Details
| Original language | English |
|---|---|
| Pages (from-to) | 1647-1656 |
| Number of pages | 10 |
| Journal | Patient preference and adherence |
| Volume | 11 |
| Publication status | Published - 26 Sept 2017 |
Abstract
Objectives: There is increasing interest in studies that examine patient preferences to measure health-related outcomes. Understanding patients’ preferences can improve the treatment process and is particularly relevant for oncology. In this study, we aimed to identify the subgroup-specific treatment preferences of German patients with lung cancer (LC) or colorectal cancer (CRC). Methods: Six discrete choice experiment (DCE) attributes were established on the basis of a systematic literature review and qualitative interviews. The DCE analyses comprised generalized linear mixed-effects model and latent class mixed logit model. Results: The study cohort comprised 310 patients (194 with LC, 108 with CRC, 8 with both types of cancer) with a median age of 63 (SD =10.66) years. The generalized linear mixed-effects model showed a significant (P<0.05) degree of association for all of the tested attributes. “Strongly increased life expectancy” was the attribute given the greatest weight by all patient groups. Using latent class mixed logit model analysis, we identified three classes of patients. Patients who were better informed tended to prefer a more balanced relationship between length and health-related quality of life (HRQoL) than those who were less informed. Class 2 (LC patients with low HRQoL who had undergone surgery) gave a very strong weighting to increased length of life. We deduced from Class 3 patients that those with a relatively good life expectancy (CRC compared with LC) gave a greater weight to moderate effects on HRQoL than to a longer life. Conclusion: Overall survival was the most important attribute of therapy for patients with LC or CRC. Differences in treatment preferences between subgroups should be considered in regard to treatment and development of guidelines. Patients’ preferences were not affected by sex or age, but were affected by the cancer type, HRQoL, surgery status, and the main source of information on the disease.
Keywords
- Colorectal cancer, Germany, Latent class model, Lung cancer, Multi-criteria decision making, Patient preferences
ASJC Scopus subject areas
- Medicine(all)
- Medicine (miscellaneous)
- Social Sciences(all)
- Social Sciences (miscellaneous)
- Pharmacology, Toxicology and Pharmaceutics(all)
- Pharmacology, Toxicology and Pharmaceutics (miscellaneous)
- Medicine(all)
- Health Policy
Sustainable Development Goals
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In: Patient preference and adherence, Vol. 11, 26.09.2017, p. 1647-1656.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Therapy preferences of patients with lung and colon cancer
T2 - A discrete choice experiment
AU - Schmidt, Katharina
AU - Damm, Kathrin
AU - Vogel, Arndt
AU - Golpon, Heiko
AU - Manns, Michael P.
AU - Welte, Tobias
AU - Graf von der Schulenburg, J. Matthias
N1 - Funding information: This study was supported by the Federal Ministry of Education and Research (grant number 01EH1201A).
PY - 2017/9/26
Y1 - 2017/9/26
N2 - Objectives: There is increasing interest in studies that examine patient preferences to measure health-related outcomes. Understanding patients’ preferences can improve the treatment process and is particularly relevant for oncology. In this study, we aimed to identify the subgroup-specific treatment preferences of German patients with lung cancer (LC) or colorectal cancer (CRC). Methods: Six discrete choice experiment (DCE) attributes were established on the basis of a systematic literature review and qualitative interviews. The DCE analyses comprised generalized linear mixed-effects model and latent class mixed logit model. Results: The study cohort comprised 310 patients (194 with LC, 108 with CRC, 8 with both types of cancer) with a median age of 63 (SD =10.66) years. The generalized linear mixed-effects model showed a significant (P<0.05) degree of association for all of the tested attributes. “Strongly increased life expectancy” was the attribute given the greatest weight by all patient groups. Using latent class mixed logit model analysis, we identified three classes of patients. Patients who were better informed tended to prefer a more balanced relationship between length and health-related quality of life (HRQoL) than those who were less informed. Class 2 (LC patients with low HRQoL who had undergone surgery) gave a very strong weighting to increased length of life. We deduced from Class 3 patients that those with a relatively good life expectancy (CRC compared with LC) gave a greater weight to moderate effects on HRQoL than to a longer life. Conclusion: Overall survival was the most important attribute of therapy for patients with LC or CRC. Differences in treatment preferences between subgroups should be considered in regard to treatment and development of guidelines. Patients’ preferences were not affected by sex or age, but were affected by the cancer type, HRQoL, surgery status, and the main source of information on the disease.
AB - Objectives: There is increasing interest in studies that examine patient preferences to measure health-related outcomes. Understanding patients’ preferences can improve the treatment process and is particularly relevant for oncology. In this study, we aimed to identify the subgroup-specific treatment preferences of German patients with lung cancer (LC) or colorectal cancer (CRC). Methods: Six discrete choice experiment (DCE) attributes were established on the basis of a systematic literature review and qualitative interviews. The DCE analyses comprised generalized linear mixed-effects model and latent class mixed logit model. Results: The study cohort comprised 310 patients (194 with LC, 108 with CRC, 8 with both types of cancer) with a median age of 63 (SD =10.66) years. The generalized linear mixed-effects model showed a significant (P<0.05) degree of association for all of the tested attributes. “Strongly increased life expectancy” was the attribute given the greatest weight by all patient groups. Using latent class mixed logit model analysis, we identified three classes of patients. Patients who were better informed tended to prefer a more balanced relationship between length and health-related quality of life (HRQoL) than those who were less informed. Class 2 (LC patients with low HRQoL who had undergone surgery) gave a very strong weighting to increased length of life. We deduced from Class 3 patients that those with a relatively good life expectancy (CRC compared with LC) gave a greater weight to moderate effects on HRQoL than to a longer life. Conclusion: Overall survival was the most important attribute of therapy for patients with LC or CRC. Differences in treatment preferences between subgroups should be considered in regard to treatment and development of guidelines. Patients’ preferences were not affected by sex or age, but were affected by the cancer type, HRQoL, surgery status, and the main source of information on the disease.
KW - Colorectal cancer
KW - Germany
KW - Latent class model
KW - Lung cancer
KW - Multi-criteria decision making
KW - Patient preferences
UR - http://www.scopus.com/inward/record.url?scp=85030627717&partnerID=8YFLogxK
U2 - 10.2147/PPA.S138863
DO - 10.2147/PPA.S138863
M3 - Article
AN - SCOPUS:85030627717
VL - 11
SP - 1647
EP - 1656
JO - Patient preference and adherence
JF - Patient preference and adherence
SN - 1177-889X
ER -