Web Survey Bibliography
Title Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems
Author Romano, M. F.; Sardella, M. V.; Alboni, F.
Source JMIR Research Protocols, 5, 2
Year 2016
Database Web of Science
Access date 31.03.2017
Full text PDF (497K KB)
Abstract
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.
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.
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Year of publication2016
Bibliographic typeJournal article
Web survey bibliography (272)
- Usability Testing for Survey Research; 2017; Geisen, E.; Romano Bergstrom, J. C.
- A Case Study on Evaluating the Relevance of Some Rules for Writing Requirements through an Online Survey...; 2017; Warnier, M.; Condamines, A.
- Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems ; 2016; Romano, M. F.; Sardella, M. V.; Alboni, F.
- Design and test of a web-survey for collecting observer’s ratings on dairy goats’ behavioural...; 2016; Vieira, A.; Oliveira, M. D.; Nunes, T.; Stilwell, G.
- A look at the unique data-gathering process behind the Harvard Impact Study; 2016; Vitale, J.
- Analyzing Cognitive Burden of Survey Questions with Paradata: A Web Survey Experiment; 2016; Hoehne, J. K.; Schlosser, S.; Krebs, D.
- Gamification of Online Surveys: Design Process, Case Study, and Evaluation; 2015; Harms, J.; Biegler, S.; Wimmer, C.; Kappel, K.; Grechenig, T.
- Finding Item Nonresponse Patterns: Three Internet Survey Experiments Into the Effects of Nonresponse...; 2015; Van De Maat, J.
- The Effects of Adding a Mobile-Compatible Design to the American Life Panel; 2015; Toepoel, V.; Lugtig, P. J.; Amin, A.
- Technology and Reporting of Daily Activities – Considerations for Analysis of Behaviours in Mixed...; 2015; Fisher, K.; Gershuny, J.
- Cheating in web surveys. Evidence from a split-ballot repeated experiment on knowledge questions on...; 2015; Ladini, R.; Vezzoni, C.
- Unplanned use of mobile devices in a probabilistic online panel survey: Patterns of use and implications...; 2015; Poggio, T.; Bosnjak, M.; Bandilla, W.; Weyandt, K.
- The importance of scale direction between different modes; 2015; Agalioti-sgompou, V.
- Examining the Impact of Mobile First and Responsive Web Design on Desktop and Mobile Respondents; 2015; Tharp, D.
- Boosting Probability-Based Web Survey Response Rates via Nonresponse Follow-Up; 2015; Chew, K.; Fontes, A.; Lavrakas, P. J.
- Cognitive Testing of Survey Translations: Does Respondent Language Proficiency Matter?; 2015; Schoua-Glusberg, A.; Park, H.; Meyer, M.; Goerman, P. L.; Sha, M.
- Questionnaire length and breakoffs in web surveys: a meta study; 2014; Vehovar, V., Cehovin, G.
- Inside the Turk Understanding Mechanical Turk as a Participant Pool; 2014; Paolacci, G., Chandler, J.
- Social Media and Online Survey: Tools for Knowledge Management in Health Research ; 2014; Merolli, M., Sanchez, F. J. M., Gray, K.
- Development and validation of a single- item scale for the relative assessment of physical attractiveness...; 2013; Lutz, J.; Kemper, C. J.; Beierlein, C.; etc.
- A standard with quality indicators for web panel surveys: a Swedish example; 2013; Nyfjaell, M.
- Developing a New Mixed-Mode Methodology For a Provincial Park Camper Survey in British Columbia; 2013; Dyck, B. W.
- Scientific impact of the MESS Project: A brief overview; 2013; Das, M.
- Using the iPad as a Prize-Based Incentive to Boost Response Rates: A Case Study at Brigham Young University...; 2013; McClendon, R., Olsen, D.
- Using Qualitative and Quantitative Testing to Improve Hispanic Response Rates for Online Surveys; 2013; Pens, Y., Gentry, R. J.
- The ONS Beyond 2011 Programme & possible implications for social surveys; 2013; Morris, L.
- Survey Research; 2013; Abbott, M. L., McKinney, J.
- The effect of short formative diagnostic web quizzes with minimal feedback; 2013; Baelter, O., Enstroem, E., Klingenberg, B.
- Web CATI (Part of NatCen’s Multi-Mode Approach) ; 2012; Damestani, P., Agur, M.
- What is Online Research?: Using the Internet for Social Science Research; 2012; Hooley, H., Wellens, J., Marriott, J.
- WebSM Study: Survey software features overview ; 2012; Vehovar, V., Cehovin, G., Kavcic, L., Lenar, J.
- What Survey Modes are Most Effective in Eliciting Self-Reports of Criminal or Delinquent Behavior?; 2012; Kleck, G., Roberts, K.
- Assessing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys; 2012; Behr, D., Braun, M., Kaczmirek, L.
- Adaptive web sampling in ecology; 2012; Thompson, S. K.
- Online Data Collection in the Agro-Food Sector; 2012; Biffignandi, S., Artaz, R.
- Psychometric properties of an internet administered version of the Marlowe-Crowne Social Desirability...; 2012; Vesteinsdottir, V., Reips, U.-D., Joinson, A. N., Porsdottir, F.
- Research design for studying online communities with web surveys; 2012; Petrovcic, A., Petric, G., Lozar Manfreda, K.
- Case study: Respondent perspective on survey response; 2012; Jarrett, C.
- Presidential Elections in Iceland 2012 – Did online panel surveys give false hope to new candidates...; 2012; Jonsdottir, G. A., Dofradottir, A. G., Bjornsdottir, A. E.
- Internet Mobility Survey Sampling Biases in Measuring Frequency of Use of Transport Modes ; 2012; Diana, M.
- Qualitatively Speaking: Mobile qualitative finally hits its stride; 2012; Bryson, J.
- Using Collaborative Web Technology to Construct the Health Information National Trends Survey; 2012; Moser, R. P., Beckjord, E. B., Finney Rutten, L. J., Blake, K., Hesse, B. W.
- A Shot in the Dark: Measurement Influence on Likelihood to Vaccination; 2012; Higgins, W. B., Thomas, R. K.
- Using Online Panels for National Surveys of Low Incidence Populations: Findings from the CDC Influenza...; 2012; Boyle, J., Ball, S., Ding, H., Srinath, K. P., Euler, G.
- Drop-Off Point for Undergraduate Students on a Web-based Alcohol and Tobacco Use Questionnaire; 2012; Mitra, A.
- An Examination of the 2010 Census Be Counted Program and Its Effects on Census Coverage and Duplication...; 2012; Jackson, G. I., Wechter, K. M.
- The Detection and Effects of Data From Potentially Ineligible Participants in Online Survey Research...; 2012; Grey, J.
- Internet Mobility Survey Sampling Biases in Measuring Frequency of Use of Different Transport Modes; 2012; Diana, M.
- Continuous large-scale volunteer web-surveys: The experience of Lohnspiegel and WageIndicator; 2012; Oez, F.
- FamilyVote – Conducting online surveys with children and families; 2012; Geissler, H., Peeters, H.