Literature DB >> 8497576

Effects of enhanced calling efforts on response rates, estimates of health behavior, and costs in a telephone health survey using random-digit dialing.

A R Kristal1, E White, J R Davis, G Corycell, T Raghunathan, S Kinne, T K Lin.   

Abstract

Public health researchers frequently rely on random-digit dialing (RDD) telephone surveys in monitoring trends in health behavior and evaluating health promotion interventions. RDD response rates have declined during the past decade, and cost-effective methods to increase response rates are needed. The authors evaluated two levels of enhanced calling efforts in an RDD survey of cancer-related health behavior in the State of Washington. The first level of enhanced calling effort was 1 month after 11 original calling attempts to a household, when the authors attempted up to 11 recalls. The second level was 6 months after the first answered call, when the authors recalled those persons who could not be interviewed. Enhanced calling efforts increased the overall survey response rate by 11 percent. Nine percentage points of the increase were attributable to call backs. There were demographic differences among the participants reached at different levels of calling effort, but no consistent associations of level of calling effort with health behavior related to alcohol use, smoking, diet, or health screening. Marginal costs for interviews completed with enhanced calling efforts were about 50 percent higher than costs for interviews reached in the first 11 calls. The authors concluded that enhanced calling efforts may be justified, because they increase confidence in the generalizability of survey results. However, the authors found very little change in survey results by including interviews from persons who were difficult to reach and to interview.

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Year:  1993        PMID: 8497576      PMCID: PMC1403389     

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  7 in total

1.  The evaluation of the Henry J. Kaiser Family Foundation's Community Health Promotion Grant Program: design.

Authors:  E H Wagner; T D Koepsell; C Anderman; A Cheadle; S G Curry; B M Psaty; M Von Korff; T M Wickizer; W L Beery; P K Diehr
Journal:  J Clin Epidemiol       Date:  1991       Impact factor: 6.437

2.  Comparison of three inducement techniques to improve compliance in a health survey conducted by telephone.

Authors:  J Hornik; T Zaig; D Shadmon; G I Barbash
Journal:  Public Health Rep       Date:  1990 Sep-Oct       Impact factor: 2.792

3.  Increasing response rates in community health surveys administered by telephone.

Authors:  K R Allison; K K Yoshida
Journal:  Can J Public Health       Date:  1989 Jan-Feb

4.  Limitations of telephone based selection and interview procedures.

Authors:  M D Gliksman; J Wlodarcyzk; R F Heller; J Kinlay
Journal:  Community Health Stud       Date:  1987

5.  Conducting community-based surveys by telephone.

Authors:  G Catlin; M Shields
Journal:  Can J Public Health       Date:  1988 Mar-Apr

6.  Random digit dialing in selecting a population-based control group.

Authors:  P Hartge; L A Brinton; J F Rosenthal; J I Cahill; R N Hoover; J Waksberg
Journal:  Am J Epidemiol       Date:  1984-12       Impact factor: 4.897

7.  Differences between respondents and non-respondents in a population-based cardiovascular disease study.

Authors:  M H Criqui; E Barrett-Connor; M Austin
Journal:  Am J Epidemiol       Date:  1978-11       Impact factor: 4.897

  7 in total
  11 in total

1.  African Americans' attitudes toward cigarette excise taxes.

Authors:  Gary King; Robyn K Mallett; Lynn T Kozlowski; Robert B Bendel
Journal:  Am J Public Health       Date:  2003-05       Impact factor: 9.308

2.  Nevi and migration within the United States and Canada: a population-based cross-sectional study.

Authors:  L K Dennis; E White; B McKnight; A Kristal; J A Lee; P Odland
Journal:  Cancer Causes Control       Date:  1996-07       Impact factor: 2.506

3.  Do beliefs, knowledge, and perceived norms about diet and cancer predict dietary change?

Authors:  R E Patterson; A R Kristal; E White
Journal:  Am J Public Health       Date:  1996-10       Impact factor: 9.308

4.  Physician recommendations for dietary change: their prevalence and impact in a population-based sample.

Authors:  J R Hunt; A R Kristal; E White; J C Lynch; E Fries
Journal:  Am J Public Health       Date:  1995-05       Impact factor: 9.308

5.  A comparison of health status between rural and urban adults.

Authors:  A G Mainous; F P Kohrs
Journal:  J Community Health       Date:  1995-10

6.  Using path analysis to understand parents' perceptions of their children's weight, physical activity and eating habits in the Champlain region of Ontario.

Authors:  Kristi B Adamo; Sophia Papadakis; Laurie Dojeiji; Micheline Turnau; Louise Simmons; Meena Parameswaran; John Cunningham; Andrew L Pipe; Robert D Reid
Journal:  Paediatr Child Health       Date:  2010-11       Impact factor: 2.253

7.  Colorectal cancer screening participation: comparisons with mammography and prostate-specific antigen screening.

Authors:  S Lemon; J Zapka; E Puleo; R Luckmann; L Chasan-Taber
Journal:  Am J Public Health       Date:  2001-08       Impact factor: 9.308

8.  Sampling procedures and sample representativeness in a national telephone survey: a Portuguese example.

Authors:  Sofia Correia; Paulo Dinis; Francisco Rolo; Nuno Lunet
Journal:  Int J Public Health       Date:  2009-12-15       Impact factor: 3.380

9.  Trends in food label use associated with new nutrition labeling regulations.

Authors:  A R Kristal; L Levy; R E Patterson; S S Li; E White
Journal:  Am J Public Health       Date:  1998-08       Impact factor: 9.308

10.  Demographic and occupational predictors of early response to a mailed invitation to enroll in a longitudinal health study.

Authors:  Jean-Paul Chretien; Laura K Chu; Tyler C Smith; Besa Smith; Margaret A K Ryan
Journal:  BMC Med Res Methodol       Date:  2007-01-25       Impact factor: 4.615

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