Investigating Respondents and Nonrespondents of a Postal Breast Cancer Questionnaire Survey Regarding Differences in Age, Medical Conditions, and Therapy
Identifieur interne : 000F36 ( Main/Exploration ); précédent : 000F35; suivant : 000F37Investigating Respondents and Nonrespondents of a Postal Breast Cancer Questionnaire Survey Regarding Differences in Age, Medical Conditions, and Therapy
Auteurs : Anna L. Frobeen [Allemagne] ; Christoph Kowalski [Allemagne] ; Verena Wei [Allemagne] ; Holger Pfaff [Allemagne]Source :
- Breast Care [ 1661-3791 ] ; 2016.
Abstract
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.
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.
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.
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.
Url:
DOI: 10.1159/000446015
PubMed: 27239177
PubMed Central: 4881251
Affiliations:
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Frobeen</name><affiliation wicri:level="1"><nlm:aff id="aff1"> IMVR - Institute of Medical Sociology, Health Services Research and Rehabilitation Science at the Faculty of Human Sciences and the Faculty of Medicine of the University of Cologne, Cologne, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea> IMVR - Institute of Medical Sociology, Health Services Research and Rehabilitation Science at the Faculty of Human Sciences and the Faculty of Medicine of the University of Cologne, Cologne</wicri:regionArea><wicri:noRegion>Cologne</wicri:noRegion><wicri:noRegion>Cologne</wicri:noRegion><wicri:noRegion>Cologne</wicri:noRegion></affiliation></author><author><name sortKey="Kowalski, Christoph" sort="Kowalski, Christoph" uniqKey="Kowalski C" first="Christoph" last="Kowalski">Christoph Kowalski</name><affiliation wicri:level="1"><nlm:aff id="aff1"> IMVR - Institute of Medical Sociology, Health Services Research and Rehabilitation Science at the Faculty of Human Sciences and the Faculty of Medicine of the University of Cologne, Cologne, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea> IMVR - Institute of Medical Sociology, Health Services Research and Rehabilitation Science at the Faculty of Human Sciences and the Faculty of Medicine of the University of Cologne, Cologne</wicri:regionArea><wicri:noRegion>Cologne</wicri:noRegion><wicri:noRegion>Cologne</wicri:noRegion><wicri:noRegion>Cologne</wicri:noRegion></affiliation></author><author><name sortKey="Wei, Verena" sort="Wei, Verena" uniqKey="Wei V" first="Verena" last="Wei">Verena Wei</name><affiliation wicri:level="1"><nlm:aff id="aff2"> IMSIE - Institute of Medical Statistics, Informatics and Epidemiology of the University of Cologne, Cologne, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea> IMSIE - Institute of Medical Statistics, Informatics and Epidemiology of the University of Cologne, Cologne</wicri:regionArea><wicri:noRegion>Cologne</wicri:noRegion><wicri:noRegion>Cologne</wicri:noRegion><wicri:noRegion>Cologne</wicri:noRegion></affiliation></author><author><name sortKey="Pfaff, Holger" sort="Pfaff, Holger" uniqKey="Pfaff H" first="Holger" last="Pfaff">Holger Pfaff</name><affiliation wicri:level="1"><nlm:aff id="aff1"> IMVR - Institute of Medical Sociology, Health Services Research and Rehabilitation Science at the Faculty of Human Sciences and the Faculty of Medicine of the University of Cologne, Cologne, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea> IMVR - Institute of Medical Sociology, Health Services Research and Rehabilitation Science at the Faculty of Human Sciences and the Faculty of Medicine of the University of Cologne, Cologne</wicri:regionArea><wicri:noRegion>Cologne</wicri:noRegion><wicri:noRegion>Cologne</wicri:noRegion><wicri:noRegion>Cologne</wicri:noRegion></affiliation></author></analytic><series><title level="j">Breast Care</title><idno type="ISSN">1661-3791</idno><idno type="eISSN">1661-3805</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><title>Summary</title><sec><title>Background</title><p>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.</p></sec><sec><title>Patients and Methods</title><p>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.</p></sec><sec><title>Results</title><p>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.</p></sec><sec><title>Conclusion</title><p>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.</p></sec></div></front></TEI><affiliations><list><country><li>Allemagne</li></country></list><tree><country name="Allemagne"><noRegion><name sortKey="Frobeen, Anna L" sort="Frobeen, Anna L" uniqKey="Frobeen A" first="Anna L." last="Frobeen">Anna L. Frobeen</name></noRegion><name sortKey="Kowalski, Christoph" sort="Kowalski, Christoph" uniqKey="Kowalski C" first="Christoph" last="Kowalski">Christoph Kowalski</name><name sortKey="Pfaff, Holger" sort="Pfaff, Holger" uniqKey="Pfaff H" first="Holger" last="Pfaff">Holger Pfaff</name><name sortKey="Wei, Verena" sort="Wei, Verena" uniqKey="Wei V" first="Verena" last="Wei">Verena Wei</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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