Literature DB >> 23336726

Are integrated HIV services less stigmatizing than stand-alone models of care? A comparative case study from Swaziland.

Kathryn Church1, Alison Wringe, Phelele Fakudze, Joshua Kikuvi, Dudu Simelane, Susannah H Mayhew.   

Abstract

INTRODUCTION: Integrating HIV with primary health services has the potential to reduce HIV-related stigma through delivering care in settings disassociated with HIV. This study investigated the relationship between integrated care and felt stigma. The study design was a comparative case study of four models of HIV care in Swaziland, ranging from fully integrated to fully stand-alone HIV care.
METHODS: An exit survey (N=602) measured differences in felt stigma across model of care; the primary outcome "perception of HIV status exposure through clinic attendance" was analyzed using multivariable logistic regression. In-depth interviews (N=22) explored whether and how measured differences in stigma experiences were related to service integration.
RESULTS: There were significant differences in perceived status exposure across models of care. After adjustment for potential confounding between sites, those at a partially integrated site and a partially stand-alone site had greater odds of perceived status exposure than those at the fully stand-alone site (aOR 3.33, 95% CI 1.98-5.60; and aOR 11.84, 95% CI 6.89-20.36, respectively). There was no difference between the fully stand-alone and the fully integrated clinic. Qualitative data suggested that many clients at HIV-only sites felt greater confidentiality knowing that those around them were positive, and support was gained from other HIV care clients. Confidentiality was maintained in various ways, even in stand-alone sites, through separate waiting areas for HIV testing and HIV treatment, and careful clinic and room labelling.
CONCLUSIONS: The relationship between model of care and stigma was complex, and the hypothesis that stigma is higher at stand-alone sites did not hold true in this high prevalence setting. Policy-makers should ensure that service integration does not increase stigma, in particular within partially integrated models of care.

Entities:  

Keywords:  HIV; health services research; primary care; reproductive health services; stigma; systems integration

Mesh:

Year:  2013        PMID: 23336726      PMCID: PMC3545202          DOI: 10.7448/IAS.16.1.17981

Source DB:  PubMed          Journal:  J Int AIDS Soc        ISSN: 1758-2652            Impact factor:   5.396


Introduction

Integrating HIV services with generalist primary health care (PHC), including sexual and reproductive health (SRH) care, has the potential to reduce HIV-related stigma experienced within healthcare settings [1-5]. While health services can act as a locus of stigma in various ways [6], including through discriminating behaviour by health professionals, the structural organization of care may play a role through the protection of client HIV status and confidentiality. Defined as a process of devaluation of people either living with HIV (PLWH), or associated with the illness, stigma is often followed by discrimination, the unjust treatment of individuals based on their real or perceived HIV status [7]. It is often conceptualized as “felt,” stemming from PLWH's negative perceptions about themselves, or “enacted,” involving the discriminatory behaviour of others [8]. Reduction of stigma is a critical goal for HIV programming due to its influence on health service utilization and drug adherence [9-12]. Most research on stigma in health settings focuses on the role of health workers as perpetrators of stigma. A recent review identified various discriminatory behaviours, including differential treatment, denial of care, testing or status disclosure without consent, verbal abuse, gossip, additional fees, and overuse of gloves [6]. Research on the influence of structural factors, including the effect of service integration or specialization, is more limited [13]. It has been speculated that stand-alone HIV services may be particularly stigmatizing, as clients are labelled as they walk through the door [14], resulting in an involuntary disclosure of status. Other structural influences include avoidance or isolation of HIV clients, and labelling of buildings and rooms [6, 14]. Evidence on the impact of service integration on stigma within PHC and SRH settings is equivocal. Descriptive studies suggest that integrated services may offer a less stigmatizing environment due to perceived anonymity [15-18], in contrast to a stressful “othering” process that has been identified in specialized settings [19, 20]. However, confidentiality breeches have been reported when HIV clients were mixed with SRH clients in waiting rooms [21], and some types of clients may desire specialization to enhance privacy: a comparison of vertical and integrated sexually transmitted infection services found higher utilization rates in specialist sites, partly reflecting these needs [22]. Some PLWH may also prefer specialized HIV care due to enacted provider stigma within SRH services [23, 24]. Furthermore, descriptive studies following service integration report that privacy is not always maintained in generalist settings, calling into question the supposed confidentiality of an integrated approach [17, 25, 26]. Since both felt and enacted stigma remain pervasive in high HIV prevalence contexts in sub-Saharan Africa, scaling-up models of care that minimize service-related stigma is critical. In Swaziland, the country with the world's highest HIV prevalence (26% among adults) [27], studies document stigmatizing attitudes and behaviours towards PLWH in the community, workplace, family, and by sexual partners [8, 28–31]. Policy-makers there have anticipated that by integrating HIV with primary care, this will lead to reductions in HIV-related stigma [32, 33]. This study aimed to explore experiences of HIV stigmatization across four different models of HIV care, and was part of a broader comparative case study investigating the process and outcomes of integrating SRH and HIV services in Swaziland [34]. It also formed a sub-component of a multi-country study investigating the benefits and costs of service integration, the “Integra Initiative,” [35] ClinicalTrials.gov identifier: NCT01694862.

Methods

Design and setting

A comparative case study design, using mixed quantitative and qualitative methods, investigated service provision and client experiences in real-life settings [36, 37]. Four case study clinics were identified within Swaziland's largest town, Manzini, to represent specific models of integrated or stand-alone HIV service delivery accessible to the same catchment population (all provided anti-retroviral therapy (ART) free of charge). The sites were the only HIV care facilities operational in Manzini at the time of the study and represented a continuum of service integration (see Table 1). Clinic A offered ART in the same consultation room as other SRH services (fully integrated); Clinic B offered ART in the same building as other SRH services (partially integrated); Clinic C offered ART in an outpatient clinic located on a district hospital campus (partially stand-alone); and Clinic D offered only ART and HIV testing services (fully stand-alone). Qualitative methods were used to help interpret the results of the quantitative component. The primary hypothesis was that felt stigma, as measured by perceived HIV status exposure through clinic attendance, would be lowest within the fully integrated model of care and highest at the fully stand-alone model of care.
Table 1

The four study clinics and their characteristics

A: Fully integratedB: Partially integratedC: Partially stand-aloneD: Fully stand-alone
Integration/specializationAll SRH and HIV services offered by 1 provider in 1 consultation room.Different providers offer SRH and HIV services in different consultation rooms in 1 building.Providers offer HIV care services in a separate out-patient building on campus of district hospital; with referral to other hospital departments.HIV only clinic offering care and testing services.
Type of clinicNGO-run SRH clinic (primary/secondary care).Government-run public health unit (PHU) (primary/secondary care).Half government-/half mission-run district hospital (secondary/tertiary care).NGO-run HIV clinic (primary/secondary care).
Services available in addition to HIV care*FP, STI, ANC, PMTCT, PNC, VCT, pap smears, youth counselling.FP, STI, ANC, PMTCT, PNC, VCT, pap smears, dental, skin.Other HIV services only (VCT); though full range of in- and out-patient services available in other hospital buildings.Other HIV services only (VCT).

FP=family planning; STI=sexually transmitted infection services; ANC=antenatal care; MCH=maternal & child health; PMTCT=prevention of mother to child transmission services; PNC=postnatal care; VCT=voluntary counselling and testing of HIV.

The four study clinics and their characteristics FP=family planning; STI=sexually transmitted infection services; ANC=antenatal care; MCH=maternal & child health; PMTCT=prevention of mother to child transmission services; PNC=postnatal care; VCT=voluntary counselling and testing of HIV.

Quantitative methods

An exit survey was conducted in 2009 among male and female HIV care clients (N=602) (pre-ART or on ART) aged 18 and above. A structured questionnaire administered by trained fieldworkers asked respondents about comfort in the clinic as a PLWH, perceived HIV status exposure risk and preferences for stand-alone HIV care, as well as socio-demographic and health-related indicators. A conceptual model was developed based on the existing literature, formative interviews with clients and providers, and in-depth knowledge of the research context. Potential confounders that may influence perceptions of stigma included socio-economic variables (sex, age, marital status, education, income, religion, employment status), geographic (travel cost to clinic), SRH factors (number of sex partners in past month, number of living children, current pregnancy), health factors (type of client, time enrolled at clinic, whether or not on ARV, CD4 count and TB treatment status), and psycho-social factors (client comfort in waiting room and abandonment by partner due to HIV status). Questionnaires were administered in SiSwati following each client's completion of service contacts at the clinic. Systematic random sampling was used to identify clients as they exited the facilities, with intervals based on client load and interviewer capacity. At integrated sites, a ticketing system co-administered by nurses or receptionists was used to discreetly invite HIV clients for interview. The primary outcome, fear of HIV status exposure through clinic attendance, was measured using a Likert scale, with respondents asked to rate agreement with the statement “Others can find out my status when I come here,” as follows: 1 “strongly disagree,” 2 “disagree,” 3 “mixed feelings, 4 “agree” and 5 “strongly agree.” The outcome was categorized into a binary variable for hypothesis testing (mean fear of status exposure score≥4 out of 5) due to substantial end skew in the scaled data. STATA 10.0 was used for data checking, cleaning and analysis. Since personal digital assistants were used for data collection, there was only one instance where an explanatory variable contained missing data, and the population median was assigned to the case. A crude analysis examined the association between clinic model and perception of status exposure through clinic attendance, as well as between potential confounders and both exposure and outcome, using the χ2 test for categorical variables or analysis of variance (ANOVA) for continuous variables. Stratum-specific odds ratios of the association between clinic model and outcome were tabulated across potential confounders in a bivariate analysis, using the Mantel-Haenszel method: no significant interaction was identified. Logistic regression modelling was used to analyze the association between clinic model and perceived status exposure. A parsimonious regression model was identified via backward-fitting regression techniques and confirmed using forward-fitting regression techniques (using the likelihood ratio test). A further sensitivity analysis was conducted to test for residual confounding in baseline data around perceptions of stigmatization that were independent of a clinic model, since only two such variables were evaluated as confounders. A second model, limited to those with a regular partner (N=490), included the variable “disclosed to partner.” However, as this did not improve the fit of the data to the model, the whole sample was used. Ethical approval was obtained from the Ethical Committee at the London School of Hygiene & Tropical Medicine (approval no. 5436) and from the Swaziland Scientific and Ethics Committee (approval no. MH/139).

Qualitative methods

In-depth interviews (IDIs) were conducted with 22 HIV clients (5–7 per clinic), interviewed three times on the day of ART initiation, and then two and six months later. Six clients were lost to follow-up at rounds 2 and 3. Clients were sampled both purposively and opportunistically: respondents were invited for interview during adherence counselling by the research team or by counsellors. The aim was to interview at least five per clinic, but potentially more to achieve data saturation. Those exiting first and/or when interviewers were available were interviewed, though efforts were made to include men and pregnant women. Interviews were conducted in SiSwati in private at clinics and follow-up at a local non-government organization or the participant's home. The interview topic guide covered client experiences in the clinic since initiating ART, their treatment by and interaction with providers (including any experiences of stigmatizing behaviour towards PLWH), access to and use of SRH services and attitudes towards integrated or stand-alone models of care. Interviews were recorded, transcribed and translated into English. Data were analyzed in the following iterative process: (i) data familiarization, through transcript review; (ii) coding framework development (facilitated by NVivo 8.0), derived deductively from the research questions and inductively from the data; (iii) abstraction of coded data into thematic matrices, allowing for a constant comparative approach across clinics and cases [38]; and (iv) interpretation, methodological synthesis (between qualitative and quantitative results.

Results

Quantitative results

Table 2 presents key characteristics of the survey sample, by clinic, composed of 127 male and 475 female clients. The refusal rate was 15.3%, which varied by clinic, being lowest at Clinics C and D (6% and 5%, respectively) and highest at A and B (22% and 28%, respectively). Client populations at the four sites differed significantly across the socio-demographic and health-related characteristics presented in Table 2. Notably, the largest group of clients were in their 30s (37%); the great majority were on ARVs (82%) and 39% reported a CD4 <200 cells/µl.
Table 2

Socio-demographic and health-related characteristics of exit survey sample (N=602)

Clinic AClinic BClinic CClinic DAll clinics

Variable% (N)% (N)% (N)% (N)% (N)P value (χ2)
Sex (female)76.1 (54)87.7 (143)74.7 (133)76.3 (145)78.9 (475)0.014
Age
 <2522.5 (16)28.8 (47)10.7 (19)8.9 (17)16.4 (99)<0.001
 25–2918.3 (13)28.8 (47)21.3 (38)20.5 (39)22.8 (137)
 30–3942.3 (30)33.1 (54)38.2 (68)38.4 (73)37.4 (225)
 ≥4016.9 (12)9.2 (15)29.8 (53)32.1 (61)23.4 (141)
Marital status (married)47.9 (34)58.9 (96)47.2 (84)50.5 (96)51.5 (310)0.149
Education
 No education5.6 (4)7.4 (12)11.2 (20)5.3 (10)7.6 (46)<0.001
 0–7 years (primary)14.1 (10)30.7 (50)35.4 (63)18.9 (36)26.4 (159)
 8–12 years (secondary)54.9 (39)59.5 (97)49.4 (88)69.5 (132)59.1 (356)
 ≥12 years (college)25.4 (18)2.5 (4)3.9 (7)6.3 (12)6.8 (41)
Household monthly income*
 E<50019.7 (14)28.8 (47)49.4 (88)28.9 (55)33.9 (204)<0.001
 E500–99918.3 (13)32.5 (53)27.5 (49)21.1 (40)25.7 (155)
 E1000–499935.2 (25)37.4 (61)21.3 (38)36.8 (70)32.2 (194)
 ≥E500026.8 (19)1.2 (2)1.7 (3)13.2 (25)8.1 (49)
Geographic location (cost from clinic)*
 E0–E532.4 (23)60.7 (99)37.6 (67)44.7 (85)45.5 (274)<0.001
 E6–E1025.4 (18)23.9 (39)22.5 (40)24.2 (46)23.8 (143)
 E11–E2021.1 (15)9.2 (15)30.9 (55)19.5 (37)20.3 (122)
 >E2021.1 (15)6.1 (10)9.0 (16)11.6 (22)10.5 (63)
Currently pregnant19.7 (14)32.5 (53)7.3 (13)4.7 (9)14.8 (89)<0.001
Client type
 Pre-ART23.9 (17)13.5 (22)6.7 (12)8.9 (17)11.3 (68)<0.001
 ART initiation11.3 (8)5.5 (9)4.5 (8)0.0 (0)4.2 (25)
 ART refill50.7 (36)49.1 (80)73.6 (131)77.9 (148)65.6 (395)
 ART user consult14.1 (10)8.0 (13)15.2 (27)13.2 (25)12.5 (75)
 PMTCT0.0 (0)23.9 (39)0.0 (0)0.0 (0)6.5 (39)
Time (months) enrolled at clinic
 <6 months57.7 (41)46.6 (76)35.4 (63)25.3 (48)37.9 (228)<0.001
 6 months–2 years26.8 (19)42.3 (69)28.1 (50)66.3 (126)43.9 (264)
 >2 years15.5 (11)11.0 (18)36.5 (65)8.4 (16)18.3 (110)
On ARVs69.0 (49)68.7 (112)91.0 (162)90.5 (172)82.2 (495)<0.001
Most recent CD4 count (cells/µl)
 <509.9 (7)1.2 (2)8.4 (15)9.5 (18)7.0 (42)0.032
 51–20033.8 (24)30.1 (49)29.8 (53)34.7 (66)31.9 (192)
 >20052.1 (37)63.8 (104)57.3 (102)54.7 (104)57.6 (347)
 No count4.2 (3)4.9 (8)4.5 (8)1.1 (2)3.5 (21)
On TB treatment7.0 (5)1.2 (2)7.9 (14)3.7 (7)4.7 (28)0.021
Total 100.0 (71) 100.0 (163) 100.0 (178) 100.0 (190) 100.0 (602)

Current in Swazi Emalangeni.

E11=£1.00 at the time of survey.

Socio-demographic and health-related characteristics of exit survey sample (N=602) Current in Swazi Emalangeni. E11=£1.00 at the time of survey. Table 3 presents measures of a priori “felt stigma” among respondents, which may also confound the association between clinic model and fear of status exposure. Most clients were not concerned if others in the waiting room knew their status (mean score=2.21 (out of 5.00), SD 1.5); however, those at the two integrated sites were more concerned: the proportion scoring ≥4 out of 5 ranged from 36.6% at the most integrated site (Clinic A) to 7.4% at the fully stand-alone site (Clinic D). Clients infrequently reported partner abandonment due to HIV (8%), and, among those with a regular partner (N=497), 13.3% had not disclosed their status; both of these did not vary significantly by clinic.
Table 3

Felt stigma among clients

Clinic AClinic BClinic CClinic DAll clinicsP value

Variable% (N)% (N)% (N)% (N)% (N)2)
Very bothered by others knowing status (score≥4/5)36.6 (26)32.5 (53)19.1 (34)7.4 (14)21.1 (127)<0.001
Abandoned by a partner due to HIV status5.6 (4)4.9 (8)11.2 (20)8.9 (17)8.1 (49)0.150
Total (all clients) 100.0 (71) 100.0 (163) 100.0 (178) 100.0 (190) 100.0 (602)

Disclosed status to regular partner (among those with regular partner, N=497)91.4 (53)83.3 (125)88.8 (127)86.3 (126)86.7 (431)0.369
Total (with regular partner) 191.4 (58) 183.3 (150) 188.8 (143) 186.3 (146) 186.7 (497)
Felt stigma among clients Figure 1 presents ratings of stigmatizing experiences within the clinic. There was a general perception that HIV status could be exposed through clinic attendance (“Others can find out my status when I come here”) (mean 3.06/5.00, SD 1.5). Clients at Clinic C, the partially stand-alone hospital model, were particularly concerned (4.09, SD 1.3). However, clients at Clinic D felt most protected with their status, despite being in an HIV-only facility (2.44, SD 1.4). Most clients, across all sites, trusted staff to maintain their status confidentially, with low fears of gossiping (1.76, SD 1.1); and almost all felt strongly that staff treated PLWH with respect (4.28, SD 0.9). There were significant differences in client feelings on HIV service specialization (“It's better if HIV services are separated from other health services”) (F=76.3, p<0.001) with those at stand-alone sites feeling strongly that these services should be kept separate (4.43 and 4.09 at Clinics C and D, respectively).
Figure 1

Stigmatization in the clinic (N=602).

Stigmatization in the clinic (N=602). In a crude analysis, factors with some evidence of association with fear of status exposure (p<0.15) included clinic model, sex, age, income and costs to reach clinic. Table 4 shows the results of the multivariable analysis on perceived HIV status exposure. The total proportion of clients with a high perceived exposure risk (≥4.00/5.00) was 44%. After controlling for all other variables in the table, the odds of perceived exposure were higher at the partially integrated site, Clinic B, compared to the fully stand-alone site, Clinic D (aOR 3.33, 95% CI 1.98–5.60), and were much higher at Clinic C, the partially stand-alone hospital model (aOR 11.84, 95% CI 6.89–20.36). There was no statistical difference in perceived exposure between clients at the most integrated and most stand-alone site (A and D). Other factors associated with fear of exposure at the clinic (p<0.05) were younger age; living further away from the clinic (in cost terms); time enrolled at clinic; and not being on TB treatment. Sex was not associated with fear of HIV status exposure (p>0.05).
Table 4

Crude and adjusted odds of fearing exposure of HIV status through clinic attendance (N=602)

Perceived exposure score≥4

VariableCategoryNN (%)cOR95% CIaOR*95% CI
Clinic modelClinic A7116 (22.5)1.13(0.58–2.18)0.92(0.45–1.89)
Clinic B16374 (45.4)3.22(2.02–5.14)3.33(1.98–5.60)
Clinic C178135 (75.8)12.16(7.43–19.87)11.84(6.89–20.36)
Clinic D19039 (20.5)1.001.00
Age groupLess than 259942 (42.4)1.001.00
25–2913764 (46.7)1.19(0.71–2.00)1.13(0.62–2.06)
30–39225107 (47.6)1.23(0.76–1.98)1.13(0.64–1.98)
40 or over14151 (36.2)0.77(0.45–1.30)0.55(0.29–1.06)
Distance from clinic (cost)E0–E5274114 (41.6)1.001.00
E6–E1014356 (39.2)0.90(0.60–1.37)0.92(0.57–1.49)
E11–E2012258 (47.5)1.27(0.83–1.95)1.13(0.67–1.93)
>E206336 (57.1)1.87(1.08–3.26)2.97(1.53–5.78)
Time enrolled at clinic<6 months22896 (42.1)1.001.00
6 months–2 years26493 (35.2)0.75(0.52–1.08)0.89(0.58–1.37)
>2 years11075 (68.2)2.95(1.82–4.76)2.04(1.17–3.59)
On ARVsNo10738 (35.5)0.66(0.42–1.01)0.67(0.40–1.11)
Yes495226 (45.7)1.001.00
TB treatmentNo treatment574254 (44.3)1.001.00
On treatment2810 (35.7)0.70(0.32–1.54)0.40(0.16–1.00)

Adjusted for all other variables in table.

Crude and adjusted odds of fearing exposure of HIV status through clinic attendance (N=602) Adjusted for all other variables in table.

Qualitative results

Table 5 summarizes the key background characteristics of the qualitative sample.
Table 5

Overview of qualitative client sample

CharacteristicCategoryNo. of respondents (N=22)
Clinic (round 2/3 in brackets)Clinic A5 (4)
Clinic B6 (5)
Clinic C5 (3)
Clinic D6 (4)
SexMale7
Female15
Mean age (range)31 (22–45)
Pregnancy status (f)Pregnant5
Not pregnant10
EducationPrimary7
Secondary12
College or above2
Adult education1
Monthly household income (SLZ)<5003
500–10006
1000–30009
3000–50003
>50001
Overview of qualitative client sample The data suggested that most clients, across all models of care, felt (or had felt) discomfort about attending ART clinics, caused primarily by fear of status exposure at the clinic and concern about bumping into acquaintances. However, this anxiety was also related to clients’ own acceptance of their HIV status; those experiencing greater discomfort were those who had failed to disclose their status to partners, family or friends. Acceptance of status and increasing comfort in HIV clinics were seen as a gradual progression. The data also suggested that the relationship between clinic model, privacy and fear of status exposure was complex. For some, integrated care helped to protect their HIV status, in particular when it was perceived that there was no specific room for ART services: someone who came for treatment sits on the same bench [as others] […] which is different to other hospitals where it's even written or labelled on the doors and then it's obvious that you're going for [HIV] services. So here […] it's only me and the doctor who know what I've come for. [Female, Clinic A] Integrated care implied that you could “blend with the rest” and avoid identification as a PLWH. Clinic A, where there was no specific HIV nurse or doctor, was found to be particularly effective at delivering this benefit, and several clients there selectively chose that site due to concerns over privacy and confidentiality. However, HIV status could still be revealed at integrated clinics. Indicative signs included collecting food parcels (only for ART clients), carrying green ART registration cards, attending the doctor's room or collecting ART drugs. Thus, discomfort was experienced, even at Clinic A: It does get uncomfortable [waiting], especially when there are a lot of people in there. Sometimes even if people don't ask you, you feel like they somehow know why you came here. And then there's the food they give you right when you walk out. I've decided I'm not taking the food again …. [Female, Clinic A] ART provision in specified rooms at Clinic B seemed particularly stigmatizing, implying that “people can see that that queue is for those who are positive.” While clinic staff had made an effort to label the ART room “Room 3,” to reduce stigma, providers could still exacerbate status exposure risk: [They] announced that those who were there to get pills needed to go to Room 3 [… It] was really bad because everyone was just sitting in the waiting room, and nobody was paying attention to what others were there for … then all of a sudden we have to get up because we're the ones that've been called. People didn't need to know …. [Female, Clinic B] Conversely, at stand-alone sites there seemed to be lower levels of discomfort. Many clients felt their status was protected there because everybody else was positive. Clients, who formerly hid their pills, felt free to be open: At first I'd put the pills in a plastic bag so they couldn't see them, but now I don't care […] I feel free and at the hospital when you meet others like yourself you talk, and they're also not afraid anymore, we no longer discriminate against each other. [Male, Clinic C] Many clients at these sites reported gaining encouragement from other PLWH; conversations about health status were therapeutic and also supported drug adherence. For some, such interactions were the only opportunity to be open about their HIV status, since disclosure at home was impossible. This support contrasted with experiences of those at integrated sites; for example, one client at Clinic B was keen to chat with other PLWH but found it too difficult to identify them. Aspects of clinic reorganization (occurring either before or during the study) also influenced status exposure. At fully integrated Clinic A, clients could collect drugs inside the dispensary, rather than through a public window; new filing systems were developed so that all clients used the same coloured files; a new drugs form replaced the green ART patient cards; and a triaging nurse was hired who would see clients in private. At Clinic D, the ART waiting room had been separated from the voluntary counselling and testing of HIV (VCT) waiting room to increase confidentiality, and the clinic had been labelled a “Help Centre” rather than “HIV clinic.”

Discussion

This study has demonstrated that stigma associated with HIV status exposure was influenced by the organization of care, though not always in ways that had been anticipated. While integrated sites increased confidentiality for some clients, this benefit was not universal. Aspects of service organization that breeched confidentiality included name-calling, room labelling, providing food packages, the use of ART patient cards and drug dispensing systems. After controlling for client-level differences between sites, those at partially integrated Clinic B had over three times greater odds of perceiving status exposure than those at the HIV-only clinic, Clinic D. Clients at the hospital model also strongly perceived exposure risk (over 13 times greater odds than Clinic D), most likely due to the location of the “ART building” nearby other hospital departments. Therefore, partially integrated/stand-alone models entailed the greatest risk of status exposure for HIV clients. However, many clients at stand-alone sites were not bothered if others knew what they came in for, and most desired ART to remain separated from other health services (in contrast to clients at integrated sites). Comfort in stand-alone sites was partly attributable to mutual support gained from other PLWH in waiting rooms, an effect that has been found in a study of ART decentralization in Zambia [20]. However, this benefit was generally unavailable to those in integrated sites. It is conceivable that by “forcing” status exposure through clinic attendance, HIV-only services were contributing to a therapeutic process, that is, the psycho-social benefits of disclosure that have been noted elsewhere [8]. The strong preferences among clients at stand-alone sites to maintain dedicated HIV services is interesting and underscores similar findings from a study of South African ART clinics which demonstrated fears about decentralization of ART to primary care [39]. While not documented in this article, the broader study found that part of this preference also stems from perceptions of higher quality care in ART units compared to outpatient facilities [34], a finding also noted elsewhere [40]. Strategies to integrate HIV care with PHC and hospital out-patient services may therefore prove unpopular with HIV clients and furthermore have the potential to increase HIV-related stigmatization if not properly managed. Several study limitations should be acknowledged. First, the observational design precludes determination of causality between exposure (to clinic model) and stigma outcomes. While longitudinal research is required to establish a more robust association, the additional use of qualitative methods here aimed to compensate for this weakness by exploring user perceptions on the way that the model of care impacted on felt stigma. The high degree of congruence across cases and repeated interviews underscore the reliability of these data and interpretations made. Second, the survey may have suffered from response bias: refusal rates were higher at Clinic A and Clinic B. While no further data were captured on this group, stigma could have been a reason for refusing interview, and thus stigma measurements at these sites may be underestimated. Third, the study suffers from selection bias in the absence of client randomization across clinics. While the use of a multivariable model attempted to control for confounding in the quantitative sample, it is unlikely to have completely eliminated it. Finally, the small number of clinics studied from one town in Swaziland restricts generalizability of the findings. However, the case study approach taken with this study aimed to provide an in-depth understanding of health care experiences and processes, allowing lessons to be learned for other similar settings with a high HIV burden. It is also important to note that this study has only reviewed one potential outcome of service integration. The broader study in which the research was undertaken has investigated other potential benefits, including access to SRH services and client satisfaction [34], while the larger Integra Initiative also evaluates integration processes outcomes, including provider perceptions on service integration, resource-use efficiency and health outcomes, across multiple clinics and countries. Any evaluation of specific models of care needs to consider the totality of potential benefits and risks of service integration.

Conclusions

To conclude, the organization of care influences felt HIV stigma within clinics but does not determine it. Policy-makers and programme managers can take steps to reduce HIV-related stigma caused by structural factors, including within stand-alone HIV services. Successful strategies include careful clinic and room labelling, ensuring that HIV client records are unidentifiable, dispensing drugs either in private or without easy identification, finding discreet ways to deliver food packages to PLWH and separating waiting areas of VCT and ART clients at HIV-only clinics. ART clinics also have the potential to further diminish stigma by allowing PLWH to share experiences and coping mechanisms with others facing similar health and social problems and to benefit from the therapeutic process of disclosure. Such mechanisms need to be promoted at integrated sites where clients may not recognize other clients living with HIV. Ongoing debates about the integration of HIV care within PHC services should therefore take cognizance of the potential benefits that stand-alone models of care may offer, in particular in high HIV prevalence settings where treatment needs have the potential to overwhelm the PHC system.
  22 in total

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Authors:  S H Mayhew
Journal:  Reprod Health Matters       Date:  2000-11

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Authors:  Pranitha Maharaj; John Cleland
Journal:  Health Policy Plan       Date:  2005-09       Impact factor: 3.344

Review 3.  Models of care for patients with HIV/AIDS.

Authors:  C M Osborne; E van Praag; H Jackson
Journal:  AIDS       Date:  1997       Impact factor: 4.177

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Authors:  Phelgona A Otieno; Pamela K Kohler; Rose K Bosire; Elizabeth R Brown; Steven W Macharia; Grace C John-Stewart
Journal:  AIDS Care       Date:  2010-06

5.  Patient satisfaction with services in outpatient clinics at Mulago hospital, Uganda.

Authors:  Juliet Nabbuye-Sekandi; Fredrick E Makumbi; Arabat Kasangaki; Irene Betty Kizza; Joshua Tugumisirize; Edith Nshimye; Specioza Mbabali; David H Peters
Journal:  Int J Qual Health Care       Date:  2011-07-19       Impact factor: 2.038

6.  Situating experiences of HIV-related stigma in Swaziland.

Authors:  R Root
Journal:  Glob Public Health       Date:  2010

7.  Combating HIV stigma in health care settings: what works?

Authors:  Laura Nyblade; Anne Stangl; Ellen Weiss; Kim Ashburn
Journal:  J Int AIDS Soc       Date:  2009-08-06       Impact factor: 5.396

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Authors:  H Bradley; A Bedada; A Tsui; H Brahmbhatt; D Gillespie; A Kidanu
Journal:  AIDS Care       Date:  2008-01

9.  Potential initiators of HIV-related stigmatization: ethical and programmatic challenges for PMTCT programs.

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Journal:  Lancet       Date:  2008-09-13       Impact factor: 79.321

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2.  Implementation and Operational Research: Effects of Antenatal Care and HIV Treatment Integration on Elements of the PMTCT Cascade: Results From the SHAIP Cluster-Randomized Controlled Trial in Kenya.

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3.  Patient-provider perceptions on engagement in HIV care in Argentina.

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4.  Sexual and reproductive health and human rights of women living with HIV.

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Journal:  J Int AIDS Soc       Date:  2015-12-01       Impact factor: 5.396

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Authors:  Melissa Hope Ditmore; Dan Allman
Journal:  J Int AIDS Soc       Date:  2013-03-28       Impact factor: 5.396

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Journal:  Harm Reduct J       Date:  2015-09-17

7.  Exploring the Feasibility of Service Integration in a Low-Income Setting: A Mixed Methods Investigation into Different Models of Reproductive Health and HIV Care in Swaziland.

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8.  Designing a package of sexual and reproductive health and HIV outreach services to meet the heterogeneous preferences of young people in Malawi: results from a discrete choice experiment.

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