Aim: The current research carried out patient classification based on the individual characteristics found
in the diagnostic information of clinical records while also outlining continued consultation in an
outpatient smoking cessation clinic. The purpose of this research was to uncover the characteristics of
patients who discontinue attendance at outpatient smoking cessation clinics.
Method: The research design was a retrospective cohort study in a single institution. There were 374
participants drawn from 468 patients seen at Hospital A between April 1st, 2008, and March 31st, 2014, after
excluding 81 patients whose initial consultation data were lost and a further 13 patients who discontinued
treatment with the consent of their physician. Patients were classified using latent class analysis, and the
characteristics of each class was subsequently identified.
Results: A total of four classes—one continuer class and three discontinuer classes—were identified for
patients who attended at least five continued-consultation sessions. Moreover, classes categorized according
to patient characteristics were named: achiever (70.3% class size), early-stage discontinuer (8.5% class
size), middle-stage discontinuer (10.3% class size), and final-stage discontinuer class (10.9% class size).
Furthermore, when patients were classified according to a 90% attribution probability, it was possible to
classify 98.1% of participants into one of the classes.
Conclusions: It was revealed that patients can be classified according to time of discontinuation using the
latent class model. This suggests that it could be possible for medical practitioners to predict time of
discontinuation from patient information gathered at the initial consultation. If discontinuation timing
could be predicted at the initial consultation, it would be possible to offer more suitable smoking
cessation support to individual patients. Thus, it is thought that this could lead to improved rates of
continued attendance at outpatient smoking-cessation clinics and to consequently ameliorate clinic-based
complete smoking cessation and healthy life expectancy.
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