Evidence map›Paper›PMID 28905358›Full record

ArticleJournal of the American Geriatrics Society2017

Prognosis Communication in Late-Life Disability: A Mixed Methods Study.

Theresa W Wong, Sean Lang-Brown, Rafael D Romo, Alvin Au-Yeung, Sei J Lee, Patricia J Moran, Jason Karlawish, Rebecca Sudore, Josephine Clayton, Alexander K Smith

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

10 authors.

Theresa W WongUniversity of California San Diego, School of Medicine, San Diego, California.
Sean Lang-BrownDivision of Geriatrics, Department of Medicine, University of California San Francisco, San Francisco, California.
Rafael D RomoSan Francisco Veterans Affairs Medical Center, San Francisco, California.
Alvin Au-YeungDes Moines University, College of Osteopathic Medicine, Des Moines, Iowa.
Sei J LeeDivision of Geriatrics, Department of Medicine, University of California San Francisco, San Francisco, California.
Patricia J MoranOsher Center for Integrative Medicine, Department of Medicine, University of California, San Francisco, California.
Jason KarlawishDepartment of Medicine, Division of Geriatrics, University of Pennsylvania, Philadelphia, Pennsylvania.
Rebecca SudoreDivision of Geriatrics, Department of Medicine, University of California San Francisco, San Francisco, California.ORCID http://orcid.org/0000-0003-4436-2209
Josephine ClaytonCentre for Medical Psychology and Evidence-based Decision-making (CeMPED), The University of Sydney, Sydney, New South Wales, Australia.
Alexander K SmithDivision of Geriatrics, Department of Medicine, University of California San Francisco, San Francisco, California.

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Louise C. Walter · 2013 to 2026
$19.9M
Developing prognostic models for life expectancy and geriatric outcomesR01AG047897 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI LEE, SEI, SMITH, ALEXANDER KELIIMOEANU · 2015 to 2018
$1.7M
Mentoring Researchers in Advance Care Planning for Underrepresented Older Adults at Risk for Alzheimer’s Disease and Related Dementias and Their CaregiversK24AG054415 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI REBECCA L SUDORE · 2017 to 2026
$1.7M
P0045982 Late Life Disability: Epidemiology, Symptoms, Quality of LifeK23AG040772 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SMITH, ALEXANDER KELIIMOEANU · 2012 to 2017
$756k
NIA NIH HHS K23 AG040772NIA NIH HHS K24 AG054415NIA NIH HHS P30 AG044281NIA NIH HHS R01 AG047897
6 · The paper itself

Abstract

importanceLong-term prognosis informs clinical and personal decisions for older adults with late-life disability. However, many clinicians worry that telling patients their prognosis may cause harm.

objectiveTo explore the safety of and reactions to prognosis communication in late-life disability.

designParticipants estimated their own life expectancy and were then presented their calculated life expectancy using a validated prognostic index. We used a semi-structured interview guide to ask for their reactions. Qualitative data were analyzed using constant comparative analysis. Potential psychological and behavioral outcomes in response to receiving one's calculated prognosis were recorded and re-assessed 2-4 weeks later.

settingCommunity-dwelling older adults age 70+ residing in the San Francisco Bay Area.

participantsThirty five older adults with a median age of 80 requiring assistance with ≥1 Activity of Daily Living.

resultsSelf-estimates of life expectancy were similar to calculated results for 16 participants. 15 estimated their life expectancy to be longer than their calculated life expectancy by >2 years, while 4 shorter by >2 years. An overarching theme of, "fitting life expectancy into one's narrative" emerged from qualitative analysis. Discussing life expectancy led participants to express how they could alter their life expectancy (subtheme "locus of control"), how they saw their present health (subtheme "perceived health"), and their hopes and fears for the remaining years of their lives (subtheme "outlook on remaining years"). Feelings of anxiety and sadness in reaction to receiving calculated prognosis were rare. CONCLUSIONS AND RELEVANCE: About half of the disabled older adults' self-estimates of prognosis were similar to calculated estimates. Evidence of sadness or anxiety was rare. These data suggest that in most cases, clinicians may offer to discuss prognosis.

Indexed as

Attitude to HealthHealth BehaviorLife ExpectancyAgedAged, 80 and overCaliforniaFemaleHumansMalePatient PreferencePersons with DisabilitiesPrognosisQualitative ResearchTruth Disclosurecommunicationlate-life disabilitylife expectancyprognosis

Identifiers

PMID28905358
PMCPMC5681411

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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.