Title |
Technological aids for improving longitudinal research on substance use disorders
|
---|---|
Published in |
BMC Health Services Research, August 2016
|
DOI | 10.1186/s12913-016-1630-0 |
Pubmed ID | |
Authors |
David Farabee, Marya Schulte, Rachel Gonzales, Christine E. Grella |
Abstract |
There is a broad consensus that addictive behaviors tend to be chronic and relapsing. But for field studies of substance users, successfully tracking, locating, and following up with a representative sample of subjects is a challenge. The purpose of this paper is to provide a general overview of how current technological aids can support and improve the quality of longitudinal research on substance use disorders. The review is grouped into four domains: (1) tracking and locating, (2) prompting/engaging, (3) incentivizing, and (4) collecting data. Although the technologies described in this review will be modified or replaced over time, our findings suggest that incorporating some or all of these currently available approaches may improve research efficiency, follow-up rates, and data quality. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 7 | 70% |
United Kingdom | 1 | 10% |
Unknown | 2 | 20% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 9 | 90% |
Scientists | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 20% |
Student > Master | 3 | 8% |
Student > Bachelor | 3 | 8% |
Student > Ph. D. Student | 3 | 8% |
Student > Doctoral Student | 2 | 5% |
Other | 8 | 20% |
Unknown | 13 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 6 | 15% |
Computer Science | 6 | 15% |
Medicine and Dentistry | 4 | 10% |
Nursing and Health Professions | 3 | 8% |
Social Sciences | 3 | 8% |
Other | 4 | 10% |
Unknown | 14 | 35% |