Evidence map›Paper›PMID 35764985›Full record

ArticleBMC medical education2022

Adapting teaching and learning in times of COVID-19: a comparative assessment among higher education institutions in a global health network in 2020.

Dewi Ismajani Puradiredja, Linda Kintu-Sempa, Carola Eyber, Ralf Weigel, Bruno Broucker, Marie Lindkvist, Nuria Casamitjana, Rodney Reynolds, Hans-Friedemann Klinkel, Alberto Matteelli and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2022. 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
1.0field-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

1 citing paper in PubMed, 12 citations in OpenAlex.

  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

11 authors at 10 institutions in 7 countries.

Dewi Ismajani Puradiredja *Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Linda Kintu-Sempa *Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.
Carola EyberInstitute for Global Health and Development, Queen Margaret University, Edinburgh, UK.
Ralf WeigelWitten/Herdecke University, Witten, Germany.
Bruno BrouckerAntwerp Institute of Tropical Medicine, Antwerp, Belgium.
Marie LindkvistDepartment of Epidemiology and Global Health, Umea University, Umea, Sweden.
Nuria CasamitjanaISGlobal, Hospital Clínic - Universitat de Barcelona, Barcelona, Spain.
Rodney ReynoldsHigh Point University, High Point, USA.
Hans-Friedemann KlinkelInstitute of Tropical Medicine and International Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Alberto MatteelliDepartment of Clinical and Experimental Sciences, University of Brescia, and Spedali Civili, Brescia, Italy.
Guenter FroeschlDivision of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany. froeschl@lrz.uni-muenchen.de.
Ludwig-Maximilians-Universität München · DEBarcelona Institute for Global Health · ESBernhard Nocht Institute for Tropical Medicine · DECharité - Universitätsmedizin Berlin · DEHigh Point University · USInstituut voor Tropische Geneeskunde · BEQueen Margaret University · GBUmeå University · SEUniversity of Brescia · ITWitten/Herdecke University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis research examines the ways in which higher education institutions (HEIs) across the tropEd Network for Education in International Health (tropEd) began to adapt their teaching and learning approaches in response to the COVID-19 pandemic in 2020. Already during this early phase of the pandemic HEIs' responses demonstrate global health approaches emphasising cooperation and communication, rather than national health driven strategies that emphasise quarantine and control. Key lessons learnt for multiple dimensions of teaching and learning in global health are thus identified, and challenges and opportunities discussed.

methodsData collection includes a cross-sectional online survey among tropEd member institutions (n = 19) in mid-2020, and a complementary set of open-ended questions generating free-text responses (n = 9). Quantitative data were analysed using descriptive statistics, textual data were analysed using a Framework Analysis approach.

resultsWhile early on in the pandemic the focus was on a quick emergency switch to online teaching formats to ensure short-term continuity, and developing the administrative and didactic competence and confidence in digital teaching, there is already recognition among HEIs of the necessity for more fundamental quality and longer-term reforms in higher education in global health. Alongside practical concerns about the limitations of digital teaching, and declines in student numbers, there is a growing awareness of opportunities in terms of inclusivity, the necessity of cross-border cooperation, and a global health approach. The extent to which the lack of physical mobility impacts HEI programmes in global health is debated.

conclusionThe COVID-19 pandemic has brought about preventive measures that have had a considerable impact on various dimensions of academic teaching in global health. Going forward, international HEIs' experiences and response strategies can help generate important lessons for academic institutions across different settings worldwide.

Indexed as

COVID-19Global HealthCross-Sectional StudiesHumansLearningPandemicsCOVID-19Global healthHigher educationInternational healthPreventive measures

Identifiers

PMID35764985
PMCPMC9238047
OpenAlexW4283647023

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.