ArticleJournal of the American Geriatrics Society2016
End-of-Life Discussions with Older Adults.
Article in Journal of the American Geriatrics Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Implementing an Advance Care Planning Intervention in Community Settings with Older Latinos: A Feasibility Study.Journal of palliative medicine · 2017Trial
- Tree of peaches: exploring what matters most at the end-of-life among healthy older adults in Taiwan: a qualitative study.BMC palliative care · 2026Article
- End-of-life discussions, preference concordance, and good death: insights from a nationwide mortality follow-back survey.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Observational
- [After the COVID crisis, what solutions for the future nursing home?]Bulletin de l'Academie nationale de medecine · 2022Article
- Factors Associated with Advance Directives Documentation: A Nationwide Cross-Sectional Survey of Older Adults in Korea.International journal of environmental research and public health · 2022Article
- Machine Learning-Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical Appraisal.JMIR medical informatics · 2022Review
- Mapping the Landscape of Advance Care Planning in Adolescents and Young Adults Receiving Allogeneic Hematopoietic Stem Cell Transplantation: A 5-Year Retrospective Review.Transplantation and cellular therapy · 2022Article
- Determining Goals of Care During the COVID-19 Pandemic: A Virtual Course for Emergency Medicine Residents.Cureus · 2021Article
- Concordance of End-of-Life Care With End-of-Life Wishes in an Integrated Health Care System.JAMA network open · 2021Article
- Advance Care Planning Engagement and End-of-life Preference Among Older Chinese Americans: Do Family Relationships and Immigrant Status Matter?Journal of the American Medical Directors Association · 2021Article
- Exploring the Uptake of Advance Care Planning in Older Adults: An Integrative Review.Journal of pain and symptom management · 2020Review
- Advance Care Planning: Social Isolation Matters.Journal of the American Geriatrics Society · 2020Article
- Painting a Rational Picture During Highly Emotional End-of-Life Discussions: a Qualitative Study of Internal Medicine Trainees and Faculty.Journal of general internal medicine · 2020Article
- Experience of oncology residents with death: a qualitative study in Mexico.BMC medical ethics · 2019Article
- Advance Care Planning Claims and Health Care Utilization Among Seriously Ill Patients Near the End of Life.JAMA network open · 2019Article
- Differences by Race, Religiosity, and Mental Health in Preferences for Life-Prolonging Treatment Among Medicare Beneficiaries.Journal of general internal medicine · 2019Article
- Cohort Profile: The National Health and Aging Trends Study (NHATS).International journal of epidemiology · 2019Article
- Preparing Older Patients With Serious Illness for Advance Care Planning Discussions in Primary Care.Journal of pain and symptom management · 2019Article
- National trends in palliative care use among older adults with cardiopulmonary and malignant conditions.Heart & lung : the journal of critical careArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
objectivesTo determine the prevalence of end-of-life (EOL) conversations with older adults.
designNational Health and Aging Trends Study (NHATS), a prospective, longitudinal survey of Medicare beneficiaries.
settingNationally representative.
participantsA sample drawn from Wave 2 of the NHATS. MEASUREMENTS: The main outcome was the report of an EOL planning discussion, based upon the participant's response to the question "Have you talked to anyone about the types of medical treatment you would want or not want if you became seriously ill in the future?"
resultsSixty-one percent of the sample (n = 1,993 individuals, weighted n = 11,123,910) responded that they had discussed EOL treatment preferences with someone. In multivariate regression, factors associated with reporting an EOL discussion included being younger (adjusted odds ratio (AOR) = 1.70, 95% confidence interval (CI) = 1.17-2.47), having more education (high school degree: AOR = 1.45, 95% CI = 1.02-2.07; some college: AOR = 2.03, 95% CI = 1.40-2.95), and having multiple chronic conditions (AOR = 1.25, 95% CI = 1.01-1.55). Black race was associated with lower odds of reporting a discussion (AOR = 0.46, 95% CI = 0.33-0.65).
conclusionForty percent of a nationally representative sample of Medicare beneficiaries had not discussed their preferences regarding EOL medical treatment. Promoting these conversations in clinical and nonclinical settings will be important to ensure that health care is delivered to individuals in a person-centered manner.
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What OpenQuestion holds
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.