scholarly journals A behavioral economic approach to assessing demand for marijuana.

2014 ◽  
Vol 22 (3) ◽  
pp. 211-221 ◽  
Author(s):  
R. Lorraine Collins ◽  
Paula C. Vincent ◽  
Jihnhee Yu ◽  
Liu Liu ◽  
Leonard H. Epstein
2017 ◽  
Vol 61 (6) ◽  
pp. 755-760 ◽  
Author(s):  
Rachel Caskey ◽  
E. Grace Sherman ◽  
Kera Beskin ◽  
Rebecca Rapport ◽  
Yinglin Xia ◽  
...  

2016 ◽  
Vol 106 (1) ◽  
pp. 93-106 ◽  
Author(s):  
Derek D. Reed ◽  
Brent A. Kaplan ◽  
Amel Becirevic ◽  
Peter G. Roma ◽  
Steven R. Hursh

1996 ◽  
Vol 19 (4) ◽  
pp. 578-579 ◽  
Author(s):  
Edmund Fantino

AbstractHeyman's target article makes a strong case for a behavioral approach to addiction, yet some important assumptions require justification, and promising behavioral alternatives to the author's melioration approach should be considered. In particular, the behavioral economic approach to addiction appears well developed and comprehensive. How does the melioration approach complement or improve on a behavioral economic account?


2019 ◽  
Vol 35 ◽  
Author(s):  
Ariela Oliveira Holanda ◽  
Jorge Oliveira-Castro

Abstract From a behavioral-economic approach of delinquent behavior, this research aimed to identify potential consequences that could alter the cost of crime from the offender’s perspective. A questionnaire prepared to assess the level of informational and utilitarian reinforcement and punishment of these consequences was answered by 118 juvenile offenders in confinement. The reported level of informational reinforcement did not predict the level of multiplicity of offenses committed. The reported levels of utilitarian reinforcement, informational punishment, and utilitarian punishment predicted this level of multiplicity. Only the level of utilitarian punishment decreased the likelihood of an offender having been involved in more types of criminal acts. Theoretical and practical implications of these findings are discussed.


PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0213453 ◽  
Author(s):  
Yusuke Hayashi ◽  
Anne M. Foreman ◽  
Jonathan E. Friedel ◽  
Oliver Wirth

Health Policy ◽  
2010 ◽  
Vol 97 (2-3) ◽  
pp. 238-249 ◽  
Author(s):  
Yoshiro Tsutsui ◽  
Uri Benzion ◽  
Shosh Shahrabani ◽  
Gregory Yom Din

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S60-S60
Author(s):  
Marci Drees ◽  
Michael Winiarz ◽  
Zugui Zhang ◽  
Robert Dressler ◽  
Stephen C Eppes

Abstract Background To decrease inappropriate testing for C. difficile patients, we first employed an alert, followed by a hard stop (based on lack of documented diarrhea or laxative use), that could be overridden only by calling the laboratory. We describe a behavioral economic approach to test overrides that decreased the burden on both clinicians and laboratory staff without encouraging unnecessary testing. Methods Our 2-hospital, > 1200-bed community-based academic healthcare system has performed PCR-only C. diff testing since January 2015. We implemented our initial laxative alert, which did not prohibit testing, in March 2015. In April 2017, we launched a “hard-stop” alert that cancelled orders without documented diarrhea or recent laxative use. The provider could override by calling the laboratory and documenting the laboratorian’s name in the order; no further justification was required, but entries were intermittently monitored. In August 2019, we allowed clinicians to document their clinical justification instead of making this additional call, while emphasizing that rationales would be monitored for validity (Fig 1). We measured number of C. diff tests completed/month, overrides, and CDI standardized infection ratios (SIRs). We performed time-series analysis to account for each of these test ordering changes. Figure 1: Image of C. diff alert Results At baseline, we observed a mean of 448 (SD, ±25) C. diff orders per month. The initial laxative alert led to a sustained decrease in monthly C. diff orders by 17% (p < 0.001; Fig 2). Another sustained decrease in monthly C. diff orders of an additional 29% (p< 0.001) occurred after the “hard stop” alert. Overall, C. diff orders decreased by 40% (3.5% per month). After introduction of the clinical justification documentation, to date we have not observed significant trends in C. diff override rates. The CDI SIR decreased from 0.9 (95% CI, 0.77- 1.04) in 2016 to 0.52 (0.42–0.64) in 2019. Figure 2: Interrupted time series analysis Conclusion An iterative process to improve C. diff testing stewardship resulted in sustained improvements in C. diff ordering and hospital onset CDI cases. Behavioral economic approaches emphasizing the importance of clinical reasoning allowed us to reduce burden on clinicians and laboratory staff without increasing inappropriate testing. Disclosures All Authors: No reported disclosures


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