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1.
Eur J Health Econ ; 22(3): 445-454, 2021 Apr.
Article in English | MEDLINE | ID: mdl-33559787

ABSTRACT

INTRODUCTION: The majority of tuberculosis (TB) cases in Sweden occur among migrants from endemic countries through activation of latent tuberculosis infection (LTBI). Sweden has LTBI-screening policies for migrants that have not been previously evaluated. This study aimed to assess the cost-effectiveness of the current screening strategy in Stockholm. METHODS: A Markov model was developed to predict the costs and effects of the current LTBI-screening program compared to a scenario of no LTBI screening over a 50-year time horizon. Epidemiological and cost data were obtained from local sources when available. The primary outcomes were incremental cost-effectiveness ratio (ICER) in terms of societal cost per quality-adjusted life year (QALY). RESULTS: Screening migrants in the age group 13-19 years had the lowest ICER, 300,082 Swedish Kronor (SEK)/QALY, which is considered cost-effective in Sweden. In the age group 20-34, ICER was 714,527 SEK/QALY (moderately cost-effectives) and in all age groups above 34 ICERs were above 1,000,000 SEK/QALY (not cost-effective). ICER decreased with increasing TB incidence in country of origin. CONCLUSION: Screening is cost-effective for young cohorts, mainly between 13 and 19, while cost-effectiveness in age group 20-34 years could be enhanced by focusing on migrants from highest incidence countries and/or by increasing the LTBI treatment initiation rate. Screening is not cost-effective in older cohorts regardless of the country of origin.


Subject(s)
Latent Tuberculosis , Transients and Migrants , Tuberculosis , Adolescent , Adult , Aged , Cost-Benefit Analysis , Humans , Latent Tuberculosis/diagnosis , Latent Tuberculosis/epidemiology , Mass Screening , Quality-Adjusted Life Years , Young Adult
2.
Int J Infect Dis ; 80S: S45-S49, 2019 Mar.
Article in English | MEDLINE | ID: mdl-30826482

ABSTRACT

BACKGROUND AND AIM: Screening for active and latent TB among migrants in low TB incidence countries may constitute an important contribution to TB elimination. E-DETECT TB, a European multi-county collaboration, aims to address the present lack of evidence on effectiveness of migrant TB screening by collating data in an international database and perform cross-country pooled and comparative analyses of screening coverage, results and linkage to care. METHOD: A database was established using migrant TB screening data from participating countries' national screening programs, national screening pilots and local research projects. All partner countries contributed to a common agreed protocol with standardized variables, pooling available numerator and denominator screening data from participating countries and sites. RESULTS: All collaborating members drafted and agreed upon a data sharing accord as well as a protocol that clearly defined responsibilities and data governance principles. The database has been created and data transfer is ongoing. CONCLUSION: By persistence and focus the project has overcome considerable administrative, practical and legal challenges. This international collaboration provides greater power of analysis of harmonized data and thereby a unique opportunity to contribute migrant TB screening evidence. E-DETECT TB has started to invite other countries to contribute data to the database.


Subject(s)
Databases, Factual , Latent Tuberculosis/diagnosis , Mass Screening , Transients and Migrants , Tuberculosis/diagnosis , Europe/epidemiology , Humans , Incidence , Latent Tuberculosis/epidemiology , Tuberculosis/epidemiology
4.
Vaccine ; 33(22): 2558-61, 2015 May 21.
Article in English | MEDLINE | ID: mdl-25869891

ABSTRACT

BACKGROUND: Immunological studies have indicated that the effectiveness of AS03 adjuvanted monovalent influenza A(H1N1)pdm09 vaccine (Pandemrix) may be of longer duration than what is seen for non-adjuvanted seasonal influenza vaccines. Sixty-nine percent of children 6 months-18 years of age in Stockholm County received at least one dose of Pandemrix during the 2009 pandemic. We studied the effectiveness of the vaccine during the influenza seasons 2010-2011 and 2012-2013 in children hospitalized with virologically confirmed influenza. The season 2011-2012 was not included, since influenza A(H3N2) was the predominant circulating strain. METHODS: In a retrospective case-control study using a modified test-negative design we compared the percentage vaccinated with Pandemrix among children diagnosed with influenza A(H1N1)pdm09 (cases), with that of those diagnosed with influenza A(H3N2) or influenza B (controls) during the two seasons. We excluded children born after July 1, 2009, since only children who were 6 months of age or older received the pandemic vaccine in October-December 2009. RESULTS: During the 2010-2011 season, 3/16 (19%) of children diagnosed with influenza A(H1N1)pdm09, vs. 32/41 (78%) of those with influenza A(H3N2) or influenza B had been vaccinated with Pandemrix in 2009. The odds ratio, after adjustment for sex, age and underlying diseases, for becoming a case when vaccinated with Pandemrix was 0.083 (95%CI 0.014, 0.36), corresponding to a VE of 91.7%. During the season 2012-2013, there was no difference between the two groups; 59% of children diagnosed with influenza A(H3N2)/B and 60% of those with influenza A(H1N1)pdm09 had been vaccinated with Pandemrix in 2009. CONCLUSION: The AS03 adjuvanted monovalent influenza A(H1N1) pdm09 vaccine (Pandemrix) was effective in preventing hospital admission for influenza A(H1N1)pdm09 in children during at least two seasons.


Subject(s)
Adjuvants, Immunologic , Influenza A Virus, H1N1 Subtype/immunology , Influenza Vaccines/immunology , Influenza, Human/prevention & control , Adolescent , Antibodies, Viral/blood , Case-Control Studies , Child , Child, Preschool , Female , Hospitalization/statistics & numerical data , Humans , Infant , Influenza A Virus, H3N2 Subtype/immunology , Influenza Vaccines/administration & dosage , Influenza, Human/diagnosis , Influenza, Human/epidemiology , Male , Odds Ratio , Pandemics , Retrospective Studies , Seasons , Sweden/epidemiology , Time Factors , Vaccination/statistics & numerical data
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