Maximising follow-up participation rates in a large scale 45 and Up Study in Australia. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Bauman, Adrian; Phongsavan, Philayrath; Cowle, Alison; Banks, Emily; Jorm, Louisa; Rogers, Kris; Jalaludin, Bin; Grunseit, Anne
• Is Part Of: Emerging themes in epidemiology. Volume 13:Issue 1(2016)
• Page Start: 1
• Page End: 7
• Publication Date: 2016-12
• Subjects: Epidemiological studies -- Follow-up -- Response rates -- Recruitment strategies; Epidemiology -- Periodicals; Communicable diseases -- Periodicals; 614.405
• DOI: 10.1186/s12982-016-0046-y
• Languages: English
• ISSNs: 1742-7622

Abstract

Abstract Background The issue of poor response rates to population surveys has existed for some decades, but few studies have explored methods to improve the response rate in follow-up population cohort studies. Methods A sample of 100, 000 adults from the 45 and Up Study, a large population cohort in Australia, were followed up 3.5 years after the baseline cohort was assembled. A pilot mail-out of 5000 surveys produced a response rate of only 41.7 %. This study tested methods of enhancing response rate, with three groups of 1000 each allocated to (1) receiving an advance notice postcard followed by a questionnaire, (2) receiving a questionnaire and then follow-up reminder letter, and (3) both these strategies. Results The enhanced strategies all produced an improved response rate compared to the pilot, with a resulting mean response rate of 53.7 %. Highest response was found when both the postcard and questionnaire reminder were used (56.4 %) but this was only significantly higher when compared to postcard alone (50.5 %) but not reminder alone (54.1 %). The combined approach was used for recruitment among the remaining 92, 000 participants, with a resultant further increased response rate of 61.6 %. Conclusions Survey prompting with a postcard and a reminder follow-up questionnaire, applied separately or combined can enhance follow-up rates in large scale survey-based epidemiological studies.