The field of “community health” reflects the needs of the community and exemplifies the best of public health research and methods to achieve the shared goal of improving health. The authors

declare that there are no conflicts of interest. The authors thank the following for their review of and comments on this manuscript: Lawrence Barker, Peter Briss, and Leonard Jack. “
“Falling survey response rates present a significant challenge for health research, primarily because of the increasing effects of selective non-response on estimates of the prevalence of health problems and risk behaviour. A typical approach to studying non-response bias is to undertake intensive follow-up of non-respondents and to compare estimates with those obtained using standard Ivacaftor chemical structure survey procedures (Wild et al., 2001). An alternative is to compare respondents and non-respondents in surveys imbedded within larger studies (Van Loon et al., 2003). In one such study, involving a postal survey of cancer risk

factors of individuals participating in a larger study of behavioural risk factors for chronic disease, smoking, physical inactivity, obesity, and poorer self-rated health were found to be more prevalent among non-respondents (Van Loon et al., I-BET151 ic50 2003). In a third paradigm, utilising archival records, mortality subsequent to postal and telephone health surveys has been found to be higher among non-respondents (Barchielli and Balzi, 2002 and Cohen and Duffy, 2002), as have sickness absence rates (Martikainen et al., 2007) and hospital utilisation (Gundgaard et al., 2008 and Kjoller and Thoning, 2005). These findings suggest that people with poorer health tend to avoid participating in health surveys.

There are, however, contrary findings which suggest context specific effects. For example, studies of respiratory health find that respondents have worse respiratory health than non-respondents (Hardie et al., 2003, Kotaniemi et al., 2001 and Verlato et al., 2010). Perhaps in some contexts, less healthy people perceive a greater benefit in responding than healthier people. Differences between respondents and non-respondents have been observed across postal, telephone, Resminostat and face-to-face surveys. There has been a rapid increase in the use of web-based surveys but little is known about non-response bias in this modality. A theoretical framework for studying respondent behaviour is the continuum of resistance model, which posits that willingness of individuals to participate can be inferred from the effort required to elicit participation ( Lin and Schaeffer, 1995). Two methods are used to test the model. In the more commonly used approach, the sampling frame is used to compare the demographic characteristics of those who respond versus those who do not respond.