Background: Opioid Substitution Treatment (OST) misuse and diversion have significantly increased worldwide. Obtaining OST prescriptions from multiple prescribers, known as doctor shopping, is a way in which opioids may be diverted.
Objectives: The aim of this study was to assess the incidence of OST (high dosage buprenorphine (HDB) and methadone (MTD)) shopping behavior and identify associated risk factors, and its impact on mortality.
Methods: A retrospective cohort of patients treated by OST between April 1, 2004 and December 31, 2012 from a sample of the French Health Insurance database was established. Doctor shopping was defined as ≥1 day of overlapping prescriptions written by ≥2 different prescribers and filled in ≥3 different pharmacies.
Results: A total of 2043 patients were enrolled, 1450HDB and 593 MTD. The one-year incidence of shopping behavior was 8.4% (95% CI: 7.0-10.1) in HDB group and 0% in MTD group, compared to 0.2% (95% CI: 0.1-0.2) for diuretics. On multivariate analysis, factors associated with HDB shopping behavior were: male gender HR: 1.74 (95% CI: 1.20-2.54); low-income status HR: 2.95 (95% CI: 2.07-4.44); mental health disorders HR: 1.43 (95% CI: 1.06-1.94); concurrent hypnotics use HR: 1.90 (95% CI: 1.39-2.61); concurrent use of weak opioids HR: 1.48 (95% CI: 1.09-1.99) and morphine HR: 1.69 (95% CI: 1.02-2.80). HDB shoppers had a higher, yet non-significant risk of death (HR: 1.56 (95% CI: 0.64-3.81)) than non HDB shoppers.
Conclusion: Shopping behavior was only found in high dosage buprenorphine patients and concerned almost one out ten patients.
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http://dx.doi.org/10.1016/j.drugalcdep.2016.02.035 | DOI Listing |
J Behav Addict
January 2025
1General Psychology: Cognition, Faculty of Computer Science, University of Duisburg-Essen, Germany.
Background: During the development of addictive behaviors, theoretical models assume a shift from experience of gratification being a driver in early stages to experience of compensation which dominates at later stages of addiction development. Initial studies show a trend in this direction; however, this shift has not yet been investigated in clinical samples. We assume experienced gratification to be highest in individuals with risky use (indicating the beginning of the addiction process), and compensation to be highest in individuals with pathological use.
View Article and Find Full Text PDFPublic Health Nutr
January 2025
Department of Epidemiology, Human Genetics, and Environmental Science, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030. USA.
Objective: We qualitatively examine the grocery shopping behaviors and fruit and vegetable consumption of low-income families participating in the Brighter Bites program in Houston, Texas.
Design: We used a single-group observational study design. We used (1) purposive sampling of schools and (2) convenience sampling of parents/caregivers to recruit participants.
Appetite
January 2025
Tilburg University , Department of Communication & Cognition , P.O. Box 90153 , 5000 LE Tilburg , The Netherlands. Electronic address:
As food choices are increasingly made in contexts such as online supermarkets, nudging has been extrapolated to the digital sphere. Digitalization poses unique opportunities to enhance the promotion of healthier food choices online: Digital nudges can be delivered "just-in-time" (JIT), in response to the initial selection of an unhealthy product. Furthermore, digital JIT nudges can be personalized to match user characteristics of behavioral relevance, such as one's food and cognitive processing preferences.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Business and Commerce, Kansai University, Osaka, 5648680, Japan.
In field of location prediction, trajectory recognition is one of the most widely research issues. Since trajectory includes various information such as position, time, and speed, many scientific methods are applied to extracting meaningful features, and discovering valuable knowledges. This paper pays more attention on case study of in-store trajectory, and proposes a series of recurrent neural network (RNN) for location prediction based on trajectory.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Nursing School, Federal University of Minas Gerais, Belo Horizonte 30130100, Brazil.
The aim of the present study is to identify obesogenic environment profiles to find the obesogenic environment pattern for Belo Horizonte City. The current research followed the ecological approach and was substantiated by data from food shops, public sports venues, crime rates (homicides and robberies) and the rate of accidents with pedestrians. Descriptive analyses and principal component analysis (PCA) were conducted in Stata software, version 14.
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