Evidence map›Paper›PMID 31976035›Full record

ArticleOnline journal of public health informatics2019

Improving Information and Communications Technology (ICT) Knowledge and Skills to Develop Health Research Capacity in Kenya.

Aliza Monroe-Wise, John Kinuthia, Sherrilynne Fuller, Matthew Dunbar, David Masuda, Elisha Opiyo, Betty Muchai, Christopher Chepken, Elijah Omwenga, Robert Oboko and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Online journal of public health informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Aliza Monroe-Wise1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
John Kinuthia1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
Sherrilynne Fuller1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
Matthew Dunbar1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
David Masuda1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
Elisha Opiyo1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
Betty Muchai1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
Christopher Chepken1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
Elijah Omwenga1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
Robert Oboko1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
Alfred Osoti1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
Daniel Masys1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.
Michael H Chung1Departments of Global Health and Medicine, University of Washington 2Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya 3Department of Biomedical Informatics and Information School, University of Washington 4Center for Studies in Demography and Ecology, University of Washington 5Department of Biomedical Informatics and Medical Education, University of Washington 6School of Computing and Informatics, University of Nairobi.

Funding

Developing ICT Research Skills and Institutional Capacity in KenyaR25TW009692 · FIC · UNIVERSITY OF WASHINGTON · PI CHUNG, MICHAEL HOONBAE, DUNBAR, MATTHEW D · 2014 to 2016
$326k
FIC NIH HHS R25 TW009692
6 · The paper itself

Abstract

Objectives Information and communication technology (ICT) tools are increasingly important for clinical care and international research. Many technologies would be particularly useful for healthcare workers in resource-limited settings; however, these individuals are the least likely to utilize ICT tools due tolack of knowledge and skills necessary to use them. Our program aimed to train researchers in low-resource settings on using ICT tools and to understand how different didactic modalities build knowledge and skills in this area. Methods We conducted a tiered, blended learning program for researchers in Kenya on three areas of ICT: geographic information systems, data management, and communication tools. Each course included three tiers: online courses, skills workshops, and mentored projects. Concurrently, a training of trainers course was taught to ensure sustainable ongoing training. A mixed qualitative and quantitative survey was conducted at the end of each training to assess knowledge and skill acquisition. Results Course elements that incorporated local examples and hands-on skill building activities were most valuable. Discussion boards were sometimes distracting, depending on multiple factors. Mentored projects were most useful when there were clear expectations, pre-existing projects, and clear timelines. Discussion Training in the use of ICT tools is highly valued among researchers in low-income settings, particularly when it includes hands-on skill-building and local examples. Our students demonstrated acquisition of new skills and felt these skills to be valuable in their workplaces. Conclusions Further training in ICT skills should be considered in other low-resource settings using our program as a foundational model.

Indexed as

blended learninge-learningInformation and communication technology (ICT)Kenya

Identifiers

PMID31976035
PMCPMC6975540

What OpenQuestion holds

Textmetadata
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.