Strengths and limitations
REGRESSION
To our knowledge, this is one of the first reports of the uptake of signposting to web-based general health promotion in general practice. The models from our statistical analysis give us an opportunity to generalise many of our findings to a larger population. This study tries to build upon the evidence base underlying signposting and provides information about participant characteristics that could be useful when developing new resources related to signposting or evaluating other ongoing resources related to signposting.Several limitations of our study need to be acknowledged. First, our sample was relatively privileged, with the majority of the women being married, employed, and living with a partner, which could indicate a higher level of opportunity to engage in research studies like this. Furthermore, most of the women that were included lived in relatively affluent areas in the urban capital region of Denmark. All of these are factors that could limit the generalisability of the study. Our sample is also exposed to selection bias. The practices that participated have an interest in pregnancy and paediatrics. Within-practice bias is also apparent since not everybody will be invited to the study, and some that were invited did not accept [Second, we did not have information about educational background available, which might have been useful in interpreting the results. It is possible that women with higher educational levels might be more likely to use an intervention like this. Information about income was also not available. Occupational status was therefore our only measure of socioeconomic status.Third, we used several questionnaires in our study. Each questionnaire is time-consuming and could potentially feel unmanageable, possibly more likely among women with low levels of resources.Fourth, our sample size at practice level in our GLMM analysis was small at 31. Sample sizes of 50 or less may lead to biased estimates of the standard errors. Estimates of regression coefficients are however unbiased [Finally, we were unable to match ten emails that were not registered in RedCAP, so it is possible that up to ten individuals classified as non-users should have been included in the user group.