Field substitution of nonresponders can maintain sample size and structure without altering survey estimates-the experience of the Italian behavioral risk factors surveillance system (PASSI)

Ann Epidemiol. 2014 Apr;24(4):241-5. doi: 10.1016/j.annepidem.2013.12.003. Epub 2013 Dec 28.

Abstract

Purpose: Field substitution of nonrespondents can be used to maintain the planned sample size and structure in surveys but may introduce additional bias. Sample weighting is suggested as the preferable alternative; however, limited empirical evidence exists comparing the two methods. We wanted to assess the impact of substitution on surveillance results using data from Progressi delle Aziende Sanitarie per la Salute in Italia-Progress by Local Health Units towards a Healthier Italy (PASSI).

Methods: PASSI is conducted by Local Health Units (LHUs) through telephone interviews of stratified random samples of residents. Nonrespondents are replaced with substitutes randomly preselected in the same LHU stratum. We compared the weighted estimates obtained in the original PASSI sample (used as a reference) and in the substitutes' sample. The differences were evaluated using a Wald test.

Results: In 2011, 50,697 units were selected: 37,252 were from the original sample and 13,445 were substitutes; 37,162 persons were interviewed. The initially planned size and demographic composition were restored. No significant differences in the estimates between the original and the substitutes' sample were found.

Conclusions: In our experience, field substitution is an acceptable method for dealing with nonresponse, maintaining the characteristics of the original sample without affecting the results. This evidence can support appropriate decisions about planning and implementing a surveillance system.

Keywords: Data collection; Italy; Public Health Surveillance; Research design.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Behavioral Risk Factor Surveillance System*
  • Bias*
  • Confidence Intervals
  • Female
  • Humans
  • Italy
  • Male
  • Middle Aged
  • Qualitative Research
  • Research Design
  • Sample Size
  • Sampling Studies
  • Young Adult