Evidence map›Paper›PMID 28351883›Full record

ArticleGlobal health, science and practice2017

American Mock World Health Organization: An Innovative Model for Student Engagement in Global Health Policy.

Mia Lei, Neha Acharya, Edith Kwok Man Lee, Emma Catherine Holcomb, Veronica Kapoor

Abstract readConference Proceedings
In one paragraph

Article in Global health, science and practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mia LeiUniversity of North Carolina, Chapel Hill, NC, USA. mia.virginia.lei@gmail.com.
Neha AcharyaRollins School of Public Health, Emory University, Atlanta, GA, USA.
Edith Kwok Man LeeUniversity of North Carolina, Chapel Hill, NC, USA.
Emma Catherine HolcombUniversity of North Carolina, Chapel Hill, NC, USA.
Veronica KapoorFielding School of Public Health, The University of California, Los Angeles, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The American Mock World Health Organization (AMWHO) is a model for experiential-based learning and student engagement in global health diplomacy. AMWHO was established in 2014 at the University of North Carolina at Chapel Hill with a mission to engage students in health policy by providing a simulation of the World Health Assembly (WHA), the policy-forming body of the World Health Organization that sets norms and transforms the global health agenda. AMWHO conferences are designed to allow students to take their knowledge of global health beyond the classroom and practice their skills in diplomacy by assuming the role of WHA delegates throughout a 3-day weekend. Through the process of developing resolutions like those formed in the WHA, students have the unique opportunity to understand the complexities behind the conflict and compromise that ensues through the lens of a stakeholder. This article describes the structure of the first 2 AMWHO international conferences, analyzes survey results from attendees, and discusses the expansion of the organization into a multi-campus national network. The AMWHO 2014 and 2015 post-conference survey results found that 98% and 90% of participants considered the conference "good" or "better," respectively, and survey responses showed that participants considered the conference "influential" in their careers and indicated that it "allowed a paradigm shift not possible in class."

Indexed as

Global HealthHealth PolicyStudents, MedicalWorld Health OrganizationHumansModels, TheoreticalUnited States

Identifiers

PMID28351883
PMCPMC5478225

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.