Literature DB >> 29663955

Using surveillance data to simulate the impact of a hypothetical pre-entry tuberculosis screening programme in Japan.

L Kawatsu1, K Uchimura1, K Izumi1, A Ohkado1, S Kato1.   

Abstract

BACKGROUND: Despite a growing burden of foreign-born tuberculosis (TB) patients, Japan does not currently practise pre-entry tuberculosis (TB) screening among foreign-born entrants.
OBJECTIVE: To evaluate the impact of a hypothetical pre-entry TB screening programme among new foreign-born entrants into Japan.
METHOD: Using publicly available sources, we estimated 1) the number of prevalent TB cases, defined as bacteriologically or clinically confirmed cases among new foreign-born entrants into Japan in 2015, and 2) the yield from a hypothetical pre-entry TB screening programme under three scenarios: Scenario A, in which screening would be required of all applicants intending to stay for 3 months; Scenario B, screening among applicants for visas for settlement purposes; and Scenario C, screening among student and technical intern visa applicants.
RESULTS: The numbers of prevalent TB cases under Scenarios A, B and C were respectively 492, 54 and 248 out of a total of 328 791, 21 554 and 182 879 applicants, respectively 276, 29 and 137 of whom would be detected via the pre-entry screening programme, giving an yield of respectively 83.9, 134.5 and 74.9 per 100 000 screened under each scenario.
CONCLUSION: The yield was the highest under Scenario B; however, the impact was greatest under Scenario A, in that it detected the greatest number of patients and thus contributed the most in reducing the burden of foreign-born TB cases in Japan.

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Year:  2018        PMID: 29663955     DOI: 10.5588/ijtld.17.0258

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  1 in total

1.  Evaluation of "international transfer-out" among foreign-born pulmonary tuberculosis patients in Japan - what are the implications for a cross-border patient referral system?

Authors:  Lisa Kawatsu; Akihiro Ohkado; Kazuhiro Uchimura; Kiyohiko Izumi
Journal:  BMC Public Health       Date:  2018-12-07       Impact factor: 3.295

  1 in total

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