JAIDS Journal of Acquired Immune Deficiency Syndromes:
Implementation and Operational Research: Clinical Science
Superior Outcomes and Lower Outpatient Costs With Scale-Up of Antiretroviral Therapy at the GHESKIO Clinic in Port-au-Prince, Haiti
Riviere, Cynthia MD, MPH, MSc*; Faust, Elizabeth BA†; Miller, Thane‡; Beck, Eduard J. MBBS, PhD§; Baruwa, Elaine PhD‖; Severe, Patrice MD, MS*; Severe, Karine MD*; Riché, Claudia Thomas RN, MSc*; Cassagnol, Rachelle MD, MPH‖; Atwood, Sidney BA¶; Esperance, Morgan MD¶; Webster, Lauren BS*; Cremieux, Pierre PhD†; Pape, Jean W. MD*,#,**; Koenig, Serena P. MD, MPH¶
*Haitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince, Haiti;
†Analysis Group, Boston, MA;
‡Massachusetts Institute of Technology, Cambridge, MA;
§London School of Hygiene and Tropical Medicine, London, United Kingdom;
‖Abt Associates, Cambridge, MA;
¶Division of Global Health Equity, Brigham and Women's Hospital, Boston, MA;
#Weill Cornell Medical College, New York, NY; and
**Center for Global Health, Division of Infectious Diseases, Department of Medicine, Weill Cornell Medical College, New York, NY.
Correspondence to: Cynthia Riviere, MD, MPH, MSc, GHESKIO, 33 Harry Truman Boulevard, Port-au-Prince, Haiti (e-mail: email@example.com) or Serena P. Koenig, MD, MPH, Division of Global Health Equity, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115 (e-mail: firstname.lastname@example.org).
The project was supported in part by the National Institutes of Health Fogarty International Center Grant Number TW009606 and the National Institute of Allergy and Infectious Diseases Grant Number R01AI104344-01A1. J.W.P. and S.P.K. obtained funding for this study.
Conceptualization of the study and manuscript: All authors were involved in the conceptualization of the study and the manuscript; Patient care: C.R., P.S., K.S., C.T.R., and J.W.P. were directly involved in patient care at Haitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections; Data collection and management: All authors were involved in data collection or management; Analysis: C.R., E.F., E.J.B., E.B., P.C., J.W.P., S.A., and S.P.K.; Manuscript writing and revision: C.R. and S.P.K. wrote the first draft and all authors reviewed and edited the manuscript.
The authors have no conflicts of interest to disclose.
Received November 20, 2013
Accepted March 29, 2014
Background: Treatment protocols and prices of antiretroviral therapy (ART) have changed over time. Yet, limited data exist to evaluate the impact of these changes on patient outcomes and treatment costs in resource-poor settings.
Methods: We compared patient-level data on outcomes, utilization, and cost for the first 2 years of ART for a cohort of adult patients initiating ART in 2003–2004 and a cohort initiating ART in 2006–2008 at the Haitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections clinic (GHESKIO) in Port-au-Prince, Haiti. Costs were measured from the health center perspective. Multivariate analyses were conducted to account for the potential impact of differences in disease severity at baseline.
Results: With the exclusion of patients who transferred care, 92% (167/181) of patients in the 2006–2008 cohort and 75% (150/200) in the 2003–2004 cohort were alive and in care at the end of the study period. The mean cost per patient for the 2-year study period was US$723 for the 2006–2008 cohort vs. US$1191 for the 2003–2004 cohort, a cost difference of US$468 (P < 0.0001). The mean cost per patient alive and in care at the end of the 2-year study period was US$744 for the 2006–2008 cohort vs. US$1489 for the 2003–2004 cohort (P < 0.0001).
Conclusions: HIV treatment outcomes in Haiti have improved over time while treatment costs declined by over 50% per patient alive and in care at the end of the 2-year study period. The major drivers in the reduction of treatment costs were the lower price of ART, lower costs for laboratory testing, and lower overhead costs.
The number of people on antiretroviral therapy (ART) for HIV in low- and middle-income countries increased to about 8 million by the end of 2011, out of approximately 14.8 million people who were eligible for treatment.1,2 Though ART scale-up is viewed as widely successful, future levels of international aid remain uncertain.3 With increasing budgetary constraints, reductions in treatment costs may determine the feasibility of providing universal coverage for patients who qualify for ART.2 Several studies have evaluated HIV treatment costs in resource-poor settings.4–15 However, ART prices and treatment protocols have changed over time; yet, data are limited on the impact of these changes on patient outcomes and treatment costs.9,13,16 Over the last decade, ART prices in resource-poor settings have declined substantially.
The mean purchase price of the 10 highest volume ART medications in President's Emergency Plan for AIDS Relief programs decreased by 42% from 2005 to 2008.7 Laboratory protocols have also changed over time. The Development of Antiretroviral Therapy in Africa trial conducted in Uganda and Zimbabwe found no rationale for routine costly monitoring for ART-related toxicity because these tests failed to affect outcomes.17,18 We reached similar conclusions in a study we conducted in Haiti.19 Others have demonstrated that less frequent CD4 cell monitoring can be cost saving, without reducing life expectancy.17,20 To conserve financial and human resources, some HIV programs have decreased the frequency of ART visits or shifted tasks from physicians to nurses and other providers.21–25
To evaluate trends in quality and cost of treatment in Haiti over time, we compared patient outcomes, health-care utilization, and cost for the first 2 years of HIV treatment in a cohort initiating ART at the Haitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO) in 2003 and 2004 and a cohort initiating ART from 2006 to 2008.
Study Setting, Patients, and Treatment Protocols
GHESKIO is the largest provider of HIV treatment services in the Caribbean. In March 2003, GHESKIO began providing ART free of charge for all patients meeting the criteria of The World Health Organization, which at the time of this study included patients with CD4 cell count <200 cells per cubic millimeter or an AIDS-defining condition.26 By the end of 2006, about 1400 patients had been started on ART at GHESKIO; by the end of 2008, this had increased to over 4000 patients; and by the end of 2010, over 7500 patients had initiated ART.27
We compared outcomes, utilization, and cost of all health services between the 2 cohorts from the health center perspective for the first 2 years of ART. The earlier cohort included 218 ART-naive adults (aged >17 yrs) consecutively initiated on ART at GHESKIO from December 23, 2003, to May 20, 2004. The cost of the first year of treatment for this cohort has been published previously.10 The later cohort included 186 randomly selected ART-naive adults (aged >17 yrs) who were started on ART at GHESKIO from January 12, 2006, to December 19, 2008; data for this cohort were collected as part of a separate costing analysis of HIV treatment in Haiti conducted by the Health Systems 20/20 Project, funded by the US Agency for International Development.
For both cohorts, first-line ART included efavirenz or nevirapine. In the 2003–2004 cohort, clinic visits were scheduled monthly. For the 2006–2008 cohort, visit frequency in the second year was reduced to every second or third month among clinically stable patients. At each visit, patients were seen by a physician or nurse and by a pharmacist who dispensed ART and provided adherence counseling. Additional counseling was provided by a social worker upon referral by a clinician.
Laboratory testing protocols for the 2003–2004 cohort included CD4 cell count, complete blood count, creatinine, liver function tests, and glucose before ART initiation and at 6-month intervals in follow-up for patients on ART. In the 2006–2008 cohort, CD4 cell count was done at baseline and then annually, with other tests conducted only as clinically indicated.
Outcomes, Utilization, and Cost of Services
To determine treatment outcomes, we calculated the proportion of patients who were alive and in care, lost to follow-up (LTFU), or dead at the end of the 2-year study period, after excluding patients who were transferred to other clinics. We determined health-care services used at GHESKIO from the day of initiation through the first 2 years of ART for all patients in each cohort.
Cost estimates were obtained using the micro-costing approach described by Drummond et al,28 in which a unit cost was applied to each component of health care used (Table 1). All costs are reported in 2010 US dollars. Costs for the 2003–2004 cohort were inflated to 2010 US dollars using the medical care component of the US consumer price index.
Medication use was extracted from the GHESKIO electronic medical record. Medication doses and start and stop dates were recorded for ART and tuberculosis (TB) medications. For other medications, we used standard doses provided by the GHESKIO staff. We obtained the cost of ART medications for Haiti from the World Health Organization Global Price Reporting Index.29 The cost for TB medications was set at the price of the International Dispensary Association, a nonprofit distributer, plus 20% for importing and storage fees.30 Other medications were purchased from nonprofit and local distributors in an approximately equal ratio, so the cost was set at the average of International Dispensary Association and local prices. All laboratory tests were conducted in the GHESKIO laboratory and documented in the medical records. The unit cost for each laboratory test had previously been calculated by GHESKIO accounting staff and included reagents, equipment, and labor, as has been documented in prior publications.19,31
Labor costs were assigned for each visit date based on the type of service, average visit duration, and hourly labor cost, using GHESKIO annual salaries for each job category. The same method was used to calculate labor costs for the 2003–2004 and 2006–2008 cohorts. As previously described, the average duration of each service was determined by time and motion studies for HIV physician (15 min), nurse (18 min), pharmacist (8 min), and counseling visits (20 min).31 Physician visit duration was increased by 50% to account for follow-up activities, such as chart documentation and phoning patients.10,31
Overhead costs included labor for administrative staff, electricity and gas, building maintenance and security, phone and communication, computers, and furniture and office supplies. These were allocated to each visit from actual expenditures based on clinic volume (adjusted for the duration of patient visits) and square footage, as in previous GHESKIO costing studies.10,31
Each of the resources used by each patient during the 2-year study period was multiplied by its unit cost and summed to yield total cost for the 2003–2004 and 2006–2008 cohorts. The total costs for each cohort were divided by the number of patients in the cohort to determine the mean cost per patient. We also calculated the mean cost per month that patients were alive and in care. Finally, we calculated the cost per patient alive and in care at the end of the 2-year study period excluding patients transferred during the study period.
Differences between the 2 cohorts in age, gender, education, income, baseline weight, baseline CD4 cell count, and initial ART regimen were compared using the χ2 test for binary variables and Wilcoxon rank-sum test for continuous variables. Differences in costs were compared using the Wilcoxon rank-sum tests to account for potential skewness. Total facility-level cost components included overhead, labor, laboratory tests, chest radiographs, medications, and transportation subsidies. Costs were not discounted given the short period of the study.
As a sensitivity analysis, multivariate analyses were conducted to account for the potential impact of significant baseline differences in characteristics across cohorts on the cost of treatment; variables with statistically different baseline mean values (P value ≤ 0.05) were included in the multivariate model. Generalized linear models, assuming a normal distribution and identity link function, were run for the first year, second year, and 2-year study period on the total costs and each cost component and also the number of days on ART. Robust standard errors were reported.
The 2003–2004 cohort included 218 patients who initiated ART from December 23, 2003, to May 20, 2004, and were followed for up to 2 years; the last day in the study period was May 19, 2006. The 2006–2008 cohort was also studied for up to 2 years and included 186 patients who initiated ART from January 12, 2006, to December 19, 2008; the last day in the study period for the follow-up cohort was December 18, 2010. Baseline cohort characteristics are presented in Table 2. Age, gender, income, and baseline CD4 cell count were not significantly different across cohorts. In the 2006–2008 cohort, fewer patients had no school or primary school only (40% vs. 56%, P = 0.0016). They also had heavier median baseline weight (51 vs. 48 kg, P = 0.0241, for women, and 59 vs. 56 kg, P = 0.0190, for men). First-line regimens in the 2006–2008 cohort were more likely to include efavirenz (59% vs. 46%, P = 0.0107) and less likely to include nevirapine (37% vs. 54%, P = 0.0004).
The proportion of patients alive and in care at the end of the study period was 92% (167 of 181) in the 2006–2008 cohort and 75% (150 of 200) in the 2003–2004 cohort, after excluding patients who transferred to other clinics (5 in the 2006–2008 and 18 in the 2003–2004 cohort). Four patients (2%) died in the 2006–2008 cohort, and 10 (6%) were LTFU. Forty-five patients (23%) died in the 2003–2004 cohort, and 5 (2%) were LTFU. As a result, the mean number of days in care for the 2-year study period was about 20% longer for the 2006–2008 cohort (695 vs. 575 days, P < 0.0001) (Table 3).
Utilization and Cost for the First Year of Treatment
The mean cost for the first year of treatment was US$439 for the 2006–2008 cohort and US$608 for the 2003–2004 cohort, a difference of US$169 (P < 0.0001). The 2006–2008 cohort had more days in care during the first year of treatment (357 vs. 305 days, P < 0.0001), and the cost per month alive and in care dropped by over 40% compared with the 2003–2004 cohort (US$37 vs. US$64, P < 0.0001). The price of ART declined over time resulting in first year mean ART costs of US$157 in the 2006–2008 cohort and US$254 in the 2003–2004 cohort, a difference of US$97 (P < 0.0001). The cost of ART per month alive and in care was 50% lower in the 2006–2008 cohort (US$13 vs. US$26, P < 0.0001). See Table 4 for the cost of the first year of treatment and Table 5 for the cost of treatment per month alive and in care.
The first year utilization and prices of laboratory tests were lower in the 2006–2008 cohort. The cost of laboratory testing was US$78 in the 2006–2008 cohort and US$125 for the 2003–2004 cohort, a cost difference of US$47 (P < 0.0001). This decline was because of lower costs for some laboratory tests and less frequent testing for ART-associated toxicity and CD4 cell count for the 2006–2008 cohort.
Both cohorts had a mean number of 12 HIV visits during the first year of treatment. Total labor costs were higher in the 2006–2008 cohort (US$65 vs. US$58, P < 0.0001) because of a greater proportion of physician visits (instead of nurse visits). Even so, the 2006–2008 cohort had lower overhead costs (US$80 vs. US$99), as the costs of building maintenance and security, generator fuel, and storage of medications were divided by a larger patient population as the number of patients receiving HIV care at GHESKIO increased over time.
Utilization and Cost for the Second Year of Treatment
The mean cost for the second year of treatment was US$297 for the 2006–2008 cohort and US$752 for the 2003–2004 cohort, a difference of US$455 (P < 0.0001). This cost difference was larger than the first year of treatment (Table 4). The mean number of days in care for the second year was similar across cohorts (344 vs. 347 days, P = 0.5812).
ART costs for the second year of treatment were lower in the 2006–2008 cohort (US$143 vs. US$373, P < 0.0001). The total cost of laboratory testing for the 2006–2008 cohort was about one-fourth that of the 2003–2004 cohort (US$43 vs. US$180, P < 0.0001). The 2006–2008 cohort also had fewer HIV visits than the 2003–2004 cohort during the second year of treatment (7 vs. 12 visits). As a result, total labor costs were lower in the 2006–2008 cohort (US$31 vs. US$52, P < 0.0001). Overhead costs in the 2006–2008 cohort were reduced by over half, compared with the 2003–2004 cohort (US$45 vs. US$101, P < 0.0001) because of fewer visits and lower overhead costs per visit.
Cost of Treatment for the 2-Year Study Period
The mean total cost of treatment per patient for the 2-year study period was US$723 for the 2006–2008 cohort and US$1191 for the 2003–2004 cohort, a difference of US$468 (P < 0.0001). The cost per patient alive and in care at the end of the study period for the 2006–2008 cohort (US$786) was less than 50% that of the 2003–2004 cohort (US$1588).
The mean cost of ART per patient for the 2-year study period was US$293 in the 2006–2008 cohort and US$544 in the 2003–2004 cohort, a difference of US$251 (P < 0.0001). The total cost of laboratory testing per patient was US$118 for the 2006–2008 cohort and US$264 for the 2003–2004 cohort, a cost difference of US$146 (P < 0.0001). The mean number of HIV visits per patient was 19 in the 2006–2008 cohort and 22 in the 2003–2004 cohort (P < 0.0001), resulting in a lower total cost of labor. Overhead costs were also lower in the 2006–2008 cohort, compared with the 2003–2004 cohort (US$123 vs. US$177, P < 0.0001).
We conducted sensitivity analyses to evaluate the impact of differences in baseline variables on treatment costs. The baseline comparison showed that education, weight, and first-line ART regimen were all statistically significantly different (P < 0.05) across cohorts (Table 2); these variables were included in the multivariate analysis. The multivariate analysis using the generalized linear model showed that the total health system cost of treatment in the 2006–2008 cohort remained significantly lower than that in the 2003–2004 cohort in both the first and the second year with an adjusted difference in total treatment cost of US$196 [95% confidence interval (CI): US$154 to US$238; P < 0.0001] per patient for the first year and US$485 (95% CI: US$444 to US$527; P < 0.0001) per patient for the second year (Table 4); the adjusted difference per month alive and in care was US$29 (95% CI: US$25 to US$32; P < 0.0001) for the first year and US$42 (95% CI: US$38 to US$46; P < 0.0001) for the second year of treatment (Table 5). The CIs of the point estimates from the adjusted analyses on first and second year treatment costs and costs per month alive and in care cover the point estimates from the corresponding unadjusted analyses.
The use of HIV services has changed over time. Per-patient treatment costs have been reduced, and this has been associated with an improvement in treatment outcomes. Ninety-two percent of patients who initiated ART from 2006 to 2008 were alive and in care at 2 years after ART initiation, compared with 75% of those who initiated ART from 2003 to 2004. This outcome is comparable with those of GHESKIO patients enrolled in research studies and with those of the best academic centers in the United States.32 Though the 2006–2008 cohort had about 20% more days in care, the total cost of treatment for the 2-year study period was nearly 40% lower than the 2003–2004 cohort. The cost per patient alive and in care at the end of the study period in the 2006–2008 cohort was less than half that of the 2003–2004 cohort (US$786 vs. US$1588). The cost reductions were mainly due to lower ART prices, lower laboratory testing costs, and lower overhead costs because of fewer visits and lower overhead costs per visit.
The largest decrease in overall cost was due to the near 50% reduction in ART costs in the 2006–2008 cohort, compared with the 2003–2004 cohort. Our finding reflects the decreased purchase price for ART in other President's Emergency Plan for AIDS Relief programs.7 Even with these reductions, ART still comprised about 40% of the total cost of treatment in the 2006–2008 cohort. Further cost reductions are anticipated in the future through the use of alternative sources of raw materials, streamlining production, and innovations in product formulation.33
Reductions in costs for laboratory testing also contributed to the drop in treatment costs. Multiple studies have demonstrated that routine laboratory monitoring for ART-related toxicity has minimal clinical impact and is not cost effective.17–19 Others have demonstrated that reducing the frequency of CD4 cell monitoring can be cost saving, without reducing life expectancy.20 In response, the GHESKIO clinic protocol changed from routine monitoring for ART-related toxicity with chemistry and hematology panels every 6 months to testing only those patients with symptoms of toxicity; CD4 cell testing for clinically stable patients was reduced from every 6 months to annually.
Though viral load testing has been shown to improve long-term outcomes and to be cost effective for use in resource-poor settings, we conducted very few viral load tests because of lack of funding.20 Most other low-income countries also lack resources to regularly monitor viral load. Even though our outcomes in the 2006–2008 cohort are superior over the 2-year time horizon of our study, better long-term outcomes may result if viral load tests are performed. This would facilitate early identification and intervention for nonadherent patients and earlier detection of virologic failure.20,34,35
There were fewer ART visits during the second year of treatment in the 2006–2008 cohort. Some countries routinely see ART patients even less frequently, at quarterly or semiannual intervals.21,25 Task shifting from physicians to nurses and other providers would likely save additional resources without compromising patient outcomes.21–24 We did not have sufficient nurses to widely implement this strategy during the study period, but nurse training in Haiti is a high priority.36 A specialized program for nurses has been put in place at GHESKIO in collaboration with Quisqueya University, focusing on HIV, TB, and nutrition. At present, about 50% of HIV-infected patients are seen by nurses at GHESKIO, further reducing the care cost.36
We attribute our high rate of retention in care, in part, to the transportation subsidies provided to patients in both cohorts, which should continue despite fiscal constraints. Numerous studies have reported that transportation costs are a barrier to retention in care for patients on ART and that low-cost interventions can improve retention in ART care.37–39
This is the first study to report the change in patient-level HIV treatment outcomes and costs for the first 2 years of HIV treatment in a resource-poor setting. We found that factors such as lower ART prices, lower utilization of laboratory tests, and lower overhead costs with ART scale-up have resulted in a substantial decrease in the cost of HIV treatment, even though outcomes improved over time. Other studies have reported that rapid cost reductions in the first 1 to 2 years after the introduction of ART treatment in a clinic can occur if expenditures are monitored and program efficiency reviewed.9,13
Some sites have lowered costs beyond those we report from Haiti. Larson et al11 report HIV treatment costs of only about $US20 per month from 3 sites in Kenya. The ART regimen provided to the patients in the Kenyan study (stavudine/lamivudine/nevirapine) costs only US$28 per year but is associated with a high rate of toxicity.24 Using tenofovir in place of stavudine in the first-line regimen improves survival and is cost effective by international standards.40 Kenyan guidelines now recommend the use of tenofovir/lamivudine/efavirenz at a cost of approximately US$172 per year.11,26 The Kenyan sites also reported very low costs for laboratory testing, ranging from US$29 to US$36 per patient, with no radiology studies. One-year retention in care in the Kenyan studies (82%) is comparable with other resource-poor settings. A Nigerian costing study also reported very low laboratory costs of US$10 during the first year of ART, with no reported outcomes.4 Further study is needed to evaluate potential long-term consequences of these treatment strategies.
Our study had several limitations. It is a single-site study from a large urban clinic. It did not include the cost of hospitalization, though this was a minor cost in other GHESKIO studies.10,31 Although previous literature suggests that baseline demographics and treatment characteristics may affect both cost and outcomes, the adjusted results confirm the findings of the unadjusted analysis and indicate that differences in costs between the 2 cohorts remain irrespective of observed differences in ART regimen, education, and weight at baseline.4,10,41,42
In conclusion, we found that ART outcomes have improved over time while costs per patient have declined dramatically. Costing analyses were important in evaluating potential areas for cost savings. The major drivers in the reduction of treatment costs were the lower price of ART, lower costs for laboratory testing, and lower overhead costs.
The authors acknowledge Ms Erin Lee for her help with data collection and Dr Bruce Schackman for his invaluable leadership in the development of methods to conduct economic analyses at GHESKIO.
1. Global HIV/AIDS Response: Epidemic Update and Health Sector Progress Towards Universal Access. Geneva, Switzerland: World Health Organization; 2011.
3. El-Sadr WM, Holmes CB, Mugyenyi P, et al.. Scale-up of HIV treatment through PEPFAR: a historic public health achievement. J Acquir Immune Defic Syndr. 2012;60(suppl 3):S96–S104.
4. 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.
5. Beck EJ, Harling G, Gerbase S, et al.. The cost of treatment and care for people living with HIV infection: implications of published studies, 1999–2008. Curr Opin HIV AIDS. 2010;5:215–224.
6. Bratt JH, Torpey K, Kabaso M, et al.. Costs of HIV/AIDS outpatient services delivered through Zambian public health facilities. Trop Med Int Health. 2011;16:110–118.
7. Holmes CB, Coggin W, Jamieson D, et al.. Use of generic antiretroviral agents and cost savings in PEPFAR treatment programs. JAMA. 2010;304:313–320.
8. Holmes CB, Atun R, Avila C, et al.. Expanding the generation and use of economic and financial data to improve HIV program planning and efficiency: a global perspective. J Acquir Immune Defic Syndr. 2011;57(suppl 2):S104–S108.
9. Holmes CB, Blandford JM, Sangrujee N, et al.. PEPFAR's past and future efforts to cut costs, improve efficiency, and increase the impact of global HIV programs. Health Aff (Millwood). 2012;31:1553–1560.
10. Koenig SP, Riviere C, Leger P, et al.. The cost of antiretroviral therapy in Haiti. Cost Eff Resour Alloc. 2008;6:3.
11. Larson BA, Bii M, Henly-Thomas S, et al.. ART treatment costs and retention in care in Kenya: a cohort study in three rural outpatient clinics. J Int AIDS Soc. 2013;16:18026.
12. Martinson N, Mohapi L, Bakos D, et al.. Costs of providing care for HIV-infected adults in an urban HIV clinic in Soweto, South Africa. J Acquir Immune Defic Syndr. 2009;50:327–330.
13. Menzies NA, Berruti AA, Berzon R, et al.. The cost of providing comprehensive HIV treatment in PEPFAR-supported programs. AIDS. 2011;25:1753–1760.
14. Meyer-Rath G, Miners A, Santos AC, et al.. Cost and resource use of patients on antiretroviral therapy in the urban and semiurban public sectors of South Africa. J Acquir Immune Defic Syndr. 2012;61:e25–e32.
15. Rosen S, Long L, Sanne I. The outcomes and outpatient costs of different models of antiretroviral treatment delivery in South Africa. Trop Med Int Health. 2008;13:1005–1015.
16. Nglazi MD, Lawn SD, Kaplan R, et al.. Changes in programmatic outcomes during 7 years of scale-up at a community-based antiretroviral treatment service in South Africa. J Acquir Immune Defic Syndr. 2011;56:e1–e8.
17. Medina Lara A, Kigozi J, Amurwon J, et al.. Cost effectiveness analysis of clinically driven versus routine laboratory monitoring of antiretroviral therapy in Uganda and Zimbabwe. PLoS One. 2012;7:e33672.
18. Mugyenyi P, Walker AS, Hakim J, et al.. Routine versus clinically driven laboratory monitoring of HIV antiretroviral therapy in Africa (DART): a randomised non-inferiority trial. Lancet. 2010;375:123–131.
19. Koenig SP, Schackman BR, Riviere C, et al.. Clinical impact and cost of monitoring for asymptomatic laboratory abnormalities among patients receiving antiretroviral therapy in a resource-poor setting. Clin Infect Dis. 2010;51:600–608.
20. Hamers RL, Sawyer AW, Tuohy M, et al.. Cost-effectiveness of laboratory monitoring for management of HIV treatment in sub-Saharan Africa: a model-based analysis. AIDS. 2012;26:1663–1672.
21. Long L, Brennan A, Fox MP, et al.. Treatment outcomes and cost-effectiveness of shifting management of stable ART patients to nurses in South Africa: an observational cohort. PLoS Med. 2011;8:e1001055.
22. Brennan A, Long L, Maskew M, et al.. Outcomes of stable HIV-positive patients down-referred from doctor-managed ART clinics to nurse-managed primary health clinics for monitoring and treatment. AIDS. 2011;25:2027–2036.
23. Sanne I, Orrell C, Fox MP, et al.. Nurse versus doctor management of HIV-infected patients receiving antiretroviral therapy (CIPRA-SA): a randomised non-inferiority trial. Lancet. 2010;376:33–40.
24. Consolidated Guidelines on the Use of Antiretroviral Drugs for Treating and Preventing HIV Infection. Recommendations for a Public Health Approach. Geneva, Switzerland: World Health Organization; 2013.
25. National Guidelines for the Management of HIV and AIDS. National AIDS Control Programme, Third Edition, Government of Tanzania, 2009.
27. Monitoring, Evaluation, and Surveillance Interface. Haiti. Available at: http://www.mesi.ht
. Accessed August 28, 2013.
28. Drummond MF, Sculpher MJ, Torrance GW, et al.. Methods for the Economic Evaluation of Health Care Programs. 3rd ed. Oxford, United Kingdom: Oxford University Press; 2005.
30. International Dispensary Association Foundation. International dispensary association Foundation, 2013 association Foundation. 2009. Available at: http://www.ida.nl/
. Accessed April 13, 2013.
31. Koenig SP, Bang H, Severe P, et al.. Cost-effectiveness of early versus standard antiretroviral therapy in HIV-infected adults in Haiti. PLoS Med. 2011;8:e1001095.
32. Severe P, Juste MA, Ambroise A, et al.. Early versus standard antiretroviral therapy for HIV-infected adults in Haiti. N Engl J Med. 2010;363:257–265.
33. Crawford KW, Ripin DH, Levin AD, et al.. Optimising the manufacture, formulation, and dose of antiretroviral drugs for more cost-efficient delivery in resource-limited settings: a consensus statement. Lancet Infect Dis. 2012;12:550–560.
34. Ford N, Roberts T, Calmy A. Viral load monitoring in resource-limited settings: a medical and public health priority. AIDS. 2012;26:1719–1720.
35. Keiser O, Chi BH, Gsponer T, et al.. Outcomes of antiretroviral treatment in programmes with and without routine viral load monitoring in Southern Africa. AIDS. 2011;25:1761–1769.
37. Zachariah R, Harries AD, Manzi M, et al.. Acceptance of anti-retroviral therapy among patients infected with HIV and tuberculosis in rural Malawi is low and associated with cost of transport. PLoS One. 2006;1:e121.
38. Losina E, Toure H, Uhler LM, et al.. Cost-effectiveness of preventing loss to follow-up in HIV treatment programs: a Cote d'Ivoire appraisal. PLoS Med. 2009;6:e1000173.
39. Wasti SP, Simkhada P, Randall J, et al.. Factors influencing adherence to antiretroviral treatment in Nepal: a mixed-methods study. PLoS One. 2012;7:e35547.
40. Bender MA, Kumarasamy N, Mayer KH, et al.. Cost-effectiveness of tenofovir as first-line antiretroviral therapy in India. Clin Infect Dis. 2010;50:416–425.
41. Koenig SP, Rodriguez LA, Bartholomew C, et al.. Long-term antiretroviral treatment outcomes in seven countries in the Caribbean. J Acquir Immune Defic Syndr. 2012;59:e60–e71.
42. Severe P, Leger P, Charles M, et al.. Antiretroviral therapy in a thousand patients with AIDS in Haiti. N Engl J Med. 2005;353:2325–2334.
HIV; AIDS; cost; outcomes; antiretroviral therapy; Haiti
© 2014 by Lippincott Williams & Wilkins
Highlight selected keywords in the article text.