Evidence map›Paper›PMID 30420368›Full record

ArticleAnnals of family medicine2018

Older Adults' Preferences for Discussing Long-Term Life Expectancy: Results From a National Survey.

Nancy L Schoenborn, Ellen M Janssen, Cynthia Boyd, John F P Bridges, Antonio C Wolff, Qian-Li Xue, Craig E Pollack

Abstract read
In one paragraph

Article in Annals of family medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Association between prognostic awareness and quality of life in patients with advanced cancer.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
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  19. Factors Affecting the Initial Engagement of Older Adults in the Use of Interactive Technology.International journal of environmental research and public health · 2021
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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

7 authors.

Nancy L SchoenbornThe Johns Hopkins University School of Medicine, Baltimore, Maryland nancyli@jhmi.edu.
Ellen M JanssenThe Johns Hopkins University School of Public Health, Baltimore, Maryland.
Cynthia BoydThe Johns Hopkins University School of Medicine, Baltimore, Maryland.
John F P BridgesThe Johns Hopkins University School of Public Health, Baltimore, Maryland.
Antonio C WolffThe Johns Hopkins University School of Medicine, Baltimore, Maryland.
Qian-Li XueThe Johns Hopkins University School of Medicine, Baltimore, Maryland.
Craig E PollackThe Johns Hopkins University School of Medicine, Baltimore, Maryland.

Funding

Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
Institute for Clinical and Translational ResearchKL2TR001077 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$9.2M
Patient-Centered Care for Older Adults with Multiple Chronic Conditions: Research and Mentoring ProgramK24AG056578 · NIA · JOHNS HOPKINS UNIVERSITY · PI BOYD, CYNTHIA MELINDA · 2017 to 2021
$1.1M
Understanding Older Adults' Perspectives on How to Incorporate Life Expectancy in Cancer ScreeningR03AG050912 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHOENBORN, NANCY · 2015 to 2016
$243k
NCATS NIH HHS KL2 TR001077NIA NIH HHS K24 AG056578NIA NIH HHS P30 AG021334NIA NIH HHS R03 AG050912
6 · The paper itself

Abstract

purposeClinical practice guidelines recommend incorporating long-term life expectancy to inform a number of decisions in primary care. We aimed to examine older adults' preferences for discussing life expectancy in a national sample.

methodsWe invited 1,272 older adults (aged 65 or older) from a national, probability-based online panel to participate in 2016. We presented a hypothetical patient with limited life expectancy who was not imminently dying. We asked participants if they were that patient, whether they would like to talk with the doctor about how long they may live, whether it was acceptable for the doctor to offer this discussion, whether they want the doctor to discuss life expectancy with family or friends, and when it should be discussed.

resultsThe 878 participants (69.0% participation rate) had a mean age of 73.4 years. The majority, 59.4%, did not want to discuss how long they might live in the presented scenario. Within this group, 59.9% also did not think that the doctor should offer the discussion, and 87.7% also did not want the doctor to discuss life expectancy with family or friends. Fully 55.8% wanted to discuss life expectancy only if it were less than 2 years. Factors positively associated with wanting to have the discussion included higher educational level, believing that doctors can accurately predict life expectancy, and past experience with either a life-threatening illness or having discussed life expectancy of a loved one. Reporting that religion is important was negatively associated.

conclusionsThe majority of older adults did not wish to discuss life expectancy when we depicted a hypothetical patient with limited life expectancy. Many also did not want to be offered discussion, raising a dilemma for how clinicians may identify patients' preferences regarding this sensitive topic.

Indexed as

CommunicationLife ExpectancyAgedAged, 80 and overAttitude to DeathDecision MakingFemaleHumansLong-Term CareMalePatient PreferencePrimary Health CareQualitative ResearchSurveys and Questionnairescommunicationdecision makinglife expectancyolder adultspatient preferencepersonalized medicinepractice-based researchprimary carevulnerable populations

Identifiers

PMID30420368
PMCPMC6231926

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.