Literature DB >> 7786565

Increasing response rates in telephone surveys: a randomized trial.

W Smith1, T Chey, B Jalaludin, G Salkeld, T Capon.   

Abstract

BACKGROUND: Sampling frames and mode of contact and administration of questionnaires are important factors contributing to response rates and selection bias in population-based research. The purpose of this paper is to evaluate whether contact by mail before contact by telephone increases response rate, and to assess the concurrent validity of telephone surveys for collecting health research and service data.
METHODS: Two thousand households were randomly selected from electronic white pages. Half were randomly allocated to receive or not to receive an explanatory letter before telephone contact. Interviewers were blinded to whether a household received a letter. Respondents aged 18 years or over were randomly selected from within each household using a Kish grid and interviewed by telephone.
RESULTS: The overall response rate was 68 per cent [confidence interval (CI) 66-70]. The response rate of those who received the letter was 76 per cent (CI 73-79), and of those who did not receive the letter was 60 per cent (CI 56-63). Use of the Kish grid to select randomly a respondent decreased the response rate by less than 10 per cent. The internal validity of the data was as follows: in a 10 per cent sub-sample, the Kish grid had been correctly applied in 93 per cent of households, and in 99 per cent of households the exclusion criteria had been correctly adhered to. The external validity was as follows: comparisons with data obtained from the same reference population using similar instruments administered face-to-face revealed no meaningful or significant differences in population estimates.
CONCLUSIONS: Mail-out before telephone contact greatly increases response rates at low cost. Telephone surveys can yield valid, useful data for health research and service evaluation.

Mesh:

Year:  1995        PMID: 7786565

Source DB:  PubMed          Journal:  J Public Health Med        ISSN: 0957-4832


  13 in total

1.  Clinical computing in general dentistry.

Authors:  Titus K L Schleyer; Thankam P Thyvalikakath; Heiko Spallek; Miguel H Torres-Urquidy; Pedro Hernandez; Jeannie Yuhaniak
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

2.  Successful pancreas transplantation alone is associated with excellent self-identified health score and glucose control: A retrospective study from a high-volume center in the United States.

Authors:  Joseph R Scalea; Lauren Pettinato; Blythe Fiscella; Amanda Bartosic; Allison Piedmonte; Jastine Paran; Niket Todi; Eric J Siskind; Stephen T Bartlett
Journal:  Clin Transplant       Date:  2018-01-01       Impact factor: 2.863

3.  Detection of cases of inflammatory rheumatic disorders: performance of a telephone questionnaire designed for use by patient interviewers.

Authors:  F Guillemin; A Saraux; P Fardellone; P Guggenbuhl; J-M Behier; J Coste
Journal:  Ann Rheum Dis       Date:  2003-10       Impact factor: 19.103

4.  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

5.  Strategies for achieving a high response rate in a home interview survey.

Authors:  Kirsty Kiezebrink; Iain K Crombie; Linda Irvine; Vivien Swanson; Kevin Power; Wendy L Wrieden; Peter W Slane
Journal:  BMC Med Res Methodol       Date:  2009-06-30       Impact factor: 4.615

6.  In type 2 diabetes induced by cigarette smoking, activation of p38 MAPK is involved in pancreatic β-cell apoptosis.

Authors:  Hui Xu; Qiushi Wang; Qian Sun; Yu Qin; Aohan Han; Ye Cao; Qianlei Yang; Ping Yang; Jiachun Lu; Qizhan Liu; Quanyong Xiang
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-25       Impact factor: 4.223

7.  A mobile phone intervention to reduce binge drinking among disadvantaged men: study protocol for a randomised controlled cost-effectiveness trial.

Authors:  Iain K Crombie; Linda Irvine; Brian Williams; Falko F Sniehotta; Dennis Petrie; Josie Mm Evans; Carol Emslie; Claire Jones; Ian W Ricketts; Gerry Humphris; John Norrie; Peter Rice; Peter W Slane
Journal:  Trials       Date:  2014-12-19       Impact factor: 2.279

8.  Maximising response rates in household telephone surveys.

Authors:  Joanne O'Toole; Martha Sinclair; Karin Leder
Journal:  BMC Med Res Methodol       Date:  2008-11-03       Impact factor: 4.615

Review 9.  Methods used to estimate the size of the owned cat and dog population: a systematic review.

Authors:  Martin J Downes; Rachel S Dean; Jenny H Stavisky; Vicki J Adams; Douglas J C Grindlay; Marnie L Brennan
Journal:  BMC Vet Res       Date:  2013-06-19       Impact factor: 2.741

10.  Current Smoking Dose-Dependently Associated with Decreased β-Cell Function in Chinese Men without Diabetes.

Authors:  Chun Wang; Yijun Wang; Junxia Wu; Suyi Liu; Ying Zhu; Shurong Lv; Ping Lin; Xiaoke Wang; Yan Xu; Shali Yu; Gang Chen; Quanyong Xiang
Journal:  J Diabetes Res       Date:  2015-07-05       Impact factor: 4.011

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.