Evidence map›Paper›PMID 38079024›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024

QALY-type preference and willingness-to-pay among end-of-life patients with cancer treatments: a pilot study using discrete choice experiment.

Yue Yin, Qian Peng, Longhao Ma, Yi Dong, Yinan Sun, Silu Xu, Nianyang Ding, Xiaolin Liu, Mingye Zhao, Yaqian Tang and 4 more

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Yue Yin *School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 211198, China.
Qian Peng *School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 211198, China.
Longhao MaSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 211198, China.
Yi DongSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 211198, China.
Yinan SunSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 211198, China.
Silu XuDepartment of Pharmacy, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Nianyang DingDepartment of Pharmacy, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Xiaolin LiuDepartment of Pharmacy, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Mingye ZhaoSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 211198, China.
Yaqian TangSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 211198, China.
Zhiqing MeiSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 211198, China.
Hanqiao ShaoSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 211198, China.
Dan YanDepartment of Pharmacy, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China. sharon@njmu.edu.cn.
Wenxi TangSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 211198, China. tokammy@cpu.edu.cn.

Funding

General Program of National Natural Science Foundation of China 72174207Postgraduate Research & Practice Innovation Program of Jiangsu Province SJCX23_0232
6 · The paper itself

Abstract

purposeQuality-adjusted life-year (QALY) is a dominant measurement of health gain in economic evaluations for pricing drugs. However, end-of-life (EoL) patients' preference for QALY gains in life expectancy (LE) and quality of life (QoL) during different disease stages remains unknown and is seldom involved in decision-making. This study aims to measure preferences and willingness-to-pay (WTP) towards different types of QALY gain among EoL cancer patients.

methodsWe attributed QALY gain to four types, gain in LE and QoL, respectively, and during both progression-free survival (PFS) and post-progression survival (PPS). A discrete choice experiment including five attributes (the four QALY attributes and one cost attribute) with three levels each was developed and conducted with 85 Chinese advanced non-small cell lung cancer patients in 2022. All levels were set with QALY gain/cost synthesised from research on anti-lung cancer drugs recently listed by Chinese National Healthcare Security Administration. Each respondent answered six choice tasks in a face-to-face interview. The data were analysed using mixed logit models.

resultsPatients valued LE-related QALY gain in PFS most, with a relative importance of 81.8% and a WTP of $43,160 [95% CI 26,751 ~ 59,569] per QALY gain. Respondents consistently preferred LE-related to QoL-related QALY gain regardless of disease stage. Patients with higher income or lower education levels tended to pay more for QoL-related QALY gain.

conclusionOur findings suggest a prioritised resource allocation to EoL-prolonging health technologies. Given the small sample size and large individual heterogeneity, a full-scale study is needed to provide more robust results.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsChoice BehaviorDeathHumansPatient PreferencePilot ProjectsQuality-Adjusted Life YearsQuality of LifeSurveys and QuestionnairesDiscrete choice experimentEnd of lifePatient preferenceQALYWillingness-to-pay

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.