“…Nevertheless, this gap is likely to reflect differences in perceptions regarding the nature, severity, and consequences of IBS among patients and physicians. Previously reported differences relate mainly to the etiology of IBS, diagnostic criteria and dietary advice [18][19][20][21].…”
Practice guidelines for IBS should emphasize a better understanding of a patient's expectations and the therapeutic value of patient-provider communication.
“…Nevertheless, this gap is likely to reflect differences in perceptions regarding the nature, severity, and consequences of IBS among patients and physicians. Previously reported differences relate mainly to the etiology of IBS, diagnostic criteria and dietary advice [18][19][20][21].…”
Practice guidelines for IBS should emphasize a better understanding of a patient's expectations and the therapeutic value of patient-provider communication.
“…In health care research Q-methodology is widely seen as a relatively novel method, though it has been around for about 70 years [36] and was recently applied to a range of subjects in heath care [37][38][39][40][41][42]. Q-methodology provides a foundation for the systematic study of subjectivity, people's viewpoints, beliefs, attitudes, feelings, opinions, and the like [43][44][45][46][47].…”
“…Q-methodology is perhaps fairly novel in transportation research, but it has been around for about 75 years (Stephenson 1935) and is well-established in the political and social sciences (De Graaf 2005;De Graaf and van Exel 2009;Durning 1999;Ellis et al 2007;Niemeyer et al 2005;Steelman and Maguire 1999;Van Eeten 2000) and health services research (Baker 2006;Boot et al 2009;Bryant et al 2006;Cramm et al 2009;Jedeloo et al 2010;Kreuger et al 2008;Risdon et al 2003;Stenner et al 2000;Tielen et al 2008;Van Exel et al 2006, 2007. The number of published Q-studies in transportation research is limited.…”
This article presents the results of a study exploring travellers' preferences for middle-distance travel using Q-methodology. Respondents rank-ordered 42 opinion statements regarding travel choice and motivations for travel in general and for car and public transport as alternative travel modes. By-person factor analysis revealed four distinct preference segments for middle-distance travel: (1) choice travellers with a preference for public transport, (2) deliberate-choice travellers, (3) choice travellers with car as dominant alternative, and (4) car-dependent travellers. These preference segments differ in terms of the levels of involvement and cognitive effort in travel decision making, the travel consideration-set and underlying motivations. The study showed that for most people there is more to travel than getting from point A to point B, and that there is considerable heterogeneity in middle-distance travel preferences. Policy implications for reducing the need for travel and promoting a modal shift from car to other travel modes are discussed.
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