Evidence map›Paper›PMID 28758173›Full record

ReviewCurrent diabetes reports2017

Academic and Government Partnerships to Address Diabetes in the USA: a Narrative Review.

Stella S Yi, Shadi Chamany, Lorna Thorpe

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2017. 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

3 authors.

Stella S YiDepartment of Population Health, NYU School of Medicine, 550 First Ave VZN Suite 844, 8th floor, New York, NY, 10016, USA. stella.yi@nyumc.org.
Shadi ChamanyNew York City Department of Health and Mental Hygiene, Division of Primary Care and Prevention, New York, NY, USA.
Lorna ThorpeDepartment of Population Health, NYU School of Medicine, 550 First Ave VZN Suite 844, 8th floor, New York, NY, 10016, USA.

Funding

Scaling Community-Clinical Linkage Models to Address Diabetes and Hypertension Disparities in the Southeastern U.S.U54MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH-SHEVRIN, CHAU · 2017 to 2022
$11.3M
NIMHD NIH HHS U54 MD000538
6 · The paper itself

Abstract

purpose of reviewMulti-sector partnerships are broadly considered to be of value for diabetes prevention and management. The purpose of this article is to summarize academic and government collaborations focused on diabetes prevention and management. RECENT

findingsUsing a narrative review approach, we identified 17 articles describing 10 academic and government partnerships for diabetes management and surveillance. Challenges and gaps in the literature include complexity of diabetes management vis a vis current healthcare infrastructure; a paucity of racial/ethnic diversity in translational efforts; and the time/effort needed to maintain strong relationships across partner institutions. Academic and government partnerships are of value for diabetes prevention and management activities. Acknowledgment that the key priorities of government programming are often costs and feasibility is critical for collaborations to be successful. Future translational efforts of diabetes prevention and management programs should focus on the following: (1) expansion of partnerships between academia and local health departments; (2) increased utilization of implementation science for enhanced and efficient implementation and dissemination; and (3) harnessing of technological advances for data analysis, patient communication, and report generation.

Indexed as

Academies and InstitutesCooperative BehaviorGovernmentDelivery of Health CareDiabetes MellitusHumansPopulation SurveillanceDiabetesDiabetes prevention programGovernmentMulti-sectorPartnerships

Identifiers

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.