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Systemic and individual factors in the buprenorphine treatment-seeking process: a qualitative study

Overview of attention for article published in Substance Abuse Treatment, Prevention, and Policy, January 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

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7 tweeters

Citations

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24 Dimensions

Readers on

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62 Mendeley
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Title
Systemic and individual factors in the buprenorphine treatment-seeking process: a qualitative study
Published in
Substance Abuse Treatment, Prevention, and Policy, January 2017
DOI 10.1186/s13011-016-0085-y
Pubmed ID
Authors

Valerie M. Hewell, Angel R. Vasquez, Inna D. Rivkin

Abstract

Opioid use is a significant problem in Alaska. Medication-assisted treatment for opioid use, including buprenorphine, reduces withdrawal symptoms and the harm associated with opioid abuse. Understanding consumers' treatment-seeking process is important for addressing barriers to treatment, facilitating effective service utilization, and informing policy. To understand treatment-seeking behavior, we examined the attitudes, perceptions, and knowledge of those who would benefit from the medication-assisted treatment (MAT) buprenorphine. Qualitative data from 2 focus groups (each including 4 participants) and 3 in-depth interviews with people who have used or considered using buprenorphine in treatment for an opioid use disorder were analyzed using grounded theory and directed content analysis approaches. Key findings suggest that individual (withdrawal process, individual motivation) and systemic (sociocultural, political, societal values) factors frame the treatment seeking process. Participants' progress on the treatment-seeking road was affected by models of addiction and MAT, which related to facilitators and barriers encountered in seeking treatment (e.g. support, resources, treatment structure). These factors shaped the longer-term road to recovery, which was seen as on ongoing process. The findings of this study suggest it is crucial for interventionists to take a contextual approach that considers individual and systemic factors involved in opioid addiction, treatment, and recovery. This study highlights ways policy makers and treatment providers can address the barriers consumers face in their treatment-seeking process in order to increase treatment access.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 26%
Student > Ph. D. Student 11 18%
Researcher 7 11%
Student > Doctoral Student 6 10%
Student > Bachelor 4 6%
Other 4 6%
Unknown 14 23%
Readers by discipline Count As %
Medicine and Dentistry 11 18%
Social Sciences 11 18%
Psychology 7 11%
Nursing and Health Professions 6 10%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 7 11%
Unknown 17 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 February 2017.
All research outputs
#11,942,847
of 21,338,376 outputs
Outputs from Substance Abuse Treatment, Prevention, and Policy
#431
of 674 outputs
Outputs of similar age
#176,711
of 391,539 outputs
Outputs of similar age from Substance Abuse Treatment, Prevention, and Policy
#1
of 1 outputs
Altmetric has tracked 21,338,376 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 674 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 35th percentile – i.e., 35% 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 391,539 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them