Evidence map›Paper›PMID 30050895›Full record

ReviewFrontiers in public health2018

Unpacking Partnership, Engagement, and Collaboration Research to Inform Implementation Strategies Development: Theoretical Frameworks and Emerging Methodologies.

Keng-Yen Huang, Simona C Kwon, Sabrina Cheng, Dimitra Kamboukos, Donna Shelley, Laurie M Brotman, Sue A Kaplan, Ogedegbe Olugbenga, Kimberly Hoagwood

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  13. A Qualitative Study of National Perspectives on Advancing Social Prescribing Using Co-Design in Canada.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  14. Review
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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

9 authors.

Keng-Yen HuangDepartment of Population Health, New York University School of Medicine, New York, NY, United States.
Simona C KwonDepartment of Population Health, New York University School of Medicine, New York, NY, United States.
Sabrina ChengDepartment of Population Health, New York University School of Medicine, New York, NY, United States.
Dimitra KamboukosDepartment of Population Health, New York University School of Medicine, New York, NY, United States.
Donna ShelleyDepartment of Population Health, New York University School of Medicine, New York, NY, United States.
Laurie M BrotmanDepartment of Population Health, New York University School of Medicine, New York, NY, United States.
Sue A KaplanDepartment of Population Health, New York University School of Medicine, New York, NY, United States.
Ogedegbe OlugbengaDepartment of Population Health, New York University School of Medicine, New York, NY, United States.
Kimberly HoagwoodChild and Adolescent Psychiatry, New York University School of Medicine, New York, NY, United States.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Scaling up a family strengthening EBP to reduce child disruptive behavior problems in SSAU19MH110001 · NIMH · WASHINGTON UNIVERSITY · PI HOAGWOOD, KIMBERLY E., MCKAY, MARY MCKERNAN · 2016 to 2020
$3.9M
NCATS NIH HHS UL1 TR001445NIMH NIH HHS U19 MH110001
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

collaborationcommunity engagementengagementimplementation strategiespartnershippatient-centeredpatient engagementteam science

Identifiers

PMID30050895
PMCPMC6050404

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.