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An Internet “Value of Health” panel: recruitment, participation and compliance


  • Stein, K
  • Dyer, M
  • Crabb, T
  • Milne, R
  • Round, A
  • Ratcliffe, J
  • Brazier, J


OBJECTIVES To recruit a panel of members of the public to provide preferences in response to the needs of economic evaluators over the course of a year. METHODS A sample of members of the UK general public was recruited in a stratified random sample from the electoral roll and familiarised with the standard gamble method of preference elicitation using an internet based tool. Recruitment (proportion of people approached who were trained), participation (defined as the proportion of people trained who provided any preferences) and compliance (defined as the proportion of preference tasks which were completed) were described. The influence of covariates on these outcomes was investigated using univariate and multivariate analyses. RESULTS A panel of 112 people was recruited. The eventual panel reflected national demographics to some extent, but recruitment from areas of high socioeconomic deprivation and among ethnic minority communities was low. 23% of people who were approached (n= 5,320) responded to the invitation to take part in the study, and 24% of respondents (n=1,215) were willing to participate. However, eventual recruitment rates, following training, were low (2.1% of those approached), although significantly higher in Exeter than other cities. 18 sets of health state descriptions were presented to the panel over 14 months. 74% of panel members praticipated in at least one valuation task. Socioeconomic and marital status were significantly associated with participation. Compliance varied from 3% to 100%, with the average per set of health state descriptions being 41%. Compliance was higher in retired people but otherwise no significant predictors were identified. CONCLUSIONS It is feasible to recruit and train a panel of members of the general public to express preferences on a wide range of health states using the internet in response to the needs of analysts. In order to provide a sample which reflects the demographics of the general public, and capitalise on the increasing opportunities for the use of the internet in this field, over-sampling in areas of high socioeconomic deprivation and among ethnic minority communities is necessary.

Suggested Citation

  • Stein, K & Dyer, M & Crabb, T & Milne, R & Round, A & Ratcliffe, J & Brazier, J, 2006. "An Internet “Value of Health” panel: recruitment, participation and compliance," MPRA Paper 29770, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:29770

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    References listed on IDEAS

    1. Nancy Devlin & David Parkin, 2004. "Does NICE have a cost-effectiveness threshold and what other factors influence its decisions? A binary choice analysis," Health Economics, John Wiley & Sons, Ltd., vol. 13(5), pages 437-452.
    2. Peter A. Ubel & Jeff Richardson & Paul Menzel, 2000. "Societal value, the person trade-off, and the dilemma of whose values to measure for cost-effectiveness analysis," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 127-136.
    3. Buckingham, Ken, 1993. "A note on HYE (healthy years equivalent)," Journal of Health Economics, Elsevier, vol. 12(3), pages 301-309, October.
    4. G. Ardine De Wit & Jan J.V. Busschbach & Frank Th. De Charro, 2000. "Sensitivity and perspective in the valuation of health status: whose values count?," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 109-126.
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    More about this item


    utility; Internet; public; survey;

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I19 - Health, Education, and Welfare - - Health - - - Other


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