Evidence map›Paper›PMID 26213616›Full record

ArticleF1000Research2015

Relationships between activation level, knowledge, self-efficacy, and self-management behavior in heart failure patients discharged from rural hospitals.

Van Do, Lufei Young, Sue Barnason, Hoang Tran

Abstract read
In one paragraph

Article in F1000Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

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  13. Determinants of patient activation and its association with cardiovascular disease risk in chronic kidney disease: A cross-sectional study.Health expectations : an international journal of public participation in health care and health policy · 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

4 authors.

Van DoDepartment of Health Services Research and Administration, College of Public Health, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Lufei YoungCollege of Nursing-Lincoln Division, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Sue BarnasonCollege of Nursing-Lincoln Division, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Hoang TranDepartment of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE, 68198, USA.

Funding

Promoting Self-management Through Adherence among Heart Failure PatientsR15NR013769 · NINR · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI YOUNG, LUFEI · 2013 to 2013
$301k
NINR NIH HHS R15 NR013769
6 · The paper itself

Abstract

Non-adherence to self-management guidelines accounted for 50% of hospital readmissions in heart failure patients. Evidence showed that patient activation affects self-management behaviors in populations living with chronic conditions. The purpose of this study was to describe patient activation level and its relationship with knowledge, self-efficacy and self-management behaviors in heart failure patients discharged from rural hospitals. Our study populations were recruited from two hospitals in rural areas of Nebraska. We found that two-thirds of the participants reported low activation levels (e.g., taking no action to manage their heart failure condition). In addition, low patient activation levels were associated with inadequate heart failure knowledge (p=.005), low self-efficacy (p<.001) and low engagement in heart failure self-management behaviors (p<.001) after discharge from hospital.

Indexed as

Cardiac FailureKnowledgePatient ActivationPatient EngagementRural PopulationsSelf-EfficacySelf-Management

Identifiers

PMID26213616
PMCPMC4505779

What OpenQuestion holds

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Registered trials

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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.