IDEAS home Printed from https://ideas.repec.org/a/spr/ijphth/v62y2017i8d10.1007_s00038-017-0976-3.html
   My bibliography  Save this article

Sample substitution can be an acceptable data-collection strategy: the case of the Belgian Health Interview Survey

Author

Listed:
  • Stefaan Demarest

    (Scientific Institute of Public Health)

  • Geert Molenberghs

    (KU Leuven Leuven)

  • Johan Heyden

    (Scientific Institute of Public Health)

  • Lydia Gisle

    (Scientific Institute of Public Health)

  • Herman Oyen

    (Scientific Institute of Public Health)

  • Sandrine Waleffe

    (Statistics Belgium)

  • Guido Hal

    (University of Antwerp)

Abstract

Objectives Substitution of non-participating households is used in the Belgian Health Interview Survey (BHIS) as a method to obtain the predefined net sample size. Yet, possible effects of applying substitution on response rates and health estimates remain uncertain. In this article, the process of substitution with its impact on response rates and health estimates is assessed. Methods The response rates (RR)—both at household and individual level—according to the sampling criteria were calculated for each stage of the substitution process, together with the individual accrual rate (AR). Unweighted and weighted health estimates were calculated before and after applying substitution. Results Of the 10,468 members of 4878 initial households, 5904 members (RRind: 56.4%) of 2707 households (RRhh: 55.5%) participated. For the three successive (matched) substitutes, the RR dropped to 45%. The composition of the net sample resembles the one of the initial samples. Applying substitution did not produce any important distorting effects on the estimates. Conclusions Applying substitution leads to an increase in non-participation, but does not impact the estimations.

Suggested Citation

  • Stefaan Demarest & Geert Molenberghs & Johan Heyden & Lydia Gisle & Herman Oyen & Sandrine Waleffe & Guido Hal, 2017. "Sample substitution can be an acceptable data-collection strategy: the case of the Belgian Health Interview Survey," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(8), pages 949-957, November.
    • Handle: RePEc:spr:ijphth:v:62:y:2017:i:8:d:10.1007_s00038-017-0976-3
    DOI: 10.1007/s00038-017-0976-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00038-017-0976-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00038-017-0976-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Johan Heyden & Stefaan Demarest & Koen Van Herck & Dirk Bacquer & Jean Tafforeau & Herman Van Oyen, 2014. "Association between variables used in the field substitution and post-stratification adjustment in the Belgian health interview survey and non-response," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(1), pages 197-206, February.
    2. Stefaan Demarest & Lydia Gisle & Johan Heyden, 2007. "Playing hard to get: field substitutions in health surveys," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 52(3), pages 188-189, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marina Christofoletti & Tânia R. B. Benedetti & Felipe G. Mendes & Humberto M. Carvalho, 2021. "Using Multilevel Regression and Poststratification to Estimate Physical Activity Levels from Health Surveys," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
    2. Finaba Berete & Johan Van der Heyden & Stefaan Demarest & Rana Charafeddine & Lydia Gisle & Elise Braekman & Jean Tafforeau & Geert Molenberghs, 2019. "Determinants of unit nonresponse in multi-mode data collection: A multilevel analysis," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-18, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijphth:v:62:y:2017:i:8:d:10.1007_s00038-017-0976-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.