Evidence map›Paper›PMID 32644921›Full record

ArticlePreventing chronic disease2020

Overcoming Challenges Resulting From COVID-19: New York State's Creating Healthy Schools and Communities Initiative.

Tamara Vehige Calise, Amelia Fox, Amanda Ryder, Laura Rios Ruggiero

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 22% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Tamara Vehige CaliseJSI Research & Training Institute, Inc, Healthy Communities, Boston, Massachusetts.
Amelia FoxJSI Research & Training Institute, Inc, Healthy Communities, Boston, Massachusetts.
Amanda RyderJSI Research & Training Institute, Inc, Healthy Communities, Boston, Massachusetts.
Laura Rios RuggieroJSI Research & Training Institute, Inc, Healthy Communities, Boston, Massachusetts.
Rogerson Communities · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"Upstream" interventions that increase access or reduce barriers to healthy foods and opportunities for physical activity - referred to as policy, systems, or environmental strategies - are central to encouraging and supporting healthy behaviors that prevent chronic disease at a population level. However, they are complex and challenging to execute, especially during coronavirus disease 2019 (COVID-19), and efforts to build practitioner capacity are warranted. In this commentary, we describe a user or human-centered design (HCD) capacity-building approach to support practitioners in accomplishing the goals of the New York State Creating Healthy Schools and Communities (CHSC) initiative. This approach has been especially helpful during COVID-19, as it enables support to be responsive to practitioners' constantly changing needs. Given that CHSC is a project specific to New York State and that the efforts of the Obesity Prevention Center for Excellence were tailored to obesity prevention, more research and evaluations should be conducted to better understand how the use of HCD could support practitioners addressing other complex public health issues in the United States.

Indexed as

BetacoronavirusCommunity Health ServicesSchool Health ServicesCoronavirus InfectionsCOVID-19Health BehaviorHealth PersonnelHealth PolicyHumansNew YorkPandemicsPneumonia, ViralSARS-CoV-2

Identifiers

PMID32644921
PMCPMC7367078
OpenAlexW3041564470

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.