Skip to main content
Top
Published in: European Journal of Epidemiology 10/2010

01-10-2010 | METHODS

Interactive Voice Response and web-based questionnaires for population-based infectious disease reporting

Authors: Christin Bexelius, Hanna Merk, Sven Sandin, Olof Nyrén, Sharon Kühlmann-Berenzon, Annika Linde, Jan-Eric Litton

Published in: European Journal of Epidemiology | Issue 10/2010

Login to get access

Abstract

The authors aimed to evaluate the web and an Interactive Voice Response (IVR) phone service as vehicles in population-based infectious disease surveillance. Fourteen thousand subjects were randomly selected from the Swedish population register and asked to prospectively report all respiratory tract infections, including Influenza-like Illness (ILI—clinical symptoms indicative of influenza but no laboratory confirmation), immediately as they occurred during a 36-week period starting October 2007. Participants were classified as belonging to the web or IVR group based on their choice of technology for initial registration. In all, 1,297 individuals registered via IVR while 2,044 chose the web. The latter were more often young and well-educated than those registered via IVR. Overall, 52% of the participants reported at least one infection episode. The risk of an infectious disease report was 14% (95% CI: 6, 22%) higher in the web group than in the IVR group. For ILI the excess was 27% (95% CI: 11, 47%). After adjustments for socio-demographic factors, statistically non-significant excesses of 1 and 8% remained, indicating trivial differences potentially attributable to the two reporting techniques. With attention to confounding, it should be possible to combine the web and IVR for simple reporting of infectious disease symptoms.
Literature
1.
go back to reference Hitchcock P, Chamberlain A, Van WM, Inglesby TV, O’Toole T. Challenges to global surveillance and response to infectious disease outbreaks of international importance. Biosecur Bioterror. 2007;5(3):206–27.CrossRefPubMed Hitchcock P, Chamberlain A, Van WM, Inglesby TV, O’Toole T. Challenges to global surveillance and response to infectious disease outbreaks of international importance. Biosecur Bioterror. 2007;5(3):206–27.CrossRefPubMed
2.
go back to reference Zeldenrust ME, Rahamat-Langendoen JC, Postma MJ, van Vliet JA. The value of ProMED-mail for the Early Warning Committee in the Netherlands: more specific approach recommended. Euro Surveill. 2008; 13(6). Zeldenrust ME, Rahamat-Langendoen JC, Postma MJ, van Vliet JA. The value of ProMED-mail for the Early Warning Committee in the Netherlands: more specific approach recommended. Euro Surveill. 2008; 13(6).
3.
go back to reference Rolfhamre P, Jansson A, Arneborn M, Ekdahl K. SmiNet-2: description of an internet-based surveillance system for communicable diseases in Sweden. Euro Surveill. 2006;11(5):103–7.PubMed Rolfhamre P, Jansson A, Arneborn M, Ekdahl K. SmiNet-2: description of an internet-based surveillance system for communicable diseases in Sweden. Euro Surveill. 2006;11(5):103–7.PubMed
4.
go back to reference Romanowska M, Nowak I, Rybicka K, Brydak LB. The introduction of the SENTINEL influenza surveillance system in Poland–experiences and lessons learned from the first three epidemic seasons. Euro Surveill. 2008;13(8). Romanowska M, Nowak I, Rybicka K, Brydak LB. The introduction of the SENTINEL influenza surveillance system in Poland–experiences and lessons learned from the first three epidemic seasons. Euro Surveill. 2008;13(8).
5.
go back to reference Morse SS. Global infectious disease surveillance and health intelligence. Health Aff (Millwood). 2007;26(4):1069–77.CrossRef Morse SS. Global infectious disease surveillance and health intelligence. Health Aff (Millwood). 2007;26(4):1069–77.CrossRef
6.
go back to reference Bean NH, Martin SM. Implementing a network for electronic surveillance reporting from public health reference laboratories: an international perspective. Emerg Infect Dis. 2001;7(5):773–9.CrossRefPubMed Bean NH, Martin SM. Implementing a network for electronic surveillance reporting from public health reference laboratories: an international perspective. Emerg Infect Dis. 2001;7(5):773–9.CrossRefPubMed
7.
go back to reference ITU/UNCTAD 2007. World information society report: beyond WSIS. International Telecomunication Union (ITU); 2007. Report No. 3. ITU/UNCTAD 2007. World information society report: beyond WSIS. International Telecomunication Union (ITU); 2007. Report No. 3.
8.
go back to reference Ekman A, Dickman PW, Klint A, Weiderpass E, Litton JE. Feasibility of using web-based questionnaires in large population-based epidemiological studies. Eur J Epidemiol. 2006;21(2):103–11.CrossRefPubMed Ekman A, Dickman PW, Klint A, Weiderpass E, Litton JE. Feasibility of using web-based questionnaires in large population-based epidemiological studies. Eur J Epidemiol. 2006;21(2):103–11.CrossRefPubMed
9.
go back to reference Cook C. A meta-analysis of response rates in web or internet based surveys. Educ Phychol Meas. 2000;60(6):321–36. Cook C. A meta-analysis of response rates in web or internet based surveys. Educ Phychol Meas. 2000;60(6):321–36.
10.
go back to reference Corkrey R, Parkinson L. Interactive Voice Response: review of studies 1989–2000. Behav Res Methods Instrum Comput. 2002;34(3):342–53.PubMed Corkrey R, Parkinson L. Interactive Voice Response: review of studies 1989–2000. Behav Res Methods Instrum Comput. 2002;34(3):342–53.PubMed
11.
go back to reference Tourangeau R, Miller Steiger D, Wilson D. Self-administrated questions by telephone. Public Opin Q. 2002;66:265–78.CrossRef Tourangeau R, Miller Steiger D, Wilson D. Self-administrated questions by telephone. Public Opin Q. 2002;66:265–78.CrossRef
12.
go back to reference Rodriguez HP, von GT, Rogers WH, Chang H, Fanjiang G, Safran DG. Evaluating patients’ experiences with individual physicians: a randomized trial of mail, internet, and Interactive Voice Response telephone administration of surveys. Med Care. 2006;44(2):167–74.CrossRefPubMed Rodriguez HP, von GT, Rogers WH, Chang H, Fanjiang G, Safran DG. Evaluating patients’ experiences with individual physicians: a randomized trial of mail, internet, and Interactive Voice Response telephone administration of surveys. Med Care. 2006;44(2):167–74.CrossRefPubMed
13.
go back to reference Greene J, Speizer H, Wiitala W. Telephone and web: mixed-mode challenge. Health Serv Res. 2008;43(1 Pt 1):230–48.PubMed Greene J, Speizer H, Wiitala W. Telephone and web: mixed-mode challenge. Health Serv Res. 2008;43(1 Pt 1):230–48.PubMed
14.
go back to reference Ludvigsson JF, Otterblad-Olausson P, Pettersson BU, Ekbom A. The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol. 2009;24(11):659–67.CrossRefPubMed Ludvigsson JF, Otterblad-Olausson P, Pettersson BU, Ekbom A. The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol. 2009;24(11):659–67.CrossRefPubMed
15.
go back to reference Link MW, Mokdad AH. Alternative modes for health surveillance surveys: an experiment with web, mail, and telephone. Epidemiology. 2005;16(5):701–4.CrossRefPubMed Link MW, Mokdad AH. Alternative modes for health surveillance surveys: an experiment with web, mail, and telephone. Epidemiology. 2005;16(5):701–4.CrossRefPubMed
16.
go back to reference Gosling SD, Vazire S, Srivastava S, John OP. Should we trust web-based studies? A comparative analysis of six preconceptions about internet questionnaires. Am Psychol. 2004;59(2):93–104.CrossRefPubMed Gosling SD, Vazire S, Srivastava S, John OP. Should we trust web-based studies? A comparative analysis of six preconceptions about internet questionnaires. Am Psychol. 2004;59(2):93–104.CrossRefPubMed
17.
go back to reference Roster CR, Albaum G. A comparison of response characteristics from web and telephone surveys. Int J Mark Res. 2004;46(3):359–73. Roster CR, Albaum G. A comparison of response characteristics from web and telephone surveys. Int J Mark Res. 2004;46(3):359–73.
18.
go back to reference Tolonen H, Dobson A, Kulathinal S. Effect on trend estimates of the difference between survey respondents and non-respondents: results from 27 populations in the WHO MONICA Project. Eur J Epidemiol. 2005;20(11):887–98.CrossRefPubMed Tolonen H, Dobson A, Kulathinal S. Effect on trend estimates of the difference between survey respondents and non-respondents: results from 27 populations in the WHO MONICA Project. Eur J Epidemiol. 2005;20(11):887–98.CrossRefPubMed
19.
go back to reference Tolonen H, Helakorpi S, Talala K, Helasoja V, Martelin T, Prattala R. 25-year trends and socio-demographic differences in response rates: finnish adult health behaviour survey. Eur J Epidemiol. 2006;21(6):409–15.CrossRefPubMed Tolonen H, Helakorpi S, Talala K, Helasoja V, Martelin T, Prattala R. 25-year trends and socio-demographic differences in response rates: finnish adult health behaviour survey. Eur J Epidemiol. 2006;21(6):409–15.CrossRefPubMed
20.
go back to reference Eaker S, Bergstrom R, Bergstrom A, Adami HO, Nyren O. Response rate to mailed epidemiologic questionnaires: a population-based randomized trial of variations in design and mailing routines. Am J Epidemiol. 1998;147(1):74–82.PubMed Eaker S, Bergstrom R, Bergstrom A, Adami HO, Nyren O. Response rate to mailed epidemiologic questionnaires: a population-based randomized trial of variations in design and mailing routines. Am J Epidemiol. 1998;147(1):74–82.PubMed
21.
22.
go back to reference Owen-Smith V, Burgess-Allen J, Lavelle K, Wilding E. Can lifestyle surveys survive a low response rate? Public Health. 2008;122(12):1382–3.CrossRefPubMed Owen-Smith V, Burgess-Allen J, Lavelle K, Wilding E. Can lifestyle surveys survive a low response rate? Public Health. 2008;122(12):1382–3.CrossRefPubMed
23.
go back to reference Cohen S, Alper CM, Doyle WJ, Adler N, Treanor JJ, Turner RB. Objective and subjective socioeconomic status and susceptibility to the common cold. Health Psychol. 2008;27(2):268–74.CrossRefPubMed Cohen S, Alper CM, Doyle WJ, Adler N, Treanor JJ, Turner RB. Objective and subjective socioeconomic status and susceptibility to the common cold. Health Psychol. 2008;27(2):268–74.CrossRefPubMed
24.
go back to reference Cohen S, Doyle WJ, Turner RB, Alper CM, Skoner DP. Childhood socioeconomic status and host resistance to infectious illness in adulthood. Psychosom Med. 2004;66(4):553–8.CrossRefPubMed Cohen S, Doyle WJ, Turner RB, Alper CM, Skoner DP. Childhood socioeconomic status and host resistance to infectious illness in adulthood. Psychosom Med. 2004;66(4):553–8.CrossRefPubMed
25.
go back to reference Olson DR, Heffernan RT, Paladini M, Konty K, Weiss D, Mostashari F. Monitoring the impact of influenza by age: emergency department fever and respiratory complaint surveillance in New York City. PLoS Med. 2007;4(8):e247. Olson DR, Heffernan RT, Paladini M, Konty K, Weiss D, Mostashari F. Monitoring the impact of influenza by age: emergency department fever and respiratory complaint surveillance in New York City. PLoS Med. 2007;4(8):e247.
26.
go back to reference Turbelin C, Pelat C, Boelle PY, Levy-Bruhl D, Carrat F, Blanchon T, et al. Early estimates of 2009 pandemic influenza A(H1N1) virus activity in general practice in France: incidence of influenza-like illness and age distribution of reported cases. Euro Surveill. 2009;14(39). Turbelin C, Pelat C, Boelle PY, Levy-Bruhl D, Carrat F, Blanchon T, et al. Early estimates of 2009 pandemic influenza A(H1N1) virus activity in general practice in France: incidence of influenza-like illness and age distribution of reported cases. Euro Surveill. 2009;14(39).
27.
go back to reference Friesema IH, Koppeschaar CE, Donker GA, Dijkstra F, van Noort SP, Smallenburg R, et al. Internet-based monitoring of influenza-like illness in the general population: experience of five influenza seasons in the Netherlands. Vaccine. 2009;27(45):6353–7.CrossRefPubMed Friesema IH, Koppeschaar CE, Donker GA, Dijkstra F, van Noort SP, Smallenburg R, et al. Internet-based monitoring of influenza-like illness in the general population: experience of five influenza seasons in the Netherlands. Vaccine. 2009;27(45):6353–7.CrossRefPubMed
28.
go back to reference Fiore AE, Shay DK, Broder K, Iskander JK, Uyeki TM, Mootrey G, et al. Prevention and control of influenza: recommendations of the Advisory Committee on Immunization Practices (ACIP), 2008. MMWR Recomm Rep 2008;57(RR-7):1–60. Fiore AE, Shay DK, Broder K, Iskander JK, Uyeki TM, Mootrey G, et al. Prevention and control of influenza: recommendations of the Advisory Committee on Immunization Practices (ACIP), 2008. MMWR Recomm Rep 2008;57(RR-7):1–60.
29.
go back to reference Influenza, strategies for prevention and control. Stockholm: National Board of Health and Welfare; 2007. Influenza, strategies for prevention and control. Stockholm: National Board of Health and Welfare; 2007.
30.
go back to reference Bradburn N. Response effects. New York: Academic Press; 1983. Bradburn N. Response effects. New York: Academic Press; 1983.
31.
go back to reference Jonsson C. The Swedish population’s use of the internet and telephones—an individ survey. Stockholm: Swedish National Post and Telecom Agency; 2008. Report No.: PTS-ER-2008:24. Jonsson C. The Swedish population’s use of the internet and telephones—an individ survey. Stockholm: Swedish National Post and Telecom Agency; 2008. Report No.: PTS-ER-2008:24.
Metadata
Title
Interactive Voice Response and web-based questionnaires for population-based infectious disease reporting
Authors
Christin Bexelius
Hanna Merk
Sven Sandin
Olof Nyrén
Sharon Kühlmann-Berenzon
Annika Linde
Jan-Eric Litton
Publication date
01-10-2010
Publisher
Springer Netherlands
Published in
European Journal of Epidemiology / Issue 10/2010
Print ISSN: 0393-2990
Electronic ISSN: 1573-7284
DOI
https://doi.org/10.1007/s10654-010-9484-y

Other articles of this Issue 10/2010

European Journal of Epidemiology 10/2010 Go to the issue