Literature DB >> 11118929

Electronic telephone directory listings: preferred sampling frame for a population-based study of childhood cancer in Australia.

P C Valery1, G Williams, W Mcwhirter, A Sleigh, D Scott, C Bain.   

Abstract

PURPOSE: We report our telephone-based system for selecting community control series appropriate for a complete Australia-wide series of Ewing's sarcoma cases.
METHODS: We used electronic directory random sampling to select age-matched controls. The sampling has all listed telephone numbers on an up-dated CD-Rom.
RESULTS: 95% of 2245 telephone numbers selected were successfully contacted. The mean number of attempts needed was 1.94, 58% answering at the first attempt. On average, we needed 4.5 contacts per control selected. Calls were more likely to be successful (reach a respondent) when made in the evening (except Saturdays). The overall response rate among contacted telephone numbers was 92.8%. Participation rates among female and male respondents were practically the same. The exclusion of unlisted numbers (13.5% of connected households) and unconnected households (3.7%) led to potential selection bias. However, restricting the case series to listed cases only, plus having external information on the direction of potential bias allow meaningful interpretation of our data.
CONCLUSION: Sampling from an electronic directory is convenient, economical and simple, and gives a very good yield of eligible subjects compared to other methods.

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Mesh:

Year:  2000        PMID: 11118929     DOI: 10.1016/s1047-2797(00)00070-3

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  2 in total

1.  Effect of sampling frames on response rates in the WHO MONICA risk factor surveys.

Authors:  Hermann K Wolf; Kari Kuulasmaa; Hanna Tolonen; Susana Sans; Anu Molarius; Brian J Eastwood
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

2.  Profiling the different needs and expectations of patients for population-based medicine: a case study using segmentation analysis.

Authors:  Federico Lega; Alessandro Mengoni
Journal:  BMC Health Serv Res       Date:  2012-12-21       Impact factor: 2.655

  2 in total

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