%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 20
%N 12
%P e11046
%T Questionnaire Breakoff and Item Nonresponse in Web-Based Questionnaires: Multilevel Analysis of Person-Level and Item Design Factors in a Birth Cohort
%A Blumenberg,Cauane
%A Zugna,Daniela
%A Popovic,Maja
%A Pizzi,Costanza
%A Barros,Aluisio J D
%A Richiardi,Lorenzo
%+ Center for Epidemiological Research, Post-Graduate Program in Epidemiology, Federal University of Pelotas, 1160 Marechal Deodoro Street, 3rd Floor, Pelotas, 96020-220, Brazil, 55 53 32841300, cauane.epi@gmail.com
%K epidemiology
%K internet
%K surveys and questionnaires
%K epidemiologic research design
%K data collection
%D 2018
%7 07.12.2018
%9 Original Paper
%J J Med Internet Res
%G English
%X Background: Web-based questionnaires are increasingly used in epidemiologic studies, as traditional methods are facing a decrease in response rates and an increase in costs. However, few studies have investigated factors related to the level of completion of internet-based epidemiologic questionnaires. Objective: Our objective was to identify person-level characteristics and item design factors associated with breakoff (not finishing the questionnaire) and item nonresponse in a Web-based questionnaire. Methods: This study was a cross-sectional analysis of the baseline questionnaire, applied from 2005 to 2016, of the Italian NINFEA (Nascita e Infanzia: gli Effetti dell’Ambiente) birth cohort. The baseline questionnaire was administered to enrolled women, who could register at any time during pregnancy. We used logistic regression to analyze the influence of person-level factors on questionnaire breakoff, and a logistic multilevel model (first level: items of the questionnaire; second level: sections of the questionnaire; third level: study participants) to analyze the influence of person-level and item design factors on item nonresponse. Since the number of applicable items depended on the respondent’s characteristics and breakoff, we used inverse probability weighting to deal with missing by design. Results: Of 5970 women, 519 (8.69%) did not finish the questionnaire. Older age (adjusted odds ratio 1.40, 95% CI 1.05-1.88), lower educational level (adjusted odds ratio [OR] 1.53, 95% CI 1.23-1.90), and earlier stage of pregnancy (adjusted OR 3.01, 95% CI 2.31-3.92) were positively associated with questionnaire breakoff. Of the 1,062,519 applicable items displayed for the participants, 22,831 were not responded to (overall prevalence of item nonresponse 2.15%). Item nonresponse was positively associated with older age (adjusted OR 1.25, 95% CI 1.14-1.38), being in the first trimester of pregnancy (adjusted OR 1.18, 95% CI 1.06-1.31), and lower educational level (adjusted OR 1.23, 95% CI 1.14-1.33). Dropdown menu items (adjusted OR 1.77, 95% CI 1.56-2.00) and items organized in grids (adjusted OR 1.69, 95% CI 1.49-1.91) were positively associated with item nonresponse. Conclusions: It is important to use targeted strategies to keep participants motivated to respond. Item nonresponse in internet-based questionnaires is affected by person-level and item design factors. Some item types should be limited to reduce item nonresponse. 
%M 30530454
%R 10.2196/11046
%U https://www.jmir.org/2018/12/e11046/
%U https://doi.org/10.2196/11046
%U http://www.ncbi.nlm.nih.gov/pubmed/30530454