Evidence map›Paper›PMID 35798522›Full record

ArticleBMJ open2022

Mobile application adjunct to the WHO basic emergency care course: a mixed methods study.

Andrea G Tenner, Anya L Greenberg, Paulina Nicholaus, Christian C Rose, Newton Addo, Catherine Reuben Shari, Alexandra Friedman, Upendo N George, Michael J Losak, Juma A Mfinanga and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. 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
0.8field-weighted citation impact, top 24% 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, 4 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

11 authors at 5 institutions in 2 countries.

Andrea G TennerDepartment of Emergency Medicine, University of California San Francisco, San Francisco, California, USA.
Anya L GreenbergSchool of Medicine, University of California San Francisco, San Francisco, California, USA anya.greenberg@ucsf.edu.ORCID 0000-0002-6174-5976
Paulina NicholausDepartment of Emergency Medicine, Muhimbili National Hospital, Dar es Salaam, United Republic of Tanzania.
Christian C RoseDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-5115-649X
Newton AddoDepartment of Emergency Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-3673-1804
Catherine Reuben ShariDepartment of Emergency Medicine, Muhimbili National Hospital, Dar es Salaam, United Republic of Tanzania.
Alexandra FriedmanDepartment of Emergency Medicine, Highland Hospital, Oakland, California, USA.
Upendo N GeorgeDepartment of Emergency Medicine, Muhimbili National Hospital, Dar es Salaam, United Republic of Tanzania.
Michael J LosakDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA.
Juma A MfinangaDepartment of Emergency Medicine, Muhimbili National Hospital, Dar es Salaam, Dar es Salaam, United Republic of Tanzania.
Hendry R SaweDepartment of Emergency Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.ORCID 0000-0002-0395-5385
Muhimbili National Hospital · TZUniversity of California, San Francisco · USStanford University · USHighland Hospital · USMuhimbili University of Health and Allied Sciences · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe WHO developed a 5-day basic emergency care (BEC) course using the traditional lecture format. However, adult learning theory suggests that lecture-based courses alone may not promote long-term knowledge retention. We assessed whether a mobile application adjunct (BEC app) can have positive impact on knowledge acquisition and retention compared with the BEC course alone and evaluated perceptions, acceptability and barriers to adoption of such a tool.

designMixed-methods prospective cohort study.

participantsAdult healthcare workers in six health facilities in Tanzania who enrolled in the BEC course and were divided into the control arm (BEC course) or the intervention arm (BEC course plus BEC app).

main outcome measuresChanges in knowledge assessment scores, self-efficacy and perceptions of BEC app.

results92 enrolees, 46 (50%) in each arm, completed the BEC course. 71 (77%) returned for the 4-month follow-up. Mean test scores were not different between the two arms at any time period. Both arms had significantly improved test scores from enrolment (prior to distribution of materials) to day 1 of the BEC course and from day 1 of BEC course to immediately after BEC course completion. The drop-off in mean scores from immediately after BEC course completion to 4 months after course completion was not significant for either arm. No differences were observed between the two arms for any self-efficacy question at any time point. Focus groups revealed five major themes related to BEC app adoption: educational utility, clinical utility, user experience, barriers to access and barriers to use.

conclusionThe BEC app was well received, but no differences in knowledge retention and self-efficacy were observed between the two arms and only a very small number of participants reported using the app. Technologic-based, linguistic-based and content-based barriers likely limited its impact.

Indexed as

Emergency Medical ServicesMobile ApplicationsAdultHumansLearningProspective StudiesWorld Health OrganizationACCIDENT & EMERGENCY MEDICINEEDUCATION & TRAINING (see Medical Education & Training)QUALITATIVE RESEARCH

Identifiers

PMID35798522
PMCPMC9263902
OpenAlexW4284714029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.