Literature DB >> 16255447

Is there a difference in health estimates between people with listed and unlisted telephone numbers?

Eleonora Dal Grande1, Anne Taylor, David Wilson.   

Abstract

OBJECTIVE: To examine the characteristics of people with a silent telephone by demographic and health-related issues and to assess the potential bias in telephone surveys that use the White Pages as the sampling frame.
METHOD: A representative annual population health survey of South Australians aged 15 years and over conducted in 1994, 1998, 1999 and 2002. Self-reported information on telephone connection and listings in the White Pages was provided by participants. Questions were included in the 1998 survey on reasons why telephone number was not listed.
RESULTS: The rate of unlisted telephone numbers significantly increased (17.3% to 20.2%) in South Australia between 1994 and 2002. People with an unlisted number are more likely to be living in the metropolitan area, single adult households, current smokers, and in the younger age groups. In the multivariate analyses the only health and risk factor variable that was consistently significant over the years was smoking status. The main reason for having an unlisted number was to avoid market research or telemarketing calls (33%).
CONCLUSION: Telephone surveys using White Pages samples are suitable to collect information for prevalence on most commonly collected self-reported health conditions and health-related issues. The exception is smoking status. IMPLICATIONS: The use of Whites Pages telephone samples is a suitable method for obtaining population health information because it is efficient when there is limited time and funds.

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Year:  2005        PMID: 16255447     DOI: 10.1111/j.1467-842x.2005.tb00225.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  7 in total

1.  Age differences in associations between psychological distress and chronic conditions.

Authors:  Catherine R Chittleborough; Helen Winefield; Tiffany K Gill; Carmen Koster; Anne W Taylor
Journal:  Int J Public Health       Date:  2010-10-01       Impact factor: 3.380

2.  Monitoring inequities in self-rated health over the life course in population surveillance systems.

Authors:  Catherine R Chittleborough; Anne W Taylor; Fran E Baum; Janet E Hiller
Journal:  Am J Public Health       Date:  2009-02-05       Impact factor: 9.308

3.  Sampling and coverage issues of telephone surveys used for collecting health information in Australia: results from a face-to-face survey from 1999 to 2008.

Authors:  Eleonora Dal Grande; Anne W Taylor
Journal:  BMC Med Res Methodol       Date:  2010-08-26       Impact factor: 4.615

4.  The North West Adelaide Health Study: detailed methods and baseline segmentation of a cohort for selected chronic diseases.

Authors:  Janet F Grant; Catherine R Chittleborough; Anne W Taylor; Eleonora Dal Grande; David H Wilson; Patrick J Phillips; Robert J Adams; Julianne Cheek; Kay Price; Tiffany Gill; Richard E Ruffin
Journal:  Epidemiol Perspect Innov       Date:  2006-04-12

5.  Bias of health estimates obtained from chronic disease and risk factor surveillance systems using telephone population surveys in Australia: results from a representative face-to-face survey in Australia from 2010 to 2013.

Authors:  Eleonora Dal Grande; Catherine R Chittleborough; Stefano Campostrini; Anne W Taylor
Journal:  BMC Med Res Methodol       Date:  2016-04-18       Impact factor: 4.615

6.  Gender-specific epidemiology of diabetes: a representative cross-sectional study.

Authors:  Janet F Grant; Neville Hicks; Anne W Taylor; Catherine R Chittleborough; Patrick J Phillips
Journal:  Int J Equity Health       Date:  2009-03-11

7.  Parent-reported Mental Health Problems and Mental Health Services Use in South Australian School-aged Children.

Authors:  Jing Wu; Eleonora Dal Grande; Helen Winefield; Danny Broderick; Rhiannon Pilkington; Tiffany K Gill; Anne W Taylor
Journal:  AIMS Public Health       Date:  2016-09-22
  7 in total

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