Abstract
Little is known about HIV medication concealment behaviors and the effect of medication concealment on antiretroviral therapy (ART) adherence among people with HIV (PWH). This study aims to 1) describe medication concealment behaviors and factors associated with these behaviors, and 2) assess the association between medication concealment and suboptimal ART adherence. The Florida Cohort Study enrolled adult PWH from community-based clinics around the state from October 2020 to September 2022 (n=416, 62% aged 50+, 56% male, 44% non-Hispanic Black, 18% Hispanic). Participants responded to questions about sociodemographics, ART adherence (≥85%), symptoms of depression, social networks and disclosure to their network, and actions to conceal ART to avoid inadvertent disclosure of their HIV status. Analyses were conducted using multivariable logistic regression models. The most common concealment behavior was hiding ART while having guests over (32%), followed by removing ART labels (26%), and putting ART into a different bottle (16%). Overall, 43% reported ≥1 behavior. In multivariable models, depressive symptoms, incomplete disclosure of HIV to close social networks, and not having a close social network were associated with ART concealment. After adjusting for risk factors for suboptimal ART adherence, endorsing hiding medication while having guests was associated with suboptimal ART adherence (aOR 2.87, 95% CI 1.15–7.55). Taking any action and other individual behaviors were not associated. ART concealment behaviors were common but did not consistently negatively influence adherence when accounting for other factors. PWH may want to receive ART medications in ways that ensure privacy and reduce the risk of inadvertent disclosure.
Keywords: HIV, anti-retroviral agents, disclosure, adherence, stigma
Introduction
In 2019, the United States (US) Department of Health and Human Health Services (HHS) proposed the Ending HIV Epidemic (EHE) Initiative with the goal of reducing the numbers of incident infections in the U.S. by 75% within 5 years and then by 90% within 10 years [1]. Florida is a high HIV incidence and prevalence setting and, in light of this, the EHE Initiative identified seven Florida counties as priority areas [1,2]. A central pillar of the EHE is achieving rapid and sustained viral suppression for people with HIV (PWH), which requires improved access and adherence to antiretroviral therapy (ART) [1]. To ensure effective treatment, ART needs to be taken with minimal deviation from prescribed directions, requiring consistency in medication-taking behavior [3]. Reaching high levels of ART adherence is vital in PWH to help them reach sustained viral suppression, minimize resistance, and improve individual survival [4]. Research has found that while traditionally 90–95% adherence has been recommended, viral suppression can potentially be maintained at levels of 80% [5,6]. Achieving viral suppression has wide public health implications, since those with an undetectable viral load cannot transmit HIV sexually (referred to as U=U or undetectable equals untransmittable) [7,8]. Suboptimal adherence can lead to viral resistance, having a detectable viral load, increasing the risk of further transmission, and decreasing the effectiveness of key ART medications [9–11]. Resistance can also make it more difficult to achieve the EHE goals if the resistant strains are transmitted to others [12,13].
Despite widespread knowledge of the importance of adherence, poor ART adherence is still common with 42% of PWH not achieving 80% adherence [14]. Research has found that the Southern U.S. has one of the lowest rates of optimal (>90%) ART adherence nationally at 73% [14,15] as well as one of the lowest rates of viral suppression at 63% [16]. Many factors negatively influence ART adherence including a lack of social support, high travel times to the clinic or pharmacy, mental health conditions, and low levels of trust in HIV care providers and the medical establishment [17]. Additionally, race/ethnicity [18,19], age [20], sex [21], substance use [18], and stigma [17,22,23] have all been found to be significantly associated with ART adherence and viral suppression.
A wider disclosure of one’s HIV status to their social network is associated with higher ART adherence [24–27], but a fear of disclosure of one’s HIV status to their social circle is highly associated with anticipated stigma where those who expect to be discriminated against for their condition are less likely to share their status [28,29]. Since ART is most commonly used to treat HIV, the presence of ART medications can inadvertently disclose one’s HIV status. Given this, having to take ART remains a concern for many PWH who wish to keep their HIV status private and PWH who are afraid of experiencing HIV-related stigma [30,31]. As such, steps to hide one’s HIV status can be taken, some of which are disruptive to care and might reduce ART adherence like traveling far away to receive care or actively hiding one’s medications [32]. Medication hiding to conceal one’s disease status has been shown to be associated with reduced adherence to medication for other disease conditions including diabetes and epilepsy [33,34]. Previous studies on the effects of medication concealment behaviors and fear of disclosure on adherence among those with HIV have yielded divergent findings [35–38]. Additionally, many studies have focused on young populations and those outside the US. Little is known about specific HIV medication concealment behaviors and the effect of medication concealment on HIV adherence and viral suppression among adult PWH in the US.
The aims of the present study are 1) to describe medication concealment behaviors and factors associated with these behaviors, and 2) assess if medication concealment is associated with optimal ART adherence among PWH enrolled in the Florida Cohort Study.
Methods
Study Sample
The Florida Cohort study examines healthcare utilization and outcomes among PWH around the state with the goal of informing interventions to improve healthcare services and overall health [39]. Participants were recruited for the Florida Cohort Study from private clinics, health departments, and community settings in six counties (Alachua, Brevard, Hillsborough, Marion, Miami-Dade, and Palm Beach), three of which (Hillsborough, Miami-Dade, and Palm Beach) are EHE priority areas. To be eligible for the parent study, individuals had to be at least 18 years of age, living with HIV, and receive HIV care within Florida. Questionnaires were available in English, Spanish, and Haitian Creole. Participants were eligible for the present analyses if they completed the baseline questionnaire between October 2020 and September 2022, reported being prescribed ART, and answered the question about medication concealment (n=416). All data in this study come from the baseline questionnaires.
Demographics
Participants responded to questions about their demographic information (age, race and ethnicity, rurality, education, sex, etc.). Age was broken into three categories, those under the age of 35, those aged 35–49, and those aged 50 and older. Race and ethnicity were categorized as non-Hispanic White, non-Hispanic Black, Hispanic, and Multiracial or Other. For education, participants were categorized into those who had a high school-level education (or GED) or less and those who had at least some post-secondary education. Those who reported living on the street, in a car, or in a shelter in the preceding 12 months were categorized as unhoused. For sexual orientation, those who identified as gay, lesbian, or bisexual were compared to those who identified as heterosexual or straight. Rurality was classified by the Rural-Urban Commuting Area (RUCA2) codes and the classification scheme developed by the University of Washington [40,41].
ART Concealment
Participants were asked if they had taken any of five actions to conceal their ART in order “to try to prevent others from finding out about your HIV status” in the preceding 12 months. The actions were 1) actively hiding ART when people came to their home, 2) removing labels from the ART pill bottles, 3) putting ART into a different container, 4) changing the pharmacy where they got their ART, and 5) traveling at least 30 miles to pick up their ART. These responses were based on the study team’s past observations and conversations with the community and conversations with providers and PWH. Participants could endorse multiple actions from this list or select a “none of the above” option. An all-inclusive variable was created so that those who reported taking any of the five actions were compared to those who reported taking none of the actions.
Adherence
Participant adherence to their ART regimen in the preceding 30 days was assessed via a single item: “In the past 30 days, on how many days did you miss at least one dose of any of your HIV medication?”. This reported number was used to calculate the percentage of days during which the participant took their medication as prescribed. These percentages were then categorized using a cutoff of 85%. Past research from the Florida Cohort team found that optimal levels of ART adherence that maximized the likelihood of viral suppression were between 80%–90% [42].
Risk Factors for Non-Adherence
The questionnaire also asked about alcohol and other substance use. Alcohol use was assessed using the AUDIT-C score [43–45]. Those who were assigned female at birth with a score of 3 or more or those who were assigned male at birth with a score of 4 or more were categorized as having at-risk drinking, and those with some use but who fell below these thresholds were categorized as having not at-risk drinking [45]. Participants who reported no alcohol use in the past 12 months were categorized as abstinent. For both injection and non-injection drug use, those who reported any use in the past 12 months were compared to those who did not report past-year use. Symptoms of anxiety and depression were assessed using the GAD-7 [46] and PHQ-8 [47], respectively. Those with a score of 10 or more on these measures were classified as having present symptoms.
Disclosure and Stigmatizing Experiences
Participants were asked to estimate the number of people in their close social network, defined as “people that you feel close to, such as family and best friends, and other people important to you or with whom you communicate frequently.” Those who indicated that their close social network included at least one person were then asked if they had disclosed their HIV status to all, some, or none of their network. Disclosure was categorized into three groups: those without a social network, those who had disclosed to none or some of their close social network (incomplete disclosure), and those who reported disclosure to their entire network (complete disclosure). Three individual items related to recent stigmatizing experiences were also assessed. These items were developed by the research team based on unpublished past work within the community and modern communication platforms that are not accounted for in other stigma measures. Three potentially stigmatizing experiences were included and assessed individually: hearing friends or coworkers say negative things about PWH, seeing negative posts about PWH on social media, and being rejected on dating applications or receiving “mean” messages on these applications due to their HIV status. For each of the three variables participants were categorized so that those who reported having that experience in the past 12 months were compared to those who had never had that experience or who those who had experienced the stigmatizing event more than 12 months ago.
Statistical Analyses
The research team assessed the data for missing values and conducted single imputation using the ‘missRanger’ package in R v4.2.2 [48,49]. MissRanger uses a random forest method to replace missing values. These analyses were run so that five non-missing values were sampled for predictive mean matching and the default of 500 chained trees. A table with the proportion of missing values is presented in the supplementary information along with all analyses using a complete case analysis. All available data in the dataset were used for imputation.
Basic descriptive statistics were calculated for optimal ART adherence, overall ART concealment, each concealment behavior individually, demographics, and all other covariates. In bivariate and multivariable analyses where ART concealment was the outcome, only the overall ART concealment variable was used. For models where ART adherence was the outcome separate models were run for overall ART concealment and each behavior individually. Simple logistic regression models were used for bivariate analyses to examine which demographic, risk factors for ART nonadherence, disclosure and stigma variables were associated with medication concealment. Variable selection for the multivariable models was done empirically due to the lack of evidence in the literature, variables with significant associations to medication concealment were included. To assess whether medication concealment behaviors were associated with suboptimal ART adherence, multivariable logistic regression models were used which included risk factors for nonadherence to ART identified in the literature and variables associated with adherence in our dataset, as well as the overall ART concealment variable [18,23,38,50–53]. The models including changing pharmacies and traveling 30 or more miles behaviors used a Firth logit model (‘logistf’ package in R) to account for the small cell sizes [54,55]. Exploratory mediation analyses were conducted using the ‘mediation’ package in R to see if reporting one or more ART concealment behavior mediated the relationship between risk factors for suboptimal ART adherence and ART adherence [56,57]. Exposures in these analyses included the variables that were associated with both ART adherence and overall ART concealment and were adjusted for other factors related to both.
Ethics Statement
The Florida Cohort was approved by the local Institutional Review Board and all participants gave written informed consent prior to their participation in the study.
Results
Overall, 416 participants were included in the present analyses. The majority were over the age of 50 (62%), identified as male (56%), had a high school education or less (53%), and the vast majority had adhered to their ART regimen at least 85% of the time (93%). A plurality of participants were non-Hispanic Black (44%), and around one-eighth were Hispanic (18%) See Table 1 for participant demographics and behaviors by ART concealment endorsement.
Table 1.
Sample Demographics of 416 PLWH in the Florida Cohort Study and their Relationship to ART Concealment Behaviors
Characteristic | No Did Not Endorse ART Concealment Behaviors (N=238) | Endorsed 1+ ART Concealment Behaviors (N=178) | OR (95% CI) |
---|---|---|---|
Age | |||
<35 | 23 (39.7) | 35 (60.3) | Ref |
35–49 | 48 (48.0) | 52 (52.0) | 0.71 (0.37–1.37) |
50+ | 167 (64.7) | 91 (35.3) | 0.36 (0.20–0.64) |
Symptoms of Anxiety | |||
Absent | 205 (62.3) | 124 (37.7) | Ref |
Present | 33 (37.9) | 54 (62.1) | 2.71 (1.67–4.44) |
Drinking Status | |||
No alcohol use | 82 (70.7) | 34 (29.3) | Ref |
Not at risk | 84 (56.8) | 64 (43.2) | 1.84 (1.10–3.10) |
At risk | 72 (47.4) | 80 (52.6) | 2.68 (1.62–4.50) |
Symptoms of Depression | |||
Absent | 199 (64.0) | 112 (36.0) | Ref |
Present | 39 (37.1) | 66 (62.9) | 3.01 (1.91–4.79) |
Disclosure to Close Social Network | |||
Complete Disclosure | 106 (73.6) | 38 (26.4) | Ref |
Incomplete Disclosure | 116 (49.2) | 120 (50.8) | 2.89 (1.85–4.56) |
No Close Network | 16 (44.4) | 20 (55.6) | 3.49 (1.65–7.51) |
Other Drug Use in Past 12 months | |||
No | 111 (60.3) | 73 (39.7) | Ref |
Yes | 127 (54.7) | 105 (45.3) | 1.26 (0.85–1.86) |
Highest Level of Education | |||
High School or less | 127 (57.5) | 94 (42.5) | Ref |
At least some college | 111 (56.9) | 84 (43.1) | 1.02 (0.69–1.51) |
Gender | |||
Male | 138 (59.7) | 93 (40.3) | Ref |
Female | 91 (54.8) | 75 (45.2) | 1.22 (0.82–1.83) |
Transgender or Non-Binary | 9 (47.4) | 10 (52.6) | 1.65 (0.64–4.30) |
Housing Status | |||
Unhoused | 22 (45.8) | 26 (54.2) | Ref |
Housed | 216 (58.7) | 152 (41.3) | 0.60 (0.32–1.09) |
Injection Drug Use in Past 12 months | |||
Yes | 9 (37.5) | 15 (62.5) | Ref |
No | 229 (58.4) | 163 (41.6) | 0.43 (0.18–0.98) |
Marital Status | |||
Single | 131 (57.0) | 99 (43.0) | Ref |
Divorced/Widowed | 63 (57.3) | 47 (42.7) | 0.99 (0.62–1.56) |
Long-Term Partner | 44 (57.9) | 32 (42.1) | 0.96 (0.57–1.62) |
ART Adherence | |||
85%+ | 230 (59.3) | 158 (40.7) | Ref |
<85% | 8 (28.6) | 20 (71.4) | 3.64 (1.62–8.97) |
Sexual Orientation | |||
Non-Sexual Minority | 124 (59.6) | 84 (40.4) | Ref |
Sexual Minority | 114 (54.8) | 94 (45.2) | 1.22 (0.83–1.80) |
Race/Ethnicity | |||
Non-Hispanic White | 75 (55.6) | 60 (44.4) | Ref |
Non-Hispanic Black | 102 (56.4) | 79 (43.6) | 0.97 (0.62–1.52) |
Hispanic | 43 (58.9) | 30 (41.1) | 0.87 (0.49–1.55) |
Other/Multiracial | 18 (66.7) | 9 (33.3) | 0.63 (0.25–1.46) |
Received Stigmatizing Messages on Dating Apps | |||
Did not experience | 216 (58.5) | 153 (41.5) | Ref |
Experienced | 22 (46.8) | 25 (53.2) | 1.60 (0.87–2.97) |
Heard Stigmatizing Comments | |||
Did not experience | 178 (64.0) | 100 (36.0) | Ref |
Experienced | 60 (43.5) | 78 (56.5) | 2.31 (1.53–3.52) |
Saw Stigmatizing Comments Online | |||
Did not experience | 174 (61.7) | 108 (38.3) | Ref |
Experienced | 64 (47.8) | 70 (52.2) | 1.76 (1.16–2.67) |
Rurality | |||
Rural | 31 (52.5) | 28 (47.5) | Ref |
Urban | 207 (58.0) | 150 (42.0) | 0.80 (0.46–1.40) |
Study Site | |||
North Central Florida | 69 (52.3) | 63 (47.7) | Ref |
Melbourne | 57 (53.3) | 50 (46.7) | 0.96 (0.58–1.60) |
Miami | 44 (60.3) | 29 (39.7) | 0.72 (0.40–1.29) |
Tampa | 68 (65.4) | 36 (34.6) | 0.58 (0.34–0.98) |
Engaging in at least one ART concealment behavior was reported by 180 participants, just under half of the sample (43%; see Figure 1). Hiding ART while having guests over was the most frequently endorsed behavior (32%), followed by removing ART labels (26%), and putting ART into a different bottle (16%). Changing pharmacies and traveling for at least 30 miles were both endorsed less frequently (4% and 3% of participants, respectively).
Figure 1.
ART Concealment Behaviors Endorsed by 416 PLWH in the Florida Cohort
In bivariate analyses, having symptoms of depression or anxiety, drinking alcohol (including both participants who did and did not meet the criteria for at-risk drinking), having incomplete disclosure to their close social network or not having a close social network, hearing stigmatizing comments from friends or co-workers, and seeing stigmatizing messages online, were associated with endorsing any ART concealment behavior (see Table 1). Conversely, those aged 50 and older and those with optimal ART adherence were less likely to endorse any ART concealment behaviors. The multivariable model was adjusted for significant variables from the bivariate analysis (age, drinking status, depression, anxiety, disclosure, and stigmatizing experiences). In the multivariable model, symptoms of depression, at-risk drinking, incomplete disclosure, and reporting not having a close social network were still significantly associated with ART concealment. Age, stigmatizing experiences, symptoms of anxiety, and drinking alcohol below at-risk levels were no longer associated with ART concealment (see Table 2).
Table 2.
Multivariable Models of Factors Associated with ART Concealment Behaviors among 416 persons with HIV in Florida
Characteristic | aOR (85% CI)a |
---|---|
Age | |
<35 | Ref |
35–49 | 0.96 (0.47–1.95) |
50+ | 0.52 (0.27–1.01) |
Symptoms of Anxiety | |
Absent | Ref |
Present | 1.43 (0.77–2.67) |
Drinking Status | |
Non-drinker | Ref |
Not at risk | 1.59 (0.91–2.80) |
At risk | 2.38 (1.37–4.18) |
Symptoms of Depression | |
Absent | Ref |
Present | 2.04 (1.15–3.66) |
Disclosure to Close Social Network | |
Complete Disclosure | Ref |
Incomplete Disclosure | 2.94 (1.82–4.84) |
No Close Network | 3.65 (1.63–8.31) |
Heard Stigmatizing Comments | |
Did not experience | Ref |
Experienced | 1.36 (0.82–2.25) |
Saw Stigmatizing Comments Online | |
Did not experience | Ref |
Experienced | 1.34 (0.81–2.22) |
Model included age, symptoms of anxiety and depression, drinking, disclosure to close social network, heard stigmatizing comments from friends or coworkers, and saw stigmatizing comments online
Endorsing at least one ART concealment behavior, hiding ART while having guests, and removing labels from ART bottles were significantly associated with suboptimal ART adherence in the bivariate analyses. Endorsing at least one ART concealment behavior and removing ART labels were no longer significantly associated when other variables associated with ART adherence were added to the model (see Table 3). Only hiding ART while having guests was associated with ART adherence in the adjusted model. In the mediation models, the indirect path was not significant for any of the four identified models where the exposures were drinking status, symptoms of depression, disclosure to close social network, and seeing stigmatizing messages online (data not shown).
Table 3.
Factors associated with suboptimal ART Adherence among 416 PWH in Florida
ART Adherence 85%+ | ART Adherence <85% | OR (95%CI) | aOR (95% CI)a | |
---|---|---|---|---|
Endorsed 1+ Action to Conceal ART | ||||
No | 230 (59.3) | 8 (28.6) | Ref | Ref |
Yes | 158 (40.7) | 20 (71.4) | 3.64 (1.62–8.97) | 1.69 (0.65–4.62) |
Hid ART while having guests | ||||
No | 274 (70.6) | 10 (35.7) | Ref | Ref |
Yes | 114 (29.4) | 18 (64.3) | 4.33 (1.97–10.01) | 2.87 (1.15–7.55) |
Removed labels from ART bottles | ||||
No | 296 (76.3) | 14 (50.0) | Ref | Ref |
Yes | 92 (23.7) | 14 (50.0) | 3.22 (1.47–7.05) | 1.80 (0.73–4.39) |
Put ART in a different container | ||||
No | 327 (84.3) | 23 (82.1) | Ref | Ref |
Yes | 61 (15.7) | 5 (17.9) | 1.17 (0.38–2.96) | 0.42 (0.12–1.24) |
Changed pharmacies | ||||
No | 371 (95.6) | 27 (96.4) | Ref | Ref |
Yes | 17 (4.4) | 1 (3.6) | 1.16 (0.12–4.88) | 0.47 (0.04–2.54) |
Travelled 30+ miles to get ART | ||||
No | 376 (96.9) | 28 (100.0) | Ref | Ref |
Yes | 12 (3.1) | 0 (0.0) | 0.53 (0.004–4.20) | 0.33 (0.002–2.86) |
Separate models were used for each of the variables in the table. All models adjusted for age, drinking status, injection and non-injection drug use, disclosure to their close social network, symptoms of depression, housing status, and saw stigmatizing messages on social media.
Discussion
Our analysis revealed that 43% of PWH participating in the Florida Cohort Study endorsed at least one ART concealment behavior that was done to prevent disclosure of HIV to others. Of these, the most frequently ssreported ART concealment behavior was hiding ART when having guests over. Furthermore, many participants removed ART labels or put their ART in a different bottle. Virological failure and reduced ART adherence have been linked to patient repacking of ART [58]. In addition, those with incomplete disclosure to their social network were 3 times more likely and those with no close social network were over 4 times more likely to endorse any ART concealment behavior compared with those who had complete disclosure to their social network. ART concealment behaviors were also positively associated with symptoms of depression and at-risk drinking patterns.
Since concealment of HIV status from friends and family members requires people to be more guarded in what they say and do to avoid inadvertent disclosure, it is possible that this increases the stress placed on PWH [35]. This is supported by the fact that several studies have reported that openness with friends and family has been linked to psychological benefits [25,59,60]. Additionally, disclosing HIV status to at least one friend has been found to be associated with improved immunological status [35]. Some studies have found that PWH might avoid disclosure not only because of worries of stigma, but because they have yet to accept their status themselves. A study in Australia found that men who have sex with men with strong social support networks were more accepting of their diagnoses and coped better with their diagnoses than those without strong social support networks and, as a result, could receive better social support and healthcare support [61]. However, it may not be safe for PWH to disclose their status to their social network in some circumstances as consequences of HIV-related stigma could include financial insecurity and violence [62–64]. Therefore, safe and selective disclosure of HIV status is crucial and mediation concealment may be a protective response to a hostile environment, and HIV providers should consider this in their care plans. Providers should work with their patients to ensure that medication is administered in a way that maintains privacy for patient safety and wellbeing, and ensure patients have a form of social support, especially if they do not have support from their social network. Long-acting injectables, which do not require PWH to keep medications at their residence, could be a promising option for many PWH to protect against inadvertent disclosure of their HIV status [65–67]. However, this might not be a feasible option for all PWH as it requires regular visits to their HIV care provider. Additionally, increased trips to a medical care facility can increase the risk for inadvertent disclosure and stigma [68,69].
A minority of participants in our study reported traveling at least 30 miles to obtain ART medication, which was highlighted as a pill-hiding mechanism. A few studies have revealed that participants are usually opposed to receiving care close to their homes due to increased perceived risk of HIV status disclosure [70]. Moreover, individuals that have experienced enacted stigma have been associated with long-distance travel to seek HIV care [71]. Thus, individuals avoiding stigma have developed solutions that result in an increase in the distance of travel for health care delivery despite efforts in the HIV healthcare sphere aimed at improving accessibility. This exemplifies how stigma continues to be a barrier to HIV care-seeking behaviors in a manner that can burden and negatively impact the quality of life and health outcomes of PWH [22].
Our study also revealed that those with suboptimal adherence were more likely to report at least one ART concealment behavior overall or removing labels from ART bottles compared to those with optimal adherence, but these associations were no longer significant in adjusted analyses. This finding indicates that factors associated with medication concealment behaviors, rather than the behaviors themselves, might be the most strongly associated with suboptimal ART adherence. Hiding ART while having guests was significantly associated with suboptimal adherence in both unadjusted and adjusted analyses, reflecting how stigma may prevent patients from disclosing their status to family, friends, and others who might visit their home. In totality, our results support findings in the literature that factors such as depression, substance use, disclosure, and stigma [17,18,23,38,53] are closely associated with ART adherence, and contribute to the literature by linking them to ART concealment behaviors as well. This highlights the need to improve ART adherence through stigma reduction efforts implemented through multilevel psychosocial interventions involving community members, social networks, family members, and healthcare workers [18,72].
Finally, it is possible that the lack of a significant relationship between those with medication hiding behaviors and adherence in adjusted analysis could be because, in some cases, medication hiding might be beneficial to adherence for patients at risk of domestic violence. There is evidence that women living with HIV who are at risk for experiencing intimate partner violence at home hide their ART to prevent their partners from finding out their status while attempting to adhere to their regimen [73]. While it is unclear whether medication hiding improves adherence in these situations, providers should again consider the needs of individual PWH and not consider PWH as a monolith when prescribing and administering care to their patients. Future research should consider domestic and other types of violence PWH who engage in medication hiding behaviors might be dealing with and examine not only the association with adherence but the balance of risks between adherence and individual safety.
Limitations
Data from the Florida Cohort are ideal for understanding the barriers and facilitators to ART adherence among a sample of PWH living in an area that experiences disproportionately negative HIV outcomes compared with the rest of the US. However, the population is largely recruited from clinics and most participants are engaged in care, so these results may not be generalizable to out-of-care PWH. In-care PWH tend to have better HIV-related outcomes (e.g., viral suppression among those retained in care was 89.5% in Florida in 2021 compared to an overall viral suppression rate of 69.3%), which may result from differing health behaviors. We also relied on self-reported ART adherence, which may overestimate adherence [74]. The potential misclassification of participants as being optimally adherent decreases the sample of suboptimally adherent participants and decrease our ability to detect differences. Additionally, our analysis does not account for certain variables that have demonstrated significant associations with adherence in the literature, most notably social support [60,75]. This was because these questions were not asked of participants in the study. We also used cross-sectional data as variables of interest were not available at follow-up visits. Future longitudinal studies could investigate how instances of these behaviors impact subsequent ART adherence. Further, our questions describing ART concealment are not exhaustive; they do not include all the ways in which people can conceal their medications. This question was written in consultation with HIV healthcare providers and community members with awareness of how people commonly hide their ART from others. However, future studies can expand upon this question. Qualitative interviews may be particularly valuable for capturing the diversity of methods employed by PWH to hide their ART and understand their reasons for and attitudes towards ART concealment.
Conclusion
Medication concealment behaviors were commonly endorsed among this sample of PWH and were associated with depression, at-risk drinking, incomplete disclosure to social network, and not having a social network. Medication concealment behaviors were associated with reduced likelihood of optimal ART adherence. However, only hiding medications while having guests was associated with adherence in adjusted multivariable analyses, while other behaviors were no longer associated. These findings suggest that PWH may want to receive ART medications in ways that ensure privacy. Further research is warranted to circumnavigate the challenges presented by ART concealment behaviors or ascertain how alternate forms of ART, such as long-acting injectables, can improve adherence. Future studies could also investigate the impacts of medication concealment on adherence to HIV preexposure prophylaxis.
Supplementary Material
Acknowledgements:
The authors would like to thank Dr. Zhigang Li and Seungjun Ahn for their advice on the statistical analyses. We would also like to thank the Florida Cohort coordination and recruitment team, especially Edwige Nicholas, and the study participants.
Funding:
This work was supported by the National Institute on Alcohol Abuse and Alcoholism (grants T32AA025877, F31AA030518, U24AA022002)
Footnotes
Financial and Non-Financial Interests: The authors have no relevant financial or non-financial interests to disclose.
Ethics Approval: The Florida Cohort Study was reviewed by the Institutional Review Board at the University of Florida (IRB#201801680). This study adheres to the tenets of the Declaration of Helsinki.
Informed Consent: All participants provided written informed consent prior to participation.
Contributor Information
Rebecca J Fisk-Hoffman, Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, Florida, USA.
Christina E Parisi, Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, Florida, USA.
Nanyangwe Siuluta, Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, Florida, USA.
Delaney D Ding, Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, Florida, USA.
Maya Widmeyer, Unconditional Love Incorporated, Melbourne, Florida, USA.
Charurut Somboonwit, Department of Internal Medicine, College of Medicine, University of South Florida, Tampa, Florida, USA.
Robert L Cook, Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, Florida, USA.
Data and Code Availability:
The data used in this study can be requested from the Southern HIV and Alcohol Research Consortium (https://sharc-research.org/research/data/sharc-concepts-system/) and the code can be provided by the corresponding author upon request.
References
- 1.Fauci AS, Redfield RR, Sigounas G, Weahkee MD, Giroir BP. Ending the HIV Epidemic: A Plan for the United States. JAMA. 2019;321:844–5. [DOI] [PubMed] [Google Scholar]
- 2.CDC. HIV in the United States by Region: HIV Diagnoses [Internet]. Cent. Dis. Control Prev. 2022. [cited 2022 Dec 11]. Available from: https://www.cdc.gov/hiv/statistics/overview/diagnoses.html
- 3.Mannheimer SB, Matts J, Telzak E, Chesney M, Child C, Wu AW, et al. Quality of life in HIV-infected individuals receiving antiretroviral therapy is related to adherence. AIDS Care. 2005;17:10–22. [DOI] [PubMed] [Google Scholar]
- 4.Gordon LL, Gharibian D, Chong K, Chun H. Comparison of HIV Virologic Failure Rates Between Patients with Variable Adherence to Three Antiretroviral Regimen Types. AIDS Patient Care STDs. 2015;29:384–8. [DOI] [PubMed] [Google Scholar]
- 5.Bezabhe WM, Chalmers L, Bereznicki LR, Peterson GM. Adherence to Antiretroviral Therapy and Virologic Failure: A Meta-Analysis. Medicine (Baltimore). 2016;95:e3361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Byrd KK, Hou JG, Hazen R, Kirkham H, Suzuki S, Clay PG, et al. Antiretroviral Adherence Level Necessary for HIV Viral Suppression Using Real-World Data. J Acquir Immune Defic Syndr 1999. 2019;82:245–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Centers for Disease Control and Prevention. HIV Transmission [Internet]. HIV Basics. 2020. [cited 2022 Dec 14]. Available from: https://www.cdc.gov/hiv/basics/transmission.html
- 8.Eisinger RW, Dieffenbach CW, Fauci AS. HIV Viral Load and Transmissibility of HIV Infection: Undetectable Equals Untransmittable. JAMA. 2019;321:451–2. [DOI] [PubMed] [Google Scholar]
- 9.Harrigan PR, Hogg RS, Dong WWY, Yip B, Wynhoven B, Woodward J, et al. Predictors of HIV drug-resistance mutations in a large antiretroviral-naive cohort initiating triple antiretroviral therapy. J Infect Dis. 2005;191:339–47. [DOI] [PubMed] [Google Scholar]
- 10.Prosperi M, Veras N, Azarian T, Rathore M, Nolan D, Rand K, et al. Molecular Epidemiology of Community-Associated Methicillin-resistant Staphylococcus aureus in the genomic era: a Cross-Sectional Study. Sci Rep [Internet]. 2013. [cited 2020 Nov 14];3. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3664956/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Benson C, Wang X, Dunn KJ, Li N, Mesana L, Lai J, et al. Antiretroviral Adherence, Drug Resistance, and the Impact of Social Determinants of Health in HIV-1 Patients in the US. AIDS Behav. 2020;24:3562–73. [DOI] [PubMed] [Google Scholar]
- 12.Blackard JT, Mayer KH. HIV superinfection in the era of increased sexual risk-taking. Sex Transm Dis. 2004;31:201–4. [DOI] [PubMed] [Google Scholar]
- 13.Rich SN, Poschman K, Hu H, Mavian C, Cook RL, Salemi M, et al. Sociodemographic, Ecological, and Spatiotemporal Factors Associated with Human Immunodeficiency Virus Drug Resistance in Florida: A Retrospective Analysis. J Infect Dis [Internet]. 2020. [cited 2020 Nov 14]; Available from: https://academic.oup.com/jid/advance-article/doi/10.1093/infdis/jiaa413/5869388 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.McComsey GA, Lingohr-Smith M, Rogers R, Lin J, Donga P. Real-World Adherence to Antiretroviral Therapy Among HIV-1 Patients Across the United States. Adv Ther. 2021;38:4961–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Viral Suppression | HIV in the United States by Region | Statistics Overview | Statistics Center | HIV/AIDS | CDC [Internet]. [cited 2023 Mar 7]. Available from: https://www.cdc.gov/hiv/statistics/overview/viral-suppression.html [Google Scholar]
- 16.Centers for Disease Control and Prevention. HIV in the United States by Region: Viral Suppression [Internet]. Cent. Dis. Control Prev. 2022. [cited 2023 Jan 15]. Available from: https://www.cdc.gov/hiv/statistics/overview/viral-suppression.html
- 17.Langebeek N, Gisolf EH, Reiss P, Vervoort SC, Hafsteinsdóttir TB, Richter C, et al. Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Med. 2014;12:142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Friedman MR, Stall R, Silvestre AJ, Wei C, Shoptaw S, Herrick A, et al. Effects of syndemics on HIV viral load and medication adherence in the multicentre AIDS cohort study. AIDS. 2015;29:1087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Simoni JM, Huh D, Wilson IB, Shen J, Goggin K, Reynolds NR, et al. Racial/Ethnic Disparities in ART Adherence in the United States: Findings From the MACH14 Study. J Acquir Immune Defic Syndr 1999. 2012;60:466–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ghidei L, Simone M, Salow M, Zimmerman K, Paquin AM, Skarf LM, et al. Aging, Antiretrovirals, and Adherence: A Meta Analysis of Adherence among Older HIV-Infected Individuals. Drugs Aging. 2013;30: 10.1007/s40266-013-0107-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Puskas CM, Forrest JI, Parashar S, Salters KA, Cescon AM, Kaida A, et al. Women and vulnerability to HAART non-adherence: a literature review of treatment adherence by gender from 2000 to 2011. Curr HIV/AIDS Rep. 2011;8:277–87. [DOI] [PubMed] [Google Scholar]
- 22.Rueda S, Mitra S, Chen S, Gogolishvili D, Globerman J, Chambers L, et al. Examining the associations between HIV-related stigma and health outcomes in people living with HIV/AIDS: a series of meta-analyses. BMJ Open. 2016;6:e011453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.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;20:29–50. [DOI] [PubMed] [Google Scholar]
- 24.Stirratt MJ, Remien RH, Smith A, Copeland OQ, Dolezal C, Krieger D, et al. The Role of HIV Serostatus Disclosure in Antiretroviral Medication Adherence. AIDS Behav. 2006;10:483–93. [DOI] [PubMed] [Google Scholar]
- 25.Pichon LC, Rossi KR, Ogg SA, Krull LJ, Griffin DY. Social Support, Stigma and Disclosure: Examining the Relationship with HIV Medication Adherence among Ryan White Program Clients in the Mid-South USA. Int J Environ Res Public Health. 2015;12:7073–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Izudi J, Okoboi S, Lwevola P, Kadengye D, Bajunirwe F. Effect of disclosure of HIV status on patient representation and adherence to clinic visits in eastern Uganda: A propensity-score matched analysis. PLOS ONE. 2021;16:e0258745. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Dessie G, Wagnew F, Mulugeta H, Amare D, Jara D, Leshargie CT, et al. The effect of disclosure on adherence to antiretroviral therapy among adults living with HIV in Ethiopia: a systematic review and meta-analysis. BMC Infect Dis. 2019;19:528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Tegegne AS, Ndlovu P, Zewotir T. Factors affecting first month adherence due to antiretroviral therapy among HIV-positive adults at Felege Hiwot Teaching and Specialized Hospital, north-western Ethiopia; a prospective study. BMC Infect Dis. 2018;18:83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Reda AA, Biadgilign S, Deribe K, Deribew A. HIV-positive status disclosure among men and women receiving antiretroviral treatment in eastern Ethiopia. AIDS Care. 2013;25:956–60. [DOI] [PubMed] [Google Scholar]
- 30.Penot P, Héma A, Bado G, Sombié D, Kaboré FN, Poda A, et al. Secret intake of antiretroviral treatment and HIV-1 viremia in a public routine clinic in Burkina Faso: a surprising relationship. AIDS Care. 2018;30:1502–6. [DOI] [PubMed] [Google Scholar]
- 31.Rintamaki L, Kosenko K, Hogan T, Scott AM, Dobmeier C, Tingue E, et al. The Role of Stigma Management in HIV Treatment Adherence. Int J Environ Res Public Health. 2019;16:5003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Rao D, Kekwaletswe TC, Hosek S, Martinez J, Rodriguez F. Stigma and social barriers to medication adherence with urban youth living with HIV. AIDS Care. 2007;19:28–33. [DOI] [PubMed] [Google Scholar]
- 33.Singh G, Pauranik A, Menon B, Paul BS, Selai C, Chowdhury D, et al. The dilemma of arranged marriages in people with epilepsy. An expert group appraisal. Epilepsy Behav. 2016;61:242–7. [DOI] [PubMed] [Google Scholar]
- 34.Nishio I, Chujo M. Self-stigma of Patients with Type 1 Diabetes and Their Coping Strategies. Yonago Acta Med. 2017;60:167–73. [PMC free article] [PubMed] [Google Scholar]
- 35.Calabrese SK, Martin S, Wolters PL, Toledo-Tamula MA, Brennan TL, Wood LV. Diagnosis disclosure, medication hiding, and medical functioning among perinatally-infected, HIV-positive children and adolescents. AIDS Care. 2012;24:1092–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Tegegne AS, Ndlovu P, Zewotir T. Factors affecting first month adherence due to antiretroviral therapy among HIV-positive adults at Felege Hiwot Teaching and Specialized Hospital, north-western Ethiopia; a prospective study. BMC Infect Dis. 2018;18:83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Rotzinger A, Locatelli I, Reymermier M, Amico S, Bugnon O, Cavassini M, et al. Association of disclosure of HIV status with medication adherence. Patient Educ Couns. 2016;99:1413–20. [DOI] [PubMed] [Google Scholar]
- 38.Madiba S, Josiah U. Perceived Stigma and Fear of Unintended Disclosure are Barriers in Medication Adherence in Adolescents with Perinatal HIV in Botswana: A Qualitative Study. BioMed Res Int. 2019;2019:e9623159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Ibañez GE, Zhou Z, Cook CL, Slade TA, Somboonwit C, Morano J, et al. The Florida Cohort study: methodology, initial findings and lessons learned from a multisite cohort of people living with HIV in Florida. AIDS Care. 2021;33:516–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.USDA ERS - Rural-Urban Commuting Area Codes [Internet]. [cited 2023 Jan 31]. Available from: https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes/
- 41.Rural Urban Commuting Area Codes Data [Internet]. [cited 2023 Jan 31]. Available from: https://depts.washington.edu/uwruca/ruca-uses.php [Google Scholar]
- 42.O’Halloran Leach E, Lu H, Caballero J, Thomas JE, Spencer EC, Cook RL. Defining the optimal cut-point of self-reported ART adherence to achieve viral suppression in the era of contemporary HIV therapy: a cross-sectional study. AIDS Res Ther. 2021;18:36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. AUDIT: The alcohol use disorders identification test: Guidelines for use in primary health care [Internet]. 2nd ed. Geneva, Switzerland: World Health Organization; 2001. Available from: https://apps.who.int/iris/handle/10665/67205 [Google Scholar]
- 44.Saunders JB, Aasland OG, Babor TF, De La Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption-II. Addiction. 1993;88:791–804. [DOI] [PubMed] [Google Scholar]
- 45.Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA, for the Ambulatory Care Quality Improvement Project (ACQUIP). The AUDIT Alcohol Consumption Questions (AUDIT-C): An Effective Brief Screening Test for Problem Drinking. Arch Intern Med. 1998;158:1789–95. [DOI] [PubMed] [Google Scholar]
- 46.Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166:1092–7. [DOI] [PubMed] [Google Scholar]
- 47.Kroenke K, Strine TW, Spitzer RL, Williams JBW, Berry JT, Mokdad AH. The PHQ-8 as a measure of current depression in the general population. J Affect Disord. 2009;114:163–73. [DOI] [PubMed] [Google Scholar]
- 48.Mayer M missRanger: Fast Imputation of Missing Values [Internet]. 2021. [cited 2023 Jan 31]. Available from: https://CRAN.R-project.org/package=missRanger [Google Scholar]
- 49.Stekhoven DJ, Bühlmann P. MissForest—non-parametric missing value imputation for mixed-type data. Bioinformatics. 2012;28:112–8. [DOI] [PubMed] [Google Scholar]
- 50.Shubber Z, Mills EJ, Nachega JB, Vreeman R, Freitas M, Bock P, et al. Patient-Reported Barriers to Adherence to Antiretroviral Therapy: A Systematic Review and Meta-Analysis. PLoS Med. 2016;13:e1002183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Sheinfil AZ, Foley JD, Moskal D, Dalton MR, Firkey M, Ramos J, et al. Daily Associations Between Alcohol Consumption and Antiretroviral Therapy (ART) Adherence Among HIV-Positive Men Who Have Sex With Men. AIDS Behav. 2022;26:3153–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Langebeek N, Gisolf EH, Reiss P, Vervoort SC, Hafsteinsdóttir TB, Richter C, et al. Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Med. 2014;12:142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Braithwaite RS, Bryant KJ. Influence of Alcohol Consumption on Adherence to and Toxicity of Antiretroviral Therapy and Survival. Alcohol Res Health. 2010;33:280–7. [PMC free article] [PubMed] [Google Scholar]
- 54.Heinze G, Schemper M. A solution to the problem of separation in logistic regression. Stat Med. 2002;21:2409–19. [DOI] [PubMed] [Google Scholar]
- 55.Heinze G, Ploner M, Dunkler D, Southworth H, Jiricka L. logistf: Firth’s Bias-Reduced Logistic Regression [Internet]. 2022. [cited 2023 Mar 7]. Available from: https://CRAN.R-project.org/package=logistf [Google Scholar]
- 56.Imai K, Keele L, Yamamoto T. Identification, Inference and Sensitivity Analysis for Causal Mediation Effects. Stat Sci. 2010;25:51–71. [Google Scholar]
- 57.Tingley D, Yamamoto T, Hirose K, Keele L, Imai K, Trinh M, et al. mediation: Causal Mediation Analysis [Internet]. 2019. [cited 2023 Aug 7]. Available from: https://cran.r-project.org/web/packages/mediation/index.html [Google Scholar]
- 58.Ramadhani HO, Muiruri C, Maro VP, Nyombi B, Omondi M, Mushi JB, et al. Patient-Initiated Repackaging of Antiretroviral Therapy, Viral Suppression and Drug Resistance. AIDS Behav. 2018;22:1671–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Battles HB, Wiener LS. From adolescence through young adulthood: Psychosocial adjustment associated with long-term survival of HIV. J Adolesc Health. 2002;30:161–8. [DOI] [PubMed] [Google Scholar]
- 60.Damulira C, Mukasa MN, Byansi W, Nabunya P, Kivumbi A, Namatovu P, et al. Examining the relationship of social support and family cohesion on ART adherence among HIV-positive adolescents in southern Uganda: baseline findings. Vulnerable Child Youth Stud. 2019;14:181–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Bilardi JE, Hulme-Chambers A, Chen MY, Fairley CK, Huffam SE, Tomnay JE. The role of stigma in the acceptance and disclosure of HIV among recently diagnosed men who have sex with men in Australia: A qualitative study. PLOS ONE. 2019;14:e0224616. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Mahajan AP, Sayles JN, Patel VA, Remien RH, Ortiz D, Szekeres G, et al. Stigma in the HIV/AIDS epidemic: A review of the literature and recommendations for the way forward. AIDS Lond Engl. 2008;22:S67–79. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Logie CH, Sokolovic N, Kazemi M, Islam S, Frank P, Gormley R, et al. Does resource insecurity drive HIV-related stigma? Associations between food and housing insecurity with HIV-related stigma in cohort of women living with HIV in Canada. J Int AIDS Soc. 2022;25:e25913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Gielen AC, Ghandour RM, Burke JG, Mahoney P, McDonnell KA, O’Campo P. HIV/AIDS and Intimate Partner Violence: Intersecting Women’s Health Issues in the United States. Trauma Violence Abuse. 2007;8:178–98. [DOI] [PubMed] [Google Scholar]
- 65.Koren DE, Fedkiv V, Zhao H, Kludjian G, Bettiker RL, Tedaldi E, et al. Perceptions of Long-Acting Injectable Antiretroviral Treatment Regimens in a United States Urban Academic Medical Center. J Int Assoc Provid AIDS Care. 2020;19:2325958220981265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.M S, Beima-SofieKristin HM, ChristodoulouJoan, TapiaKenneth MG, et al. Long-Acting Injectable Antiretroviral Treatment Acceptability and Preferences: A Qualitative Study Among US Providers, Adults Living with HIV, and Parents of Youth Living with HIV. AIDS Patient Care STDs [Internet]. 2019. [cited 2023 Jan 15]; Available from: https://www.liebertpub.com/doi/10.1089/apc.2018.0198 [DOI] [PMC free article] [PubMed]
- 67.Simoni JM, Beima-Sofie K, Wanje G, Mohamed ZH, Tapia K, McClelland RS, et al. “Lighten This Burden of Ours”: Acceptability and Preferences Regarding Injectable Antiretroviral Treatment Among Adults and Youth Living With HIV in Coastal Kenya. J Int Assoc Provid AIDS Care. 2021;20:23259582211000516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Rice WS, Turan B, Fletcher FE, Nápoles TM, Walcott M, Batchelder A, et al. A Mixed Methods Study of Anticipated and Experienced Stigma in Health Care Settings Among Women Living with HIV in the United States. AIDS Patient Care STDs. 2019;33:184–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Dapaah JM, Senah KA. HIV/AIDS clients, privacy and confidentiality; the case of two health centres in the Ashanti Region of Ghana. BMC Med Ethics. 2016;17:41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Kane JC, Elafros MA, Murray SM, Mitchell EMH, Augustinavicius JL, Causevic S, et al. A scoping review of health-related stigma outcomes for high-burden diseases in low- and middle-income countries. BMC Med. 2019;17:17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Fonner VA, Geurkink D, Chiwanga F, Amiri I, Likindikoki S. Long-Distance Travel for HIV-Related Care—Burden or Choice?: A Mixed Methods Study in Tanzania. AIDS Behav. 2021;25:2071–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Andersson GZ, Reinius M, Eriksson LE, Svedhem V, Esfahani FM, Deuba K, et al. Stigma reduction interventions in people living with HIV to improve health-related quality of life. Lancet HIV. 2020;7:e129–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Leddy AM, Weiss E, Yam E, Pulerwitz J. Gender-based violence and engagement in biomedical HIV prevention, care and treatment: a scoping review. BMC Public Health. 2019;19:897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Smith R, Villanueva G, Probyn K, Sguassero Y, Ford N, Orrell C, et al. Accuracy of measures for antiretroviral adherence in people living with HIV. Cochrane Database Syst Rev. 2022;7:CD013080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Woodward EN, Pantalone DW. The Role of Social Support and Negative Affect in Medication Adherence for HIV-infected Men who Have Sex With Men. J Assoc Nurses AIDS Care JANAC. 2012;23:388–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data used in this study can be requested from the Southern HIV and Alcohol Research Consortium (https://sharc-research.org/research/data/sharc-concepts-system/) and the code can be provided by the corresponding author upon request.