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    Jan 27, 2021
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    Active and adaptive case finding to estimate therapeutic program coverage for severe acute malnutrition: a capture-recapture study

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    Isanaka et al 2019 Active and ...
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    Authors
    Isanaka, S
    Salou, H
    Hedt-Guathier, B
    Grais, RF
    Allen, B
    Berthé, F
    Salou, H
    Issue Date
    2019-12-16
    Submitted date
    2019-12-23
    
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    Journal
    BMC Health Services
    Abstract
    Background: Coverage is an important indicator to assess both the performance and effectiveness of public health programs. Recommended methods for coverage estimation for the treatment of severe acute malnutrition (SAM) can involve active and adaptive case finding (AACF), an informant-driven sampling procedure, for the identification of cases. However, as this procedure can yield a non-representative sample, exhaustive or near exhaustive case identification is needed for valid coverage estimation with AACF. Important uncertainty remains as to whether an adequate level of exhaustivity for valid coverage estimation can be ensured by AACF. Methods: We assessed the sensitivity of AACF and a census method using a capture-recapture design in northwestern Nigeria. Program coverage was estimated for each case finding procedure. Results: The sensitivity of AACF was 69.5% (95% CI: 59.8, 79.2) and 91.9% (95% CI: 85.1, 98.8) with census case finding. Program coverage was estimated to be 40.3% (95% CI 28.6, 52.0) using AACF, compared to 34.9% (95% CI 24.7, 45.2) using the census. Depending on the distribution of coverage among missed cases, AACF sensitivity of at least ≥70% was generally required for coverage estimation to remain within ±10% of the census estimate. Conclusion: Given the impact incomplete case finding and low sensitivity can have on coverage estimation in potentially non-representative samples, adequate attention and resources should be committed to ensure exhaustive or near exhaustive case finding
    Publisher
    Springer Science and Business Media LLC
    URI
    http://hdl.handle.net/10144/619562
    DOI
    10.1186/s12913-019-4791-9
    Type
    journal-article
    Language
    en
    ISSN
    1472-6963
    ae974a485f413a2113503eed53cd6c53
    10.1186/s12913-019-4791-9
    Scopus Count
    Collections
    Nutrition

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