Clinical Trial Details
— Status: Active, not recruiting
Administrative data
NCT number |
NCT06326515 |
Other study ID # |
Government College University |
Secondary ID |
|
Status |
Active, not recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
January 1, 2024 |
Est. completion date |
September 10, 2024 |
Study information
Verified date |
March 2024 |
Source |
Government College University Faisalabad |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
to investigate the impact of cognitive behavior therapy for psychiatric problems among
patients with opioid use disorder with relapse condition.
In this randomize control trail (RCT), N=120 patients with relapse condition would be taken.
After enrolment patients' eligibility assessment would be completed and then n=60 patients
would be allocated to experimental (n=30) and waitlist control (n=30) through random
assignment. Patient's age range would be between 20 to 30 years.
Description:
Background: Opioid use disorder causes severe mental health problems with high mortality and
morbidity (Harford, Yi, & Grant, 2013). Cognitive behavior therapy is found an evidence-based
treatment modality to address psychiatric problems among individuals with substance use
disorders (Cosci et al., 2007).
Objectives: to investigate the impact of cognitive behavior therapy for psychiatric problems
among patients with opioid use disorder with relapse condition.
Hypothesis: After review of literature, cognitive behavior therapy would reduce criminogenic
cognition, depressive symptoms, stigma and addiction severity and will improve coping
strategies and the quality of life between experimental and waitlist control.
Methods: In this randomize control trail (RCT), N=120 patients with relapse condition would
be taken. After enrolment patients' eligibility assessment would be completed and then n=60
patients would be allocated to experimental (n=30) and waitlist control (n=30) through random
assignment. Patient's age range would be between 20 to 30 years.
Measures: Demographic form and in-depth clinical interview would be used conducted to take
history of the participants' problems. Moreover, Alcohol, Smoking and Substance Involvement
Screening Test (ASSIST; Henry-Edwards et al., 2003; Hussain et al., 2022), Criminogenic
Cognition Scale (CCS;Tangney, at el, 2012; Jamil & Fatima, 2018) Perceived Stigma of
Addiction Scale (PSAS; Luoma et al, 2010; Shahzad et al., 2021), Patient Health Questionnaire
(PHQ-9; Robert et al. 1999; Ahmad et al, 2018), Relapse Risk Scale (RRS; Marlatt & Gordon,
1985; Hussain et al., 2016), Brief Cope Inventory (BCI; Carver, 1997; Shahzad et al., 2020)
and World Health Organization Quality-of-Life Scale (WHOQOL; WHO, 2004; Khalid & Kausar,
2006) would be used as secondary measures.
Interventions: The treatment protocol would be prepared on the base of CBT with specific
goals including short term and long term. 8-12 therapeutic sessions would be given with twice
a week interval in one-on-one sitting.
Procedure: After approval from the BOS and Advance Studies and Research (ASR), G. C.
University Faisalabad, study proposal would be submitted in the Institutional Review Board
(IRB), G. C. University Faisalabad for further approval. Furthermore, study protocol would be
registered in WHO recognised registry for further approval to conduct RCT. Then data would be
collected after getting consent from the institutions as well as from the participants. In
RCT, participants eligibility assessment would be completed after enrolment then they will be
allocated to experimental and control groups through random assignment. CBT based 8-12
therapeutic sessions would be given with twice a week interval in one-on-one sitting.
Statistical analysis: Study-I: Descriptive statistics (i.e., M, SD & f) will be used to
calculate demographic characteristics of the sample. Correlation statistics, t-test, and
mediation analysis using PROCESS would be used. Study-II: Descriptive statistics (i.e., M &
SD), chi-square statistics, power analysis, and repeated measure ANOVA statistics would be
used. All statistical computation would be calculated by using SPSS 26.0. sample size would
be calculated using G-Power Software.