Evidence map›Paper›PMID 34457270›Full record

ArticleTherapeutic advances in infectious disease

Training health workers at scale in Nigeria to fight COVID-19 using the InStrat COVID-19 tutorial app: an e-health interventional study.

Akaninyene Otu, Okey Okuzu, Emmanuel Effa, Bassey Ebenso, Soter Ameh, Nrip Nihalani, Obiageli Onwusaka, Tomisin Tawose, Adebola Olayinka, John Walley

Abstract read
In one paragraph

Article in Therapeutic advances in infectious disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
–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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  9. Scoping review of health information technology usability methods leveraged in Africa.Journal of the American Medical Informatics Association : JAMIA · 2023
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  10. Global Health Informatics: the state of research and lessons learned.Journal of the American Medical Informatics Association : JAMIA · 2023
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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

10 authors.

Akaninyene OtuDepartment of Infection and Travel Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK.ORCID https://orcid.org/0000-0002-6009-2707
Okey OkuzuInStrat LLC, Montclair, NJ, USA.
Emmanuel EffaDepartment of Internal Medicine, College of Medical Sciences, University of Calabar, Calabar, Cross River State, Nigeria.ORCID https://orcid.org/0000-0002-5654-2963
Bassey EbensoNuffield Centre for International Health and Development, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
Soter AmehDepartment of Community Medicine, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Nigeria.
Nrip NihalaniPlus91 Technologies Pvt Ltd., Pune, India.
Obiageli OnwusakaFoundation for Healthcare Innovation and Development, Calabar, Cross River State, Nigeria.
Tomisin TawoseInStrat Global Health Solutions, Abuja, Nigeria.
Adebola OlayinkaWorld Health Organization Country Office Abuja, Nigeria.
John WalleyNuffield Centre for International Health and Development, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundHealth worker training is an essential component of epidemic control; rapid delivery of such training is possible in low-middle income countries with digital platforms.

methodsBased on prior experience with the Ebola outbreak, we developed and deployed a bespoke InStrat COVID-19 tutorial app, to deliver accurate and regularly updated information about COVID-19 to frontline health workers and epidemic response officers across 25 states of Nigeria. The potential effectiveness of this app in training frontline health workers was assessed through online pre- and post-tests and a survey.

resultsA total of 1051 health workers from 25 states across Nigeria undertook the e-learning on the InStrat COVID-19 training app. Of these, 627 (57%) completed both the pre- and post-tests in addition to completing the training modules. Overall, there were statistically significant differences between pre- and post-tests knowledge scores (54 increasing to 74). There were also differences in the subcategories of sex, region and cadre. There were higher post-test scores in males compared with females, younger versus older and southern compared with northern Nigeria. A total of 65 (50%) of the participants reported that the app increased their understanding of COVID-19, while 69 (53%) stated that they had applied the knowledge and skills learnt at work. Overall, the functionality and usability of the app were satisfactory.

conclusionCapacity building for epidemic control using e-health applications is potentially effective, can be delivered at minimal cost and service disruption and can serve as a tool for capacity building in similar contexts.

Indexed as

COVID-19e-Healthe-Learning at scalefrontline health workersNigeriapandemics

Identifiers

PMID34457270
PMCPMC8385598

What OpenQuestion holds

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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.