The research literature suggests that contingency management protocols are a useful approach in suboxone/buprenorphine treatment. However, there is a lack of data on its rate of use amongst service providers in Massachusetts. This study sought to survey the practices of service providers of suboxone/buprenorphine clients in Massachusetts. An online survey, questioning providers on their demographics, criteria for adherence to their treatment program, views and use of rewards, and views and use of punishments was developed and distributed to service providers. Fifty-four participants provided sufficient data to analyze. Descriptive statistics revealed that most participants were in the medical field, with a large number of participants having nursing degrees and nursing positions. Three criteria for treatment adherence were popular amongst service providers: “Adherence to a suboxone/buprenorphine prescription, attendance at mandatory meetings, and abstinence” (37%), followed by “Adherence to a suboxone/buprenorphine prescription—decrease in substance use” (24.1%), and “Adherence to a suboxone/buprenorphine prescription and attendance at mandatory meetings—decrease in substance use” (14.8%). Less than half of participants utilized rewards (38.9%). The most popular rewards used were “Reduction in frequency of supervision” (66.7%) and “Reduction in frequency of dispensing” (61.9%). Punishment use was more popular amongst participants (63%), and was viewed as significantly more effective than rewards. The most popular punishments were “Referral for additional services ” (91.2%), “Increase in frequency of supervision ” (85.3%), and “Discharge from the program” (70.6%). The most frequently cited factors that influenced the use of reward and punishment systems involved treatment engagement and use of illicit drugs. Future research in the field should focus on developing a standard approach towards contingency management use in suboxone/buprenorphine programs. For studies seeking to emulate the current research, drawing a larger population of participants will help develop greater likelihood of detecting significant relationships amongst variables.
|Commitee:||Busconi, Frank, Cobb, Ron|
|School:||William James College|
|School Location:||United States -- Massachusetts|
|Source:||DAI-B 80/02(E), Dissertation Abstracts International|
|Subjects:||Medicine, Public health, Psychology|
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