Table 1: Summary of descriptive statistics showing demographic features of participants selected (n = 1200)
The descriptive results in Table I reveal the demographic variables based on the information obtained from 1200 participants recruited in the study. Notably, there were 783 males (65.3%) and 417 females (34.8%), with ages ranging from 18 to 69 years, a mean age of 42.57 years, and a standard deviation (SD) of 13.76 years. A significant finding was that 46.3% of participants reported knowledge of drug use, indicating that 53.7% of the participants had poor knowledge and beliefs about drug use disorders. This suggests a prevalent lack of understanding of drug use as a disorder requiring medical therapeutic interventions and a high belief in traditional/spiritual healing. Table 1 provides further details on the demographic features of the participants.
Table 2: Summary of the zero-order correlation matrix of the study variables exploring the impacts of help-seekers’ knowledge, beliefs, and attitudes on the choice of treatment for substance use disorders.
Variable
|
Sex
|
Age
|
MS
|
EDU
|
OC
|
KD
|
BE
|
ATD
|
TC
|
KA
|
Sex
|
1
|
|
|
|
|
|
|
|
|
|
Age
|
.02
|
1
|
|
|
|
|
|
|
|
|
MS
|
.02
|
.45**
|
1
|
|
|
|
|
|
|
|
EDU
|
.02
|
.05
|
.07*
|
1
|
|
|
|
|
|
|
OC
|
.04
|
.03
|
.05
|
.06*
|
1
|
|
|
|
|
|
KD
|
-.03
|
.05
|
.04
|
-.03
|
-.01
|
1
|
|
|
|
|
BE
|
-.05
|
.01
|
.05
|
-.03
|
-.01
|
.41**
|
1
|
|
|
|
ATD
|
-.05
|
.01
|
.03
|
-.01
|
.03
|
.46**
|
.56**
|
1
|
|
|
TC
|
-.03
|
-.00
|
-.00
|
.03
|
.06
|
.42**
|
.44**
|
.49**
|
1
|
|
KA
|
-.04
|
.01
|
.02
|
-.01
|
.02
|
.29**
|
.32**
|
.35**
|
.28**
|
1
|
Note: MS = marital status; EDU= education; OC = occupation; K = knowledge of drug use disorder; BE = belief in drug use; ATD = attitude toward drug use; TC = treatment choice; KA = knowledge of availability.
*Correlation significant at the 0.05 level
**Correlation significant at the 0.01 level
The matrix results in Table 2 indicate that marital status was directly related to age (r = .45; p<0.01), while educational status was directly associated with marital status (r = .07; p<0.05). Belief in substance use disorder was directly related to knowledge of substance use disorder (r = .41; p<0.01). This means that the greater their belief in substance use disorders is, the more their knowledge of substance use disorders will be reinforced and enhanced. An attitude toward substance use disorders was directly associated with knowledge of substance use disorders and belief in substance use disorders (r = .46; p<0.01; r = .56; p<0.01). The participants’ treatment choices were significantly and positively related to their knowledge, beliefs, and attitudes toward substance use disorders (r= .42; p<0.01; r = .44; p<0.01; r = .49; p<0.01, respectively). According to the results of the final analysis, the coefficient matrix indicated that knowledge of availability was positively associated with knowledge, beliefs, and attitudes about substance use disorders as well as with treatment choice (r = .29; p<0.01; r = .32; p<0.01; r = .35; p<0.01; r = .28; p<0.01). In conclusion, the correlation results of key variables underscore the predictive power of good knowledge of substance use as a disorder that requires medical and therapeutic intervention when choosing evidence-based treatment options and instilling confidence in decision-making.
Table 3: Summary of multiple regressions based on the predictive influence of help-seekers’ knowledge, beliefs, and attitudes toward drug use disorders on the choice of treatment in the abia State.
Hypothesis One: Knowledge of substance use disorders significantly predicts treatment choice among relatives of substance users.
In testing the first study hypotheses, multiple regressions were utilized to ascertain the predictive role of knowledge, beliefs, and attitudes of substance use disorder and choice of treatment among relatives of substance users. The results presented in Table 3 imply that people’s knowledge, beliefs, and attitudes toward substance use disorders yielded a coefficient of multiple correlation (R) of 0.555 and multiple correlation square (R2) of 0.308. Specifically, approximately 30.8% of the variance in treatment choice was explained by the combined effects of knowledge, beliefs, and attitudes toward substance use disorders. Empirical results also revealed that knowledge of substance use disorders was an independent predictor of choice of treatment (β = 0.21; t = 7.43; p<0.05). Therefore, the first hypothesis, which stated that knowledge of substance use disorders significantly predicts the choice of treatment among relatives of drug users, was confirmed. These findings have practical implications for the treatment of substance use disorders among relatives of drug users, providing a roadmap for effective interventions.
Hypothesis Two: Belief in substance use disorder will significantly predict the choice of treatment among relatives of substance users.
Second, the results in Table 3 show that belief in substance use disorders predicted the choice of treatment among relatives of substance users (β = 0.19; t = 6.58; p<0.05). The direction of the regression indicates a positive relationship, which means that the greater the belief in substance use as a disorder that requires medical and therapeutic intervention is, the more evidence-based choice of treatment among relatives of substance users will improve positively in terms of seeking therapy. Based on this, the second hypothesis, which states that belief in substance use as a disorder significantly predicts the choice of treatment among relatives of substance users, was confirmed. This is also a pointer to the need for evidence-based treatment intervention.
Hypothesis Three: Patients’ attitudes toward substance use disorders will significantly predict their choice of treatment among their relatives.
Third, the results in Table 3 show that attitudes toward substance use disorders predicted treatment choice (β = 0.28; t = 9.27; p<0.05). The direction of the regression indicates a positive relationship, which means that the more objective a substance user is to be, the more likely he or she is to opt for mental health treatment options and vice versa. Given this, the third hypothesis, which states that attitudes toward substance use disorders significantly predict the choice of treatment among relatives of substance users, was confirmed. Finally, regression statistics showed a joint predictive influence of knowledge, beliefs, and attitudes toward substance use as a disorder on treatment choice, F (3, 1199) = 177.23, p<0.05. The regression again indicated a positive relationship among all the predictor variables, which implied that increased knowledge, beliefs, and attitudes toward substance use as a disorder among relatives of substance users were positive and that people were receiving pro-treatment/mental wellness. Additionally, their disposition toward the choice of treatment for their loved ones was more favorable, thereby helping them cheerleading the way toward tackling substance use disorders and comorbidities among young people. The study also revealed the poor availability of rehabilitation centers, which may have affected treatment options by limiting the choices available and potentially increasing the burden on existing facilities.
A stepwise regression was also conducted to determine the best-predicting variable out of the three independent variables. The results showed that attitude toward substance use disorders was the best predictor of treatment choice (F (1, 1199) = 368.99, p<0.05), accounting for 28.5% of the variance in choice of treatment out of the cumulative 30.8 percent obtained. In addition, knowledge of substance use disorder was the second-best predictor of treatment choice (F (1, 1199) = 235.84, p<0.05), with 4.8% variance out of the joint 30.8% reported, while belief in substance use disorder was the third-best predictor of treatment choice, with 2.5% variance in choice of treatment.