Web Survey Bibliography
INTRODUCTION & OBJECTIVES: High-risk prostate cancer (PCa) accounts for up to 40% of newly diagnosed cases. Disease recurrence remains substantial, affecting >50% of patients within 10 years after treatment. In the absence of high-level evidence, definition, clinical staging and therapy remain controversial. Physicians’ preferences and local medical infrastructure availability may lead to substantial variations in the management of such patients. In this study, we explored the current trends in diagnosis and management of patients with newly diagnosed high-risk PCa in Europe.
MATERIAL & METHODS: A web-based survey was conducted in August 2013 by members of the Prostate Cancer Working Group of the Young Academic Urologists (YAU) Working Party of the European Association of Urology (EAU). A specific questionnaire was sent by email to xx physicians who were included in the mailing-list of the EAU members. Participants were invited to answer a multiple-choice questionnaire including 25-items covering the whole spectrum of diagnosis, staging and treatment of high-risk PCa. Europe was divided into three geographical regions: North-Western (NW), Central-Eastern (CE) and Southern (S). Data collection and processing was performed in accordance with the ICC/ESOMAR Code on Market and Social Research. Statistical analysis was performed by GfK.
RESULTS: Of the 9,829 invited EAU-members practicing in Europe, 585 (6%) completed the survey. Most of them work in an academic setting and have an institutional multidisciplinary team involved in PCa management. High-risk PCa is defined as serum PSA ≥20 ng/ml or clinical stage≥T3 or biopsy Gleason score≥8 by 67% of responders with no geographical variations. Preferred single imaging exam for clinical staging are bone scan (74%), MRI (53%, 72% in NW) and CT (45%, 60% in S). Partin tables and D’Amico risk classification are used by 62% of the physicians on a routine basis. Preferred treatment is radical prostatectomy as part of multimodal treatment (60%, 40% in NW and 70% in CE), followed by external beam radiation therapy with androgen deprivation therapy (29%, 45% in NW and 20% in CE). There is ample heterogeneity in the definition of disease recurrence after primary treatment and use of adjuvant and salvage treatments, even within the same geographical region.
CONCLUSIONS: The present study is the first international survey evaluating patterns of diagnosis and treatment of high-risk PCa in Europe. Although definition of high-risk PCa is uniform across European countries, wide variations in clinical staging and treatment patterns were observed. These differences might translate into variations in quality of care with a possible impact on ultimate oncological outcome.
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Web survey bibliography (210)
- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- Estimating the Impact of Measurement Differences Introduced by Efforts to Reach a Balanced Response...; 2017; Kappelhof, J. W. S.; De Leeuw, E. D.
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- Are Final Comments in Web Survey Panels Associated with Next-Wave Attrition?; 2016; McLauchlan, C.; Schonlau, M.
- Participation rates of childhood cancer survivors to self-administered questionnaires: a systematic...; 2016; Kilsdonk, E.; Wendel, E.; van Dulmen-den Broeder, E.; van Leeuwen, F.E.; Van Den Berg, M. H.; Jaspers...
- A look into the challenges of mixed-mode surveys; 2016; Klausch, L. T.
- Unintentional Mobile Respondents in Official Statis tics and Their Effect on Data Quality ; 2016; Bakker, J.
- Tracking the Representativeness of an Online Panel Over Time ; 2016; Klausch, L. T.; Scherpenzeel, A.
- Detecting careless respondents in web-based questionnaires: Which method to use?; 2016; Niesen, A. S. M.; Meijer, R. R.; Tendeiro, J. N.
- Establishing the accuracy of online panels for survey research; 2016; Bruggen, E.; van den Brakel, J.; Krosnick, J. A.
- Surveying End-of-Life Medical Decisions in France: Evaluation of an Innovative Mixed-Mode Data Collection...; 2016; Legleye, S; Pennec, S.; Monnier, A.; Stephan, A.; Brouard, N.; Bilsen, J.; Cohen, J.
- Adaptive survey designs to minimize survey mode effects – a case study on the Dutch Labor Force...; 2016; Calinescu, M.; Schouten, B.
- Reducing Underreports of Behaviors in Retrospective Surveys: The Effects of Three Different Strategies...; 2016; Lugtig, P. J.; Glasner, T.; Boeve, A.
- Sunday shopping – The case of three surveys; 2016; Bethlehem, J.
- Predictive inference for non-probability samples: a simulation study ; 2016; Buelens, B.; Burger, J.; van den Brakel, J.
- Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias?; 2016; Eckman, S.
- Internet Panels, Professional Respondents, and Data Quality; 2015; Matthijsse, S.; De Leeuw, E. D.; Hox, J.
- Effect of Web-Based Versus Paper-Based Questionnaires and Follow-Up Strategies on Participation Rates...; 2015; Kilsdonk, E.; van den Heuvel-Eibrink, M. M.; van Dulmen-den Broeder, E.; van der Pal, H. J. H.; van...
- Designing web surveys for the multi-device internet; 2015; de Bruijne, M.
- Self-identification of occupation in web surveys: requirements for search trees and look-up tables ; 2015; Tijdens, K. G.
- Tailored fieldwork design to increase representative household survey response: an experiment in the...; 2015; Luiten, A.; Schouten, B.
- Calendar Instruments in Retrospective Web Surveys; 2015; Glasner, T.; van der Vaart, W.; Dijkstra, W.
- Validating self-reported mobile phone use in adults using a newly developed smartphone application; 2015; Goedhart, G., Kromhout, H., Wiart, J., Vermeulen, R.
- Face-to-Face or Sequential Mixed-Mode Surveys Among Non-Western Minorities in the Netherlands: The Effect...; 2015; Kappelhof, J.
- Finding Item Nonresponse Patterns: Three Internet Survey Experiments Into the Effects of Nonresponse...; 2015; Van De Maat, J.
- The effectiveness of incentives on recruitment and retention rates: an experiment in a web survey; 2015; Mulder, J.; Douhou, S.
- Using WhatsApp as a Survey Tool; 2015; Ongena, Y. P.; Haan, M.
- The Effects of Adding a Mobile-Compatible Design to the American Life Panel; 2015; Toepoel, V.; Lugtig, P. J.; Amin, A.
- Adapting Grid Questions for Mobile Devices; 2015; de Bruijne, M.; Das, M.; van Soest, A.; Wijnant, A.
- Correlates of early and late responses to surveys in an online panel; 2015; Douhou, S.; Vis, C.
- Higher Item Nonresponse Rates Caused by Slider Scales in Web Surveys; 2015; Toepoel, V.; Funke, F.
- Coding Surveys on their Item Characteristics: Reliability Diagnostics; 2015; Bais, F.; Schouten, B.; Toepoel, V.
- Selection error in single- and mixed mode surveys of the Dutch general population; 2015; Hox, J., Klausch, L. T., Schouten, B.
- Investigating Response Quality in Mobile and Desktop Surveys: A Comparison of Radio Buttons, Visual...; 2014; Toepoel, V.; Funke, F.
- 640 Current trends in management of high-risk prostate cancer in Europe: Results of a web-based survey...; 2014; Briganti, A., Isbarn, H., Ost, P., Ploussard, G., Sooriakumaran, P., Van Den Bergh, R.C.N., Van Oort...
- Query on Data Collection for Social Surveys; 2014; Blanke, K., Luiten, A.
- Improving Response Rates and Questionnaire Design for Mobile Web Surveys; 2014; de Bruijne, M., Wijnant, A.
- Quality of physical therapy from a patient's perspective; factor analysis on web-based survey data...; 2014; Scholte, M., Calsbeek, H., Nijhuis-van der Sanden, M. W. G., Braspenning, J.
- Mining “Big Data” using Big Data Services ; 2014; Reips, U.-D., Matzat, U.
- Barriers and facilitators for participation in a preventive pelvic floor muscle training program from...; 2014; Albers-Heitner, P., Moossdorff-Steinhauser, H., Weemhoff, M., Nieman, F., Berghmans, B.
- Informing panel members about study results; 2014; Scherpenzeel, A., Toepoel, V.
- Targeting the bias – the impact of mass media attention on sample composition and representativeness...; 2014; Steinmetz, S., Oez, F., Tijdens, K. G.
- Exploring selection biases for developing countries - is the web a promising tool for data collection...; 2014; Tijdens, K. G., Steinmetz, S.
- Evaluating mixed-mode redesign strategies against benchmark surveys: the case of the Crime Victimization...; 2014; Klausch, L. T., Hox, J., Schouten, B.
- The quality of ego-centered social network data in web surveys: experiments with a visual elicitation...; 2014; Marcin, B., Matzat, U., Snijders, C.
- Measuring the very long, fuzzy tail in the occupational distribution in web-surveys; 2014; Tijdens, K. G.
- Social desirability is the same in offline, online, and paper surveys: A meta-analysis; 2014; Dodou, D., de Winter J. C. F.
- The impact of contact effort on mode-specific selection and measurement bias; 2014; Schouten, B., van der Laan, J., Cobben, F.
- Clicking vs. Dragging: Different Uses of the Mouse and Their Implications for Online Surveys; 2014; Sikkel, D., Steenbergen, R., Gras, S.