Date of Conferral



Doctor of Nursing Practice (DNP)




Alice Conway


Behavioral Modification and Relapse Rates in

Opioid-Dependent Pregnant Women Managed with Subutex


Tammy Minor

MSN, Walden University, 2009

BSN, Marshall University, 1986

Project Submitted in Partial Fulfillment

of the Requirements for the Degree of

Doctor of Nursing Practice

Walden University

March 2016

Opioid dependency affects not only the individual who is dependent on opioids but negatively impactsalso the family unit, the community, and society as a whole. Opioid use in the prenatal period can have devastating effects on both the mother and the fetus. The purpose of this paper is to perform a secondary analysis of the effectiveness of behavioral modification in reducing relapse rates and improving compliance of treatment regimen in opioid- dependent pregnant women who were being managed in a FamilyCare Health Center in West Virginia. The transtheoretical model was used as a framework to determine participants' behavioral readiness to change. The Stetler model was used to evaluate outcomes and goal achievement. The sample consisted of 43 pregnant opioid-dependent women who had participated in the Subutex-assisted program at 3 Family Care Health Centers in West Virginia. Descriptive statistics and regressive analysis were used to analyze relapse data at weeks 2, 6, and 10. A secondary analysis was conducted to determine if behavioral modification contributed to a reduction in relapse rates and improved compliance with the treatment regimen using ANOVA and MANOVA. The results of ANOVA and MANOVA tests showed that behavioral modification has a potential to influence a reduction in relapse rates in the target population. The information obtained from this analysis can be used to influence social change by assisting healthcare providers in revising or modifying existing programs; this information can also and inform the help to design of future programs that effectively meet the needs of this target population .

Included in

Nursing Commons