Literature DB >> 31321706

Patient Preferences for Breast Cancer Treatment Interventions: A Systematic Review of Discrete Choice Experiments.

Renata Leborato Guerra1, Luciana Castaneda2, Rita de Cássia Ribeiro de Albuquerque2, Camila Belo Tavares Ferreira3, Flávia de Miranda Corrêa2, Ricardo Ribeiro Alves Fernandes2, Liz Maria de Almeida4.   

Abstract

INTRODUCTION: Understanding how patients value different characteristics of an intervention and make trade-offs in a therapy choice context with potential benefit and possible harm may result in decisions for which a better reflected value is delivered. This systematic review summarizes patient preferences for breast cancer treatments elicited by discrete choice experiments (DCE).
METHODOLOGY: The electronic databases MEDLINE (PubMed), Scopus, PsycINFO, CINAHL, LILACS, and Web of Science were last searched on May 9, 2019 without restrictions regarding language and time of publication. Original studies reporting patient preferences related to breast cancer treatment (surgery, radiotherapy, endocrine therapy, chemotherapy or palliative care) elicited by DCE were eligible. A narrative synthesis of the relative importance and trade-offs of the treatment attributes of each study was reported.
RESULTS: Five studies conducted in Japan, Thailand, USA and the Netherlands with 146-298 participants evaluated preferences regarding chemotherapy regimens for advanced/metastatic disease, and breast reconstruction after mastectomy. The attributes with major relative effects on preferences were greater survival, better aesthetic result of the surgery, and lower side effects and complication rates. Patients would trade a better aesthetic result to minimize complication rates, and, in advanced disease, the willingness to pay was greater for gains in survival and to avoid some severe adverse events.
CONCLUSION: Despite the relative lack of evidence in this specific context, our review shows that breast cancer patients naturally value greater benefit and, in scenarios of advanced and metastatic disease, are willing to face risks of some side effects for gains in survival.

Entities:  

Year:  2019        PMID: 31321706     DOI: 10.1007/s40271-019-00375-w

Source DB:  PubMed          Journal:  Patient        ISSN: 1178-1653            Impact factor:   3.883


  28 in total

1.  Discerning the clinical relevance of biomarkers in early stage breast cancer.

Authors:  Tarah J Ballinger; Nawal Kassem; Fei Shen; Guanglong Jiang; Mary Lou Smith; Elda Railey; John Howell; Carol B White; Bryan P Schneider
Journal:  Breast Cancer Res Treat       Date:  2017-04-11       Impact factor: 4.872

2.  QALYs: some challenges.

Authors:  Erik Nord; Norman Daniels; Mark Kamlet
Journal:  Value Health       Date:  2009-03       Impact factor: 5.725

3.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  Ann Intern Med       Date:  2009-07-20       Impact factor: 25.391

4.  Conjoint analysis applications in health--a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force.

Authors:  John F P Bridges; A Brett Hauber; Deborah Marshall; Andrew Lloyd; Lisa A Prosser; Dean A Regier; F Reed Johnson; Josephine Mauskopf
Journal:  Value Health       Date:  2011-04-22       Impact factor: 5.725

5.  Trade-off preferences regarding adjuvant endocrine therapy among women with estrogen receptor-positive breast cancer.

Authors:  H Wouters; G A Maatman; L Van Dijk; M L Bouvy; R Vree; E C G Van Geffen; J W Nortier; A M Stiggelbout
Journal:  Ann Oncol       Date:  2013-05-23       Impact factor: 32.976

6.  Use of conjoint analysis to assess breast cancer patient preferences for chemotherapy side effects.

Authors:  Kathleen Beusterien; Jessica Grinspan; Iryna Kuchuk; Sasha Mazzarello; Susan Dent; Stan Gertler; Nathaniel Bouganim; Lisa Vandermeer; Mark Clemons
Journal:  Oncologist       Date:  2014-01-28

7.  Patient preferences for chemotherapies used in breast cancer.

Authors:  Kathleen Beusterien; Jessica Grinspan; Thomas Tencer; Adam Brufsky; Constance Visovsky
Journal:  Int J Womens Health       Date:  2012-06-28

8.  Patient Preferences Regarding Chemotherapy in Metastatic Breast Cancer-A Conjoint Analysis for Common Taxanes.

Authors:  Saskia Spaich; Johanna Kinder; Svetlana Hetjens; Stefan Fuxius; Axel Gerhardt; Marc Sütterlin
Journal:  Front Oncol       Date:  2018-11-21       Impact factor: 6.244

9.  Discrete Choice Experiments in Health Economics: Past, Present and Future.

Authors:  Vikas Soekhai; Esther W de Bekker-Grob; Alan R Ellis; Caroline M Vass
Journal:  Pharmacoeconomics       Date:  2019-02       Impact factor: 4.981

10.  Patients' preferences and willingness-to-pay for postmenopausal hormone receptor-positive, HER2-negative advanced breast cancer treatments after failure of standard treatments.

Authors:  Surachat Ngorsuraches; Klangjai Thongkeaw
Journal:  Springerplus       Date:  2015-11-05
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  8 in total

1.  Feasibility of Measuring Preferences for Chemotherapy Among Early-Stage Breast Cancer Survivors Using a Direct Rank Ordering Multicriteria Decision Analysis Versus a Time Trade-Off.

Authors:  Laura Panattoni; Charles E Phelps; Tracy A Lieu; Stacey Alexeeff; Suzanne O'Neill; Jeanne S Mandelblatt; Scott D Ramsey
Journal:  Patient       Date:  2020-10       Impact factor: 3.883

Review 2.  Methods to Summarize Discrete-Choice Experiments in a Systematic Review: A Scoping Review.

Authors:  Daksh Choudhary; Megan Thomas; Kevin Pacheco-Barrios; Yuan Zhang; Pablo Alonso-Coello; Holger Schünemann; Glen Hazlewood
Journal:  Patient       Date:  2022-07-13       Impact factor: 3.481

3.  Willingness-to-pay for cancer treatment and outcome: a systematic review.

Authors:  Alene Sze Jing Yong; Yi Heng Lim; Mark Wing Loong Cheong; Ednin Hamzah; Siew Li Teoh
Journal:  Eur J Health Econ       Date:  2021-12-02

4.  Patient, Oncologist, and Payer Preferences for Adjuvant Endocrine Therapy and CDK4/6 Inhibitor Regimens in Early-Stage Breast Cancer: A Discrete Choice Experiment.

Authors:  Kathleen Beusterien; Martine C Maculaitis; Bernadette Hallissey; Michael M Gaschler; Mary Lou Smith; Ernest H Law
Journal:  Patient Prefer Adherence       Date:  2021-03-18       Impact factor: 2.711

5.  A Systematic Review of Discrete Choice Experiments in Oncology Treatments.

Authors:  Hannah Collacott; Vikas Soekhai; Caitlin Thomas; Anne Brooks; Ella Brookes; Rachel Lo; Sarah Mulnick; Sebastian Heidenreich
Journal:  Patient       Date:  2021-05-05       Impact factor: 3.883

Review 6.  Patient Preferences for Treatment Outcomes in Oncology with a Focus on the Older Patient-A Systematic Review.

Authors:  Petronella A L Nelleke Seghers; Anke Wiersma; Suzanne Festen; Mariken E Stegmann; Pierre Soubeyran; Siri Rostoft; Shane O'Hanlon; Johanneke E A Portielje; Marije E Hamaker
Journal:  Cancers (Basel)       Date:  2022-02-23       Impact factor: 6.639

Review 7.  Preferences of oral nutritional supplement therapy among postoperative patients with gastric cancer: Attributes development for a discrete choice experiment.

Authors:  Qiuchen Wang; Yahong Chen; Yi Peng; Hua Yuan; Zhiming Chen; Jia Wang; Hui Xue; Xiuying Zhang
Journal:  PLoS One       Date:  2022-09-29       Impact factor: 3.752

8.  Long Non-Coding RNA HULC Promotes the Development of Breast Cancer Through Regulating LYPD1 Expression by Sponging miR-6754-5p.

Authors:  Nan Wang; Chaochao Zhong; Mingti Fu; Lin Li; Fang Wang; Pengwei Lv; Mingzhi Zhu; Youyi Xiong; Hailong Mi; Yuanting Gu
Journal:  Onco Targets Ther       Date:  2019-12-05       Impact factor: 4.147

  8 in total

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