in Vietnam. Measuring adherence by using several simple items could be used periodically to monitor the treatment adherence in the clinical setting. Family and mobile phone support would have a potential role in supporting patients to adhere treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 133 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 15%
Student > Master 20 15%
Researcher 17 13%
Student > Bachelor 13 10%
Other 5 4%
Other 18 14%
Unknown 40 30%
Readers by discipline Count As %
Medicine and Dentistry 24 18%
Psychology 20 15%
Nursing and Health Professions 10 8%
Social Sciences 7 5%
Agricultural and Biological Sciences 5 4%
Other 17 13%
Unknown 50 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 October 2017.
All research outputs
#15,467,628
of 22,985,065 outputs
Outputs from Substance Abuse Treatment, Prevention, and Policy
#548
of 673 outputs
Outputs of similar age
#199,235
of 317,343 outputs
Outputs of similar age from Substance Abuse Treatment, Prevention, and Policy
#10
of 12 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 673 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,343 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.