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Virological non-suppression among adult males attending HIV care services in the fishing communities in Bulisa district, Uganda

  • Ignatius Senteza ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing

    senteza28@gmail.com

    Affiliation Department of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda

  • Barbara Castelnuovo ,

    Contributed equally to this work with: Barbara Castelnuovo, David Mukunya, Fredrick Makumbi

    Roles Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing – review & editing

    Affiliation Research Department, Infectious Diseases Institute, Makerere University, Kampala, Uganda

  • David Mukunya ,

    Contributed equally to this work with: Barbara Castelnuovo, David Mukunya, Fredrick Makumbi

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Supervision, Validation, Visualization, Writing – review & editing

    Affiliation Department of Community and Public Health, Faculty of Health Sciences, Busitema University, Busitema, Uganda

  • Fredrick Makumbi

    Contributed equally to this work with: Barbara Castelnuovo, David Mukunya, Fredrick Makumbi

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Supervision, Validation, Visualization, Writing – review & editing

    Affiliation Department of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda

Abstract

Background

Virological non-suppression is a critical factor in driving HIV transmission rates, yet there is limited data available on the determinants of this phenomenon, particularly in fishing communities where the incidence of HIV is disproportionately high. We aimed to determine the prevalence and determinants of virological non-suppression among adult males (≥15 years) attending HIV care services in the fishing communities of Bulisa district.

Methods

We conducted a cross-sectional study among all adult males (≥15 years) living with HIV who were resident within the fishing communities, and in care for atleast 6 months at the six health facilities offering HIV services in the fishing communities in Bulisa district. To obtain data on patient and health facility characteristics, we reviewed patients’ records and conducted face-to-face interviews with the participants. We conducted descriptive and regression analyses using modified Poisson regression, accounting for data correlation of observation at the facility level to obtain prevalence ratios (PR) with 95% confidence intervals in Stata version 14.0.

Results

413 participants were studied and 379 (91.8%) were interviewed. The participant’s average age (SD) was 40 (10.7) years and 70.5% (267/379) were engaged in the fishing business. The prevalence of virological non-suppression was 88/413–21.3% (95% CI: 18%-26%). Factors associated with higher odds of virological non-suppression included: Age 26–50 years (adj.PR = 1.53, 95%CI: 1.11–2.08) and 15–25 years (adj.PR = 2.99, 95%CI: 1.27–7.05) compared to age above 50 years; unemployment (adj.PR = 1.28, 95%CI: 1.10–1.49); hazardous use of alcohol (adj.PR = 1.34, 95%CI: 1.10–1.62); non-mobility between fish landing sites (adj.PR = 1.37, 95%CI: 1.003–1.87); distant HIV treatment services (adj.PR = 1.37, 95%CI: 1.11–1.69) and TB diagnosis (adj.PR = 1.87, 95%CI: 1.33–2.64).

Conclusion

Virological non-suppression among people living with HIV in fishing communities along the shores of Lake Albert is alarmingly high, exceeding the UNAIDS threshold of 10% by two-fold. Several key determinants were identified, including hazardous alcohol use, unemployment, and access barriers to HIV treatment services.

Introduction

The World Health Organization (WHO) identifies key populations as groups that are particularly vulnerable to contracting Human Immunodeficiency Virus (HIV) [1]. In Africa, fishing communities represent a significant proportion of these at-risk populations [2, 3] due to the high prevalence of HIV within these communities [4]. Specifically, along the shores of Lake Victoria (the biggest lake in Uganda), the prevalence of HIV is as high as 19.7% [5] which is three times higher than the general population’s prevalence of (6.2%) [6].

The fishing business is often characterized by male dominance, high-risk sexual behaviours [6], frequent alcohol consumption [7] and mobility between different fishing sites [8]. These factors contribute to the potential transmission of HIV, highlighting the need for more effective methods of prevention. One such approach is recognizing the importance of undetectable viral loads in achieving untransmittable HIV status [912]. To better understand the factors that contribute to virological suppression among individuals with HIV, it is important to contextualize these determinants. By gaining a better understanding of the factors that contribute to virological suppression among individuals with HIV, we may be able to reduce the incidence of HIV in fishing communities [13, 14].

Bulisa district, located along the shores of Lake Albert, has a significant portion of its population (14.2%) engaged in the fishing business [15]. While the prevalence of HIV among these fishing communities is not known, it is likely to be higher than that of the general population due to the high rates of HIV observed in fishing communities [5]. However, the overall prevalence of HIV in Bulisa district, based on 2020 program data in DHIS-2, was lower at 5.1% [16] as compared to the national prevalence of 6.2% reported in the UPHIA report of 2017 [6].

A study carried out in Uganda using national programme data in 2017 found that the prevalence of virological non-suppression among males with HIV was 13%. However, in Bulisa district during the same time, the prevalence of virological non-suppression amongst all adult males for the same period was much higher, at 20% [17]. This is particularly concerning, as it exceeds the UNAIDS virological non-suppression threshold of 5% by 2030 [18] and twice as high as the UNAIDS threshold of 10% that was supposed to be achieved by 2020 [19].

While there are program data available on virological non-suppression amongst PLHIV at district level in Uganda, little is known about the burden of virological non-suppression specifically among the male-dominated fishing communities. Furthermore, the association of virological non-suppression and key characteristics prevalent in fishing communities such as risky sexual behaviours [20], hazardous alcohol consumption [21] and high mobility [8] is not well understood. Although certain factors have been linked to virological non-suppression in various population groups, these may not apply to fishing communities.

This study aimed to determine the prevalence of virological non-suppression and the associated factors among adult males (15+) living with HIV in the fishing communities of Bulisa district.

Methodology

Study setting

The study was conducted in the fishing communities situated along the shores of Lake Albert in Bulisa district, which is approximately 288.5km west of Kampala, the capital city of Uganda [15]. The estimated population according to the National Population and Housing Census 2014 is 113,161 [22]. According to district reports, around 2000 (1.76%) individuals are living with HIV in these communities, with males constituting 45% of the population [16]. Notably, a majority of those with HIV (approximately two-thirds) reside in fishing communities [16]. Fishing activities typically occur at fish landing sites where boats dock, and the trading of fish takes place.

Fishermen often move between fish landing sites, depending on seasonal changes, to increase their chances of catching fish. There are seven public health facilities in the district, but only six are easily accessible to ten or more fishing communities. These facilities routinely assess the virological status of adult patients under HIV care six months after initiating ART treatment and every 12 months thereafter [23].

Patients who have virological non-suppression are typically provided with three intensive adherence counselling sessions before undergoing a repeat viral load test. The management of patients living with HIV is based on several differentiated service delivery models which depend on their degree of stability. For instance, patients who are virologically suppressed, are in WHO clinical stage I or II, have no active TB disease or have completed the intensive phase of TB treatment are considered stable [23]. Stable patients have access to different treatment modalities, including the fast-track drug refill model where patients who do not have any complaints can receive drugs without seeing a clinician. Additionally, there’s the community drug refill model where a patient can obtain their medication from the community. Lastly, the client-led ART delivery model is available, whereby patients form small groups and take turns to collect and deliver their drugs. Patients who are deemed unstable are typically enrolled on the facility-based improvement modality which involves closer monitoring and management of individuals with serious illnesses and advanced HIV disease is considered [23]. In Bulisa district, approximately 47% of adult males living with HIV are enrolled on to the fast-track refill model while 41% are on the facility-based management model. A smaller number of patents, approximately 6%, are enrolled on the client-led ART delivery model, and 6% are equally distributed between facility-based groups and community drug distribution models [16].

Study design

To determine the prevalence of virological non-suppression and factors associated with it among adult males (aged 15 years and above) living with HIV in the fishing communities of Bulisa district, we conducted a cross-sectional study involving patient records and interviews.

Participants selection

Our study involved all adult males (aged 15 years and above) living with HIV and residents of the fishing communities in Bulisa district. The participants were required to have received ART treatment for at least 6 months between January 2019 and January 2020. We screened patient records from the ART registers and/ or the electronic medical records system to obtain participants’ demographics, duration on ART and place of residence. Those who met the inclusion criteria were documented on a master list using their treatment numbers and facility code.

To assess the contribution of the health facility to virological non-suppression, we conducted face-to-face interviews with the HIV clinic nurse/ clinical officer in charge at each of the six health facilities serving patients living with HIV in the fishing communities. The selection was done purposively.

Data collection and management

To obtain data for our study, we used a combination of patients’ files and primary data collection through face-to-face interviews of patients and HIV clinic charges using questionnaires and data abstraction tools. The patients’ questionnaire was structured and designed based on characteristics common among residents of fishing communities and factors previously associated with virological non-suppression from other population segments [17, 21, 2433].

The Health worker’s questionnaire was structured and designed based on factors identified in previous qualitative and quantitative studies that focused on the quality of health care [3441]. Data collection was carried out by trained research assistants and questionnaires were translated into Lugungu (the native language).

To minimize non-responsiveness, we ensured the completeness of the data collection tools and followed up on missed opportunities using phone calls and physical follow-ups.

Our outcome of interest was virological non-suppression, which we defined as a viral load of less than 1000 copies/ml. Only up-to-date viral load results were considered and we defined an up-to-date viral load result as a result obtained within 12 months from the time of taking off the blood sample at the time of data collection. The independent variables included characteristics salient among residents of fishing communities and those previously associated with virological non-suppression from other studies. These included: hazardous use of alcohol which was assessed using the 12 points AUDIT C tool where a score ≥4 indicated hazardous use of alcohol [42], mobility based on the frequency of movement between fishing landing sites, sexual behaviour assessed based on the number of sexual partners and condom use within 12 months. Occupation was categorised as unemployed, involved in the fishing business or other jobs [8, 20, 21, 43]. Other jobs included farming, transport and general trade, while the fishing business included active fishing and trading in fish.

Patient-related characteristics previously associated with virological non-suppression included age measured in complete years (15–25, 26–50, >50 years); marital status (single, divorced, married, cohabiting and widowed); ART regimen; line of treatment (first, second, third line); ART side effects and how they disrupted work, frequency of ART regimen (once and twice daily); adherence based on pill count by the attending clinician categorized as good (>95%), fair (80–95%), poor (<80%); fulfilment of clinical appointments; disclosure of HIV status (one option from a list of provided options); belongingness to a treatment support group; duration on ART measured in months; daily average income measured in Ugandan shillings (I USD = UGX 3500) categorised according to income level and TB diagnosis with 12 months [17, 21, 2433]. Health facility characteristics included: the level of the health facility (HC II, HC III, HC IV and hospital levels with the HCII level being the lowest point of care and the hospital being the highest point of care within the district; perceived length of appointment intervals (long, short, neither long or short) and the perception whether HIV services were extended closer to the workplace/home; perceived quality of health education and the quality counselling. These characteristics were selected based on previous studies [3441]. All data were captured using entry screens designed with EPInfo software and then exported into Microsoft Excel.

Data analysis

Data were analysed using Stata version 14.0 and summarized using frequencies and proportions. At the exploratory stage, we realised that 34 (<10%) participants with the outcome of interest were missing data from face-to-face interviews. These included those who had transferred out, died, were lost to follow up or were displaced due to floods along Lake Albert. Descriptive analyses were performed and results were reported using frequencies and proportions.

Age (years) was normally distributed, and therefore, mean (SD) was used as a measure of central tendency. However, the duration on ART (months) was skewed, and thus, median (IQR) was used as the measure of central tendency. The prevalence of virological non-suppression was the proportion of participants with an up-to-date viral load who had virological non-suppression.

During regression analysis, participants with missing data were excluded and a complete case analysis was considered. We used bivariable analysis to obtain the strength of association between each independent variable with virological non-suppression. Poisson regression was used to generate crude prevalence ratios (CPR) with 95% confidence intervals and p-values. Multicollinearity was assessed using variance inflation factor (VIF = 1/ (1-R2)) where R is the correlation coefficient. A VIF greater than or equal to 10 indicated serious multicollinearity [4446]. Preference of factors used at the multivariable analysis level was based on: biological plausibility; p-value less than 0.25 at bivariable analysis [47] and uniqueness of the factor (s) to the fishing community. These criteria were used to ensure that the most relevant and significant factors were included in the analysis.

At the multivariable analysis level, backward elimination modelling was conducted using modified Poisson regression accounting for data correlation of observation at facility level to obtain adjusted prevalence ratio (adj.PR) as measures of association, with corresponding 95% confidence intervals and p values. Health workers’ responses from face-to-face interviews were analysed using frequencies, and results were summarized using tables.

Ethical consideration

We sought approval from the Research and Ethics Committee of Makerere University—School of Public Health to carry out the research. Written informed consent was obtained from all study participants, and assent was obtained from guardians of participants aged 15 to 18 years.

Results

Fig 1 shows the description of the data that were used in the study.

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Fig 1. A consort flow diagram showing data that were used.

https://doi.org/10.1371/journal.pone.0293057.g001

Out of the 829 adult males receiving HIV care in Bulisa district between January 2019 and January 2020, 462 (55.7%) fulfilled the eligibility criteria, and 413 (89.4%) of eligible participants had an up-to-date viral load.

Out of 829 participants line listed, 462 fulfilled the inclusion criteria of whom 413 had an up-to-date viral load test result. 367 were excluded because they were non-residents in the fishing communities or had been enrolled on ART for less than 6 months and were not due for viral load monitoring according to the guidelines for viral load monitoring in Uganda. The response rate for the face-to-face interviews was 379/413 (91.8%). The 34 (8.2%) participants who were not interviewed had either died, were lost from care, transferred out or displaced due to floods.

The average (SD) duration on ART (months) was comparable between participants who were interviewed [41.7 (29.9)] and those who were not interviewed [40.3(30.4)], p-value = 0.794. However, those interviewed and not interviewed differed in their mean (SD) age (years), 40 (10.7) versus 35.9 (9.3), p = 0.011.

Demographic, individual and health facility-related characteristics of the participants

Table 1 shows the demographic, individual and health facility-related characteristics of the participants.

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Table 1. Demographic, individual and health facility-related characteristics of participants n = 413.

https://doi.org/10.1371/journal.pone.0293057.t001

The mean (SD) age was 40 (10.7) years and the median (IQR) duration on ART was 37 (17–57) months. The proportion of participants with virological non-suppression was 21.3%. Three-quarters of the participants were taking TDF/3TC/DTG as their current ART regimen and more than two-thirds were engaged in the fishing business. Only 5%of participants reported earning more than UGX 20,000 (about 6 US dollars) per day on average.

About one-third of the participants reported having had 2 to 3 sexual partners in the previous 12 months. One-third reported never knowing their partner’s HIV status. Half of the participants had partners who were living with HIV. About one-third were engaged in hazardous alcohol use and one-half of them moved between fish landing sites at least once in the past 12 months. More than three-quarters of the participants were permanent residents of Bulisa district and about two-thirds sought their treatment from mid-level health facilities (either HC III or HC IV).

The prevalence of virological non-suppression amongst adult males (≥15 years) living with HIV in the fishing communities of Bulisa was 22.2% (95% CI: 18% -26%).

Factors associated with virological non-suppression.

Table 2 summarises the results from the bivariable and multivariable analyses.

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Table 2. Bivariable and multivariable analysis for determining the factors associated with virological non-suppression amongst adult males living with HIV in the fishing communities of Bulisa district.

https://doi.org/10.1371/journal.pone.0293057.t002

At bivariable analysis. Age between 15 to 25 years was associated with a higher prevalence of virological non-suppression (CPR = 2.82, 95% CI = 1.05–7.58) compared to participants greater than 50 years. The prevalence of virological non-suppression amongst participants who disclosed their HIV status to either workmate, friend, or neighbour was 0.21 times (CPR = 0.21, 95% CI = 0.04–0.99) compared to the prevalence of virological non-suppression amongst participants who never disclosed their HIV status. The prevalence of virological non-suppression amongst participants diagnosed with TB within 12 months before the study was 1.86 times (CPR = 1.85, 95% CI = 1.13–2.63) compared to the prevalence of virological non-suppression among participants who were never diagnosed with TB. Other results are summarised in Table 2.

At multivariable analysis. Results for factors salient among patients living with HIV in the fishing communities are described below. Other results are summarised in Table 2.

The prevalence of virological non-suppression among unemployed participants was 1.31 times (adj.PR = 1.31, 95%CI: 1.15–1.50) the prevalence of virological non-suppression amongst participants that were engaged in other jobs other than fishing. The prevalence of virological non-suppression amongst adult males who engaged in hazardous use of alcohol was 1.32 times (adj.PR = 1.32, 95%CI: 1.13–1.54) the prevalence of virological non-suppression amongst participants who never engaged in hazardous use of alcohol. The prevalence of virological non-suppression amongst participants who solely operated at one fishing landing site was 1.27 times (adj.PR = 1.27, 95%CI: 1.03–1.56) compared to the prevalence of virological non-suppression amongst participants who moved more than twice annually between fishing landing sites. The prevalence of virological non-suppression amongst participants who reported that HIV treatment services were not close to their workplaces was 1.38 times (adj.PR = 1.38, 95%CI: 1.07–1.77) the prevalence of virological non-suppression amongst participants that reported that HIV treatment services were extended closer to their workplaces. The prevalence of virological non-suppression amongst participants diagnosed with TB within 12 months before the study was 1.98 times (adj.PR = 1.98, 95%CI: 1.39–2.82) compared to the prevalence of virological non-suppression amongst participants that were not diagnosed with TB within the same period.

The role of health facilities towards virological non-suppression amongst adult males living with HIV in the fishing communities of Bulisa district.

Table 3 shows the results from face-to-face interviews among health workers that focused on the preparedness of the health facilities to serve people living with HIV and the quality of care offered to them.

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Table 3. Preparedness of health workers to serve people living with HIV and quality of services offered to people living with HIV.

https://doi.org/10.1371/journal.pone.0293057.t003

At five out of six health facilities, patients were routinely attended to by a clinician except for Bugoigo HC III where an experienced HIV peer leader occasionally attended to patients. Four out of six facilities offered scheduled health education talks for patients and had peers resident within the fishing communities trained to support fellow patients. Five of the six facilities had staff designated to provide adherence counselling however only three had received training in counselling skills. The main method for assessing adherence at all facilities was daily physical counting of pill balances. All facilities received training in the national HIV treatment and prevention guidelines. Patients at five out of six facilities were served through community drug distribution points (CDDPs) and home refills, whereas three facilities also used CCLADs (community client-led ART delivery). Only one facility had a waiting time of no more than 30 minutes. Five of the six health facilities assessed feedback from patients quarterly. All facilities had quality improvement committees aimed at improving the quality of care among patients.

Discussion and conclusion

Our study aimed to evaluate the prevalence of virological non-suppression and the associated factors among adult males living with HIV in the fishing communities of Bulisa district. Our findings revealed that the prevalence of virological non-suppression was remarkably high (21.3%), which was twice the UNAIDS threshold of 10%. Furthermore, we noted that this figure was considerably higher than the prevalence of non-suppression observed in other fisherfolk settings (9%) [48] as well as among the general male population living with HIV in Uganda (13%) [17]. These results suggest that adult males living with HIV in fishing communities could be contributing significantly to the burden of virological non-suppression. This finding may have significant implications for HIV control and prevention programs in these communities, as targeted strategies could be developed to address the identified risk factors and improve virological suppression rates among HIV-positive individuals living in fishing communities.

According to the study’s findings, there is a higher likelihood of virological non-suppression among individuals with hazardous alcohol use. Alcohol dependence has been previously associated with poor adherence to ART [21] which in turn leads to an increased risk for virological non-suppression [17]. Therefore, addressing the challenge of hazardous alcohol use could be an effective strategy to improve virological outcomes among people living with HIV.

Results from this study further revealed that individuals under the age of 50 had a higher likelihood of experiencing virological non-suppression. There was also a correlation demonstrated in the study, indicating that the odds of non-suppression increased with decreasing age. Previous studies that focused on the relationship between age and adherence, a major predictor of virological non-suppression, suggested that older individuals may exhibit better adherence to antiretroviral medication [49, 50]. Better adherence with increasing age could potentially explain the lower likelihood of virological non-suppression. Therefore, interventions to improve medication adherence among younger individuals may be necessary to enhance their virological outcomes and achieve better overall health.

This study found that being unemployed was associated with higher odds of experiencing virological non-suppression. These findings are consistent with previous studies that have also identified a link between unemployment and poorer health outcomes like non-adherence to ART and virological non-suppression [51, 52]. Therefore, interventions targeting employment and income generation may be necessary to improve access to health care and treatment adherence, hence the reduced risk of virological non-suppression.

According to this study, remaining stationed at a single fishing site for an entire year as compared to migrating between fishing landing sites in search of better yield from fishing was found to have a slight association with virological non-suppression. This finding contrasts with previous studies which linked extensive migration with virological non-suppression [53]. In fishing communities, people tend to move between fish landing sites based on fluctuations in fish quantities [8]. Individuals who did not change fishing landing sites may have been among the unemployed, who were found to have higher odds of virological non-suppression. Profiling of adult males at fish landing sites in line with their mobility patterns could help in redirecting efforts to address the challenge of virological non suppression.

This study found that a lack of nearby HIV treatment services was associated with higher odds of virological non-suppression. This finding highlights the importance of providing convenient access to treatment services among fishing communities where mobility between work sites certainly poses a challenge to treatment access. On the positive side, all six health facilities in the fishing communities had mechanisms in place to extend HIV treatment services closer to patients that included CDDPs, CCLADs and direct drug delivery [23]. In contrast, some studies conducted in non-fishing settings did not find any association between the geospatial patterns of treatment sites, differentiation of treatment, and virological non-suppression [54, 55]. Extending services closer to patients could help in reducing the long time spent at some facilities which manifested as a long waiting time of more than 30 minutes at some facilities. Such long waiting times are likely to discourage patients from seeking regular care from the facilities, resulting in poor adherence and poor treatment outcomes like virological non-suppression. Therefore, it’s important to consider the working culture of the patients when designing HIV treatment programs to optimise health outcomes.

This study revealed that having a history of TB disease within the past 12 months was associated with greater chances of virological non-suppression, consistent with an earlier nationwide study among PLHIV in Uganda [17]. This may be due to the immunosuppressive effects of TB on the body [56], which impedes individuals from achieving viral suppression. This finding highlights the importance of screening for TB and providing appropriate treatment to improve the overall health outcomes of people living with HIV.

This study also found that seeking HIV care at the hospital level was associated with greater odds of virological non-suppression. Conversely, receiving treatment from mid-level (HC III and IV) facilities was associated with lower odds of virological non-suppression compared to the lowest-level health facility. This suggests that the referral system in the district may be effective, as patients with advanced HIV disease with a higher likelihood of virological non-suppression are referred from lower levels to facilities with greater resources to provide comprehensive care. These findings highlight the importance of providing appropriate levels of care for patients based on their clinical needs and the role of efficient referral systems in optimizing health outcomes for people living with HIV.

Contrary to other studies, we did not find any association between sexual behaviour [53] and virologically non-suppression.

Results from the health worker interviews showed that the majority of facilities had trained health workers attending to patients. Training could reduce the impact of virological non-suppression as it necessitates informed decisions and builds the confidence of health workers. Previous studies also indicated that health worker training has an impact on patient outcomes [57].

A strength of our study was the use of interviews to supplement the information obtained from secondary data, which enabled the exploration of unique determinants of virological non-suppression not routinely captured among HIV-positive patients seeking care. Additionally, adjusting for the clustering of variables by health facility level during multivariable analysis allowed us to account for data correlation of observation at facility level.

However, some limitations also need to be noted. Some questions required participants to recall key events, which could have introduced an element of recall bias [58]. Social desirability bias could have influenced some participants to respond to questions assessing sensitive topics, such as sexual behaviour, with reservations. Missingness of some secondary data may have led to selection bias. For example, interviewed participants were older than the non-interviewed participants which could have biased the final results since age was identified as a key predictor of virological suppression [59]. Furthermore, the failure to collect information on the models of care used in the health facilities may have resulted in the missing of valuable information that could inform treatment differentiation policies for people living with HIV in fishing communities. Whereas the study assessed disclosure and partner HIV status, it missed out on assessing these with focus on participants that had multiple partners.

In conclusion, our study found that the prevalence of virological non-suppression among people living with HIV along the shores of Lake Albert is alarmingly high, at twice the UNAIDS threshold of 10%. Key determinants of virological non-suppression in fishing communities include hazardous use of alcohol, unemployment, age younger than 50 years, and distant HIV treatment services. We, therefore, recommend that the responsible authorities establish HIV medicine refill points at fish landing sites to extend access to HIV treatment services. Additionally, targeted interventions should be developed to address hazardous alcohol use and unemployment. By implementing these recommendations, we can work towards reducing the prevalence of virological non-suppression and improving health outcomes for people living with HIV along the shores of Lake Albert and in fishing communities elsewhere.

Acknowledgments

The authors of the research manuscript express their gratitude to several parties for their contributions to the study. Specifically, they acknowledge the School of Public Health at Makerere University for providing the platform to conduct the study, the capacity-building department at the Infectious Diseases Institute for their mentorship throughout the research process, the people of Bulisa district for their support during data collection and cooperation throughout the study, and the author’s family members for their moral, social, and financial support during the development of the manuscript.

References

  1. 1. Organization WH. Focus on key populations in national HIV strategic plans in the WHO African Region. World Health Organization. Regional Office for Africa; 2018.
  2. 2. Kissling E, Allison EH, Seeley JA, Russell S, Bachmann M, Musgrave SD, et al. Fisherfolk are among groups most at risk of HIV: cross-country analysis of prevalence and numbers infected. Aids. 2005;19(17):1939–46. pmid:16260899
  3. 3. Gordon A. HIV/AIDS in the fisheries sector in Africa. 2005.
  4. 4. Kapesa A, Basinda N, Nyanza EC, Mushi MF, Jahanpour O, Ngallaba SE. Prevalence of HIV infection and uptake of HIV/AIDS services among fisherfolk in landing Islands of Lake Victoria, north western Tanzania. BMC health services research. 2018;18(1):980. pmid:30563534
  5. 5. Mafigiri R, Matovu JK, Makumbi FE, Ndyanabo A, Nabukalu D, Sakor M, et al. HIV prevalence and uptake of HIV/AIDS services among youths (15–24 years) in fishing and neighboring communities of Kasensero, Rakai District, south western Uganda. BMC public health. 2017;17(1):251. pmid:28288604
  6. 6. MoH. UGANDA POPULATION-BASED HIV IMPACT ASSESSMENT UPHIA 2016–2017. 2017.
  7. 7. Tumwesigye NM, Atuyambe L, Wanyenze RK, Kibira SP, Li Q, Wabwire-Mangen F, et al. Alcohol consumption and risky sexual behaviour in the fishing communities: evidence from two fish landing sites on Lake Victoria in Uganda. BMC public health. 2012;12(1):1069.
  8. 8. Smolak A. A meta-analysis and systematic review of HIV risk behavior among fishermen. AIDS care. 2014;26(3):282–91. pmid:23941609
  9. 9. Eisinger RW, Dieffenbach CW, Fauci AS. HIV viral load and transmissibility of HIV infection: undetectable equals untransmittable. Jama. 2019;321(5):451–2. pmid:30629090
  10. 10. Loutfy MR, Wu W, Letchumanan M, Bondy L, Antoniou T, Margolese S, et al. Systematic review of HIV transmission between heterosexual serodiscordant couples where the HIV-positive partner is fully suppressed on antiretroviral therapy. PloS one. 2013;8(2):e55747. pmid:23418455
  11. 11. Rodger AJ, Cambiano V, Bruun T, Vernazza P, Collins S, Degen O, et al. Risk of HIV transmission through condomless sex in serodifferent gay couples with the HIV-positive partner taking suppressive antiretroviral therapy (PARTNER): final results of a multicentre, prospective, observational study. The Lancet. 2019. pmid:31056293
  12. 12. Quinn TC, Wawer MJ, Sewankambo N, Serwadda D, Li C, Wabwire-Mangen F, et al. Viral load and heterosexual transmission of human immunodeficiency virus type 1. New England journal of medicine. 2000;342(13):921–9.
  13. 13. Hankins CA, de Zalduondo BO. Combination prevention: a deeper understanding of effective HIV prevention. LWW; 2010. pmid:21042055
  14. 14. Kurth AE, Celum C, Baeten JM, Vermund SH, Wasserheit JNJCHaR. Combination HIV prevention: significance, challenges, and opportunities. 2011;8(1):62–72.
  15. 15. Nyadoi Priscilla., Ambrose Mugisha., Moses Murungi., Suzan Owino., Joseph Odong., Teddy Namirimu., et al. Unlocking Local Community Potential for Sustainable Natural Resource Management in Uganda’s Albertine-Oil Region. 2012.
  16. 16. MoH(eHMIS). Uganda electronic Health Management Information Systsem 2019. Available from: https://hmis2.health.go.ug/hmis2/dhis-web-commons/security/login.action.
  17. 17. Bulage L, Ssewanyana I, Nankabirwa V, Nsubuga F, Kihembo C, Pande G, et al. Factors associated with Virological non-suppression among HIV-positive patients on antiretroviral therapy in Uganda, august 2014–July 2015. BMC infectious diseases. 2017;17(1):326. pmid:28468608
  18. 18. UNAIDS. Understanding fast‐track: Accelerating action to end the AIDS epidemic by 2030. UNAIDS Geneva; 2015.
  19. 19. UNAIDS. aids JUNPo: 90–90–90: an ambitious treatment target to help end the AIDS epidemic. 2014.
  20. 20. Kwena ZA, Bukusi E, Omondi E, Ng’ayo M, Holmes KK. Transactional sex in the fishing communities along Lake Victoria, Kenya: a catalyst for the spread of HIV. African Journal of AIDS Research. 2012;11(1):9–15. pmid:25870893
  21. 21. Sileo KM, Kizito W, Wanyenze RK, Chemusto H, Reed E, Stockman JK, et al. Substance use and its effect on antiretroviral treatment adherence among male fisherfolk living with HIV/AIDS in Uganda. PloS one. 2019;14(6):e0216892. pmid:31158232
  22. 22. Statistics UBOJKUBoS. The national population and housing census 2014-main report. 2016.
  23. 23. Ministry of Health U. Consolidated Guidelines For The Prevention And Treatment Of HIV andAIDS. second edition ed2018.
  24. 24. Rangarajan S, Colby DJ, Le Truong Giang DDB, Nguyen HH, Tou PB, Danh TT, et al. Factors associated with HIV viral load suppression on antiretroviral therapy in Vietnam. Journal of virus eradication. 2016;2(2):94. pmid:27482442
  25. 25. Jobanputra K, Parker LA, Azih C, Okello V, Maphalala G, Kershberger B, et al. Factors associated with virological failure and suppression after enhanced adherence counselling, in children, adolescents and adults on antiretroviral therapy for HIV in Swaziland. PloS one. 2015;10(2):e0116144. pmid:25695494
  26. 26. Kiweewa F, Esber A, Musingye E, Reed D, Crowell TA, Cham F, et al. HIV virologic failure and its predictors among HIV-infected adults on antiretroviral therapy in the African Cohort Study. PloS one. 2019;14(2):e0211344. pmid:30721233
  27. 27. Tchouwa GF, Eymard-Duvernay S, Cournil A, Lamare N, Serrano L, Butel C, et al. Nationwide Estimates of Viral Load Suppression and Acquired HIV Drug Resistance in Cameroon. EClinicalMedicine. 2018;1:21–7. pmid:31193678
  28. 28. Ojha CR, Shakya G, Dumre SP. Virological and immunological status of the people living with HIV/AIDS undergoing ART treatment in Nepal. BioMed research international. 2016;2016. pmid:27547761
  29. 29. Joseph Davey D, Abrahams Z, Feinberg M, Prins M, Serrao C, Medeossi B, et al. Factors associated with recent unsuppressed viral load in HIV-1-infected patients in care on first-line antiretroviral therapy in South Africa. International journal of STD & AIDS. 2018;29(6):603–10.
  30. 30. Rupérez M, Pou C, Maculuve S, Cedeno S, Luis L, Rodríguez J, et al. Determinants of virological failure and antiretroviral drug resistance in Mozambique. Journal of Antimicrobial Chemotherapy. 2015;70(9):2639–47. pmid:26084302
  31. 31. Chhim K, Mburu G, Tuot S, Sopha R, Khol V, Chhoun P, et al. Factors associated with viral non-suppression among adolescents living with HIV in Cambodia: a cross-sectional study. AIDS research and therapy. 2018;15(1):20. pmid:30445984
  32. 32. Tanner Z, Lachowsky N, Ding E, Samji H, Hull M, Cescon A, et al. Predictors of viral suppression and rebound among HIV-positive men who have sex with men in a large multi-site Canadian cohort. BMC infectious diseases. 2016;16(1):590. pmid:27769246
  33. 33. Izudi J, Alioni S, Kerukadho E, Ndungutse D. Virological failure reduced with HIV-serostatus disclosure, extra baseline weight and rising CD4 cells among HIV-positive adults in northwestern Uganda. BMC infectious diseases. 2016;16(1):614. pmid:27793124
  34. 34. Warrier R, Pry J, Elish P, Kaumba P, Smith H, Sikazwe I, et al., editors. The" Failure Cascade" for patients with unsuppressed viral load in Zambia: Results from a large HIV treatment cohort. JOURNAL OF THE INTERNATIONAL AIDS SOCIETY; 2019: JOHN WILEY & SONS LTD THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W ….
  35. 35. Tarquino IAP, Venables E, de Amaral Fidelis JM, Giuliani R, Decroo T. “I take my pills every day, but then it goes up, goes down. I don’t know what’s going on”: Perceptions of HIV virological failure in a rural context in Mozambique. A qualitative research study. PloS one. 2019;14(6):e0218364.
  36. 36. Fox MP, Berhanu R, Steegen K, Firnhaber C, Ive P, Spencer D, et al. Intensive adherence counselling for HIV‐infected individuals failing second‐line antiretroviral therapy in Johannesburg, South Africa. Tropical Medicine & International Health. 2016;21(9):1131–7. pmid:27383454
  37. 37. Phiri N, Tal K, Somerville C, Msukwa MT, Keiser O. “I do all I can but I still fail them”: Health system barriers to providing Option B+ to pregnant and lactating women in Malawi. PloS one. 2019;14(9).
  38. 38. Pasquet A, Messou E, Gabillard D, Minga A, Depoulosky A, Deuffic-Burban S, et al. Impact of drug stock-outs on death and retention to care among HIV-infected patients on combination antiretroviral therapy in Abidjan, Côte d’Ivoire. PloS one. 2010;5(10):e13414.
  39. 39. Gils T, Bossard C, Verdonck K, Owiti P, Casteels I, Mashako M, et al. Stockouts of HIV commodities in public health facilities in Kinshasa: Barriers to end HIV. PloS one. 2018;13(1):e0191294. pmid:29351338
  40. 40. Umar E, Levy JA, Bailey RC, Donenberg G, Hershow RC, Mackesy-Amiti ME. Virological non-suppression and its correlates among adolescents and young people living with HIV in Southern Malawi. AIDS and Behavior. 2019;23(2):513–22. pmid:30132172
  41. 41. Ekouevi DK, Stringer E, Coetzee D, Tih P, Creek T, Stinson K, et al. Health facility characteristics and their relationship to coverage of PMTCT of HIV services across four African countries: the PEARL study. PloS one. 2012;7(1):e29823. pmid:22276130
  42. 42. Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA. The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Archives of internal medicine. 1998;158(16):1789–95.
  43. 43. Kagaayi J, Chang LW, Ssempijja V, Grabowski MK, Ssekubugu R, Nakigozi G, et al. Impact of combination HIV interventions on HIV incidence in hyperendemic fishing communities in Uganda: a prospective cohort study. The Lancet HIV. 2019;6(10):e680–e7. pmid:31533894
  44. 44. Wasserman Neter J. W., and Kutner MH. Ap-plied Linear Statistical Models. 1990.
  45. 45. Franke GR. Multicollinearity. Wiley International Encyclopedia of Marketing. 2010.
  46. 46. Vatcheva KP, Lee M, McCormick JB, Rahbar MHJE. Multicollinearity in regression analyses conducted in epidemiologic studies. 2016;6(2).
  47. 47. Hosmer Jr DW, Lemeshow S, Sturdivant RX. Applied logistic regression: John Wiley & Sons; 2013.
  48. 48. Omooja J, Nannyonjo M, Sanyu G, Nabirye SE, Nassolo F, Lunkuse S, et al. Rates of HIV-1 virological suppression and patterns of acquired drug resistance among fisherfolk on first-line antiretroviral therapy in Uganda. Journal of Antimicrobial Chemotherapy. 2019;74(10):3021–9. pmid:31257432
  49. 49. Ghidei L, Simone MJ, Salow MJ, Zimmerman KM, Paquin AM, Skarf LM, et al. Aging, antiretrovirals, and adherence: a meta analysis of adherence among older HIV-infected individuals. 2013;30(10):809–19.
  50. 50. Hadland SE, Milloy M-J, Kerr T, Zhang R, Guillemi S, Hogg RS, et al. Young age predicts poor antiretroviral adherence and viral load suppression among injection drug users. 2012;26(5):274–80.
  51. 51. Kagee A, Saal W, Bantjes J, Sterley AJAc. Correlates of viral non-suppression among South African antiretroviral therapy users: comorbidity of major depression, posttraumatic stress, and alcohol use disorders. 2021:1–7.
  52. 52. Kyser M, Buchacz K, Bush TJ, Conley LJ, Hammer J, Henry K, et al. Factors associated with non-adherence to antiretroviral therapy in the SUN study. 2011;23(5):601–11.
  53. 53. Tomita A, Vandormael A, Bärnighausen T, Phillips A, Pillay D, De Oliveira T, et al. Sociobehavioral and community predictors of unsuppressed HIV viral load: multilevel results from a hyperendemic rural South African population. Aids. 2019;33(3):559–69. pmid:30702520
  54. 54. Billioux VG, Grabowski MK, Ssekasanvu J, Reynolds SJ, Berman A, Bazaale J, et al. HIV viral suppression and geospatial patterns of HIV antiretroviral therapy treatment facility use in Rakai, Uganda. 2018;32(6):819.
  55. 55. Long L, Kuchukhidze S, Pascoe S, Nichols BE, Fox MP, Cele R, et al. Retention in care and viral suppression in differentiated service delivery models for HIV treatment delivery in sub‐Saharan Africa: a rapid systematic review. 2020;23(11):e25640.
  56. 56. Roberts T, Beyers N, Aguirre A, Walzl GJTJoid. Immunosuppression during active tuberculosis is characterized by decreased interferon-γ production and CD25 expression with elevated forkhead box P3, transforming growth factor-β, and interleukin-4 mRNA levels. 2007;195(6):870–8.
  57. 57. Rackal JM, Tynan AM, Handford CD, Rzeznikiewiz D, Agha A, Glazier RJCDoSR. Provider training and experience for people living with HIV/AIDS. 2011(6).
  58. 58. Yu I, Tse SJHKmjXyxzz. Workshop 6—sources of bias in cross-sectional studies; summary on sources of bias for different study designs. 2012;18(3):226.
  59. 59. Hailu GG, Hagos DG, Hagos AK, Wasihun AG, Dejene TA. Virological and immunological failure of HAART and associated risk factors among adults and adolescents in the Tigray region of Northern Ethiopia. PloS one. 2018;13(5):e0196259. pmid:29715323