scholarly journals The Cost-effectiveness of Human Immunodeficiency Virus (HIV) Preexposure Prophylaxis and HIV Testing Strategies in High-risk Groups in India

2019 ◽  
Vol 70 (4) ◽  
pp. 633-642 ◽  
Author(s):  
Pooyan Kazemian ◽  
Sydney Costantini ◽  
Nagalingeswaran Kumarasamy ◽  
A David Paltiel ◽  
Kenneth H Mayer ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Hiv Testing ◽  
Scale Up ◽  
Cost Effective ◽  
Status Quo ◽  
Hiv Incidence ◽  
Testing Strategies ◽  
Preexposure Prophylaxis ◽  
Immunodeficiency Virus ◽  
The Cost

Abstract Background The human immunodeficiency virus (HIV) epidemic in India is concentrated among 3.1 million men who have sex with men (MSM) and 1.1 million people who inject drugs (PWID), with a mean incidence of 0.9–1.4 per 100 person-years. We examined the cost-effectiveness of both preexposure prophylaxis (PrEP) and HIV testing strategies for MSM and PWID in India. Methods We populated an HIV microsimulation model with India-specific data and projected clinical and economic outcomes of 7 strategies for MSM/PWID, including status quo; a 1-time HIV test; routine HIV testing every 3, 6, or 12 months; and PrEP with HIV testing every 3 or 6 months. We used a willingness-to-pay threshold of US$1950, the 2017 Indian per capita gross domestic product, to define cost-effectiveness. Results HIV testing alone increased life expectancy by 0.07–0.30 years in MSM; PrEP added approximately 0.90 life-years to status quo. Results were similar in PWID. PrEP with 6-month testing was cost-effective for both MSM (incremental cost-effectiveness ratio [ICER], $1000/year of life saved [YLS]) and PWID (ICER, $500/YLS). Results were most sensitive to HIV incidence. PrEP with 6-month testing would increase HIV-related expenditures by US$708 million (MSM) and US$218 million (PWID) over 5 years compared to status quo. Conclusions While the World Health Organization recommends PrEP with quarterly HIV testing, our analysis identifies PrEP with semiannual testing as the cost-effective HIV prevention strategy for Indian MSM and PWID. Since nationwide scale-up would require a substantial fiscal investment, areas of highest HIV incidence may be the appropriate initial targets for PrEP scale-up.

scholarly journals Cost-effectiveness of a Novel Lipoarabinomannan Test for Tuberculosis in Patients With Human Immunodeficiency Virus

2020 ◽  
Author(s):  
Krishna P Reddy ◽  
Claudia M Denkinger ◽  
Tobias Broger ◽  
Nicole C McCann ◽  
Ankur Gupta-Wright ◽  
...  
Keyword(s):  
South Africa ◽  
Human Immunodeficiency Virus ◽  
Cost Effectiveness ◽  
Life Expectancy ◽  
Impact Analysis ◽  
Cost Effective ◽  
Hiv Treatment ◽  
Testing Strategies ◽  
Immunodeficiency Virus ◽  
The Cost

Abstract Background A novel urine lipoarabinomannan assay (FujiLAM) has higher sensitivity and higher cost than the first-generation AlereLAM assay. We evaluated the cost-effectiveness of FujiLAM for tuberculosis testing among hospitalized people with human immunodeficiency virus (HIV), irrespective of symptoms. Methods We used a microsimulation model to project clinical and economic outcomes of 3 testing strategies: (1) sputum Xpert MTB/RIF (Xpert), (2) sputum Xpert plus urine AlereLAM (Xpert+AlereLAM), (3) sputum Xpert plus urine FujiLAM (Xpert+FujiLAM). The modeled cohort matched that of a 2-country clinical trial. We applied diagnostic yields from a retrospective study (yields for Xpert/Xpert+AlereLAM/Xpert+FujiLAM among those with CD4 <200 cells/µL: 33%/62%/70%; among those with CD4 ≥200 cells/µL: 33%/35%/47%). Costs of Xpert/AlereLAM/FujiLAM were US$15/3/6 (South Africa) and $25/3/6 (Malawi). Xpert+FujiLAM was considered cost-effective if its incremental cost-effectiveness ratio (US$/year-of-life saved) was <$940 (South Africa) and <$750 (Malawi). We varied key parameters in sensitivity analysis and performed a budget impact analysis of implementing FujiLAM countrywide. Results Compared with Xpert+AlereLAM, Xpert+FujiLAM increased life expectancy by 0.2 years for those tested in South Africa and Malawi. Xpert+FujiLAM was cost-effective in both countries. Xpert+FujiLAM for all patients remained cost-effective compared with sequential testing and CD4-stratified testing strategies. FujiLAM use added 3.5% (South Africa) and 4.7% (Malawi) to 5-year healthcare costs of tested patients, primarily reflecting ongoing HIV treatment costs among survivors. Conclusions FujiLAM with Xpert for tuberculosis testing in hospitalized people with HIV is likely to increase life expectancy and be cost-effective at the currently anticipated price in South Africa and Malawi. Additional studies should evaluate FujiLAM in clinical practice settings.

scholarly journals Addition of Flucytosine to Fluconazole for the Treatment of Cryptococcal Meningitis in Africa: A Multicountry Cost-effectiveness Analysis

2019 ◽  
Vol 70 (1) ◽  
pp. 26-29 ◽  
Author(s):  
Tinevimbo Shiri ◽  
Angela Loyse ◽  
Lawrence Mwenge ◽  
Tao Chen ◽  
Shabir Lakhi ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Cost Effectiveness ◽  
Cryptococcal Meningitis ◽  
Cost Effective ◽  
Immunodeficiency Virus ◽  
The Mean ◽  
The Cost ◽  
The Impact ◽  
Costing Analysis ◽  
Very High

Abstract Background Mortality from cryptococcal meningitis remains very high in Africa. In the Advancing Cryptococcal Meningitis Treatment for Africa (ACTA) trial, 2 weeks of fluconazole (FLU) plus flucytosine (5FC) was as effective and less costly than 2 weeks of amphotericin-based regimens. However, many African settings treat with FLU monotherapy, and the cost-effectiveness of adding 5FC to FLU is uncertain. Methods The effectiveness and costs of FLU+5FC were taken from ACTA, which included a costing analysis at the Zambian site. The effectiveness of FLU was derived from cohorts of consecutively enrolled patients, managed in respects other than drug therapy, as were participants in ACTA. FLU costs were derived from costs of FLU+5FC in ACTA, by subtracting 5FC drug and monitoring costs. The cost-effectiveness of FLU+5FC vs FLU alone was measured as the incremental cost-effectiveness ratio (ICER). A probabilistic sensitivity analysis assessed uncertainties and a bivariate deterministic sensitivity analysis examined the impact of varying mortality and 5FC drug costs on the ICER. Results The mean costs per patient were US $847 (95% confidence interval [CI] $776–927) for FLU+5FC, and US $628 (95% CI $557–709) for FLU. The 10-week mortality rate was 35.1% (95% CI 28.9–41.7%) with FLU+5FC and 53.8% (95% CI 43.1–64.1%) with FLU. At the current 5FC price of US $1.30 per 500 mg tablet, the ICER of 5FC+FLU versus FLU alone was US $65 (95% CI $28–208) per life-year saved. Reducing the 5FC cost to between US $0.80 and US $0.40 per 500 mg resulted in an ICER between US $44 and US $28 per life-year saved. Conclusions The addition of 5FC to FLU is cost-effective for cryptococcal meningitis treatment in Africa and, if made available widely, could substantially reduce mortality rates among human immunodeficiency virus–infected persons in Africa.

scholarly journals Cost-Effectiveness of Peer-Delivered HIV Self-Tests for MSM in Uganda

2021 ◽  
Vol 9 ◽  
Author(s):  
Stephen Okoboi ◽  
Barbara Castelnuovo ◽  
Jean-Pierre Van Geertruyden ◽  
Oucul Lazarus ◽  
Lung Vu ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Incremental Cost ◽  
Hiv Testing ◽  
Cost Effective ◽  
Hiv Infections ◽  
Standard Of Care ◽  
Sub Saharan Africa ◽  
High Risk Population ◽  
Self Testing ◽  
The Cost

Introduction: Distribution of HIV self-testing (HIVST) kits through MSM peer networks is a novel and effective strategy to increase HIV testing coverage in this high-risk population. No study has evaluated the cost or cost effectiveness of peer distribution of HIVST strategies among MSM in sub-Saharan Africa.Methods: From June to August 2018, we conducted a pilot study of secondary MSM peer HIVST kit distribution at The AIDS Support Organization at Entebbe and Masaka. We used an ingredients approach to estimate the cost of MSM peer HIVST kit distribution relative to standard-of-care (SOC) hotspot testing using programme expenditure data reported in US dollars. The provider perspective was used to estimate incremental cost-effective ratios per HIV infection averted using the difference in HIV annual transmission rates between MSM with HIV who knew their status and were not virologically suppressed and MSM with HIV who did not know their status.Results: We enrolled 297 participants of whom 150 received MSM peer HIVST kit distribution (intervention group) and 147 received TASO standard of care HIV testing (control group). Provider cost for the intervention was $2,276 compared with $1,827 for SOC during the 3-month study period. Overall, the intervention resulted in higher HIV positivity yield (4.9 vs. 1.4%) and averted more HIV infections per quarter (0.364 vs. 0.104) compared with SOC. The cost per person tested was higher for the intervention compared to SOC ($15.90 vs. $12.40). Importantly, the cost per new HIV diagnosis ($325 vs. $914) and cost per transmission averted ($6,253 vs. $ 17,567) were lower for the intervention approach relative to SOC. The incremental cost per HIV transmission averted by the self-testing program was $1,727. The incremental cost to providers per additional HIV-positive person identified by the intervention was $147.30.Conclusion: The intervention strategy was cost-effective, and identified more undiagnosed HIV infections than SOC hotspot testing at a cost-effectiveness threshold of US $2,129. Secondary distribution of HIVST kits through peers should further be evaluated with longer duration aimed at diagnosing 95% of all persons with HIV by 2030; the first UNAIDS 95-95-95 target.

scholarly journals The Potential Epidemiological Impact of Coronavirus Disease 2019 (COVID-19) on the Human Immunodeficiency Virus (HIV) Epidemic and the Cost-effectiveness of Linked, Opt-out HIV Testing: A Modeling Study in 6 US Cities

2020 ◽  
Author(s):  
Xiao Zang ◽  
Emanuel Krebs ◽  
Siyuan Chen ◽  
Micah Piske ◽  
Wendy S Armstrong ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Hiv Testing ◽  
Risk Behaviors ◽  
Hiv Infections ◽  
Case Scenario ◽  
Opt Out ◽  
Immunodeficiency Virus ◽  
The Cost ◽  
Us Cities ◽  
Care Costs

Abstract Background Widespread viral and serological testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may present a unique opportunity to also test for human immunodeficiency virus (HIV) infection. We estimated the potential impact of adding linked, opt-out HIV testing alongside SARS-CoV-2 testing on the HIV incidence and the cost-effectiveness of this strategy in 6 US cities. Methods Using a previously calibrated dynamic HIV transmission model, we constructed 3 sets of scenarios for each city: (1) sustained current levels of HIV-related treatment and prevention services (status quo); (2) temporary disruptions in health services and changes in sexual and injection risk behaviors at discrete levels between 0%–50%; and (3) linked HIV and SARS-CoV-2 testing offered to 10%–90% of the adult population in addition to Scenario 2. We estimated the cumulative number of HIV infections between 2020–2025 and the incremental cost-effectiveness ratios of linked HIV testing over 20 years. Results In the absence of linked, opt-out HIV testing, we estimated a total of a 16.5% decrease in HIV infections between 2020–2025 in the best-case scenario (50% reduction in risk behaviors and no service disruptions), and a 9.0% increase in the worst-case scenario (no behavioral change and 50% reduction in service access). We estimated that HIV testing (offered at 10%–90% levels) could avert a total of 576–7225 (1.6%–17.2%) new infections. The intervention would require an initial investment of $20.6M–$220.7M across cities; however, the intervention would ultimately result in savings in health-care costs in each city. Conclusions A campaign in which HIV testing is linked with SARS-CoV-2 testing could substantially reduce the HIV incidence and reduce direct and indirect health care costs attributable to HIV.

scholarly journals Improved Health Outcomes from Hepatitis C Treatment Scale-Up in Spain’s Prisons: A Cost-Effectiveness Study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ozden O. Dalgic ◽  
Sumeyye Samur ◽  
Anne C. Spaulding ◽  
Susana Llerena ◽  
Carmen Cobo ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Hepatitis C ◽  
Prison Population ◽  
Scale Up ◽  
Cost Effective ◽  
Scaling Up ◽  
Status Quo ◽  
Sentence Length ◽  
Hcv Treatment ◽  
Prison Community

AbstractHepatitis C virus (HCV) is 15 times more prevalent among persons in Spain’s prisons than in the community. Recently, Spain initiated a pilot program, JAILFREE-C, to treat HCV in prisons using direct-acting antivirals (DAAs). Our aim was to identify a cost-effective strategy to scale-up HCV treatment in all prisons. Using a validated agent-based model, we simulated the HCV landscape in Spain’s prisons considering disease transmission, screening, treatment, and prison-community dynamics. Costs and disease outcomes under status quo were compared with strategies to scale-up treatment in prisons considering prioritization (HCV fibrosis stage vs. HCV prevalence of prisons), treatment capacity (2,000/year vs. unlimited) and treatment initiation based on sentence lengths (>6 months vs. any). Scaling-up treatment by treating all incarcerated persons irrespective of their sentence length provided maximum health benefits–preventing 10,200 new cases of HCV, and 8,300 HCV-related deaths between 2019–2050; 90% deaths prevented would have occurred in the community. Compared with status quo, this strategy increased quality-adjusted life year (QALYs) by 69,700 and costs by €670 million, yielding an incremental cost-effectiveness ratio of €9,600/QALY. Scaling-up HCV treatment with DAAs for the entire Spanish prison population, irrespective of sentence length, is cost-effective and would reduce HCV burden.

scholarly journals The cost effectiveness and optimal configuration of HIV self-test distribution in South Africa: a model analysis

2021 ◽  
Vol 6 (Suppl 4) ◽  
pp. e005598
Author(s):  
Lise Jamieson ◽  
Leigh F Johnson ◽  
Katleho Matsimela ◽  
Linda Alinafe Sande ◽  
Marc d'Elbée ◽  
...  
Keyword(s):  
South Africa ◽  
Cost Effectiveness ◽  
Scale Up ◽  
Cost Effective ◽  
Health Impact ◽  
Status Quo ◽  
Fractional Factorial ◽  
Self Testing ◽  
Life Years ◽  
The Impact

BackgroundHIV self-testing (HIVST) has been shown to be acceptable, feasible and effective in increasing HIV testing uptake. Novel testing strategies are critical to achieving the UNAIDS target of 95% HIV-positive diagnosis by 2025 in South Africa and globally.MethodsWe modelled the impact of six HIVST kit distribution modalities (community fixed-point, taxi ranks, workplace, partners of primary healthcare (PHC) antiretroviral therapy (ART) patients), partners of pregnant women, primary PHC distribution) in South Africa over 20 years (2020–2039), using data collected alongside the Self-Testing AfRica Initiative. We modelled two annual distribution scenarios: (A) 1 million HIVST kits (current) or (B) up to 6.7 million kits. Incremental economic costs (2019 US$) were estimated from the provider perspective; assumptions on uptake and screening positivity were based on surveys of a subset of kit recipients and modelled using the Thembisa model. Cost-effectiveness of each distribution modality compared with the status-quo distribution configuration was estimated as cost per life year saved (estimated from life years lost due to AIDS) and optimised using a fractional factorial design.ResultsThe largest impact resulted from secondary HIVST distribution to partners of ART patients at PHC (life years saved (LYS): 119 000 (scenario A); 393 000 (scenario B)). However, it was one of the least cost-effective modalities (A: $1394/LYS; B: $4162/LYS). Workplace distribution was cost-saving ($52–$76 million) and predicted to have a moderate epidemic impact (A: 40 000 LYS; B: 156 000 LYS). An optimised scale-up to 6.7 million tests would result in an almost threefold increase in LYS compared with a scale-up of status-quo distribution (216 000 vs 75 000 LYS).ConclusionOptimisation-informed distribution has the potential to vastly improve the impact of HIVST. Using this approach, HIVST can play a key role in improving the long-term health impact of investment in HIVST.

scholarly journals Climate influences on the cost-effectiveness of vector-based interventions against malaria in elimination scenarios

2015 ◽  
Vol 370 (1665) ◽  
pp. 20130557 ◽  
Author(s):  
Paul E. Parham ◽  
Dyfrig A. Hughes
Keyword(s):  
Climate Change ◽  
Cost Effectiveness ◽  
Scale Up ◽  
Indoor Residual Spraying ◽  
Cost Effective ◽  
Climatic Conditions ◽  
Economic Modelling ◽  
Optimal Intervention ◽  
Intervention Cost ◽  
The Cost

Despite the dependence of mosquito population dynamics on environmental conditions, the associated impact of climate and climate change on present and future malaria remains an area of ongoing debate and uncertainty. Here, we develop a novel integration of mosquito, transmission and economic modelling to assess whether the cost-effectiveness of indoor residual spraying (IRS) and long-lasting insecticidal nets (LLINs) against Plasmodium falciparum transmission by Anopheles gambiae s.s. mosquitoes depends on climatic conditions in low endemicity scenarios. We find that although temperature and rainfall affect the cost-effectiveness of IRS and/or LLIN scale-up, whether this is sufficient to influence policy depends on local endemicity, existing interventions, host immune response to infection and the emergence rate of insecticide resistance. For the scenarios considered, IRS is found to be more cost-effective than LLINs for the same level of scale-up, and both are more cost-effective at lower mean precipitation and higher variability in precipitation and temperature. We also find that the dependence of peak transmission on mean temperature translates into optimal temperatures for vector-based intervention cost-effectiveness. Further cost-effectiveness analysis that accounts for country-specific epidemiological and environmental heterogeneities is required to assess optimal intervention scale-up for elimination and better understand future transmission trends under climate change.

scholarly journals Cost-effectiveness of scaling up of hepatitis C screening and treatment: a modelling study in South Korea

2019 ◽  
Vol 4 (3) ◽  
pp. e001441 ◽  
Author(s):  
Jungyeon Kim ◽  
Markus Haacker ◽  
Salmaan Keshavjee ◽  
Rifat Atun
Keyword(s):  
Health Insurance ◽  
Cost Effectiveness ◽  
Hepatitis C ◽  
South Korea ◽  
Disease Burden ◽  
Adult Population ◽  
Scale Up ◽  
Cost Effective ◽  
Status Quo ◽  
Screening Population

BackgroundThe prices and the coverage of effective direct-acting antivirals (DAAs) to treat hepatitis C vary across countries. South Korea expanded DAAs coverage through national health insurance. This study aims to analyse the cost-effectiveness of scale-up of hepatitis C screening and treatment with DAAs in South Korea, a high-income country.MethodsThis study uses a compartmental age–sex structured model of progression of hepatitis C to analyse effects of different policy choices for the scale up of screening and treatment with DAAs on hepatitis C disease burden and costs from 2017 to 2050. Policy scenarios considered in our study are (1) no treatment, (2) status quo, (3) screening population aged over 60 years, (4) screening population over 40 years and (5) screening population aged over 20 years.ResultsThe continuation of current policy with the expansion of DAAs coverage is estimated to reduce the prevalence of hepatitis C antibody from 0.6% in 2015 to 0.25% in 2050 of the adult population. Status quo policy, screening from age 60, screening from age 40 and screening from age 20 are cost-effective in terms of averted infection at estimated incremental cost-effective ratio of US$101 208, US$111 770, US$107 909 and US$229 604.ConclusionsThe expansion of DAAs coverage by the national health insurance is highly effective in alleviating hepatitis C disease burden. The scale-up of screening and treatment with DAAs for targeted adult population with high prevalence of hepatitis C is cost-effective. This study provides a case for policy-makers to invest in rapid expansion of hepatitis C comprehensive screening and treatment with DAAs.

scholarly journals Diagnostic yield of genetic tests in epilepsy

Neurology ◽  
2019 ◽  
Vol 92 (5) ◽  
pp. e418-e428 ◽  
Author(s):  
Iván Sánchez Fernández ◽  
Tobias Loddenkemper ◽  
Marina Gaínza-Lein ◽  
Beth Rosen Sheidley ◽  
Annapurna Poduri
Keyword(s):  
Genetic Testing ◽  
Cost Effectiveness ◽  
Publication Bias ◽  
Diagnostic Yield ◽  
Cost Effective ◽  
Effective Strategy ◽  
Genetic Tests ◽  
Cost Effective Strategy ◽  
Testing Strategies ◽  
The Cost

ObjectiveTo compare the cost-effectiveness of genetic testing strategies in patients with epilepsy of unknown etiology.MethodsThis meta-analysis and cost-effectiveness study compared strategies involving 3 genetic tests: chromosomal microarray (CMA), epilepsy panel (EP) with deletion/duplication testing, and whole-exome sequencing (WES) in a cost-effectiveness model, using “no genetic testing” as a point of comparison.ResultsTwenty studies provided information on the diagnostic yield of CMA (8 studies), EP (9 studies), and WES (6 studies). The diagnostic yield was highest for WES: 0.45 (95% confidence interval [CI]: 0.33–0.57) (0.32 [95% CI: 0.22–0.44] adjusting for potential publication bias), followed by EP: 0.23 (95% CI: 0.18–0.29), and CMA: 0.08 (95% CI: 0.06–0.12). The most cost-effective test was WES with an incremental cost-effectiveness ratio (ICER) of $15,000/diagnosis. However, after adjusting for potential publication bias, the most cost-effective test was EP (ICER: $15,848/diagnosis) followed by WES (ICER: $34,500/diagnosis). Among combination strategies, the most cost-effective strategy was WES, then if nondiagnostic, EP, then if nondiagnostic, CMA (ICER: $15,336/diagnosis), although adjusting for potential publication bias, the most cost-effective strategy was EP ± CMA ± WES (ICER: $18,385/diagnosis). While the cost-effectiveness of individual tests and testing strategies overlapped, CMA was consistently less cost-effective than WES and EP.ConclusionWES and EP are the most cost-effective genetic tests for epilepsy. Our analyses support, for a broad population of patients with unexplained epilepsy, starting with these tests. Although less expensive, CMA has lower yield, and its use as the first-tier test is thus not supported from a cost-effectiveness perspective.

scholarly journals Engaging with the private healthcare sector for the control of tuberculosis in India: cost and cost-effectiveness

2021 ◽  
Vol 6 (10) ◽  
pp. e006114
Author(s):  
Nimalan Arinaminpathy ◽  
Arindam Nandi ◽  
Shibu Vijayan ◽  
Nita Jha ◽  
Sreenivas A Nair ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Private Sector ◽  
Scale Up ◽  
Cost Effective ◽  
Healthcare Sector ◽  
Sensitivity Testing ◽  
Uncertainty Interval ◽  
Life Years ◽  
Adherence Support ◽  
The Cost

BackgroundThe control of tuberculosis (TB) in India is complicated by the presence of a large, disorganised private sector where most patients first seek care. Following pilots in Mumbai and Patna (two major cities in India), an initiative known as the ‘Public–Private Interface Agency’ (PPIA) is now being expanded across the country. We aimed to estimate the cost-effectiveness of scaling up PPIA operations, in line with India’s National Strategic Plan for TB control.MethodsFocusing on Mumbai and Patna, we collected cost data from implementing organisations in both cities and combined this data with models of TB transmission dynamics. Estimating the cost per disability adjusted life years (DALY) averted between 2014 (the start of PPIA scale-up) and 2025, we assessed cost-effectiveness using two willingness-to-pay approaches: a WHO-CHOICE threshold based on per-capita economic productivity, and a more stringent threshold incorporating opportunity costs in the health system.FindingsA PPIA scaled up to ultimately reach 50% of privately treated TB patients in Mumbai and Patna would cost, respectively, US$228 (95% uncertainty interval (UI): 159 to 320) per DALY averted and US$564 (95% uncertainty interval (UI): 409 to 775) per DALY averted. In Mumbai, the PPIA would be cost-effective relative to all thresholds considered. In Patna, if focusing on adherence support, rather than on improved diagnosis, the PPIA would be cost-effective relative to all thresholds considered. These differences between sites arise from variations in the burden of drug resistance: among the services of a PPIA, improved diagnosis (including rapid tests with genotypic drug sensitivity testing) has greatest value in settings such as Mumbai, with a high burden of drug-resistant TB.ConclusionsTo accelerate decline in TB incidence, it is critical first to engage effectively with the private sector in India. Mechanisms such as the PPIA offer cost-effective ways of doing so, particularly when tailored to local settings.

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