Use of non-HIV medication among people living with HIV and receiving antiretroviral treatment in Côte d’Ivoire, West Africa: A cross-sectional study


Authors: Mariam Mama Djima aff001;  Didier Koumavi Ekouevi aff001;  Jean-Pierre Gregoire aff003;  Boris Tchounga aff001;  Patrick Ahuatchi Coffie aff001;  Viet-Thi Tran aff001;  Franck Y. Touré aff001;  Jocelyne Moisan aff003
Authors place of work: PACCI, CHU Treichville, Abidjan, Côte d’Ivoire aff001;  Institut Pasteur de Côte d’Ivoire, Abidjan, Côte d’Ivoire aff002;  Faculté de pharmacie, Université Laval, Québec, Canada aff003;  Centre Inserm U 1219, ISPED, Université Victor Segalen, Bordeaux, France aff004;  Université de Lomé, Département de Santé Publique, Lomé, Togo aff005;  Axe Santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec–Université Laval, Québec, Canada aff006
Published in the journal: PLoS ONE 14(9)
Category: Research Article
doi: 10.1371/journal.pone.0221335

Summary

Background

In Côte d’Ivoire, people living with HIV (PLHIV) have free access to antiretroviral therapy (ART) and cotrimoxazole. Yet, they may use other medications to treat non-HIV diseases. Scarce data are available regarding the use of non-HIV medications in Africa. This study describes the use of non-HIV medications and identifies the factors associated with their use by PLHIV on ART in Côte d’Ivoire.

Methods

A cross-sectional study was conducted in six HIV clinics in 2016. HIV-1-infected adults receiving ART for at least one year were eligible. A standardized questionnaire was used to collect demographics, HIV characteristics and medication use data. Associated factors were identified using a multivariate adjusted Poisson regression.

Results

A total of 1,458 participants (74% women) were enrolled. The median age was 44 years, and the median duration of ART was 81 months. A total of 696 (48%) participants reported having used at least one non-HIV medication. Among the 1,519 non-HIV medications used, 550 (36%) had not been prescribed and 397 (26%) were from the nervous system class. Individuals who were more likely to report the use of at least one non-HIV medication included those who had been treated in an Abidjan HIV clinic, had a high school education level, had a monthly income between 152 and 304 euros, had a poor perceived health status, had WHO advanced clinical stage, had used traditional medicine products and had not used cotrimoxazole.

Conclusion

Almost half PLHIV on ART reported using non-HIV medication. Further research is needed to assess whether the use of non-HIV medication is appropriate given about a third of those medications are not being prescribed.

Keywords:

Biology and life sciences – Microbiology – Medical microbiology – Microbial pathogens – Viral pathogens – Immunodeficiency viruses – HIV – Retroviruses – Lentivirus – HIV – Organisms – Viruses – Viral pathogens – Immunodeficiency viruses – HIV – Retroviruses – Lentivirus – HIV – Immunodeficiency viruses – HIV – RNA viruses – Retroviruses – Lentivirus – HIV – Immunology – Vaccination and immunization – Antiviral therapy – Antiretroviral therapy – Anatomy – Nervous system – Medicine and health sciences – Pathology and laboratory medicine – Pathogens – Microbial pathogens – Viral pathogens – Immunodeficiency viruses – HIV – Retroviruses – Lentivirus – HIV – Immunology – Vaccination and immunization – Antiviral therapy – Antiretroviral therapy – Public and occupational health – Preventive medicine – Vaccination and immunization – Antiviral therapy – Antiretroviral therapy – Diagnostic medicine – HIV diagnosis and management – Cardiology – Pharmaceutics – Drug therapy – Complementary and alternative medicine – Anatomy – Nervous system – Social sciences – Sociology – Education – Schools

Introduction

The successful scale-up of antiretroviral therapy (ART) during the last two decades has changed the face of the HIV epidemic, with HIV infection now being considered a chronic disease [1]. Adequate treatment has led to reductions in AIDS-related mortality and morbidity [2, 3] and has also improved the life expectancy of people living with HIV (PLHIV), which is now almost identical to the life expectancy observed in the general population [46]. Nevertheless, increased life expectancy and aging come with new challenges in HIV management. In addition to AIDS-related diseases, PLHIV are exposed to non-HIV diseases that occur independently of the weakness of the immune system [7, 8]. Non-HIV diseases are mostly chronic diseases [7, 912]; yet, PLHIV in Africa also suffer from acute diseases, such as malaria and respiratory infections [13, 14].

In resource-limited countries, the Word Health Organization (WHO) recommends the initiation of an ART with a cotrimoxazole prophylaxis for every PLHIV [15]. In Côte d'Ivoire, ART is accessible nation-wide [16] and is free of charge in public pharmacies [1719]. This is not the case for the therapeutic management of non-communicable diseases, such as diabetes, hypertension and cancer.

In low-income countries, non-HIV medications may be purchased with or without a prescription. Taking non-HIV medications without a prescription depends on many factors, such as previous successful experiences with the same or similar medications, the cost of non-HIV disease management [19, 20], non-HIV essential medications not usually being available in public health care settings [20], the accessibility of health facilities [2124], insufficient health insurance coverage [25, 26] and perceiving that the disease is not serious [2124]. When the use of non-prescribed medications is unjustified and inappropriate, there is an increased risk of drug-drug interactions [27, 28], medication resistances, undesirable side effects and increased health expenditures [29, 30].

There is limited information on the use of non-HIV medications among PLHIV. To our knowledge, seven studies have focused on the use of non-HIV medications among PLHIV in Africa [19, 26, 3134]. In three of those studies, non-HIV medications were only listed [26, 32, 33], and in another one, the focus was on the cost of non ARV medications [19]. Only two studies, one from Senegal [31] and the other from South Africa [34], reported the proportions of PLHIV on ART who used at least one non-HIV medication (85% and 87%, respectively). In these studies, the patients included were on ART less than one year and data was not available on non HIV medication. Moreover, no distinction was made between non-HIV prescribed medications and non-HIV non-prescribed medications. To our knowledge, the use of non-HIV medications either prescribed or not has not been comprehensively studied in Africa. Our study aimed to describe the use of non-HIV medications among PLHIV on ART for at least 12 months in Côte d’Ivoire and to identify factors associated with the use of at least one non-HIV medication.

Materials and methods

Study design and settings

A cross-sectional study was conducted from April 11th to September 28th, 2016, in six HIV clinics of Côte d’Ivoire. Three of these clinics were located in Abidjan, the economic capital, one in San Pedro in the South-west of the country, one in Bouaké in the Center of the country and the last in Korhogo in the North. These cities were selected in regions with high HIV prevalence. In Abidjan, the three largest HIV clinics were selected. In the three other regions, we selected the clinic with the largest number of PLHIV.

Study population and enrollment of patients

The study population included individuals living with HIV-1, aged 18 years or older, receiving ART for at least one year. Every day during the study period, all eligible individuals attending the participating HIV clinics for a routine follow-up visit were offered to participate in the study. After confirming their eligibility in the medical patient record, the site investigator provided clear information on the study, discussed the information sheet with the participant and fixed an appointment for those who agreed to participate. Three days before the appointment date, each participant received a reminder call from a social worker to confirm the time of the interview.

Data collection

On the day of interview, the participant signed the consent form before the interview began. During the interview, a social worker collected each participant’s demographics and HIV characteristics (WHO clinical stage, history of CD4 count, clinical events, ART regimen and other treatments) using a standardized questionnaire formatted as a case report file (CRF). Data on all medications and traditional and complementary medicine (TCM) products used during the preceding 30 days were also collected. To help in identifying medications used, participants were asked to bring all medications they used. For participants who did not bring their medications, a photo library was shown to help them identify medications they were using. A pharmacist analyzed pictures of all the material brought by the participants (containers, prescription forms, and products) to determine the names, formulations and doses of all medications used by the participants.

Outcome variable

The main outcome was the use of at least one non-HIV medication. Participants were considered to use at least one non-HIV medication if they reported using any medication other than antiretroviral medications and cotrimoxazole.

Independent variables

Patient-related variables included demographic characteristics such as age, sex, have a significant other, education level, being employed or not, monthly income in euros and health insurance coverage. In the context of HIV infection, the term “older” refers to patients aged ≥ 50 years [35, 36]. A participant was considered to have health insurance coverage if he/she reported having medical or/and pharmaceutical insurance coverage. Region was defined according to the localization of the recruiting HIV center: economic capital (for clinics in Abidjan) or hinterland (for clinics in Bouaké, San Pedro and Korhogo).

Health-related variables consisted of data on perceived health status, alcohol consumption and HIV characteristics. Perceived health status was measured using a 6-level Likert scale (excellent to poor). Perceived health status was considered “at least acceptable” when the response was either excellent, very good, good or acceptable; otherwise, it was considered “poor”. Alcohol consumption was measured using questions from the WHO STEPS questionnaire (37). Two categories were defined. Alcohol users were those who reported they had used alcohol in the 30 days prior to the interview. The following HIV characteristics were abstracted from the medical records: the date of HIV diagnosis, the initial CD4 count in cells/mm3 (< 200, 200–349, 350–499, ≥ 500), and the WHO clinical stage at diagnosis. The duration of HIV infection was the number of months between the date of HIV diagnosis and the date of the interview.

Concerning treatment-related variables, we measured the use of HIV and non-HIV medications along with traditional and complementary medicines. For HIV medications, current use of ART and cotrimoxazole was abstracted from medical records. ART was classified into two categories: first-line ART (either three nucleoside reverse transcriptase inhibitors or two nucleoside reverse transcriptase inhibitors with a non-nucleoside reverse transcriptase inhibitor) and second- or third-line ART (two nucleoside reverse transcriptase inhibitors with a protease inhibitor or with an integrase inhibitor) [37, 38]. The duration of ART in months was defined as the time between the date of ART initiation and the date of the interview. Each participant was asked to report the number of ART pills taken each day. Finally, participants were considered to have used a TCM product if they reported having used a TCM within the last 30 days. TCM products were from two main TCM therapeutic modalities: 1) TCM consisting of spiritual and manual treatments, 2) TCM consisting of herbal medicines, veterinary medicines and / or mineral medicines [39].

Non-HIV medications were classified according to the WHO Anatomical Therapeutic Chemical Classification (ATC) system [40]. For each non-HIV medication, the pharmacological classes were determined. Medications that could not be identified due to a lack of information (such as medications bought in a public market and medications with information written only in Arabic or Chinese) were coded 99999. Natural products that did not have a code in the ATC classification were coded 88888. When a drug had more than one ATC code, we used the code relevant to the self-reported illness. For the choice of ATC codes for generic medications whose International Common Denominations (ICDs) were difficult to identify, we used the national list of the reimbursable medications from ministry of health that contains generic medication names associated with the ICDs for medications.

Participants were considered to have used a TCM product if they reported having used a TCM within the last 30 days.

Statistical analysis

Statistical analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC). Pearson Chi square tests were used to compare proportions, Student’s t-tests were used to compare means and Wilcoxon tests were used to compare medians. Factors associated with the use of at least one non-HIV medication were identified using a multivariate Poisson regression model. We calculated prevalence ratios (PRs) with their 95% confidence intervals (CIs) (32). To build the model, we included all variables associated with the use of at least one non-HIV medication in the unadjusted analysis (P < 0.2) and used the backward method to identify only variables independently predictive of the use of at least one non-HIV medication with a P-value < 0.05. Sex and age were forced into the final model (33, 34).

Ethical consideration

Before being enrolled in the study, each participant received clear information and provided written consent to participate, including the authorization to use personal data for research purposes. The study was approved by the National Ethics Committee for Research in Côte d’Ivoire and the ethics in research committee of CHU de Quebec-Université Laval.

Results

A total of 1,729 HIV patients were approached to participate in the study. Among them, 1,458 (84%) agreed and were included. The reasons for non-participation are summarized in Table 1.

Tab. 1.

Frequency of reported reasons to decline participation (N = 271).

<h2>Frequency of reported reasons to decline participation (N = 271).</h2>

Characteristics of the participants according to the region where they were recruited are presented in Table 2. They had a median age of 44 years, IQR (38–50), 27% were aged ≥ 50 years and 736 (50%) were recruited in Abidjan. Approximately 75% of the participants were women. Among the participants, 145 (10%) had health insurance coverage, of which 82% lived in Abidjan. In addition, 776 (53%) reported having used at least one TCM product in the 30 days preceding the interview. Participants attending an HIV clinic in Abidjan had a higher level of education and a higher income than the participants attending a hinterland HIV center.

Tab. 2.

Characteristics of the 1458 participants according to the recruitment setting.

<h2>Characteristics of the 1458 participants according to the recruitment setting.</h2>

HIV medications use

The median ART duration was 81 months (IQR: 47–110), with most participants (n = 1,182; 81%) on a first-line ART regimen. The median number of ART pills taken daily was 2 (IQR: 2–3), with 263 (18%) participants taking ≥ 5 ART pills. A total of 535 (37%) patients reported using cotrimoxazole in addition to ART, with the proportion of PLHIV using cotrimoxazole being higher in Abidjan than in the hinterland (48% vs. 25%, P = <0.0001).

Non-HIV medications use

A total of 696 (48%) participants reported using at least one non-HIV medication. Among them, 319 (46%) reported using one medication, 169 (24%) two medications, 95 (14%) three medications and 113 (16%) ≥ four medications. The median number of non-HIV medications per person was two (IQR: 1–3). Among users of non-HIV medications, 284 (41%) used only non-prescribed medications (median: 1; IQR: 1–2), 318 (46%) used only prescribed medications (median: 2; IQR: 1–3) and 94 (13%) used both prescribed and non-prescribed medications (median: 3; IQR: 2–5). Concerning non-communicable disease, the proportions of users of non-HIV medications for the treatment of cardiovascular disease and diabetes were 5% (N = 68), and 1.1% (N = 16), respectively.

Pharmacologic classes of non-HIV medications

Overall, the number of non-HIV medications reported to be used by the 696 participants totaled 1,519 (Table 3), of which 969 (64%) were prescribed. Among the 1,519 reported non-HIV medications, 397 (26%) were from the nervous system class (reported by 349 (24%) participants), and 260 (17%) were from the alimentary tract and metabolism class (reported by 214 (15%) participants). Among the 550 non-HIV non-prescribed medications, 210 (38%) were analgesics, with the majority being non-opioid medications (used by 177 (12%) participants), along with 47 (9%) antibacterial medications (used by 43 (3%) participants) and 44 (8%) anti-inflammatory and anti-rheumatic medications (used by 41 (3%) participants).

Tab. 3.

Anatomical, Therapeutic and Chemical (ATC) classification of non-HIV medications used according to whether or not they were prescribed.

<h2>Anatomical, Therapeutic and Chemical (ATC) classification of non-HIV medications used according to whether or not they were prescribed.</h2>

Factors associated with the use of at least one non-HIV medication

In the multivariate Poisson regression, after adjusting for age and sex, seven factors were statistically associated with the use of non-HIV medication (Table 4). Individuals who had a high school education level (PR = 1.17 [95% CI = 1.02–1.35] vs. unschooled), a monthly income between 152 and 304 euros (PR = 1.31 [95% CI = 1.12–1.53] vs. < 92euros), a poor (vs. at least acceptable) perceived health status (PR = 1.30 [95% CI = 1.06–1.46]), a WHO clinical stage II or III/IV (PR = 1.24 [95% CI = 1.08;1.41]; PR = 1.22 [95% CI = 1.06;1.40]), and those who were TCM product users (vs. no (PR = 1.22 [95% CI = 1.10–1.37]) were more likely to report the use of at least one non-HIV medication. Participants recruited in a hinterland HIV clinic (PR = 0.72 [95% CI = 0.64–0.82]) and cotrimoxazole users (vs. not) (PR = 0.77 [95% CI = 0.67–0.84]) were less likely to report the use at least one non-HIV medication.

Tab. 4.

Associations between patient-related, health-related and treatment-related characteristics and use of at least one non-HIV medication (N = 1458).

<h2>Associations between patient-related, health-related and treatment-related characteristics and use of at least one non-HIV medication (N = 1458).</h2>

Discussion

This is one of the first studies performed in West Africa describing the use of non-HIV medications among PLHIV on ART. In summary, 48% of PLHIV reported using at least one non-HIV medication, and 54% of them used non-prescribed drugs. The most reported classes of non-HIV medication used were the nervous system class (26%) and the alimentary tract and metabolism class (17%). Non-prescribed non-HIV medications represented 36% of 1,519 non-HIV medications, of which 39% were analgesic medications. Factors associated positively with the use of non-HIV medication were having a high level of school education, a monthly income between 152 and 304 euros, using TCM products, having a poor perceived health status and having a WHO stage II or III/IV. However, being treated in an HIV hinterland clinic and using cotrimoxazole were factors negatively associated with the use of non-HIV medication.

The proportion of PLHIV using non-HIV medications (48%) we observed was lower than those observed in most of the previous studies in both high- [4150] and low-income countries [31, 34], where the proportions varied between 68% and 95%, distributed as follows: 68% in Switzerland [46, 50], 75% in Canada [45], 82% in Spain [42], 83% in USA [43], 85% in Senegal [31] 85% in USA [44], 87% in South Africa [34], 89% in Canada [41], 91% in Canada [47], 93% in USA [48] and 95% in Canada [49]. This difference might be explained by different reasons. Older PLHIV face many aging-related diseases [51, 52]. Our population was younger than those included in the high-income countries studies. Indeed, 32% [43, 47, 50] to 100% [42] of patients from high-income countries were over 50 years old, whereas in our study, only 27% were over 50 years old. Third, in the studies in high-income countries, 79% [43, 48] to 100% [45] of participants had public or private drug insurance, whereas only 10% of our study participants had such insurance, which may limit access to non-HIV medications.

One study conducted in Africa reported proportions of non-HIV medication users [31]. This was a retrospective study conducted in Senegal including 331 PLHIV who initiated ART between 2009 and 2011 and were followed until March 2012. PLHIV in the first year of ART initiation represented 43% of the participants. After a mean duration of 11.4 months on ART, 85% of patients received at least one prescription for a non-ART medication. In this study, the most frequently prescribed non-ART medications were cotrimoxazole (78.9% of patients), iron (33.2%), vitamins (21.1%) and antibiotics (19.6%).

Regarding non-HIV medication findings, in Côte d’Ivoire, before the availability of ART, in a cohort study, Nombela et al. reported 58,776 medications prescribed among 592 PLHIV. The most used classes of medication were the anti-infectious (32.8%) and pain medication (22.9%) classes [32]. In our study, the most common non-HIV medications used by participants were from the nervous system class (26%), as in some studies conducted in high-income countries [42, 47, 48]. However, we observed that the proportion of nervous system class medication users (24%) in our study was lower than the proportions observed in the USA (32%) [44], (52% [48]), Spain (44% [42]) and Canada (58% [47]). This difference could be explained by a greater diversity of therapeutic classes (antidepressants/antipsychotics/anxiolytics/analgesics) used in high-income countries, unlike in our study, where 96% of users of nervous system medications took analgesics. Indeed, accessibility to nervous system classes other than analgesics is limited in low-resource countries [53]. Furthermore, mental health services are only accessible in specialized health facilities.

The proportions of users of medications for the treatment of cardiovascular diseases and diabetes in our study were 5% and 1%, respectively, which are lower than those found in high-income countries (with the percentages of cardiovascular medication users being 43% [47], 26% [42], and 42% [44] and the percentage of diabetes medication users being 11% [44, 48]). This difference could be explained by the fact that diagnosis of non-communicable diseases in low-income countries is not routinely performed during HIV visits and by the low proportion of old PLHIV in our study. Therefore, we hypothesize that in our study, PLHIV with potentially non-communicable diseases may suffer from cardiovascular disease or diabetes, but they are not aware of their condition because they do not have access to diagnostics. The users of sex hormones and modulators of the genital system represented 9% [47] and 19% [44] in the PLHIV populations of high-income countries. In our study, only 0.9% used these drugs.

The use of a prescription medication without a prescription from a health professional was observed in our PLHIV population. Antibiotics and anti-malaria medications were used without prescription by 3.0% and 2.5% of participants, respectively. Individuals using those drugs without a prescription have likely not been exposed to appropriate diagnostic tests. The misuse of antibiotics or malaria medications can increase the risk of resistance to these medications and of drug-drug interactions [47, 54].

Seven factors were associated with the use of non-HIV medications. Some of these factors, such as WHO advanced clinical stage [31] and high level of education and high income [19], are in line with those that have been reported in previous studies. In our study, we observed that PLHIV living in Abidjan had higher incomes and access to non-HIV medications compared with PLHIV from the hinterland HIV clinics.

This study provides insight on the use of non-HIV medication by PLHIV on ART in West Africa. To our knowledge, this is the first study conducted in Africa that describes the extent to which non-HIV medications used were prescribed or not.

Our study has some limitations. First, we could not include patients who did not show up for their HIV follow-up. It is possible that these people were sicker than our participants. Therefore, we may have underestimated the proportion of non-HIV medication users. Second, the use of non-HIV medication was self-reported, which is susceptible to a memory bias. Therefore, the proportion of people using non-prescribed non-HIV medications may have been underestimated. Similarly, PLHIV who forgot their medications or prescriptions at home may have under-reported the use of non-HIV medications. If these medications were not actually medications, the proportion of non-HIV medications would be underestimated. Moreover, answers to questions related to income and health status perception may have suffered from social desirability bias. Next, since our study was conducted in only four regions in Côte d’Ivoire, our results are not generalizable to the entire population of PLHIV on ART in Côte d’Ivoire.

Conclusion

In this study, we observed that approximately 50% of PLHIV on ART for at least one year used a non-HIV medication. More than half of them used non-HIV medications that were not prescribed. The results of this study suggest that healthcare professionals should pay attention to the needs of PLHIV in terms of non-HIV medications, particularly for patients living in Abidjan and those who are not using cotrimoxazole.

Supporting information

S1 Database [docx]
Database_MOTUHS.


Zdroje

1. Ford N, Ball A, Baggaley R, Vitoria M, Low-Beer D, Penazzato M, et al. The WHO public health approach to HIV treatment and care: looking back and looking ahead. The Lancet Infectious diseases. 2017. doi: 10.1016/S1473-3099(17)30482-6 29066132.

2. Who Health Organisation. Global HIV/AIDS response: epidemic update and health sector progress towards universal access: progress report 2011. c2012 [cited 2018 Jan 01]. Available from: http://www.unaids.org/sites/default/files/media_asset/20111130_UA_Report_en_1.pdf.

3. The Joint United Nations Programme on HIV and AIDS. UNAIDS Report on the Global AIDS Epidemic 2010.c2010. [cited 2018 Jan 31]. Available from: http://www.unaids.org/sites/default/files/media_asset/20101123_globalreport_en_1.pdf.

4. Blot M, Piroth L. [HIV infection in France in 2012: Reality, risks and challenges for a chronic multisystem disease]. Rev Mal Respir. 2012;29(6):785–92. S0761-8425(12)00128-3 [pii] doi: 10.1016/j.rmr.2011.10.974 22742465.

5. Harris M, Nosyk B, Harrigan R, Lima VD, Cohen C, Montaner J. Cost-Effectiveness of Antiretroviral Therapy for Multidrug-Resistant HIV: Past, Present, and Future. AIDS research and treatment. 2012;2012:595762. doi: 10.1155/2012/595762 23193464; PubMed Central PMCID: PMC3502757.

6. Peters BS, Conway K. Therapy for HIV: past, present, and future. Adv Dent Res. 2011;23(1):23–7. Epub 2011/03/29. doi: 10.1177/0022034511399082 [pii]. 21441476.

7. Deeks SG, Lewin SR, Havlir DV. The end of AIDS: HIV infection as a chronic disease. Lancet. 2013. Epub 2013/10/25. S0140-6736(13)61809-7 [pii] doi: 10.1016/S0140-6736(13)61809-7 24152939.

8. Who Health Organization. Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection Recommendations for a public health approach. June 2013.2013c [cited 2018 Jan 21]. Available from: http://www.who.int/hiv/pub/guidelines/arv2013/download/en/index.html.

9. Wilson MG, Chambers L, Bacon J, Rueda S, Ragan M3, Rourke SB. issues of comorbidity in HIV/AIDS: an overview of systematic reviews. Ontario HIV Treatment Network. 2010. 2010c. [cited 2018 Jan 25]. Available from: http://www.a-id.it/pdf/issues-of-comorbidity-in-hiv-aids-an-overview-of-systematic-reviews-roundtable-draft.pdf.

10. Baker JV, Peng G, Rapkin J, Abrams DI, Silverberg MJ, MacArthur RD, et al. CD4+ count and risk of non-AIDS diseases following initial treatment for HIV infection. Aids. 2008;22(7):841–8. doi: 10.1097/QAD.0b013e3282f7cb76 [pii]. 18427202.

11. Deeks SG, Phillips AN. HIV infection, antiretroviral treatment, ageing, and non-AIDS related morbidity. BMJ. 2009;338:a3172. doi: 10.1136/bmj.a3172 [pii]. 19171560.

12. Palella FJ Jr., Baker RK, Moorman AC, Chmiel JS, Wood KC, Brooks JT, et al. Mortality in the highly active antiretroviral therapy era: changing causes of death and disease in the HIV outpatient study. Journal of acquired immune deficiency syndromes. 2006;43(1):27–34. doi: 10.1097/01.qai.0000233310.90484.16 16878047.

13. Lamas CC, Coelho LE, Grinsztejn BJ, Veloso VG. Community-acquired lower respiratory tract infections in HIV-infected patients on antiretroviral therapy: predictors in a contemporary cohort study. Infection. 2017. doi: 10.1007/s15010-017-1041-0 28660356.

14. Eholie SP, Ello FN, Coffie PA, Hema A, Minta DK, Sawadogo A. Effect of cotrimoxazole prophylaxis on malaria occurrence among HIV-infected adults in West Africa: the MALHIV Study. Trop Med Int Health. 2017. doi: 10.1111/tmi.12919 28653454.

15. World Health O, Unaids. Provisional WHO/UNAIDS recommendations on the use of contrimoxazole prophylaxis in adults and children living with HIV/AIDS in Africa. Afr Health Sci. 2001;1(1):30–1. 12833907; PubMed Central PMCID: PMCPMC2704444.

16. Lawn SD, Harries AD, Anglaret X, Myer L, Wood R. Early mortality among adults accessing antiretroviral treatment programmes in sub-Saharan Africa. Aids. 2008;22(15):1897–908. doi: 10.1097/QAD.0b013e32830007cd 18784453; PubMed Central PMCID: PMCPMC3816249.

17. Eholie SP, Tanon KA, Folquet-Amorissani M, Ouattara I, Aba YT, Traore-Ettiegne V, et al. [Impact of access to antiretroviral therapy in Cote d'Ivoire]. Med Trop (Mars). 2009; 69(5):520–4. 20025190.

18. Programme national de prise en charge médicale des personnes vivant avec l'infection. Rapport annuel d’activités 2011 du programme national de prise en charge médicale des personnes vivant avec l'infection du ministère de la santé et de la lutte contre le sida. c2011. [updated 2012 Nov 25; cited 2018 Jan 21]. Available from: http://www.pnpec.ci/doc/Rapport%20Annuel%20PNPEC%202011.pdf.

19. Beauliere A, Toure S, Alexandre PK, Kone K, Pouhe A, Kouadio B, et al. The financial burden of morbidity in HIV-infected adults on antiretroviral therapy in Cote d'Ivoire. PloS one. 2010;5(6):e11213. doi: 10.1371/journal.pone.0011213 20585454; PubMed Central PMCID: PMCPMC2887850.

20. Angwenyi V, Aantjes C, Kajumi M, De Man J, Criel B, Bunders-Aelen J. Patients experiences of self-management and strategies for dealing with chronic conditions in rural Malawi. PloS one. 2018;13(7):e0199977. doi: 10.1371/journal.pone.0199977 29965990; PubMed Central PMCID: PMCPMC6028088.

21. Seden K, Khoo SH, Back D, Byakika-Kibwika P, Lamorde M, Ryan M, et al. Global patient safety and antiretroviral drug-drug interactions in the resource-limited setting. J Antimicrob Chemother. 2013;68(1):1–3. doi: 10.1093/jac/dks346 [pii]. 22915459.

22. Ajuoga E, Sansgiry SS, Ngo C, Yeh RF. Use/misuse of over-the-counter medications and associated adverse drug events among HIV-infected patients. Research in social & administrative pharmacy: RSAP. 2008;4(3):292–301. doi: 10.1016/j.sapharm.2007.08.001 18794039.

23. Kamekis A, Bertsias A, Moschandreas J, Petelos E, Papadakaki M, Tsiantou V, et al. Patients' intention to consume prescribed and non-prescribed medicines: A study based on the theory of planned behaviour in selected European countries. J Clin Pharm Ther. 2018;43(1):26–35. doi: 10.1111/jcpt.12601 28833330.

24. Aziz MM, Masood I, Yousaf M, Saleem H, Ye D, Fang Y. Pattern of medication selling and self-medication practices: A study from Punjab, Pakistan. PloS one. 2018;13(3):e0194240. doi: 10.1371/journal.pone.0194240 29566014; PubMed Central PMCID: PMCPMC5863987.

25. Moshabela M, Schneider H, Silal SP, Cleary SM. Factors associated with patterns of plural healthcare utilization among patients taking antiretroviral therapy in rural and urban South Africa: a cross-sectional study. BMC Health Serv Res. 2012;12:182. doi: 10.1186/1472-6963-12-182 22747971; PubMed Central PMCID: PMCPMC3465179.

26. Peltzer K, Preez NF, Ramlagan S, Fomundam H. Use of traditional complementary and alternative medicine for HIV patients in KwaZulu-Natal, South Africa. BMC Public Health. 2008;8:255. doi: 10.1186/1471-2458-8-255 1471-2458-8-255 [pii]. 18652666; PubMed Central PMCID: PMC2503977.

27. Ranzani A, Oreni L, Agro M, van den Bogaart L, Milazzo L, Giacomelli A, et al. Burden of Exposure to Potential Interactions Between Antiretroviral and Non-Antiretroviral Medications in a Population of HIV-Positive Patients Aged 50 Years or Older. Journal of acquired immune deficiency syndromes. 2018;78(2):193–201. doi: 10.1097/QAI.0000000000001653 29767640.

28. Radtke KK, Bacchetti P, Anastos K, Merenstein D, Crystal H, Karim R, et al. Use of Nonantiretroviral Medications That May Impact Neurocognition: Patterns and Predictors in a Large, Long-Term HIV Cohort Study. Journal of acquired immune deficiency syndromes. 2018;78(2):202–8. doi: 10.1097/QAI.0000000000001658 29762344; PubMed Central PMCID: PMCPMC5962283.

29. Ruiz ME. Risks of self-medication practices. Current drug safety. 2010;5(4):315–23. 20615179.

30. Schmidt CO, Kohlmann T. When to use the odds ratio or the relative risk? Int J Public Health. 2008;53(3):165–7. 19127890.

31. Diouf A, Youbong TJ, Maynart M, Ndoye M, Dieye FL, Ndiaye NA, et al. [Non-antiretroviral drugs uses among HIV-infected persons receiving antiretroviral therapy in Senegal: Costs and factors associated with prescription]. Rev Epidemiol Sante Publique. 2017; 65(4):295–300. doi: 10.1016/j.respe.2017.02.001 28502580.

32. Nombela N, Kouadio B, Toure S, Seyler C, Flori YA, Anglaret X. Nonantiretroviral drug consumption by CD4 cell count in HIV-infected adults: a 5-year cohort study in Cote d'Ivoire. Journal of acquired immune deficiency syndromes. 2006;41(2):225–31. doi: 00126334-200602010-00015 [pii]. 16394856.

33. Sander LD, Newell K, Ssebbowa P, Serwadda D, Quinn TC, Gray RH, et al. Hypertension, cardiovascular risk factors and antihypertensive medication utilisation among HIV-infected individuals in Rakai, Uganda. Trop Med Int Health. 2015;20(3):391–6. doi: 10.1111/tmi.12443 25430847; PubMed Central PMCID: PMCPMC4308448.

34. Peltzer K, Friend-du Preez N, Ramlagan S, Fomundam H, Anderson J. Traditional complementary and alternative medicine and antiretroviral treatment adherence among HIV patients in Kwazulu-Natal, South Africa. Afr J Tradit Complement Altern Med. 2009;7(2):125–37. 21304624; PubMed Central PMCID: PMCPMC3021154.

35. Justice AC. HIV and aging: time for a new paradigm. Curr HIV/AIDS Rep. 2010;7(2):69–76. doi: 10.1007/s11904-010-0041-9 20425560.

36. Work Group for HIV, Aging Consensus P. Summary report from the Human Immunodeficiency Virus and Aging Consensus Project: treatment strategies for clinicians managing older individuals with the human immunodeficiency virus. J Am Geriatr Soc. 2012;60(5):974–9. doi: 10.1111/j.1532-5415.2012.03948.x 22568508.

37. OMS. Global update on HIV treatment 2013: results, impact and opportunities. 2013. [cited 2018 Jan 21]. Available from: http://apps.who.int/iris/bitstream/10665/85326/1/9789241505734_eng.pdf.

38. OMS. Lignes directrices combinées sur l’utilisation des antirétroviraux pour le traitement et la prévention de l’infection à VIH: résumé des principales caractéristiques et recommandations Juin 2013 2013. [cited 2018 Jan 21]. Available from: http://apps.who.int/iris/bitstream/10665/85324/1/WHO_HIV_2013.7_fre.pdf.

39. OMS. Stratégie de l’OMS pour la Médecine Traditionnelle pour 2002–2005. 2002. [cited 2019 March 21]. Available from: http://apps.who.int/medicinedocs/pdf/s2298f/s2298f.pdf.

40. Tayebati SK, Nittari G, Mahdi SS, Ioannidis N, Sibilio F, Amenta F. Identification of World Health Organisation ship's medicine chest contents by Anatomical Therapeutic Chemical (ATC) classification codes. Int Marit Health. 2017;68(1):39–45. doi: 10.5603/IMH.2017.0007 28357835.

41. Furler MD, Einarson TR, Walmsley S, Millson M, Bendayan R. Use of complementary and alternative medicine by HIV-infected outpatients in Ontario, Canada. AIDS Patient Care STDS. 2003;17(4):155–68. doi: 10.1089/108729103321619764 12737639.

42. Gimeno-Gracia M, Crusells-Canales MJ, Javier Armesto-Gomez F, Rabanaque-Hernandez MJ. Prevalence of concomitant medications in older HIV+ patients and comparison with general population. HIV clinical trials. 2015;16(3):117–24. doi: 10.1179/1528433614Z.0000000012 25978302.

43. Holtzman C, Armon C, Tedaldi E, Chmiel JS, Buchacz K, Wood K, et al. Polypharmacy and Risk of Antiretroviral Drug Interactions Among the Aging HIV-Infected Population. J Gen Intern Med. 2013. doi: 10.1007/s11606-013-2449-6 23605401.

44. Justice AC, Gordon KS, Skanderson M, Edelman EJ, Akgun KM, Gibert CL, et al. Nonantiretroviral polypharmacy and adverse health outcomes among HIV-infected and uninfected individuals. Aids. 2018;32(6):739–49. doi: 10.1097/QAD.0000000000001756 29543653; PubMed Central PMCID: PMCPMC5868488.

45. Krentz HB, Cosman I, Lee K, Ming JM, Gill MJ. Pill burden in HIV infection: 20 years of experience. Antivir Ther. 2012;17(5):833–40. doi: 10.3851/IMP2076 22358155.

46. Marzolini C, Elzi L, Gibbons S, Weber R, Fux C, Furrer H, et al. Prevalence of comedications and effect of potential drug-drug interactions in the Swiss HIV Cohort Study. Antivir Ther. 2010;15(3):413–23. doi: 10.3851/IMP1540 20516560.

47. Tseng A, Szadkowski L, Walmsley S, Salit I, Raboud J. Association of age with polypharmacy and risk of drug interactions with antiretroviral medications in HIV-positive patients. Ann Pharmacother. 2013;47(11):1429–39. doi: 10.1177/1060028013504075 24285760.

48. Zhou S, Martin K, Corbett A, Napravnik S, Eron J, Zhu Y, et al. Total daily pill burden in HIV-infected patients in the southern United States. AIDS Patient Care STDS. 2014;28(6):311–7. doi: 10.1089/apc.2014.0010 24901464; PubMed Central PMCID: PMCPMC4180528.

49. Furler MD, Einarson TR, Walmsley S, Millson M, Bendayan R. Polypharmacy in HIV: impact of data source and gender on reported drug utilization. AIDS Patient Care STDS. 2004;18(10):568–86. doi: 10.1089/apc.2004.18.568 15630785.

50. Marzolini C, Back D, Weber R, Furrer H, Cavassini M, Calmy A, et al. Ageing with HIV: medication use and risk for potential drug-drug interactions. J Antimicrob Chemother. 2011;66(9):2107–11. dkr248 [pii] doi: 10.1093/jac/dkr248 21680580.

51. Brown TT, Guaraldi G. Multimorbidity and Burden of Disease. Interdiscip Top Gerontol Geriatr. 2017;42:59–73. doi: 10.1159/000448544 27875824.

52. Harris TG, Rabkin M, El-Sadr WM. Achieving the fourth 90: healthy aging for people living with HIV. Aids. 2018;32(12):1563–9. doi: 10.1097/QAD.0000000000001870 29762172.

53. Adams JL, Almond ML, Ringo EJ, Shangali WH, Sikkema KJ. Feasibility of nurse-led antidepressant medication management of depression in an HIV clinic in Tanzania. Int J Psychiatry Med. 2012;43(2):105–17. doi: 10.2190/PM.43.2.a 22849034; PubMed Central PMCID: PMCPMC3731063.

54. Tadesse BT, Ashley EA, Ongarello S, Havumaki J, Wijegoonewardena M, Gonzalez IJ, et al. Antimicrobial resistance in Africa: a systematic review. BMC infectious diseases. 2017;17(1):616. doi: 10.1186/s12879-017-2713-1 28893183; PubMed Central PMCID: PMCPMC5594539.


Článek vyšel v časopise

PLOS One


2019 Číslo 9

Nejčtenější v tomto čísle

Tomuto tématu se dále věnují…


Kurzy

Zvyšte si kvalifikaci online z pohodlí domova

Léčba bolesti v ordinaci praktického lékaře
nový kurz
Autoři: MUDr. PhDr. Zdeňka Nováková, Ph.D.

Revmatoidní artritida: včas a k cíli
Autoři: MUDr. Heřman Mann

Jistoty a nástrahy antikoagulační léčby aneb kardiolog - neurolog - farmakolog - nefrolog - právník diskutují
Autoři: doc. MUDr. Štěpán Havránek, Ph.D., prof. MUDr. Roman Herzig, Ph.D., doc. MUDr. Karel Urbánek, Ph.D., prim. MUDr. Jan Vachek, MUDr. et Mgr. Jolana Těšínová, Ph.D.

Léčba akutní pooperační bolesti
Autoři: doc. MUDr. Jiří Málek, CSc.

Nové antipsychotikum kariprazin v léčbě schizofrenie
Autoři: prof. MUDr. Cyril Höschl, DrSc., FRCPsych.

Všechny kurzy
Kurzy