Skip to main content
Download PDF

Unpacking the dynamics of double stigma: how the HIV-TB co-epidemic alters TB stigma and its management among healthcare workers

BMC Infectious Diseases volume 20, Article number: 106 (2020) Cite this article

Abstract

Background

HIV and tuberculosis (TB) are intricably interlinked in South Africa. The social aspects of this co-epidemic remain relatively unexplored. More specifically, no research has quantitatively explored the double stigma associated with HIV and TB in this context, and more specifically the impact of the co-epidemic on [1] the stigmatisation of TB and [2] the TB stigma mangement strategy of covering (i.e. the use of TB as a cover for having HIV). The current study aims to address this research gap by disentangling the complex mechanisms related to HIV-TB stigma.

Methods

Using Structural Equation Modelling (SEM), data of 882 health care workers (HCWs) in the Free State province, South Africa, are analysed to investigate the link between the stigmatization of HIV and TB and the stigma management by those affected. The current study focuses on health care workers (HCWs), as both TB and HIV have a severe impact on this professional group.

Results

The results demonstrate that the perceived link between the epidemics is significantly associated with double HIV-TB stigmatization. Furthermore, the link between the illnesses and the double stigma are driving the stigmatization of TB. Finally, the link between HIV and TB as well as the stigmatization of both diseases by colleagues are associated with an increased use of covering as a stigma management strategy.

Conclusions

This is the first quantitative study disentagling the mediating role of double stigma in the context of the co-epidemic as well as the impact of the co-epidemic on the social connotations of TB. The results stress the need for an integrated approach in the fight against HIV and TB recognizing the intertwined nature of the co-epidemic, not only in medical-clinical terms, but also in its social consequences.

Trial registration

South African National Clinical Trials Register, registration ID: DOH-27-1115-5204. Prospectively registered on 26 August 2015.

Peer Review reports

Background

HIV/AIDS and tuberculosis (TB) have merged into a deadly co-epidemic in South Africa. In absolute numbers, the country has the highest number of people living with HIV (7.0 million in 2016) [1,2,3,4]. In addition, it has one of the most severe TB epidemics in the world, with the highest incidence of TB (834 per 100,000 in 2015) and 19,613 reported cases of multi-drug resistant TB in 2015 [5]. Both epidemics are intricately intertwined: approximately 73% of TB cases are co-infected with HIV [6].

Ample research has addressed the clinical and health system challenges of the HIV and TB co-epidemic [7, 8], but – as Daftary (2012) rightfully pointed out – “the social aspects remain relatively unexplored” [9], especially the potential stigma associated with HIV and TB in a setting confronted with this dual epidemic. Evidence-based knowledge on the double stigma generated by the interlinked nature of both epidemics is urgently needed as both HIV and TB stigma have been individually extensively associated with non-disclosure [10,11,12], delayed health care [13,14,15,16], and ultimately worse (physical and psychological) health outcomes [10, 14, 17,18,19,20,21].

TB/HIV stigma

Most studies on stigma, including those on HIV and TB stigma, are rooted in the work of Erving Goffman. He defined stigma as a discrediting social label that changes an individual’s self-image and disqualifies him or her from full social acceptance [22]. Goffman’s essay generated a plethora of research applying the concept to a wide range of circumstances, ranging from homosexuality to cancer, often with considerable variation in the concept’s definition, rendering it vulnerable to the critique that the stigma concept was too vaguely defined [23]. As a response, a more recent conceptualization by Link and Phelan (2001) narrows Goffman’s broad conception of stigma to the co-existence of its defining components, namely labeling, stereotyping, separation, status loss, and discrimination, all within a context in which power is exercised [24, 25].

The concept of stigma has been profusely applied to both HIV and TB. However, there has been little research on how the interlinked natures of the HIV and TB epidemics have impacted the stigmatization of both illnesses [9, 26,27,28]. Even fewer studies have investigated the occurrence of a “new” double stigma, despite Bond and Nyblade stating that “TB stigma can no longer be thought of, or addressed, separately from HIV stigma” and encouraging researchers to study and disentangle this double or compound stigma of HIV and TB [26].

A seminal article that responded to this call and addressed the construction and management of this double stigma was written by Daftary [9]. In this article, in-depth qualitative work examined the lived experience of co-infection with HIV and TB from the perspective of those affected in KwaZulu-Natal, South Africa. In the country, the co-epidemic renders TB not only symbolic, but also symptomatic of HIV [26, 27]: the symptoms associated with TB (e.g. weight loss) are also symptomatic of HIV, providing “impetus to the construction of overlapping dual stigmas” [9]. Evidence indicates that each raises different degrees of stigma, whereby TB appears as temporary and blameless while HIV is culpable and permanent. The stigmatization of HIV was thus greater than that of TB [9].

However, the confluence of both epidemics alters the situation: TB patients have emerged as a vulnerable group as the co-epidemic – in the current research setting, South Africa’s Free State province, 3 out of 4 TB cases with a known HIV status are HIV-positive [29] – renders them easy targets of HIV-related stigmatization. The negative affects normally associated with HIV are thus now – in the context of the co-epidemic – being transferred to TB. In a final step, Daftary [9] connected [1] the interlinked nature of both epidemics and [2] the resulting construction of overlapping – double – stigmas to [3] the social act of “covering” [9, 22]. “Covering” is a social act whereby people deflect attention away from a dominant stigmatizing attribute (in this case, HIV) by drawing attention to something more socially acceptable or less stigmatized (in this case, TB) [9, 22].

Despite the fact that several authors have asserted that, in the context of the co-epidemic, TB stigma cannot be studied separately from HIV stigma, there are – to the best of our knowledge – no quantitative studies attempting to disentangle this new compound or double stigma and its associations with TB stigma and TB stigma management. The current study aims to address this research gap by unraveling a range of concepts that are related to this double stigma. More specifically, we intend to build a model that represents social reality, linking the concepts raised by previous in-depth qualitative work, namely the link between HIV and TB, between the stigmatization of HIV and TB (double stigma) and the impact this has on the stigmatization TB and finally the potential reaction by those affected (covering). In other words, we expect that the epidemiological link between the 2 diseases results in a link between the stigmas (copying netagive connotations of HIV to TB), which in turn stimulates the stigmatization of TB and impacts on the reactions of those affected by the co-epidemic – i.e., by hiding a potential HIV-positive status with TB (covering).

Health care workforce

The current study focuses on health care workers (HCWs) as the dual burden of TB and HIV has a severe impact on these professionals. Occupational exposure to TB constitutes a major health risk for HCWs [30, 31], especially in resource-constrained settings where large patient numbers and resulting overcrowded health facilities combined with poorly implemented infection control strategies render HCWs three times more likely to acquire TB than the general population [11, 32]. Consequently, TB is officially classified as an occupational hazard. The HIV epidemic equally affects the workforce because of the mutually reinforcing epidemiology of HIV and TB: estimates of the HIV prevalence among South African HCWs range from 11.5 to 20.0% [33].

In this context, workplace health services for HIV and TB are an essential part of any health system strengthening strategy [34]. Research has demonstrated that providing HIV and TB services to HCWs at work – in the occupational health unit (OHU) – is cost-effective and preferred by the majority of HCWs [35, 36]. Accordingly, a joint World Health Organization-International Labor Organization-UNAIDS policy document on the provision of TB and HIV prevention and care for HCWs explicitly recommends the on-site availability of such occupational health services for the entire workforce so that full access to HIV and TB prevention, treatment, care, and support can be attained for this vulnerable group [37].

However, a review paper demonstrated that HIV- and TB-related stigma and discrimination are “key barriers to both the delivery of quality health services by health providers and to their utilization by community members and health providers themselves” [38]. Stigmatization in the health care setting can thus have severe implications for HCWs and health facilities when HIV-positive/TB-infected HCWs delay or avoid care, causing increased morbidity and mortality and further strain on an overburdened health system [38]. It is thus important to include not only the respondent’s stigmatizing attitudes, but also the perceived stigmatizing attitudes of colleagues, as these may shape the views and behaviors of the participating HCWs.

This unique position of the health care workforce – bearing the burden of the co-epidemic on the front line of the health system while being at risk of contracting HIV and/or TB and consequent HIV and TB stigmatization – renders a quantitative study on double HIV-TB stigma among HCWs a clear research priority [11]. The current research thus aims to study (1) the interlinked nature of both epidemics and (2) the resulting construction of overlapping double stigmas (by the respondent and by colleagues) to (3) the stigmatization of TB (by the respondents and by colleagues) as well as (4) the resulting social act of “covering” in a sample of 882 HCWs in the Free State province of South Africa.

Methods

The current study aims to explore the dynamics of double stigma and its impact on TB stigma (management) among HCWs by analyzing the baseline data of a cluster randomized controlled trial – the HIV and TB Stigma among Health Care Workers Study (HaTSaH study). The study was approved by the Ethics Committee of the Faculty of Health Science of the University of the Free State (ECUFS 55/2015) and the Ethical Committee for the Social Sciences and Humanities of the University of Antwerp (SHW-15-28-03).

The overarching HaTSaH study aims to (1) scientifically assess the extent and sources of HIV- and TB-related stigma among the health care workforce and (2) develop and test evidence-based stigma-reduction interventions. For this goal, a study sample of 882 HCWs – both clinical staff (446) (doctors and nurses) and non-clinical staff (436) (e.g. messengers, cleaners, and administrators) – working in 8 hospitals in the Free State was drawn from the health care workforce register. The questionnaires were in Afrikaans, Sesotho or English. After obtaining written informed consent from all participants, trained field workers provided the participants with the standard questionnaires that were completed in a self-administered process. Where literacy was low, the fieldworkers read the questions aloud, but they were answered independently.

Measures

The current study aims to build a model that represents social reality, linking the concepts raised by previous in-depth qualitative work, namely:

  • the link between HIV and TB (HIV-TB)

  • the double stigma (HIV and TB) by the respondent (DS-R)

  • the perceived double stigma (HIV and TB) by colleagues (DS-C)

  • the stigma toward TB by the respondent (TBS-R)

  • the perceived stigma toward TB by colleagues (TBS-C)

  • the stigma management strategy of covering

The interlinked nature of the HIV and TB epidemics (HIV-TB) was measured by a scale with three items (“TB is a sign that someone has HIV”; “Someone with TB has probably also got HIV”; and “TB symptoms make HIV more noticeable”), each rated on a four point Likert scale indicating strong agreement, agreement, disagreement, or strong disagreement.

The interlinked nature of the stigmas as defined by the respondent (the Double Stigma by the Respondent, or DS-R) was measured by 1 item, namely “Someone who has TB should feel equally guilty about it as someone who has HIV,” – also rated on a four-point Likert scale.

The perceived interlinked nature of HIV and TB stigmatization by colleagues (perceived Double Stigma by Colleagues, DS-C) was measured by two items on a four-point Likert scale (“People are afraid of working together with someone who has TB because they think that the person also has HIV” and “People with TB tend to be treated badly because they may have HIV”).

The study also expects a significant impact on the perceived link between HIV and TB (HIV-TB) and between the stigmas (DS-R) on the stigmatizing attitudes and behavior toward TB. We therefore included a scale measuring the respondent’s stigmatizing attitudes toward TB (TBS-R, 2 items). In addition, we also expect a significant impact on the perceived link between HIV and TB and between HIV and TB stigmatization by colleagues (DS-C) on the perceived stigmatizing attitudes and behavior toward TB (TBS-C, 5 items) by colleagues. We consequently also included a scale measuring the colleagues’ stigmatizing attitudes toward TB (TBS-C, 2 items). The reliability and validity of these two scales measuring the respondent’s and colleagues’ stigma toward TB were reported in previous publications - where TBS-R, TBS-C were respectivelay labelled TB-RES and TB-OES [39,40,41].

The social act of “covering” was measured by two items, namely “If I was diagnosed with HIV then, in order to hide my HIV status, I would say that I have TB” and “If I was diagnosed with both TB and HIV I would only tell that I have TB,” each rated on a four point Likert scale. This social act is phrased in a conditional manner as we do not know the responding HCWs’ HIV or TB status.

As we expect that the TB-HIV co-epidemic has linked TB stigma to HIV stigma, we have to control for (1) respondent’s and (2) colleagues’ stigmatizing attitudes towards HIV. We included two scales measuring the respondent’s (HIVS-R, 4 items) and the collagues’ (HIVS-C, 4 items) stigmatizing attitudes toward HIV as we expect a significant impact of the perceived link between HIV and TB (HIV-TB) and between the stigmas (DS-R) on (1) the respondent’s and (2) the colleagues’ stigmatizing attitudes and behavior toward HIV.

In order to model social reality as closely as possible, a number of additional control variables are included in our analyses. The survey included a series of socio-demographic questions (age and sex). As we expect differences in various dependent variables between HCWs with medical training (nurses and doctors) and HCWs without any formal medical training (clerks, cleaners, administrators, etc.), this study will also include a measure of the professional category of the HCW (medical staff vs non-medical staff). In addition, this study includes the HIV- (10 items) and TB-related knowledge (10 items) of the health care workforce as the literature has repeatedly shown a link between knowledge and stigma [42, 43]. Finally, previous research [38, 44] clearly indicates that links exist between stigma and confidentiality. This survey thus included a question on confidentiality in the workplace: “In the last 2 years, have you personally ever witnessed an occupational health nurse in this hospital failing to keep confidentiality about the health status of another health care worker? (For example: gossiping about the health status of a health care worker).” Finally, the study also controlled for potential hospital effects arising from the cluster RCT design.

Analytic strategy

Structural equation modeling (SEM) was used to measure the interrelationships between (1) the perceived interlinked nature of the two epidemics (HIV-TB), (2) the reported double stigmatization by the respondent (DS-R), and (3) the perceived double stigmatization by colleagues (DS-C) as well as the association of (1), (2), and (3) with the stigmatization by respondents of (4) TB (TBS-R) and the perceived stigmatization by colleagues of (5) TB (TBS-C). Finally, we also tested the impact of (1) to (5) on the intention to adopt the social act of (6) covering. All these relationships were controlled for age, sex, professional category, HIV knowledge, TB knowledge, confidentiality, and hospital effects. The conceptual model tested in this article is displayed in Fig. 1.

Fig. 1
figure 1

Conceptual model displaying the relationships between the epidemics, links between stigmas, TB stigma, and covering

Full size image

SEM is a combination of confirmatory factor analysis and multiple regression analyses. First, the measurement model specifies the relationships between the observed indicators (e.g., the items measuring the respondent’s double stigma) and the overarching latent variables (for example, the respondent’s double stigma). Second, the structural model specifies the relationships among the various observed and latent variables. Following the recommendations of Hu and Bentler (1999), two of the following three criteria had to be met for a satisfactory global model fit to be attained: CFI/TLI ≥ 0.95, RMSEA ≤0.06, and SRMR ≤0.08 [45]. All data analysis was performed using the statistical software package Mplus version 7.4. The MLM (maximum likelihood parameter estimates with standard errors and a mean-adjusted chi-squared test statistic that are robust to non-normality) method was used to fit the structural equation models to the dataset.

Results

Sample characteristics

The characteristics of our sample are depicted in Table 1.

Table 1 Sample descriptions
Full size table

Measurement model

Although SEM is a hybrid of factor analysis and path analysis, a two-step approach is recommended. Separate assessments of the measurement and structural models prevent the good fit of one model compensating for (and potentially masking) the poor fit of the other. The measurement model displays an excellent fit to the data (RMSEA = .046; CFI = .952; TLI = .941; and SRMR = .034) (Table 2). The reliability analyses display excellent consistency of the indicators in measuring the latent concepts, with Cronbach’s alphas ranging from .70 to .99. Only the 3-item scale measuring the interlinked nature of the HIV and TB epidemics (HIV-TB) displayed borderline consistency, with a Cronbach’s alpha of .66. The factor loadings of these three items were sufficiently high and ranged between .49 and .74. The two items measuring the perceived interlinked nature of HIV and TB stigmatization (double stigma) by colleagues (DS-C) also displayed sufficiently high factor loadings (λ = .81 and λ = .88). As reported in an earlier publication, the 4-item scale measuring the respondent’s stigmatizing attitudes toward HIV (HIVS-R) (λ ranging from .53 to .75) and the 2-item scale measuring the respondent’s stigmatizing attitudes toward TB (TBS-R) (λ = .71 and λ = .75) displayed sufficiently high loadings of the different items onto the factor [39]. Similarly, the 4-item scale measuring colleagues’ stigmatizing attitudes toward HIV (HIVS-C) (λ ranging from .69 to .72) and the 5-item scale measuring the colleagues’ stigmatizing attitudes toward TB (TBS-C) (λ ranging from .64 to .78) displayed sufficiently high loadings of the different items onto the factor [39]. Finally, both items measuring the social act of covering displayed high factor loadings (λ = .85 and λ = .70). Combined, these findings support the fit of the measurement model to the data as well as the reliability of these constructs and their indicators.

Table 2 Item analysis, goodness-of-fit, and reliability assessment of the measurement model (n = 874)
Full size table

Structural model

The RMSEA (0.039) indicates a close fit of the overall model with reasonable errors of approximation in the population. Combined with the other goodness-of-fit statistics (CFI = 0.929; TLI = 0.905; and SRMR = 0.038), we can conclude that the structural model displays an acceptable fit to the data (Table 3).

Table 3 Standardized Mplus coefficients (β) and model summary of the structural model (n = 862)
Full size table

The first section of the model assessed the association between (1) the interlinked nature of the epidemics (HIV-TB) and both (2) the interlinked nature of the stigmas (double stigma) (DS-R) as defined by the respondent and (3) the perceived double stigmatization by colleagues (DS-C). The reported link between both epidemics was significantly and positively associated with the reported link between HIV stigma and TB stigma (β = .497; P < .000). Respondents who reported a strong link between HIV and TB also reported a stronger link between the negative attributes and resulting double stigmatization of both illnesses. The reported link between both epidemics was also significantly and positively associated with the perceived double stigmatization by colleagues (β = .425; P < .000). In other words, health care workers who reported that having TB is a sign of having HIV were more likely to report that co-workers stigmatize people with TB because of HIV-related reasons. Conversely, TB knowledge was negatively associated with the perceived double stigmatization by colleagues (β = −.128; P < .005): health care workers with higher levels of TB knowledge were less likely to perceive a transfer of the stigmatizing attitudes toward HIV to TB among their colleagues. Finally, witnessing a breach in confidentiality at the sick bay was positively associated with the perceived link between HIV stigma and TB stigma by the respondent (β = .069; P < .05). None of the other control variables was significantly linked to these two 2 outcomes.

The second section explored whether (1) the link between the epidemics (HIV-TB), (2) the reported link between the stigmas (DS-R), and (3) the perceived link between the stigmas by colleagues (DS-C) are associated with the stigmatization of TB – in other words, how the link between the illnesses and the link between their stigmas is reflected in the stigmatization of TB. We assessed the association of these 3 aspects of the co-epidemic with (1) the stigmatization of TB by the respondent (TBS-R) and (2) the perceived stigmatization of TB by colleagues (TBS-C).

First, the link between the epidemics (β = .238; P < .001), the double stigma (as reported by the respondent) (β = .152; P < .005), and the perceived double stigma by colleagues (β = .430; P < .001) were significantly associated with the stigmatizing attitudes and behaviors of the responding HCW toward TB: it is clear that the stigma toward TB is strongly associated with the co-epidemic and its resulting double stigma. Respondents who reported that TB is a sign of having HIV, who linked the two stigmas, and who perceived that colleagues linked the 2 stigmas were significantly more likely to stigmatize TB. Age (β = .085; P < .05), less TB knowledge (β = −.105; P < .01), and witnessing a breach in confidentiality (β = .078; P < .05) were also significantly associated with TB stigma: older HCWs with lower levels of knowledge of TB were more likely to report stigmatizing attitudes and behaviors toward TB. None of the other control variables – apart from a few hospital effects – were significantly linked to TB stigma.

Second, the perceived link between the stigmatization toward HIV and TB by colleagues was significantly associated with the corresponding TB stigma type, namely the perceived stigmatization toward TB by colleagues (β = .611; P < .001). There was thus a very strong association between the perceived double stigma and the separate TB stigma. Witnessing a breach in confidentiality at the sick bay was also significantly associated with the perceived stigmatization toward TB (β = .148; P < .001) by colleagues. None of the other control variables was significantly linked to TB stigmatization by colleagues.

When looking at the relationships with the stigmatization towards HIV (by the respondent and by colleagues) – one of our most important control variables – we observe that the reported link between HIV and TB (HIV-TB) was positively associated with HIV stigmatization by the interviewed HCW (HIVS-R) (β = .178; P < .005). HCWs who reported that TB is a sign of having HIV were more likely to report stigmatizing attitudes and behaviors toward HIV. Having more HIV (β = −.095; P < .05) and TB (β = −.099; P < .05) knowledge was negatively associated with stigmatizing attitudes toward HIV: HCWs who knew more about HIV and TB were less likely to stigmatize HIV-positive colleagues. In accordance with the findings on TB stigma, the perceived link between the stigmatization toward HIV and TB by colleagues was significantly associated with the corresponding HIV stigma types, namely (1) the perceived stigmatization toward HIV by colleagues (β = .571; P < .001). Witnessing a breach in confidentiality at the sick bay was also significantly associated with the perceived stigmatization toward HIV (β = .179; P < .001) by colleagues.

The structural model also includes the correlates of the social act of covering. Covering was significantly associated with (1) sex, (2) the reported link between HIV and TB (HIV-TB), (3) the stigmatization of TB (TBS-R), (4) the perceived stigmatization of TB by colleagues (TBS-C), and (5) the perceived stigmatization of HIV by colleagues (HIVS-C).

Being female (β = .106; P < .05) weakly but significantly increased the odds of using TB as an excuse for having HIV when being confronted by these illnesses. HCWs who recognized having TB as a sign of having HIV (link between both epidemics) were significantly more likely (β = .235; P < .001) to employ TB as a cover for HIV when they become infected HIV (or both HIV and TB). Thirdly, there was a strong link (β = .351; P < .005) between the self-reported stigmatization of TB and the reported likelihood of using TB as cover for having HIV: HCWs who displayed higher levels of TB stigma were significantly more likely to resort to covering when they were HIV-positive. There was a strong positive link between the stigmatization toward TB and the likelihood of adopting the social act of covering (β = .402; P < .001): against expectations, HCWs with stigmatizing attitudes toward TB were significantly more likely to cover an HIV-positive diagnosis with the label of having TB. The perceived TB stigmatizing behavior by colleagues was, as expected, negatively associated with covering (β = −.233; P < .05): if HCWs responded that their colleagues stigmatized TB more, they were significantly less likely to employ TB as a cover for HIV. Correspondingly the perceived HIV stigmatizing behavior by colleagues was positively associated with covering (β = .350; P < .001): if HCWs responded that their fellow HCWs stigmatized HIV more, they were significantly more likely to use TB as a cover for HIV.

Discussion

Sub-Saharan Africa at large and South Africa in particular is confronted with a devastating HIV/TB-co-epidemic. Little is known, however, of the creation and dynamics of double stigma in the context of these intertwined epidemics and the impact of this double stigma on the social connotations of TB. The current study addressed this research gap by explicitly exploring how (1) the interlinked nature of HIV and TB and (2) the resulting double stigmatization of HIV-TB (by the respondent and by colleagues) have changed the stigmatization TB and the resulting stigma management strategy of (4) covering.

As previously reported in the qualitative work of Daftary (2012) and Bond and Nyblade (2006), the interwovenness of HIV and TB, reflecting the bio-medical reality of HIV-TB co-infection, has resulted in the creation of a new form of compound or double stigma [9, 26]. The results of the analysis clearly indicate that the link between both illnesses is reflected in an additional layer of stigmatization, that of the transfer of stigmatizing attitudes and behaviors previously linked to HIV and TB. It was clearly demonstrated that the perceived link between the epidemics was reflected in the creation of a double stigma, reflected in both (1) a self-reported link between both stigmas and (2) a perceived linking of both stigmas by fellow HCWs. The study thus provides quantitative evidence of the linking of both illnesses and resulting stigmas previously reported in exploratory qualitative studies [9, 26].

The current study went a step further by subsequently exploring the link between this double stigma and the stigmatization of TB. As expected, the link between the epidemics and the associated double stigma has resulted in the increased stigmatization of TB. To the best of our knowledge, this is the first quantitative study to demonstrate the empirical link between the interwovenness of HIV and TB and the stigmatization of TB with the associated compound or double stigma as an important mediating variable. The results offer an evidence-based explanation of why TB-associated stigma has declined in low HIV-prevalence communities but resurged in high-burden settings during the past decade [9, 46].

Finally, this study explored the drivers of the stigma management strategy of covering, whereby people living with HIV attempt to avoid or minimize discrimination by using a lesser stigmatized illness, TB, as a cover for HIV. Our findings indicate that the perceived interlinked nature of the two epidemics clearly drives this stigma management strategy. In line with previous research [9], HCWs who recognize the link between HIV and TB are more likely to employ covering as a way to minimize HIV-related discrimination. It is thus evident that the co-epidemic and its repercussions for the stigmatization of HIV and TB impact the behavior of those affected.

In contrast with expectations, stigmatizing attitudes against TB increased the likelihood of employing the stigma management strategy of covering, meaning that one would employ TB as a cover for HIV. However, this can be explained by the fact that, as indicated above, a large part of the variability in TB stigma can be ascribed to the transfer of discriminatory attitudes against HIV to individuals with TB. This was also shown in the qualitative work of Mavhu et al. (2010) and Ngamvithayapong et al. (2000) [47, 48]. Those who stigmatize TB are thus those who recognize the link between both epidemics and potentially see covering as a vital or effective strategy to avoid HIV stigmatization. Conversely, it is also possible that we have a case of reversed causality: it is possible that those HCWs viewing sharing a (fictitious) TB diagnosis as a potential strategy to cover for HIV, are transfering stigmatizing attitudes toward HIV to TB, thereby displaying increased levels of TB stigma. The fact that TB stigma for many respondents seems almost synonymous with the double stigma as the stigmatization of TB is largely attributable to its link with HIV renders it virtually impossible to singularize the relationship between TB stigma and covering in abstraction of the link with HIV.

In line with expectations, the perceived stigmatizing attitudes of colleagues toward TB were strongly associated with the likelihood of employing covering as a strategy to deal with a positive HIV diagnosis. The stronger the dominant stigma associated with HIV and the weaker the stigma associated with TB, the more likely HCWs were to resist discrimination by using TB as a cover for HIV. Our results demonstrate that the stigmatizing attitudes toward HIV by colleagues clearly push HCWs toward potentially deflecting “attention away from a dominant stigmatizing attribute (that is, HIV) by drawing attention to something more socially acceptable (that is, TB)” [9]. Our results also support the statements of Mbonu et al. (2009) who concluded in their systematic study that “people prefer to claim that they are bewitched or have (normal) tuberculosis rather than accept that they have HIV/AIDS” [49]. Our study is the first large-scale quantitative study to confirm these exploratory qualitative findings.

This study’s strengths include: (1) its theoretical foundation in stigma literature, (2) its large-scale quantitative design, (3) the availability of well-developed scales to measure different types of stigma (TB, HIV, and double stigma), and (4) the availability of information on an understudied population, namely HCWs active in a vulnerable health system burdened by the HIV/TB co-epidemic. To the best of our knowledge, this is the first study to quantitatively disentangle the complex interrelationships between the interlinked nature of the epidemics, the interlinked nature of the stigmas, the distinct HIV- and TB-related stigmas, and the resulting stigma management strategy (covering). We empirically tested and confirmed the theory-building findings of previous in-depth qualitative studies on this topic.

This study had several limitations. First, it focused on the stigma management strategy of covering, which has emerged as one of the most relevant stigma management strategies in the context of the co-epidemic. Other stigma management strategies (for example, “othering,” the symbolic distancing from persons affected by HIV) were not examined; future studies should incorporate these alternative stigma management strategies. Second, although cross-lagged regression would have been more appropriate, the study was limited to cross-sectional analyses as the follow-up data of the cluster RCT were not yet available. We were therefore unable to make any attributions of causal influence among the different independent variables and stigma outcomes. Third, this study collected data on a random sample of HCWs active in the 8 selected hospitals, irrespective of their HIV status or TB history, thus gathering data on their stigma management strategies in the hypothetical case of a TB/HIV co-infection. Fourth, this study did not explore stigma related to drug-resistant TB (MDR-TB), which is known to have distinct and more severe manifestations disturbing the examined relationships between HIV and TB stigma and the resulting management strategy. Given these shortcomings, future longitudinal, large-scale studies collecting data on a random sample of co-infected people with a specific focus on MDR-TB are needed to confirm and potentially expand knowledge on the demonstrated interrelationships.

Conclusions

The results of this study have both theoretical and practical relevance. From a theoretical perspective, this is the first study to use a large-scale dataset to empirically disentangle the interrelationships between HIV, TB, HIV stigma, TB stigma, and double stigma. The results demonstrate that, as hypothesized by previous qualitative work, the co-epidemic (and especially the link with the discredited HIV status) is driving the stigmatization toward TB. Consequently, the findings extend our understanding of the social ramifications of the co-epidemic by empirically supporting the theorization of double stigma and the resulting management of the two interlinked illness-related identities in the context of the devastating HIV-TB co-epidemic.

These insights help to inform appropriate responses from the health care system: from a practical and policy perspective, the results urge policymakers to strengthen integrated measures, as the interlinked nature of the epidemics and the associated stigmas demonstrate that vertical programs inevitably ignore a significant part of the reality of an HIV or TB diagnosis. The results urge policymakers to merge the often-contrasting cultures of HIV care, a patient-centered, individualized approach, and TB care characterized by a traditional public health approach [8, 50, 51]. The proposed integrated approach should recognize the intertwined nature of the HIV-TB co-epidemic, not only in medical-clinical terms, but also in its social consequences. The established rise in TB stigma caused by the perceived links between HIV and TB and the resulting double stigma however also urge health policy makers to not blindly intergrate HIV and TB care as this may increase TB stigma levels. The current push towards integration [52, 53] thus needs to be complemented with interventions that recognize and take into account the interlinked nature of the epidemics, which cannot be separated in a context where 3 out of every 4 TB cases are HIV-positive [27, 50]. Our findings and the associated overarching HaTSaH study testing an intervention to address HIV and TB stigma among HCWs aligns with the ongoing START study by Howard et al. [54] that explicitly aimed to evaluate the effectiveness of a combination intervention package to improve ART uptake and adherence during TB treatment in Lesotho. More research is needed to translate the knowledge of the social ramifications of the co-epidemic into evidence-based interventions that can optimally combat the co-epidemic and not only reduce the risk of transmission (and the resulting burden of disease), but also create a health-enabling environment in which HCWs affected by HIV and/or TB are optimally treated and supported [11, 55].

Availability of data and materials

The data that support the findings of this study are available from the HaTSaH team but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. In order to get access to the data on which the present study is based, permission from the HaTSaH study is necessary. The Data and Publication Committee of the HaTSah study evaluates all applications for access to data, and upon approval of application, an agreement is made between the HaTSaH study team and the project manager of the project in question. Questions regarding access to data may be directed towards edwin.wouters@uantwerpen.be.

Abbreviations

CFI:

Comparative Fit Index

DR-R:

The double stigma (HIV and TB) by the respondent

DS-C:

The perceived double stigma (HIV and TB) by colleagues

HaTSaH:

studyHIV and TB Stigma among Health Care Workers Study

HCW:

Health care worker

HIV-TB:

The link between HIV and TB

MLM:

Maximum likelihood parameter estimates with standard errors and a mean-adjusted chi-square test statistic

OHU:

Occupational health unit

RMSEA:

Root Mean Square Error of Approximation

SEM:

Structural equation modeling

SRMR:

Standardized root mean squared residual

TB:

Tuberculosis

TBS-C:

The perceived stigma toward TB by colleagues

TBS-R:

The stigma toward TB by the respondent

TLI:

Tucker-Lewis Index

References

  1. Wouters E, van Rensburg D, Meulemans H. The National Strategic Plan of South Africa: what are the prospects of success after the repeated failure of previous AIDS policy? Health Policy Plan. 2010;25(3):171–85.

    Article  PubMed  Google Scholar 

  2. UNAIDS. AIDS Data. Geneva: UNAIDS; 2017.

    Google Scholar 

  3. Statistics South Africa. Mid-year population estimates 2016. Pretoria: Statistics South Africa; 2016.

    Google Scholar 

  4. Wouters E, Van Loon F, Van Rensburg D, Meulemans H. State of the ART: clinical efficacy and improved quality of life in the public antiretroviral therapy program, Free State province. South Africa AIDS Care. 2009;21(11):1401–11.

    Article  CAS  PubMed  Google Scholar 

  5. WHO. Global tuberculosis report 2016. Geneva: WHO; 2016.

  6. Department of Health. Annual Performance Plan 2012/13–2014/15. Department of Health, Republic of South Africa; 2012.

  7. Kwan CK, Ernst JD. HIV and tuberculosis: a deadly human syndemic. Clin Microbiol Rev. 2011;24(2):351–76.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Daftary A, Padayatchi N. Integrating patients' perspectives into integrated tuberculosis-human immunodeficiency virus health care. Int J Tuberc Lung Dis. 2013;17(4):546–51.

    Article  CAS  PubMed  Google Scholar 

  9. Daftary A. HIV and tuberculosis: the construction and management of double stigma. Soc Sci Med. 2012;74(10):1512–9.

    Article  PubMed  Google Scholar 

  10. Craig GM, Daftary A, Engel N, O’Driscoll S, Ioannaki A. Tuberculosis stigma as a social determinant of health: a systematic mapping review of research in low incidence countries. Int J Infect Dis. 2017;56:90–100.

    Article  CAS  PubMed  Google Scholar 

  11. von Delft A, Dramowski A, Khosa C, Kotze K, Lederer P, Mosidi T, et al. Why healthcare workers are sick of TB. Int J Infect Dis. 2015;32:147–51.

    Article  Google Scholar 

  12. Adeoye-Agboola DI, Evans H, Hewson D, Pappas Y. Factors influencing HIV disclosure among people living with HIV/AIDS in Nigeria: a systematic review using narrative synthesis and meta-analysis. Public Health. 2016;136:13–28.

    Article  CAS  PubMed  Google Scholar 

  13. Murray EJ, Bond VA, Marais BJ, Godfrey-Faussett P, Ayles HM, Beyers N. High levels of vulnerability and anticipated stigma reduce the impetus for tuberculosis diagnosis in Cape Town. S Afr Health Policy Plann. 2013;28(4):410–8.

    Article  Google Scholar 

  14. Chollier M, Tomkinson C, Philibert P. STIs/HIV stigma and health: a short review. Sexologies. 2016;25(4):e71–e5.

    Article  Google Scholar 

  15. Sangaramoorthy T, Jamison AM, Dyer TV. HIV stigma, retention in care, and adherence among older black women living with HIV. J Assoc Nurses AIDS Care.

  16. Heunis JC, Wouters E, Norton WE, Engelbrecht MC, Kigozi NG, Sharma A, et al. Patient- and delivery-level factors related to acceptance of HIV counseling and testing services among tuberculosis patients in South Africa: a qualitative study with community health workers and program managers. Implement Sci. 2011;6:10.

    Article  Google Scholar 

  17. Nam SL, Fielding K, Avalos A, Dickinson D, Gaolathe T, Geissler PW. The relationship of acceptance or denial of HIV-status to antiretroviral adherence among adult HIV patients in urban Botswana. Soc Sci Med. 2008;67(2):301–10.

    Article  PubMed  Google Scholar 

  18. Musumari PM, Wouters E, Kayembe PK, Kiumbu Nzita M, Mbikayi SM, Suguimoto SP, et al. Food insecurity is associated with increased risk of non-adherence to antiretroviral therapy among HIV-infected adults in the Democratic Republic of Congo: a cross-sectional study. PLoS One. 2014;9(1):e85327.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Sweeney SM, Vanable PA. The association of HIV-related stigma to HIV medication adherence: a systematic review and synthesis of the literature. AIDS Behav. 2016;20(1):29–50.

    Article  PubMed  Google Scholar 

  20. Turan B, Budhwani H, Fazeli PL, Browning WR, Raper JL, Mugavero MJ, et al. How does stigma affect people living with HIV? The mediating roles of internalized and anticipated HIV stigma in the effects of perceived community stigma on health and psychosocial outcomes. AIDS Behav. 2017;21(1):283–91.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Reinius M, Wiklander M, Wettergren L, Svedhem V, Eriksson LE. The relationship between stigma and health-related quality of life in people living with HIV who have full access to antiretroviral treatment: an assessment of Earnshaw and Chaudoir’s HIV stigma framework using empirical data. AIDS Behav. 2018;22:3795–806.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Goffman E. Stigma: notes on the management of spoiled identity. Englewood Cliffs, N.J: Prentice-Hall; 1963. 147 p.

    Google Scholar 

  23. Sayce LIZ. Stigma, discrimination and social exclusion: What's in a word? J Ment Health. 1998;7(4):331–43.

    Article  PubMed  Google Scholar 

  24. Link BG, Phelan JC. Stigma and its public health implications. Lancet. 2006;367(9509):528–9.

    Article  PubMed  Google Scholar 

  25. Link BG, Phelan JC. Conceptualizing Stigma. Annu Rev Sociol. 2001;27:363–85.

    Article  Google Scholar 

  26. Bond V, Nyblade L. The importance of addressing the unfolding TB-HIV stigma in high HIV prevalence settings. J Community Appl Soc Psychol. 2006;16(6):452–61.

    Article  Google Scholar 

  27. Daftary A, Padayatchi N. Social constraints to TB/HIV healthcare: accounts from coinfected patients in South Africa. AIDS Care. 2012;24(12):1480–6.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Deribew A, HaileMichael Y, Tesfaye M, Desalegn D, Wogi A, Daba S. The synergy between TB and HIV co-infection on perceived stigma in Ethiopia. BMC Res Notes. 2010;3(1):249.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Engelbrecht MC, Kigozi NG, Chikobvu P, Botha S, van Rensburg HCJ. Unsuccessful TB treatment outcomes with a focus on HIV co-infected cases: a cross-sectional retrospective record review in a high-burdened province of South Africa. BMC Health Serv Res. 2017;17(1):470.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Tudor C, Van der Walt M, Margot B, Dorman SE, Pan WK, Yenokyan G, et al. Tuberculosis among health care workers in KwaZulu-Natal, South Africa: a retrospective cohort analysis. BMC Public Health. 2014;14(1):891.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Baussano I, Nunn P, Williams B, Pivetta E, Bugiani M, Scano F. Tuberculosis among health care workers. Emerg Infect Dis. 2011;17(3):488–94.

    Article  PubMed  PubMed Central  Google Scholar 

  32. URC South Africa. Tuberculosis in Healthcare Workers: Findings from South Africa. University Research Co. LLC & Desmond Tutu Tuberculsosis Centre; 2013.

  33. Adamsi S, Ehrlichi R, Ismailii N, Quaili Z, Jeebhayi MF. Occupational health challenges facing the Department of Health: protecting employees against tuberculosis and caring for former mineworkers with occupational health disease. In: Padarath A, English R, editors. South African health review 2012/13. Durban: Health Systems Trust; 2013. p. 67–82.

    Google Scholar 

  34. Ncayiyana D. Doctors and nurses with HIV and AIDS in sub-Saharan Africa. Br Med J. 2004;329(7466):584–5.

    Article  Google Scholar 

  35. Feeley FG, Collier AC, Richards SC, Van der Borght SFM, Rinke de wit TF. A successful workplace program for voluntary counseling and testing and treatment of HIV/AIDS at Heineken, Rwanda. Int J Occup Environ Health. 2007;13(1):99–106.

    Article  PubMed  Google Scholar 

  36. Corbett EL, Marston B, Churchyard GJ, De Cock KM. Tuberculosis in sub-Saharan Africa: opportunities, challenges, and change in the era of antiretroviral treatment. Lancet. 2006;367(9514):926–37.

    Article  PubMed  Google Scholar 

  37. World Health Organization, International Labour Organization, UNAIDS. The joint WHO-ILO-UNAIDS policy guidelines on improving health workers’ access to HIV and TB prevention, treatment, care and support services Geneva; 2010.

  38. Nyblade L, Stangl A, Weiss E, Ashburn K. Combating HIV stigma in health care settings: what works? J Int AIDS Soc. 2009;12(1):15.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Wouters E, Rau A, Engelbrecht M, Uebel K, Siegel J, Masquillier C, et al. The Development and Piloting of Parallel Scales Measuring External and Internal HIV and Tuberculosis Stigma Among Healthcare Workers in the Free State Province, South Africa. Clin Infect Dis. 2016;62(suppl_3):S244–S54.

    Article  PubMed  Google Scholar 

  40. Wouters E, Masquillier C, Sommerland N, Engelbrecht M, Van Rensburg AJ, Kigozi G, et al. Measuring HIV- and TB-related stigma among health care workers in South Africa: a validation and reliability study. Int J Tuberc Lung Dis. 2017;21(11):S19–25.

    Article  Google Scholar 

  41. Sommerland N, Wouters E, Mitchell EMH, Ngicho M, Redwood L, Masquillier C, et al. Evidence-based interventions to reduce tuberculosis stigma: a systematic review. J Microsc. 2017;21(11):S81–S6.

    Google Scholar 

  42. Fay H, Baral S, Trapence G, Motimedi F, Umar E, Iipinge S, et al. Stigma, health care access, and HIV knowledge among men who have sex with men in Malawi, Namibia, and Botswana. AIDS Behav. 2011;15(6):1088–97.

    Article  PubMed  Google Scholar 

  43. Yang H, Li X, Stanton B, Fang X, Lin D, Naar-King S. HIV-related knowledge, stigma, and willingness to disclosure: a mediation analysis. AIDS Care. 2006;18(7):717–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Coreil J, Mayard G, Simpson KM, Lauzardo M, Zhu Y, Weiss M. Structural forces and the production of TB-related stigma among Haitians in two contexts. Soc Sci Med. 2010;71(8):1409–17.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Hu L-t, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model Multidiscip J. 1999;6(1):1–55.

    Article  Google Scholar 

  46. Courtwright A, Turner AN. Tuberculosis and Stigmatization: Pathways and Interventions. Public Health Reports. 2010;125(4_suppl):34–42.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Ngamvithayapong J, Winkvist A, Diwan V. High AIDS awareness may cause tuberculosis patient delay: results from an HIV epidemic area, Thailand. AIDS. 2000;14(10):1413–9.

    Article  CAS  PubMed  Google Scholar 

  48. Mavhu W, Dauya E, Bandason T, Munyati S, Cowan FM, Hart G, et al. Chronic cough and its association with TB–HIV co-infection: factors affecting help-seeking behaviour in Harare, Zimbabwe. Trop Med Int Health. 2010;15(5):574–9.

    PubMed  PubMed Central  Google Scholar 

  49. Mbonu NC, van den Borne B, De Vries NK. Stigma of people with HIV/AIDS in sub-Saharan Africa: a literature review. J Trop Med. 2009:145891.

  50. O'Donnell MR, Daftary A, Frick M, Hirsch-Moverman Y, Amico KR, Senthilingam M, et al. Re-inventing adherence: toward a patient-centered model of care for drug-resistant tuberculosis and HIV. Int J Tuberc Lung Dis. 2016;20(4):430–4.

    Article  CAS  PubMed  Google Scholar 

  51. Daftary A, Calzavara L, Padayatchi N. The contrasting cultures of HIV and tuberculosis care. AIDS. 2015;29(1):1–4.

    Article  PubMed  Google Scholar 

  52. Naidoo K, Gengiah S, Yende-Zuma N, Padayatchi N, Barker P, Nunn A, et al. Addressing challenges in scaling up TB and HIV treatment integration in rural primary healthcare clinics in South Africa (SUTHI): a cluster randomized controlled trial protocol. Implement Sci. 2017;12(1):129.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Ikeda JM, López Tellez CA, Hudes ES, Page K, Evans J, Racancoj O, et al. Impact of integrating HIV and TB care and treatment in a regional tuberculosis Hospital in Rural Guatemala. AIDS Behav. 2014;18(1):96–103.

    Article  Google Scholar 

  54. Howard AA, Hirsch-Moverman Y, Frederix K, Daftary A, Saito S, Gross T, et al. The START Study to evaluate the effectiveness of a combination intervention package to enhance antiretroviral therapy uptake and retention during TB treatment among TB/HIV patients in Lesotho: rationale and design of a mixed-methods, cluster-randomized trial. Glob Health Action. 2016:9. https://doi.org/10.3402/gha.v9.31543.

    Article  PubMed  Google Scholar 

  55. Padayatchi N, Daftary A, Moodley T, Madansein R, Ramjee A. Case series of the long-term psychosocial impact of drug-resistant tuberculosis in HIV-negative medical doctors. Int J Tuberc Lung Dis. 2010;14(8):960–6.

    CAS  PubMed  Google Scholar 

Download references

Acknowledgments

We want to thank the health care workers and the hospitalks they work in for their participation in this study.

Funding

The project was funded by Research Foundation Flancers (G035216 N), VLIR-UOS (ZEIN2015PR415) and the Special Research Fund of the University of Antwerp (32124). The funding bodies did not have a role in the design of the study, data collection, analysis, interpretation of data or writing of the manuscript.

Author information

Authors and Affiliations

  1. Department of Sociology and Centre for Population, Family and Health, University of Antwerp, Sint-Jacobstraat 2, BE–2000, Antwerp, Belgium

    Edwin Wouters, Nina Sommerland & Caroline Masquillier

  2. Centre for Health Systems Research and Development, University of the Free State, Bloemfontein, Republic of South Africa

    Edwin Wouters, Asta Rau, Michelle Engelbrecht & Gladys Kigozi

  3. Centre for Rural Health, University of KwaZulu-Natal, Durban, South Africa

    André Janse Van Rensburg

  4. Department of Communication Sciences, Media, Innovation and Communication Technologies, Ghent University, Ghent, Belgium

    Koen Ponnet

  5. International Health Policy, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium

    Wim Van Damme

Authors
  1. Edwin Wouters
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nina Sommerland
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Caroline Masquillier
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Asta Rau
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Michelle Engelbrecht
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. André Janse Van Rensburg
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Gladys Kigozi
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Koen Ponnet
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Wim Van Damme
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Study concept and design: EW, AR, ME and CM. Analysis and interpretation of data: EW. Drafting of the manuscript: EW. Critical revision of the manuscript for important intellectual content: AvR, GK, AR, ME, CM, WvD, NS, and KP. Study supervision: EW, AR and ME. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Edwin Wouters.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Ethics Committee of the Faculty of Health Science of the University of the Free State (ECUFS 55/2015) and the Ethical Committee for the Social Sciences and Humanities of the University of Antwerp (SHW-15-28-03). The study was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and later amendments. All participants gave written informed consent prior to inclusion in the study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Wouters, E., Sommerland, N., Masquillier, C. et al. Unpacking the dynamics of double stigma: how the HIV-TB co-epidemic alters TB stigma and its management among healthcare workers. BMC Infect Dis 20, 106 (2020). https://doi.org/10.1186/s12879-020-4816-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12879-020-4816-3

Keywords

  • Tuberculosis
  • HIV/AIDS
  • Co-epidemic
  • Stigma, double stigma
  • Health care workers
  • Structural equation modeling
  • South Africa

BMC Infectious Diseases

ISSN: 1471-2334

Contact us