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Ekramnia M, Li Y, Haddad MB, Marks SM, Kammerer JS, Swartwood NA, Cohen T, Miller JW, Horsburgh CR, Salomon JA, Menzies NA. Estimated rates of progression to tuberculosis disease for persons infected with Mycobacterium tuberculosis in the United States. Epidemiology 2024; 35:164-173. [PMID: 38290139 PMCID: PMC10832387 DOI: 10.1097/ede.0000000000001707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
BACKGROUND In the United States, over 80% of tuberculosis (TB) disease cases are estimated to result from reactivation of latent TB infection (LTBI) acquired more than 2 years previously ("reactivation TB"). We estimated reactivation TB rates for the US population with LTBI, overall, by age, sex, race-ethnicity, and US-born status, and for selected comorbidities (diabetes, end-stage renal disease, and HIV). METHODS We collated nationally representative data for 2011-2012. Reactivation TB incidence was based on TB cases reported to the National TB Surveillance System that were attributed to LTBI reactivation. Person-years at risk of reactivation TB were calculated using interferon-gamma release assay (IGRA) positivity from the National Health and Nutrition Examination Survey, published values for interferon-gamma release assay sensitivity and specificity, and population estimates from the American Community Survey. RESULTS For persons aged ≥6 years with LTBI, the overall reactivation rate was estimated as 0.072 (95% uncertainty interval: 0.047, 0.12) per 100 person-years. Estimated reactivation rates declined with age. Compared to the overall population, estimated reactivation rates were higher for persons with diabetes (adjusted rate ratio [aRR] = 1.6 [1.5, 1.7]), end-stage renal disease (aRR = 9.8 [5.4, 19]), and HIV (aRR = 12 [10, 13]). CONCLUSIONS In our study, individuals with LTBI faced small, non-negligible risks of reactivation TB. Risks were elevated for individuals with medical comorbidities that weaken immune function.
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Affiliation(s)
- Mina Ekramnia
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston MA, USA
| | - Yunfei Li
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston MA, USA
| | - Maryam B Haddad
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, U.S. Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Suzanne M Marks
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, U.S. Centers for Disease Control and Prevention, Atlanta GA, USA
| | - J Steve Kammerer
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, U.S. Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Nicole A Swartwood
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston MA, USA
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven CT, USA
| | - Jeffrey W Miller
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston MA, USA
| | - C Robert Horsburgh
- Departments of Epidemiology, Biostatistics, and Global Health, Boston University School of Public Health and Department of Medicine, Boston University School of Medicine, Boston MA USA
| | - Joshua A Salomon
- Center for Health Policy / Center for Primary Care and Outcomes Research, Stanford University, Stanford CA, USA
| | - Nicolas A Menzies
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston MA, USA
- Center for Health Decision Science, Harvard TH Chan School of Public Health, Boston MA, USA
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Holloway-Kew KL, Henneberg M. Dynamics of tuberculosis infection in various populations during the 19th and 20th century: The impact of conservative and pharmaceutical treatments. Tuberculosis (Edinb) 2023; 143S:102389. [PMID: 38012934 DOI: 10.1016/j.tube.2023.102389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 07/17/2023] [Accepted: 07/21/2023] [Indexed: 11/29/2023]
Abstract
Humans and Mycobacterium tuberculosis have co-evolved together for thousands of years. Many individuals are infected with the bacterium, but few show signs and symptoms of tuberculosis (TB). Pharmacotherapy to treat those who develop disease is useful, but drug resistance and non-adherence significantly impact the efficacy of these treatments. Prior to the introduction of antibiotic therapies, public health strategies were used to reduce TB mortality. This work shows how these strategies were able to reduce TB mortality in 19th and 20th century populations, compared with antibiotic treatments. Previously published mortality data from historical records for several populations (Switzerland, Germany, England and Wales, Scotland, USA, Japan, Brazil and South Africa) were used. Curvilinear regression was used to examine the reduction in mortality before and after the introduction of antibiotic treatments (1946). A strong decline in TB mortality was already occurring in Switzerland, Germany, England and Wales, Scotland and the USA prior to the introduction of antibiotic treatment. This occurred following many public health interventions including improved sanitation, compulsory reporting of TB cases, diagnostic techniques and sanatoria treatments. Following the introduction of antibiotics, mortality rates declined further, however, this had a smaller effect than the previously employed strategies. In Japan, Brazil and South Africa, reductions in mortality rates were largely driven by antibiotic treatments that caused rapid decline of mortality, with a smaller contribution from public health strategies. For the development of active disease, immune status is important. Individuals infected with the bacterium are more likely to develop signs and symptoms if their immune function is reduced. Effective strategies against TB can therefore include enhancing immune function of the population by improving nutrition, as well as reducing transmission by improving living conditions and public health. This has been effective in the past. Improving immunity may be an important strategy against drug resistant TB.
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Affiliation(s)
- K L Holloway-Kew
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
| | - M Henneberg
- Biological Anthropology and Comparative Anatomy Research Unit, School of Biomedicine, University of Adelaide, Australia; Institute of Evolutionary Medicine, University of Zurich, Switzerland.
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3
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Marks SM, Self JL, Venkatappa T, Wolff MB, Hopkins PB, Augustine RJ, Khan A, Schwartz NG, Schmit KM, Morris SB. Diagnosis, Treatment, and Prevention of Tuberculosis Among People Experiencing Homelessness in the United States: Current Recommendations. Public Health Rep 2023; 138:896-907. [PMID: 36703605 PMCID: PMC10576477 DOI: 10.1177/00333549221148173] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVE Tuberculosis (TB) is a public health problem, especially among people experiencing homelessness (PEH). The Advisory Council for the Elimination of Tuberculosis issued recommendations in 1992 for TB prevention and control among PEH. Our goal was to provide current guidelines and information in one place to inform medical and public health providers and TB programs on TB incidence, diagnosis, and treatment among PEH. METHODS We reviewed and synthesized diagnostic and treatment recommendations for TB disease and latent TB infection (LTBI) as of 2022 and information after 1992 on the magnitude of homelessness in the United States, the incidence of TB among PEH, the role of public health departments in TB case management among PEH, and recently published evidence. RESULTS In 2018, there were 1.45 million estimated PEH in the United States. During the past 2 decades, the incidence of TB was >10 times higher and the prevalence of LTBI was 7 to 20 times higher among PEH than among people not experiencing homelessness. TB outbreaks were common in overnight shelters. Permanent housing for PEH and the use of rapid TB diagnostic tests, along with isolation and treatment, reduced TB exposure among PEH. The use of direct observation enhanced treatment adherence among PEH, as did involvement of social workers to help secure shelter, food, safety, and treatment for comorbidities, especially HIV and substance use disorders. Testing and treatment for LTBI prevented progression to TB disease, and shorter LTBI regimens helped improve adherence. Federal agencies and the National Health Care for the Homeless Council have helpful resources. CONCLUSION Improvements in TB diagnosis, treatment, and prevention among PEH are possible by following existing recommendations and using client-centered approaches.
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Affiliation(s)
- Suzanne M. Marks
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Julie L. Self
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Thara Venkatappa
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Marilyn B. Wolff
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Peri B. Hopkins
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ryan J. Augustine
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Awal Khan
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Noah G. Schwartz
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Kristine M. Schmit
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sapna Bamrah Morris
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
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Swartwood NA, Testa C, Cohen T, Marks SM, Hill AN, Beeler Asay G, Cochran J, Cranston K, Randall LM, Tibbs A, Horsburgh CR, Salomon JA, Menzies NA. Tabby2: a user-friendly web tool for forecasting state-level TB outcomes in the United States. BMC Med 2023; 21:331. [PMID: 37649031 PMCID: PMC10469407 DOI: 10.1186/s12916-023-02785-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 02/13/2023] [Indexed: 09/01/2023] Open
Abstract
BACKGROUND In the United States, the tuberculosis (TB) disease burden and associated factors vary substantially across states. While public health agencies must choose how to deploy resources to combat TB and latent tuberculosis infection (LTBI), state-level modeling analyses to inform policy decisions have not been widely available. METHODS We developed a mathematical model of TB epidemiology linked to a web-based user interface - Tabby2. The model is calibrated to epidemiological and demographic data for the United States, each U.S. state, and the District of Columbia. Users can simulate pre-defined scenarios describing approaches to TB prevention and treatment or create their own intervention scenarios. Location-specific results for epidemiological outcomes, service utilization, costs, and cost-effectiveness are reported as downloadable tables and customizable visualizations. To demonstrate the tool's functionality, we projected trends in TB outcomes without additional intervention for all 50 states and the District of Columbia. We further undertook a case study of expanded treatment of LTBI among non-U.S.-born individuals in Massachusetts, covering 10% of the target population annually over 2025-2029. RESULTS Between 2022 and 2050, TB incidence rates were projected to decline in all states and the District of Columbia. Incidence projections for the year 2050 ranged from 0.03 to 3.8 cases (median 0.95) per 100,000 persons. By 2050, we project that majority (> 50%) of TB will be diagnosed among non-U.S.-born persons in 46 states and the District of Columbia; per state percentages range from 17.4% to 96.7% (median 83.0%). In Massachusetts, expanded testing and treatment for LTBI in this population was projected to reduce cumulative TB cases between 2025 and 2050 by 6.3% and TB-related deaths by 8.4%, relative to base case projections. This intervention had an incremental cost-effectiveness ratio of $180,951 (2020 USD) per quality-adjusted life year gained from the societal perspective. CONCLUSIONS Tabby2 allows users to estimate the costs, impact, and cost-effectiveness of different TB prevention approaches for multiple geographic areas in the United States. Expanded testing and treatment for LTBI could accelerate declines in TB incidence in the United States, as demonstrated in the Massachusetts case study.
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Affiliation(s)
- Nicole A Swartwood
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, 02120, USA.
| | - Christian Testa
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Suzanne M Marks
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Andrew N Hill
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Garrett Beeler Asay
- Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jennifer Cochran
- Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA
| | - Kevin Cranston
- Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA
| | - Liisa M Randall
- Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA
| | - Andrew Tibbs
- Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA
| | - C Robert Horsburgh
- Departments of Epidemiology, Biostatistics, Global Health and Medicine, Boston University Schools of Public Health and Medicine, Boston, MA, USA
| | - Joshua A Salomon
- Center for Health Policy / Center for Primary Care and Outcomes Research, Stanford University, Stanford, USA
| | - Nicolas A Menzies
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, 02120, USA
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5
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Kota NT, Shrestha S, Kashkary A, Samina P, Zwerling A. The Global Expansion of LTBI Screening and Treatment Programs: Exploring Gaps in the Supporting Economic Evidence. Pathogens 2023; 12:pathogens12030500. [PMID: 36986422 PMCID: PMC10054594 DOI: 10.3390/pathogens12030500] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/03/2023] [Accepted: 03/14/2023] [Indexed: 03/30/2023] Open
Abstract
The global burden of latent TB infection (LTBI) and the progression of LTBI to active TB disease are important drivers of ongoing TB incidence. Addressing LTBI through screening and TB preventive treatment (TPT) is critical in order to end the TB epidemic by 2035. Given the limited resources available to health ministries around the world in the fight against TB, we must consider economic evidence for LTBI screening and treatment strategies to ensure that limited resources are used to achieve the biggest health impact. In this narrative review, we explore key economic evidence around LTBI screening and TPT strategies in different populations to summarize our current understanding and highlight gaps in existing knowledge. When considering economic evidence supporting LTBI screening or evaluating different testing approaches, a disproportionate number of economic studies have been conducted in high-income countries (HICs), despite the vast majority of TB burden being borne in low- and middle-income countries (LMICs). Recent years have seen a temporal shift, with increasing data from low- and middle-income countries (LMICs), particularly with regard to targeting high-risk groups for TB prevention. While LTBI screening and prevention programs can come with extensive costs, targeting LTBI screening among high-risk populations, such as people living with HIV (PLHIV), children, household contacts (HHC) and immigrants from high-TB-burden countries, has been shown to consistently improve the cost effectiveness of screening programs. Further, the cost effectiveness of different LTBI screening algorithms and diagnostic approaches varies widely across settings, leading to different national TB screening policies. Novel shortened regimens for TPT have also consistently been shown to be cost effective across a range of settings. These economic evaluations highlight key implementation considerations such as the critical nature of ensuring high rates of adherence and completion, despite the costs associated with adherence programs not being routinely assessed and included. Digital and other adherence support approaches are now being assessed for their utility and cost effectiveness in conjunction with novel shortened TPT regimens, but more economic evidence is needed to understand the potential cost savings, particularly in settings where directly observed preventive therapy (DOPT) is routinely conducted. Despite the growth of the economic evidence base for LTBI screening and TPT recently, there are still significant gaps in the economic evidence around the scale-up and implementation of expanded LTBI screening and treatment programs, particularly among traditionally hard-to-reach populations.
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Affiliation(s)
| | - Suvesh Shrestha
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON K1G 5Z3, Canada
| | - Abdulhameed Kashkary
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON K1G 5Z3, Canada
- Public Health Authority, Riyadh 13351, Saudi Arabia
| | - Pushpita Samina
- Center for Health Economics and Policy Analysis, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Alice Zwerling
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON K1G 5Z3, Canada
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6
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Fofana AM, Moultrie H, Scott L, Jacobson KR, Shapiro AN, Dor G, Crankshaw B, Silva PD, Jenkins HE, Bor J, Stevens WS. Cross-municipality migration and spread of tuberculosis in South Africa. Sci Rep 2023; 13:2674. [PMID: 36792792 PMCID: PMC9930008 DOI: 10.1038/s41598-023-29804-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 02/10/2023] [Indexed: 02/17/2023] Open
Abstract
Human migration facilitates the spread of infectious disease. However, little is known about the contribution of migration to the spread of tuberculosis in South Africa. We analyzed longitudinal data on all tuberculosis test results recorded by South Africa's National Health Laboratory Service (NHLS), January 2011-July 2017, alongside municipality-level migration flows estimated from the 2016 South African Community Survey. We first assessed migration patterns in people with laboratory-diagnosed tuberculosis and analyzed demographic predictors. We then quantified the impact of cross-municipality migration on tuberculosis incidence in municipality-level regression models. The NHLS database included 921,888 patients with multiple clinic visits with TB tests. Of these, 147,513 (16%) had tests in different municipalities. The median (IQR) distance travelled was 304 (163 to 536) km. Migration was most common at ages 20-39 years and rates were similar for men and women. In municipality-level regression models, each 1% increase in migration-adjusted tuberculosis prevalence was associated with a 0.47% (95% CI: 0.03% to 0.90%) increase in the incidence of drug-susceptible tuberculosis two years later, even after controlling for baseline prevalence. Similar results were found for rifampicin-resistant tuberculosis. Accounting for migration improved our ability to predict future incidence of tuberculosis.
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Affiliation(s)
- Abdou M Fofana
- Institute for Health System Innovation & Policy, Boston University, Questrom School of Business, Boston, USA.
- Boston University School of Public Health, Boston, USA.
| | - Harry Moultrie
- Centre for Tuberculosis, National Institute for Communicable Diseases, a division of the National Health Laboratory Services, Johannesburg, South Africa
| | - Lesley Scott
- Wits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Karen R Jacobson
- Section of Infectious Diseases, Boston University School of Medicine and Boston Medical Center, Boston, USA
| | | | - Graeme Dor
- Wits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Beth Crankshaw
- Centre for Tuberculosis, National Institute for Communicable Diseases, a division of the National Health Laboratory Services, Johannesburg, South Africa
| | - Pedro Da Silva
- National Health Laboratory Service, Johannesburg, South Africa
| | | | - Jacob Bor
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Boston University School of Public Health, Boston, USA
| | - Wendy S Stevens
- Wits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- National Health Laboratory Service, Johannesburg, South Africa
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7
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Tang AS, Mochizuki T, Dong Z, Flood J, Katrak SS. Can Primary Care Drive Tuberculosis Elimination? Increasing Latent Tuberculosis Infection Testing and Treatment Initiation at a Community Health Center with a Large Non-U.S.-born Population. J Immigr Minor Health 2023:10.1007/s10903-022-01438-1. [PMID: 36652151 PMCID: PMC9847435 DOI: 10.1007/s10903-022-01438-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2022] [Indexed: 01/19/2023]
Abstract
Community health centers (CHC) play a key role in latent tuberculosis infection (LTBI) testing and treatment. We performed a retrospective analysis of LTBI testing and treatment among pediatric and adult patients at a CHC with a large non-U.S.-born (USB) population during a series of quality improvement (QI) interventions from 2010 to 2019. Among 124,695 patients with primary care visits, 40% of patients were tested for tuberculosis (TB) infection and among those tested, 20% tested positive, including 39% of adults aged 50-79 years. Compared to adults aged 18-49 years, children aged 6-17 had increased odds of LTBI testing and treatment initiation [odds ratio and 95% confidence interval 3.23 (3.10, 3.36) and 1.41 (1.12, 1.79), respectively], while age ≥ 65 was associated with lower odds of both testing and treatment initiation. Over the analysis period, coinciding with unfunded QI interventions intended to reduce barriers to LTBI care, there was a significant increase in the proportion of patients receiving LTBI testing for both adults (6% to 47%, p < 0.001) and children (23% to 80%, p < 0.001). During the analysis period, there was also a significant increase in the proportion of patients receiving prescriptions for LTBI treatment, as well as provider use of evidence-based strategies including rifamycin-based treatment. Our study suggests that primary care interventions can reduce barriers to LTBI treatment and drive TB elimination.
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Affiliation(s)
- Amy S. Tang
- North East Medical Services, 1520 Stockton St., San Francisco, CA 94133 USA
| | - Tessa Mochizuki
- grid.236815.b0000 0004 0442 6631Tuberculosis Control Branch, California Department of Public Health, Richmond, CA USA
| | - Zinnia Dong
- North East Medical Services, 1520 Stockton St., San Francisco, CA 94133 USA
| | - Jennifer Flood
- grid.236815.b0000 0004 0442 6631Tuberculosis Control Branch, California Department of Public Health, Richmond, CA USA
| | - Shereen S. Katrak
- grid.236815.b0000 0004 0442 6631Tuberculosis Control Branch, California Department of Public Health, Richmond, CA USA ,grid.266102.10000 0001 2297 6811Division of Infectious Diseases, University of California, San Francisco, San Francisco, CA USA
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8
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Baggaley RF, Vegvari C, Dimala CA, Lipman M, Miller RF, Brown J, Degtyareva S, White HA, Hollingsworth TD, Pareek M. Health economic analyses of latent tuberculosis infection screening and preventive treatment among people living with HIV in lower tuberculosis incidence settings: a systematic review. Wellcome Open Res 2023; 6:51. [PMID: 37025515 PMCID: PMC10071141.2 DOI: 10.12688/wellcomeopenres.16604.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/09/2022] [Indexed: 01/07/2023] Open
Abstract
Introduction: In lower tuberculosis (TB) incidence countries (<100 cases/100,000/year), screening and preventive treatment (PT) for latent TB infection (LTBI) among people living with HIV (PLWH) is often recommended, yet guidelines advising which groups to prioritise for screening can be contradictory and implementation patchy. Evidence of LTBI screening cost-effectiveness may improve uptake and health outcomes at reasonable cost. Methods: Our systematic review assessed cost-effectiveness estimates of LTBI screening/PT strategies among PLWH in lower TB incidence countries to identify model-driving inputs and methodological differences. Databases were searched 1980-2020. Studies including health economic evaluation of LTBI screening of PLWH in lower TB incidence countries (<100 cases/100,000/year) were included. Results: Of 2,644 articles screened, nine studies were included. Cost-effectiveness estimates of LTBI screening/PT for PLWH varied widely, with universal screening/PT found highly cost-effective by some studies, while only targeting to high-risk groups (such as those from mid/high TB incidence countries) deemed cost-effective by others. Cost-effectiveness of strategies screening all PLWH from studies published in the past five years varied from US$2828 to US$144,929/quality-adjusted life-year gained (2018 prices). Study quality varied, with inconsistent reporting of methods and results limiting comparability of studies. Cost-effectiveness varied markedly by screening guideline, with British HIV Association guidelines more cost-effective than NICE guidelines in the UK. Discussion: Cost-effectiveness studies of LTBI screening/PT for PLWH in lower TB incidence settings are scarce, with large variations in methods and assumptions used, target populations and screening/PT strategies evaluated. The limited evidence suggests LTBI screening/PT may be cost-effective for some PLWH groups but further research is required, particularly on strategies targeting screening/PT to PLWH at higher risk. Standardisation of model descriptions and results reporting could facilitate reliable comparisons between studies, particularly to identify those factors driving the wide disparity between cost-effectiveness estimates. Registration: PROSPERO CRD42020166338 (18/03/2020).
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Affiliation(s)
- Rebecca F. Baggaley
- Department of Population Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
| | - Carolin Vegvari
- Department of Infectious Disease Epidemiology, Imperial College London, London, UK
- UCL Respiratory, University College London, London, UK
| | - Christian A. Dimala
- Department of Population Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
| | - Marc Lipman
- Royal Free London National Health Service Foundation Trust, London, UK
- RUDN University, Moscow, Russian Federation
| | | | | | - Svetlana Degtyareva
- Department of Infection and HIV Medicine, University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | | | - Manish Pareek
- Big Data Institute, University of Oxford, Oxford, UK
- Department of Respiratory Sciences, University of Leicester, Leicester, LE1 7RH, UK
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9
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Association of Area-Based Socioeconomic Measures with Tuberculosis Incidence in California. J Immigr Minor Health 2022; 25:643-652. [PMID: 36445646 PMCID: PMC9707420 DOI: 10.1007/s10903-022-01424-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/01/2022] [Indexed: 11/30/2022]
Abstract
We assessed the association of area-based socio-economic status (SES) measures with tuberculosis (TB) incidence in California. We used TB disease data for 2012-2016 (n = 9901), population estimates, and SES measures to calculate incidence rates, rate ratios, and 95% confidence intervals (95% CI) by SES and birth country. SES was measured by census tract and was categorized by quartiles for education, crowding, and the California Healthy Places Index (HPI)and by specific cutoffs for poverty. The lowest SES areas defined by education, crowding, poverty, and HPI had 39%, 40%, 41%, and 33% of TB cases respectively. SES level was inversely associated with TB incidence across all SES measures and birth countries. TB rates were 3.2 (95% CI 3.0-3.4), 2.1 (95% CI 1.9-2.2), 3.6 (95% CI 3.3-3.8), and 2.0 (95% CI 1.9-2.1) times higher in lowest SES areas vs. highest SES areas as defined by education, crowding, poverty and HPI respectively. Area-based SES measures are associated with TB incidence in California. This information could inform TB prevention efforts in terms of materials, partnerships, and prioritization.
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10
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Mahon J, Beale S, Holmes H, Arber M, Nikolayevskyy V, Alagna R, Manissero D, Dowdy D, Migliori GB, Sotgiu G, Duarte R. A systematic review of cost-utility analyses of screening methods in latent tuberculosis infection in high-risk populations. BMC Pulm Med 2022; 22:375. [PMID: 36199061 PMCID: PMC9533619 DOI: 10.1186/s12890-022-02149-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 09/05/2022] [Indexed: 11/10/2022] Open
Abstract
Background The World Health Organisation (WHO) recommends that testing and treatment for latent tuberculosis infection (LTBI) should be undertaken in high-risk groups using either interferon gamma release assays (IGRAs) or a tuberculin skin test (TST). As IGRAs are more expensive than TST, an assessment of the cost-effectiveness of IGRAs can guide decision makers on the most appropriate choice of test for different high-risk populations. This current review aimed to provide the most up to date evidence on the cost-effectiveness evidence on LTBI testing in high-risk groups—specifically evidence reporting the costs per QALY of different testing strategies.
Methods A comprehensive search of databases including MEDLINE, EMBASE and NHS-EED was undertaken from 2011 up to March 2021. Studies were screened and extracted by two independent reviewers. The study quality was assessed using the Bias in Economic Evaluation Checklist (ECOBIAS). A narrative synthesis of the included studies was undertaken. Results Thirty-two studies reported in thirty-three documents were included in this review. Quality of included studies was generally high, although there was a weakness across all studies referencing sources correctly and/or justifying choices of parameter values chosen or assumptions where parameter values were not available. Inclusions of IGRAs in testing strategies was consistently found across studies to be cost-effective but this result was sensitive to underlying LTBI prevalence rates. Conclusion While some concerns remain about uncertainty in parameter values used across included studies, the evidence base since 2010 has grown with modelling approaches addressing the weakness pointed out in previous reviews but still reaching the same conclusion that IGRAs are likely to be cost-effective in high-income countries for high-risk populations. Evidence is also required on the cost-effectiveness of different strategies in low to middle income countries and countries with high TB burden.
Supplementary Information The online version contains supplementary material available at 10.1186/s12890-022-02149-x.
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Affiliation(s)
- James Mahon
- York Health Economics Consortium, University of York, York, UK.
| | - Sophie Beale
- York Health Economics Consortium, University of York, York, UK
| | - Hayden Holmes
- York Health Economics Consortium, University of York, York, UK
| | - Mick Arber
- York Health Economics Consortium, University of York, York, UK
| | | | | | | | - David Dowdy
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Giovanni Battista Migliori
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy
| | - Giovanni Sotgiu
- Scinze Mediche Chirurgiche E Sperimentali, Universita' degli Studi di Sassari, Sassari, Italy
| | - Raquel Duarte
- EPI Unit, Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal.,Unidade de Investigação Clínica da Administração Regional de Saúde do Norte, Porto, Portugal.,Departamento de Ciências de Saúde Pública, Ciências Forenses e Educação Médica, Universidade do Porto, Porto, Portugal.,Serviço de Pneumologia, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
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Care cascade of tuberculosis infection treatment for people living with HIV in the era of antiretroviral therapy scale-up. Sci Rep 2022; 12:16136. [PMID: 36167744 PMCID: PMC9515204 DOI: 10.1038/s41598-022-20394-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 09/13/2022] [Indexed: 11/26/2022] Open
Abstract
Testing and treatment of tuberculosis infection (TBI) are recommended for people living with HIV (PLWH). We aimed to evaluate the care cascade of TBI treatment among PLWH in the era of antiretroviral therapy (ART) scale-up. This retrospective study included adult PLWH undergoing interferon-gamma release assay (IGRA)-based TBI screening during 2019–2021. PLWH testing IGRA-positive were advised to receive directly-observed therapy for TBI after active TB disease was excluded. The care cascade was evaluated to identify barriers to TBI management. Among 7951 PLWH with a median age of 38 years and CD4 count of 616 cells/mm3, 420 (5.3%) tested positive and 38 (0.5%) indeterminate for IGRA. The TBI treatment initiation rate was 73.6% (309/420) and the completion rate was 91.9% (284/309). More than 80% of PLWH concurrently received short-course rifapentine-based regimens and integrase strand transfer inhibitor (InSTI)-containing ART. The main barrier to treatment initiation was physicians’ concerns and patients’ refusal (85.6%). The factors associated with treatment non-completion were older age, female, anti-HCV positivity, and higher plasma HIV RNA. Our observation of a high TBI completion rate among PLWH is mainly related to the introduction of short-course rifapentine-based regimens in the InSTI era, which can be the strategy to improve TBI treatment uptake.
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Marx FM, Hauer B, Menzies NA, Haas W, Perumal N. Targeting screening and treatment for latent tuberculosis infection towards asylum seekers from high-incidence countries - a model-based cost-effectiveness analysis. BMC Public Health 2021; 21:2172. [PMID: 34836526 PMCID: PMC8622109 DOI: 10.1186/s12889-021-12142-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 11/01/2021] [Indexed: 11/26/2022] Open
Abstract
Background Enhancing tuberculosis (TB) prevention and care in a post-COVID-19-pandemic phase will be essential to ensure progress towards global TB elimination. In low-burden countries, asylum seekers constitute an important high-risk group. TB frequently arises post-immigration due to the reactivation of latent TB infection (LTBI). Upon-entry screening for LTBI and TB preventive treatment (TPT) are considered worthwhile if targeted to asylum seekers from high-incidence countries who usually present with higher rates of LTBI. However, there is insufficient knowledge about optimal incidence thresholds above which introduction could be cost-effective. We aimed to estimate, among asylum seekers in Germany, the health impact and costs of upon-entry LTBI screening/TPT introduced at different thresholds of country-of-origin TB incidence. Methods We sampled hypothetical cohorts of 30–45 thousand asylum seekers aged 15 to 34 years expected to arrive in Germany in 2022 from cohorts of first-time applicants observed in 2017–2019. We modelled LTBI prevalence as a function of country-of-origin TB incidence fitted to data from observational studies. We then used a probabilistic decision-analytic model to estimate health-system costs and quality-adjusted life years (QALYs) under interferon gamma release assay (IGRA)-based screening for LTBI and rifampicin-based TPT (daily, 4 months). Incremental cost-effectiveness ratios (ICERs) were calculated for scenarios of introducing LTBI screening/TPT at different incidence thresholds. Results We estimated that among 15- to 34-year-old asylum seekers arriving in Germany in 2022, 17.5% (95% uncertainty interval: 14.2–21.6%) will be latently infected. Introducing LTBI screening/TPT above 250 per 100,000 country-of-origin TB incidence would gain 7.3 (2.7–14.8) QALYs at a cost of €51,000 (€18,000–€114,100) per QALY. Lowering the threshold to ≥200 would cost an incremental €53,300 (€19,100–€122,500) per additional QALY gained relative to the ≥250 threshold scenario; ICERs for the ≥150 and ≥ 100 thresholds were €55,900 (€20,200–€128,200) and €62,000 (€23,200–€142,000), respectively, using the next higher threshold as a reference, and considerably higher at thresholds below 100. Conclusions LTBI screening and TPT among 15- to 34-year-old asylum seekers arriving in Germany could produce health benefits at reasonable additional cost (with respect to international benchmarks) if introduced at incidence thresholds ≥100. Empirical trials are needed to investigate the feasibility and effectiveness of this approach.
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Affiliation(s)
- Florian M Marx
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin, Germany. .,Department of Paediatrics and Child Health, Desmond Tutu TB Centre, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. .,DSI-NRF South African Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.
| | - Barbara Hauer
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin, Germany
| | - Nicolas A Menzies
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Walter Haas
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin, Germany
| | - Nita Perumal
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin, Germany.,Immunization Unit, Department for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany
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Economic and modeling evidence for tuberculosis preventive therapy among people living with HIV: A systematic review and meta-analysis. PLoS Med 2021; 18:e1003712. [PMID: 34520463 PMCID: PMC8439468 DOI: 10.1371/journal.pmed.1003712] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 06/27/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Human immunodeficiency virus (HIV) is the strongest known risk factor for tuberculosis (TB) through its impairment of T-cell immunity. Tuberculosis preventive treatment (TPT) is recommended for people living with HIV (PLHIV) by the World Health Organization, as it significantly reduces the risk of developing TB disease. We conducted a systematic review and meta-analysis of modeling studies to summarize projected costs, risks, benefits, and impacts of TPT use among PLHIV on TB-related outcomes. METHODS AND FINDINGS We searched MEDLINE, Embase, and Web of Science from inception until December 31, 2020. Two reviewers independently screened titles, abstracts, and full texts; extracted data; and assessed quality. Extracted data were summarized using descriptive analysis. We performed quantile regression and random effects meta-analysis to describe trends in cost, effectiveness, and cost-effectiveness outcomes across studies and identified key determinants of these outcomes. Our search identified 6,615 titles; 61 full texts were included in the final review. Of the 61 included studies, 31 reported both cost and effectiveness outcomes. A total of 41 were set in low- and middle-income countries (LMICs), while 12 were set in high-income countries (HICs); 2 were set in both. Most studies considered isoniazid (INH)-based regimens 6 to 2 months long (n = 45), or longer than 12 months (n = 11). Model parameters and assumptions varied widely between studies. Despite this, all studies found that providing TPT to PLHIV was predicted to be effective at averting TB disease. No TPT regimen was substantially more effective at averting TB disease than any other. The cost of providing TPT and subsequent downstream costs (e.g. post-TPT health systems costs) were estimated to be less than $1,500 (2020 USD) per person in 85% of studies that reported cost outcomes (n = 36), regardless of study setting. All cost-effectiveness analyses concluded that providing TPT to PLHIV was potentially cost-effective compared to not providing TPT. In quantitative analyses, country income classification, consideration of antiretroviral therapy (ART) use, and TPT regimen use significantly impacted cost-effectiveness. Studies evaluating TPT in HICs suggested that TPT may be more effective at preventing TB disease than studies evaluating TPT in LMICs; pooled incremental net monetary benefit, given a willingness-to-pay threshold of country-level per capita gross domestic product (GDP), was $271 in LMICs (95% confidence interval [CI] -$81 to $622, p = 0.12) and was $2,568 in HICs (-$32,115 to $37,251, p = 0.52). Similarly, TPT appeared to be more effective at averting TB disease in HICs; pooled percent reduction in active TB incidence was 20% (13% to 27%, p < 0.001) in LMICs and 37% (-34% to 100%, p = 0.13) in HICs. Key limitations of this review included the heterogeneity of input parameters and assumptions from included studies, which limited pooling of effect estimates, inconsistent reporting of model parameters, which limited sample sizes of quantitative analyses, and database bias toward English publications. CONCLUSIONS The body of literature related to modeling TPT among PLHIV is large and heterogeneous, making comparisons across studies difficult. Despite this variability, all studies in all settings concluded that providing TPT to PLHIV is potentially effective and cost-effective for preventing TB disease.
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State-level prevalence estimates of latent tuberculosis infection in the United States by medical risk factors, demographic characteristics and nativity. PLoS One 2021; 16:e0249012. [PMID: 33793612 PMCID: PMC8016318 DOI: 10.1371/journal.pone.0249012] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 03/09/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Preventing tuberculosis (TB) disease requires treatment of latent TB infection (LTBI) as well as prevention of person-to-person transmission. We estimated the LTBI prevalence for the entire United States and for each state by medical risk factors, age, and race/ethnicity, both in the total population and stratified by nativity. METHODS We created a mathematical model using all incident TB disease cases during 2013-2017 reported to the National Tuberculosis Surveillance System that were classified using genotype-based methods or imputation as not attributed to recent TB transmission. Using the annual average number of TB cases among US-born and non-US-born persons by medical risk factor, age group, and race/ethnicity, we applied population-specific reactivation rates (and corresponding 95% confidence intervals [CI]) to back-calculate the estimated prevalence of untreated LTBI in each population for the United States and for each of the 50 states and the District of Columbia in 2015. RESULTS We estimated that 2.7% (CI: 2.6%-2.8%) of the U.S. population, or 8.6 (CI: 8.3-8.8) million people, were living with LTBI in 2015. Estimated LTBI prevalence among US-born persons was 1.0% (CI: 1.0%-1.1%) and among non-US-born persons was 13.9% (CI: 13.5%-14.3%). Among US-born persons, the highest LTBI prevalence was in persons aged ≥65 years (2.1%) and in persons of non-Hispanic Black race/ethnicity (3.1%). Among non-US-born persons, the highest LTBI prevalence was estimated in persons aged 45-64 years (16.3%) and persons of Asian and other racial/ethnic groups (19.1%). CONCLUSIONS Our estimations of the prevalence of LTBI by medical risk factors and demographic characteristics for each state could facilitate planning for testing and treatment interventions to eliminate TB in the United States. Our back-calculation method feasibly estimates untreated LTBI prevalence and can be updated using future TB disease case counts at the state or national level.
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Baggaley RF, Vegvari C, Dimala CA, Lipman M, Miller RF, Brown J, Degtyareva S, White HA, Hollingsworth TD, Pareek M. Health economic analyses of latent tuberculosis infection screening and preventive treatment among people living with HIV in lower tuberculosis incidence settings: a systematic review. Wellcome Open Res 2021; 6:51. [PMID: 37025515 PMCID: PMC10071141 DOI: 10.12688/wellcomeopenres.16604.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2021] [Indexed: 11/20/2022] Open
Abstract
Introduction: In lower tuberculosis (TB) incidence countries (<100 cases/100,000/year), screening and preventive treatment (PT) for latent TB infection (LTBI) among people living with HIV (PLWH) is often recommended, yet guidelines advising which groups to prioritise for screening can be contradictory and implementation patchy. Evidence of LTBI screening cost-effectiveness may improve uptake and health outcomes at reasonable cost. Methods: Our systematic review assessed cost-effectiveness estimates of LTBI screening/PT strategies among PLWH in lower TB incidence countries to identify model-driving inputs and methodological differences. Databases were searched 1980-2020. Studies including health economic evaluation of LTBI screening of PLWH in lower TB incidence countries (<100 cases/100,000/year) were included. Study quality was assessed using the CHEERS checklist. Results: Of 2,644 articles screened, nine studies were included. Cost-effectiveness estimates of LTBI screening/PT for PLWH varied widely, with universal screening/PT found highly cost-effective by some studies, while only targeting to high-risk groups (such as those from mid/high TB incidence countries) deemed cost-effective by others. Cost-effectiveness of strategies screening all PLWH from studies published in the past five years varied from US$2828 to US$144,929/quality-adjusted life-year gained (2018 prices). Study quality varied, with inconsistent reporting of methods and results limiting comparability of studies. Cost-effectiveness varied markedly by screening guideline, with British HIV Association guidelines more cost-effective than NICE guidelines in the UK. Discussion: Cost-effectiveness studies of LTBI screening/PT for PLWH in lower TB incidence settings are scarce, with large variations in methods and assumptions used, target populations and screening/PT strategies evaluated. The limited evidence suggests LTBI screening/PT may be cost-effective for some PLWH groups but further research is required, particularly on strategies targeting screening/PT to PLWH at higher risk. Standardisation of model descriptions and results reporting could facilitate reliable comparisons between studies, particularly to identify those factors driving the wide disparity between cost-effectiveness estimates. Registration: PROSPERO CRD42020166338 (18/03/2020).
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Affiliation(s)
- Rebecca F. Baggaley
- Department of Population Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
| | - Carolin Vegvari
- Department of Infectious Disease Epidemiology, Imperial College London, London, UK
- UCL Respiratory, University College London, London, UK
| | - Christian A. Dimala
- Department of Population Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
| | - Marc Lipman
- Royal Free London National Health Service Foundation Trust, London, UK
- RUDN University, Moscow, Russian Federation
| | | | | | - Svetlana Degtyareva
- Department of Infection and HIV Medicine, University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | | | - Manish Pareek
- Big Data Institute, University of Oxford, Oxford, UK
- Department of Respiratory Sciences, University of Leicester, Leicester, LE1 7RH, UK
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