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 (149)
- A Meta-Analysis of the Effects of Incentives on Response Rate in Online Survey Studies; 2017; Mohammad Asire, A.
- Sampling Methods for Online Surveys; 2017; Fricker, R. D.
- Influence of Importance Statements and Box Size on Response Rate and Response Quality of Open-Ended...; 2016; Kumar Chaudhary, A.; Israel, G. D.
- Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 2016; 2016
- Are Initial Respondents Different from the Nonresponse Follow-Up Cases? A Study of Probability-Based...; 2016; Zeng, W.; Dennis, J. M.
- Predicting and Preventing Break-Offs in Web Surveys; 2016; Mittereder, F.
- Effect of a Pre-Paid Incentive on Response Rates to an Address-Based Sampling (ABS) Web-Mail Survey; 2016; Suzer-Gurtekin, Z.; Elkasabi, M.; Liu, Me.; Lepkowski, J. M.; Curtin, R.; McBee, R.
- Mode Effect and Response Rate Issues in Mixed-Mode Survey Research: Implications for Recreational Fisheries...; 2016; Wallen, K. E.; Landon, A. C.; Kyle, G. T.; Schuett, M. A.; Leitz, J.; Kurzawski, K.
- Exploring Factors in Contributing Student Progress in the Open University; 2016; Arifin, M. H.
- The quality of responses to grid questions as used in Web questionnaires (compared with paper questionnaires...; 2015; Dominguez, J. A.; de Rada, V. D.
- Nonresponse Analysis and Adjustment in the Follow- Up Study of a National Cohort of Gulf War And Gulf...; 2015; Dursa, E.; Hammer, H.; Kolenikov, S.; Schneiderman, A. I.
- Nannies' Knowledge, Attitude, and Management of Food Allergies of Children: An Online Survey; 2015; Greiwe, J. C., Pazheri, F., Schroer, B.
- 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...
- Examining the Effect of Prenotification Postcards on Online Survey Response Rate in a University Graduate...; 2014; Lalasz, C. B., Doane, M. J., Springer, V. A., Dahir, V. B.
- Online Polls and Registration-Based Sampling: A New Method for Pre-Election Polling; 2014; Barber, M. J., Mann, C. B., Monson, J. Q., Patterson, K. D.
- Keeping Surveys Valid, Reliable, and Useful: A Tutorial; 2014; Greenberg, M. R., Weiner, M. D.
- Surveying Louisiana waterfowl hunters: Open web and random mail surveys produce similar responses to...; 2014; Laborde, L. P., Rohwer, F. C., Kaller, M. D., Reynolds, L. A.
- Accessing sexual health information online: use, motivations and consequences for youth with different...; 2014; Mitchell, K. J., Ybarra, M. L., Korchmaros, J. D., Kosciw, J. G.
- Efficiencies of Internet-Based Digital and Paper-Based Scientific Surveys and the Estimated Costs and...; 2014; Uhlig, C. E., Seitz, B., Promesberger, J., Eter, N., Busse, H.
- Does Survey Mode Still Matter? Findings from a 2010 Multi-Mode Comparison; 2014; Ansolabehere, S., Schaffner, B. F.
- Nonresponse and Mode Effects in Self- and Interviewer-Administered Surveys; 2014; Atkeson, L. R.; Adams, A. N.; Alvarez, M. R.
- Assessing Within-Household Selection Methods in Household Mail Surveys; 2014; Olson, K., Stange, M., Smyth, J. D.
- Invitation Design Elements in Web Surveys - Can One Ignore Interactions?; 2014; Mavletova, A. M., Deviatko, I., Maloshonok, N.
- The Effectiveness of Mailed Invitations for Web Surveys and the Representativeness of Mixed-Mode versus...; 2014; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Accuracy of Within-household Selection in Web and Mail Surveys of the General Population.; 2014; Olson, K., Smyth, J. D.
- The effectiveness of recruitment strategies on general practitioner's survey response rates - a...; 2014; Pit, S. W., Pyakurel, S., Vo, T.
- Confirmation Bias in Web-Based Search: A Randomized Online Study on the Effects of Expert Information...; 2014; Schweiger, S., Oeberst, A., Cress, U.
- Completion rates and non-response error in online surveys: Comparing sweepstakes and pre-paid cash incentives...; 2014; LaRose, R., Tsai, H. S.
- African-American breast cancer survivors’ preferences for various types of physical activity interventions...; 2014; Paxton, R., Nayak, P., Taylor, W., Chang, S., Courneya, K., Schover, L., Hodges, K., Jones, L.
- Survey Research Response Rates: Internet Technology vs. Snail Mail ; 2013; Lanier, P. A., Tanner, J. R., Totaro, M. W., Gradnigo, G.
- The internet user profile of Italian families of patients with rare diseases: a web survey; 2013; Tozzi, A. E., Mingarelli, R., Agricola, E., Gonfiantini, M., Pandolfi, E., Carloni, E., Gesualdo, F.,...
- A Comparison of Results from a Spanish and English Mail Survey: Effects of Instruction Placement on...; 2013; Wang, K., Sha, M.
- Intra-individual variation of extreme response style in mixed-mode panel studies; 2013; Aichholzer, J.
- Decision making in web survey participation of undergraduate students; 2013; Fan, W.
- Recruitment strategies of methamphetamine-using men who have sex with men into an online survey; 2013; Wilkerson, J. M., Shenk, J. E., Grey, J. A., Rosser, B. R. S., Noor, S. W.
- When to and When Not to Conduct a Web Survey; 2013; Barna, A.
- Issues of Coverage and Sampling in Web Surveys for the General Population; 2013; Lynn, P.
- Attitudes of Nebraska Residents on Nebraska Water Management; 2013; Dillman, D. A., Edwards, M. L.
- Permission email messages significantly increase gambler retention; 2013; Jolley, W., Lee, A., Mizerski, R., Sadeque, S.
- The smart(phone) way to collect survey data; 2013; Stapleton, C.
- Survey quality prediction system 2.0; 2013
- The E-Interview in Qualitative Research; 2013; Bampton, R., Cowton, C., Downs, Y.
- Methodological Considerations of Qualitative Email Interviews; 2013; Nehls, K.
- Sensitive topics in PC Web and mobile web surveys: Is there a difference? (presentation); 2012; Mavletova, A. M., Couper, M. P.
- The effects of item saliency and question design on measurement error in a self-administered survey; 2012; Stern, M. J., D., Mendez, J. D.Smyth, J. D.
- The cross platform report. Q2 -2012 - US; 2012
- Mobile email opens report 2nd half 2011; 2012
- Boosting Web pick-up Rates by referring to Compliance Principles ; 2012; Falnes-Dalheim, E., Haraldsen, G., Sundvoll, A.
- E-Mail Surveys; 2012; Mesch, G.
- Using Mixed-Mode Contacts to Facilitate Participation in Public Agency Client Surveys; 2012; Israel, G. D.