From 1995 to 2002, case detection of TB was comparable in the focus countries and control countries (Fig. 1D). During this time, the focus countries experienced a slow but steady increase in case detection, where the detection rate in the control countries stayed almost constant. After 2003, these trends continued, and from 2004 to 2010, case detection was higher in the focus countries than in the control countries (P < 0.03), although its rate of improvement had slowed. This slowing in the focus countries yielded a nearly significant 3-way interaction (P = 0.052). However, this finding was skewed by a very low rate of case detection in the focus countries in 1995. Repeating the analysis excluding 1995 showed that the PEPFAR effect on the slope was not significant (P = 0.46, data not shown).
The percentage of TB patients who successfully completed therapy showed a similar trend to that of TB case detection, with lower completion in focus countries before 2003 and higher completion after 2003 (Fig. 1E). The 3-way interaction was not significant.
Vaccinations (% of Children Aged 12–23 Months Who Received At Least 1 Dose)
The trends for all 4 vaccinations studied were similar (Fig. 2). From 1995 to 1999, control countries immunized significantly fewer children than focus countries. From 2000 to 2002, control countries improved their vaccination rates, where focus countries stayed roughly constant. After 2003, focus countries and control countries showed a similar rate of increase to each other, although progress was slower in the focus countries from 2004 to 2007 and then accelerated from 2008 to 2010. The focus countries therefore had a significantly larger increase in vaccination rate after PEPFAR implementation for 3 of the 4 vaccines (P < 0.05). However, excluding the years 1995–1999 eliminated this significance.
General Health Indicators
IMR and U5MR steadily decreased for both the focus and the control groups before and after the PEPFAR introduction (Fig. 3A,B). The rates of decrease were greater in the focus countries than in the control countries before 2003, and this gap widened further after 2003. Nevertheless, this acceleration after 2003 was not significant for either IMR or U5MR (P = 0.15 and 0.14, respectively).
Overall life expectancy in sub-Saharan Africa had been decreasing since the onset of the HIV epidemic in the 1980s and reached its nadir in 1996. In the control countries, life expectancy increased slowly from 1995 to 2002, and then the rate of increase doubled after 2003. In the focus countries, life expectancy did not start rising until 1998, showed a slow rate of increase until 2003, and then rose more sharply. The rate of increase in life expectancy accelerated significantly faster in the focus countries compared with the control countries after the PEPFAR introduction (P = 0.003) (Fig. 3C).
PEPFAR activities showed strong associations with improvements in proximal indicators of health systems strengthening, specifically TB indicators, and the distal indicator life expectancy. There were also nonsignificant associations with other distal indicators of health systems strengthening, namely IMR and U5MR. We also found surprisingly few quantitative indicators of health systems strengthening available to evaluate the effectiveness of PEPFAR.
PEPFAR Activities Showed Strong Associations With Improvements in Proximal Indicators of Health Systems Strengthening Directly Related to HIV
Because of the strong protective effect of ART on TB incidence,21 the association between PEPFAR and improvement in HIV indicators was expected. Few studies exist that evaluate the effectiveness of PEPFAR in improving proximal indicators of health systems. PEPFAR has previously been found to be associated with a decline in HIV and all-cause adult mortality,11,16 but there was no analysis of morbidity and mortality related to TB or other proximal indicators. One study comparing the fractional change in TB indicators from 2000 to 2006 found little to no effect on these health outcomes attributable to PEPFAR,22 but that analysis did not account for the differing time trends of these 2 periods nor did it include data after 2006. Accounting for pre- and post-PEPFAR time trends and the additional implementation and expansion of PEPFAR programs after 2006 may account for the differing results of the 2 analyses. We chose to compare time trends because these take into account pre-PEPFAR health trajectories in both sets of countries. Our study found strong and consistent associations between PEPFAR and improvements in TB indicators. TB prevalence, incidence, and mortality all declined sharply after the PEPFAR introduction in the focus countries while declining much more slowly or not at all in the control countries.
This study shows that PEPFAR activities have been associated with a strong impact on TB control. In 2004, the interim WHO policy on collaborative TB/HIV activities was published23; it was updated in 201224; PEPFAR and other GHIs have funded the activities and interventions specified in these guidelines. Since the PEPFAR introduction in 2004 approximately 4% of spending has been allocated to TB control activities,5 and this spending seems to be yielding clear results. However, given the interrelatedness of the TB and HIV co-epidemics, TB burden can improve for several other reasons: improved HIV control, increased case detection, increased therapy completion, a stronger health system, and others. Case detection and treatment success rate did improve in focus countries during PEPFAR activities, suggesting a contribution from the increased resources directed by PEPFAR at TB, but the magnitude of these improvements was not significant in our analysis. Additionally, the observed decline of TB in focus countries can be partially explained by the PEPFAR HIV control activities. Antiretroviral therapy improves the immune status of people infected with HIV, lowering their susceptibility to TB,25 thereby lowering TB incidence and mortality even without additional TB control measures. Furthermore, in addition to funding HIV care, PEPFAR has also directed resources to coordination with national TB programs, nongovernmental organizations, financial partners, and WHO,26 Coordination efforts include expanding coverage, monitoring of health facilities to ensure adherence to standards, and providing technical assistance for clinics in their efforts against both TB and HIV.26 Such activities contribute to a strengthened health system, and it seems likely that all played a role in the improvements in TB indicators seen since the initiation of PEPFAR.
PEPFAR Activities Showed Inconsistent Associations With Improvements in Distal Measurements of Health Systems Strengthening
Even fewer studies exist that evaluate the effectiveness of PEPFAR in improving distal indicators of health systems strengthening. The same study cited earlier, which compared the fractional change in health indicators from 2000 to 2006 attributable to PEPFAR, found little to no effect on the health outcomes of IMR, U5MR, childhood vaccinations, or life expectancy.22 Our analyses found some evidence that PEPFAR contributed to the improvement of these indicators, but the association was only significant for life expectancy.
Perhaps the best measures of health systems strength are infant and child mortality because these reflect overall success in caring for these most vulnerable members of a population. Before PEPFAR, infant and under-5 death rates in focus countries were already decreasing more quickly than in the control countries, likely because of greater wealth and better governance, and possibly other unmeasured factors. There was a greater acceleration in the number of infant and child deaths averted after the PEPFAR introduction in the focus countries compared with the control countries, suggesting that PEPFAR may indeed be strengthening the health system enough to produce desirable results, but this acceleration was not significant. Whether PEPFAR countries continue to improve child health faster in the coming years or whether the control countries begin to catch up remains an interesting open question. It is clear that at a minimum PEPFAR is not harming broader health system activities, which is both an important an encouraging finding. However, criticisms that donor organizations coordinate poorly with each other13 suggest that streamlining of the existing aid structure could lend further benefit to the IMR and U5MR trends observed here.
Although our analysis detects a possible contribution of PEPFAR to improved vaccination rates, this may be an artifact because of the low rates of vaccination in control countries from 1995 to 1999, causing the pre-PEPFAR slope in the control countries to be positive, where the focus countries was flat. From 2000 to 2010, vaccination rates were comparable for all 4 vaccines. There is thus no compelling evidence that PEPFAR has had an impact on vaccination rates but also no evidence that PEPFAR activities have diverted resources or attention away from other vital public health programs.
Finally, life expectancy presents another important measure of a country's overall health system. In sub-Saharan Africa, the health systems were disproportionately overwhelmed by the HIV epidemic in the 1980s and 1990s and life expectancy decreased accordingly. Now that HIV incidence and death rates are declining, life expectancy is increasing across the continent. In PEPFAR countries, where the gains have been greater against HIV, TB, and child mortality, life expectancy is increasing faster than in the control countries. We detected a sharp and significant increase in focus countries after the PEPFAR introduction in 2003, which is consistent with other recently published data16 and may imply positive effects on overall health systems strength. However, it is not possible to conclude this with certainty because causes of death cannot be differentiated.
Given all the above data, there is no evidence that PEPFAR is diverting vital resources from other public health activities and may indeed be having a beneficial effect on overall health systems strength.
This report has several limitations. First, collecting reliable TB data in Africa have been challenging, although the most recent revisions to the data sets in 2010 included an expert review to maximize their accuracy.7,28,29 Second, during the period analyzed, multiple other public health interventions were occurring contemporaneously. The most relevant of these potential confounders on HIV and TB indicators are the Global Fund2 and the Stop TB partnership.30 The Stop TB Partnership and the Global Fund began supporting TB treatment across Africa in 2001 and 2003, respectively, within 2 years of PEPFAR, and alongside these efforts many countries revamped their domestic TB control programs. Global Fund activities are not likely to have significantly skewed this study because the per capita disbursements by the Global Fund were similar between the focus and the control countries (see Table S1, Supplemental Digital Content, http://links.lww.com/QAI/A383). Other domestic (largely governmental public health activities) and international donor programs likely also played critical roles in the improvement of TB indicators; however, their funding was inconsistently reported to the WHO and therefore could not be accounted for in this analysis.7 Furthermore, even where such programs were not operating directly, there may be indirect carryover effects from surrounding programs in other countries and programs that impacted both PEPFAR and non-PEPFAR countries. Other important confounders include the effects of governance,31 preexisting health and health care status, and poverty. The small number of countries studied may have led to insufficient power to detect a difference when one exists. The short time interval since the beginning of PEPFAR implementation also may lead to a misclassification bias because of insufficient time for the program to have been fully implemented, and even if fully implemented, the time may have been too short for the program to have an effect. Furthermore, the data sources used are highly aggregated and undergo smoothing and reconciliation before publication. All these factors would tend to underestimate the impact of PEPFAR and thus support the findings in this study.
Perhaps the most important limitation of the study is the surprising lack of data on indicators of health systems strengthening currently available. We were only able to find 12 indicators reliably reported over the time period studied. Other resources may be available through the PEPFAR and GHI organizations (32–33), and additional sources may also exist that were missed in this analysis. Because of the importance of program evaluation in guiding future PEPFAR and other GHI interventions and expenditures, this is an extremely important finding of this study because programs cannot be evaluated if their performance cannot be measured. There is thus an urgent need for the collection and dissemination of more and better quality health systems data in Africa both in PEPFAR and in non-PEPFAR countries.
The progressive scale-up of PEPFAR-supported activities was associated with consistent improvements in proximal indicators of health systems strengthening such as TB morbidity and mortality. It may also have contributed to the improvement of distal indicators of health systems strengthening, such as IMR, U5MR, and life expectancy, although the associations were only significant for life expectancy. We found no evidence that the resources dedicated to HIV via PEPFAR have diverted resources from other vital public health programs. Improvements in governance, a remitting HIV epidemic, and increased international and country-specific health programs also contributed to the improvements in both proximal and distal indicators of health systems strengthening. Other health indicators that might have been analyzed for an impact by PEPFAR—from maternal health to malaria control to health workforce strength—could not be assessed because data were lacking for most African countries in most years. Fortunately, some of these data are beginning to be collected, and the push for an evidence basis for global health practice continues to increase. Still, global health efforts must further prioritize the collection of more comprehensive and reliable data sets on all the major health challenges of our time. Reliable sources of accurate data are essential to enabling evidence-based evaluations about the effectiveness of multi-billion dollar global health initiatives.
2. Global Fund. The Global Fund to Fight AIDS, Tuberculosis and Malaria: Who We Are [online]; 2012. Geneva, Switzerland: The Global Fund to Fight AIDS, Tuberculosis, and Malaria. Available at: http://www.theglobalfund.org/en/about/whoweare/
. Accessed November 24, 2012.
3. Spicer N, Aleshinka J, Biesma R, et al.. National and subnational HIV/AIDS coordination: and global health initiatives closing the gap between intent and practice. Global. Health 2010;6:3.
6. UNAIDS. UNAIDS Report on the Global AIDS Epidemic. New York: UNAIDS; 2010.
7. WHO. Global Tuberculosis Control 2011 [online].
8. U.S. rule on AIDS drugs criticized. Washington Post July 15, 2004, p. A12.
9. More war on AIDS. Washington Post June 3, 2007.
11. Bendavid E, Bhattacharya J. The President's Emergency Plan for AIDS Relief in Africa: an evaluation of outcomes. Ann Intern Med. 2009;150:688–695.
12. Kates J. Kaiser Family Foundation. The U.S. Global Health Initiative: Overview & Budget Analysis [online]; 2009. Menlo Park, CA: The Henry J. Kaiser Family Foundation. Available at: http://kff.org/globalhealth/upload/8009.pdf
. Accessed November 24, 2012.
13. Biesma RG, Brugha R, Harmer A, et al.. The effects of global health initiatives on country health systems: a review of the evidence from HIV/AIDS control. Health Policy Plan. 2009;244:239–252.
14. AVERT. President's Emergency Plan for AIDS Relief (PEPFAR
). [online]. West Sussex, United Kingdom: AVERT. Available at: www.avert.org/pepfar.htm
. Accessed November 24, 2012.
16. Bendavid E, Holmes C, Bhattacharya J, et al.. HIV development assistance and adult mortality in Africa. JAMA. 2012;307:2060–2067.
17. Cohn J, Russell A, Baker B, et al.. Using global health initiatives to strengthen health systems: a civil society perspective. Glob Public Health. 2011;6:687–702.
19. World Health Organization. WHO Global Health Observatory [online]; 2012. Washington, DC: WHO. Avaiable at: http://apps.who.int/ghodata/
. Accessed November 24, 2012.
20. United Nations Statistics Division. UNdata: A World of Information [online]; 2012. New York, NY: United Nations. Available at: http://data.un.org/Explorer.aspx?d=WHO
. Accessed November 24, 2012.
21. Badri M, Wilson D, Wood R. Effect of highly active antiretroviral therapy on incidence of tuberculosis in South Africa: a cohort study. Lancet. 2002;359:2059–2064.
22. Duber HC, Coates TJ, Szekeras G. Is there an association between PEPFAR
funding and improvement in national health indicators in Africa? A retrospective study. J Int AIDS Soc. 2010;13:21–29.
23. World Health Organization. Interim Policy on Collaborative TB
/HIV Activities. WHO Press: Geneva, Switzerland; 2004.
24. World Health Organization. WHO Policy on Collaborative TB
/HIV Activities. WHO Press: Geneva, Switzerland; 2012.
25. Corbett EL, Watt CJ, Walker N, et al.. The growing burden of tuberculosis: global trends and interactions with the HIV epidemic. Arch Intern Med. 2003;163:1009–1021.
26. Onozaki I, Raviglione M. Tuberculosis in the 21st century: goals and strategies. Respirology 2010;15:32–43.
27. Coggin WL, Ryan CA, Holmes CB. Role of the US President's Emergency Plan for AIDS Relief in responding to tuberculosis and HIV coinfection. Clin Inf Dis. 2010;50(suppl 3):S255–S259.
28. Dye C, Bassili A, Bierrenbach AL, et al.. Measuring tuberculosis burden, trends, and the impact of control programs. Lancet Infect Dis. 2008;8:233–243.
29. van der Werf M, Borgdorff M. Targets for tuberculosis control: how confident can we be about the data? Bull WHO 2007;85:370–377.
30. World Health Organization. The Global Plan to Stop TB
2011-2015: Transforming the Fight Towards Elimination of Tuberculosis. Geneva, Switzerland: WHO; 2010.
31. Rotberg R, Gisselquist R. Strengthening African Governance: Ibrahim Index of African Governance Results and Rankings 2008. Kennedy School of government, Harvard University. Cambridge, MA: Belfer Center; 2008.
32. Office of U.S. Global AIDS Coordinator. U.S. Global Health Initiative. [online]; 2012. Washington, DC: U.S. State Department. Available at: http://www.ghi.gov
. Accessed November 24, 2012.
33. U.S. State Department. The United States President's Emergency Plan for AIDS Relief. www.pepfar.gov
. Accessed 24 November 2012.
PEPFAR; health systems strengthening; TB; child mortality; infant mortality; life expectancy
Supplemental Digital Content
© 2013 Lippincott Williams & Wilkins, Inc.