Evidence map›Paper›PMID 34136762›Full record

ArticleJournal of STEM outreach2018

Game-Based Health Education: The Case of Hexacago Health Academy.

Megan Macklin, Patrick Jagoda, Ian B Jones, Melissa Gilliam

Abstract read
In one paragraph

Article in Journal of STEM outreach, 2018. 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
–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

0 citing papers in PubMed.

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.

Megan MacklinUC Davis, Davis, California.
Patrick JagodaUniversity of Chicago, Chicago, Illinois.
Ian B JonesUniversity of Chicago, Chicago, Illinois.
Melissa GilliamUniversity of Chicago, Chicago, Illinois.

Funding

Hexacago: A game-based approach to engaging youth in health and scienceR25OD020243 · OD · UNIVERSITY OF CHICAGO · PI GILLIAM, MELISSA L., JAGODA, PATRICK · 2015 to 2017
$699k
Hexacago: A game-based approach to engaging youth in health and scienceR25GM129176 · NIGMS · UNIVERSITY OF CHICAGO · PI GILLIAM, MELISSA L., JAGODA, PATRICK · 2018 to 2019
$445k
NIGMS NIH HHS R25 GM129176NIH HHS R25 OD020243
6 · The paper itself

Abstract

It is a well-documented fact that women and minorities are currently underrepresented in STEM higher education degree programs and careers. As an outreach measure to these populations, we established the Hexacago Health Academy (HHA), an ongoing summer program. Structured as an informal learning environment with a strong youth initiated mentoring component, HHA uses game-based learning as both a means of health education and stimulating interest in careers in medicine among adolescents from underrepresented minority populations. In this article, we describe the 2015 session of the Hexacago Health Academy, which focused on the topic of sexual and reproductive health (SRH). The overall structure of HHA, with its dual focus on game design and enabling youth interaction with science and health professionals, is discussed. Qualitative data from the 24 youths that participated in the 2015 summer session was collected. Results indicated that the initial session of HHA succeeded in its goals of developing critical thinking skills among participants, encouraging teamwork, broadening understanding of the health sciences, and encouraging risk-taking in education. The overall potential efficacy of informal learning environments that use game design as a core component to stimulate interest in STEM fields is discussed.

Indexed as

Diversity in STEMGame-Based LearningGame DesignHealth EducationInformal Learning EnvironmentsSexual and Reproductive Health

Identifiers

PMID34136762
PMCPMC8205025

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.