Calculating indirect costs from international PEPFAR implementing partners.

BACKGROUND: UNAIDS estimates global HIV investment needs in low- and middle-income countries (LMICs) at $26 billion per year in 2020. Yet international financing for HIV programs has stagnated amidst despite the increasing number of people requiring and accessing treatment. Despite increased efficiencies in HIV service delivery, evaluating programs for greater efficiencies remains necessary. While HIV budgets have been under scrutiny in recent years, indirect costs have not been quantified for any major global HIV program, but may constitute an additional avenue to identify program efficiencies. This analysis presents a method for estimating indirect costs in the President's Emergency Plan for AIDS Relief (PEPFAR). METHODS: Utilizing PEPFAR country operational plan (COP) funding data from 2007 to 2016 for international organizations (IOs) and universities and standard regulatory cost bases, we calculated modified total direct costs on which indirect cost rates may be applied by partner and funding agency. We then apply a series of plausible indirect cost rates (10%-36.28%) to develop a range for total indirect costs that have accrued over the period. FINDINGS: Of $37.01 billion in total COP funding between 2007 and 2016, $22.24 billion (60.08%) was identifiably allocated to IOs ($17.95B) and universities ($4.29B). After excluding funding for sub-awards ($1.92B) and other expenses ($3.89B) to which indirect rates cannot be applied, $16.44B remained in combined direct and indirect costs. From this, we estimate that between $1.85B (8.30% of total international partner funding) and $4.34B (19.51%) has been spent on indirect costs from 2007-2016, including $157-$369 million in 2016. INTERPRETATION: To our knowledge, this is the first analysis to quantify the indirect costs of major implementing partners of a global HIV funder. However, lack of transparency in the indirect cost rates of non-University international partners creates an opaque layer of programmatic costs. Given the current funding environment and evolution of HIV programming in PEPFAR countries, the findings motivate a re-examination of the current policies and the return on investment in indirect cost recovery across the PEPFAR program.

National Assessment of Data Quality and Associated Systems-Level Factors in Malawi.

BACKGROUND: Routine health data can guide health systems improvements, but poor quality of these data hinders use. To address concerns about data quality in Malawi, the Ministry of Health and National Statistical Office conducted a data quality assessment (DQA) in July 2016 to identify systems-level factors that could be improved. METHODS: We used 2-stage stratified random sampling methods to select health centers and hospitals under Ministry of Health auspices, included those managed by faith-based entities, for this DQA. Dispensaries, village clinics, police and military facilities, tertiary-level hospitals, and private facilities were excluded. We reviewed client registers and monthly reports to verify availability, completeness, and accuracy of data in 4 service areas: antenatal care (ANC), family planning, HIV testing and counseling, and acute respiratory infection (ARI). We also conducted interviews with facility and district personnel to assess health management information system (HMIS) functioning and systems-level factors that may be associated with data quality. We compared systems and quality factors by facility characteristics using 2-sample t tests with Welch's approximation, and calculated verification ratios comparing total entries in registers to totals from summarized reports. RESULTS: We selected 16 hospitals (of 113 total in Malawi), 90 health centers (of 466), and 16 district health offices (of 28) in 16 of Malawi's 28 districts. Nearly all registers were available and complete in health centers and district hospitals, but data quality varied across service areas; median verification ratios comparing register and report totals at health centers ranged from 0.78 (interquartile range [IQR]: 0.25, 1.07) for ARI and 0.99 (IQR: 0.82, 1.36) for family planning to 1.00 (IQR: 0.96, 1.00) for HIV testing and counseling and 1.00 (IQR: 0.80, 1.23) for ANC. More than half (60%) of facilities reported receiving a documented supervisory visit for HMIS in the prior 6 months. A recent supervision visit was associated with better availability of data (P=.05), but regular district- or central-level supervision was not. Use of data by the facility to track performance toward targets was associated with both improved availability (P=.04) and completeness of data (P=.02). Half of facilities had a full-time statistical clerk, but their presence did not improve the availability or completeness of data (P=.39 and P=.69, respectively). CONCLUSION: Findings indicate both strengths and weaknesses in Malawi's HMIS performance, with key weaknesses including infrequent data quality checks and unreliable supervision. Efforts to strengthen HMIS in low- and middle-income countries should be informed by similar assessments.

Use of expenditure analysis to enhance returns on investments in HIV services.

PURPOSE OF REVIEW: Globally, the response to the HIV epidemic is at a crisis point. International investments in the HIV response have been essentially flat for 8 years and domestic budgets in low and middle-income countries - still recovering from the global recession - have not been able to fill the resource gap to drive a full-fledged HIV response. Still, efficiencies and prioritization of evidence-based interventions enable a significant scale-up of treatment, but millions more people remain without treatment. This review looks at recent data and research to evaluate interventions that may help close gaps in service provision that undermine testing and treatment programs. RECENT FINDINGS: The President's Emergency Plan for AIDS Relief recently began publicly releasing vast programmatic and expenditure data. These data reveal potential efficiency gaps in testing and treatment programs, particularly in the area of linkage and retention. Interventions such as HIV self-testing have been proposed to help, but whether they can deliver better results remains unclear. Same-day initiation on treatment improves initiation, retention, and viral suppression rates. SUMMARY: Near real-time analysis of data and active response is critical in improving efficiencies in programs. More investment in implementation research is necessary to improve linkage to care and treatment to reach 90-90-90 goals.