Using a computer-tailored COPD screening assessment to promote advice-seeking behaviors

A Comparative Study on Online Advice-Seeking Strategies between Malaysian and Australian Women

“…Characteristics of the advice-seeker is another factor whereby past research looking at demographic and sociocultural variables found that subgroups of society which were more dependent and vulnerable (e.g. the aged and the sick) were more likely to seek help than their more independent and capable counterparts (Gall, 1985;Paige et al, 2021). A study by Gino et al (2012) also revealed that people with higher anxiety levels and lower self-confidence were more inclined to seek advice as opposed to those who were less anxious and more confident.…”

Patient message preferences to promote clinical conversations about chronic obstructive pulmonary disease (COPD): A discrete choice experiment

“…There is a long history of medical distrust among racial/ethnic minority and low socioeconomic populations [ 25 ], and this study demonstrates that messages featuring both clinicians and patients may be the key to motivating minority groups to discuss their risk for COPD with a clinician. Prior research has found that current smoking status is a predictor of discussing respiratory ailments with clinicians [ 11 , 26 ]; however, this is the first study to demonstrate that messages from medical authorities significantly motivates former smokers to talk with a clinician about COPD.…”

“…Adults who reside in rural regions, especially those living with a low socioeconomic status and report a history of smoking tobacco, are disproportionately affected by COPD [ 9 , 10 ], and they are subgroup of the population likely to be undiagnosed or receive a late-stage diagnosis [ 10 ]. A recent study found that current smokers are motivated to speak with their clinician about COPD after completing a risk assessment that instructs them to speak with a clinician [ 11 ]. However, the relationship between smoking status and talking with a clinician about COPD was no longer statistically significant after adjusting for rurality, income, and education among other demographic variables.…”