ArticleJAMA network open2021
Concordance of End-of-Life Care With End-of-Life Wishes in an Integrated Health Care System.
Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04921631 (Randomized Trial of Specialty Palliative Care Integrated With Critical Care for Critically Ill Older Adults), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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.
Randomized Trial of Specialty Palliative Care Integrated With Critical Care for Critically Ill Older Adults
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Description of patient reported experience measures (PREMs) for hospitalised patients with palliative care needs and their families, and how these map to noted areas of importance for quality care: A systematic review.Palliative medicine · 2023Pooled it
- The Value of Advance Care Planning for Spokespersons of Patients With Advanced Illness.Journal of pain and symptom management · 2023Trial
- An Intervention in Congruence for End-of-Life Treatment Preference: A Randomized Trial.Pediatrics · 2022Trial
- Observational
- Patients' attitudes towards advance care planning (ACP) and factors affecting ACP discussion: A cross-sectional questionnaire study.PloS one · 2026Article
- Patient-Centered Measures of Goal Concordance in Geriatrics and Palliative Care: A Scoping Review.JAMA network open · 2025Article
- End-of-life issues in older adults: Emotional and social factors that shape end-of-life experiences.Advances in psychiatry and behavioral health · 2025Article
- Machine Learning for Targeted Advance Care Planning in Cancer Patients: A Quality Improvement Study.Journal of pain and symptom management · 2024Article
- Determining Goal Concordant Care in the Intensive Care Unit Using Electronic Health Records.Journal of pain and symptom management · 2023Article
- Life-Sustaining Treatments Among Medicare Beneficiaries with and without Dementia at the End of Life.Journal of Alzheimer's disease : JAD · 2023Article
- Article
- The cultural adaptation of the go wish card game for use in Flanders, Belgium: a public health tool to identify and discuss end-of-life preferences.BMC public health · 2022Article
- How Should Cost-Informed Goals of Care Decisions Be Facilitated at Life's End?AMA journal of ethics · 2022Article
- ProPACC: Protocol for a Trial of Integrated Specialty Palliative Care for Critically Ill Older Adults.Journal of pain and symptom management · 2022Article
- Knowledge of end-of-life wishes by physicians and family caregivers in cancer patients.BMC palliative care · 2021Article
Corrections and comments
- Commented on by
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: There is widespread consensus on the challenges to meeting the end-of-life wishes of decedents in the US. However, there is broad but not always recognized success in meeting wishes among decedents 65 years and older. Objective: To assess how well end-of-life wishes of decedents 65 years and older are met in the last year of life. Design, Setting, and Participants: This quality improvement study involved 3 planned samples of family members or informants identified as the primary contact in the medical record of Kaiser Permanente Southern California decedents. The first sample was 715 decedents, 65 years or older, who died between April 1 and May 31, 2017. The second was a high-cost sample of 332 decedents, 65 years or older, who died between June 1, 2016, and May 31, 2017, and whose costs in the last year of life were in the top 10% of the costs of all decedents. The third was a lower-cost sample with 655 decedents whose costs were not in the top 10%. The survey was fielded between December 19, 2017, and February 8, 2018. Main Outcomes and Measures: Meeting end-of-life wishes, discussions with next of kin and physicians, types of discordant care, and perceptions of amount of care received. Results: Surveys were completed by 715 of the 2281 next of kin in the all-decedent sample (mean [SD] decedent age, 80.9 [8.9] years; 361 [50.5%] male) for a 31% response rate; in 332 of the 1339 next of kin in the high-cost sample (mean [SD] decedent age, 75.5 [7.1] years; 194 [48.4%] male) for a 25% response rate; and in 659 of 2058 in the lower-cost sample (mean [SD] decedent age, 81.6 [8.8] years) for a 32% response rate. Respondents noted that high percentages of decedents received treatment that was concordant with their desires: 601 (88.9%) had their wishes met, 39 (5.9%) received a treatment they did not want, and 554 (84.1%) filled out an advance directive. A total of 509 respondents (82.5%) believed the amount of care was the right amount. Those with the highest costs had their wishes met at lower rates than those with lower costs (250 [80.1%] vs 553 [89.6%]). Conclusions and Relevance: In this Kaiser Permanente Southern California cohort, a large proportion of decedents 65 years and older had end-of-life discussions and documentation, had their wishes met, and received the amount of care they thought appropriate.
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Registered trials
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.