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Eliciting Preferences for Clinical Follow-Up in Patients with Head and Neck Cancer Using Best-Worst Scaling.

Authors :
Meregaglia, Michela
Cairns, John
Alfieri, Salvatore
Favales, Federica
Mazzitelli, Daniela
Orlandi, Ester
Licitra, Lisa
Bossi, Paolo
Source :
Value in Health. Jun2017, Vol. 20 Issue 6, p799-808. 10p.
Publication Year :
2017

Abstract

<bold>Objectives: </bold>There are no commonly accepted standards for monitoring patients treated for head and neck cancer. The aim of this study was to assess patients' preferences for different aspects of follow-up.<bold>Methods: </bold>A best-worst survey was conducted in a sample of head and neck cancer patients in clinical follow-up at the National Cancer Institute (Milan, Italy). Conditional logit regression with choice as the dependent variable was run to analyse the data. A covariate-adjusted analysis was performed in order to identify socio-demographic and clinical factors related to the selection of best-worst items. The participants were asked to report any difficulties encountered during the survey.<bold>Results: </bold>A total of 143 patients, predominantly male (74%) and with a mean age of 58 years were enrolled in the survey. The strongest positive preference was expressed for a hospital-based program of physical examinations with frequency decreasing over time. Conversely, the lowest valued item was not performing any positron emission tomography (PET) scan during follow-up. Patients with high educational levels were more likely to value attending a primary care-based program and undergoing intensive radiological investigations. Other patient-specific variables significantly associated with the choice of items were employment and living status, time already spent in follow-up and number of treatments received.<bold>Conclusions: </bold>Overall, patients were more likely to choose an intensive follow-up scheme broadly consistent with the program currently administered by the hospital. There is little evidence of preference heterogeneity that might justify customized programs based on demographics. The best-worst scaling task appeared feasible for most participants. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10983015
Volume :
20
Issue :
6
Database :
Academic Search Index
Journal :
Value in Health
Publication Type :
Academic Journal
Accession number :
123372910
Full Text :
https://doi.org/10.1016/j.jval.2017.01.012