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SAMJ: South African Medical Journal

On-line version ISSN 2078-5135
Print version ISSN 0256-9574

SAMJ, S. Afr. med. j. vol.109 n.10 Pretoria Oct. 2019

http://dx.doi.org/10.7196/samj.2019.v109i10.13586 

RESEARCH

 

Characteristics and drinking behaviour of patients on antiretroviral therapy who drink and attend HIV clinics in Tshwane, South Africa: Implications for intervention

 

 

C D ParryI, II; M LondaniIII; P A ShuperIV, V, VI; B MyersI, VII; C T KekwaletsweVIII; S NkosiIX; N K MorojeleX, XI, XII

IPhD; Alcohol, Tobacco and Other Drug Research Unit, South African Medical Research Council, Cape Town, South Africa
IIPhD; Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
IIIMSc; Alcohol, Tobacco and Other Drug Research Unit, South African Medical Research Council, Pretoria, South Africa
IVPhD; Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Canada
VPhD; Dalla Lana School of Public Health, University of Toronto, Canada
VIPhD; Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Mansfield, Conn., USA
VIIPhD; Department of Psychiatry and Mental Health, Faculty of Health Sciences, University of Cape Town, South Africa
VIIIPhD; Alcohol, Tobacco and Other Drug Research Unit, South African Medical Research Council, Pretoria, South Africa
IXMA; Alcohol, Tobacco and Other Drug Research Unit, South African Medical Research Council, Pretoria, South Africa
XPhD; Alcohol, Tobacco and Other Drug Research Unit, South African Medical Research Council, Pretoria, South Africa
XIPhD; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
XIIPhD; School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, South Africa

Correspondence

 

 


ABSTRACT

BACKGROUND. Patients on antiretroviral therapy (ART) who drink alcohol are at risk of poor medication adherence and negative health outcomes.
OBJECTIVES. To explore the drinking behaviour of patients on ART and assess the associations between drinking, adherence to ART and viral load, and in particular factors associated with binge drinking (>6 drinks per occasion) at least monthly.
METHODS. We recruited 623 HIV patients from six hospitals in the Tshwane metropole who scored positive on the Alcohol Use Disorders Identification Test (AUDIT-C) but were 'non-dependent' drinkers into a randomised controlled trial. This article reports on baseline data.
RESULTS. Of the patients, 51% reported drinking in the past week, 60% of men and 33% of women consumed >6 standard drinks on a typical drinking day, and 19% of men and 5% of women were identified as drinking at harmful levels. Over a quarter reported having a friend or relative, or a doctor or other healthcare worker, express concern about their drinking or suggest that they cut down. AUDIT total scores were significantly negatively correlated with self-reported adherence to ART and positively correlated with viral load. Number of years on ART was not significantly associated with binge drinking. Persons who were employed part time (odds ratio (OR) 1.474) or were self-employed (OR 2.135) were more likely to binge-drink than unemployed persons. Beer drinkers (OR 1.716) were more at risk for binge drinking than non-beer drinkers, and persons who drank monthly or less (OR 0.053) or 2 - 4 times a month (OR 0.168) were less at risk for bingeing than those who drank >4 times per week.
CONCLUSIONS. The high volume of alcohol consumed per occasion by patients on ART, especially beer and spirits drinkers, is a concern. Interventions that address structural drivers of heavy drinking and target HIV patients at risk of heavy drinking are needed.


 

 

Over the past few years, South Africa (SA) has seen a dramatic increase in the provision of antiretroviral therapy (ART) to persons living with HIV and AIDS (PLWHA). Approximately 4.4 million persons are receiving ART in SA (71% of persons who know their HIV status), and the goal is to increase this figure to 90% of all PLWHA by 2020.[1,2] Most PLWHA (85%) receive their medications through public sector facilities.[3] While this places a substantial burden on heath sector logistics and the health budget,[4] it has decreased the annual number of deaths from HIV and AIDS and improved the quality of life of many PLWHA.[5,6

Many factors can affect a patient's adherence to ART, including adherence self-efficacy, satisfaction with the health service provider, and concerns about ART. Substance use, especially alcohol use, also influences PLWHAs adherence to ART.[7-9] Non-adherence to ART contributes to patients having a higher viral load.[10] SA has been identified as a country with one of the highest levels of heavy drinking globally.[11] A recent general population survey in one metropolitan area in the country, Tshwane, found that over 90% of the consumption of absolute alcohol there took place during heavy drinking occasions, defined as 8 drinks of 15 mL (12 g) for men and 6 drinks for women.[12]

However, fairly little is known about the drinking behaviours of patients on ART in SA,[13] including in the Tshwane metropole in Gauteng Province. One cross-sectional survey, conducted in two HIV clinics in Tshwane, found that the Alcohol Use Disorders Identification Test (AUDIT)[14] scores of half the male and three-quarters of the female drinkers were indicative of hazardous or harmful drinking. For a third of the participants adherence to ART fell below the generally acceptable level of 95%, and there was a trend towards a lower proportion of participants with high ART adherence as the quantity of alcohol use increased.[15] Research conducted in other parts of the country has found even higher levels of problem drinking in this patient population. For example, a study among HIV clinic attendees in Cape Town (most of whom were on ART) found hazardous or harmful alcohol consumption in ~9 out of 10 drinkers screened with the AUDIT.[16]

It has been proposed that hazardous alcohol consumption or binge drinking decreases overall survival of PLWHA by >3 years if frequency of such consumption is once a week or more, and by 6.4 years with daily consumption.[17] Compared with beer and wine, consumption of spirits has been found to be associated with poor virological and immunological control in patients on ART. [18] Given these findings, it would be useful to identify how often patients on ART in SA drink, how much they drink, and what they are consuming. Better information is also needed regarding the effect of alcohol use on viral load and ART adherence. Another important question to investigate is whether length of time on ART is predictive of drinking behaviour. This point is important because research has shown that increased drinking, at least in women on ART, is associated with a decreased likelihood of adherence and viral suppression.[19] Frequency and quantity of alcohol consumption may well increase over time as patients start to feel better on ART. All this information may help inform treatment and management guidelines for patients on ART who drink in a part of the world not known for its moderate consumption of alcohoU[11]

In 2014, the South African Medical Research Council funded a randomised controlled trial to determine the efficacy of an alcohol-focused intervention for improving adherence to ART and HIV treatment outcomes.[20- For the present study we used baseline data from this study to: (i) describe the drinking behaviour of patients who drink while on ART and selected health consequences; (ii) assess the associations between binge drinking and adherence to ART and viral load; (iii) assess whether patients who had been on ART longer were more at risk for negative drinking outcomes; and (iv) in particular, assess whether binge drinking among PLWHA on ART is associated with particular demographic characteristics, their frequency of drinking, and the type of alcohol consumed.

 

Methods

Design

The methodology of the larger study is described in detail elsewhere.[20]The data reported on in this article come from cross-sectional baseline data collected after participants were first recruited into the study.

Participants and procedures

Study participants were recruited at ART clinics in four district and two tertiary hospitals in Tshwane. Inclusion criteria were as follows: being HIV-positive; being on ART for at least 3 months; not currently being on treatment for tuberculosis; being >18 years old; being a current (past year) harmful/hazardous drinker (not dependent) as measured by the AUDIT-C[21] (AUDIT-C score >4 for men and >3 for women, but total AUDIT[14] score <23); being resident in/around Tshwane; not being enrolled in another trial; and not having extremely poor general health/ functional status (Karnofsky clinical score >50).[22,23]

Fieldworkers approached all patients seen at the ART clinics for eligibility screening. The patients were requested to give consent for both the initial screening and, if eligible, participation in the main study. The questionnaires were administered by trained fieldworkers in a private space and blood was collected by phlebotomists to assess viral load. Viral loads between 51 and 999 copies/mL are deemed detectable and viral loads >1 000 copies/mL as indicative of risk of treatment failure.

Participants received a grocery voucher of ZAR80 (~USD6.50) for their time and participation in these interviews. Ethical approval for the study was granted by the Ethics Committee of the South African Medical Research Council (ref. no. EC003-2/). Permission for the study was obtained from the hospitals, the health districts and Gauteng Province. The larger trial was registered by the Pan African Clinical Trials Register (ref. no. PACTR201405000815100).

In total, 3 054 PLWHA were screened across the six facilities and 2 085 (442 men and 1 643 women) were screened out because they did not meet the drinking criteria for inclusion in the study. This means that they scored below or above the cut-off levels on the AUDIT-C/AUDIT. Of the 3 054 PLWA screened, 848 were found to be eligible for participation. Of these, 623 were finally enrolled at baseline. Of the patients who were eligible, 225 were not enrolled for a variety of reasons: not answering their phones; no longer being interested in participation; they had relocated; they confirmed but did not arrive for their appointment; or they could not get time off work. One patient died, one was wrongly enrolled, and one withdrew before completing the baseline assessment.

Assessment tools

Among the questions in the survey instrument'[20] were demographic questions (age, gender, marital status, education, employment, sources of income, monthly income) and years on ART. We included the full 10 items of the AUDIT.[14] Particular attention was given to three quantity frequency questions from the AUDIT, but focusing on the past 3 months rather than the past 12 months so that we could compare the AUDIT results at the 3-month and 6-month follow-up points with baseline: 'How often do you have a drink containing alcohol?', 'How many standard drinks containing alcohol do you have on a typical day when drinking?', and 'How often do you have 6 or more drinks on one occasion?' In addition, we asked the subjects when they last consumed alcohol in the past 3 months, the types of alcohol usually consumed (past-month drinkers), and the largest number of drinks consumed on a single day. With regard to consequences of drinking, we focused on the last seven items from the AUDIT (see Table 3). The instrument also included various questions about adherence to ART, including the visual analogue scale (VAS), which assesses general levels of adherence over a 30-day timeframe and requires respondents to place a mark on a visual scale going from 0% to 100%.'241

Data analysis

Data analysis included the provision of descriptive statistics, frequency tables and cross-tabulations with χ2 tests of association. Spearman's rank correlation was used to assess correlations between total AUDIT scores and viral load, adherence to ART and years on ART because of the non-normality of the variables of interest. In order to identify factors associated with monthly or more frequent binge drinking (>6 drinks on at least one occasion), variables found in bivariate analyses to be significantly associated at p<0.05 with binge drinking were entered into multiple logistic regression using forward stepwise selection of independent variables according to the Wald method. For this analysis we used Stata vce(cluster site) (Stata Statistical Software release 14; StataCorp, USA) in order to control for the cluster sampling of the six hospitals. All other analyses were performed using SPSS v25 (IBM, USA) and did not control for cluster sampling of the hospitals.

 

Results

Demographic characteristics and years on ART

Of the 623 study participants, over half were female (58%), had never married or were currently single (53%), had completed primary school but not grade 12 (53%), and earned <ZAR1 600 per month (52%) (Table 1). Their mean (standard deviation (SD)) age was 41 (9.07) years (range 18 - 73), the rate of unemployment was high at 42%, and they had been on ART for a mean (SD) of 7 (3.65) years (range 0 - 19).

Drinking behaviour

Just over half of the study participants (51%) had consumed alcohol in the past week, with a high proportion reporting that they typically drank beer (52%), cider (47%) and wine (32%) (Table 2). Even though frequency of consumption was relatively low, the volumes consumed on a typical drinking day were very high, with 87% reporting consuming at least 5 drinks and 18% reporting drinking as many as 10 drinks per occasion. The largest number of drinks consumed on a single day in the past 12 months was also high, with 37% reporting drinking a minimum of 12 drinks. More than a third (37%) reported at least monthly binge drinking, defined as drinking at least 6 drinks on one occasion in the past 6 months.

Based on their AUDIT scores, just under half of the study participants were defined as low-risk drinkers, while 40% could be categorised as hazardous drinkers and 11% as harmful drinkers. Significant gender differences were noted with regard to drinking behaviour, with men more likely to have drunk alcohol more recently and to drink at greater volumes. In contrast to men, who were likely to consume beer, spirits and homebrews, women typically consumed cider, wine, coolers and liqueurs. AUDIT total scores ranged from 2 to 28, with a mean (SD) of 8.88 (4.74). Greater proportions of women than men were classified as lower-risk drinkers according to the AUDIT, and greater proportions of men than women were categorised as hazardous and harmful drinkers (Table 2).

Selected consequences of drinking

The last seven items of the AUDIT questionnaire revealed a number of negative consequences associated with drinking among study participants (Table 3). Of particular note was the high proportion (16%) reporting having feelings of guilt or remorse at least monthly after drinking. In addition, over a quarter (26%) reported having had a relative or friend, or a doctor or other healthcare worker, express concern about their drinking during the past year or suggest that they cut down.

Viral load, self-reported adherence to ART, years on ART and association with total scores on the AUDIT

Fourteen percent of study participants showed evidence of not being virally suppressed, i.e. had viral loads >1 000 copies/mL (14.5% of men and 13.4% of women). Just under 10% (9.6%, 13.3% of men and 6.8% of women) had detectable viral loads (i.e. 51 - 999 copies/ mL). Women were significantly more likely than men to be virally suppressed (χ2=7.29; p=0.026). Self-reported adherence to ART over the past month using the VAS averaged 92.4% (SD 13.49, range 0 - 100).

A statistically significant but small positive correlation was found between participants' viral loads and their total AUDIT score (Spearman's r=0.112; p=0.010). In contrast, a statistically significant negative correlation (Spearman's r=-0.227) was found between VAS adherence scores and total scores on the AUDIT. Years on ART was not found to be statistically correlated with total AUDIT scores (Spearman's r=-0.065; p=0.117).

Variables associated with monthly binge drinking

The following variables were found in bivariate analyses to be associated with monthly binge drinking: gender, i.e. being male (p=0.000); current employment situation, i.e. being employed (p=0.000); drinking beer (p=0.000), cider (p=0.002), spirits (p=0.000) or homebrews (p=0.034); and drinking frequency (p=0.000) (Table 4). The results of the multiple logistic regression model are presented in Table 5. Persons who were employed part time or were self-employed were 47% and 114% more likely to binge drink than unemployed persons. Beer drinkers were 72% more likely than non-beer drinkers to engage in monthly binge drinking. Persons who drank monthly or less often were 5.3% as likely to engage in monthly binge drinking as persons who drank >4 times per week, and persons who only drank 2 - 4 times per month were only 17% as likely to engage in monthly binge drinking as persons who drank >4 times per week.

 

Discussion

This study highlights the high level of binge drinking among non-dependent drinkers on ART attending HIV clinics in Tshwane, SA. In broad terms, being employed increased the risk for ART patients who drink of being binge drinkers. Consumers of beer were significantly more likely to be binge drinkers than patients whose usual drink was not beer. Frequency of drinking was also related to risk of binge drinking, with patients who drank monthly or less or only 2 - 4 times a month being less at risk of bingeing than patients who drank >4 times per week. In terms of HIV treatment-related consequences of drinking, AUDIT total scores were significantly negatively correlated with self-reported adherence to ART and positively correlated with viral load.

Just over half of the hazardous/harmful drinkers attending ART clinics in Tshwane reported drinking in the past week, with beer, wine and cider being the most common drinks usually consumed. These findings mirror what was found among drinkers in a representative community survey of adult drinkers in Tshwane in 2014, where 49% reported drinking at least weekly and 46% reported beer as their most commonly consumed drink, followed by cider (20%), spirits (15%) and wine (14%).'251 Ten percent of participants in the current study reported weekly or more regular consumption of >6 drinks on an occasion, and 1.6% of men reported daily binge drinking at this level. This is of concern given that research has found that hazardous alcohol consumption decreases overall survival of PLWHA by >3 years if frequency of such consumption is once per week or more, and by 6.4 years with daily consumption.[17] There are various mechanisms through which drinking by PLWHA on ART may increase the risk of mortality, the most obvious being that drinking, and especially binge drinking, has a negative effect on compliance with ART regimens. HIV and alcohol consumption both modulate innate and adaptive immunity, and drinking by PLWHA increases the possibility of viral replication and the likelihood of contracting opportunistic infections and developing other co-morbid conditions. [7] In addition, the medications used to treat opportunistic infections and other comorbid conditions interact with alcohol. Both ART medications and alcohol are metabolised by the liver, and alcohol-related liver toxicity results in compromised liver function. ART medications may therefore not work optimally in heavy drinkers, and they are also at increased risk of toxicity from ART.[7,26]

The finding that AUDIT total scores were negatively correlated with adherence and positively correlated with viral load was to be expected.'[7,26] Eighty-six percent of study participants (86.6% of women and 85.6% of men) were virally suppressed. National percentages in SA for viral suppression among PLWHA currently on ART are 88% for both genders,'21 ~2% higher than in our sample of PLWHA on ART who were non-dependent drinkers.

This finding raises concerns both at a patient level, given the effect of viral load on the infectivity of PLWHA and the generally acceptable level of ART adherence of 95%,[7,15,26] and at a societal level, given the national investment in ART in SA and the risk that resistance to ART will be increased.'11 It is possible that some of our study participants could have had high viral loads because they were not yet stabilised on the correct ART regimen, but given that more than three-quarters of the study participants had been on ART for at least 4 years, this is a less likely explanation for these findings than alcohol consumption.[26] It was, however, encouraging that years on ART was not found to be associated with binge drinking, suggesting that patients on ART do not increase their levels of drinking as their health starts to improve on ART.

The finding that that some groups of employed individuals on ART are more likely to engage in binge drinking than unemployed persons could be due to the fact that they had more disposable income. This hypothesis is supported by the trend that problematic drinking was higher among employed persons in the 2008 South African HIV, Incidence, Behaviour and Communication Survey.[27] The finding that beer drinkers on ART had significantly higher odds of binge drinking than non-drinkers of beer is also to be expected, given the large amounts of money spent by alcohol manufacturers on marketing of beer, and the particular kinds of marketing in SA that link consumption of beer to social and financial success.[28,29] In 2016, of total above-the-line advertising on alcohol in SA, 47% was spent on beer.[30- In addition, beer in SA is mostly sold in large containers holding in excess of two standard drinks, i.e. quart (750 mL) and 660 mL returnable bottles. In 2017 South African Breweries Ltd introduced a 500 mL can of Carling Black Label beer sold at the same price as its 440 mL cans.[31] The same company in 2017 also launched its 'Ama 1 litre' Black Label bottle of beer. Increasing container size has had the effect of making beer more affordable, and it has also been argued that excise tax increases on beer in SA are differentially passed on to consumers according to packaging type, with a large proportion of the increase in excise taxes each year being carried by wealthier consumers of 340 mL cans of beer and the converse occurring for larger container sizes.[32] Moving to larger container sizes is likely to have the effect of encouraging the purchasing of beer in larger container sizes. While there is little information on the effect of selling beer in containers of different sizes, research has shown that selling wine in larger containers is associated with increased consumption[33] and symptoms of alcohol problems as measured by the CAGE questionnaire.[34]

Not only did the present study reveal high levels of binge drinking among many PLWHA on ART who were attending ART clinics in Tshwane, but ~16% of participants in the study reported feeling guilt or remorse after drinking and 1 in 4 indicated that during the past 12 months a relative or friend, or a doctor or another healthcare worker, had been concerned about their drinking or suggested they cut down. However, it is possible that this concern could have been because they were on ART. These findings support the goals of the main study,[20-i.e. to test the efficacy of a blended motivational interviewing and problem-solving alcohol-focused intervention for hazardous and harmful drinking among PLWHA on ART, and the findings of an earlier pilot study.[13]

Formative work undertaken as part of the roll-out of this project found that a third of drinkers on ART in selected HIV clinics in Tshwane reported hazardous drinking and 10% harmful drinking, and that a further 10% were possibly dependent on alcohol.[17- It furthermore pointed to the need for more routine screening of patients on ART to assess problem alcohol use.[17] The findings of the present substudy confirm the need to ask HIV patients on ART questions about binge drinking and frequency of alcohol use, and specifically about their use of beer. The findings regarding the link between alcohol use (AUDIT total scores) and adherence to ART and viral load require further investigation to unpack the nature of the link and, if needed, interventions likely to be effective in improving ART adherence and decreasing viral load among HIV patients on ART who drink. These topics will be addressed in forthcoming articles.

Study limitations

The present study and the data presented in this article are subject to a number of limitations. First, the study was confined to the Tshwane metropole, and as a result the findings may not be generalisable to other parts of SA. Second, the sampling frame was limited to PLWHA on ART who scored in a certain range on the AUDIT-C and AUDIT. Furthermore, screening of patients was not universal and patients who met the study criteria had to agree to take part. As a result, the sample may not be entirely representative of all patients attending these clinics. A third limitation relates to the fact that the study was cross-sectional, and as a result causality was not proved. It is possible, for example, that having a high viral load causes people to drink more and therefore to have a higher total AUDIT score, or that not adhering to medications (perhaps because they make people feel worse) results in HIV patients drinking more, rather than the other way around. However, from a biological perspective these explanations are less likely than poor adherence and high viral load being an outcome of higher levels of alcohol consumption.[26]We also only looked at 'usual' or alcoholic beverage of choice, and did not take into account the fact that people often drink more than one beverage type. To do this would probably have required a larger sample size, but may have produced more nuanced findings. Finally, the data reported on in this study relied on self-reported drinking and on a single measure of adherence, the VAS.[24] Neither of these methods is optimal, but a biomarker for alcohol (dried blood spots to test for phosphatidylethanol, a biomarker of alcohol use) was collected as part of the study,[20] and we used three other self-report measures of adherence. Furthermore, although adherence was based on self-report, we did have viral load data, an objective outcome that is an indicator of adherence. In addition, supplementary research was undertaken to assess ART concentrations/exposure as measures of adherence using hair and blood. These will be reported on as part of further analyses of the dataset.

 

Conclusions

The high levels of binge drinking by ART patients in this sample from Tshwane, SA, especially among beer and spirits drinkers, are of concern given the effect of heavy drinking on ART adherence and viral load that may undermine the national investment in ART. There appears to be a 'perfect storm' that continues to fuel the HIV epidemic in SA, in that there are heavy users of alcohol who have poor adherence to ART, and who therefore have increased viral loads. The findings support goals of the larger randomised controlled study[20] to intervene to reduce drinking levels among patients on ART and the frequency of their drinking.

Declaration. None.

Acknowledgements. We acknowledge funding from the South African Medical Research Council (Flagship Research) for the study referred to and for our (CDP, ML, BM, CTK, SN, NKM) time in preparing this manuscript. We also acknowledge (incentive) funding from the South African National Research Foundation (CDP). We are grateful to the field staff for collecting data for this study, to Frans Masango, Elizabeth Mamarigane, Shumani Makatu and Ruth Bokaba for supervising the data collection procedures, and to Elmarie Nel, Eileen Rich and Naledi Kitleli for supervising field personnel and assisting with research-related administrative processes. We also thank the staff at each of the clinic sites for granting permission for the study to be carried out. Finally, we thank the HIV patients at each site who gave their time to take part in the research.

Author contributions. CDP is the principal investigator (PI) on this project and wrote the first draft of the manuscript with the assistance of ML, who conducted the statistical analyses, and all other authors, who wrote sections of the manuscripts and commented on the entire manuscript. NKM is the co-PI on the project and also oversaw the collection of the data with CK and SN.

Funding. None.

Conflicts of interest. None.

 

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Correspondence:
C D Parry
cparry@mrc.ac.za

Accepted 1 August 2019

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