Web Survey Bibliography
BACKGROUND:
Aging of the European population and interest in a healthy population in western countries have contributed to an increase in the number of health surveys, where the role of survey design, data collection, and data analysis methodology is clear and recognized by the whole scientific community. Survey methodology has had to couple with the challenges deriving from data collection through information and communications technology (ICT). Telemedicine systems have not used patients as a source of information, often limiting them to collecting only biometric data. A more effective telemonitoring system would be able to collect objective and subjective data (biometric parameters and symptoms reported by the patients themselves), and to control the quality of subjective data collected: this goal be achieved only by using and merging competencies from both survey methodology and health research.
OBJECTIVE:
The objective of our study was to propose new metrics to control the quality of data, along with the well-known indicators of survey methodology. Web questionnaires administered daily to a group of patients for an extended length of time are a Web health monitoring survey (WHMS) in a telemedicine system.
METHODS:
We calculated indicators based on paradata collected during a WHMS study involving 12 patients, who signed in to the website daily for 2 months.
RESULTS:
The patients' involvement was very high: the patients' response rate ranged between 1.00 and 0.82, with an outlier of 0.65. Item nonresponse rate was very low, ranging between 0.0% and 7.4%. We propose adherence to the chosen time to connect to the website as a measure of involvement and cooperation by the patients: the difference from the median time ranged between 11 and 24 minutes, demonstrating very good cooperation and involvement from all patients. To measure habituation to the questionnaire, we also compared nonresponse rates to the items between the first and the second month of the study, and found no significant difference. We computed the time to complete the questionnaire both as a measure of possible burden for patient, and to detect the risk of automatic responses. Neither of these hypothesis was confirmed, and differences in time to completion seemed to depend on health conditions. Focus groups with patients confirmed their appreciation for this "new" active role in a telemonitoring system.
CONCLUSIONS:
The main and innovative aspect of our proposal is the use of a Web questionnaire to virtually recreate a checkup visit, integrating subjective (patient's information) with objective data (biometric information). Our results, although preliminary and if need of further study, appear promising in proposing more effective telemedicine systems. Survey methodology could have an effective role in this growing field of research and applications.
Web survey bibliography (189)
- Displaying Videos in Web Surveys: Implications for Complete Viewing and Survey Responses; 2017; Mendelson, J.; Lee Gibson, J.; Romano Bergstrom, J. C.
- Answering Without Reading: IMCs and Strong Satisficing in Online Surveys; 2017; Anduiza, E.; Galais, C.
- Lessons from recruitment to an internet based survey for Degenerative Cervical Myelopathy: merits of...; 2017; Davies, B.; Kotter, M. R.
- Achieving Strong Privacy in Online Survey; 2017; Zhou, Yo.; Zhou, Yi.; Chen, S.; Wu, S. S.
- Usability Testing for Survey Research; 2017; Geisen, E.; Romano Bergstrom, J. C.
- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems; 2017; Romano, M. F.; Sardella, M. V.; Alboni, F.
- 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.
- Effects of Mobile versus PC Web on Survey Response Quality: a Crossover Experiment in a Probability...; 2017; Antoun, C.; Couper, M. P.; G. G.Conrad, F. G.
- Dynamic Question Ordering in Online Surveys; 2016; Early, K.; Mankoff, J.; Fienberg, S. E.
- Mobile-only web survey respondents; 2016; Lugtig, P. J.; Toepoel, V.; Amin, A.
- Development and Pilot Test of a Mobile Application for Field Data Collection; 2016; Chiappetta, L.; Kerr, M. M.
- A Feasibility Study of Recruiting and Maintaining a Web Panel of People with Disabilities; 2016; Chandler, J.
- Inferences from Internet Panel Studies and Comparisons with Probability Samples; 2016; Lachan, R.; Boyle, J.; Harding, R.
- FocusVision 2015 Annual MR Technology Report; 2016; Macer, T., Wilson, S.
- Effects of Personalization and Invitation Email Length on Web-Based Survey Response Rates; 2016; Trespalacios, J. H.; Perkins, R. A.
- Who Are the Internet Users, Mobile Internet Users, and Mobile-Mostly Internet Users?: Demographic Differences...; 2015; Antoun, C.
- App vs. Web for Surveys of Smartphone Users: Experimenting with mobile apps for signal-contingent experience...; 2015; McGeeney, K.; Keeter, S.; Igielnik, R.; Smith, A.; Rainie, L.
- Mode System Effects in an Online Panel Study: Comparing a Probability-based Online Panel with two Face...; 2015; Struminskaya, B.; De Leeuw, E. D.; Kaczmirek, L.
- Recruiting Respondents for a Mobile Phone Panel: The Impact of Recruitment Question Wording on Cooperation...; 2015; Busse, B.; Fuchs, M.
- Evaluating Visual Design Elements for Data Collection and Panelist Engagement; 2015; Christian, L. M.; Harm, D.; Langer Tesfaye, C.; Wells, T.
- Predictors of inconsistent responding in web surveys; 2015; Akbulut, Y.
- Does Opinion Leadership Increase the Followers on Twitter; 2015; Hwang, Y.
- When it comes to mobile respondent experience and data quality, survey design matters; 2014; Mitchell, N.
- The Changing Landscape of Technology and its Effect on Online Survey Data Collection; 2014; Mitchell, N.
- The need of and the demand for completing surveys on mobile devices; 2014; Toninelli, D., Revilla, M., Ochoa, C.
- The Effectiveness of Mailed Invitations for Web Surveys and the Representativeness of Mixed-Mode versus...; 2014; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Gender Differences in Internet Addiction Associated with Psychological Health Indicators Among Adolescents...; 2014; Ha, Y.-M., Hwang, W. J.
- Use of a Google Map Tool Embedded in an Internet Survey Instrument: Is it a Valid and Reliable Alternative...; 2014; Dasgupta, S., Vaughan, A. S., Kramer, M. R., Sanchez, T. H., Sullivan, P. S.
- Does Self-Selection Affect Samples' Representativeness in Online Surveys? An Investigation in Online...; 2014; Khazaal, Y., van Singer, M., Chatton, A., Achab, S., Zullino, D., Rothen, S., Khan, R., Billieux, J.,...
- Differences in intrapersonal and interactional empowerment between lurkers and posters in health-related...; 2014; Petrovcic, A., Petric, G.
- Web-based Emergency Department Patient Satisfaction Surveys May Introduce Potential for Bias; 2014; Broadwater-Hollifield, C., Fair, J., Podolsky, S., et al.
- Validating respondents' identity in online samples; 2014; Baker, R., Miller, C., Kachhi-Jiwani, D., Lange, K., Wilding-Brown, L., Tucker, J.
- Which fieldwork method for what target group? How to improve response rate and data quality; 2014; Wulfert, T., Woppmann, A.
- Social desirability is the same in offline, online, and paper surveys: A meta-analysis; 2014; Dodou, D., de Winter J. C. F.
- Clicking vs. Dragging: Different Uses of the Mouse and Their Implications for Online Surveys; 2014; Sikkel, D., Steenbergen, R., Gras, S.
- Online Surveys as a Management Tool for Monitoring Multicultual Virtual Team Processes; 2014; Scovotti, C.
- Ideal participants in online market research: Lessons from closed communities; 2013; Heinze, A., Ferneley, E., Child, P.
- 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.,...
- Internet health information seeking is a team sport: Analysis of the Pew Internet Survey; 2013; Sadasivam, R. S., Kinney, R. L., Lemon, S. C., Shimada, S. L., Allison, J. J., Houston, T. K.
- Advantages of a global multimodal print & digital readership survey; 2013; Cour, N., Saint-Joanis, G.
- Australia: building a 21st century readership survey; 2013; Green, A., White, H.
- Video Content in Web Surveys: Effects on Selection Bias and Validity; 2013; Shapiro-Luft, D., Cappella, J.
- When to and When Not to Conduct a Web Survey; 2013; Barna, A.
- Relative Mode Effects on Data Quality in Mixed-Mode Surveys by an Instrumental Variable; 2013; Vannieuwenhuyze, J. T. A., Revilla, M.
- Educational use of smart phone technology: A survey of mobile phone application use by undergraduate...; 2013; Bomhold, C. R.
- Customer satisfaction in Web 2.0 and information technology development; 2013; Sharma, G., Baoku, L.