Figures
Abstract
Background
Despite several interventions to eradicate HIV/AIDS globally, virological failure continues to threaten the goals of antiretroviral therapies (ART) and quality of life (QoL) of people with HIV/AIDS (PWHA). This study aimed to assess the prevalence and predictors of virological failure and determine the QoL of PWHA.
Methods
A cross-sectional study was conducted at the ART clinic of a Municipal Hospital, from June to August 2023, to assess the socio-demographic, medical data, and QoL of PWHA receiving therapy at the clinic. Participants were randomly selected and interviewed: their weight and height were taken and their clinic folders examined to assess virological failure status. Both self-developed structured questionnaire and the WHOQOL-HIV BREF scale (Cronbach alpha = 0.84) were used to assess participants’ data. Bivariate and multiple logistic regression analysis were conducted to determine predictors of virological failure. Also, multiple linear regression was conducted to determine factors influencing QoL of study participants.
Results
A total of 398 participants comprising of 328 (82.41%) females, and with a mean age of 48.2 years (SD ± 11.71 years), were recruited into the study. The prevalence of virological failure was 6.03%. Factors such as forgetting to take ART (Adjusted Odds Ratio (AOR) = 2.87, 95% Confidence Interval (CI) = 1.02, 7.51; p = 0.04), being classified as baseline WHO clinical staging II (AOR = 6.20, 95% CI = 1.91, 20.04; p = 0.002), and HIV stigmatization (AOR = 3.97, 95% C.I. = 1.1, 14.25; p = 0.035) were associated with virological failure. The overall QoL was good (75.35%). Having no comorbidities (Coefficient of Determination (β) = −2.7, p < 0.0001), having social support (β = 3.94, p < 0.0001) and receiving an average monthly income (β = 2.03, p = 0.002) contributed to good QoL.
Conclusion
Virological failure in the municipality exceeded the 5.0% target set by the Joint United Nations Programme, despite majority of the study participants presenting with good QoL. The National AIDS Control Programme should consider long-acting injectable therapy for PWHA struggling to adhere to medication.
Citation: Peprah KG, Agbozo F, Kwabla MP, Tashie W, Der JB (2026) Prevalence and predictors of virological failure and quality of life of people with HIV/AIDS at a Municipal Hospital, Volta Region –Ghana: A cross-sectional study. PLoS One 21(2): e0329346. https://doi.org/10.1371/journal.pone.0329346
Editor: Okikiolu Badejo, Institute of Tropical Medicine / University of Antwerp, BELGIUM
Received: July 15, 2025; Accepted: January 27, 2026; Published: February 13, 2026
Copyright: © 2026 Peprah et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files. Also, the raw data has been deposited in Figshare repository with a Digital Object Identifier (10.6084/m9.figshare.30488432).
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: β, Regression coefficient; 3TC, Lamivudine; AIDS, Acquired Immune Deficiency Syndrome; AOR, Adjusted Odds Ratio; ART, AntiRetroviral Therapy; AZT, Zidovudine; BMI, Body Mass Index; CI, Confidence Interval; DTG, Dolutegravir; EFV, Efavirenz; GHS, Ghana Cedis; HIV, Human Immunodeficiency Virus; NACP, National AIDS Control Programme; NVP, Nevirapine; PWHA, People With HIV/AIDS; QoL, Quality of Life; R2, Coefficient of Determination; SD, Standard Deviation; SSA, Sub-Saharan Africa; TB, Tuberculosis; TDF, Tenofivir Disoproxil Fumarate; UNAIDS, Joint United Nations Program on HIV/AIDS; WHO, World Health Organization; WHOQOL, World Health Organization Quality of Life
Introduction
The Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome (HIV/AIDS) menace still remains a public health problem [1,2]. Approximately 37.7 million individuals are living with HIV/AIDS globally, with about 25.7 million cases occurring in sub-Saharan Africa [3]. In Ghana, about 334,095 people were estimated to be living with HIV/AIDS in the year 2023 [4]. Several interventions have been implemented in healthcare systems to reduce the burden of HIV/AIDS and subsequently control the HIV epidemic [1,5–7]. Despite these interventions, virological failure continues to impede the health and quality of life (QoL) of people with HIV/AIDS (PWHA) [8].
Antiretroviral therapy (ART) is primarily used to achieve long-term suppression of HIV replication and prolong the life of people with HIV/AIDS (PWHA) [2,9]. ART improves quality of life (QoL) and reduces HIV-associated morbidity and mortality among PWHA [10,11]. The Joint United Nations Programme on HIV/AIDS (UNAIDS), as part of its mandate to end HIV globally, is determined to ensure that 95% of the total population know their HIV status, 95% of people with HIV/AIDS initiates ART, and ensure that 95% of PWHA on therapy achieve viral suppression by the end of 2030 [12].
In Ghana, about 1.66% of the adult population are living with HIV/AIDS whilst about 1.50% of adult population in the Volta Region are living with HIV/AIDS [13]. Although the regional HIV prevalence is slightly lower than the national prevalence, the burden of HIV in the Volta Region remains a public health concern. The advent of new generation ART has been instrumental in reducing HIV replication among PWHA. However, virological failure continues to threaten the goals of ART [14]. Virological failure is a type of HIV treatment failure where the viral load of a person with HIV/AIDS fails to fall below 1000 copies/mL despite taking ART for at least 6 months [15,16]. This treatment failure contributes to high HIV mortality, drug resistance and poor QoL among PWHA [17].
QoL is the feeling of overall life satisfaction, as determined by the mentally alert individual whose life is being evaluated, and it reviews the physical health, social support, financial security, spiritual and emotional well-being of these individuals [18]. QoL is an excellent prognostic indicator for diseases and its application can be used to support decision making which are needed to improve the health of PWHA [19]. Virological failure worsens the health of PWHA by increasing their viral load and reducing the body’s immunity [20]. The reduction in immunity facilitates the development of opportunistic infection, drug resistance and other psychiatric disorders such as depression and anxiety [21]. These worsen the QoL of PWHA [22]. Although the prevalence of virological failure has been determined across several countries in Africa, only few studies have achieved 95% viral suppression rate as established by UNAIDS [17,23,24]. In Ghana, several studies suggest that virological failure continues to impede the goals of ART and UNAIDS [12,25–27].
Ketu South Municipality is among the municipalities in the Volta Region with a high HIV/AIDS burden, noted for risky sexual behaviors such as transactional sex [13]. Despite this assertion, there appears to be paucity of data on virological failure and QoL of PWHA in the municipality. Few researchers have conducted similar works in other municipalities, however, the social, cultural and behavior differences existing among communities and the need to strengthen HIV interventions in the municipality warrant the need to conduct this study [25,28,29]. Therefore, this study aimed to determine the prevalence and predictors of virological failure and QoL of PWHA in the Ketu South Municipality.
Methods
Study setting
A hospital-based cross-sectional study was conducted in the Ketu South Municipality of the Volta Region of Ghana from June to August 2023. The municipality has a total land area of about 261 square kilometers, with a population of 253,122 as reported by the 2021 national population and housing census, and shares border with the Republic of Togo [30]. Despite the municipality’s population being composed of farmers and traders, there is also the presence of high-risk behaviors, such as transactional sex, which is commonly observed among border towns [31,32]. Participants were recruited from the ART clinic of the municipal hospital, which serves as the major referral hospital for neighboring health facilities.
Eligibility criteria
PWHA aged 18 years and above who had been on ART for at least 6 months and had at least one documented viral load measurement were considered for recruitment into the study. Participants who did not have complete medical record prior to the study were excluded. Similarly, individuals who did not give written informed consent were excluded from the study.
Study design and sampling technique
The study employed a cross-sectional design among PWHA receiving care at the ART clinic. Eligible participants with complete medical records were considered for enrolment into the study. This design enabled the collection of secondary data from medical records as well as primary data through face-to-face interviews. A simple random sampling technique was used to select participants from the HIV population attending the ART clinic of the municipal hospital. This sampling method reduces selection bias and ensures that every eligible client has an equal opportunity of being recruited into the study. Consequently, the findings from this study can be generalized to the wider HIV population who attend the clinic. Specifically, the lottery method of simple random sampling was employed. During the sampling process, unique identification numbers were assigned to all PWHA who visited the ART clinic on clinic days. Each identification number was written on a piece of paper, folded, and placed in a bowl. The papers were thoroughly mixed for about one minute, after which numbers were randomly drawn without replacement until the required daily sample size was achieved. Individuals corresponding to the selected numbers were then approached, and those who provided written informed consent were recruited into the study. Data were collected on all eligible participants on the same day they were enrolled in the study. This procedure was repeated on each clinic day throughout the seven-week data collection period. The ART clinic operates twice a week, with an average of 50 clients reviewed per clinic day. The study aimed to recruit 30 participants during each clinic session. To estimate the data collection period, the total sample size of 398 was divided by the expected weekly recruitment capacity of 60 participants. This calculation indicated that approximately seven weeks were needed to complete data collection. With two clinic days per week, the weekly target of 60 participants was split evenly, resulting in a daily recruitment quota of 30 participants.
Sample size calculation
The Cochran sample size formula was used to calculate the sample size for this study. Using a 95% confidence level, 5% sample error, 1.96 standard error and a prevalence of virological failure at 38%, the sample size was calculated to be 362 [33]. A 10% non-response rate was applied to this value, resulting in a final sample size of 398 participants.
Data collection procedure
The study used a structured questionnaire to collect data through face-to-face interviews conducted by the principal researcher in accordance with strict ethical guidelines. Two questionnaires were used for data collection: a pre-tested, self-developed structured questionnaire and another adopted from the World Health Organization. Both questionnaires were administered during the interviews to obtain relevant information from participants. The self-developed questionnaire collected data on drug adherence, social support, stigma, behavioral attitude, clinical characteristics, and socio-demographic information. The WHOQOL-HIV BREF scale, adopted from the World Health Organization (WHO), was specifically used to assess participants’ QoL [34]. After the interviews, each participant’s hospital folder and electronic medical database were reviewed to obtain viral load results and other relevant medical information. The height (in metres) and weight (in kilograms) of participants were also measured to determine their body mass index (BMI). These data were collected electronically using the Kobo Collect software and exported into Microsoft Excel 2016 for analysis.
Quality of life instrument
The WHOQOL-HIV BREF scale was used to assess the quality of life (QoL) of study participants. The instrument consists of 31 questions categorized into six domains: physical health, psychological health, level of independence, social relationships, environment and spirituality. Each question is rated on a five-point Likert-type scale reflecting participants’ perceptions. Participants’ responses were scored from 1 to 5, with higher scores indicating better perceived quality of life. Scores were assigned in ascending order from option 1(lowest score) to option 5 (highest score). For selected negatively worded items, reverse scoring was applied so that higher values consistently indicated better QoL. Domain scores were computed by summing the item scores within each domain. Each domain was then divided by the maximum attainable score for that domain and expressed as a percentage. Based on the percentage scores, QoL was categorized as excellent (80–100), good (60–70) and poor (<60) [35]. The internal consistency of the WHOQOL-HIV BREF was assessed using Cronbach’s alpha coefficient (α). The overall QoL scale showed good internal consistency (α = 0.84). However, the physical (α = 0.44), psychological (α = 0.63), social relationships (α = 0.36), environment (α = 0.59), and spirituality (α = 0.42) domains showed low to moderate internal consistency.
Statistical analysis
The dependent variables were virological failure and QoL, whereas the independent variables were the characteristics of socio-demographics, social support, baseline HIV information, stigma, adherence and behavioral attitude of people with HIV/AIDS. Descriptive analysis was perfomed to determine mean and standard deviation for the continuous variables, and frequencies and percentages for the categorical variables. In the inferencial statistics, bivariate logistic regression was performed to determine predictor variables that were associated with virological failure. Predictor variables with p-value less than 0.2 were fitted into the multiple logistic regression analysis. An initial p-value threshold of less than 0.2 was used in the bivariate logistic regression to screen the numerous predictor variables. This approach ensured that potential predictors and confounders were included for adjustment in the multiple logistic regression analysis. In the multiple logistic regression, variables with p-value less than 0.05 were considered as significant predictors of virological failure. Multiple linear regression analysis was also performed to determine factors that were associated with QoL of participants. At all times, a p-value < 0.05 was considered as statistically significant. All analysis were performed using STATA (version 13).
Ethical consideration
Approval for this study was obtained from the Ethics Review Committee of University of Health and Allied Sciences (UHAS-REC A.5 [1] 22–23). Permission was sought from the Municipal Hospital before accessing the facility for the study. Written informed consent was also obtained from each participant after the objective and rationale of the study had been explained to them.
Results
Socio-demographic characteristics of people with HIV/AIDS
A total of 398 people with HIV/AIDS were included in the study, of which 328 (82.41%) were females. Also, 120 (30.15%) participants had no formal education whereas 139 (34.92%) and 100 (25.13%) had completed basic and junior high school respectively. The majority of study participants (193, 48.54%) were married whilst 115 (28.89%) and 44 (11.06%) were widowed and single respectively (Table 1).
Clinical and adherence characteristics of people with HIV/AIDS
There were 88 (22.1%) study participants with comorbidities such as hypertension, tuberculosis and diabetes; 93 (23.37%) had a history of discontinuing their ART medication; and 262 (65.83%) had kept ART scheduled appointment. Also, 379 (95.23%) were currently taking TDF-3TC-DTG antiretroviral combination therapy. Additionally, 108 (27.14%) participants had ever forgotten to take their ART medication. It was noted that 280 (70.35%) participants had their HIV status disclosed. Only 29 (7.34%) reported to have been stigmatized. This is summarized in Table 2.
Factors associated with virological failure among people with HIV/AIDS
Table 3 presents the results of both bivariate and multiple logistic regression analysis examining variables of participants associated with virological failure. The multiple logistic regression model explained 34% of the variability in virological failure (pseudo coefficient of determination (R2) = of 0.3403). People with HIV/AIDS who were grouped in baseline WHO stage 2 were 6 times more likely to develop virological failure compared with their counterparts in WHO stages 1 (AOR = 6.2; 95%CI = 1.91, 20.04; p = 0.002). Also, people with HIV/AIDS who forgot to take their ART medication were 2.78 times more likely to develop virological failure than those who always take their medication (AOR = 2.78; 95%CI = 1.02, 7.51; p = 0.04). People with HIV/AIDS who reported being stigmatized were 2 times more likely to develop virological failure than those who reported not being stigmatized (AOR = 2.11; 95%CI = 1.1, 14.25; p = 0.035).
Components of quality of life in relation to gender
Table 4 summarizes the various QoL domains in relation to gender. There were significant relationship between overall QoL (p = 0.0002), physical domain (p = 0.005), psychological (p < 0.0001) and environment domain (p < 0.0001) in relation to gender. Health satisfaction (p = 0.9398), level of independence (p = 0.118), social relationships (p = 0.1945) and spiritual/religion/personal belief were not significantly related to gender. The overall QoL mean score was 75.35% (SD: 6.77). The physical domain recorded the highest score (86.01%) whilst the environmental domain recorded the least score (62.73%).
Factors associated with quality of life of people with HIV/AIDS
Table 5 presents the results of the multiple linear regression analysis examining the association between participants’ characteristics and overall QoL. The model explained 27.2% of the variance in overall QoL (R2 = 0.2717; adjusted R2 = 0.2245). Variables such as male gender (β = 0.048, P = 0.048) and monthly income (β = 2.03, p = 0.002) were positively associated with overall QoL. Also, social support (β = 2.94, p < 0.0001) and comorbidity (β = −2.7, p < 0.0001) were significantly associated with overall QoL.
Discussion
The study determined the prevalence and predictors of virological failure and assessed the QoL of people with HIV/AIDS. The prevalence of virological failure observed in this study was 6.03%, which is slightly higher than the global UNAIDS target of 5.0% [36,37]. However, it is substantially lower than estimates reported in earlier Ghanaian studies by Abubakari et al. (47%), Owusu et al. (19%) and Boakye et al. (24%) [12,25,26]. The relatively low prevalence observed in this study may be attributed to the fact that the majority of participants (97.47%) were receiving dolutegravir-based regimens. Unlike this study, earlier Ghanaian studies reporting higher virological failure rates predominantly involved participants on efavirenz-based first-line therapy. Dolutegravir has been shown to achieve sustained viral suppression, has a high tolerance rate and provides a higher resistance barrier against mutations, with studies from both Botswana and Ghana confirming its superior effectiveness compared to efavirenz in reducing viral load [23,26,38,39]. This shift towards dolutegravir-based treatment in the current study population likely contributed to the lower virological failure rate. In addition to the widespread use of dolutegravir-based treatment, the high rate of HIV status disclosure among participants (70.35%) may also have contributed to the low prevalence of virological failure. Individuals who disclose their HIV status are more likely to receive strong social support, including companionship, coping strategies, financial aid and emotional support [40,41]. Such support not only improves quality of life but also promote better adherence to ART. Improved adherence, in turn, enhances viral suppression and reduces the likelihood of treatment failure.
The study further identified HIV-related stigma, forgetfulness in taking ART and WHO clinical staging II at baseline as significant predictors of virological failure. Participants who reported forgetting to take their ART medications were more likely to develop virological failure compared to those who adhered strictly to treatment. Notably, most instances of forgetfulness occurred during the weekends, suggesting that disruptions in routine activities during this period may contribute to missed doses. Although the present study did not investigate the specific reasons for the forgetfulness in taking ART, previous studies have shown that factors such as being busy, travelling, depression, stress and lack of medication reminders may contribute to poor adherence [42,43]. ART must therefore be taken daily to maintain adequate drug concentrations in the bloodstream and ensure sustained virologic control. Missed doses reduce drug levels to sub-therapeutic thresholds, allowing viral replication. Repeated lapses in adherence may eventually lead to the development of drug-resistant viral strains, thereby reducing treatment effectiveness and increasing the risk of virological failure [43,44]. These findings align with observations in other researchers [14,45,46].
The study also observed that PWHA who are classified under WHO clinical stage II at baseline were more likely to develop virological failure. Individuals in this stage often present with mild clinical symptoms including unexplained weight loss of less than 10% of total body weight, recurrent respiratory infections and other dermatological symptoms prior to antiretroviral therapy initiation [47]. Such individuals are often diagnosed late, and the late diagnosis is associated with a higher risk of HIV transmission, treatment failure, opportunistic infections and increased viral load [48]. This finding aligns with a study from Ethiopia by Desta and colleagues, which observed that WHO clinical staging II was associated with a higher likelihood of virological failure [49]. Similarly, Kityo et al. observed comparable findings among Ugandan children, where WHO clinical staging II significantly contributed to virological failure [50].
The study further found that participants who experienced HIV-related stigmatization were more likely to develop virological failure. This finding is consistent with observations by Hargreaves and colleagues, who reported that internalized HIV stigma was associated with an increased risk of virological failure [51]. Stigma remains a critical barrier to effective HIV management, as it undermines key interventions such as ART adherence, and discourages engagement in voluntary counselling and testing. Stigmatizing experiences can lead to HIV non-disclosure, reduced social support, poor treatment outcomes, all of which contribute to the risk of virological failure [52].
The overall QoL observed among participants was good (75.35%), consistent with findings from Ghana (71.29%) and Indonesia (71.6%) [27,53]. However, the environmental domain recorded the lowest QoL score, a trend observed in studies conducted in Ghana and Portugal [54–56]. Monthly income was identified as a key factor influencing the improved QoL observed in this study. This observation aligns with a study by Ebrahimi-Kalan et al. which reported that low monthly income reduces QoL among PWHA in Iran [57]. Similarly, Jiang and colleagues observed that higher monthly income contributes to better QoL among men who have sex with other men in China [58]. Participants with higher income are better able to meet their health, nutritional and financial needs, which positively influence both immunity and mental well-being.
Social support was also found to positively influence the overall QoL of participants, affecting all domains of life assessed by the WHOQOL-HIV BREF scale. Similar findings were made by Abrefa-Gyan et al. and Birore et al. where social support positively improved the QoL of PWHA in Ghana [59,60]. Social support not only improves mental health, but also provides financial assistance, promotes HIV disclosure and improves drug adherence among PWHA [29,61]. Additionally, the absence of comorbidities contributed to the good QoL observed in this study. Participants without comorbid conditions were free from complications such as renal impairment, drug-drug interactions, and other HIV-related issues. Similar findings by Nigusso et al. and Langebeek et al. attributed higher QoL scores to the absence of comorbidities among PWHA [22,62]. Interestingly, whereas other studies have reported poor QoL among HIV-infected individuals with virological failure, this study observed good QoL among these participants.
Conclusion
Virological failure in the municipality was high, exceeding the 5.0% target set by the UNAIDS. Factors such as forgetfulness in taking ART, WHO clinical staging II and HIV stigmatization contributed to the observed virological failure. Therefore, it is recommended that the Government of Ghana in collaboration with the National AIDS Control Programme (NACP), consider implementing long-acting injectable therapy in routine management of HIV/AIDS to improve medication adherence and reduce stigma among PWHA. Despite the high prevalence of virological failure, the majority of study participants presented with good QoL. Factors such as presence of social support, monthly income and the absence of comorbidities contributed to the improved QoL observed. Routine assessment of QoL in ART clinics is crucial for improving health outcomes among PWHA. Strengthening social support systems, including peer support groups within ART clinics and broader community networks, could also provide emotional stability and security for PWHA. Additionally, the NACP should collaborate with financial donors, government agencies and other social welfare organizations to establish employment opportunities and provide financial and material assistance to economically disadvantaged people with HIV/AIDS.
Supporting information
S1 Fig. Prevalence of virological failure among people with HIV/AIDS in a municipal hospital, with 93.97% of participants achieving viral suppression.
https://doi.org/10.1371/journal.pone.0329346.s001
(DOCX)
S1 File. Raw data collected from study participants.
https://doi.org/10.1371/journal.pone.0329346.s002
(XLSX)
S2 File. Study questionnaire administered to participants, including questions on adherence, stigma, quality of life, and socio-demographic information.
https://doi.org/10.1371/journal.pone.0329346.s003
(DOCX)
Acknowledgments
The authors appreciate the commitment and dedication of participants involved in the study as well as the officials of the Municipality for granting us the permission to undetake this study. We are aslo grateful to Miss. Mercy Demaris Quarm for the technical support provided throughout the study.
References
- 1. Norman ID, Kweku M, Kye-Duodu G, Der J, Awiah BM, Binka FN. The legislative and policy gaps in the national HIV and AIDS, STI policy, 2004-2014, Ghana. Beijing L Rev. 2015;6:311.
- 2. Gelaw B, Mulatu G, Tesfa G, Marew C, Chekole B, Alebel A. Magnitude and associated factors of virological failure among children on ART in Bahir Dar Town public health facilities, Northwest Ethiopia: a facility based cross-sectional study. Ital J Pediatr. 2021;47(1):84. pmid:33823890
- 3.
WHO. Summary of the global HIV epidemic, 2020. 2022. https://www.who.int/data/gho/data/themes/hiv-aids
- 4.
Commission GA. 2023 national and sub-national HIV and AIDS estimates and projections 2024. 2023. https://ghanaids.gov.gh/#/?playlistId=0&videoId=0
- 5. Goldstein M, Archary M, Adong J, Haberer JE, Kuhns LM, Kurth A, et al. Systematic review of mHealth interventions for adolescent and young adult HIV prevention and the adolescent HIV continuum of care in low to middle income countries. AIDS Behav. 2023;27(Suppl 1):94–115. pmid:36322217
- 6. Deeks SG, Archin N, Cannon P, Collins S, Jones RB, de Jong MAWP. Research priorities for an HIV cure: International AIDS society global scientific strategy 2021. Nature Medicine. 2021;27(12):2085–98.
- 7. Hodges-Mameletzis I, Fonner VA, Dalal S, Mugo N, Msimanga-Radebe B, Baggaley R. Pre-exposure prophylaxis for hiv prevention in women: current status and future directions. Drugs. 2019;79(12):1263–76. pmid:31309457
- 8. Nachega JB, Marconi VC, van Zyl GU, Gardner EM, Preiser W, Hong SY, et al. HIV treatment adherence, drug resistance, virologic failure: evolving concepts. Infect Disord Drug Targets. 2011;11(2):167–74. pmid:21406048
- 9. Pau AK, George JM. Antiretroviral therapy: current drugs. Infect Dis Clin North Am. 2014;28(3):371–402. pmid:25151562
- 10. Oguntibeju OO. Quality of life of people living with HIV and AIDS and antiretroviral therapy. HIV AIDS (Auckl). 2012;4:117–24. pmid:22893751
- 11.
Eggleton J, Nagalli S. Highly Active Antiretroviral Therapy (HAART). StatPearls. Treasure Island (FL): StatPearls Publishing. 2022.
- 12. Abubakari A, Issah H, Mutaka MAO, Asumah MN. Determinants of virological failure in HIV patients on highly active antiretroviral therapy (HAART): a retrospective cross-sectional study in the upper east region of Ghana. Venereology. 2023;2(1):16–29.
- 13.
GHANA-HIVFACTSHEET. National HIV prevalence and estimates 2022. 4. Ghana Health Service. 2022.
- 14. Daltro ACB, Almeida CS, Unfried AGC, de Aquino TR, Travassos AGÁ. Virological failure and adherence to antiretroviral therapy in adolescents and young adults living with human immunodeficiency virus. Trop Med Int Health. 2023;28(3):162–74. pmid:36647818
- 15. Fentaw Z, Molla A, Wedajo S, Mebratu W. Determinants of virological failure among adult clients on first-line antiretroviral therapy in Amhara Regional State, Northeast Ethiopia. a case -control study. HIV AIDS (Auckl). 2020;12:749–56. pmid:33239920
- 16. De La Hoz JM, Bolaño L, Cárdenas O, González R, Sabbag J, Palacio L, et al. Characterization of treatment failure in HIV positive patients in the Colombian Caribbean region. Colomb Med (Cali). 2014;45(4):162–7. pmid:25767304
- 17. Agegnehu CD, Techane MA, Mersha AT, Atalell KA. Burden and associated factors of virological failure among people living with HIV in sub-saharan Africa: a systematic review and meta-analysis. AIDS Behav. 2022;26(10):3327–36. pmid:35416596
- 18. Miners A, Phillips A, Kreif N, Rodger A, Speakman A, Fisher M, et al. Health-related quality-of-life of people with HIV in the era of combination antiretroviral treatment: a cross-sectional comparison with the general population. Lancet HIV. 2014;1(1):e32-40. pmid:26423814
- 19. Khademi N, Zanganeh A, Saeidi S, Teimouri R, Khezeli M, Jamshidi B, et al. Quality of life of HIV-infected individuals: insights from a study of patients in Kermanshah, Iran. BMC Infect Dis. 2021;21(1):203. pmid:33622262
- 20. Emagnu A, Abay Z, Bulti AB, Animut Y. Determinants of virologic failure among adult HIV patients on first-line antiretroviral therapy at waghimra zone, Northern Ethiopia: a case-control study. Advances in Public Health. 2020;2020:1–8.
- 21. Olashore AA, Paruk S, Akanni OO, Chiliza B. Psychiatric disorders in adolescents living with HIV in Botswana. AIDS Res Ther. 2023;20(1):2. pmid:36600270
- 22. Nigusso FT, Mavhandu-Mudzusi AH. Health-related quality of life of people living with HIV/AIDS: the role of social inequalities and disease-related factors. Health Qual Life Outcomes. 2021;19(1):63. pmid:33632270
- 23. Essex M, Makhema J, Lockman S. Reaching 90-90-90 in Botswana. Curr Opin HIV AIDS. 2019;14(6):442–8.
- 24. Machila N, Libonda L, Habineza P, Velu RM, Kamboyi HK, Ndhlovu J, et al. Prevalence and predictors of virological failure in pediatric patients on HAART in sub-Saharan Africa: a systematic review and meta-analysis. Pan Afr Med J. 2023;45:98. pmid:37692980
- 25. Owusu LB, Ababio C, Boahene S, Zakaria A-FS, Emikpe AO, Dwumfour CK, et al. The predictors of unsuppressed viremia among PLHIV: a cross-sectional study in Ghana. BMC Public Health. 2023;23(1):1113. pmid:37296400
- 26. Boakye P, Safowaa A. Prevalence and predictors of viral load suppression in adults living with HIV in the western region of Ghana: A cross-sectional study. AIMS Public Health. 2023;10(2):469–79. pmid:37304596
- 27. Osei-Yeboah J, Owiredu WKBA, Norgbe GK, Lokpo SY, Obirikorang C, Alote Allotey E, et al. Quality of Life of People Living with HIV/AIDS in the Ho Municipality, Ghana: A Cross-Sectional Study. AIDS Res Treat. 2017;2017:6806951. pmid:29204296
- 28. Lokpo SY, Ofori-Attah PJ, Ameke LS, Obirikorang C, Orish VN, Kpene GE, et al. Viral Suppression and Its Associated Factors in HIV Patients on Highly Active Antiretroviral Therapy (HAART): A Retrospective Study in the Ho Municipality, Ghana. AIDS Research and Treatment. 2020;2020:1–7.
- 29. Adam A, Fusheini A, Ayanore MA, Amuna N, Agbozo F, Kugbey N, et al. HIV Stigma and Status Disclosure in Three Municipalities in Ghana. Ann Glob Health. 2021;87(1):49. pmid:34164262
- 30.
Ghanadistricts. Ketu South Municipal Assembly. https://www.ghanadistricts.com/Home/District/184. 2022.
- 31.
Sikira A, Mamuya E. Risk behavior and HIV/Aids spread among petty traders in Namanga border (Tanzania and Kenya border). 2016.
- 32. Bwambale MF, Birungi D, Moyer CA, Bukuluki P, van den Borne B. Migration, personal physical safety and economic survival: drivers of risky sexual behaviour among rural-urban migrant street youth in Kampala, Uganda. BMC Public Health. 2022;22(1):1119. pmid:35658856
- 33. Afrane AKA, Goka BQ, Renner L, Yawson AE, Alhassan Y, Owiafe SN, et al. HIV virological non-suppression and its associated factors in children on antiretroviral therapy at a major treatment centre in Southern Ghana: a cross-sectional study. BMC Infect Dis. 2021;21(1):731. pmid:34340689
- 34.
WHOQOL. WHOQOL-HIV instrument: scoring and coding for the WHOQOL-HIV instruments: users manual, 2012 revision. 2012. https://www.who.int/publications/i/item/WHO-MSD-MER-Rev-2012-03
- 35. Pedroso B, Luis G, Duarte E, Alberto L, Tania C. Quality of life assessment in people living with HIV/AIDS: clarifying the WHOQOL-HIV and WHOQOL-HIV-Bref instruments. Global View of HIV Infection. InTech. 2011.
- 36. Frescura L, Godfrey-Faussett P, Feizzadeh A A, El-Sadr W, Syarif O, Ghys PD, et al. Achieving the 95 95 95 targets for all: A pathway to ending AIDS. PLoS One. 2022;17(8):e0272405. pmid:35925943
- 37. Lima VD, St-Jean M, Rozada I, Shoveller JA, Nosyk B, Hogg RS. Progress towards the United Nations 90-90-90 and 95-95-95 targets: the experience in British Columbia, Canada. J Int AIDS Soc. 2017;20(3).
- 38. Dorward J, Sookrajh Y, Khubone T, van der Molen J, Govender R, Phakathi S, et al. Implementation and outcomes of dolutegravir-based first-line antiretroviral therapy for people with HIV in South Africa: a retrospective cohort study. Lancet HIV. 2023;10(5):e284–94. pmid:37001536
- 39. Dorward J, Hamers RL. Dolutegravir in sub-Saharan Africa: context is crucial. Lancet HIV. 2019;6(2):e72–3. pmid:30503326
- 40. Foley M, Skurnick JH, Kennedy CA, Valentin R, Louria DB. Family support for heterosexual partners in HIV-serodiscordant couples. The Family and HIV Today: Recent Research And Practice. 1998. p. 141.
- 41. Jiwatram-Negrón T, El-Bassel N. Systematic review of couple-based HIV intervention and prevention studies: advantages, gaps, and future directions. AIDS Behav. 2014;18(10):1864–87. pmid:24980246
- 42. Masika LV, Mboya IB, Maro RA, Mtesha B, Mtoro MJ, Ngowi K. Forgetting to take medication, treatment adherence and their relationship with viral load suppression among people living with HIV in the Kilimanjaro Region, Tanzania. HIV/AIDS-Research and Palliative Care. 2024;:245–57.
- 43. Dybul M, Fauci AS, Bartlett JG, Kaplan JE, Pau AK, Panel on Clinical Practices for Treatment of HIV. Guidelines for using antiretroviral agents among HIV-infected adults and adolescents. Ann Intern Med. 2002;137(5 Pt 2):381–433. pmid:12617573
- 44. Masters MC, Krueger KM, Williams JL, Morrison L, Cohn SE. Beyond one pill, once daily: current challenges of antiretroviral therapy management in the United States. Expert Rev Clin Pharmacol. 2019;12(12):1129–43. pmid:31774001
- 45. Freeman R, Gwadz M, Francis K, Hoffeld E. Forgetting to take HIV antiretroviral therapy: a qualitative exploration of medication adherence in the third decade of the HIV epidemic in the United States. SAHARA J. 2021;18(1):113–30. pmid:34654350
- 46. Zenu S, Tesema T, Reshad M, Abebe E. Determinants of first-line antiretroviral treatment failure among adult patients on treatment in Mettu Karl Specialized Hospital, South West Ethiopia; a case control study. PLoS One. 2021;16(10):e0258930. pmid:34679085
- 47. Weinberg JL, Kovarik CL. The WHO clinical staging system for HIV/AIDS. Virtual Mentor. 2010;12(3):202–6. pmid:23140869
- 48. Boesecke C, Schellberg S, Schneider J, Schuettfort G, Stocker H. Prevalence, characteristics and challenges of late HIV diagnosis in Germany: an expert narrative review. Infection. 2023;51(5):1223–39. pmid:37470977
- 49. Desta AA, Woldearegay TW, Futwi N, Gebrehiwot GT, Gebru GG, Berhe AA, et al. HIV virological non-suppression and factors associated with non-suppression among adolescents and adults on antiretroviral therapy in northern Ethiopia: a retrospective study. BMC Infect Dis. 2020;20(1):4. pmid:31898535
- 50. Kityo C, Boerma RS, Sigaloff KCE, Kaudha E, Calis JCJ, Musiime V, et al. Pretreatment HIV drug resistance results in virological failure and accumulation of additional resistance mutations in Ugandan children. J Antimicrob Chemother. 2017;72(9):2587–95. pmid:28673027
- 51. Hargreaves JR, Pliakas T, Hoddinott G, Mainga T, Mubekapi-Musadaidzwa C, Donnell D, et al. HIV stigma and viral suppression among people living with HIV in the context of universal test and treat: analysis of data From the HPTN 071 (PopART) Trial in Zambia and South Africa. J Acquir Immune Defic Syndr. 2020;85(5):561–70. pmid:32991336
- 52. Gesesew HA, Mwanri L, Woldemichael K, Ward P. Stigma and HIV Care in Low-and Middle-Income Countries (LMICs). Frontiers in Public Health. 2022;10:900590.
- 53. Handajani YS, Djoerban Z, Irawan H. Quality of life people living with HIV/AIDS: outpatient in Kramat 128 Hospital Jakarta. Acta Med Indones. 2012;44(4):310–6. pmid:23314972
- 54. Pereira M, Canavarro MC. Gender and age differences in quality of life and the impact of psychopathological symptoms among HIV-infected patients. AIDS Behav. 2011;15(8):1857–69. pmid:21431413
- 55. Hattoh KA, Sienso BA, Kuugbee ED. Prevalence of Comorbidities and Associated Factors among HIV Patients Attending Antiretroviral Clinics in the Tamale Metropolis, Ghana. Venereology. 2022;2(1):1–15.
- 56. Cheabu BSN, Kuunibe N, Nkegbe PK, Yeboah P, Duah J, Addae JK, et al. Health-Seeking Behavior and Quality of Life of People Living With HIV: Novel Evidence From Ghana. J Int Assoc Provid AIDS Care. 2023;22:23259582231164219. pmid:36974420
- 57. Ebrahimi-Kalan M, Han J, Ben Taleb Z, Fennie KP, Asghari Jafarabadi M, Dastoorpoor M. Quality of life and stigma among people living with HIV/AIDS in Iran. HIV/AIDS-Research and Palliative Care. 2019;:287–98.
- 58. Jiang T, Zhou X, Wang H, Luo M, Pan X, Ma Q, et al. Psychosocial factors associated with quality of life in young men who have sex with men living with HIV/AIDS in Zhejiang, China. Int J Environ Res Public Health. 2019;16(15):2667. pmid:31349674
- 59. Abrefa-Gyan T, Cornelius LJ, Okundaye J. Socio-demographic factors, social support, quality of life, and HIV/AIDS in Ghana. J Evid Inf Soc Work. 2016;13(2):206–16. pmid:25844820
- 60. Birore CMS, Wu L, Abrefa-Gyan T, Lewis MW. Social support and quality of life among people living with HIV/AIDS (PLWHA) in Ghana. Journal of Family Issues. 2021;43(8):2159–80.
- 61. Mengistu N, Hareru HE, Shumye S, Yimer S, Sisay D, Kaso AW, et al. Health related quality of life and its association with social support among people living with HIV/AIDS receiving antiretroviral therapy in Ethiopia: a systematic review and meta-analysis. Health and Quality of Life Outcomes. 2022;20(1):77.
- 62. Langebeek N, Kooij KW, Wit FW, Stolte IG, Sprangers MAG, Reiss P, et al. Impact of comorbidity and ageing on health-related quality of life in HIV-positive and HIV-negative individuals. AIDS. 2017;31(10):1471–81. pmid:28574965