Therapy preferences of patients with lung and colon cancer: A discrete choice experiment

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Katharina Schmidt
  • Kathrin Damm
  • Arndt Vogel
  • Heiko Golpon
  • Michael P. Manns
  • Tobias Welte
  • J. Matthias Graf von der Schulenburg

Externe Organisationen

  • Medizinische Hochschule Hannover (MHH)
  • Deutsches Zentrum für Lungenforschung (DZL)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)1647-1656
Seitenumfang10
FachzeitschriftPatient preference and adherence
Jahrgang11
PublikationsstatusVeröffentlicht - 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.

ASJC Scopus Sachgebiete

Ziele für nachhaltige Entwicklung

Zitieren

Therapy preferences of patients with lung and colon cancer: A discrete choice experiment. / Schmidt, Katharina; Damm, Kathrin; Vogel, Arndt et al.
in: Patient preference and adherence, Jahrgang 11, 26.09.2017, S. 1647-1656.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Schmidt, K, Damm, K, Vogel, A, Golpon, H, Manns, MP, Welte, T & Graf von der Schulenburg, JM 2017, 'Therapy preferences of patients with lung and colon cancer: A discrete choice experiment', Patient preference and adherence, Jg. 11, S. 1647-1656. https://doi.org/10.2147/PPA.S138863
Schmidt, K., Damm, K., Vogel, A., Golpon, H., Manns, M. P., Welte, T., & Graf von der Schulenburg, J. M. (2017). Therapy preferences of patients with lung and colon cancer: A discrete choice experiment. Patient preference and adherence, 11, 1647-1656. https://doi.org/10.2147/PPA.S138863
Schmidt K, Damm K, Vogel A, Golpon H, Manns MP, Welte T et al. Therapy preferences of patients with lung and colon cancer: A discrete choice experiment. Patient preference and adherence. 2017 Sep 26;11:1647-1656. doi: 10.2147/PPA.S138863
Schmidt, Katharina ; Damm, Kathrin ; Vogel, Arndt et al. / Therapy preferences of patients with lung and colon cancer : A discrete choice experiment. in: Patient preference and adherence. 2017 ; Jahrgang 11. S. 1647-1656.
Download
@article{03322a9a26b945f59a6b863eed100964,
title = "Therapy preferences of patients with lung and colon cancer: A discrete choice experiment",
abstract = "Objectives: There is increasing interest in studies that examine patient preferences to measure health-related outcomes. Understanding patients{\textquoteright} 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{\textquoteright} 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",
author = "Katharina Schmidt and Kathrin Damm and Arndt Vogel and Heiko Golpon and Manns, {Michael P.} and Tobias Welte and {Graf von der Schulenburg}, {J. Matthias}",
note = "Funding information: This study was supported by the Federal Ministry of Education and Research (grant number 01EH1201A).",
year = "2017",
month = sep,
day = "26",
doi = "10.2147/PPA.S138863",
language = "English",
volume = "11",
pages = "1647--1656",
journal = "Patient preference and adherence",
issn = "1177-889X",
publisher = "Dove Medical Press Ltd.",

}

Download

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 -