Study objectives: To analyze variation in beliefs that potentially motivate
thoracic surgeons in the design of posttreatment surveillance strategies f
or lung cancer patients and to examine the relationship between motivation
and follow-up intensity,
Design: International survey.
Setting: Ambulatory care.
Participants: All 3,700 members of the Society of Thoracic Surgeons were su
rveyed to measure their follow-up practices during the 5-year period after
treatment, physician beliefs, and variation in these beliefs. The relations
hip between beliefs, as potentially motivating factors, and follow-up inten
sity was also analyzed.
Measurements and results: Age, General Thoracic Surgery Club membership, pe
rcentage of practice that was noncardiac, South Central United States pract
ice location, and overseas practice location were most frequently related t
o beliefs that potentially motivate physicians in the design of surveillanc
e strategies. When viewed independently of follow-up practice patterns, tho
racic surgeons appear to be motivated by the desire to please patients, avo
id malpractice suits, and improve patient quality of life. When viewed in r
elation to self-reported follow-up, none of these motivating factors were c
onsistently associated with follow-up intensity. Belief in curative treatme
nt of recurrence and enhanced Likelihood of immediate palliative treatment
leading to improved survival were the factors most frequently associated wi
th variation in follow-up. Although the ability of the logistic and stepwis
e regression models to predict test use and follow-up intensity was less th
an optimal for TNM I stage I patients, predictive ability was substantially
improved for TNM stage II and III patients by including earlier-stage prac
tice patterns as an independent variable.
Conclusions: Physician characteristics and beliefs predicted a less than ex
pected amount of the variation in self-reported follow-up intensity by TNM
stage when modelled without knowledge of follow-up practice for any other T
NM stage, Discrepancies between self-reported and actual follow-up may be p
artially responsible, although lack of surveillance guidelines is more like
ly. The inclusion of barriers to follow-up may improve future models.