Abstract
Background
Initiation of treatment for substance use disorders is low among young women from disadvantaged communities in Cape Town, South Africa. Yet little is known about the factors that influence perceived need for treatment (a determinant of treatment entry) within this population.
Methods
Baseline data on 720 young, drug-using women, collected as part of a randomized field experiment were analyzed to identify predisposing, enabling and health need factors associated with perceived need for treatment.
Results
Overall, 46.0% of our sample perceived a need for treatment. Of these participants, 92.4% wanted treatment for their substance use problems but only 50.1% knew where to access services. In multivariable logistic regression analyses, we found significant main effects for ethnicity (AOR = 1.54, 95% CI = 1.05-1.65), income (AOR = 0.96, 95% CI = 0.93-0.99), anxiety (AOR = 1.22, 95% CI = 1.05-1.45), and not having family members with drug problems (AOR = 1.45, 95% CI = 1.05-2.04) on perceived need for treatment. When the sample was stratified by methamphetamine use, income (AOR = 0.87, 95% CI = 0.79-0.96), awareness of treatment services (AOR =1.84, 95% CI = 1.03-3.27), anxiety (AOR =1.41, 95% CI = 1.06-1.87) and physical health status (AOR = 6.29, 95% CI = 1.56-25.64) were significantly associated with perceived need for treatment among those who were methamphetamine-negative. No variables were significantly associated with perceived need for treatment among participants who were methamphetamine-positive.
Conclusions
A sizeable proportion of young women who could benefit from substance use treatment do not believe they need treatment, highlighting the need for interventions that enhance perceived need for treatment in this population. Findings also show that interventions that link women who perceive a need for treatment to service providers are needed. Such interventions should address barriers that limit young women’s use of services for substance use disorders.
Keywords: Perceived need for drug treatment, Mental health, Women, South Africa, Methamphetamine
Background
In South Africa, the prevalence of substance use disorders is high [1,2], with the lifetime and past year prevalence of substance use disorders among adults being 13.3% and 5.8%, respectively [1]. Among these 12-month prevalent cases, approximately 30.9% have a severe substance use disorder and therefore are likely to benefit from treatment [1]. Epidemiological studies suggest that substance use disorders are concentrated in the Western Cape Province [2]. In this province, the lifetime prevalence of substance use disorders among the general population is significantly higher (20.3%) and problem severity greater than the national average [1]; suggesting a considerable need for substance use treatment services in this province. The widespread use of methamphetamine among people who use drugs in the Western Cape [2-4] is a likely contributing factor to the severity of substance use disorders in this province, as people who use methamphetamine are significantly more likely to report worse health and social problems than people who use other substances [5,6].
Even though evidence-based treatment programs are available in the Western Cape [7], only a small proportion of people with substance use disorders in this province ever receive treatment [8,9]. Women from disadvantaged communities are significantly less likely than men to obtain treatment for these disorders, even when the severity of their drug problems is comparable [5,10]. While systemic and structural barriers to accessing treatment have been identified among women from impoverished communities in the Western Cape [11,12], these barriers do not fully account for why poor substance-using women fail to utilize available services. Failure to perceive a need for treatment, a key determinant of health services use [13] and a necessary step in the process of changing addictive behaviors [14], may contribute to the poor uptake of treatment for substance use disorders by vulnerable women. Perceived need for treatment is often low among people with substance use disorders [15], including poor South African women [9,16,17]. One study reported that only 39.8% of women who met DSM-IV criteria for a current substance use disorder perceived a need for treatment [17]. As people who perceive a need for treatment are more likely to initiate treatment and have better substance use outcomes than those who do not think treatment is necessary [15,18-20], helping substance-using women recognize a need for treatment may be an important focus for interventions directed at improving treatment initiation among disadvantaged women.
Nationally representative surveys of substance use in the United States (US) have identified correlates of perceived need for treatment that deepen our understanding of the characteristics of people who may benefit from interventions to improve perceived need for treatment. These studies found that socio-demographic factors such ethnicity (not white) [15,21,22], marital status (being unmarried) [15,21,23], age (being older) [21], and education (higher education) [24] were associated with increased odds of perceiving a need for treatment. In addition, having a poorer physical [21,23] and mental health status [15,21-23], greater alcohol [15,22] and drug use [15,18] problem severity, greater functional and social impairment [18,23] and more emotional support [24] increased the likelihood of perceiving a need for treatment. People with stimulant use disorders were also more likely to perceive a need for treatment than people with other types of substance use disorders [15]. Finally, prior substance use treatment and having a family history of substance use disorders has also been positively associated with perceived need for substance use treatment [15,18,22].
While these studies provide insights into factors associated with perceived need for substance use treatment in the US, it is unclear whether these correlates are relevant for low- and middle-income countries, such as South Africa. Furthermore, research on this topic has largely examined correlates of perceived need for treatment among populations undifferentiated by gender, with no studies investigating factors associated with perceived need for treatment among women specifically. These knowledge gaps are cause for concern as they limit our ability to identify women who may benefit most from interventions that enhance perceived need for substance use treatment.
As a first step to addressing this gap, we explored the correlates of perceived need for substance use treatment among young, drug-using women from Cape Town, South Africa. The Behavioral Model of Health Services Utilization (BHSU) [13] was the theoretical basis for the study and guided variable selection. Although the BHSU was originally developed to understand health services utilization [8,13], it has also been used to predict perceived service need [25,26]. According to the BHSU, perceived need is a function of the separate and combined influence of predisposing factors (e.g. demographic, attitudinal-belief variables), enabling conditions that encourage the person to perceive a need for services (e.g. income, relationship status, awareness of services, and social support), and health needs (e.g. physical and mental health status and functional impairment) [13,25,26]. Using this framework, this study aimed to identify the profile of variables associated with perceived need for treatment among young substance-using women from disadvantaged communities in Cape Town, South Africa. As methamphetamine use is highly prevalent among young women from these communities [3,4] and because people who use methamphetamine report greater physical and mental health problems and less social support relative to people who use other types of substances [3-6], we hypothesized that there might be differences in the pattern of correlates associated with perceived need for treatment among young women with and without recent methamphetamine use. As a result, we also compared and contrasted the profile of variables associated with perceived need for treatment among young women with and without recent methamphetamine use.
Methods
Study design, participants and procedures
In this article, we report on the baseline characteristics of 720 women recruited into a community-based randomized field experiment of an HIV risk-reduction intervention for subtance-using women, known as the Western Cape Women’s Health CoOp (WHC). Participant recruitment started in September 2008 and 12-month follow-up ended in January 2012 [27].
Eligible participants were sexually active heterosexual women between 18 and 33 years of age, living in one of the study’s target communities, who had used at least two substances (one of which could be alcohol) at least once a week for the past three months, and who had not participated in the Women’s Health CoOp pilot or formative studies [28]. We decided to recruit women between 18 and 33 years of age as South African women in this age range are most-at-risk for acquiring HIV and we were interested in recruiting women who would benefit most from a targeted HIV prevention program [27]. To be selected as a target community, areas had to be located around Cape Town’s international airport and be recognized as a disadvantaged, low-income area by the provincial authority responsible for social welfare and community upliftment programs [29]. We used a rigorous sampling strategy in which all 15 disadvantaged communities in this region were selected as target communities. To ensure balanced recruitment, population estimates were used to calculate desired sampling targets for each of the selected areas [27].
As the target population for this study is generally difficult to reach, trained outreach workers used standard street outreach techniques (such as distributing marketing materials in places frequented by our target population and visiting these areas regularly to build trust and rapport with community members) to identify potential participants. Outreach workers were lay health workers who resided in similar communities, all of whom had experience in community-based recruitment for mental health studies. These staff approached adult women in the communities of interest, described the study, and requested verbal permission to screen them for potential study eligibility [4,27]. Once we had built trust and rapport with community members, we had little difficulty in recruiting women to participate in the study, largely because substance use is normalized and occurs in public spaces in many of the communities we recruited from [30]. Eligible women who were interested in the study were given an appointment for an intake interview and were also asked to refer women similar to themselves to the outreach workers for eligibility screening. At the intake appointment, women were rescreened and women who remained eligible were enrolled only after providing written informed consent to participate in the study. Once enrolled, an interviewer administered the baseline questionnaire by using computer-assisted personal interviewing (CAPI) and conducted biological testing for pregnancy, HIV, and recent drug use. All assessments occurred in English, with field staff able to translate questions where needed. Participants received refreshments and a grocery voucher valued at ZAR 40 (approximately $6 at the time of the study) for their time. Further detail on the design and procedures of this experiment are provided elsewhere [27].
Measures
A modified Revised Risk Behavior Assessment (RRBA), adapted for use in the Western Cape [31], was used to collect baseline information. The RRBA collects self-report information on socio-demographic characteristics, health knowledge, substance use and readiness for treatment (including perceived need for drug treatment), sexual risk behaviors, power and empowerment, conflict and victimization, physical and mental health, and need for health and other services. For this paper, our outcome variable of interest was perceived need for drug treatment. To address our study aims, we explored associations between this outcome variable and various predisposing, enabling and health need variables.
Perceived need for drug treatment
The main outcome variable for this paper is perceived need for substance use treatment. Specifically, participants were asked about whether or not they thought they needed treatment now. This item had a yes/no response option and was part of an assessment of readiness to change. In addition, participants who perceived a need for treatment were asked whether they wanted to go to treatment. Those who wanted to go to treatment were asked whether they wanted to go to treatment within the next 30 days, between 30 days and six months or after more than six months.
Predisposing factors
Predisposing factors included race/ethnicity, specifically whether the participant self-identified as Black African, “Coloured”, White, or Asian/Indian; age; and education (whether or not the person had completed high school); all of which have been associated with perceived need for treatment in the literature. In South Africa, the term “Coloured” is an officially accepted descriptor of race/ethnicity and describes people of mixed race ancestry who belong to a unique ethnic group in South Africa with their own language and cultural traditions.
Enabling factors
Enabling factors included income in last 30 days (in ZAR) and relationship status. For relationship status, participants were asked to indicate whether or not they were single, were involved in a relationship but were not living with their partner, or were married and/or living with their partner. Other enabling factors of interest included whether the participant had ever received treatment for a substance use disorder whether the participant had family members with drug problems, and whether the participant was aware of where to go for substance use treatment. These items all had yes/no response options.
Health need variables
We examined physical and mental health status, both of which have been associated with perceived need for substance use treatment in the literature. Participants were asked to rate their current physical health status as poor or good. We also examined two aspects of psychological distress: depression and anxiety. We used the Center for Epidemiological Studies Depression (CES-D) scale to measure symptoms of depression. This scale consists of 20 items which are rated on a four-point Likert scale with responses ranging from 0 (No symptom presence) to 3 (Symptoms are present most or all of the time). Composite scale scores range from 0 to 60, with a score of 16 or higher signifying clinically meaningful depression [32]. Among different populations, the CES-D has shown acceptable psychometric properties [33] and has been validated for use in South Africa [34]. This study obtained a Cronbach’s alpha coefficient of 0.89 for the CES-D. We used the seven-item Texas Christian University (TCU) anxiety scale, purposefully developed for use among substance-using populations, to assess symptoms of anxiety. For this scale, items are rated on a five-point Likert scale, with responses ranging from 1 (Disagree strongly) to 5 (Agree strongly). Composite scores range from 7 to 35, with higher scores indicating more symptoms of anxiety. Prior research with substance-using populations [35,36], including South African drug using populations [8-11] has indicated that the TCU anxiety scale has good reliability and validity. This study obtained a Cronbach’s alpha coefficient of 0.80 for this scale.
Methamphetamine use
We further investigated how methamphetamine use related to perceived need for treatment. Recent drug use was assessed through biological testing. The Reditest drug test (Redwood Toxicology Laboratory) was used to test participants’ urine samples for the use of methamphetamine, cocaine, opiates, and THC (cannabis) in the past 72 hours. For this paper, we report on the biological results for methamphetamine use which were used to stratify the sample.
Ethics statement
Ethics approval was granted by the Institutional Review Boards of RTI International and Stellenbosch University’s Faculty of Health Sciences. The trial (on which this study is based) is registered on ClinicalTrials.gov (Trial Registration Number: NCT00729391).
Statistical analyses
Missing data was dealt with through list-wise deletion of cases with missing observations on our variables of interest. Our final analytical sample comprised 719 cases (of a possible 720). We performed tabular and other descriptive analyses on all data. Chi-square tests of association were used to examine associations between methamphetamine use and the categorical variables and independent sample t-tests were used to compare the methamphetamine use groups on continuous variables. Next, simple and multiple logistic regression analyses were conducted to examine unadjusted and adjusted associations between perceived need for treatment and various predisposing, enabling and health need variables for the overall sample. All covariates were entered into the multiple logistic regression analyses. As we were interested in whether the profile of factors associated with perceived need for drug treatment varied by subgroups of substance use, we then stratified the sample by recent methamphetamine use. The size of the associations between the covariates and perceived need for drug treatment were then re-estimated via separate multiple logistic regression analyses for the sub-samples of individuals who tested positive and negative for methamphetamine use. The results of these regression models were reported as odds ratios (ORs) with 95% confidence intervals (95% CI). All statistical analyses were conducted using SPSS 21 (Chicago, Il).
Results
Of the 1098 women screened for eligibility, 247 did not meet the study’s inclusion criteria and another 131 did not wish to participate in the study. Women who did not want to participate reported that they did not have time to participate in the study, were concerned that fieldworkers were social workers and could remove children from their care, and felt that their drug use was not problematic.
Sample description
The sample was comprised entirely of Black African (44.9%) and Coloured women (55.1%). Of the Coloured participants, 82.6% tested positive for recent methamphetamine use compared to 36.5% of Black African participants (p < 0.001). In addition, women who tested positive for methamphetamine were somewhat older (mean age of 23.5 versus 22.6 years, p = 0.004), had higher monthly incomes (R304.2 versus R211.4, p = 0.009) than women who tested negative for methamphetamine (Table 1). For the overall sample, the mean CES-D score was 26.0 (SD = 12.3), considerably higher than the cut-off score of 16 used to signify clinically meaningful depression [28]. The mean CES-D (p <0.001) and TCU anxiety (p <0.001) scores were significantly higher among women who tested positive versus those who tested negative for methamphetamine (Table 1). Overall, 12.4% of the sample reported poor physical health; women who tested positive for methamphetamine were more likely to report poor physical health than those who tested negative (p <0.001; Table 1).
Table 1.
Perceived need for treatment and predisposing, enabling and health need variables for women with and without recent methamphetamine use
| Variable | Total | Methamphetamine positive (N =445) | Methamphetamine negative (N = 274) | χ 2 / t (df) | p |
|---|---|---|---|---|---|
|
Predisposing variables
|
|
|
|
|
|
| Age (M, SD) |
23.1 (4.2) |
23.5 (4.2) |
22.6 (4.2) |
2.9 (717) |
0.004 |
| Ethnicity (Coloured; %, n) |
55.1% (445) |
82.6% (327) |
17.4% (69) |
159.9 (1) |
<0.0001 |
| Education (not completed high school; %, n) |
88.9% (639) |
89.4% (398) |
88.0% (241) |
0.4 (1) |
0.539 |
|
Enabling variables
|
|
|
|
|
|
| Income in the last 30 days (ZAR M, SD) |
268.4 (464.0) |
304.2 (493.5) |
211.4 (406.7) |
2.6 (717) |
0.009 |
| Relationship status (%, n) |
|
|
|
|
|
| Married or living as married |
21.7% (156) |
27.6% (123) |
12.0% (33) |
|
|
| Boyfriend |
73.9% (531) |
66.5% (296) |
85.8% (335) |
32.61 (2) |
<0.0001 |
| Single |
4.5% (32) |
5.8% (26) |
7.2% (6) |
|
|
| Family members with drug problems (Yes; %, n) |
57.4% (413) |
61.1% (274) |
51.5% (141) |
6.8 (1) |
0.011 |
| Prior treatment (Yes; %, n) |
7.4% (53) |
10.1% (45) |
2.9% (8) |
12.8 (1) |
<0.0001 |
| Awareness of treatment programs (Yes, %, n) |
50.1% (360) |
52.9% (145) |
48.3% (215) |
1.44(1) |
0.230 |
|
Health need variables
|
|
|
|
|
|
| CES-D (M, SD) |
26.0 (12.3) |
28.5 (11.9) |
21.9 (11.8) |
7.3 (717) |
<0.0001 |
| Physical health (Poor; %, n) |
12.4% (89) |
15.7% (70) |
6.9% (19) |
12.10 (1) |
0.001 |
| TCU anxiety (M, SD) |
18.2 (6.1) |
19.4 (5.8) |
16.3 (6.0) |
6.8 (717) |
<0.0001 |
|
Need and readiness for drug treatment
|
|
|
|
||
| Perceived need for drug treatment (Yes; %, n) |
46.0% (330) |
46.3% (206) |
45.4% (124) |
0.5 (1) |
0.820 |
| Want to go to treatment (N = 329) |
92.4% (304) |
89.4% (110) |
94.2% (194) |
2.47 (1) |
0.116 |
| How soon do you want to go to treatment (N =304) |
|
|
|
|
|
| Within next 30 days |
63.8% (194) |
63.4% (123) |
64.5% (71) |
0.18 (2) |
|
| > 30 days < 6 months |
24.0% (73) |
24.7% (48) |
22.7% (25) |
0.915 |
|
| > 6 months from now | 12.2% (37) | 11.9% (23) | 12.7% (14) | ||
Less than half (46.0%) of the sample reported a need for drug treatment, with no significant differences found between women who tested positive versus those who tested negative for methamphetamine (Table 1). Of the participants who conveyed the need for treatment, 92.4% wanted to go to treatment. Of these, 63.8% wanted to go to treatment within the next 30 days (Table 1). Only half the sample (50.1%) knew where to go for drug treatment. More than half (57.4%) of the sample reported that they had family members with drug problems, with a greater proportion of women who tested positive for methamphetamine reporting family members (61.1%) with current drug problems than women who tested negative for this drug (51.5%; p = 0.011). Only a small proportion of participants reported prior treatment for a substance use disorder (7.4%). Compared to women without recent methamphetamine use, women with recent use were significantly more likely to have obtained prior treatment (p <0.0001; Table 1).
Associations between predisposing, enabling and health need variables and perceived need for treatment
Results of the simple logistic regression models indicated two enabling variables associated with perceived need for drug treatment. For every R100 increase in past month income, the odds of perceiving a need for treatment decreased by 4% (OR = 0.96, 95% CI = 0.93-0.99; Table 2). Participants who reported not having family members with drug problems had 40% greater odds of perceiving a need for drug treatment than participants who had family members with drug problems (OR = 1.40, 95% CI = 1.04-1.88; Table 2). Health need variables were also associated with perceived need for treatment. Every five unit increase on the TCU anxiety scale (OR =1.20, 95% CI = 1.06-1.36) and the CES-D (OR =1.07, 95% CI = 1.01-1.13) increased the odds of perceiving a need for treatment (Table 2).
Table 2.
Unadjusted and adjusted associations between predisposing, enabling and health need variables and perceived need for drug treatment among young, substance-using women in Cape Town, South Africa
|
Covariates |
Simple logistic regression |
Multiple logistic regression |
||||
|---|---|---|---|---|---|---|
| OR a | 95% CI b | p | AOR c | 95% CI | p | |
|
Predisposing variables
|
|
|
|
|
|
|
| Age |
0.97 |
0.74-1.88 |
0.108 |
0.98 |
0.94-1.01 |
0.188 |
| Ethnicity (Black African) |
1.21 |
0.90-1.62 |
0.212 |
1.54 |
1.05-1.65 |
0.027 |
| Education (Not completed high school) |
1.18 |
0.74-1.88 |
0.501 |
0.93 |
0.56-1.53 |
0.760 |
|
Enabling variables
|
|
|
|
|
|
|
| Relationship status (Reference married) |
|
|
|
|
|
|
| Boyfriend |
1.24 |
0.86-1.78 |
0.249 |
1.08 |
0.73-1.60 |
0.706 |
| Single |
1.22 |
0.57-2.62 |
0.607 |
1.10 |
0.50-2.42 |
0.819 |
| Income in the last 30 days |
0.96 |
0.93-0.99 |
0.015 |
0.96 |
0.93-0.99 |
0.041 |
| Family with drug problems (No) |
1.40 |
1.04-1.88 |
0.027 |
1.45 |
1.05-2.04 |
0.025 |
| Prior treatment (No) |
0.81 |
0.46-1.42 |
0.480 |
0.78 |
0.42-1.43 |
0.415 |
| Awareness of treatment services (Yes) |
1.27 |
0.95-1.71 |
0.109 |
1.19 |
0.86-1.65 |
0.301 |
|
Health need variables
|
|
|
|
|
|
|
| CES-D |
1.07 |
1.01-1.13 |
0.034 |
1.01 |
0.99-1.03 |
0.159 |
| TCU anxiety |
1.20 |
1.06-1.36 |
0.003 |
1.22 |
1.05-1.45 |
0.017 |
| Physical health status (Good) | 0.66 | 0.42-1.03 | 0.069 | 0.75 | 0.46-1.22 | 0.245 |
aOR = odds ratio.
b95% CI = 95% confidence intervals.
cAOR = adjusted odds ratio. All predisposing, enabling and health need variables were entered into the multiple logistic regression model.
After all covariates were entered into the logistic regression model, anxiety (AOR = 1.22, 95% CI = 1.05-1.45), not having family members with drug problems (AOR = 1.45, 95% CI = 1.05-2.04), and income (AOR = 0.96, 95% CI = 0.93-0.99) remained significantly associated with perceived need for treatment (Table 2). Race/Ethnicity was also associated with perceived need for treatment. Specifically, Black African participants had 54% greater odds of perceiving a need for drug treatment than their Coloured counterparts (AOR = 1.54, 95% CI = 1.05-1.65; Table 2).
When we stratified the sample by methamphetamine use, having family members with drug problems was no longer significantly associated with perceived need for treatment (Table 3). Among participants who tested negative for methamphetamine, every R100 increase in past month income decreased the odds of perceiving a need for treatment by 13% (AOR = 0.87, 95% CI = 0.79-0.96; Table 3). Women who were aware of where to go for treatment had almost double the odds of perceiving a need for treatment relative to those who were unaware of services (AOR = 1.84, 95% CI 1.03-3.27). The health need variables of physical health status and anxiety were also significantly associated with perceived treatment need (Table 3). With every five unit increase in the TCU anxiety scale, the odds of perceiving a need for treatment increased 1.41 times (95% CI = 1.06-1.87; Table 3). Finally, the odds of perceiving a need for treatment were six-fold greater among participants who reported poor health compared to those who reported ill health (AOR = 6.29, 95% CI = 1.56-25.64; Table 3). No variables were significantly associated with perceived need for treatment among participants with recent methamphetamine use (Table 3).
Table 3.
Adjusted associations between predisposing, enabling and health need variables and perceived need for treatment among young substance-using women in Cape Town, South Africa; stratified by methamphetamine use
| |
Methamphetamine positive |
Methamphetamine negative |
||||
|---|---|---|---|---|---|---|
| N = 445 | N = 274 | |||||
|
Covariates |
AOR
a
|
95% CI
b
|
p
|
AOR |
95% CI |
p
|
|
Predisposing variables
|
|
|
|
|
|
|
| Age |
1.00 |
0.96-1.05 |
0.873 |
0.93 |
0.87-1.01 |
0.058 |
| Ethnicity (Black African) |
1.48 |
0.89-2.46 |
0.131 |
1.96 |
0.90-4.29 |
0.091 |
| Education (Not completed high school) |
0.87 |
0.46-1.67 |
0.681 |
0.98 |
0.41-2.31 |
0.959 |
|
Enabling variables
|
|
|
|
|
|
|
| Relationship status (Reference married) |
|
|
|
|
|
|
| Boyfriend |
1.32 |
0.84-2.07 |
0.224 |
0.48 |
0.19-1.20 |
0.116 |
| Single |
1.36 |
0.57-3.26 |
0.486 |
0.30 |
0.03-2.67 |
0.282 |
| Income in the last 30 days |
0.98 |
0.94-1.02 |
0.378 |
0.95 |
0.79-0.96 |
0.039 |
| Family with drug problems (No) |
0.66 |
0.43-1.01 |
0.056 |
0.79 |
0.45-1.39 |
0.407 |
| Prior treatment (No) |
0.72 |
0.37-1.34 |
0.328 |
1.97 |
0.34-11.27 |
0.448 |
| Awareness of treatment (Yes) |
0.98 |
0.65-1.48 |
0.924 |
1.84 |
1.03-3.27 |
0.039 |
|
Health need variables
|
|
|
|
|
|
|
| CES-D |
1.28 |
0.92-1.15 |
0.626 |
1.14 |
0.99-1.33 |
0.079 |
| TCU anxiety |
1.08 |
0.86-1.34 |
0.517 |
1.41 |
1.06-1.87 |
0.020 |
| Physical health (poor) | 1.07 | 0.62-1.85 | 0.812 | 6.29 | 1.56-25.64 | 0.010 |
aAOR = adjusted odds ratio. All predisposing, enabling and health need variables were entered into the multiple logistic regression models.
b95% CI = 95% confidence intervals.
Discussion
This study is among the first to explore factors associated with perceived need for treatment among young, substance-using women in a low- and middle-income country. Unlike US studies that indicate only 11% to 15% of individuals who should obtain substance use treatment are likely to perceive a need for treatment [15,19-22], 46% of participants in this study conveyed a need for substance use treatment. This considerably higher level of perceived need for treatment is probably because all participants were enrolled in an integrated substance use and HIV risk reduction intervention and as a result may have been motivated to address their drug use. Nonetheless, a considerable proportion of participants with substance use problems did not think they needed treatment. As perceived need is a critical step in help-seeking for substance use disorders [12,13,20] and because it is necessary for positive treatment outcomes [18-20], these findings suggest that a substantial proportion of substance-using women from disadvantaged communities in Cape Town, South Africa may possibly benefit from brief interventions that build readiness to change and enhance perceived need for treatment.
In keeping with earlier studies [14,20-22] and with the BHSU theoretical framework [13], various health need variables were associated with perceived need for treatment among young women. Psychological distress increased the likelihood of young women conveying the need for substance use treatment. However, when the sample was stratified by methamphetamine use, psychological distress was only significantly associated with perceived need for treatment among participants who tested negative for methamphetamine use. Similarly poor physical health was only significantly associated with perceived need for treatment among participants with recent methamphetamine use. These findings were unexpected as participants who tested positive for methamphetamine had significantly more symptoms of depression and anxiety and were more likely to report poorer physical health than participants without recent methamphetamine use. These findings are in keeping with a large body of research which has demonstrated that people who use methamphetamine have poorer physical and mental health outcomes relative to people who use other types of drugs [4,6,18,37,38]. Among the enabling variables, income was significantly (albeit weakly) associated with perceived need for treatment for the overall sample, with the likelihood of recognizing a need for treatment increasing as income decreased. This is probably because income is a proxy indicator for socioeconomic stability [17,39] and socioeconomic instability related to substance use may lead to help-seeking [17,39]. Yet when the sample was stratified by methamphetamine use, this variable was only associated with treatment need among participants who tested negative for methamphetamine. These findings suggest that, at least for women without recent methamphetamine use, brief interventions to enhance perceived need for drug treatment should educate women about the negative health and socioeconomic consequences of continued drug use and how treatment can improve psychosocial functioning. Such interventions could potentially enhance women’s perceived need for treatment, although this hypothesis requires testing in a randomized controlled trial.
There are several possible explanations for why these health need and socioeconomic factors were not associated with perceived need for treatment among methamphetamine-positive women. First, it is possible that women who use methamphetamine interpret symptoms of mental illness and physical ill-health as short-term consequences of methamphetamine intoxication and withdrawal, and therefore might not find these symptoms as distressing or as compelling to address as women who use other drugs. Another possibility is that they may feel that methamphetamine helps them with cope with life stressors and psychiatric problems [30], thereby discounting the need for treatment. Third, the neurocognitive effects of methamphetamine [40] may limit women’s insight into how methamphetamine impairs psychosocial functioning. This in turn may negatively influence decision-making about the need for substance use treatment [39]. Regardless of the reason for these findings, our failure to find variables associated with perceived need for treatment among women who use methamphetamine point to the need for additional research in this population. In particular, qualitative research is needed to deepen our comprehension of the factors associated with perceived need for drug treatment among young women who use methamphetamine and how physical and mental health status impact on perceived need for drug treatment in the context of methamphetamine use. In addition, quantitative research is needed to explore whether cognitive deficits among methamphetamine users impact on perceptions of functional psychosocial impairment and perceived need for treatment.
In addition, having family members with drug problems decreased the likelihood of perceiving a need for treatment among the overall sample. Having family members with drug problems might normalize drug use within the family system, thereby diminishing individuals’ awareness of their own problematic drug use [39] and reducing the likelihood that family members will encourage and support help seeking for drug use [41]. As previous studies have noted that a lack of emotional and tangible social support for treatment-seeking impacts negatively on treatment initiation [11,30,42], interventions that provide women with emotional support for changing their drug use and tangible support (such as assisting with childcare and providing transport to appointments) could potentially address barriers to treatment entry [11] and enhance women’s perceived need for drug treatment, although this hypothesis requires testing.
Finally, a large proportion of our sample recognized that they needed treatment, indicating substantial unmet treatment need among young women from disadvantaged communities in Cape Town. Almost all of these participants wanted to go to treatment, with the majority willing to enter treatment within the next 30 days. However, close to half the sample were unaware of where they could obtain treatment. As awareness of treatment programs was associated with perceived need for treatment among women who were methamphetamine-negative, treatment programs should consider ways in which they can improve their visibility within disadvantaged communities. Programs that conduct community-based outreach and screening to identify women who perceive a need for drug treatment and to link them to care may be helpful in addressing this treatment gap.
To successfully link young substance-using women to treatment, more work needs to be done to ensure that available services are a good fit for this underserved population. In this study, prior treatment for a substance use disorder was not significantly associated with perceived need for treatment, even though this variable has been consistently associated with need for treatment in the USA [15,18,22]. This suggests that young women who had previously obtained treatment may not have experienced prior treatment as sufficiently helpful to perceive a need for these services again, despite returning to substance use. This is not surprising as earlier research has shown that women from disadvantaged communities in Cape Town have some concerns about the appropriateness and effectiveness of substance use treatment that limit treatment seeking [11,12]. Efforts to link young substance-using women to treatment therefore should engage young substance-using women in discussions about their treatment and other service needs and perceptions of what constitutes acceptable and appropriate treatment. Information generated from these discussions may guide treatment providers on how to improve the fit of their services for young women.
Interpretation of these findings should however be considered in the light of some limitations. First, this paper was based on baseline data from a larger substance use and HIV risk reduction study. The strict inclusion and exclusion criteria of this randomized field experiment may have biased our ability to recruit a representative sample of substance-using women from poor communities in Cape Town. Our sample is likely biased towards women who do perceive their drug use to be problematic as some women who were eligible for this study declined to enroll as they did not see the need for an intervention. While this bias might have led to an over-reporting of perceived need for treatment, the main aim of this study was to examine correlates of perceived need rather than assess the prevalence of perceived need for treatment among this underserved population. Related to this, our choice of variables for these analyses was limited to those included in the larger experiment. As such, we were unable to explore potential associations between substance use severity, functional impairment and social support on perceived need for drug treatment. Future studies should consider including a broader range of covariates, including covariates that may be specific to the experiences of women such as number of dependent children, availability of child care and quality of relationship with partner. Third, as the sample was recruited from poor communities within Cape Town, the extent to which findings can be generalized to other parts of the province or country is unclear. Finally, the cross-sectional nature of the data makes it difficult to disentangle whether psychological distress and socioeconomic factors preceded or followed problematic substance use. Either could impact perceptions of need for treatment. To address this limitation, future research should consider prospective designs that enable researchers to unpack the temporal associations between variables associated with perceived need for treatment and explore whether perceived need for treatment predicts treatment initiation. These prospective studies will also be able to shed light on the temporal stability of perceived need for treatment, an area that has been under-researched.
Conclusions
This study shows that a considerable proportion of young women who could potentially benefit from treatment for substance use disorders do not think they need treatment; highlighting the need for interventions that enhance perceived need for treatment among young women from poor communities in Cape Town, South Africa. Findings also reflect the need for interventions that link women who perceive a need for treatment to care. Such interventions should address the informational barriers that hamper treatment uptake as well as develop organizational readiness to provide appropriate and acceptable services to women with multiple service needs. A multi-pronged approach to improving treatment initiation among this vulnerable and underserved population is essential for reducing the public health burden of untreated substance use disorders in the region.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
BM was a co-investigator on the study and was responsible for planning the paper, conducting the analyses and writing and reviewing all aspects of the manuscript. TLK and IAD assisted with the statistical analyses and writing the methods and results. WMW, TC and TLK and IAD reviewed the draft manuscript and provided critical comments and approved the final draft. WMW is the principal investigator for this project and senior author on this paper. She takes responsibility for the integrity of the data and the accuracy of the data analysis. All authors read and approved the final manuscript.
Pre-publication history
The pre-publication history for this paper can be accessed here:
Contributor Information
Bronwyn Myers, Email: bmyers@mrc.ac.za.
Tracy L Kline, Email: tkline@rti.org.
Irene A Doherty, Email: idoherty@rti.org.
Tara Carney, Email: tcarney@mrc.ac.za.
Wendee M Wechsberg, Email: wmw@rti.org.
Acknowledgements
This study was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) R01 HD058320 (Wechsberg). The content of this manuscript care solely the responsibility of the authors and do not necessarily represent the official views of the NIH. The NIH had no further role in the study design; in the collection, analysis and interpretation of data; in the writing of the paper; or in the decision to submit the paper for publication.
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