Literature DB >> 30196128

A Web-based survey among adults aged 40-54 years was time effective and yielded stable response patterns.

Korbinian Weigl1, Kaja Tikk2, Michael Hoffmeister3, Enrico N De Toni4, Jochen Hampe5, Frank Kolligs6, Stefanie J Klug7, Ulrich Mansmann8, Daniel Nasseh8, Jovana Radlovic9, Matthias Schwab10, Dirk Schweigler11, Anna-Magdalena Stephan5, Hermann Brenner12.   

Abstract

OBJECTIVE: We want to present information about response patterns obtained by Web-based survey in a large-scale epidemiological study. STUDY DESIGN AND
SETTING: Within the RAPS (Risk Adapted Prevention Strategies for colorectal cancer [CRC]) study, we invited 160,000 randomly selected persons aged 40-54 years in three large German cities from 2015 to 2016 to complete a Web-based questionnaire on CRC risk factors and screening (97 items, average time for completion 15 minutes). Invitation letters and up to two reminder letters were sent to each individual.
RESULTS: A total of 21.4% of women and 18.0% of men completed the questionnaire. Overall cumulative response rates were 7.5%, 14.3%, and 19.6% after the initial invitation letter, and the first and second reminder, respectively, with prevalence of and associations of key epidemiological parameters (such as family history of cancer, previous colonoscopy, etc.) being remarkably stable across waves of responses. For example, the sex and age distribution of the sample did not change with additional answers gained from additional letters.
CONCLUSION: Web-based questionnaires are feasible, cost-effective, and time effective in the setting of large-scale epidemiological studies. Although response patterns were remarkably stable over several rounds of reminders with substantially increasing cumulative response rates, future research should address possibilities to further enhance response rates.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Colorectal cancer; Epidemiology; Large-scale study; Online questionnaire; Response rates; Web-based survey

Mesh:

Year:  2018        PMID: 30196128     DOI: 10.1016/j.jclinepi.2018.08.021

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  4 in total

1.  Validation of the COVID-19 Exposure and Family Impact Scales.

Authors:  Paul T Enlow; Thao-Ly T Phan; Amanda M Lewis; Aimee K Hildenbrand; Erica Sood; Kimberly S Canter; Gaby Vega; Melissa A Alderfer; Anne E Kazak
Journal:  J Pediatr Psychol       Date:  2022-03-05

2.  Leveraging Health Information Technology to Collect Family Cancer History: A Systematic Review and Meta-Analysis.

Authors:  Xuan Li; Ryan M Kahn; Noelani Wing; Zhen Ni Zhou; Andreas Ian Lackner; Hannah Krinsky; Nora Badiner; Rhea Fogla; Isabel Wolfe; Hannah Bergeron; Becky Baltich Nelson; Charlene Thomas; Paul J Christos; Ravi N Sharaf; Evelyn Cantillo; Kevin Holcomb; Eloise Chapman-Davis; Melissa K Frey
Journal:  JCO Clin Cancer Inform       Date:  2021-06

3.  Using patient-reported measures to drive change in healthcare: the experience of the digital, continuous and systematic PREMs observatory in Italy.

Authors:  Sabina De Rosis; Domenico Cerasuolo; Sabina Nuti
Journal:  BMC Health Serv Res       Date:  2020-04-16       Impact factor: 2.655

4.  The future of breast cancer screening: what do participants in a breast cancer screening program think about automation using artificial intelligence?

Authors:  Olof Jonmarker; Fredrik Strand; Yvonne Brandberg; Peter Lindholm
Journal:  Acta Radiol Open       Date:  2019-12-04
  4 in total

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