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Substance abuse treatment engagement, completion and short-term outcomes in the Western Cape province, South Africa: Findings from the Service Quality Measures Initiative

Overview of attention for article published in Drug & Alcohol Dependence, February 2018
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Title
Substance abuse treatment engagement, completion and short-term outcomes in the Western Cape province, South Africa: Findings from the Service Quality Measures Initiative
Published in
Drug & Alcohol Dependence, February 2018
DOI 10.1016/j.drugalcdep.2017.12.033
Pubmed ID
Authors

Bronwyn Myers, Petal Petersen Williams, Rajen Govender, Ron Manderscheid, J Randy Koch

Abstract

Optimizing the effectiveness of substance use disorder (SUD) treatment is critical in low-and middle-income countries (LMICs) with limited opportunities for SUD treatment. This is the first study to identify targets for interventions to improve the quality of SUD treatment in a LMIC. We explored correlates of three indicators of treatment quality (treatment engagement, completion and abstinence at treatment exit) using data from a SUD performance measurement system implemented in the Western Cape Province of South Africa. The sample included data from 1094 adult treatment episodes representing 53% of the treatment episodes in 2016. Using multivariate logistic regression analyses, we modeled socio-demographic, substance use and program correlates of treatment engagement, completion, and abstinence at treatment exit. Overall, 59% of patients completed treatment (48% of patients from outpatient services). Treatment completion was associated with greater likelihood of abstinence at treatment exit. Patients were more likely to complete treatment if they engaged in treatment, were older, and had more severe drug problems (characterized by daily drug use and heroin problems) and attended programs of shorter duration. Residential treatment was associated with greater likelihood of treatment engagement, completion, and abstinence at treatment exit. Improving rates of outpatient treatment completion will enhance the effectiveness of South Africa's SUD treatment system. Interventions that promote engagement in treatment, particularly among younger patients; reduce program length through referral to step-down continuing care; and ensure better matching of drug problem to treatment level and type could improve rates of treatment completion.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 16%
Student > Ph. D. Student 9 10%
Researcher 8 9%
Student > Bachelor 8 9%
Student > Postgraduate 6 7%
Other 15 17%
Unknown 29 33%
Readers by discipline Count As %
Medicine and Dentistry 14 16%
Psychology 11 12%
Nursing and Health Professions 9 10%
Social Sciences 9 10%
Business, Management and Accounting 4 4%
Other 13 15%
Unknown 29 33%
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 03 May 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Drug & Alcohol Dependence
#5,369
of 6,130 outputs
Outputs of similar age
#269,019
of 344,362 outputs
Outputs of similar age from Drug & Alcohol Dependence
#97
of 117 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,130 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one is in the 7th percentile – i.e., 7% 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 344,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.