Web Survey Bibliography
Purpose: Patient-reported outcome (PRO) scores are used to evaluate treatment modalities in orthopaedic surgery. The method of PRO collection may introduce bias to reported surgical outcomes due to the presence of an interviewer. This study evaluates post-operative PROs for variation of outcomes between survey methods—in-person, online, or telephone.
Methods: From 2008 to 2011, 456 patients underwent arthroscopic surgical treatment for acetabular labral tears. All pre-operative surveys were completed in the clinic during pre-operative visit. Two-year follow-up questionnaires were completed by 385 (84 %) patients. The PRO data were prospectively collected pre- and post-operatively using five tools: modified Harris Hip Score (mHHS), Hip Outcome Score Activities of Daily Living (HOS-ADLS), Hip Outcome Score Sports-Specific Subscale (HOS-SSS), Non-Arthritic Hip Score (NAHS), and visual analog scale. Patients were grouped according to method of 2-year follow-up: in-person during follow-up visit (102 patients, 26 %), online by email prompt (138 patients, 36 %), or telephone with an interviewer (145 patients, 38 %).
Results: Pre-operative baseline PRO scores demonstrated no statistically significant difference between groups for mHHS, HOS-ADLS, HOS-SSS, and NAHS. Two-year post-operative PRO scores obtained by telephone were statistically greater than scores obtained in-person or online for mHHS (p < 0.001), HOS-ADLS (p < 0.001), and HOS-SSS (p < 0.01).
Conclusion: This study demonstrates higher patient-reported outcome scores and greater improvement by telephone surveys compared to in-person or online. The variation of results between collection methods is indicative of a confounding variable. Clinically, it is important to understand these confounding variables in order to assess patient responses and guide treatment.
Web survey bibliography (4086)
- Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems; 2017; Romano, M. F.; Sardella, M. V.; Alboni, F.
- Gathering Opinions on Depression Information Needs and Preferences: Samples and Opinions in Clinic Versus...; 2017; Bernstein, M. T.; Walker, J. R.; Sexton, K. A.; Katz, A.; Beatie, B. E.
- Oversampling as a methodological strategy for the study of self-reported health among lesbian, gay and...; 2017; Anderssen, N.; Malterud, K.
- Device and Internet Use among Spanish-dominant Hispanics: Implications for Web Survey Design and Testing...; 2017; Trejo, Y. A. G.; Schoua-Glusberg, A.
- Utjecaj vizualne orientacije skale za odgovaranje i broja stranica web-upitnika na rezultate ispitivanja...; 2017; Malikovic, M.; Svegar, D.; Somodzi, S.
- How to Design a Web Survey Using Spring Boot With MYSQL: a Romanien Network Case Study; 2017; Bucea-Manea-Tonis, Ro.; Bucea-Manea-Tonis, Ra.
- Analyzing Survey Characteristics, Participation, and Evaluation Across 186 Surveys in an Online Opt-...; 2017; Revilla, M.
- Careless Response and Attrition as Sources of Bias in Online Survey Assessments of Personality Traits...; 2017; Meade, A. W.; Ward, M. K.; Alfred, C. M.; Pappalardo, G.; Stoughton, J. W.
- Using Mixed Methods to Research the Professional Development Needs of English Teacher Educators in PCET...; 2017; Eliahoo, R.
- Do Incentives Increase Response Rates to an Internet Survey of American Evaluation Association Members...; 2017; Wilson, L. N.
- Examining Completion Rates in Web Surveys via Over 25,000 Real-World Surveys; 2017; Liu, M.; Wronski, L.
- Data collection mode differences between national face-to-face and web surveys on gender inequality...; 2017; Liu, M.
- Improving survey response rates: The effect of embedded questions in web survey email Invitations; 2017; Liu, M.; Inchausti, N.
- An experimental comparison of web-push vs. paper-only survey procedures for conducting an in-depth health...; 2017; McMaster, H. S.; LeardMann, C. A.; Speigle, S.; Dillman, D. A.
- Demographic Question Placement: Effect on Item Response Rates and Means of a Veterans Health Administration...; 2017; Teclaw, R.; Price, M.; Osatuke, K.
- Effects of Applying Multimedia and Dialogue Box to Web Survey Design; 2017; Chen, H.
- Role of online survey tools in creating temporally accurate Environmental Product Declarations (EPD)...; 2017; Ganguly, I.; Bowers, T.; Pierobon, F.; Eastin, I.
- A test of sample matching using a pseudo-web sample; 2017; Chatrchi, G., Gambino, J.
- A Partially Successful Attempt to Integrate a Web-Recruited Cohort into an Address-Based Sample; 2017; Kott, P. S., Farrelly, M., Kamyab, K.
- Nonprobability sampling as model construction; 2017; Mercer, A. W.
- Comparing acquiescent and extreme response styles in face-to-face and web surveys; 2017; Liu, M.; Conrad, F. G.; Lee, S.
- Comparison of response patterns in different survey designs: a longitudinal panel with mixed-mode and...; 2017; Ruebsamen, N.; Akmatov, M. K.; Castell, S.; Karch, A.; Mikolajczyk, R. T.
- Mobile Research im Kontext der digitalen Transformation; 2017; Friedrich-Freksa, M.
- Kognitives Pretesting; 2017; Neuert, C.
- Grundzüge des Datenschutzrechts und aktuelle Datenschutzprobleme in der Markt- und Sozialforschung; 2017; Schweizer, A.
- Survey mode influence on patient-reported outcome scores in orthopaedic surgery: telephone results may...; 2017; Hammarstedt, J. E.; Redmond, J. M.; Gupta, As.; Dunne, K. F.; Vemula, S. P.; Domb, B. G.
- Marketing survey research best practices: evidence and recommendations from a review of JAMS articles...; 2017; Hulland, J.; Baumgartner, H.; Smith, K. M.
- Comparative analysis of a mobile device and paper as effective survey tools; 2017; Kim, K. J.; Bae, S.; Park, E.
- Enhancing survey participation: Facebook advertisements for recruitment in educational research; 2017; Forgasz, H.; Tan, H.; Leder, G.; McLeod, A.
- Determinants of polling accuracy: the effect of opt-in Internet surveys; 2017; Sohlberg, J.; Gilljam, M.; Martinsson, J.
- Virtual reality meets sensory research; 2017; Depoortere, L.
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- The Failure of the Polls: Lessons Learned from the 2015 UK Polling Disaster; 2017; Sturgis, P.
- Online customer journey analysis: a data science toolbox; 2017; Bonnay, D.
- Article Establishing an Open Probability-Based Mixed-Mode Panel of the General Population in Germany...; 2017; Bosnjak, M.; Dannwolf, T.; Enderle, T.; Schaurer, I.; Struminskaya, B.; Tanner, A.; Weyandt, K.
- PC, phone or tablet? Use, preference and completion rates for web surveys ; 2017; Brosnan, K.; Gruen, B.; Dolnicar, S.
- Comparing data quality and cost from three modes of on-board transit surveys ; 2017; Agrawal, A. W.; Granger-Bevan, S.; W.; Newmark, G. L.; Nixon, H.
- Web survey experiments on matrix questions; 2017; Liu, M.
- Web- and Phone-based Data Collection using Planned Missing Designs; 2017; Revelle, W.; Condon, M. D.; Wilt, J.; French, A. J.; Brown, A.; Elleman, G. L.
- Finding and Investigating Geographical Data Online; 2017; Martin, D.; Cockings, S.; Leung, S.
- CAQDAS at a Crossroads: Affordances of Technology in an Online Environment; 2017; Silver, C.; Bulloch, L. S.
- Online Focus Groups; 2017; Abrams, M. K.; Gaiser, T. J.
- Artificial Intelligence/Expert Systems and Online Research; 2017; Brent, E.
- Improving the Effectiveness of Online Data Collection by Mixing Survey Modes; 2017; Dillman, D. A.; Hao, F.; Millar, M. M.
- Online Survey Software; 2017; Kaczmirek, L.
- Online Survey Design; 2017; To, N.
- Sampling Methods for Online Surveys; 2017; Fricker, R. D.
- Research Design and Tools for Online Research; 2017; Hewson, C. M.
- Overview: Online Surveys; 2017; Vehovar, V.; Lozar Manfreda, K.
- Three Methods for Occupation Coding Based on Statistical Learning; 2017; Geweon, H.; Schonlau, L.; Blohum, M.; Steiner, St.