Literature DB >> 27239177

Investigating Respondents and Nonrespondents of a Postal Breast Cancer Questionnaire Survey Regarding Differences in Age, Medical Conditions, and Therapy.

Anna L Frobeen1, Christoph Kowalski1, Verena Weiß2, Holger Pfaff1.   

Abstract

BACKGROUND: Collecting patient-reported data via postal questionnaires is a common and frequently used technique. Selection bias may occur through lost data from nonrespondents. This study investigated differences in characteristics between respondents and nonrespondents of a postal breast cancer survey. PATIENTS AND METHODS: The investigation was based on a cross-sectional postal questionnaire survey for the mandatory annual routine (re-)certification of accredited breast centers in North Rhine-Westphalia in 2010. Out of 4,444 patients meeting the inclusion criteria who gave their consent to participate, 3,856 respondents sent back a questionnaire and 588 nonrespondents did not. Using logistic regression, differences between respondents and nonrespondents regarding information gathered through hospital staff concerning age, affected breast, UICC (Union for International Cancer Control) staging and grading, ASA (American Society of Anesthesiologists) classification, neoadjuvant chemotherapy, and type of surgery were assessed.
RESULTS: Very young and very old patients sent back their questionnaire significantly less frequently, as did patients who showed a later cancer stage and poorer general health and those who underwent mastectomy.
CONCLUSION: Differences exist between respondents and nonrespondents with regard to age, disease, and therapy characteristics that need to be considered for the interpretation and generalizability of survey results due to selection bias.

Entities:  

Keywords:  Bias; Breast cancer; Nonrespondent; Questionnaire survey

Year:  2016        PMID: 27239177      PMCID: PMC4881251          DOI: 10.1159/000446015

Source DB:  PubMed          Journal:  Breast Care (Basel)        ISSN: 1661-3791            Impact factor:   2.860


  33 in total

1.  Effect on trend estimates of the difference between survey respondents and non-respondents: results from 27 populations in the WHO MONICA Project.

Authors:  Hanna Tolonen; Annette Dobson; Sangita Kulathinal
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

2.  Prolonged recruitment efforts in health surveys: effects on response, costs, and potential bias.

Authors:  Rolf Holle; Matthias Hochadel; Peter Reitmeir; Christa Meisinger; H Erich Wichmann
Journal:  Epidemiology       Date:  2006-11       Impact factor: 4.822

3.  Non-response bias in a study of cardiovascular diseases, functional status and self-rated health among elderly men.

Authors:  N Hoeymans; E J Feskens; G A Van Den Bos; D Kromhout
Journal:  Age Ageing       Date:  1998-01       Impact factor: 10.668

4.  25-year trends and socio-demographic differences in response rates: Finnish adult health behaviour survey.

Authors:  Hanna Tolonen; Satu Helakorpi; Kirsi Talala; Ville Helasoja; Tuija Martelin; Ritva Prättälä
Journal:  Eur J Epidemiol       Date:  2006-06-28       Impact factor: 8.082

Review 5.  Limitations and sources of bias in clinical knee cartilage research.

Authors:  Jamie Worthen; Brian R Waterman; Philip A Davidson; James H Lubowitz
Journal:  Arthroscopy       Date:  2012-05-23       Impact factor: 4.772

6.  Comparison of respondents and nonrespondents in an osteoporosis study.

Authors:  C M Beard; A W Lane; W M O'Fallon; B L Riggs; L J Melton
Journal:  Ann Epidemiol       Date:  1994-09       Impact factor: 3.797

7.  [Comparison of characteristics between respondents and nonrespondents in a national survey of Japanese elderly using six year follow-up study].

Authors:  H Sugisawa; H Kishino; Y Sugihara; H Okabayashi; H Shibata
Journal:  Nihon Koshu Eisei Zasshi       Date:  1999-07

8.  Bias from requiring explicit consent from all participants in observational research: prospective, population based study.

Authors:  Rustam Al-Shahi; Céline Vousden; Charles Warlow
Journal:  BMJ       Date:  2005-10-13

9.  Analysis of non-response bias in a mailed health survey.

Authors:  J F Etter; T V Perneger
Journal:  J Clin Epidemiol       Date:  1997-10       Impact factor: 6.437

10.  Survey non-response in the Netherlands: effects on prevalence estimates and associations.

Authors:  A Jeanne M Van Loon; Marja Tijhuis; H Susan J Picavet; Paul G Surtees; Johan Ormel
Journal:  Ann Epidemiol       Date:  2003-02       Impact factor: 3.797

View more
  1 in total

1.  Positive and negative influences of social participation on physical and mental health among community-dwelling elderly aged 65-70 years: a cross-sectional study in Japan.

Authors:  Kimiko Tomioka; Norio Kurumatani; Hiroshi Hosoi
Journal:  BMC Geriatr       Date:  2017-05-19       Impact factor: 3.921

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.