Annual cost of antiretroviral therapy among three service delivery models in Uganda

Uptake of community-based differentiated antiretroviral therapy service delivery and associated factors among people living with HIV in Ethiopia: a multicenter cross-sectional study

Background

Achieving the 95-95-95 targets require an efficient and innovative person-centered approach, specifically community-based differentiated service delivery (DSD), to improve access to human immunodeficiency virus (HIV) services and reduce burdens on the health system. Therefore, this study aimed to assess the uptake of community-based DSD models and associated factors among people living with HIV (PLHIV).

Methods

A multicenter cross-sectional study was conducted among PLHIV in public health facilities in South Ethiopia. Data were collected and entered into EpiData version 3.1 before being exported to Stata version 14 for further analysis. In the bivariable logistic regression analysis, variables with a p-value of ≤0.25 were included in the multivariable logistic regression analysis. A p-value of <0.05 was used to identify statistically significant factors.

Results

Among 381 stable PLHIV, 55.91% were women. The median age (interquartile range) was 40 years (27-53). The uptake of community-based DSD models was 19.16%. Residence and disclosure were the two independent factors significantly associated with the uptake of community-based DSD models.

Conclusion

One out of five stable PLHIV on antiretroviral therapy uptake the community-based DSD models. Improvement in uptake is needed in Ethiopia's resource-limited healthcare system to better achieve the 95-95-95 targets.

Development of novel composite data quality scores to evaluate facility-level data quality in electronic data in Kenya: a nationwide retrospective cohort study

BACKGROUND

In this evaluation, we aim to strengthen Routine Health Information Systems (RHIS) through the digitization of data quality assessment (DQA) processes. We leverage electronic data from the Kenya Health Information System (KHIS) which is based on the District Health Information System version 2 (DHIS2) to perform DQAs at scale. We provide a systematic guide to developing composite data quality scores and use these scores to assess data quality in Kenya.

METHODS

We evaluated 187 HIV care facilities with electronic medical records across Kenya. Using quarterly, longitudinal KHIS data from January 2011 to June 2018 (total N = 30 quarters), we extracted indicators encompassing general HIV services including services to prevent mother-to-child transmission (PMTCT). We assessed the accuracy (the extent to which data were correct and free of error) of these data using three data-driven composite scores: 1) completeness score; 2) consistency score; and 3) discrepancy score. Completeness refers to the presence of the appropriate amount of data. Consistency refers to uniformity of data across multiple indicators. Discrepancy (measured on a Z-scale) refers to the degree of alignment (or lack thereof) of data with rules that defined the possible valid values for the data.

RESULTS

A total of 5,610 unique facility-quarters were extracted from KHIS. The mean completeness score was 61.1% [standard deviation (SD) = 27%]. The mean consistency score was 80% (SD = 16.4%). The mean discrepancy score was 0.07 (SD = 0.22). A strong and positive correlation was identified between the consistency score and discrepancy score (correlation coefficient = 0.77), whereas the correlation of either score with the completeness score was low with a correlation coefficient of -0.12 (with consistency score) and -0.36 (with discrepancy score). General HIV indicators were more complete, but less consistent, and less plausible than PMTCT indicators.

CONCLUSION

We observed a lack of correlation between the completeness score and the other two scores. As such, for a holistic DQA, completeness assessment should be paired with the measurement of either consistency or discrepancy to reflect distinct dimensions of data quality. Given the complexity of the discrepancy score, we recommend the simpler consistency score, since they were highly correlated. Routine use of composite scores on KHIS data could enhance efficiencies in DQA at scale as digitization of health information expands and could be applied to other health sectors beyondHIV clinics.

The cost of providing hospital-based (early) antiretroviral treatment in Indonesia: what has changed in almost a decade?

17% of all people living with HIV in Indonesia who are in need of antiretroviral treatment (ART) actually receive the treatment. The cost of ART based on three CD4 cell count groups (e.g., 0-200, 201-350, >350 cells/mm³) in a main referral hospital in West Java, Indonesia, in 2011-2016 was compared to the results from a decade earlier in the same setting. Costs were estimated including resources used for opportunistic infection treatment, laboratory tests, and antiretroviral (ARV) drugs. For each group, we divided the costs into several periods: pre-ART, and every 6 months up to 24 months after onset of treatment. Before ART, costs were dominated by laboratory tests (>80%); ARV drugs were the main cost after treatment onset (>92%). Average cost of treatment per year was US$600 across all groups. Moreover, the patient cost to access ART (n = 49 patients) did not exceed 10% of their household monthly expenditures (i.e., 4%). The unit cost of providing ART per patient/year is half the cost under the previous treatment initiation guidelines. A lower ARV drug cost, more patients in higher CD4 cell-count groups, and lower viral load test cost characterize the current cost profile.

Uptake of community antiretroviral group delivery models for persons living with HIV in Arua district, Uganda: A parallel convergent mixed methods study

Community antiretroviral groups (CAGs) is one of the innovative and efficient differentiated service delivery models (DSDM) for reaching persons needing human immunodeficiency virus (HIV) treatment in the community. Since DSDM adoption in Uganda, evidence suggests better care outcomes for patients in DSDM compared to counterparts in routine health facility care. However, uptake of CAG models for eligible community groups of persons living with HIV (PLHIV) has been slow in Arua district, Uganda and stakeholders' perceptions regarding its implementation unexplored. The objective of the study was to determine the uptake, barriers and facilitators influencing CAG model implementation in Arua district, Uganda. We conducted a parallel convergent mixed-methods study from March 2020 to December 2020 at Adumi health centre IV and Kuluva hospital in Arua district. We enrolled and extracted data for every fifth virally suppressed participant on antiretroviral therapy (ART) at the two health facilities. Data were analysed using STATA 13.0. Uptake was determined as the proportion of eligible PLHIV that were enrolled into a group. We performed logistic regression to determine factors associated with uptake. We conducted one focus group discussion per facility among healthcare workers involved in the management of PLHIV. We also conducted 7 focus group discussions among PLHIV across the two facilities. Thematic analysis was used to describe the data. A total of 399 PLHIV were eligible for CAG, 61.6% were female, and 44.9% were on dolutegravir (DTG) based regimen. Uptake was 6.8%, 95% CI (4.7-9.7) and was found to be significantly associated with being divorced or separated in a marriage (OR; 0.14, 95%CI; 0.02-0.92, P = 0.014). Members picking drugs in turns, comforting and encouraging others to take the drugs, and health workers advising them to join and stay with other group members were perceived as facilitators to uptake of community antiretroviral group delivery model. Having few and distant eligible members in the local area to form a group, lack of transport among the member to pick the drugs when it's their turn, misunderstandings and lack of confidentiality amongst the members, and lack of partner disclosure were perceived as barriers to uptake of community antiretroviral group delivery model. Uptake of community antiretroviral group delivery model in Arua district is very low. There may be a need to support community antiretroviral group delivery models with income- generating activities, transport facilitation, closer community drug pick-up points and improved partner disclosure support mechanisms among married group members.

Integrating hepatitis B care and treatment with existing HIV services is possible: cost of integrated HIV and hepatitis B treatment in a low-resource setting: a cross-sectional hospital-based cost-minimisation assessment

BACKGROUND

Hepatitis B and HIV care share health system challenges in the implementation of primary prevention, screening, early linkage to care, monitoring of therapeutic success and long-term medication adherence.

SETTING

Arua regional referral hospital (RRH) and Koboko district hospital (DH), the West Nile region of Uganda.

DESIGN

A cross-sectional hospital-based cost minimisation study from the providers' perspective considers financial costs to measure the amount of money spent on resources used in the stand-alone and integrated pathways.

DATA SOURCES

Clinic inputs and procurement invoices, budgetary documents, open market information and expert opinion. Data were extracted from 3121 files of HIV and hepatitis B virus (HBV) monoinfected patients from the two study sites.

OBJECTIVE

To estimate provider costs associated with running an integrated HBV and HIV clinical pathway for patients on lifelong treatment in low-resource setting in Uganda.

OUTCOME MEASURES

The annual cost per patient was simulated based on the total amount of resources spent for all the expected number of patient visits to the facility for HBV or HIV care per year.

RESULTS

Findings showed that Arua hospital had a higher cost per patient in both clinics than did Koboko Hospital. The cost per HBV patient was US$163.59 in Arua and US$145.76 in Koboko while the cost per HIV patient was US$176.52 in Arua and US$173.23 in Koboko. The integration resulted in a total saving of US$36.73 per patient per year in Arua RRH and US$17.5 in Koboko DH.

CONCLUSION

The application of the integrated Pathway in HIV and HBV patient management could improve hospital cost efficiency compared with operating stand-alone clinics.

Patient-incurred costs in a differentiated service delivery club intervention compared to standard clinical care in Northwest Tanzania

INTRODUCTION

Placing all clients with a positive diagnosis for HIV on antiretroviral therapy (ART) has cost implications both for patients and health systems, which could, in turn, affect feasibility, sustainability and uptake of new services. Patient-incurred costs are recognized barriers to healthcare access. Differentiated service delivery (DSD) models in general and community-based care in particular, could reduce these costs. We aimed to assess patient-incurred costs of a community-based DSD intervention (clubs) compared to clinic-based care in the Shinyanga region, Tanzania.

METHODS

Cross-sectional survey among stable ART patients (n = 390, clinic-based; n = 251, club-based). For each group, we collected socio-demographic, income and expenditure data between May and August 2019. We estimated direct and indirect patient-incurred costs. Direct costs included out-of-pocket expenditures. Indirect costs included income loss due to time spent during transport, accessing services and off work during illness. Cost drivers were assessed in multivariate regression models.

RESULTS

Overall, costs were significantly higher among clinic participants. Costs (USD) per year for clinic versus club were as follows: 11.7 versus 4.17 (p < 0.001) for direct costs, 20.9 versus 8.23 (p < 0.001) for indirect costs and 32.2 versus 12.4 (p < 0.001) for total costs. Time spent accessing care and time spent in illness (hours/year) were 38.3 versus 13.8 (p < 0.001) and 16.0 versus 6.69 (p < 0.001) respectively. The main cost drivers included transportation (clinic vs. club: 67.7% vs. 44.1%) for direct costs and income loss due to time spent accessing care (clinic vs. club: 60.4% vs. 56.7%) for indirect costs. Factors associated with higher total costs among patients attending clinic services were higher education level (coefficient [95% confidence interval]) 20.9 [5.47 to 36.3]) and formal employment (44.2 [20.0 to 68.5). Differences in mean total costs remained significantly higher with formal employment, rural residence, in addition to more frequent visits among clinic participants. The percentage of households classified as having had catastrophic expenditures in the last year was low but significantly higher among clinic participants (10.8% vs. 5.18%, p = 0.014).

CONCLUSIONS

Costs incurred by patients accessing DSD in the community are significantly lower compared to those accessing standard clinic-based care. DSD models could improve access, especially in resource-limited settings.

Viral load care of HIV-1 infected children and adolescents: A longitudinal study in rural Zimbabwe

INTRODUCTION

Maintaining virologic suppression of children and adolescents on ART in rural communities in sub-Saharan Africa is challenging. We explored switching drug regimens to protease inhibitor (PI) based treatment and reducing nevirapine and zidovudine use in a differentiated community service delivery model in rural Zimbabwe.

METHODS

From 2016 through 2018, we followed 306 children and adolescents on ART in Hurungwe, Zimbabwe at Chidamoyo Christian Hospital, which provides compact ART regimens at 8 dispersed rural community outreach sites. Viral load testing was performed (2016) by Roche and at follow-up (2018) by a point of care viral load assay. Virologic failure was defined as viral load ≥1,000 copies/ml. A logistic regression model which included demographics, treatment regimens and caregiver's characteristics was used to assess risks for virologic failure and loss to follow-up (LTFU).

RESULTS

At baseline in 2016, 296 of 306 children and adolescents (97%) were on first-line ART, and only 10 were receiving a PI-based regimen. The median age was 12 years (IQR 8-15) and 55% were female. Two hundred and nine (68%) had viral load suppression (<1,000 copies/ml) and 97(32%) were unsuppressed (viral load ≥1000). At follow-up in 2018, 42/306 (14%) were either transferred 23 (7%) or LTFU 17 (6%) and 2 had died. In 2018, of the 264 retained in care, 107/264 (41%), had been switched to second-line, ritonavir-boosted PI with abacavir as a new nucleotide analog reverse transcriptase inhibitor (NRTI). Overall viral load suppression increased from 68% in 2016 to 81% in 2018 (P<0.001).

CONCLUSION

Viral load testing, and switching to second-line, ritonavir-boosted PI with abacavir significantly increased virologic suppression among HIV-infected children and adolescents in rural Zimbabwe.

Cost-effectiveness of one month of daily isoniazid and rifapentine versus three months of weekly isoniazid and rifapentine for prevention of tuberculosis among people receiving antiretroviral therapy in Uganda

INTRODUCTION

Preventive therapy is essential for reducing tuberculosis (TB) burden among people living with HIV (PLWH) in high-burden settings. Short-course preventive therapy regimens, such as three-month weekly rifapentine and isoniazid (3HP) and one-month daily rifapentine and isoniazid (1HP), may help facilitate uptake of preventive therapy for latently infected patients, but the comparative cost-effectiveness of these regimens under different conditions is uncertain.

METHODS

We used a Markov state-transition model to estimate the incremental costs and effectiveness of 1HP versus 3HP in a simulated cohort of patients attending an HIV clinic in Uganda, as an example of a low-income, high-burden setting in which TB preventive therapy might be prescribed to PLWH. Our primary outcome was the incremental cost-effectiveness ratio, expressed as 2019 US dollars per disability-adjusted life year (DALY) averted. We estimated cost-effectiveness under different conditions of treatment completion and efficacy of 1HP versus 3HP, latent TB prevalence and rifapentine price.

RESULTS

Assuming equivalent clinical outcomes using 1HP and 3HP and a rifapentine price of $0.21 per 150 mg, 1HP would cost an additional $4.66 per patient treated. Assuming equivalent efficacy but 20% higher completion with 1HP versus 3HP, 1HP would cost $1,221 per DALY averted relative to 3HP. This could be reduced to $18 per DALY averted if 1HP had 5% greater efficacy than 3HP and the price of rifapentine were 50% lower. At a rifapentine price of $0.06 per 150 mg, 1HP would become cost-neutral relative to 3HP.

CONCLUSIONS

1HP has the potential to be cost-effective under many realistic circumstances. Cost-effectiveness depends on rifapentine price, relative completion and efficacy, prevalence of latent TB and local willingness-to-pay.

A Review of Differentiated Service Delivery for HIV Treatment: Effectiveness, Mechanisms, Targeting, and Scale

PURPOSE OF REVIEW

Differentiated service delivery (DSD) models were initially developed as a means to combat suboptimal long-term retention in HIV care, and to better titrate limited health systems resources to patient needs, primarily in low-income countries. The models themselves are designed to streamline care along the HIV care cascade and range from individual to group-based care and facility to community-based health delivery systems. However, much remains to be understood about how well and for whom DSD models work and whether these models can be scaled, are sustainable, and can reach vulnerable and high-risk populations. Implementation science is tasked with addressing some of these questions through systematic, scientific inquiry. We review the available published evidence on the implementation of DSD and suggest further health systems innovations needed to maximize the public health impact of DSD and future implementation science research directions in this expanding field.

RECENT FINDINGS

While early observational data supported the effectiveness of various DSD models, more recently published trials as well as evaluations of national scale-up provide more rigorous evidence for effectiveness and performance at scale. Deeper understanding of the mechanism of effect of various DSD models and generalizability of studies to other countries or contexts remains somewhat limited. Relative implementability of DSD models may differ based on patient preference, logistical complexity of model adoption and maintenance, human resource and pharmacy supply chain needs, and comparative cost-effectiveness. However, few studies to date have evaluated comparative implementation or cost-effectiveness from a health systems perspective. While DSD represents an exciting and promising "next step" in HIV health care delivery, this innovation comes with its own set of implementation challenges. Evidence on the effectiveness of DSD generally supports the use of most DSD models, although it is still unclear which models are most relevant in diverse settings and populations and which are the most cost-effective. Challenges during scale-up highlight the need for accurate differentiation of patients, sustainable inclusion of a new cadre of health care worker (the community health care worker), and substantial strengthening of existing pharmacy supply chains. To maximize the public health impact of DSD, systems need to be patient-centered and adaptive, as well as employ robust quality improvement processes.

Factors associated with loss-to-follow-up of HIV-positive mothers and their infants enrolled in HIV care clinic: A qualitative study

Background

In Malawi, loss to follow-up (LTFU) of HIV-positive pregnant and postpartum women on Option B+ regimen greatly contributes to sub-optimal retention, estimated to be 74% at 12 months postpartum. This threatens Malawi’s efforts to eliminate mother-to-child transmission of HIV. We investigated factors associated with LTFU among Mother-Infant Pairs.

Methods

We conducted a qualitative study, nested within the “Promoting Retention Among Infants and Mothers Effectively (PRIME)” study, a 3-arm cluster randomized trial assessing the effectiveness of strategies for improving retention of mother-infant pairs in HIV care in Salima and Mangochi districts, Malawi. From July to December 2016, we traced and interviewed 19 LTFU women. In addition, we interviewed 30 healthcare workers from health facilities where the LTFU women were receiving care. Recorded interviews were transcribed, translated and then analysed using deductive content analysis.

Results

The following reasons were reported as contributing to LTFU: lack of support from husbands or family members; long distance to health facilities; poverty; community-level stigma; ART side effects; perceived good health after taking ART and adoption of other alternative HIV treatment options.

Conclusion

Our study has found multiple factors at personal, family, community and health system levels, which contribute to poor retention of mother-infant pairs in HIV care.

A meta-analysis approach for estimating average unit costs for ART using pooled facility-level primary data from African countries

Objective: To estimate facility-level average cost for ART services and explore unit cost variations using pooled facility-level cost estimates from four HIV empirical cost studies conducted in five African countries .Methods: Through a literature search we identified studies reporting facility-level costs for ART programmes. We requested the underlying data and standardised the disparate data sources to make them comparable. Subsequently, we estimated the annual cost per patient served and assessed the cost variation among facilities and other service delivery characteristics using descriptive statistics and meta-analysis. All costs were converted to 2017 US dollars ($). Results: We obtained and standardised data from four studies across five African countries and 139 facilities. The weighted average cost per patient on ART was $251 (95% CI: 193-308). On average, 46% of the mean unit cost correspond to antiretroviral (ARVs) costs, 31% to personnel costs, 20% other recurrent costs, and 2% to capital costs. We observed a lot of variation in unit cost and scale levels between countries. We also observed a negative relationship between ART unit cost and the number of patients served in a year.Conclusion: Our approach allowed us to explore unit cost variation across contexts by pooling ART costs from multiple sources. Our research provides an example of how to estimate costs based on heterogeneous sources reconciling methodological differences across studies and contributes by giving an example on how to estimate costs based on heterogeneous sources of data. Also, our study provides additional information on costs for funders, policy-makers, and decision-makers in the process of designing or scaling-up HIV interventions.

Cost of Differentiated HIV Antiretroviral Therapy Delivery Strategies in Sub-Saharan Africa: A Systematic Review

BACKGROUND

Efficient and scalable models for HIV treatment are needed to maximize health outcomes with available resources. By adapting services to client needs, differentiated antiretroviral therapy (DART) has the potential to use resources more efficiently. We conducted a systematic review assessing the cost of DART in sub-Saharan Africa compared with the standard of care.

METHODS

We searched PubMed, Embase, Global Health, EconLit, and the grey literature for studies published between 2005 and 2019 that assessed the cost of DART. Models were classified as facility-vs. community-based and individual- vs group-based. We extracted the annual per-patient service delivery cost and incremental cost of DART compared with standard of care in 2018 USD.

RESULTS

We identified 12 articles that reported costs for 16 DART models in 7 countries. The majority of models were facility-based (n = 12) and located in Uganda (n = 7). The annual cost per patient within DART models (excluding drugs) ranged from $27 to $889 (2018 USD). Of the 11 models reporting incremental costs, 7 found DART to be cost saving. The median incremental saving per patient per year among cost-saving models was $67. Personnel was the most common driver of reduced costs, but savings were sometimes offset by higher overheads or utilization.

CONCLUSIONS

DART models can save personnel costs by task shifting and reducing visit frequency. Additional economic evidence from community-based and group models is needed to better understand the scalability of DART. To decrease costs, programs will need to match DART models to client needs without incurring substantial overheads.

Quality matters: Redefining child TB care with an emphasis on quality

Children have been neglected in the fight against tuberculosis (TB) for decades. Despite being the number one infectious disease killer, TB does not feature on the child survival agendas partly due to absent and inaccurate data. Quality is a missing ingredient in TB care in children, yet high rates of unfavorable TB outcomes highlight its importance in this age group. Quality care is particularly important for TB affected children in the absence of a point of care sensitive and specific diagnostic test. Using the current models of child TB care, it will take another 200 years to end TB. Without focusing on the quality of child TB care, the ambitious country specific United Nations High Level Meeting for TB targets will carry minimal impact. High TB burden countries must also adopt Universal Health Care (UHC) and ensure that quality TB care is made free and equitable for all children, adolescents and their affected families. We advocate for the importance of evaluating the quality of child TB care, and provide a basic framework for quality in child TB with special attention given to creating differentiated service delivery models for children and families affected by TB.

Cost-effectiveness of Preventive Therapy for Tuberculosis With Isoniazid and Rifapentine Versus Isoniazid Alone in High-Burden Settings

Background

A short-course regimen of 3 months of weekly rifapentine and isoniazid (3HP) has recently been recommended by the World Health Organization as an alternative to at least 6 months of daily isoniazid (isoniazid preventive therapy [IPT]) for prevention of tuberculosis (TB). The contexts in which 3HP may be cost-effective compared to IPT among people living with human immunodeficiency virus are unknown.

Methods

We used a Markov state transition model to estimate the incremental cost-effectiveness of 3HP relative to IPT in high-burden settings, using a cohort of 1000 patients in a Ugandan HIV clinic as an emblematic scenario. Cost-effectiveness was expressed as 2017 US dollars per disability-adjusted life year (DALY) averted from a healthcare perspective over a 20-year time horizon. We explored the conditions under which 3HP would be considered cost-effective relative to IPT.

Results

Per 1000 individuals on antiretroviral therapy in the reference scenario, treatment with 3HP rather than IPT was estimated to avert 9 cases of TB and 1 death, costing $9402 per DALY averted relative to IPT. Cost-effectiveness depended strongly on the price of rifapentine, completion of 3HP, and prevalence of latent TB. At a willingness to pay of $1000 per DALY averted, 3HP is likely to be cost-effective relative to IPT only if the price of rifapentine can be greatly reduced (to approximately $20 per course) and high treatment completion (85%) can be achieved.

Conclusions

3HP may be a cost-effective alternative to IPT in high-burden settings, but cost-effectiveness depends on the price of rifapentine, achievable completion rates, and local willingness to pay.

Costs of streamlined HIV care delivery in rural Ugandan and Kenyan clinics in the SEARCH Studys

Objectives/design:

As antiretroviral therapy (ART) rapidly expands in sub-Saharan Africa using new efficient care models, data on costs of these approaches are lacking. We examined costs of a streamlined HIV care delivery model within a large HIV test-and-treat study in Uganda and Kenya.

Methods:

We calculated observed per-person-per-year (ppy) costs of streamlined care in 17 health facilities in SEARCH Study intervention communities (NCT: 01864603) via micro-costing techniques, time-and-motion studies, staff interviews, and administrative records. Cost categories included salaries, ART, viral load testing, recurring goods/services, and fixed capital/facility costs. We then modeled costs under three increasingly efficient scale-up scenarios: lowest-cost ART, centralized viral load testing, and governmental healthcare worker salaries. We assessed the relationship between community-specific ART delivery costs, retention in care, and viral suppression.

Results:

Estimated streamlined HIV care delivery costs were $291/ppy. ART ($117/ppy for TDF/3TC/EFV [40%]) and viral load testing ($110/ppy for 2 tests/year [39%]) dominated costs versus salaries ($51/ppy), recurring costs ($5/ppy), and fixed costs ($7/ppy). Optimized ART scale-up with lowest-cost ART ($100/ppy), annual viral load testing ($24/ppy), and governmental healthcare salaries ($27/ppy), lowered streamlined care cost to $163/ppy. We found clinic-to-clinic heterogeneity in retention and viral suppression levels versus streamlined care delivery costs, but no correlation between cost and either retention or viral suppression.

Conclusions:

In the SEARCH Study, streamlined HIV care delivery costs were similar to or lower than prior estimates despite including viral load testing; further optimizations could substantially reduce costs further. These data can inform global strategies for financing ART expansion to achieve UNAIDS 90–90–90 targets.

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.

Can differentiated care models solve the crisis in HIV treatment financing? Analysis of prospects for 38 countries in sub-Saharan Africa

Introduction: Rapid scale-up of antiretroviral therapy (ART) in the context of financial and health system constraints has resulted in calls to maximize efficiency in ART service delivery. Adopting differentiated care models (DCMs) for ART could potentially be more cost-efficient and improve outcomes. However, no study comprehensively projects the cost savings across countries. We model the potential reduction in facility-level costs and number of health workers needed when implementing two types of DCMs while attempting to reach 90-90-90 targets in 38 sub-Saharan African countries from 2016 to 2020.

Methods: We estimated the costs of three service delivery models: (1) undifferentiated care, (2) differentiated care by patient age and stability, and (3) differentiated care by patient age, stability, key vs. general population status, and urban vs. rural location. Frequency of facility visits, type and frequency of laboratory testing, and coverage of community ART support vary by patient subgroup. For each model, we estimated the total costs of antiretroviral drugs, laboratory commodities, and facility-level personnel and overhead. Certain groups under four-criteria differentiation require more intensive inputs. Community-based ART costs were included in the DCMs. We take into account underlying uncertainty in the projected numbers on ART and unit costs.

Results: Total five-year facility-based ART costs for undifferentiated care are estimated to be US$23.33 billion (95% confidence interval [CI]: $23.3–$23.5 billion). An estimated 17.5% (95% CI: 17.4%–17.7%) and 16.8% (95% CI: 16.7%–17.0%) could be saved from 2016 to 2020 from implementing the age and stability DCM and four-criteria DCM, respectively, with annual cost savings increasing over time. DCMs decrease the full-time equivalent (FTE) health workforce requirements for ART. An estimated 46.4% (95% CI: 46.1%–46.7%) fewer FTE health workers are needed in 2020 for the age and stability DCM compared with undifferentiated care.

Conclusions: Adopting DCMs can result in significant efficiency gains in terms of reduced costs and health workforce needs, even with the costs of scaling up community-based ART support under DCMs. Efficiency gains remained flat with increased differentiation. More evidence is needed on how to translate analyzed efficiency gains into implemented cost reductions at the facility level.

Opportunities and challenges in conducting secondary analysis of HIV programmes using data from routine health information systems and personal health information

INTRODUCTION

HIV programme data from routine health information systems (RHIS) and personal health information (PHI) provide ample opportunities for secondary data analysis. However, these data pose unique opportunities and challenges for use in health system monitoring, along with process and impact evaluations.

METHODS

Analyses focused on retrospective case reviews of four of the HIV-related studies published in this JIAS supplement. We identify specific opportunities and challenges with respect to the secondary analysis of RHIS and PHI data.

RESULTS

Challenges working with both HIV-related RHIS and PHI included missing, inconsistent and implausible data; rapidly changing indicators; systematic differences in the utilization of services; and patient linkages over time and different data sources. Specific challenges among RHIS data included numerous registries and indicators, inconsistent data entry, gaps in data transmission, duplicate registry of information, numerator-denominator incompatibility and infrequent use of data for decision-making. Challenges specific to PHI included the time burden for busy providers, the culture of lax charting, overflowing archives for paper charts and infrequent chart review.

CONCLUSIONS

Many of the challenges that undermine effective use of RHIS and PHI data for analyses are related to the processes and context of collecting the data, excessive data requirements, lack of knowledge of the purpose of data and the limited use of data among those generating the data. Recommendations include simplifying data sources, analysis and reporting; conducting systematic data quality audits; enhancing the use of data for decision-making; promoting routine chart review linked with simple patient tracking systems; and encouraging open access to RHIS and PHI data for increased use.