Evidence map›Paper›PMID 30964831›Full record

ArticleJournal of hospice and palliative nursing : JHPN : the official journal of the Hospice and Palliative Nurses Association2019

TakingAIM: A Precision Health Framework for Promoting Person-Centered Advance Care Planning.

Suzanne S Sullivan

Abstract read
In one paragraph

Article in Journal of hospice and palliative nursing : JHPN : the official journal of the Hospice and Palliative Nurses Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Suzanne S SullivanSuzanne S. Sullivan, PhD, MBA, RN, CHPN, is assistant professor, School of Nursing, University at Buffalo, New York.

Funding

Using the Home Health OASIS to Promote Advance Care Planning for Community-Dwelling Frail EldersF31NR016394 · NINR · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SULLIVAN, SUZANNE SIERRA · 2016 to 2017
$51k
NINR NIH HHS F31 NR016394
6 · The paper itself

Abstract

Advance care plans (ACP) align care with individual values and goals for the end of life, yet their rates are low. Communication barriers are a primary reason for these low rates. Precision health approaches that target individuals based on personal needs, behaviors, or choices may improve communication and positively influence rates of advance care plans. A framework to guide these efforts is needed. The purpose of this study is to develop a framework that guides clinicians in identifying individuals who will benefit from targeted advance care planning conversations. Walker and Avant's theory derivation strategy integrates concepts of social marketing theory, population segmentation, the marketing mix, and the transtheoretical model of behavior change into a novel framework. The Aligning Individuals with Meaningful End-of-Life Discussions to Promote ACP (TakingAIM) model promotes population segmentation by integrating social marketing theory and the marketing mix into conceptual definitions within the context of ACP: plan (product), perception (price), preference (promotion), and pathway (place). The transtheoretical model of behavior change further guides ACP conversations at the individual level. Identifying at-risk groups and targeting their specific needs may improve the rates of advance care plans. This framework is appropriate for use in any clinical setting and is ready for empirical testing.

Indexed as

Advance Care PlanningHumansPatient-Centered CarePrecision MedicineQuality Improvement

Identifiers

PMID30964831
PMCPMC6778495

What OpenQuestion holds

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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.