Adherence to antiretroviral therapy (ART) during the early months of treatment in rural Zambia: influence of demographic characteristics and social surroundings of patients
© Sasaki et al.; licensee BioMed Central Ltd. 2012
Received: 8 December 2012
Accepted: 16 December 2012
Published: 28 December 2012
Around 70% of those living with HIV in need of treatment accessed antiretroviral therapy (ART) in Zambia by 2009. However, sustaining high levels of adherence to ART is a challenge. This study aimed to identify the predictive factors associated with ART adherence during the early months of treatment in rural Zambia.
This is a field based observational longitudinal study in Mumbwa district, which is located 150 km west of Lusaka, the capital of Zambia. Treatment naive patients aged over 15 years, who initiated treatment during September-November 2010, were enrolled. Patients were interviewed at the initiation and six weeks later. The treatment adherence was measured according to self-reporting by the patients. Multiple logistic regression analysis was performed to identify the predictive factors associated with the adherence.
Of 157 patients, 59.9% were fully adherent to the treatment six weeks after starting ART. According to the multivariable analysis, full adherence was associated with being female [Adjusted Odds Ratio (AOR), 3.3; 95% Confidence interval (CI), 1.2-8.9], having a spouse who were also on ART (AOR, 4.4; 95% CI, 1.5-13.1), and experience of food insufficiency in the previous 30 days (AOR, 5.0; 95% CI, 1.8-13.8). Some of the most common reasons for missed doses were long distance to health facilities (n = 21, 53.8%), food insufficiency (n = 20, 51.3%), and being busy with other activities such as work (n = 15, 38.5%).
The treatment adherence continues to be a significant challenge in rural Zambia. Social supports from spouses and people on ART could facilitate their treatment adherence. This is likely to require attention by ART services in the future, focusing on different social influences on male and female in rural Zambia. In addition, poverty reduction strategies may help to reinforce adherence to ART and could mitigate the influence of HIV infection for poor patients and those who fall into poverty after starting ART.
Sub-Saharan Africa contains nearly 70% of the world’s HIV infections. In 2009, the average number of people living with HIV (PLWH) reached 22.5 million [1–3]. Zambia is one of the most severely affected countries in the region. Since Zambia’s first reported AIDS diagnosis in 1984, the proportion of PLWH has rapidly increased, peaking in the mid-1990s at about 16% and reaching as high as 25% in some urban areas [4, 5]. The Zambia HIV epidemic has moderately stabilized over the last 15 years with a very modest decline after the initial peak in prevalence . Although the rate of new HIV infections has decreased, the total number of PLWH continues to rise. An estimated average of 980,000 (890,000–1,100,000) people in a population of 12.9 million have been infected with HIV in Zambia [6, 7]. Adults aged 15–49 had an HIV prevalence of 13.5% in 2009, which was the 6th highest in Sub-Saharan countries .
The National HIV/AIDS/STD/TB Council (NAC) in Zambia became operational in 2002. One of its key priorities is the provision of care, treatment and support to PLWH . In 2004, the Ministry of Health (MoH) in Zambia offered antiretroviral therapy (ART) at four clinics in Lusaka, the capital of Zambia. The government declared that the entire ART service package would be provided free of charge in the public sector, with a goal of universal access to HIV care and treatment .
As more than half of the population lives in rural areas where there is poor access to health services , the MoH aimed to develop approaches to expand services by strengthening the existing public health care system and expressed its intention to expand HIV testing and treatment facilities to all districts and as close to households as possible . With this effort, 283,863 (68%) people out of an estimated total population of 416,533 who were in need of ART received it at 447 health facility sites throughout the country by 2009, and the number of sites is being expanded further . While achievements have been remarkable, the universal coverage and retaining the patients on ART remain as challenges. Studies showed that 59.5% of patients in Zambia’s southern province throughout a period of 15–723 days (a median follow-up of 275 days) and 62.9% of patients in Lusaka over the first 12 months (a median follow-up of 15.7 months from 12 months onwards) were adherent to ART[11, 12].
Some reports also have revealed the factors associated with adherence in both urban and rural settings [8, 12–18]. The common reasons raised by patients on ART for poor adherence in several qualitative studies included demographic and physical health factors (e.g. insufficient food and side effects) as well as interpersonal factors (e.g. lack of support) [15, 16, 18]. Other barriers were patients’ mental health factors (e.g. fear of stigma/disclosure and presence of depression/ hopelessness) [16, 18].
Such qualitative studies in Zambia generate information from the respondent’s perspective that may facilitate culturally appropriate and effective interventions. However, few quantitative studies have investigated associations between the treatment adherence and factors identified in these qualitative studies. In addition, there is a paucity of studies which have investigated factors related to the treatment adherence during the early months of treatment. Since most complications including deaths occur within early period of treatment , optimizing adherence during this stage is important for ensuring long-term immunological and virological treatment success [19, 20].
Thus, the objective of this study was to identify predictive factors associated with ART adherence during the early months of treatment in rural Zambia so as to propose possible interventions for future treatment strategies in this region.
Study design and study site
A field based observational longitudinal study was conducted in Mumbwa district, which is located 150 km west of Lusaka. There were one district hospital and 27 rural health centers in Mumbwa during the study period. Among the health facilities, ART services were available at the district hospital, and at eight rural health centers.
Structured questionnaires for both baseline and follow-up interviews were developed, following the generic tools developed by World Health Organization (WHO)  and the AIDS clinical trial group (ACTG) adherence follow-up questionnaires . The questionnaires were first developed in English. After being translated into Nyanja (dominant regional language), these were back-translated to English to ensure its clarity and consistency. The questionnaires covered respondents’ sociodemographic characteristics, ART adherence, disclosure status, physical and mental health related characteristics. WHO HIV/AIDS stage , weight, CD4 cell count, and Tuberculosis (TB) status were extracted from individual medical records.
In this study, full adherence to ART was defined as when a patient had never skipped prescribed drugs and had followed time restrictions during the previous four days before the interview. Scores for internalized AIDS-related stigma and cognitive/affective depression were measured using scales developed and validated by Kalichman . To simplify the administration, the items were responded to dichotomously, 1=agree and 0=disagree; and scale scores represent the sum total of endorsed stigma items, range 0–6. The cognitive/affective depression subscale is an 11-item measure that assesses symptoms of depression over the previous seven days, 0=no days, 1=1-2 days, 2=3-4 days, and 3= 5–7 days. The median of each scale score was used as the cutoff point between patients who had self-stigma or depressive symptoms and who did not.
Food insufficiency was measured by using one closed-ended question following the Sociodemographic Module of the Client Instrument developed by WHO as a generic tool for operational research on HIV testing, treatment and prevention . Patients were asked to recall the frequency with which there was not enough food in the month prior to interview: never, sometimes, often, or almost always. A similar single question assessment of food insufficiency has been validated in previous studies [25, 26].
Before the commencement of the study, a three-day training course on research protocols, administration of questionnaires, and ethics was conducted for eight interviewers. Then field surveys were carried out from September 2010 to March 2011.
Data obtained from the questionnaire surveys were analyzed with SPSS version 19 statistical software. Baseline characteristics of participants were compared between patients who were adherent to ART six weeks after starting the treatment and those who were not, using Pearson’s chi-square test and Fisher’s exact test. Multiple logistic regression analysis was performed to identify the predictive factors associated with ART adherence. The variables of which the associated p value level was less than 0.1 were entered into the multiple logistic regression model. If the variable was highly correlated with the other variable, one of them was removed from the model. An adjusted odds ratio (AOR) was calculated for the levels of the other factors included in the model.
This study was approved by the Research Ethics Committee of the University of Tokyo, the Biomedical Research Ethics Committee of the University of Zambia, and the Institutional Ethics Committee of the National Center for Global Health and Medicine (NCGM). Written informed consent was obtained from respondents at the beginning of the interview, after the study was explained to them. They were informed that participation in the study was voluntary.
Description of study sample
Characteristics of patients who were excluded compared with those included in the study
Mumbwa District Hospital
Rural Health Centers
<35 years old
≥35 years old
No or primary incomplete
Primary complete or more
Time required for transportation to health facilities by above method
Within one hour
More than one hour
More than zero
Lack of food during the past 30 days
Ambulant or bed lid
Negative or not sure
Self-stigma at baseline
Yes (Score: 2-6)
No (Score: 0-1)
Depressive symptoms at baseline
Yes (Score: 13-33)
No (Score: 0-12)
Demographic characteristics of patients on ART
Sociodemographic, physical mental health characteristics of patients who were adherent and non-adherent to ART
Not full adherence
Mumbwa District Hospital
Rural Health Centers
<35 years old
≥35 years old
No or primary incomplete
Primary complete or more
Time required for transportation to health facilities by above method
Within one hour
More than one hour
More than zero
Lack of food during the past 30 days
Knowing HIV status
Within 30 days
More than 30 days
Ambulant or bed lid
Negative or not sure
Interpersonal characteristics of patients who were adherent and non-adherent to ART
Not full adherence
Disclose to First wife/husband if married
First additional sexual partner
People in community know my HIV status even though I did not tell them
No or unsure
First wife/husband’s HIV status if married (including divorced, separated, widow/widower)
Negative or unsure
First wife/husband is (was) on ART (including divorced, separated, widow/widower)
No or unsure
First additional sexual partner’s HIV status
Negative or unsure
First additional sexual partner is on ART
No or unsure
Status of ART adherence
Among 157 patients on ART who were included in this study, 94 (59.9%) were fully adherent and 63 (40.1%) were non-adherent to their treatment six weeks after starting ART.
Factors associated with full ART adherence
Bivariate analysis indicated that being female (p = 0.010), disclosure to spouses (p = 0.048), and experiences of food insufficiency in the previous 30 days (p < 0.001) were positively associated with adherence to ART, but being farmers (p = 0.038) were negatively associated (Tables 2 & 3). Additionally, the proportion of patients who were adherent to ART was likely to be higher among patients whose spouse was also receiving ART than patients whose spouse was not, although this was not statistically significant (p = 0.062) (Table 3).
Multiple logistic regression analysis of factors affecting adherence to ART (n=96)
Experience of food insufficiency in the previous 30 days
Disclose HIV status to spouse
Spouse on ART
Reasons for missed doses
Reasons for missed doses (multiple answers) (n=39)
Long distance to health facilities
Not enough food
Were busy with other things like work etc.
Felt depressed, overwhelmed, hopelessness
Felt sick or ill
Ran out of pills
Felt asleep or slept through dose tine
Had a change in daily routine
Had problem taking pills at specific times with meals
Sold out the pills
Status of ART adherence in the Mumbwa district
Based on a self-report, 59.9% were considered to be fully adherent to ART six weeks after starting the treatment. The adherence was lower than that found in studies conducted in other countries in Sub-Saharan Africa, which have shown a full medication adherence of 76% . Although a simple comparison is not accurate because of large variation between the surveys, the difference could be explained as follows.
First, it could be related to the different approach for measuring ART adherence. As long-term viral suppression requires consistent and high level dose adherence accompanied by optimal inter-dose intervals , adherence to dose as well as adherence to schedule was considered in this study. Those who never skipped prescribed drugs and followed time restrictions during the previous four days were considered to be fully adherent. In contrast, most other studies that have measured ART adherence using patient self-reporting have only looked at adherence to dose instructions .
Second, possible difference in access to treatment among patients who were in need for ART in Zambia and other countries in Sub-Saharan Africa could also have influenced the result. Nearly 70% of those in need for treatment have accessed it in Zambia in both urban and rural areas. On the other hand, studies in other African countries were conducted mostly in urban areas  where patients have relatively easy access to health facilities. It could be expected that relatively high levels of adherence in other studies may decline as treatment access expands to rural area where people have poor access to the health facility.
Factors related to full adherence to ART
In a multivariate analysis, gender remained a significant factor after adjusting for potential confounding variables. In a study in rural Uganda, female patients had a significantly higher CD4 cell count at the initiation of ART and lower mortality six months later than male patients, as female patients had more opportunities to access care and start treatment at less advanced stages of HIV, potentially through their participation in prevention of mother-to-child transmission (PMTCT) programs . In Zambia, PMTCT initiative was launched in 1999 and expanded such that an estimated 69% of pregnant women living with HIV had received antiretroviral (ARV) drugs for PMTCT by the end of 2009 . As the case of Uganda, national PMTCT services in Zambia may have contributed to earlier access to ART and supported better ART adherence for a larger group of HIV-positive female, since early ART results in less AIDS progression and death with no increase in adverse events or loss of virologic response compared to deferred ART .
Although not determined in this study, sex differences in treatment response and side effects could also have contributed to the outcomes observed in this study. Another study showed that female patients had better responses to treatment compared with that of male patients, and side effects related to ARV drugs were more frequently observed in male patients than in female patients .
Additionally, female patients may have had greater motivation to adhere to ART as suggested by other study that female patients caring for children emphasize their role as primary care to children and their children are known to be a facilitating factor in adherence among them .
However, other studies have also shown that HIV-positive females often experience gender-related barriers to accessing health services, thus affecting ART adherence [34, 35]. For example, many females have to obtain permission from a male spouse or a relative to seek HIV care, which is difficult when females have to ask for money and take time away from household chores. In addition, where costs for treatment are involved, families may prioritize paying for male’s treatment . Gender-based violence has also affected female’s access and ART adherence . Although these barriers were not found in this study, the issue demands further exploration, particularly given the different social influences on male and female .
Regarding HIV disclosures, over 80% disclosed their status to their spouse. This was positively associated with treatment adherence in bivariate analysis, although it was not seen in the final analysis. The spousal disclosure rate was relatively higher in this study than in a study conducted in another part of rural Zambia in 2005–2006 . The higher rate of disclosure in this study may be attributed to the establishment of peer counselors or treatment supporters during the past few years in Zambia, which encourages disclosure and treatment adherence in the district hospital and rural health centers. However, disclosure could still have both positive and negative consequences. Disclosure has the potential to yield much-needed social support. Alternatively, it may also lead to stigmatization, discrimination, abandonment or gender-based violence mentioned above after disclosing their HIV status to their spouse or partners. Strategies are needed to take account of HIV positive patients who want to disclose HIV status safely to their surroundings.
Having a treatment partner such as a spouse, family member, friends or peer counselor is known to be positively associated with ART adherence . In this study, having a spouse who is also on ART was found to be positively associated with ART adherence. Spouses on ART might play a role as a treatment partner more readily than spouses not on ART because they have a better understanding of treatment adherence for their partners and themselves. While it could not be determined from the results whether spouses were supportive, ART programs should consider the potential benefit of treatment support provided by persons close to patients, especially from those on ART.
A number of qualitative studies have reported that food insufficiency is an important barrier to ART adherence [15, 16, 39, 40]. In urban Peru, Franke et al.  found that individuals who reported food insufficiency in the month prior to interview were more likely to experience suboptimal adherence than those who did not. In three rural ART clinics located in another part of rural Zambia, patients who had skipped a meal because of a lack of food in the past week were more likely to have poor adherence .
However, on the contrary, this study found that the experience of food insufficiency in the previous 30 days from the baseline interview date was positively associated with treatment adherence. This may be explained by enhanced social support targeting people living in such extreme poverty that they cannot afford to buy food described as below. A pilot study in Zambia found that individuals with food insufficiency who received nutritional support demonstrated significantly better ART adherence compared with a group who did not receive this support . The World Food Program (WFP) has been implementing a program in Zambia since 1967 and is committed to providing food assistance to approximately 2.3 million people in Zambia in 2011 . Patients who were extremely poor and suffered from insufficient food at the initiation of ART might more easily receive such assistance compared with patients who were not so poor that they ever experienced food insufficiency at the time, although it is difficult to rely only on such explanation to account for everything since some donors have suspended their assistance in Mumbwa.
On the other hand, one of the most cited reasons for missing doses by this study population was also ‘food insufficiency’, and the experience of food insufficiency in the previous 30 days from the follow-up interview date was also associated with poor treatment adherence by bivariate analysis (data not shown). This paradoxical finding could be understood by considering the timing of the interviews. The question about reasons for missing doses was asked six weeks after starting ART, while the positive association was found between treatment adherence and the experience of food insufficiency in the previous 30 days from the baseline interview date. Therefore, patients who experienced food insufficiency in the 30 days previous to ART initiation might have received food supplementation or counseling afterwards, which might have supported their adherence positively as mentioned above. However, patients who were not so poor thus they could not receive food assistance at the initiation of ART might have needed financial assistance after starting the treatment because of transportation fee and loosing wages due to long waiting times for a clinic visit. They might eventually have fallen into poverty and food insecurity after starting ART, and could not adhere to treatment, even if the ART services are provided free of charge in Zambia.
Moreover, some patients may have been taught and believed that ARV drugs always need to be taken with food and some might have missed the medication as they missed their meal due to the food insufficiency. Thus, individuals who missed ARV drugs might consider food insufficiency the reason. However, more studies are needed to better understand the association between ART adherence and food issues, because a single question was used to assess food insufficiency in this study, which is only one aspect of the issues.
In addition to ‘food insufficiency’, the frequently cited reasons for missing doses in this study were ‘long distance to health facilities’ and ‘being busy with other things like work’. This observation is consistent with findings in other studies [16, 18, 27, 39, 43–54].
Although time required for transportation to the health facilities and transportation fees were not significantly associated with treatment adherence, accessing to treatment facilities can be a problem for many patients living in Mumbwa. This is supported by the result that it took over one hour to reach health facilities in half of patients on ART in this study. Because of this long distance to access to health facilities in Mumbwa, patients who missed doses might report that the distance from home to the district hospital or rural health centers caused the disruption in ART adherence.
In addition, patients whose occupation was agriculture were more likely to have poor adherence. It is possible that patients who worked in agriculture had difficulty coming for health facilities because of their work’s seasonal nature. This is probably supported by our finding that ‘being busy with other things like work’ was the major reason for missing doses.
To enhance understanding of self-stigma and depressive symptoms among patients on ART in Zambia, the associations between these psychological factors and treatment adherence were assessed. Although these factors have been identified as factors associated with poor adherence in multiple studies, no associations were found in this study. The limited numbers of subjects with poor adherence may have prevented the identification of potential associations. More work is needed to investigate patients’ self-stigma and depressive symptoms with having to adhere to lifelong regimens.
This study has several limitations. First, assessment of treatment adherence based on a self-report may be subject to recall and social desirability bias that may result in under-reporting of missed pill intakes. Thus, an over-estimation of adherence is possible. However, there is evidence that a simple self-report adherence questionnaire provides a sensitive measure of non-adherence that predicts viral rebound and is almost always reliable [55–57]. It is also an inexpensive and quick method to use in a field research and resource poor setting.
Second, we could only include those individuals who initiated ART at the target health facilities, and returned six weeks later. Hence, we may also have slightly over-estimated the actual adherence levels of this population, and our sample may not be enough to detect significant associations between patients who were adherent to ART six weeks after starting the treatment and who were not. However, this influence is likely to be limited because there were no significant differences in basic sociodemographic or health characteristics between patients who were included or excluded in this study except for the required time to access health facilities (Table 1).
Third, in relation to recent changes in Zambia, this study was conducted in a rural area where ART services have been initiated. Therefore, it is difficult to generalize the study findings to the population in areas where ART services are not yet available, although there were no differences in patients’ characteristics between those who visited the district hospital and rural health centers.
This study investigated patients’ adherence to ART over a short period of time, because the initial response to ART has long-term prognostic significance, and optimizing adherence in the early months is important for ensuring long-term immunological and virological success [19, 20]. However, long-term analyses are clearly needed to fully assess factors related to treatment adherence and to allow some generalizability of the results.
In addition, one of the most cited reasons for missing doses was long distance to health facilities, and only difference in basic sociodemographic or health characteristics between patients who were included and excluded in this study was required time to access health facilities. It is therefore necessary to examine the association between travel-related variables and adherence to ART in detail in future research, although they did not predict the adherence in another study in rural Zambia .
Finally, recent changes such as the adoption of free access to ART in Zambia may have some implications for the study results. While it is expected that this policy will reduce financial constraints, the high level of other health expenditures still experienced by patients suggests that the detrimental influence of out-of-pocket payments will certainly not be fully eliminated. Further studies are needed to assess and examine this policy for treatment adherence and its interruptions over longer time scales.
Conclusions and recommendations
Social supports from spouses and people on ART could facilitate their adherence to ART. This is likely to require attention by ART services in the future, focusing on different social influences on male and female in rural Zambia. In addition, poverty reduction strategies could help to reinforce adherence to ART and mitigate the influence of HIV infection for poor patients and those who fall into poverty after starting ART.
We would like to thank all the participants of this study for their participation. We would also like to express my sincere appreciation to Professor. Masamine Jimba, Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Professor. Satoshi Sasaki, Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Professor. Katsushi Tokunaga, Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Professor. Kyoji Moriya, Department of Infection Control and Prevention, The University of Tokyo Hospital, and Ms. Kaori Muto, Department of Public Policy, The Institute of Medical Science, The University of Tokyo for their valuable comments and technical advice.
This study was part of an operational research conducted by ‘Project for Scaling up of Quality HIV/AIDS Care Service Management (SHIMA Project)’, Japan International Cooperation Agency, and partly funded by Research Grant for International Health, H23-4, by the Ministry of Health, Labor and Welfare, Japan (http://www.ncgm.go.jp/kaihatsu/).
- Isaakidis P, Raguenaud ME, Te V, Tray CS, Akao K, Kumar V: High survival and treatment success sustained after two and three years of first-line ART for children in Cambodia. J Int AIDS Soc. 2010, 13: 11- 10.1186/1758-2652-13-11View ArticlePubMedPubMed CentralGoogle Scholar
- UNAIDS/WHO. UNAIDS Report on the Global AIDS Epidemic 2010. 2012, http://www.unaids.org/documents/20101123_GlobalReport_em.pdf., Google Scholar
- WHO: Summary Country Profile for HIV/AIDS Treatment Scale-up. 2012, http://www.who.int/hiv/HIVCP_ZMB.pdf., Google Scholar
- Fylkesnes K, Ndhlovu Z, Kasumba K, Mubanga Musonda R, Sichone M: Studying dynamics of the HIV epidemic: population-based data compared with sentinel surveillance in Zambia. AIDS. 1998, 12 (10): 1227-1234. 10.1097/00002030-199810000-00015View ArticlePubMedGoogle Scholar
- UNAIDS/WHO: AIDS Epidemic Update 2009. 2012, http://data.unaids.org/pub/report/2009/jc1700_epi_update_2009_en.pdf., Google Scholar
- Ministry of Health, Zambia. Zambia Country Report. 2012, http://www.unaids.org/en/dataanalysis/knowyourresponse/countryprogressreports/2010countries/zambia_2010_country_progress_report_en.pdf., Google Scholar
- UNAIDS: Zambia Epidemiological Fact Sheet on HIV and AIDS, 2009. 2012, http://www.unaids.org/en/Regionscountries/Countries/Zambia/., Google Scholar
- Stringer JS, Zulu I, Levy J, Stringer EM, Mwango A, Chi BH: Rapid scale-up of antiretroviral therapy at primary care sites in Zambia: feasibility and early outcomes. JAMA. 2006, 296 (7): 782-793. 10.1001/jama.296.7.782View ArticlePubMedGoogle Scholar
- Ministry of Health, Zambia. Zambia Demographic and Health Survey 2007. 2012, http://data.unaids.org/pub/Report/2008/zambia_2008_country_progress_report_en.pdf., Google Scholar
- Ministry of Finance and National Planning: Fifth National Development Plan for 2006-2011. 2006, http://www.thegef.org/gef/sites/thegef.org/files/documents/ZAMBIA-FNDP.pdf., Google Scholar
- Chi BH, Cantrell RA, Zulu I, Mulenga LB, Levy JW, Tambatamba BC: Adherence to first-line antiretroviral therapy affects non-virologic outcomes among patients on treatment for more than 12 months in Lusaka, Zambia. Int J Epidemiol. 2009, 38 (3): 746-756. 10.1093/ije/dyp004View ArticlePubMedPubMed CentralGoogle Scholar
- Birbeck GL, Chomba E, Kvalsund M, Bradbury R, Mang’ombe C, Malama K: Antiretroviral adherence in rural Zambia: the first year of treatment availability. AmJTrop Med Hyg. 2009, 80 (4): 669-674.Google Scholar
- Cantrell RA, Sinkala M, Megazinni K, Lawson-Marriott S, Washington S, Chi BH: A pilot study of food supplementation to improve adherence to antiretroviral therapy among food-insecure adults in Lusaka, Zambia. J Acquir Immune Defic Syndr. 2008, 49 (2): 190-195. 10.1097/QAI.0b013e31818455d2View ArticlePubMedGoogle Scholar
- Carlucci JG, Kamanga A, Sheneberger R, Shepherd BE, Jenkins CA, Spurrier J: Predictors of adherence to antiretroviral therapy in rural Zambia. J Acquir Immune Defic Syndr. 2008, 47 (5): 615-622. 10.1097/QAI.0b013e318165dc25View ArticlePubMedPubMed CentralGoogle Scholar
- Grant E, Logie D, Masura M, Gorman D, Murray SA: Factors facilitating and challenging access and adherence to antiretroviral therapy in a township in the Zambian Copperbelt: a qualitative study. AIDS Care. 2008, 20 (10): 1155-1160. 10.1080/09540120701854634View ArticlePubMedGoogle Scholar
- Murray LK, Semrau K, McCurley E, Thea DM, Scott N, Mwiya M: Barriers to acceptance and adherence of antiretroviral therapy in urban Zambian women: a qualitative study. AIDS Care. 2009, 21 (1): 78-86. 10.1080/09540120802032643View ArticlePubMedPubMed CentralGoogle Scholar
- Nozaki I, Dube C, Kakimoto K, Yamada N, Simpungwe JB: Social factors affecting ART adherence in rural settings in Zambia. AIDS Care. 2011, 23 (7): 831-838.View ArticlePubMedPubMed CentralGoogle Scholar
- Sanjobo N, Frich JC, Fretheim A: Barriers and facilitators to patients’ adherence to antiretroviral treatment in Zambia: a qualitative study. SAHARA J. 2008, 5 (3): 136-143. 10.1080/17290376.2008.9724912View ArticlePubMedGoogle Scholar
- Carrieri MP, Raffi F, Lewden C, Sobel A, Michelet C, Cailleton V: Impact of early versus late adherence to highly active antiretroviral therapy on immuno-virological response: a 3-year follow-up study. Antivir Ther. 2003, 8 (6): 585-594.PubMedGoogle Scholar
- Chêne G, Sterne JA, May M, Costagliola D, Ledergerber B, Phillips AN: Prognostic importance of initial response in HIV-1 infected patients starting potent antiretroviral therapy: analysis of prospective studies. Lancet. 2003, 362 (9385): 679-686.View ArticlePubMedGoogle Scholar
- WHO: HIV Testing, Treatment and Prevention: Generic Tools for Operational Research. 2012, http://www.who.int/hiv/pub/operational/or_generic_client.pdf., Google Scholar
- Chesney MA, Ickovics JR, Chambers DB, Gifford AL, Neidig J, Zwickl B: Self-reported adherence to antiretroviral medications among participants in HIV clinical trials: the AACTG adherence instruments. Patient Care Committee & Adherence Working Group of the Outcomes Committee of the Adult AIDS Clinical Trials Group (AACTG). AIDS Care. 2000, 12 (3): 255-266. 10.1080/09540120050042891View ArticlePubMedGoogle Scholar
- WHO: WHO Case Definitions of HIV for Surveillance and Revised WHO Clinical Staging and Immunological Classification of HIV and Case Definition of HIV for Surveillance. 2012, http://www.who.int/hiv/pub/guidelines/WHO%20HIV%20Staging.pdf., Google Scholar
- Kalichman SC, Simbayi LC, Cloete A, Mthembu PP, Mkhonta RN, Ginindza T: Measuring AIDS stigmas in people living with HIV/AIDS: the Internalized AIDS-Related Stigma Scale. AIDS Care. 2009, 21 (1): 87-93. 10.1080/09540120802032627View ArticlePubMedGoogle Scholar
- Alaimo K, Briefel RR, Frongillo EA, Olson CM: Food insufficiency exists in the United States: results from the third National Health and Nutrition Examination Survey (NHANES III). Am J Public Health. 1998, 88 (3): 419-426. 10.2105/AJPH.88.3.419View ArticlePubMedPubMed CentralGoogle Scholar
- Franke MF, Murray MB, Muñoz M, Hernández-Díaz S, Sebastián JL, Atwood S: Food insufficiency is a risk factor for suboptimal antiretroviral therapy adherence among HIV-Infected adults in urban Peru. AIDS Behav. 2010, 15 (7): 1483-1489.View ArticleGoogle Scholar
- Mills EJ, Nachega JB, Buchan I, Orbinski J, Attaran A, Singh S: Adherence to antiretroviral therapy in sub-Saharan Africa and North America: a meta-analysis. JAMA. 2006, 296 (6): 679-690. 10.1001/jama.296.6.679View ArticlePubMedGoogle Scholar
- Liu H, Miller LG, Hays RD, Golin CE, Wu T, Wenger NS: Repeated measures longitudinal analyses of HIV virologic response as a function of percent adherence, dose timing, genotypic sensitivity, and other factors. J Acquir Immune Defic Syndr. 2006, 41 (3): 315-322. 10.1097/01.qai.0000197071.77482.6eView ArticlePubMedGoogle Scholar
- Alibhai A, Kipp W, Saunders LD, Senthilselvan A, Kaler A, Houston S: Gender-related mortality for HIV-infected patients on highly active antiretroviral therapy (HAART) in rural Uganda. Int J Womens Health. 2010, 2: 45-52.View ArticlePubMedPubMed CentralGoogle Scholar
- WHO/UNAIDS/UNICEF: Towards Universal Access: Scaling up Priority HIV/AIDS Interventions in the Health Sector. 2012, http://whqlibdoc.who.int/publications/2010/9789241500395_eng.pdf., Google Scholar
- Zolopa A, Andersen J, Powderly W, Sanchez A, Sanne I, Suckow C, Hogg E, Komarow L: Early antiretroviral therapy reduces AIDS progression/death in individuals with acute opportunistic infections: a multicenter randomized strategy trial. PLoS One. 2009, 4 (5): e5575- 10.1371/journal.pone.0005575View ArticlePubMedPubMed CentralGoogle Scholar
- Ofotokun I, Chuck SK, Hitti JE: Antiretroviral pharmacokinetic profile: a review of sex differences. Gend Med. 2007, 4 (2): 106-119. 10.1016/S1550-8579(07)80025-8View ArticlePubMedGoogle Scholar
- Wood SA, Tobias C, McCree J: Medication adherence for HIV positive women caring for children: in their own words. AIDS Care. 2004, 16 (7): 909-913. 10.1080/09540120412331290158View ArticlePubMedGoogle Scholar
- Eckman A, Blakley H, Anita B: How to Integrate Gender into HIV/AIDS Programs: Using Lessons Learned from USAID and Partner Organizations. Washington DC: Interagency Gender Working Group (IGWG) of USAID. 2012, http://www.prb.org/igwg_media/HowToIntegrGendrHIV.pdf., Google Scholar
- ICW: ICW Vision Paper 2: Access to Care, Treatment and Support (ACTS). 2012, http://www.icw.org/files/VP2_ACTS_Eng.pdf., Google Scholar
- Human Rights Watch: Hidden in the Mealie Meal Gender-Based Abuses and Women’s HIV Treatment in Zambia. Human Rights Watch Volume 19. 2012, http://www.hrw.org/sites/default/files/reports/zambia1207web.pdf., Google Scholar
- Watt MH, Maman S, Earp JA, Eng E, Setel PW, Golin CE: “It’s all the time in my mind”: facilitators of adherence to antiretroviral therapy in a Tanzanian setting. Soc Sci Med. 2009, 68 (10): 1793-1800. 10.1016/j.socscimed.2009.02.037View ArticlePubMedPubMed CentralGoogle Scholar
- Stubbs BA, Micek MA, Pfeiffer JT, Montoya P, Gloyd S: Treatment partners and adherence to HAART in Central Mozambique. AIDS Care. 2009, 21 (11): 1412-1419. 10.1080/09540120902814395View ArticlePubMedGoogle Scholar
- Au JT, Kayitenkore K, Shutes E, Karita E, Peters PJ, Tichacek A: Access to adequate nutrition is a major potential obstacle to antiretroviral adherence among HIV-infected individuals in Rwanda. AIDS. 2006, 20 (16): 2116-2118. 10.1097/01.aids.0000247580.16073.1bView ArticlePubMedGoogle Scholar
- Hardon AP, Akurut D, Comoro C, Ekezie C, Irunde HF, Gerrits T: Hunger, waiting time and transport costs: time to confront challenges to ART adherence in Africa. AIDS Care. 2007, 19 (5): 658-665. 10.1080/09540120701244943View ArticlePubMedGoogle Scholar
- Birbeck GL, Kvalsund MP, Byers PA, Bradbury R, Mang’ombe C, Organek N, Kaile T, Sinyama AM, Sinyangwe SS, Malama K, Malama C: Neuropsychiatric and socioeconomic status impact antiretroviral adherence and mortality in rural Zambia. AmJTrop Med Hyg. 2011, 85 (4): 782-789. 10.4269/ajtmh.2011.11-0187.View ArticleGoogle Scholar
- WFP: Zambia: WFP Activities. 2012, http://www.wfp.org/countries/Zambia/Operations., Google Scholar
- Weiser SD, Tuller DM, Frongillo EA, Senkungu J, Mukiibi N, Bangsberg DR: Food insecurity as a barrier to sustained antiretroviral therapy adherence in Uganda. PLoS One. 2010, 5 (4): e10340- 10.1371/journal.pone.0010340View ArticlePubMedPubMed CentralGoogle Scholar
- Bhat VG, Ramburuth M, Singh M, Titi O, Antony AP, Chiya L: Factors associated with poor adherence to anti-retroviral therapy in patients attending a rural health centre in South Africa. Eur J Clin Microbiol Infect Dis. 2010, 29 (8): 947-953. 10.1007/s10096-010-0949-4View ArticlePubMedGoogle Scholar
- Byakika-Tusiime J, Crane J, Oyugi JH, Ragland K, Kawuma A, Musoke P: Longitudinal antiretroviral adherence in HIV+ Ugandan parents and their children initiating HAART in the MTCT-Plus family treatment model: role of depression in declining adherence over time. AIDS Behav. 2009, 13 (Suppl 1): 82-91.View ArticlePubMedGoogle Scholar
- Garang PG, Odoi RA, Kalyango JN: Adherence to antiretroviral therapy in conflict areas: a study among patients receiving treatment from Lacor Hospital, Uganda. AIDS Patient Care STDS. 2009, 23 (9): 743-747. 10.1089/apc.2009.0073View ArticlePubMedGoogle Scholar
- Krebs DW, Chi BH, Mulenga Y, Morris M, Cantrell RA, Mulenga L: Community-based follow-up for late patients enrolled in a district-wide programme for antiretroviral therapy in Lusaka, Zambia. AIDS Care. 2008, 20 (3): 311-317. 10.1080/09540120701594776View ArticlePubMedGoogle Scholar
- Mills EJ, Nachega JB, Bangsberg DR, Singh S, Rachlis B, Wu P: Adherence to HAART: a systematic review of developed and developing nation patient-reported barriers and facilitators. PLoS Med. 2006, 3 (11): e438- 10.1371/journal.pmed.0030438View ArticlePubMedPubMed CentralGoogle Scholar
- Mugusi F, Mugusi S, Bakari M, Hejdemann B, Josiah R, Janabi M: Enhancing adherence to antiretroviral therapy at the HIV clinic in resource constrained countries; the Tanzanian experience. Trop Med Int Health. 2009, 14 (10): 1226-1232. 10.1111/j.1365-3156.2009.02359.xView ArticlePubMedGoogle Scholar
- Muyingo SK, Walker AS, Reid A, Munderi P, Gibb DM, Ssali F: Patterns of individual and population-level adherence to antiretroviral therapy and risk factors for poor adherence in the first year of the DART trial in Uganda and Zimbabwe. J Acquir Immune Defic Syndr. 2008, 48 (4): 468-475. 10.1097/QAI.0b013e31817dc3fdView ArticlePubMedGoogle Scholar
- Nachega JB, Stein DM, Lehman DA, Hlatshwayo D, Mothopeng R, Chaisson RE: Adherence to antiretroviral therapy in HIV-infected adults in Soweto, South Africa. AIDS Res Hum Retroviruses. 2004, 20 (10): 1053-1056. 10.1089/aid.2004.20.1053View ArticlePubMedGoogle Scholar
- Olowookere SA, Fatiregun AA, Akinyemi JO, Bamgboye AE, Osagbemi GK: Prevalence and determinants of nonadherence to highly active antiretroviral therapy among people living with HIV/AIDS in Ibadan, Nigeria. J Infect Dev Ctries. 2008, 2 (5): 369-372.PubMedGoogle Scholar
- Shah B, Walshe L, Saple DG, Mehta SH, Ramnani JP, Kharkar RD: Adherence to antiretroviral therapy and virologic suppression among HIV-infected persons receiving care in private clinics in Mumbai, India. Clin Infect Dis. 2007, 44 (9): 1235-1244. 10.1086/513429View ArticlePubMedGoogle Scholar
- Wang X, Wu Z: Factors associated with adherence to antiretroviral therapy among HIV/AIDS patients in rural China. AIDS. 2007, 21 (Suppl 8): S149-S155. 10.1097/01.aids.0000304711.87164.99View ArticlePubMedGoogle Scholar
- Chesney MA: Factors affecting adherence to antiretroviral therapy. Clin Infect Dis. 2000, 30 (Suppl 2): S171-S176.View ArticlePubMedGoogle Scholar
- Glass TR, De Geest S, Hirschel B, Battegay M, Furrer H, Covassini M: Self-reported non-adherence to antiretroviral therapy repeatedly assessed by two questions predicts treatment failure in virologically suppressed patients. Antivir Ther. 2008, 13 (1): 77-85.PubMedGoogle Scholar
- Shi L, Liu J, Koleva Y, Fonseca V, Kalsekar A, Pawaskar M: Concordance of adherence measurement using self-reported adherence questionnaires and medication monitoring devices. Pharmaco Econ. 2010, 28 (12): 1097-1107. 10.2165/11537400-000000000-00000.View ArticleGoogle Scholar
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