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. 2001 Jun;55(6):408–413. doi: 10.1136/jech.55.6.408

National health surveys by mail or home interview: effects on response

H Picavet 1
PMCID: PMC1731902  PMID: 11350999

Abstract

STUDY OBJECTIVE—To study the effect of using a mail questionnaire or home interviews on the size and the selectivity of response to national health surveys.
DESIGN—The interview survey and the mail survey were both carried out in the same country (the Netherlands) using the same sample frame, the same study period (1998) and collected partly the same data on demographic, socioeconomic and health characteristics.
SETTING—The Netherlands.
PARTICIPANTS—Dutch non-institutionalised inhabitants aged 25 years and over.
MAIN RESULTS—Response to the mail survey was lower (46.9%, n=3664) than to the interview survey (58.5%, n=6061). The mail survey gave higher response rates for women and lower response rates for persons with lower levels of education. Respondents to the mail survey reported lower rates of smoking but a slightly worse health status and higher figures on the use of health care services. No differences by method of data collection were found for age, marital status, region, household composition, work status and categories of body mass index.
CONCLUSION—Although the response of the mail survey was lower than the home interview survey, respondents showed generally small differences, with exception of level of education.


Keywords: mail surveys; interview surveys; non-response

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Selected References

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  1. Asch D. A., Jedrziewski M. K., Christakis N. A. Response rates to mail surveys published in medical journals. J Clin Epidemiol. 1997 Oct;50(10):1129–1136. doi: 10.1016/s0895-4356(97)00126-1. [DOI] [PubMed] [Google Scholar]
  2. Barton J., Bain C., Hennekens C. H., Rosner B., Belanger C., Roth A., Speizer F. E. Characteristics of respondents and non-respondents to a mailed questionnaire. Am J Public Health. 1980 Aug;70(8):823–825. doi: 10.2105/ajph.70.8.823. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bongers I. M., Van Oers J. A. Mode effects on self-reported alcohol use and problem drinking: mail questionnaires and personal interviewing compared. J Stud Alcohol. 1998 May;59(3):280–285. doi: 10.15288/jsa.1998.59.280. [DOI] [PubMed] [Google Scholar]
  4. Boström G., Hallqvist J., Haglund B. J., Romelsjö A., Svanström L., Diderichsen F. Socioeconomic differences in smoking in an urban Swedish population. The bias introduced by non-participation in a mailed questionnaire. Scand J Soc Med. 1993 Jun;21(2):77–82. doi: 10.1177/140349489302100204. [DOI] [PubMed] [Google Scholar]
  5. Côté P., Cassidy J. D., Carroll L. The Saskatchewan Health and Back Pain Survey. The prevalence of neck pain and related disability in Saskatchewan adults. Spine (Phila Pa 1976) 1998 Aug 1;23(15):1689–1698. doi: 10.1097/00007632-199808010-00015. [DOI] [PubMed] [Google Scholar]
  6. Dengler R., Roberts H., Rushton L. Lifestyle surveys--the complete answer? J Epidemiol Community Health. 1997 Feb;51(1):46–51. doi: 10.1136/jech.51.1.46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Droomers M., Schrijvers C. T., van de Mheen H., Mackenbach J. P. Educational differences in leisure-time physical inactivity: a descriptive and explanatory study. Soc Sci Med. 1998 Dec;47(11):1665–1676. doi: 10.1016/s0277-9536(98)00272-x. [DOI] [PubMed] [Google Scholar]
  8. Eaker S., Bergström R., Bergström A., Adami H. O., Nyren O. Response rate to mailed epidemiologic questionnaires: a population-based randomized trial of variations in design and mailing routines. Am J Epidemiol. 1998 Jan 1;147(1):74–82. doi: 10.1093/oxfordjournals.aje.a009370. [DOI] [PubMed] [Google Scholar]
  9. Eastwood B. J., Gregor R. D., MacLean D. R., Wolf H. K. Effects of recruitment strategy on response rates and risk factor profile in two cardiovascular surveys. Int J Epidemiol. 1996 Aug;25(4):763–769. doi: 10.1093/ije/25.4.763. [DOI] [PubMed] [Google Scholar]
  10. Etter J. F., Perneger T. V. Analysis of non-response bias in a mailed health survey. J Clin Epidemiol. 1997 Oct;50(10):1123–1128. doi: 10.1016/s0895-4356(97)00166-2. [DOI] [PubMed] [Google Scholar]
  11. Hoffman S. C., Burke A. E., Helzlsouer K. J., Comstock G. W. Controlled trial of the effect of length, incentives, and follow-up techniques on response to a mailed questionnaire. Am J Epidemiol. 1998 Nov 15;148(10):1007–1011. doi: 10.1093/oxfordjournals.aje.a009566. [DOI] [PubMed] [Google Scholar]
  12. Hupkens C. L., van den Berg J., van der Zee J. National health interview surveys in Europe: an overview. Health Policy. 1999 May;47(2):145–168. doi: 10.1016/s0168-8510(99)00015-9. [DOI] [PubMed] [Google Scholar]
  13. Hébert R., Bravo G., Korner-Bitensky N., Voyer L. Refusal and information bias associated with postal questionnaires and face-to-face interviews in very elderly subjects. J Clin Epidemiol. 1996 Mar;49(3):373–381. doi: 10.1016/0895-4356(95)00527-7. [DOI] [PubMed] [Google Scholar]
  14. Kessler R. C., Little R. J., Groves R. M. Advances in strategies for minimizing and adjusting for survey nonresponse. Epidemiol Rev. 1995;17(1):192–204. doi: 10.1093/oxfordjournals.epirev.a036176. [DOI] [PubMed] [Google Scholar]
  15. Launer L. J., Wind A. W., Deeg D. J. Nonresponse pattern and bias in a community-based cross-sectional study of cognitive functioning among the elderly. Am J Epidemiol. 1994 Apr 15;139(8):803–812. doi: 10.1093/oxfordjournals.aje.a117077. [DOI] [PubMed] [Google Scholar]
  16. Lund E., Gram I. T. Response rate according to title and length of questionnaire. Scand J Soc Med. 1998 Jun;26(2):154–160. doi: 10.1177/14034948980260020401. [DOI] [PubMed] [Google Scholar]
  17. Lyons R. A., Wareham K., Lucas M., Price D., Williams J., Hutchings H. A. SF-36 scores vary by method of administration: implications for study design. J Public Health Med. 1999 Mar;21(1):41–45. doi: 10.1093/pubmed/21.1.41. [DOI] [PubMed] [Google Scholar]
  18. Macera C. A., Jackson K. L., Davis D. R., Kronenfeld J. J., Blair S. N. Patterns of non-response to a mail survey. J Clin Epidemiol. 1990;43(12):1427–1430. doi: 10.1016/0895-4356(90)90112-3. [DOI] [PubMed] [Google Scholar]
  19. Mackenbach J. P., Kunst A. E., Cavelaars A. E., Groenhof F., Geurts J. J. Socioeconomic inequalities in morbidity and mortality in western Europe. The EU Working Group on Socioeconomic Inequalities in Health. Lancet. 1997 Jun 7;349(9066):1655–1659. doi: 10.1016/s0140-6736(96)07226-1. [DOI] [PubMed] [Google Scholar]
  20. Mallinson S. The Short-Form 36 and older people: some problems encountered when using postal administration. J Epidemiol Community Health. 1998 May;52(5):324–328. doi: 10.1136/jech.52.5.324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. McHorney C. A., Kosinski M., Ware J. E., Jr Comparisons of the costs and quality of norms for the SF-36 health survey collected by mail versus telephone interview: results from a national survey. Med Care. 1994 Jun;32(6):551–567. doi: 10.1097/00005650-199406000-00002. [DOI] [PubMed] [Google Scholar]
  22. O'Toole B. I., Battistutta D., Long A., Crouch K. A comparison of costs and data quality of three health survey methods: mail, telephone and personal home interview. Am J Epidemiol. 1986 Aug;124(2):317–328. doi: 10.1093/oxfordjournals.aje.a114390. [DOI] [PubMed] [Google Scholar]
  23. Paganini-Hill A., Hsu G., Chao A., Ross R. K. Comparison of early and late respondents to a postal health survey questionnaire. Epidemiology. 1993 Jul;4(4):375–379. doi: 10.1097/00001648-199307000-00014. [DOI] [PubMed] [Google Scholar]
  24. Picavet H. S., van den Bos G. A. Comparing survey data on functional disability: the impact of some methodological differences. J Epidemiol Community Health. 1996 Feb;50(1):86–93. doi: 10.1136/jech.50.1.86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Pope D., Croft P. Surveys using general practice registers: who are the non-responders? J Public Health Med. 1996 Mar;18(1):6–12. doi: 10.1093/oxfordjournals.pubmed.a024464. [DOI] [PubMed] [Google Scholar]
  26. Reijneveld S. A., Stronks K. The impact of response bias on estimates of health care utilization in a metropolitan area: the use of administrative data. Int J Epidemiol. 1999 Dec;28(6):1134–1140. doi: 10.1093/ije/28.6.1134. [DOI] [PubMed] [Google Scholar]
  27. Siemiatycki J. A comparison of mail, telephone, and home interview strategies for household health surveys. Am J Public Health. 1979 Mar;69(3):238–245. doi: 10.2105/ajph.69.3.238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Siemiatycki J., Campbell S. Nonresponse bias and early versus all responders in mail and telephone surveys. Am J Epidemiol. 1984 Aug;120(2):291–301. doi: 10.1093/oxfordjournals.aje.a113892. [DOI] [PubMed] [Google Scholar]
  29. Weinberger M., Oddone E. Z., Samsa G. P., Landsman P. B. Are health-related quality-of-life measures affected by the mode of administration? J Clin Epidemiol. 1996 Feb;49(2):135–140. doi: 10.1016/0895-4356(95)00556-0. [DOI] [PubMed] [Google Scholar]

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