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LettersVariations in population health status![]() ![]() Non-response rates were not reported ![]()
EDITOR We are informed that the respondents were representative of the general
population in respect of age, sex, and social class. They may
well have a similar distribution of these characteristics to
the general population, but this does not make their views of
their health status representative. Without knowing the non-response
figures and the reasons for non-response, one can have no
confidence in their conclusion. The authors' sample consisted of 6080 addresses, at each of which
one adult aged 18 or over was sampled. Of the selected
addresses, 12% were unproductive as they were non-residential,
empty, or the locations were untraceable. The final sample
comprised "3395 subjects." If it was intended to sample one
adult from each of the supposedly remaining
5351 addresses, then, by my calculations,
3395 represents a response rate of 63%. What happened to the
other 1956, and who were they? The explanation is unlikely
to be non-contact by the interviewer of at least someone in the
household, given that figures from the Office for National
Statistics for 1993 (the year the survey was undertaken) show
that 63% of British households were occupied by two or more
adults.2
These figures imply that the response rate was poor and that this was
mainly because of people's refusal to take part. A poor
response rate could lead to unrepresentative findings. Maybe
there is another explanation for the number of adults
interviewed; if so, the authors should have provided
it. In addition, it is not possible to deduce the item non-response rates
from their tables, as they only reported the numbers of people
who reported problems. I assume that item response was good
because this was an interview, not a postal, survey (and the
responses in figure 1 can be totalled to make 3381). This
information should have been provided, however, and commented
on, for potential users of the instrument.
Author's reply
EDITOR All voluntary surveys are subject to non-response, and there can be no
set definition of what constitutes a poor response rate or,
indeed, a satisfactory one. There is clearly a relation between
the proportion of responders who contribute to a study and the
extent to which the data they generate can safely be regarded
as being representative of the study population as a whole.
Much depends on the magnitude of the non-response and, most
importantly, on the degree to which the disposition (not) to
respond is correlated with important survey variables Findings like these can never provide a complete guarantee against
non-response bias, but they do confirm our belief that the
survey results are likely to be broadly representative of the
population as a whole. Those with a residual concern about this
might wish to consult table 5.24 in the health survey for
England,1
which indicates rates of self reported health problems on the
EQ-5D that are not dissimilar to those reported in our study.
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