Web Survey Bibliography
Title Use of the Internet by Patients with Chronic Illness
Author Millard, R., Fintak, P.
Source Disease Management & Health Outcomes, 10, 3, pp. 187-194
Database OCLC ECO
Access date 16.06.2004
Abstract Objective: To understand how patients with chronic illness use the Internet to manage their health. Design and Participants: An online survey was conducted among 10 069 patients with chronic illnesses. Survey results were obtained from patients with 35 separate chronic conditions, with at least 50 respondents for each condition. The survey was administered online at a dedicated, password-protected web site. Data were analyzed to identify how online behavior varied by disease state and other demographic variables, as well as to determine what kinds of information were preferred or viewed as most credible. Results were also weighted to correct bias introduced by nonresponse from under-represented groups. Results: The most frequently represented conditions were allergies (n = 4749), arthritis (n = 2841) and hypertension (n = 2561). Respondents complaining of a gynecological condition, chronic sinusitis, arthritis, migraine, or a thyroid condition reported spending the most time online. Patients who spent the most time seeking health information online also described themselves as being in poorer health than other respondents. Those who were more skeptical about healthcare, were dissatisfied or experienced problems with access to healthcare, reported being more likely to go to the Internet as a source of health information.The Internet appears to be used as a surrogate for medical advice among patients who lack insurance coverage or otherwise find it difficult to obtain care. Individuals with a gynecological condition, depression, diabetes mellitus, or a gastrointestinal disorder were more likely to use online news groups, bulletin boards, or lists that are designed specifically for health topics. Direct online communication with clinicians was very rare, as was online fulfillment of medication prescriptions. Women, in general, spent more time looking for health-related information than men did. Major Internet portals with health-specific content were viewed as the most desirable sources of information, followed by medical or academic web sites. Web sites sponsored by health insurance plans were the least favored sources of information. Overall, 42% of respondents felt that the Internet has had a major impact on understanding their health problems. Conclusions: These results further detail the emergence of an activist health consumer who uses the Internet to help manage their health. This type of individual is likely to be in poorer health, female, more inclined to engage in self-care, and may lack access to professional care. As Internet usage becomes increasingly widespread, this group may become increasingly relevant. Future research will document the impact of these changes with successive samples of at least 10 000 participants.
Access/Direct link OCLC ECO (abstract)
Bibliographic typeJournal article
Year of publication2002
Web Survey Bibliography - Weighting & imputation (279)
- How Too Little Can Give You a Little Too Much: Determining the Number of Household Phone Lines in RDD...; 2008; Merkle, D., Langer, G.
- Internet surveys; 2008; Vehovar, V., Lozar Manfreda, K., Koren, G.
- Handbook on Data Quality Assessment Methods and Tools; 2007; Ehling, M. (ed.), Koerner, T. (ed.), Bergdahl, M., Elvers, E., Foeldesi, E., Kron, A., Lohauss, P.,...
- Sample bias, weights and efficiency of weights in a continuous web voluntary survey; 2007; de Pedraza, P., Tijdens, K., de Bustillo, R.
- Utility and happiness; 2007; Kimball, M. S., Willis, R.
- The case for publishing (some) online polls; 2007; Taylor, H.
- Sampling for web surveys; 2007; Rivers, D.
- Reinterview: A tool for survey quality improvement; 2007; Feindt, P. et al.
- Reconstructing childhood health histories using internet panels; 2007; Smith, J. P.
- Online-questionnaire design guidelines; 2007; Lumsden, J.
- Nonresponse Bias in Two Methods of Panel Recruitment ; 2007; DiSogra, C., Slotwiner, D., Clinton, S., Chan, E., Hendarwan, E., & Zheng, W.
- A Nonparametric Approach to Weighting Web Panel Data; 2007; Thorburn, D., Lorenc, B.
- Calibration and propensity score weighting in web surveys; 2007; Fabrizi, E., Biffignandi, S.
- THE READERSHIP CURRENCY: DUTCH DESIGN How a new methodology for AIR measurement opens up new perspectives...; 2007; Petric, I., Appel, M.
- Intention to Participate in Web Surveys: An Extended TPB Model; 2007; Fang, J., Shao, P., Wan, J.
- The Usage of Magnitude Estimation Scales in Online Surveys - Results of a Joint Project; 2007; Althoff, S., Dumke, U.
- Calibration and Propensity Score Weighting in Web Surveys; 2007; Fabrizi, E., Biffignandi, S.
- Quality issues in online research; 2007; Sparrow, N.
- Comparison of Data Collection Procedures; 2007; Saris, W. E.
- The Effect of Changing Sample Composition on Time-Variation in Reported Business Conditions; 2007; van der Klaauw, W., Bram, J., Deitz, R., Orr, J., Topa, G.
- Perspektive Deutschland -- a Case Study of a Very Large Internet Survey; 2007; Boersch-Supan, A., Esner, D., Fassbender, H., Kiefer, R., McFadden, D., Winter, J.
- Are ‘Webographic' or Attitudinal Questions Useful for Adjusting Estimates from Web Surveys Using...; 2007; Schonlau, M., van Soest, A., Kapteyn, A.
- Development and Analysis of Joint Internet-Telephone Hunter Surveys; 2007; Lukacs, P. M.
- Peeping Over Computers The Slovenian Internet Audience Measurement Mix Model ; 2007; Cucin, P., Kropivnik, S., Hocevar, J.
- What's Missing from National RDD Surveys? The Impact of Growing Cell-Only Population.; 2007; Keeter, S., Kennedy, C., Tompson, T., Mokrzycki, M., Clark, A.
- Combining Cell Phone and Landline Samples: Dual Frame Approach.; 2007; ZuWallack, R. S.
- Statistics for real-life sample surveys: non-simple-random samples and weighted data; 2006; Dorofeev, S., Grant, P.
- Sample matching. Representative sampling from Internet panels; 2006; Rivers, D.
- A framework for survey breakoffs; 2006; Peytchev, A.
- Assessing Panel Bias in the Knowledge Networks Panel: Updated Results from 2005 Research ; 2006; Pineau, V., Nukulkij, P., Tang, X.
- Weighting an Internet Panel Survey on Drug Use and Abuse; 2006; Gordek, H., Williams, R. L., Dai, L.
- Supplementing RDD Surveys with Web-Based Survey Data; 2006; Krotki, K.
- Web Survey Methodology (WebSM) Portal; 2006; Lozar Manfreda, K., Vehovar, V.
- Propensity Score Adjustment as a Weighting Scheme for Volunteer Panel Web Surveys; 2006; Lee, Sunghee
- Selection Bias in Web Surveys and the Use of Propensity Scores; 2006; Schonlau, M., van Soest, A., Kapteyn, A., Couper, M. P.
- Comparing Internet Users and Nonusers’ Behavior toward Market Products; 2006; Diaz-Tena, N., Benford, R.
- Correcting for bias in a self-selected sample using a random sample as auxiliary information: the Dutch...; 2006; Oberski, D.
- The shift to on-line research. Managing and taking advantage of it.; 2006; Alexander, J., Fine, J., Davies, S.
- Make the Connection: Recruit for online surveys offline as well; 2006; Enright, A.
- Evaluating the Transition of an Ongoing RDD Survey to a Dual Mode-Dual Frame RDD/Internet Survey; 2006; Dutwin, D., Herrmann, M., Kulp, D., Lavine, S.
- Estimation in surveys with nonresponse; 2005; Sarndal, C.-E., Lundstrom, S.
- Does weighting for nonresponse increase the variance of survey means?; 2005; Little, R. J., Vartivarian, S.
- Comparing data from online and face-to-face surveys; 2005; Duffy, C., Smith, K., Terhanian, G., Bremer, J.
- Factors to Weigh When Considering Electronic Data Collection; 2005; Courtney, K. L., Craven, C. K.
- Thoughts on Internet Research in Europe; 2005; Harris Interactive
- Web surveys: inference using weighting and imputation in the survey on graduates; 2005; Biffignandi, S., Fabrizi, E., Pratesi, M., Salvati, N.
- The Use of Multiple Imputation to Create a Null Data Set from Nonrandomized Job Training Data; 2005; Rubin, D. B.
- Creative Applications of Selection Bias Modelling in Market Research; 2005; Terhanian, G., Bremer, J.
- Online-Access-Panels Based on Probability Samples: Can they Yield Representative Results?; 2005; Bandilla, W.
- Simple Approaches to Estimating the Variance of the Propensity Score Weighted Estimator Applied on Volunteer...; 2005; Isaksson, A., Lee, Sunghee; de Rouvray, C.