Open AccessInvestigating Respondents and Nonrespondents of a Postal Breast Cancer Questionnaire Survey Regarding Differences in Age, Medical Conditions, and Therapy
Author(s) -
Anna L. Frobeen,
Christoph Kowalski,
Verena Weiß,
Holger Pfaff
Publication year - 2016
Publication title -
breast care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.767
H-Index - 30
eISSN - 1661-3805
pISSN - 1661-3791
DOI - 10.1159/000446015
Subject(s) - medicine , breast cancer , family medicine , grading (engineering) , generalizability theory , logistic regression , demography , cancer , statistics , civil engineering , mathematics , sociology , engineering
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.