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Currently, aside from palpation and risk-assessment questionnaires, there is no prescreening test that can improve the accuracy, safety, and cost effectiveness of screening low-risk populations.
Certainly, there are best-seller lists; there are samples of library borrowings (many fewer of these in the current climate of budget cuts); there are regular publishing-industry questionnaires; there is, at any rate, earlier in the period, the evidence of Mass Observation surveys.
As in all interviews and questionnaires, there is a potential for subjective interpretation of both questions and answers.
However, as our data were derived from self-administered questionnaires, there is no way of knowing what policies are currently in place and their relative effectiveness.
In any mailed self-administered questionnaires there is always a possibility that other persons may have influenced the participant when filling in their responses.
As other studies are addressing the factors that can only be ascertained through questionnaires, there is less impetus to have a further study addressing the same issues.
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In 7.3% of the questionnaires there was only a single item considered to be "not applicable", whereas in 9.4% of the questionnaires more than 6 items were "not applicable", i.e., more than 20% of the items were "not applicable".
Along with the questionnaires there was a cover letter explaining the purpose of the study, providing the researchers' affiliation and contact information, and clearly stating that answers would be confidential and anonymity would be guaranteed in the final data reports.
For the baseline questionnaire there were four sets of items: socio-demographics, health characteristics, current relationship information, and reasons for attending counselling/GC course.
In this large study of responders to a health status questionnaire there was a slight increase in the percentage of participants consulting primary care following the survey.
According to categorical data in questionnaires there was no significant difference (p = 0.12) in the frequency of all headaches combined during pregnancy (Q2, n = 1,122 had headache and answered) compared to before (Q1, n = 1,269 had headache and answered) among women who participated in both questionnaires (n = 1,618).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com