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. 2014 Jan 28;9(1):e86225. doi: 10.1371/journal.pone.0086225

Economic Support to Patients in HIV and TB Grants in Rounds 7 and 10 from the Global Fund to Fight AIDS, Tuberculosis and Malaria

Linda M Richter 1,2,*, Knut Lönnroth 3, Chris Desmond 1,2, Robin Jackson 4, Ernesto Jaramillo 3, Diana Weil 3
Editor: Joan A Caylà5
PMCID: PMC3904874  PMID: 24489702

Abstract

People with TB and/or HIV frequently experience severe economic barriers to health care, including out-of-pocket expenses related to diagnosis and treatment, as well as indirect costs due to loss of income. These barriers can both aggravate economic hardship and prevent or delay diagnosis, treatment and successful outcome, leading to increased transmission, morbidity and mortality. WHO, UNAIDS and the ILO argue that economic support of various kinds is essential to enable vulnerable people to protect themselves from infection, avoid delayed diagnosis and treatment, overcome barriers to adherence, and avert destitution. This paper analyses successful country proposals to the Global Fund to Fight AIDS, Tuberculosis and Malaria that include economic support in Rounds 7 and 10; 36 and 20 HIV and TB grants in Round 7 and 32 and 26, respectively, in Round 10. Of these, up to 84 percent included direct or indirect economic support for beneficiaries, although the amount constituted a very small proportion of the total grant. In TB grants, the objectives of economic support were generally clearly stated, and focused on mechanisms to improve treatment uptake and adherence, and the case was most clearly made for MDR-TB patients. In HIV grants, the objectives were much broader in scope, including mitigation of adverse economic and social effects of HIV and its treatment on both patients and families. The analysis shows that economic support is on the radar for countries developing Global Fund proposals, and a wide range of economic support activities are in place. In order to move forward in this area, the wealth of country experience that exists needs to be collated, assessed and disseminated. In addition to trials, operational research and programme evaluations, more precise guidance to countries is needed to inform evidence-based decision about activities that are cost-effective, affordable and feasible.

Introduction

Economic support for patients serves a dual purpose: to help overcome economic barriers to use of health services [1], [2], [3], and to mitigate the financial burden of illness and care that can precipitate or worsen poverty [4], [5].

People with TB and/or HIV often experience severe economic barriers to health care in the face of high direct medical costs (consultations, drugs, diagnostics, hospitalization), as well as costs associated with transport, accommodation, food, substitute care, accompaniment and loss of income [6].

Most people who eventually start TB treatment manage to complete the treatment, but many do so at a very high price. A large proportion of patients end up in desperate financial situations as a consequence of both their inability to work due to illness, as well as direct and indirect costs of care and catastrophic borrowing to pay for care. The average total direct and indirect cost is often 10% or more [7], [8], [9] and can be as high as more than 100% of the annual household income [10]. Cost as a percentage of income is highest in poorer households [11], [12]. People with multidrug resistant tuberculosis, face even higher costs than those with drug-susceptible TB, due to longer and more complicated diagnosis and treatment, as well as more severe health conditions [13], [14].

Poor geographical and financial access to health services often prevent or delay health seeking among people with TB, especially the poorest [15]. Moreover, high direct and indirect cost of care constitute important determinants of poor treatment adherence, contributing to low cure rates and high risk of death among poor and vulnerable groups [16], [17]. While there are just a few trials on the impact of economic support on TB detection or treatment adherence, there is some evidence that such interventions, in combination with nutritional support, may improve MDR-TB treatment outcomes [18], [19], [20]. There is also evidence from settings that financial enablers or incentives can help improve uptake and adherence to treatment for latent TB [21], [22], [23].

Similarly, out-of-pocket expenses for the costs of treatment [24], as well as for transport and accommodation are known barriers for poor people to access HIV treatment and care [25], [26], [27], [28], even in middle-income countries [29]. These costs have been shown to affect the uptake of ARV treatment in Malawi [30] and to negatively impact ART adherence in Botswana, Brazil (both prior to free treatment), and Cameroon [31], [32], [33]. Attrition as a result of loss to follow-up is high in low and middle income countries [34], and fees for services (including for monitoring) and transport costs are related to lower retention [35]. Financial factors are also cited in studies of follow-up in prevention-of-mother-to-child-transmission programs [36]. Cost for patients of HIV treatment is estimated to correspond to 100% or more of annual income in China, Cote d'Ivoire, Indonesia, South Africa, Tanzania and Thailand [37], [38], [39]. Although there is little published research on economic support and treatment, improved uptake of HIV testing and treatment and improved treatment outcomes have been reported in respect of a number of social protection interventions, such as cash transfers [40], and food support [41].

Delayed, interrupted and incomplete treatment, in this case of both HIV and TB, not only poses a serious risk to individual health, but also increases the disease risk to others in the household and beyond [21]. Moreover, catastrophic cost of illness in itself increases vulnerability of household members. For poor households, a cost burden around 10% of annual income for medical care is calculated to lead to cuts in consumption, sale of assets, and debt that is likely to result in further impoverishment with the threat of destitution [39]. Household strategies to manage out-of-pocket medical costs threaten their future health and wellbeing. For example, diminished food intake, through subsequent malnutrition, can increase the risk of TB disease amongst those infected [42], [43].

WHO [44], UNAIDS [45], ILO [46] and others argue strongly that transfers and additional forms of social protection are essential to enable vulnerable people to protect themselves from infection, increase access to diagnosis and treatment, improve adherence to treatment, and prevent destitution. However, the extent of inclusion of such interventions in disease programmes, such as those for TB and HIV, is poorly documented. Several programs - including some financed by the Global Fund to Fight AIDS, Tuberculosis and Malaria – are providing economic support in a variety of forms, from cash transfers for poverty alleviation to transport reimbursement and meals provided to enable and incentivise attendance at health facilities for care.

In this paper, we analyse Rounds 7 and 10 HIV and TB grants from the Global Fund to Fight AIDS, Tuberculosis and Malaria (the Global Fund). We identify funded programs and describe the stated rationale for, and extent and nature of these efforts. For those with sufficient information, we calculate the number of individuals benefitting from economic support, the proportion of the total budget and the annual US$ per person benefit.

Methods

Two rounds of country proposals to the Global Fund for HIV and TB grants approved by the Technical Review Panel for funding were examined to determine if they include economic support to address barriers to prevention, treatment and care and support. Proposals submitted for HIV and TB support in Round 10 (year 2010) provide an indication of recognition within country, in recent years, of the perceived importance of providing economic support to success of their disease programme, but do not indicate the actual amount allocated through grant negotiations to economic support, nor achieved expenditure in the first two years of the grant. For this reason, Round 7 TB and HIV grants (year 2007) were also examined to determine not only what was included in proposals, but also how much of the budget for economic support was spent at the end of the first phase of the grant. The emphasis in this analysis is on Round 10 (tables included), with Round 7 included for comparison (suggested to be included as web material).

From an initial review of grant documents in Rounds 7 and 10, we distinguished three forms of economic support that could be reliably coded.

  1. Direct Economic Assistance. These are direct transfers of money, such as cash paid as part of a social security system or a program incentive, transport reimbursements, treatment allowances, and the like that are paid directly to affected individuals.

  2. Indirect Economic Assistance. These are indirect transfers through, for example, food parcels, food or travel vouchers, and payment of health insurance for individuals, households or families. This indirect assistance provides some relief to the household for necessary expenditure on these items, and thus may free up resources for other categories of household consumption. Some forms of indirect assistance may also be converted into cash, even if inefficiently; for example, food parcel items may be sold to pay for transport.

  3. Enterprise Assistance. This includes training programmes or microcredit that aim to assist individuals or families to generate income. However, the benefits which accrue to the individual or household are not quantifiable at the time of award because the realization of economic returns is dependent on factors beyond the intervention and occurs at a later point in time.

Reimbursements or payments for peer counsellors or ‘expert patients’ [49] were excluded, as were incentives paid to health service staff. Legal aid, advocacy, patient charters and other activities that could not, on the face of it, be readily translated into an economic benefit for an individual or household were also excluded.

For Round 10, the proposal narrative and the Year 1 budget was analysed and, where possible, converted to US$ dollar per person per annum direct or indirect benefit. For Round 7, the original proposal, the program grant agreement, the grant performance report and the grant score card were analysed to determine activities and budget allocations at the end of the second year of implementation of the grant.

There were challenges to coding in all narratives assessed: when it was not clear if the same or different individuals are covered in a time period, how activities are spread over time;how units (for example, nutrition supplements) are allocated to individuals, and whether all operational details of providing economic support were included in the proposalWhen a budget line contained activities that qualify as a form of economic support, together with activities that do not, we split the budget equally between the activities as has been done in previous analyses of Global Fund grants [50]. Where budgets were submitted in Euros, conversion to US dollars was made at the exchange rate pertaining on 20 August 2010, the deadline for submission, in the case of Round 10 proposals ($1.28), and on 4 July 2007 for Round 7 ($1.36).

Proposals were also analysed with respect to: 1) the stated rationale for the intervention (income assistance, income generation, promote treatment adherence, poverty relief etc); 2) to whom the assistance is targeted (an individual, household or specified group); 3) the monetary value of a unit of the assistance; 4) the number of individuals or households targeted; and 5) the proportion of the total grant budgeted for economic support.

All Global Fund documents are publicly accessible off the Global Fund home page (www.globalfund.org).

Results

The results from Round 10 are presented Tables 1 and 2 for HIV and TB grants, respectively. Results from Round 7 are available in support material on the web (Tables S1 and S2). Table 3 summarises the proportion of direct, indirect and enterprise economic assistance in Rounds 7 and 10 for HIV and TB.

Table 1. Round 10 HIV proposals that included direct and indirect forms of economic support (Year 1).

Country Type of support Description Rationale Target group No of people, units Total Y1 budget ($US) Budget PB/PA ($US) Portion of total budget (%)
Burkina Faso Indirect Nutrition as treatment Increase adherence and effectiveness of treatment PLWHA 3 223 57 660 18 0.2
Burkina Faso Indirect Health costs Reduce economic impact of HIV on PLWHA and their families OVC 1 500 22 867 15 0.2
Burkina Faso Indirect Nutrition support Reduce economic impact of HIV on PLWHA and their families OVC, Families 1 500 45 735 30 0.3
Burkina Faso Indirect School and training support Reduce economic impact of HIV on PLWHA and their families OVC 23 000 670 776 29 3.4
Cameroon Indirect Food support in PMTCT - Children 6 917 80 670 12 0.6
Cameroon Indirect Nutrition support Reduce negative economic impact, equitable access OVC 20 000 194 569 10 1
Cameroon Indirect Education support Reduce negative economic impact, equitable access OVC 20 000 389 120 19 2
Eritrea Indirect Nutrition as treatment Improve adherence, reduce burden of care PLWHA 3 500 525 000 150 8
Eritrea Enterprise Vocational training Reduce HIV transmission & sex worker vulnerability SW 150 216 750 1 445 3
Guinea Indirect Food supplement - CLWHA 200 51 318 256 2
Guinea Indirect Therapeutic nutrition - PLWHA 236 14 300 50 0.3
Guinea Indirect Food support - PLWHA 200 10 000 50 0.2
Guinea Indirect School assistance Prevention, as part of holistic treatment OVC 1000 50 000 50 1
Guinea Enterprise Income generating activities Prevention, as part of holistic treatment PLWHA 100 100 000 1 000 1.6
Guinea Enterprise Job retraining Prevention, as part of holistic treatment PLWHA 200 12 000 50 0.2
Kenya Indirect Nutrition as treatment Enhance treatment effectiveness. Survival support PLWHA 137 300 811 720 23 0.2
Kenya Indirect Nutrition as treatment Enhance treatment effectiveness. Survival support PLWHA 65 900 480 912 27 0.1
Kenya Indirect OVC nutrition support Reduce economic impact on affected groups OVC 1 500 45 735 30 0.3
Kenya Indirect OVC education Reduce economic impact on affected groups OVC 23 000 670 733 36 3
Kyrgyzstan Indirect Food, hygiene packages - OVC 50 15 000 300 0.3
Kyrgyzstan Indirect Support package - PLWHA, Children - 1 600 - 0.3
Kyrgyzstan Indirect Food packages Motivation IDUs, PLWHA 130 13 000 100 0.3
Kyrgyzstan Indirect Food packages - IDUs, PLWHA - 6 000 - 0.1
Macedonia Indirect Provision of food - Homeless IDUs - 125 - 0.01
Macedonia Enterprise IGA Creative worshops - IDUs - 2 400 - 0.01
Macedonia Enterprise Vocational training Allow MARPs to compete for job, re-integration MARPS 20 5 120 200 0.3
Malaysia Indirect Food, transport Incentive IDUs 104 21 376 187 1
Malaysia Indirect Food, transport Incentive SWs 132 24 750 187 1
Morocco Indirect Solidarity food baskets Quality treatment, preservation of human rights PLWHA 67 25 093 375 0.4
Morocco Indirect Transport costs Quality treatment, preservation of human rights PLWHA 90 6 750 75 0.1
Morocco Indirect Transport costs Quality treatment, preservation of human rights CLWHA, Families 40 3 000 75 0.05
Morocco Indirect School supplies Quality treatment, preservation of human rights CLWHA 20 1 250 62 0.02
Morocco Enterprise Income Generating Activities Quality treatment, preservation of human rights PLWHA - - - -
Multi –Country Americas (REDCA) Direct Educational incentives - Transsexuals 3 720 167 400 46 8
Multicountry East Asia And Pacific (APN) Indirect Transport Enable treatment access PLWHA 100 2 100 21 0.1
APN+ Indirect Nutrition, medicine support Enable treatment access PLWHA 100 3 600 36 0.1
APN+ Indirect Transport Enable treatment access PLWHA 267 12 816 48 0.3
APN+ Indirect University education Strengthen capacity of APN+ network PLWHA 10 151 500 15150 2.5
APN+ Indirect Short courses Strengthen capacity of APN+ network PLWHA 40 80 000 2 000 1
Nepal Direct Food subsidy Reduce vulnerability to HIV FSWs 480 9 864 21 0.1
Nepal Direct Food subsidy Reduce vulnerability to HIV MSM 720 14 796 21 0.2
Nepal Direct Cash transfer Reduce economic and social vulnerability OVC, Families 100 6 164 62 0.6
Nepal Enterprise Livelihood training Reduce economic and social vulnerability OVC 100 13 500 135 0.3
Peru Enterprise Micro-enterprise, training - Transsexuals - 13 734 - 0.5
Peru Indirect Secondary education grant - Transsexuals 80 57 600 360 1
Peru Indirect Technical degree grant - Transsexuals 40 200 000 170 4
Sao Tome Indirect School support orphans Improve quality of life OVC 40 14 400 360 2
Sao Tome Indirect Food supply for orphans Improve quality of life and reduce mortal OVC 40 5 760 144 4
Sao Tome Indirect Infant formula Reduce child mortality Children 30 209 20 6
Sudan (North) Enterprise Income Generating Activities Empowerment, enabling environment PLWHA - 50 000 - 0.4
Syria Enterprise Income Generating Activities Less vulnerable to sexual violence, infection Sex Workers - 6 250 - 0.1
Timor Leste Direct Transport assistance - MSM 180 360 2 0.01
Timor Leste Direct Transport assistance - SWs 204 408 2 0.01
Thailand Direct Grants for income generation Increase household economic capacity, improve acceptance OVC, Families 1 674 104 625 62 1.4
Thailand Direct Cash grants Increase household economic capacity, improve acceptance PLWHA, Families 335 15 703 187 1.4
Ukraine Indirect Transport, food, incentives Support for patients MSM, Children 2 000 2 099 1.05 -
Vietnam Indirect Educational support Equal educational opportunities Children, MARPS 103 11 000 100 0.0
Vietnam Indirect Nutritional support - PLWHA 900 108 000 120 0.5
Vietnam Indirect Nutritional support - PLWHA 50 500 10 <0.01
Zambia Indirect Nutritional supplements Improve effectiveness of ART. Safety net. CLWHA 2370 53 236 22 0.1
TOTAL 333 129 5 613 753 6

APN+  =  Multi-country East Asia and Pacific; CLWHA  =  Children Living with HIV and AIDS; IDUs  =  Injecting Drug Users; MARPS  =  Most At Risk Populations; MSM  =  Men Who Have Sex With Men; OVC  =  Orphans and Vulnerable Children; PLWHA  =  People Living with HIV and AIDS; SW  =  Sex Workers.

Table 2. Round 10 TB proposals in Round 10 that included direct and indirect forms of economic support (Year 1).

Country Type of support Description Rationale Target group No of people, units Year 1 budget (US$) Budget per beneficiary (US$) Portion of total grant budget
Armenia Direct and indirect Nutrition package and transport allowance Promote treatment adherence Patients, families 240 122030 508 5.0%
Bangladesh Direct and indirect Food package, travel vouchers, and cash-transfer Not clear Patients 1845 228766 124 0.9%
Colombia Indirect Food package Promote treatment adherence Patients 1200 20000 17 0.7%
Djibouti Indirect Food package Promote diagnosis, treatment adherence Patients 5313 105960 20 6.0%
Eritrea Indirect Food package, transport voucher and detergents for MDR patients Promote treatment adherence Patients 20 10667 533 0.2%
Ghana Not clear Enablers, not specified Promote treatment adherence Patients 19000 493600 26 2.0%
Honduras Indirect Food package and transport support Promote treatment adherence Patients 240 69300 289 2.2%
Indonesia Indirect Food package Not clear Patients NA NA NA NA
Jordan Direct and indirect Food package and travel reimbursements Promote treatment adherence Patients 200 60000 300 10.0%
Lao PDR Indirect Food package Promote treatment adherence Patients 4034 168800 42 0.3%
Macedonia Indirect Food package and transport voucher Promote treatment adherence Patients 250 38400 154 3.0%
Mongolia Direct, indirect and enterprise Food package, food allowance and occupational training Promote treatment adherence Patients 110 78750 716
Namibia Indirect Transport assistance for MDR-TB patients Not clear Patients 300 7500 25 0.1%
Niger Indirect and Enterprise Food package, income generating fund Promote treatment adherence Patients 5118 463438 91 10.1%
Russian Federation Direct and indirect Food package and transport reimbursements, MDR-TB patients Promote treatment adherence Patients 242570 2097294 10 8.0%
Senegal Indirect Food package for MDR-TB patients Not clear Patients 107 30852 288 0.5%
Somalia Direct and indirect Travel allowance and live stock to MDR-TB patients Promote treatment adherence and poverty alleviation Patients 88 29200 332 6.2%
Swaziland Indirect Food package and transport assistance for MDR-TB patients Promote treatment adherence, poverty alleviation Patients 375 93648 250 0.7%
Uganda Direct and indirect Food vouchers and transport refund for MDR-TB patients Promote treatment adherence Patients 200 165000 825 2.9%
TOTAL 280970 4161175 17

Table 3. Direct, indirect and enterprise economic support activities in Rounds 7 and 10 grants for HIV and TB.

Economic Support TB and HIV Rounds 7 and 10
TB Round 7 (21 activities) TB Round 10 (38 activities) HIV Round 7 (41 activities) HIV Round 10 (59 activities)
Direct 3 (14%) 7 (18%) 6 (15%) 8 (14%)
Indirect 13 (62%) 27 (71%) 24 (59%) 41 (69%)
Enterprise 5 (24%) 3 (8%) 11 (27%) 10 (17%)

There were 32 and 26 approved HIV and TB proposals, respectively, including cross-cutting proposals in Round 10, of which 21 HIV (66%) and 19 (73%) TB proposals included either direct or indirect economic support for beneficiaries.

For HIV, it was estimated that more than 333 000 affected people would benefit from economic support in the first year of the five-year proposals. The estimated number of beneficiaries is probably an underestimate, as individuals could not always be tallied from activities targeted at groups or organizations. The total value of economic support was $US5.6 m.This is equivalent to an average $US17 per person per annum. The percentage of HIV grants budgeted for economic support ranged from less than 0.01% to 8%.

Approved TB grants from this round included benefits in the first year of the grant for close to 240 000 people with a value of US$4.3 m, equivalent to average US$15 per person per annum. The percentage of TB grants budgeted for economic support range from 0.1% to 10%.

In Round 7, 26 of 36 HIV proposals (72%) and 18 of 20 TB proposals (84%) included economic support for patients and other affected people (data in web material). The proportion of the proposed or actual grant budget allocated to direct, indirect or enterprise assistance was less than 1% in most grants in Round 7.

With respect to economic support as defined in this analysis, a higher proportion of TB as compared to HIV proposals included economic support. The language in TB documents was also more standardised than those for HIV. All TB proposals in both Rounds listed TB patients as target groups for economic support. Seven (39% of TB grants) targeted economic support only to multi-drug resistant TB, while the rest targeted both patients with drug-resistant and patients with drug-susceptible TB. There was also a consistent rationale for providing economic support TB grants. In most cases it was stated as encouraging initiation and adherence to treatment, and generally took the form of food or transport support as incentives or enablers. Only in a few cases was economic support also provided for either socioeconomic rehabilitation of treated TB patients or to lessen the economic burden of illness on families.

Economic support in HIV proposals has a wider scope and therefore less standardised terminology. In Round 10, 10 of the 21 approved HIV proposals targeted Persons Living with HIV or AIDS (PLWHA, adults and/or children), 9 targeted Orphans and Vulnerable Children (OVC) and 9 targeted Most at Risk Populations (MARPs) or key populations. In the latter category, 5 grants targeted sex workers, 3 targeted Men who have Sex with Men (MSM), 2 Injecting Drug Users (IDUs) and 2 transsexuals. In two proposals, the economic support was proposed for the children of key populations. A slightly different pattern was found in Round 7 grants, indicating that support for key populations increased from Round 7 to 10 in line with the Global Fund's 2009 strategy for Sexual Orientation and Gender Identity (SOGI); 19 of the 26 Round 7 grants targeted PLHWA, adults and/or children), 8 targeted OVC and only 2 grants (both from Afghanistan) targeted key populations and the children of key populations. Children and families are frequently targeted in HIV grants – of 58 instances of Round 10 transfers, 27 (47%) included children and families, and in Round 7, 71% included children and families. In contrast, no TB grants in Round 10 included children and families, and only 2 of 21 transfer types in Round 7.

Of 59 distinct economic support activities in HIV and TB grants in Round 10, close to half (n = 27) involved food and nutrition, 16 income generation and 8 education. A similar distribution of support was found in Round 7 proposals.

In TB grants, food and nutrition support was consistently related to treatment objectives, particularly adherence and treatment, whereas in HIV grants it was more frequently related to socioeconomic vulnerability associated with HIV and AIDS. Food and nutrition was seldom justified by treatment initiation, adherence or treatment outcomes in HIV grants.

Most economic support was indirect. The overall proportion of direct, indirect and enterprise economic support was the same across the two diseases, but TB and HIV grants differ with respect to the nature of direct and indirect economic support provided. In TB grants, direct support takes the form of cash for food and transport. In HIV grants it also includes cash transfers to households caring for vulnerable children. All indirect economic support for TB was for food and/or for transport. For HIV, in contrast, indirect support also included maternity benefits, further education for members of a network of HIV-positive people to strengthen its capacity, and health insurance for vulnerable children. In both HIV and TB grants, enterprise support consisted principally of vocational training, micro-enterprise and other forms of assistance aimed at self-sufficient livelihoods and income-generation.

Discussion

This analysis indicates that many countries are aware of the economic burden on patients and include financial and material support in their Global Fund grants in an attempt to mitigate these effects. This was not skewed to a particular region; most countries in all regions that submitted Global Fund TB and HIV proposals in Rounds 7 and 10 requested some funds for economic support to patients. Although the amount allocated for such support constituted a very small part of the total grant budgets, and the budget per beneficiary was relatively small, these contributions are likely to be important for vulnerable patients and households. Economic support is likely to be especially appreciated when out-of-pocket expenses are needed to compensate for infrastructuraldeficiencies for which governments are responsible, such as long distances to health services and lack of transport.

Economic support in TB grants tends to be more standardised and linked more directly to patient treatment and adherence than in HIV grants. This trend can be explained by the guidance provided in the Global Fund TB and Human Rights Information Note, which explicitly comments on the value of economic support to overcome access barriers, whereas the HIV and Human Rights Information Note does not. In contrast, the HIV and Human Rights Guidance Note emphasises social exclusion, marginalization, criminalization, stigma and inequity as major barriers to service uptake (http://www.theglobalfund.org/en/accesstofunding/notes/). HIV proposals highlight more clearly than TB grants the risk of destitution associated with disease, caused by losses of livelihoods and income. This does not mean that social and economic factors do not feature prominently in the vulnerability to and consequences of TB [42]. However, in Global Fund grants there seems to be more emphasis on using economic support as a means to enhance access and adherence to TB treatment than for mitigation of catastrophic costs related to illness.

There is some previously published evidence that economic support in the form of enablers, incentives and reimbursements can improve TB and HIV service uptake and adherence to treatment [21], [22], [23], [40], [41], [47]. However, the data on what type of incentives and enablers are more effective and cost-effective is weak and inconsistent. Economic support as a means to compensate or mitigate catastrophic costs has direct effects on the household economic situation, as shown in other health areas [40], though opportunity costs and potential perverse effects need be further analyzed. The grantees of the Global Fund seem to be ideal programmes where such analysis could be conducted, with the ultimate purpose of contributing to build evidence for global policy update. For this, detailed in-country and in-programme evaluations are needed to assess the effectiveness of different forms of operationalization.

Most forms of economic support financed by the Global Fund are indirect. Experience in poverty alleviation and food security has demonstrated that cash transfers can be more economically efficient than in-kind transfers in many settings. Cash is preferred by beneficiaries because it gives them the freedom to pay for or buy what they most need [48]. More programs involving cash (conditional or non-conditional) plus other indirect transfers need to be analysed to determine which combinations of transfers are most effective for TB and HIV, for different components of programmes – prevention, treatment, mitigation – and in different settings.

Conclusions

A large proportion of Global Fund grants for TB and HIV in Rounds 7 and 10 included an element of economic support, even though the amount constitutes a very small proportion of the total grant. The amounts allocated are not commensurate with the predicted financial burden of TB or HIV on affected households. This suggests that, while countries are aware of the added value of economic support in TB and HIV care and prevention, there remains a gap of considerable burden on poor patients. In TB grants, the objectives of economic support were generally consistently stated, and focused on mechanisms to improve treatment uptake and adherence, and the case is most clearly made for MDR-TB patients. In HIV grants, the objectives were much broader in scope, including mitigation of adverse economic and other social effects of HIV and its treatment. This probably reflects the different rationale for TB and HIV support. In the former, the aim is to achieve a cure for both individual and public benefit, whereas for HIV there are considerations of long-term welfare assistance.

This analysis could not examine critical concerns with respect to the operationalization, design, management, monitoring or evaluation processes pursued for these interventions. In addition, further information is needed on whether and the extent to which the funds were used for the proposed interventions. Lastly, the available documentation does not enable an assessment of what proportion of economic support interventions were created specifically under the grants and fully funded by the Global Fund, and what proportion is or could be sustained under larger national schemes, such as social protection mechanisms involving cash transfers, or food and transport subsidies.

Nonetheless, the review, the first of its kind with respect to funds for economic support for country programmes, demonstrates that economic support is on the radar. The is also increasing interest for countries developing Global Fund proposals, and a wide range of activities are already in place. However, the rationale and evidence base for the activities are rarely well-established, nor have variations in operational features been tested. In order to move forward in this area, the wealth of country experience that exists must be collated, assessed and disseminated. Randomised control trials are needed, as is operational research and programme evaluations to assess the need and optimal format for, and the impact of, economic support in TB and HIV prevention, treatment and care. More guidance for countries is needed to inform evidence-based decisions about activities that are cost-effective, affordable, feasible, sustainable and responsive to the expressed needs of the persons served.

Supporting Information

Table S1

Round 7 HIV grants that included direct and indirect forms of economic support in Phase 1 (first two years).

(DOCX)

Table S2

Round 7 TB grants that included direct and indirect forms of economic support in Phase 1 (first two years).

(DOCX)

Acknowledgments

Amira Abulafi and Camilla Labate, interns at the Global Fund to Fight AIDS, Tuberculosis and Malaria during 2011, who assisted with analysis; and Mary Ann Lansang, formerly at the Global Fund, for her comments on an early draft of the paper.

Funding Statement

The Swedish International Development Cooperation Agency (SIDA), through HelpAge International, funded Linda Richter's secondment to the Global Fund from June 2010 to July 2012. The World Health Organization and the Global Fund provided support for the interns who worked on the project. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Burström B (2009) Market-oriented, demand-driven health care reforms and equity in health and health care utilization in Sweden. Int J Health Serv 39:, 271–285. [DOI] [PubMed]
  • 2. Peters D, Garg A, Bloom G, Walker D, Brieger W, et al. (2007) Poverty and access to health care in developing countries. Ann NY Acad 1136: 161–171. [DOI] [PubMed] [Google Scholar]
  • 3. Qian D, Pong R, Yin A, Nagarajan K, Meng Q (2009) Determinants of health care demand in poor, rural China: The case of Gansu Province. Health Polic Plann 24: 2324–334. [DOI] [PubMed] [Google Scholar]
  • 4. Marmot M (2005) Social determinants of health inequalities. Lancet 365: 1099–1104. [DOI] [PubMed] [Google Scholar]
  • 5. Van Doorslaer E, O'Donnell O, Rannan-Eliya R, Somanathan A, Adhikari S, et al. (2006) Effect of payments for health care on poverty estimates in 11 countries in Asia: An analysis of household survey data. Lancet 368: 1357–1364. [DOI] [PubMed] [Google Scholar]
  • 6. Ukwaja K, Modebe O, Igwenyi C, Alobu I (2012) The economic burden of tuberculosis care for patients and households in Africa: A systematic review. Int J Tuberc Lung Dis 16: 733–739. [DOI] [PubMed] [Google Scholar]
  • 7. Kamolratanakul P, Sawert H, Kongsin S, Lertmaharit S, Sriwongsa J, et al. (2000) Economic impact of tuberculosis at the household level. Int J Tuberc Lund Dis 3: 596–602. [PubMed] [Google Scholar]
  • 8. Muniyandi M, Ramachandran R, Balasubramanian R (2005) Costs to patients with tuberculosis treated under DOTS programme. Indian J of Tub 52: 188–196. [Google Scholar]
  • 9. Mauch V, Bonsu F, Gyapong M, Suarez P, Marcelino B, et al. (2012) Free TB diagnosis and treatment are not enough – Patient cost evidence from three continents. Int J Tuberc Lung Dis 7: 381–387. [DOI] [PubMed] [Google Scholar]
  • 10. Jackson S, Sleigh AC, Wang G-J, Liu X-L (2006) Poverty and the economic effects of TB in rural China. Int J Tuberc Lung Dis 10: 1104–1110. [PubMed] [Google Scholar]
  • 11. Lönnroth K, Aung T, Maung W, Kluge H, Uplekar M (2007) Social franchising of TB care through private GPs in Myanmar: An assessment of treatment results, access, equity and financial protection. Health Polic Plann 22: 156–166. [DOI] [PubMed] [Google Scholar]
  • 12. Pantoja A, Floyd K, Unnikrishnan K, Jitendra R, Padma M, et al. (2009) Economic valuation of public-private mix for tuberculosis care and control, India. Part I. Socio-economic profile and costs among tuberculosis patients. Int J Tuberc Lung Dis 13: 698–704. [PubMed] [Google Scholar]
  • 13. Rouzier VA, Oxlade O, Verduga R, Gresely L, Mezies D (2010) Patient and family costs associated with tuberculosis, including multidrug-resistant tuberculosis in Ecuador. Int J Tuberc Lung Dis 14: 1316–1322. [PubMed] [Google Scholar]
  • 14. Pichenda K, Nakamura K, Morita A, Kizuki M, Seino K, et al. (2012) Non-hospital DOT and early diagnosis of tuberculosis reduce costs while achieving treatment success. Int J Tuberc Lung Dis 16: 828–834. [DOI] [PubMed] [Google Scholar]
  • 15.Storla D, Yimer S, Bjune G (2008) A systematic review of delay in the diagnosis and treatment of tuberculosis. 8, 15. doi:10.1186/1471-2458-8-15. [DOI] [PMC free article] [PubMed]
  • 16.Munro S, Lewin S, Smith H, Engel M, Fretheim A, Volmink J (2007) Patient adherence to tuberculosis treatment: A systematic review of qualitative research. PLoS Med 4: doi:10.1371/journal.pmed.0040238. [DOI] [PMC free article] [PubMed]
  • 17. Waitt C, Squire S (2011) A systematic review of risk factors for death in adults during and after tuberculosis treatment. Int J Tuberc Lung Dis 15: 871–885. [DOI] [PubMed] [Google Scholar]
  • 18.Lutge E, Wiysonge C, Knight S, Volmink J (2012) Material incentive and enablers in the management of tuberculosis. Cochrane Database Systematic Review, 1, CD007952. [DOI] [PubMed]
  • 19. Lutge E, Lewin S, Volmink J, Friedman I, Lombard C (2013) Economic support to improve tuberculosis treatment outcomes in South Africa: A pragmatic cluster randomized control trial. Trials 14: 154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Toczek A, Cox H, du Cros P, Cooke G, Ford N (2013) Strategies for reducing treatment default in drug-resistant tuberculosis: Systematic review and meta-analysis. Int J Tuberc Lung Dis 17: 299–307. [DOI] [PubMed] [Google Scholar]
  • 21.Volmink J,Garner P (2000) Interventions for promoting adherence to tuberculosis management. Cochrane Database of Systematic Reviews, 2, CD000010. [DOI] [PubMed]
  • 22. Hirsch-Moverman Y, Daftary A, Franks J, Colson P (2008) Adherence to treatment for latent tuberculosis infection: Systematic review of studies in the US and Canada. Int J Tuberc Lung Dis 12: 1235–1254. [PubMed] [Google Scholar]
  • 23.Beith A, Eichler R, Weil D (2009) Worldwide: Incentives for tuberculosis diagnosis and treatment. In Eichler R, Levine R and the Performance-Based Incentives working Group, editors. Performance incentives for global health: Potential and pitfalls. Washington DC: Center for Global Development. 237–256.
  • 24. Msellati P, Juillet-Amari A, Prudhomme J, Akribi H, Coulibaly-Traore D, et al. (2003) Socioeconomic and health characteristics of HIV-infected patients seeking care in relation to access to the Drug Access Initiative and to antiretroviral treatment in Cote d'Ivoire. AIDS 17: S63–68. [DOI] [PubMed] [Google Scholar]
  • 25. Louis C, Ivers L, Smith Fawzi M, Freedberg K, Castro A (2007) Late presentation for HIV care in central Haiti: Factors limiting access to care. AIDS Care 19: 487–491. [DOI] [PubMed] [Google Scholar]
  • 26. Mshana G, Wamoyi J, Busza J, Zaba B, Changalucha J, et al. (2006) Barriers to accessing antiretroviral therapy in Kisesa, Tanzania: A qualitative study of early rural referrals to the national program. AIDS Patient Care St 20: 649–57. [DOI] [PubMed] [Google Scholar]
  • 27. Rosen S, Ketlhapile M, Sanne I, M DeSilva M (2007) Cost to patients of obtaining treatment for HIV/AIDS in South Africa. S Afr Med 97: 524–529. [PubMed] [Google Scholar]
  • 28. Tuller D, Bangsberg D, Senkungu J, Ware N, Emenyonu N, et al. (2010) Transport costs impede sustained adherence and access to HAART in a clinic population in Southwest Uganda: A qualitative study. AIDS Beh 14: 778–784. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Bobrova N, Sarang A, Stuikyte R, Lezhentsev K (2007) Obstacles in provision of anti-retroviral treatment to drug users in Central and Eastern Europe and Central Asia: A regional overview. Int J Drug Pol 18: 313–318. [DOI] [PubMed] [Google Scholar]
  • 30.Zachariah R, Harries A, Manzi M, Gomani P, Teck R, et al.. (2006). Acceptance of antiretroviral therapy among patients infected with HIV and tuberculosis in rural Malawi is low and associated with cost of transport. Plos One e121. doi:10.1371/journal.pone.0000121. [DOI] [PMC free article] [PubMed]
  • 31. Brigido L, Rodrigues R, Casseb J, Oliviera D, Rossetti M, et al. (2001) Impact of adherence to antiretroviral therapy in HIV-1-infected patients at a university public service in Brazil. AIDS Pat Care St 15: 587–593. [DOI] [PubMed] [Google Scholar]
  • 32. Muko K, Ngwa V, Chigang L, Meiburg A, Shu E (2004) Willingness to pay for treatment with highly active antiretroviral (HAART) drugs: A rural case study in Cameroon. SAHARA J 1: 107–113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Weiser S, Wolfe W, Bangsberg D, Thior I, Gilbert P, et al. (2003) Barriers to antiretroviral adherence for patients living with HIV infection and AIDS in Botswana. J Acq Immun Def Synd 34: 281–288. [DOI] [PubMed] [Google Scholar]
  • 34. Rosen S, Fox M, Gill C (2011) Patient retention in antiretroviral programs in Sub-Saharan Africa: A systematic review, PloS Medicine. 4: e298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Tassie J-M, Baijal P, Vitoria M, Alisalad A, Crowley S, et al. (2010) Trends in retention on antiretroviral therapy in national programs in low-income and middle-income countries. J Acq Immun Def Synd 54: 437–441. [DOI] [PubMed] [Google Scholar]
  • 36.Duff P, Kipp W, Wild T, Rubaale T, Okech-Ojony J (2010) Barriers to accessing highly active antiretroviral therapy by HIV-positive women attending an antenatal clinic in a regional hospital in western Uganda. J Int AIDS Soc 13: doi: 10.1186/1758-2652-13-37. [DOI] [PMC free article] [PubMed]
  • 37. Moon S, Van Leemput L, Durier N, Jambert E, Dahmane A, et al. (2008) Out-of-pocket costs of AIDS care in China: Are free antiretroviral drugs enough? AIDS Care 20: 984–994. [DOI] [PubMed] [Google Scholar]
  • 38. Riyarto S, Hidayat B, Johns B, Probandari A, Mahendradhata Y, et al. (2010) The financial burden of HIV care, including antiretroviral therapy, on patients in three sites in Indonesia. Health Polic Plann 25: 272–282. [DOI] [PubMed] [Google Scholar]
  • 39. Russell S (2004) The economic burden of illness for households in developing countries: A review of studies focusing on malaria, tuberculosis and human immunodeficiency virus/acquired immunodeficiency syndrome. Am J Trop Med Hyg 71: 147–155. [PubMed] [Google Scholar]
  • 40. Boccia D, Hargreaves J, Lönnroth K, Jaramillo E, Weiss J, et al. (2011) Cash transfer and microfinance interventions for tuberculosis control: review of the impact evidence and policy implications. Int J Tuberc Lung Dis 15: S37–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Kim M, Cox C, Anjalee D, Draper H, Kabue M, et al. (2012) Prompt initiation of ART with therapeutic food is associated with improved outcomes in HIV-infected Malawian children with malnutrition. J Acquir Immun Defic Syn 59: 173–176. [DOI] [PubMed] [Google Scholar]
  • 42. Lönnroth K, Jaramillo E, Williams B, Dye C, Raviglione M (2009) Drivers of tuberculosis epidemics: The role of risk factors and social determinants. Soc Sci Med 68: 2240–2246. [DOI] [PubMed] [Google Scholar]
  • 43. Moran-Mendoza O, Marion S, Elwood K, Patrick D, Fitrzgerald J (2010) Risk factors for developing tuberculosis: a 12-year follow-up of contacts of tuberculosis cases. Int J Tuberc Lung Dis 14: 1112–1119. [PubMed] [Google Scholar]
  • 44.World Health Organization (2010) World Health Report. Health systems financing: The path to universal coverage. Geneva: World Health Organization. [DOI] [PMC free article] [PubMed]
  • 45.UNAIDS (2010) UNAIDS Expanded Business Case: Enhancing Social Protection. Geneva: Joint United Nations Programme on HIV/AIDS.
  • 46.International Labour Organization (ILO) (2011) Social protection floor for a fair and inclusive globalization. Geneva: International Labour Organization.
  • 47. Buchanan R (1997) Compliance with tuberculosis drug regimes: Incentives and enablers offered by public health departments. Am J Pub Heal 87: 2014–2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Subbaro K, Bonnerjee A, Braithwaite J, Carvalho S, Ezemenan K, et al.. (1997) Safety net programs and poverty reduction: Lessons from cross-country experience. Washington, DC: World Bank.
  • 49. Kielmann K, Cataldo F (2010) Tracking the rise of the “expert patient” in evolving paradigms of HIV care. AIDS Care 22: 21–28. [DOI] [PubMed] [Google Scholar]
  • 50. Bridge J, Hunter B, Atun R, Lazarus J (2012) Global Fund investments in harm reduction from 2002 to 2009. Int J Drug Pol 23: 279–285. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1

Round 7 HIV grants that included direct and indirect forms of economic support in Phase 1 (first two years).

(DOCX)

Table S2

Round 7 TB grants that included direct and indirect forms of economic support in Phase 1 (first two years).

(DOCX)


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