Evidence map›Paper›PMID 36247197›Full record

ArticleAnnals of global health2022

COVID-19 Pandemic Impact on Academic Global Health Programs: Results of a Large International Survey.

Elizabeth S Rose, Tracy L Rabin, Jenny Samaan, James C Hudspeth, Layan Ibrahim, Maria Catalina Padilla Azain, Jessica Evert, Quentin Eichbaum

Open access · goldAbstract read
In one paragraph

Article in Annals of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. MIGHTY: a virtual solution to global health education.International journal of medical education · 2024
    Article
  3. Article
  4. Article
  5. 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

8 authors at 6 institutions in 1 country.

Elizabeth S RoseVanderbilt University Medical Center, Vanderbilt University School of Medicine, US.ORCID 0000-0002-7245-2706
Tracy L RabinDepartment of Internal Medicine, Yale School of Medicine, US.ORCID 0000-0002-4829-9051
Jenny SamaanChild Family Health International, US.
James C HudspethBoston University, US.ORCID 0000-0001-6431-4162
Layan IbrahimVanderbilt University School of Medicine, US.ORCID 0000-0003-0815-0006
Maria Catalina Padilla AzainVanderbilt University School of Medicine, US.
Jessica EvertChild Family Health International, University of California San Francisco, US.ORCID 0000-0002-3669-7693
Quentin EichbaumVanderbilt University Medical Center, Vanderbilt University School of Medicine, US.ORCID 0000-0003-3480-7892
Vanderbilt University · USVanderbilt University Medical Center · USBoston University · USFamily Health International 360 · USUniversity of California, San Francisco · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic caused significant disruptions in international communications and travel for academic global health programs (AGHPs) in both high-income countries (HICs) and low- and middle-income countries (LMICs). Given the importance of international travel and communication to AGHPs, the pandemic has likely had considerable impact on the education, research, and administrative components of these programs. To date, no substantive study has determined the impacts of the COVID-19 pandemic on AGHPs in HICs and LMICs. This study assessed the impacts and resultant adaptations of AGHPs to pandemic realities with the goal of sharing strategies and approaches. Methods: This study applied a mixed methods sequential explanatory design to survey AGHPs in HICs and LMICs about the impacts of the COVID-19 pandemic on three program domains: education, research, and administration. First, we surveyed a range of AGHP stakeholders to capture quantitative data on the pandemic's impact. Subsequently we conducted semi-structured interviews with select survey participants to gather qualitative data expanding on specific survey responses. Data from both phases were then compared and interpreted together to develop conclusions and suggest adaptive/innovative approaches for AGHPs. Results: AGHPs in both HICs and LMICs were significantly impacted by the pandemic in all three domains, though in different ways. While education initiatives managed to adapt by pivoting towards virtual learning, research programs were impacted more negatively by the disruptions in communication and international travel. The impact of the pandemic on scholarly output as well as on funding for education and research was quite variable, although LMIC programs were more negatively impacted. Administratively, AGHPs implemented a range of safety and risk mitigation strategies and showed a low risk tolerance for international travel. The pandemic posed many challenges but also revealed opportunities for AGHPs. Conclusions: The COVID-19 pandemic disrupted AGHPs in HICs and LMICs in expected and unexpected ways. Programs noted some unanticipated reductions in education program funding, negative impacts on research programs, and reduced scholarly output. Many programs reported well-coordinated adaptive responses to the pandemic including, for instance, virtual (in place of in-person) collaboration in research. The pandemic will likely have lasting impacts with regard to education, research collaborations, and administration of programs.

Indexed as

COVID-19Global HealthDeveloping CountriesHumansPandemicsPovertySurveys and Questionnairesacademic global health programsCovid-19international travelLMICs and HICsrisk mitigationvirtual learning

Identifiers

PMID36247197
PMCPMC9524235
OpenAlexW4298004282

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.