title: Lung cancer patient follow-up: motivation of thoracic surgeons.
abstract: OBJECTIVE
  To analyze variation in beliefs that potentially motivate thoracic surgeons in the design of posttreatment surveillance strategies for lung cancer patients and to examine the relationship between motivation and follow-up intensity.
  
  
  METHODS
  International survey.
  
  
  METHODS
  Ambulatory care.
  
  
  METHODS
  All 3,700 members of the Society of Thoracic Surgeons were surveyed to measure their follow-up practices during the 5-year period after treatment, physician beliefs, and variation in these beliefs. The relationship between beliefs, as potentially motivating factors, and follow-up intensity was also analyzed.
  
  
  RESULTS
  Age, General Thoracic Surgery Club membership, percentage of practice that was noncardiac, South Central United States practice location, and overseas practice location were most frequently related to beliefs that potentially motivate physicians in the design of surveillance strategies. When viewed independently of follow-up practice patterns, thoracic surgeons appear to be motivated by the desire to please patients, avoid malpractice suits, and improve patient quality of life. When viewed in relation to self-reported follow-up, none of these motivating factors were consistently associated with follow-up intensity. Belief in curative treatment of recurrence and enhanced likelihood of immediate palliative treatment leading to improved survival were the factors most frequently associated with variation in follow-up. Although the ability of the logistic and stepwise regression models to predict test use and follow-up intensity was less than optimal for TNM stage I patients, predictive ability was substantially improved for TNM stage II and III patients by including earlier-stage practice patterns as an independent variable.
  
  
  CONCLUSIONS
  Physician characteristics and beliefs predicted a less than expected amount of the variation in self-reported follow-up intensity by TNM stage when modelled without knowledge of follow-up practice for any other TNM stage. Discrepancies between self-reported and actual follow-up may be partially responsible, although lack of surveillance guidelines is more likely. The inclusion of barriers to follow-up may improve future models.
authors.affiliation: Department of Surgery, St. Louis University Health Sciences Center, Department of Veterans Affairs Medical Center, MO 63110-0250, USA. virgoks@slu.edu
authors.forename: K S
authors.initials: KS
authors.lastname: Virgo
authors.forename: K S
authors.initials: KS
authors.lastname: Naunheim
authors.forename: M A
authors.initials: MA
authors.lastname: Coplin
authors.forename: F E
authors.initials: FE
authors.lastname: Johnson
mesh_terms: D000328:Adult; D000367:Age Factors; D001291:Attitude of Health Personnel; D019538:Health Care Surveys; D006801:Humans; D016018:Least-Squares Analysis; D016015:Logistic Models; D008175:Lung Neoplasms / Q000473:pathology / Q000517:prevention & control*; D008403:Mass Screening; D008875:Middle Aged; D009042:Motivation; D016017:Odds Ratio; D010166:Palliative Care; D010818:Practice Patterns, Physicians'; D012955:Societies, Medical; D013903:Thoracic Surgery