Evidence map›Paper›PMID 25647829›Full record

ArticleANS. Advances in nursing science

Adaptive leadership framework for chronic illness: framing a research agenda for transforming care delivery.

Ruth A Anderson, Donald E Bailey, Bei Wu, Kirsten Corazzini, Eleanor S McConnell, N Marcus Thygeson, Sharron L Docherty

Abstract read
In one paragraph

Article in ANS. Advances in nursing science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Trial
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  14. Person-Directed Care Planning in Nursing Homes: Resident, Family, and Staff Perspectives.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2019
    Article
  15. Person-directed care planning in nursing homes: A scoping review.International journal of older people nursing · 2018
    Article
  16. Complex Leadership in Healthcare: A Scoping Review.International journal of health policy and management · 2018
    Article
  17. Article
  18. Review
  19. Article
  20. 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

7 authors.

Ruth A AndersonDuke University School of Nursing, Durham, North Carolina (Drs Anderson, Bailey, Wu, Corazzini, McConnell, and Docherty); Geriatric Research, Education and Clinical Center (GRECC), Durham Veterans Affairs Medical Center, North Carolina (Dr McConnell); and Blue Shield of California, San Francisco (Dr Thygeson).
Donald E Bailey
Bei Wu
Kirsten Corazzini
Eleanor S McConnell
N Marcus Thygeson
Sharron L Docherty

Funding

Scholarship and Mentoring CoreP30NR014139 · NINR · DUKE UNIVERSITY · PI WU, BEI · 2012 to 2016
$2.3M
NINR NIH HHS /P30 NR014139NINR NIH HHS P30 NR014139
6 · The paper itself

Abstract

We propose the Adaptive Leadership Framework for Chronic Illness as a novel framework for conceptualizing, studying, and providing care. This framework is an application of the Adaptive Leadership Framework developed by Heifetz and colleagues for business. Our framework views health care as a complex adaptive system and addresses the intersection at which people with chronic illness interface with the care system. We shift focus from symptoms to symptoms and the challenges they pose for patients/families. We describe how providers and patients/families might collaborate to create shared meaning of symptoms and challenges to coproduce appropriate approaches to care.

Indexed as

Nurse's RoleChronic DiseaseClinical CompetenceDisease ManagementHumansLeadershipNursing CarePatient-Centered CareProfessional-Family RelationsQuality Assurance, Health Care

Identifiers

PMID25647829
PMCPMC4417005

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.