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JAIDS Journal of Acquired Immune Deficiency Syndromes:
doi: 10.1097/QAI.0b013e31829ceaec
Implementation and Operational Research: Epidemiology and Prevention

Risk Factors for Delayed Initiation of Combination Antiretroviral Therapy in Rural North Central Nigeria

Aliyu, Muktar H. MD, DrPH*,†; Blevins, Meridith MS; Parrish, Deidra D. MD, MPH; Megazzini, Karen M. DrPH§; Gebi, Usman I. MBBS; Muhammad, Mukhtar Y. MBBS; Ahmed, Mukhtar L. PhD; Hassan, Adiba MPH*,‖; Shepherd, Bryan E. PhD; Vermund, Sten H. MD, PhD*,†,#; Wester, C. William MD, MPH

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Author Information

Departments of *Preventive Medicine,

Medicine, and

Biostatistics, Vanderbilt Institute for Global Health, Nashville, TN;

§Westat, Rockville, MD;

Friends in Global Health, Abuja, Nigeria;

US Centers for Disease Control and Prevention, Abuja, Nigeria; and

the #Department of Pediatrics, Vanderbilt Institute for Global Health, Nashville, TN.

Correspondence to: Muktar H. Aliyu, MD, DrPH, Vanderbilt Institute for Global Health, 2525 West End Avenue, Suite 750, Nashville, TN 37203-1738 (e-mail: muktar.aliyu@vanderbilt.edu).

The authors have no conflicts of interest to disclose.

Supported by the President's Emergency Plan for AIDS Relief (PEPFAR) through cooperative agreement No. 5U2GPS001063 from the HHS/Centers for Disease Control and Prevention (CDC), Division of Global HIV/AIDS, and the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health, award number R01HD075075. Support was also received from the Fogarty Clinical Research Fellows Program at Vanderbilt, NIH award number R24TW007988.

The findings and conclusions in this article are those of the authors and do not necessarily represent the official position of the US Centers for Disease Control and Prevention or the National Institutes of Health.

Received February 05, 2013

Accepted May 21, 2013

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Abstract

Background: Timely initiation of combination antiretroviral therapy (ART) in eligible HIV-infected patients is associated with substantial reduction in mortality and morbidity. Nigeria has the second largest number of persons living with HIV/AIDS in the world. We examined patient characteristics, time to ART initiation, retention, and mortality at 5 rural facilities in Kwara and Niger states of Nigeria.

Methods: We analyzed program-level cohort data for HIV-infected ART-naive clients (≥15 years) enrolled from June 2009 to February 2011. We modeled the probability of ART initiation among clients meeting national ART eligibility criteria using logistic regression with splines.

Results: We enrolled 1948 ART-naive adults/adolescents into care, of whom, 1174 were ART eligible (62% female). Only 74% of the eligible patients (n = 869) initiated ART within 90 days after enrollment. The median CD4+ count for eligible clients was 156 cells/μL (interquartile range: 81–257), with 67% in WHO stage III/IV disease. Adjusting for CD4+ count, WHO stage, functional status, hemoglobin, body mass index, sex, age, education, marital status, employment, clinic of attendance, and month of enrollment, we found that immunosuppression [CD4 350 vs. 200, odds ratio (OR) = 2.10, 95% confidence interval (CI): 1.31 to 3.35], functional status [bedridden vs. working, OR = 4.17 (95% CI: 1.63 to 10.67)], clinic of attendance [Kuta Hospital vs. referent: OR = 5.70 (95% CI: 2.99 to 10.89)], and date of enrollment [December 2010 vs. June 2009: OR = 2.13 (95% CI: 1.19 to 3.81)] were associated with delayed ART initiation.

Conclusions: Delayed initiation of ART was associated with higher CD4+ counts, lower functional status, clinic of attendance, and later dates of enrollment among ART-eligible clients. Our findings provide targets for quality improvement efforts that may help reduce attrition and improve ART uptake in similar settings.

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INTRODUCTION

Nigeria is home to the second largest number of people living with HIV in the world (estimated 3.3 million), after South Africa.1,2 The US President's Emergency Plan for AIDS Relief (PEPFAR) has made substantial contributions to stemming the tide of the HIV/AIDS epidemic in Nigeria, but there is still much to be done. Although PEPFAR supported provision of comprehensive antiretroviral therapy (ART) to 334,700 Nigerians in 2010, national treatment coverage from all sources was 26%, the lowest among all 15 PEPFAR focus countries.3 Similarly, only 14.7% of 3351 health facilities nationwide offered ART services in 2011, despite a 25% increase (from 393 to 491) in the number of ART sites between 2009 and 2011.4 The ability to access HIV treatment services beyond larger cities remains limited.3–6

Adding to the problem of lack of access to ART are delays in initiation of ART in treatment-eligible patients. Delays in initiation of ART could be because of many reasons, including pre-ART attrition and system-mandated waits to allow for pretreatment counseling.7–9 These delays are associated with excess rates of preventable morbidity and mortality, especially in ART-eligible patients with advanced HIV disease who are already at elevated risk of death.10–13 Compared to studies on adherence and retention after commencement of ART, there is a relative dearth of literature on factors associated with delayed ART initiation in the pre-ART phase.10 Such research could contribute to the development of programmatic strategies to minimize holdups in treatment initiation, thereby curtailing high levels of early mortality seen in HIV-infected patients in resource-limited settings.14,15

In addition to few studies of delayed ART initiation, there is little published operations research on programmatic trends and outcomes of HIV-infected patients enrolled in rural HIV treatment programs in Nigeria.5,6,16 Lessons learned in rural settings may differ substantially from what has been learned in peri-urban and urban settings, thus providing valuable information to policymakers as service provision is scaled-up in secondary-level health facilities.16–18

This study reviewed baseline characteristics of adults enrolled in HIV care and treatment in an ART program in north central Nigeria. Predictors of delayed initiation of ART, that is, initiation of ART more than 90 days after enrollment into HIV care and treatment and trends in mortality and retention in care were also examined.

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METHODS

Study Design

This is an observational cohort study using patient-level data routinely collected for program monitoring and evaluation purposes.

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Study Setting

Since 2008, the Vanderbilt Institute for Global Health (VIGH) and its nongovernmental Nigerian incorporated affiliate, Friends in Global Health, LLC (FGH), have been implementing comprehensive HIV/AIDS services focused in rural Kwara and Niger states, with funding from PEPFAR through the US Centers for Disease Control and Prevention (CDC). Niger and Kwara states are located in Nigeria's north central region bordering the country of Benin on the west. The north central region has the highest HIV prevalence in the country (2010 adult HIV prevalence of 7.5% vs. national HIV prevalence of 3.6%).10 Both Ilorin, the capital of Kwara state, and Minna, the capital of Niger state, are located on major highways that link the north and south of Nigeria, with substantial populations of HIV at-risk groups. The prevalence of HIV among adults in Niger and Kwara states is estimated to be 4.0% and 2.2%, respectively.19

As of mid 2011, VIGH/FGH supported HIV/AIDS services in 5 secondary-level facilities, namely: Sobi Specialist Hospital (Ilorin) and Lafiagi General Hospital in Kwara state; and Gawu Babangida Rural Hospital, Kuta Rural Hospital, and Umaru Yar Adua Hospital Sabon Wuse in Niger state. These 5 clinics are served by 9 rural HIV testing and counseling/prevention of mother-to-child HIV transmission (PMTCT) feeder sites (“satellite” sites) in a hub-and-spoke model.

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Study Population

This study included all HIV-infected patients aged ≥15 years of both sexes entering HIV care and treatment in Vanderbilt University/FGH-supported treatment sites from June 1, 2009 through February 28, 2011. Study exclusion criteria included patients <15 years old and patients enrolled into care outside the defined study period.

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Care and Treatment Protocol

VIGH/FGH-supported activities in Nigeria use an integrated and holistic health-system-strengthening approach, organized around 2 core principles: (1) direct technical assistance to government health facilities to implement integrated HIV clinical services at the state level; and (2) health workforce capacity development. Supported activities include the following program areas: adult and pediatric HIV care and treatment, PMTCT, HIV testing and counseling, tuberculosis (TB)-HIV services, orphans and vulnerable children, pharmaceutical logistics including procurement and provision of antiretroviral drugs, strengthening of laboratory infrastructure, and improvement of strategic information services.

Patients who were tested HIV-positive in VIGH/FGH-supported clinics, or those who were referred from other clinics, were enrolled into the HIV care and treatment program. HIV testing occurred in HIV testing and counseling, PMTCT, or TB settings using the national serial rapid HIV-testing algorithm. All enrolled patients received an initial evaluation, including baseline laboratory tests [CD4+ cell counts (CD4+ counts), hematology, chemistry], WHO clinical staging, and a general clinical exam by a physician to screen for TB and other opportunistic infections. Clients received a basic care kit and other services, including adherence counseling, nutritional support, palliative care, and home-based care (based on need).

Enrolled adult patients were deemed eligible for ART based on Nigerian guidelines. Before June 2010, initiation guidelines included all patients with WHO stage I/II disease with CD4+ cells <200/μL, or with WHO stage III disease and CD4+ cells 200–350/μL, or WHO stage IV disease regardless of CD4+ cell count. Beginning June 2010, initiation guidelines included having a CD4+ cell count ≤350/μL; or having WHO stage III or IV disease regardless of the CD4+ cell count. The most commonly used adult ART regimen was a combination of zidovudine (ZDV) plus lamivudine (3TC) plus nevirapine (NVP) or efavirenz (EFV) (nonpregnant clients). Some clients received tenofovir (TDF) in place of ZDV and emtricitabine (FTC) instead of 3 TC. Patients requiring second-line ART were placed on 2 new nucleoside reverse transcriptase inhibitors plus the protease inhibitor lopinavir/ritonavir. Pregnant women with WHO stage III or IV disease and/or having a CD4+ cell count <350 cells/µL were immediately referred to treatment sites for ART initiation. Nonpregnant patients were followed up in clinic every 3 months. The specific care and treatment protocol for children is outside the scope of this study.

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Data Source, Cleaning, and Measurement

We used routinely collected PEPFAR program data for this analysis. The database was extracted on 31 May 2011 such that all patients enrolled on or before 28 February 2011 could contribute data for evaluation of ART initiation within 90 days of enrollment. After each clinic day, FGH data clerks entered data from national patient management and monitoring forms that had been completed by clinicians, nurses, laboratory, and pharmacy staff into CAREWare (JPROG, New Orleans, LA), an electronic medical records system. Routine audits of medical records were performed to ensure that forms were completed accurately and laboratory data were entered correctly. Demographic information was based on self-report and included: sex, age, marital status, educational status, occupational status, and service entry into the program. Clinical and laboratory data included: weight, height, functional status, WHO clinical stage, TB status, CD4+ cell count, hepatitis B surface antigen and syphilis (VDRL) serology, pregnancy status, hematocrit, hemoglobin, alanine aminotransferase (ALT), and creatinine levels.

Data queries were generated for out-of-range and missing data. Each site addressed its data queries; clean data were extracted for the final analyses. We indicated the following out-of-range data for laboratory and anthropometric values as missing, based on consensus of our expert team of senior clinicians: hemoglobin <1 (n = 46) and >18 (n = 60); CD4+ cell count <0 (n = 0) or >1500 (n = 7); creatinine >100 mg/dL (n = 10) or <0.1 mg/dL (n = 0); height <100 cm (n = 21) or >220 cm (n = 4); weight <20 kg (n = 23) or >120 kg (n = 19). Extreme body mass index (BMI) records <10 kg/m2 (n = 11) and >50 kg/m2 (n = 38) were also considered out of range and therefore missing.

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Definitions

Loss to follow-up (LTFU) was defined as those patients who are not deceased and have not had contact in 180 days before closure of the database; this definition adheres to the Nigeria and WHO policy standard of >90 days late for scheduled visit after a 3-month routine visit schedule.20,21 Patients who tested HIV-positive, received posttest counseling and had their information recorded in the clinic register were considered “enrolled into care.” Enrolled patients were considered to have “initiated” treatment once they were started on ART by a provider. Mortality was ascertained by facility records and tracking reports from home-based care and community health workers.21

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Outcomes

Our primary outcome was ART initiation within 90 days of enrollment among those eligible for ART. The secondary endpoints included trends in rates of loss to follow-up and mortality. We employed an “intent-to-continue treatment” approach for all analyses (disregarding subsequent changes to treatment, including treatment interruptions, and terminations), such that this represents a best-case scenario.

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Statistical Analysis

To describe patients who fail to initiate ART among those eligible for ART, we tabulated summary characteristics by ART-initiation status within 90 days of enrollment. We used χ2 and Wilcoxon rank-sum tests to examine differences in baseline characteristics by ART-initiation status. We used a Kaplan–Meier plot and log-rank test to examine sex differences in timely ART initiation. A multivariable logistic regression model assessed whether baseline demographics, laboratory results, and clinical assessment were associated with delayed ART initiation among clients meeting national ART eligibility criteria at enrollment. To relax linearity assumptions, we modeled CD4+ counts and date of enrollment using restricted cubic splines. Multiple imputation was used to account for missing values of baseline predictors and to prevent case-wise deletion of missing data; 418 (36%) patients had complete data for all covariates. Covariates were identified a priori; those with more than 60% missing were excluded from multivariable analysis. We used the functions “aregImpute” and “fit.mult.impute” from the Hmisc package in R which used predictive mean matching to take random draws from imputation models; 25 imputation data sets were used in the analysis. Missing data is assumed to be missing at random conditional on the observed outcome and nonmissing covariates; all variables used in the logistic regression outcome model were included in the imputation models. All hypothesis testing was 2-sided with a level of significance set at 5%. We used R-software 2.15.1 (www.r-project.org) for all data analyses. Analysis scripts are available at http://biostat.mc.vanderbilt.edu/ArchivedAnalyses.

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Ethical Considerations

This study included retrospective analysis of routinely collected service data and did not involve any patient contact. Participants were not required to provide written informed consent. All personal identifiers were removed after data abstraction. Data personnel were trained on confidentiality and secure data transmission. Ethical approval was obtained from the Vanderbilt University Institutional Review Board and the Nigeria National Human Research Ethics Committee. Clearance from the Office of the Assistant Director of Science, CDC, Atlanta, was also obtained.

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RESULTS

From June 1, 2009 to February 28, 2011 we enrolled 1948 HIV-infected adult patients into care (Fig. 1). Of the 1673 HIV-infected adults assessed for ART eligibility within 90 days of enrollment, 1174 were deemed eligible. Of this number, 869 (74%) initiated ART within the first 90 days after enrollment.

Figure 1
Figure 1
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Sociodemographic and Clinical Characteristics

The majority of ART-eligible patients were female (62%). Slightly more than half of all ART-eligible patients were enrolled at Gawu Babangida Rural Hospital (58%) (Table 1). The median age [interquartile range (IQR)] of eligible patients was 34 years (28–40). Many ART-eligible patients were unemployed (55%) and illiterate (38%). Married persons comprised 78% of all ART-eligible patients. We found 6% of women in the cohort (n = 66) to be pregnant at enrollment. “Early” and “late/none” ART initiation groups were similar across age, sex, educational level, and marital status. Pregnant females initiated ART within 90 days of enrollment at a more rapid rate than nonpregnant women and men (log rank test P < 0.001, Fig. 2).

Table 1
Table 1
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Figure 2
Figure 2
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Clinical characteristics of the cohort are shown in Table 2. Median CD4+ cell count at enrollment was 156/μL (IQR, 81–257). Median CD4+ cell counts and hemoglobin levels were similar between early and late/none ART status categories. The median (IQR) values for CD4+ cell counts and hemoglobin were 149/μL (69–282) and 10.2 g/dL (8.8–11.8), respectively, for eligible patients who did not initiate ART within 90 days of enrollment. Two-thirds of all patients (67%) had advanced HIV disease at enrollment (WHO stage III or IV disease). Clients who did not initiate ART within 90 days were more likely to present with severe clinical illness than those who did (proportion of delayed ART initiators with WHO stage IV disease = 8% vs. 4% of early initiators, P < 0.01).

Table 2
Table 2
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Predictors of ART Initiation

Table 3 shows logistic regression results for demographic and clinical predictors of delayed ART initiation in all treatment-eligible patients (including pregnant women). Clinic of enrollment and time of enrollment were strongly predictive of delayed ART initiation (P < 0.001). In general, patients enrolled at a more recent period were more likely to have delayed ART initiation beyond 90 days of enrollment than those enrolled at the beginning of the project [December 2010 vs. June 2009, odds ratio (OR) = 2.13 (95% CI: 1.19 to 3.81)]. Patients who were less functionally active were more likely to delay initiating treatment; bedridden clients had a 4-fold odds of delayed treatment initiation compared with their counterparts who were still working at the time of enrollment (OR: 4.17, 95% CI: 1.63 to 10.7). Lower BMI and higher CD4+ counts were also independent predictors of delayed ART initiation. For every unit increase in BMI, we observed a 7% decrease in the odds of delayed ART, such that an individual with BMI of 18.5 vs. 25 kg/m2 has 63% higher odds of delayed initiation (OR: 1.63, 95% CI: 1.13 to 2.34). The relationship between CD4+ cell count and log-odds of delayed infection was U-shaped with a trough at 165 cells per microliter—patients having advanced (CD4+ cell count <50/μL) and moderate levels of immunosuppression (about 250 cells/μL) at the time of enrollment had equal probability of delayed initiation. A HIV-infected patient with CD4+ cell count of 350/μL had half the odds of delayed treatment than a patient having a CD4+ cell count of 200/μL (OR: 2.10, 95% CI: 1.31 to 3.35). We found no evidence of an independent association between WHO stage and treatment initiation. Associations remained unchanged after pregnant women were excluded from the analysis (data not shown).

Table 3
Table 3
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Retention and Mortality

More than one-third of the patients (39%) enrolled into the program and not initiating treatment within 90 days were LTFU in 12 months; 49% of this LTFU occurred after the first visit. The proportion of clients deemed LTFU was larger among delayed initiators than among those who commenced ART within 90 days of enrollment (39% vs. 29% respectively, P < 0.01). Approximately, 7% of patients who did not initiate treatment within 90 days were confirmed deceased within 1 year of enrollment (vs. 3% of those who started ART, P < 0.001).

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DISCUSSION

Our experience in Nigeria indicates the feasibility of successfully implementing and rapidly scaling up treatment services in rural north central Nigeria. However, outcomes are suboptimal. Before 2008, there was no ART-based HIV care at these sites. A sizeable proportion of our patients were found to have advanced disease (WHO stage III/IV) at enrollment, a finding that suggests that testing and linkage is not well implemented at the community level. However, the proportion of patients having very advanced clinical disease (WHO stage IV) showed a progressive decrease with program maturation, an encouraging sign that we are accessing patients earlier who have less-advanced disease.

We found a preponderance of females and unemployed persons among our patient cohort, many of whom were also illiterate. The demographic characteristics of the clients in our program reflect the sociocultural milieu of these communities. The rural northern part of Nigeria has lower educational attainment and higher poverty rates than the southern part of the country.22 Women and girls comprise 60% of people living with HIV in sub-Saharan Africa; in Nigeria an estimated 1.7 million women more than the age of 15 are HIV infected.2 It is therefore not surprising that we have more women than men in our program; as seen in Nigeria and elsewhere, PMTCT is a bridge for women to link to their own chronic HIV care needs.16,23–26 Novel approaches to recruit more men into testing and care are needed.14,27–29

There are few studies evaluating retention and clinical outcomes (including LTFU and mortality) from Nigeria.5,6,16,21 We found substantial LTFU rates among our patients (33% by 12 months post enrollment), higher among clients who did not initiate treatment within 90 days of enrollment (39% at 12 months). A possible contributor to our high LTFU rates is our nonutilization of pharmacy data to ascertain LTFU. Some clients could have picked up their medications without having a clinical encounter, thereby erroneously becoming classified as LTFU. We think this would be unlikely because of the dearth of alternative sources of medications in these rural areas. We note similarly reported high rates of LTFU at 12 months in such diverse venues as large urban facilities in Abuja (34%),30 Benin, Calabar, Enugu and Kano (25%),24 and rural/urban Southeast Nigeria (30%).23 There is a need for well-designed HIV treatment retention and attrition studies in Nigeria that will provide valid estimates for LTFU and other outcomes.6 We also need field surveys of LTFU clients; such surveys in Uganda have been helpful in determining which LTFU are alive in care elsewhere, alive but not in care, and deceased.31 A uniform definition for LTFU would be helpful for PEPFAR, the Global Fund to fight HIV, Tuberculosis, and Malaria, and other Nigerian programs to permit performance to be compared fairly across in-country treatment programs.32,33 However, different LTFU definitions may have to be used for different purposes.34

We believe that certain program structural features help explain missing data. The first visit was the only visit that took place in half of LTFU cases who were enrolled and did not initiate treatment within 90 days (ie, half of patients eligible for ART who were LTFU never showed up for their second visit). CD4+ results are often provided to the patient at the second visit; therefore, a sizeable proportion of our eligible clients would not have known that they were eligible for ART. Point-of-care CD4+ testing in rural sites may help to address this awareness gap and reduce early attrition.35,36 Our programs should also consider early patient tracking and adherence efforts to be important for all patients, not merely those who have initiated ART. The aforementioned Abuja study made a similar case for early tracing of defaulters, because 2-thirds of documented deaths in their cohort occurred within 3 months of enrollment.23

Our finding that death was more likely to occur in late treatment initiators than among patients started on ART within 90 days of enrollment is expected.37–39 Two thirds of our clients (67%) had advanced HIV disease (WHO stage III or IV) at the time of enrollment. Reports that the majority of deaths in treatment programs occur in the months immediately after ART initiation are well documented.40–42 We cannot confirm this in this study, as our mortality numbers are small, yielding unstable estimates.

Factors that were independently associated with delayed ART initiation in this study included: more recent period of enrollment, clinic, lower function/higher disability status, lower BMI, and higher CD4+ cell counts. Unfortunately, as our treatment program matured, newly enrolled patients were less and less likely to be initiated on ART. The higher risk of delayed ART initiation as our program matured could be because of at least 2 factors. First, we underwent significant changes in program leadership in the second year of the program, which reduced the intensity of staff supervision and mentoring and logistics coordination [specifically laboratory (CD4+ cell count, chemistry, and hematology/complete blood count draws) and pharmacy (ART medication stocks) issues]. Second, we transitioned experienced FGH clinicians from direct patient care responsibilities to technical assistance in the second year of program implementation, which resulted in less experienced clinicians taking on more direct patient care. These changes could have cumulatively affected the quality of services provided, including ART-related decision-making and early tracking of newly enrolled patients. Because 91% of timely initiators had high functional status versus 82% of late initiators, we confirm that the sickest patients are not necessarily those going on ART at the highest rates in rural north central Nigeria. A reason could be the delay in commencing ART that is sometimes associated with the need to first provide nutritional supplementation in markedly ill-looking or malnourished patients or with the clinicians' inclinations to wait until treatment for TB and other opportunistic infections is commenced. Clients at Gawu Babangida Rural Hospital were more likely to be initiated on ART; it was our first treatment center in Niger state and is readily accessible to FGH staff in Abuja, facilitating closer oversight and easier access to laboratory and pharmacy resources. In contrast, our most remote treatment site (Kuta Hospital) had the worst outcomes.

This study, grounded in real-world data, has several limitations. We had substantial amounts of missing data, especially for core sociodemographic variables. We were also unable to determine the eligibility for patients missing CD4+ cell counts with WHO stage I and II disease (and III before June 2010), whereas this determination was straightforward for patients having WHO stage IV disease (and III after June 2010) who were all eligible for treatment. Because those patients without CD4+ counts were not included in the denominator, the proportion of patients we report as ART eligible could be an overestimate. The mortality statistics presented here are an underestimate, as some LTFU patients are deceased. A major strength of this study is our use of multiple clinics in real-world, rural Nigeria, reflecting the realities of PEPFAR implementation for a rural, under-studied population. Other strong points include: large sample size, use of an extensive querying and data-cleaning process, and the application of multiple imputation to account for missing values of baseline predictors and to prevent case-wise deletion of missing data.

In summary, we report suboptimal findings from the first 2 years of a comprehensive HIV treatment program in rural north central Nigeria. Knowledge that less immunosuppression, lower functional status, clinic of attendance, and more recent date of enrollment were significantly associated with delayed ART initiation gives us specific targets for quality improvement efforts. Community-based initiatives targeting at-risk malnourished patients, many of whom also have reduced functional status, seem to be needed in such settings.43–45 As PEPFAR moves from the emergency to the consolidation phase, with an increasing proportion of scale-up activities occurring in rural settings, it becomes even more important to use program data in assessing performance and determining what changes can be implemented that would make services more efficient, effective, and sustainable by local host governments in such settings.46

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ACKNOWLEDGMENTS

The authors acknowledge the contributions of the following persons to the implementation of Vanderbilt's HIV program in Nigeria: Julie Lankford (Director, Global Operations, VIGH), Robb Reed (former Chief of Party, FGH Nigeria), Dr Saidu Saadu (Director, Clinical Services, FGH Nigeria), Dr Anthony Okwuosah (former Activity Manager, CDC-Nigeria), and Subrat Das (Project Officer, CDC-Nigeria).

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REFERENCES


2. UNAIDS. Global Report: UNAIDS Report on the Global AIDS Epidemic 2010. New York: Joint United Nations Programme on HIV/AIDS; 2010. Available at: http://www.unaids.org/globalreport/Global_report.htm. Accessed March 08, 2012.

3. WHO/UNAIDS/UNICEF. Global HIV/AIDS Response: Epidemic Update and Health Services Progress Toward Universal Access. Progress Report 2011. Geneva, Switzerland: World Health Organization; 2011. Available at: http://whqlibdoc.who.int/publications/2011/9789241502986_eng.pdf. Accessed March 01, 2012.

4. National Agency for the Control of AIDS (NACA). Federal Republic of Nigeria Global AIDS Response. Country Progress Report, Nigeria, GARPR 2012. Abuja, Nigeria; 2012. Available at: http://www.unaids.org/en/dataanalysis/knowyourresponse/countryprogressreports/2012countries/Nigeria%202012%20GARPR%20Report%20Revised.pdf. Accessed September 09, 2012.

5. National Agency for the Control of AIDS (NACA). National HIV/AIDS policy review report. In: Research and New Technologies. Abuja, Nigeria: NACA; 2009. Available at: http://naca.gov.ng/index2.php?option=com_docman&task=doc_view&gid=67&Itemid=268. Accessed October 01, 2012.

6. Aliyu MH, Varkey P, Salihu HM, et al.. The HIV/AIDS epidemic in Nigeria: progress, problems and prospects. Afr J Med Med Sci. 2010;39:233–239.

7. Myer L, Zulliger R, Pienaar D. Diversity of patient preparation activities before initiation of antiretroviral therapy in Cape Town, South Africa. Trop Med Int Health. 2012;17:972–977.

8. Myer L, Zulliger R, Bekker LG, et al.. Systemic delays in the initiation of antiretroviral therapy during pregnancy do not improve outcomes of HIV-positive mothers: a cohort study. BMC Pregnancy Childbirth. 2012;12:94.

9. Gebrekristos HT, Mlisana KP, Karim QA. Patients' readiness to start highly active antiretroviral treatment for HIV. BMJ. 2005;331:772–775.

10. Tayler-Smith K, Zachariah R, Manzi M, et al.. Demographic characteristics and opportunistic diseases associated with attrition during preparation for antiretroviral therapy in primary health centres in Kibera, Kenya. Trop Med Int Health. 2011;16:579–584.

11. Lawn SD, Myer L, Orrell C, et al.. Early mortality among adults accessing a community-based antiretroviral service in South Africa: implications for programme design. AIDS. 2005;19:2141–2148.

12. Violari A, Cotton MF, Gibb DM, et al.; CHER Study Team. Early antiretroviral therapy and mortality among HIV-infected infants. N Engl J Med. 2008;359:2233–2244.

13. Abdool Karim SS, Naidoo K, Grobler A, et al.. Timing of initiation of antiretroviral drugs during tuberculosis therapy. N Engl J Med. 2010;362:697–706.

14. Braitstein P, Brinkhof MW, Dabis F, et al.; Antiretroviral Therapy in Lower Income Countries (ART-LINC) Collaboration; ART Cohort Collaboration (ART-CC) groups. Mortality of HIV-1-infected patients in the first year of antiretroviral therapy: comparison between low-income and high-income countries. Lancet. 2006;367:817–824.

15. Lawn SD, Harries AD, Anglaret X, et al.. Early mortality among adults accessing antiretroviral treatment programmes in sub-Saharan Africa. AIDS. 2008;22:1897–1908.

16. Odafe S, Idoko O, Badru T, et al.. Patients' demographic and clinical characteristics and level of care associated with lost to follow-up and mortality in adult patients on first-line ART in Nigerian hospitals. J Int AIDS Soc. 2012;15:17424.

17. Bajunirwe F, Muzoora M. Barriers to the implementation of programs for the prevention of mother-to-child transmission of HIV: a cross-sectional survey in rural and urban Uganda. AIDS Res Ther. 2005;2:10.

18. Aliyu HB, Chuku NN, Kola-Jebutu A, et al.. What is the cost of providing outpatient HIV counseling and testing and antiretroviral therapy services in selected public health facilities in Nigeria? J Acquir Immune Defic Syndr. 2012;61:221–225.

19. Federal Ministry of Health, Nigeria (FMOH). National AIDS/STI Control Program. Technical Report. 2010 National HIV Sero-prevalence Sentinel Survey. Abuja, Nigeria: Federal Ministry of Health; 2010. Available at: http://www.nigeria-aids.org/documents/2010_National%20HIV%20Sero%20Prevalence%20Sentinel%20Survey.pdf. Accessed January 31, 2013.

20. World Health Organization (WHO) HIV/AIDS. Patient Monitoring Guidelines for HIV Care and Antiretroviral Therapy (ART). Geneva, Switzerland: WHO Press; 2006:30–31.

21. Odafe S, Torpey K, Khamofu H, et al.. The pattern of attrition from an antiretroviral treatment program in Nigeria. PLoS One. 2012;7:e51254.

22. Omonona BT. Quantitative analysis of rural poverty in Nigeria. In: Nigeria Strategy Support Programme (NSSP) Background Paper 9. Washington, DC: International Food Policy Research Institute; 2009. Available at: http://www.ifpri.org/sites/default/files/publications/nssppb17.pdf.

23. Onoka CA, Uzochukwu BS, Onwujekwe OE, et al.. Retention and loss to follow-up in antiretroviral treatment programmes in southeast Nigeria. Pathog Glob Health. 2012;106:46–54.

24. Charurat M, Oyegunle M, Benjamin R, et al.. Patient retention and adherence to antiretrovirals in a large antiretroviral therapy program in Nigeria: a longitudinal analysis for risk factors. PLoS One. 2010;5:e10584.

25. Tonwe-Gold B, Ekouevi DK, Viho I, et al.. Antiretroviral treatment and prevention of peripartum and postnatal HIV transmission in West Africa: evaluation of a two-tiered approach. PLoS Med. 2007;4:e257.

26. Sturt AS, Dokubo EK, Sint TT. Antiretroviral therapy (ART) for treating HIV infection in ART-eligible pregnant women. Cochrane Database Syst Rev. 2010;3:CD008440.

27. Iliyasu Z, Abubakar IS, Kabir M, et al.. Knowledge of HIV/AIDS and attitude towards voluntary counseling and testing among adults. J Natl Med Assoc. 2006;98:1917–1922.

28. Nwachukwu CE, Odimegwu C. Regional patterns and correlates of HIV voluntary counselling and testing among youths in Nigeria. Afr J Reprod Health. 2011;15:131–146.

29. Stephenson R, Miriam Elfstrom K, Winter A. Community influences on married men's uptake of HIV testing in eight African countries. AIDS Behav. 2013;17:2352–2366.

30. Ugbena R, Aberle-Grasse J, Diallo K, et al.. Virological response and HIV drug resistance 12 months after antiretroviral therapy initiation at 2 clinics in Nigeria. Clin Infect Dis. 2012;54:S375–S380.

31. Geng EH, Bangsberg DR, Musinguzi N, et al.. Understanding reasons for and outcomes of patients lost to follow-up in antiretroviral therapy programs in Africa through a sampling-based approach. J Acquir Immune Defic Syndr. 2010;53:405–411.

32. Chi BH, Yiannoutsos CT, Westfall AO, et al.. Universal definition of loss to follow-up in HIV treatment programs: a statistical analysis of 111 facilities in Africa, Asia, and Latin America. PLoS Med. 2011;8:e1001111.

33. Rosen S, Fox MP. Retention in HIV care between testing and treatment in sub-Saharan Africa: a systematic review. PLoS Med. 2011;8:e1001056.

34. Shepherd BE, Blevins M, Vaz LM, et al.. Impact of definitions of loss to follow-up on estimates of retention, mortality, and disease progression: application to an HIV program in Mozambique. Am J Epidemiol. 2013;178:819–828.

35. Jani IV, Sitoe NE, Alfai ER, et al.. Effect of point-of-care CD4 cell count tests on retention of patients and rates of antiretroviral therapy initiation in primary health clinics: an observational cohort study. Lancet. 2011;378:1572–1579.

36. Zachariah R, Reid SD, Chaillet P, et al.. Viewpoint: Why do we need a point-of-care CD4 test for low-income countries? Trop Med Int Health. 2011;16:37–41.

37. HIV Trialists' Collaborative Group. Zidovudine, didanosine, and zalcitabine in the treatment of HIV infection: meta-analyses of the randomised evidence. Lancet. 1999;353:2014–2025.

38. Hammer SM, Squires KE, Hughes MD, et al.. A controlled trial of two nucleoside analogues plus indinavir in persons with human immunodeficiency virus infection and CD4 cell counts of 200 per cubic millimeter or less. AIDS Clinical Trials Group 320 Study Team. N Engl J Med. 1997;337:725–733.

39. Zolopa A, Andersen J, Powderly W, et al.. Early antiretroviral therapy reduces AIDS progression/death in individuals with acute opportunistic infections: a multicenter randomized strategy trial. PLoS One. 2009;4:e5575.

40. Coetzee D, Hildebrand K, Boulle A, et al.. Outcomes after two years of providing antiretroviral treatment in Khayelitsha, South Africa. AIDS. 2004;18:887–895.

41. Ferradini L, Jeannin A, Pinoges L, et al.. Scaling up of highly active antiretroviral therapy in a rural district of Malawi: an effectiveness assessment. Lancet. 2006;367:1335–1342.

42. Stringer JS, Zulu I, Levy J, et al.. Rapid scale-up of antiretroviral therapy at primary care sites in Zambia: feasibility and early outcomes. JAMA. 2006;296:782–793.

43. Koethe JR, Blevins M, Bosire C, et al.. Self-reported dietary intake and appetite predict early treatment outcome among low-BMI adults initiating HIV treatment in sub-Saharan Africa. Public Health Nutr. 2013;16:549–558.

44. Koethe JR, Limbada MI, Giganti MJ, et al.. Early immunologic response and subsequent survival among malnourished adults receiving antiretroviral therapy in Urban Zambia. AIDS. 2010;24:2117–2121.

45. Koethe JR, Lukusa A, Giganti MJ, et al.. Association between weight gain and clinical outcomes among malnourished adults initiating antiretroviral therapy in Lusaka, Zambia. J Acquir Immune Defic Syndr. 2010;53:507–513.

46. Vermund SH, Sidat M, Weil LF, et al.. Transitioning HIV care and treatment programs in southern Africa to full local management. AIDS. 2012;26:1303–1310.

Keywords:

HIV/AIDS; Nigeria; antiretroviral therapy; implementation science; outcomes; PEPFAR; retention; mortality

© 2014 by Lippincott Williams & Wilkins

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