ArticleJournal of pain and symptom management2022
What is a Good Death? A Choice Experiment on Care Indicators for Patients at End of Life.
Article in Journal of pain and symptom management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
What it found
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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.
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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.
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Who cites it
14 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Unequal ends: A systematic review comparing place of death in rural, coastal and urban areas for older people with dementia to cancer.Palliative medicine · 2026Pooled it
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- What Is a Good Death in South Asia? A Systematic Review and Narrative Synthesis.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2025Pooled it
- Perceived Importance of Good Death Components Among Patients With Advanced Cancer and Family Caregivers.JAMA network open · 2026Article
- Identifying aspects of palliative and end-of-life care that are most important to people with lived experience and can be measured using routine data: a series of patient and public involvement workshops.Journal of patient-reported outcomes · 2026Article
- First Experiences with Last Aid Courses as Tool for Public Palliative Care Education in Brazil.Nursing reports (Pavia, Italy) · 2025Article
- Navigating preferences for a trouble-free transition: a grounded theory study among older residents in nursing homes.BMC public health · 2025Article
- What Next for the Science of Patient Preference? Interoperability, Standardization, and Transferability.The patient · 2025Review
- Factors influencing healthcare professionals' rating on quality of death and dying: a nationwide cross-sectional study in China.Frontiers in public health · 2025Article
- Community Preferences for the Care of Older People at the End of Life: How Important is the Disease Context?The patient · 2024Article
- Discrete-Choice Experiment to Understand the Preferences of Patients with Hormone-Sensitive Prostate Cancer in the USA, Canada, and the UK.The patient · 2023Article
- Serious illness care quality during COVID-19: Identifying improvement opportunities in narrative reports from a National Bereaved Family Survey.Palliative medicine · 2023Article
- Engaging African American family Caregivers in Developing a Culturally-responsive Interview Guide: A Multiphase Process and Approach.Journal of pain and symptom management · 2022Article
- Treatment Preferences among Patients with Hormone-Sensitive Prostate Cancer in France, Spain, China, South Korea, and Japan: A Discrete-Choice Experiment.MDM policy & practiceArticle
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Authors and funding
4 authors.
Funding
Abstract
contextHealth systems should aim to deliver on what matters most to patients. With respect to end of life (EOL) care, knowledge on patient preferences for care is currently lacking.
objectivesTo quantify preference weights for key EOL care indicators.
methodsWe developed a discrete choice experiment survey with 13 key indicators related to patients' experience in the last six weeks of life. We fielded the survey to a web-panel of caregiver proxies for recently deceased care recipients. We obtained 250 responses in each of five countries: India, Singapore, Kenya, the UK and the US. Latent-class analysis was used to evaluate preference weights for each indicator within and across countries.
resultsA 2-class latent-class model was the best fit. Class 1 (average class probability = 64.7%) preference weights were logically ordered and highly significant, while Class 2 estimates were generally disordered, suggesting poor data quality. Class 1 results indicated health care providers' ability to control patients' pain to desired levels was most important (11.5%, 95% CI: 10.3%-12.6%), followed by clean, safe, and comfortable facilities (10.0%, 95% CI: 9.0%-11.0%); and kind and sympathetic health care providers (9.8%, 95% CI: 8.8%-10.9%). Providers' support for nonmedical concerns had the lowest preference weight (4.4%, 95% CI: 3.6%-5.3%). Differences in preference weights across countries were not statistically significant.
conclusionResults reveal that not all aspects of EOL care are equally valued. Not accounting for these differences would lead to inappropriate conclusions on how best to improve EOL care.
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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.