Evidence map›Paper›PMID 32308823›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2019

Engaging heart failure patients from a clinical data research network: A survey on willingness to participate in different types of research.

Yong K Choi, Javier E López, Daniella Meeker, Lucila Ohno-Machado, Katherine K Kim, pSCANNER Team

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 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

6 authors.

Yong K ChoiUniversity of California Davis, Sacramento, CA.
Javier E LópezUniversity of California Davis, Sacramento, CA.
Daniella MeekerUniversity of Southern California, Los Angeles, CA.
Lucila Ohno-MachadoUniversity of California San Diego, La Jolla, CA.
Katherine K KimUniversity of California Davis, Sacramento, CA.
pSCANNER Team

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
NCATS NIH HHS UL1 TR000002NCATS NIH HHS UL1 TR001860
6 · The paper itself

Abstract

The willing participation of patients in clinical research is a critical element in national efforts to collect health data for precision medicine and large cohort studies. However, recruiting patients is challenging. Clinical data research networks (CDRN) have primarily been used for observational studies, but may be able to enhance recruitment efforts. We need a better understanding of patient motivation and preferences for research participation and their interest in different types of research activities, particularly among those who are already represented in CDRNs. We surveyed a heart failure patient cohort constructed from EHRs in a CDRN to assess research participation. Results showed that CDRN recruitment is feasible. Respondents were most interested in completing a one-time survey and giving a blood sample one time. They were least interested in a study about weight control that require surgery. We found statistically significant associations between race and research activity interests.

Indexed as

Attitude to HealthBiomedical ResearchHeart FailurePatient SelectionAdolescentAdultAgedAged, 80 and overClinical Trials as TopicCohort StudiesFemaleHumansMaleMiddle AgedPatient ParticipationPatient Preference

Identifiers

PMID32308823
PMCPMC7153117

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.