Evidence map›Paper›PMID 30231894›Full record

ArticleHuman resources for health2018

The use of low-cost Android tablets to train community health workers in Mukono, Uganda, in the recognition, treatment and prevention of pneumonia in children under five: a pilot randomised controlled trial.

James O'Donovan, Kenneth Kabali, Celia Taylor, Margarita Chukhina, Jacqueline C Kading, Jonathan Fuld, Edward O'Neil

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in Human resources for health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02971449 (Using mHealth Tools to Deliver Integrated Community Case Management), which is not on this map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 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.

NCT02971449 naunknown statusnot on this map

Using mHealth Tools to Deliver Integrated Community Case Management (ICCM) to Village Health Team (VHT) Volunteers in Uganda.

TypeinterventionalSponsorOmni MedRan2016 to 2017Enrolled200ConditionsCommunity Health Services, TelemedicineArmsAmazon Fire Tablet, ICCM Traditional Trainins
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

James O'DonovanDepartment of Medicine, Addenbrookes Hospital, Cambridge, UK. jamesodonovan@post.harvard.edu.ORCID 0000-0002-7248-5436
Kenneth KabaliDivision of Research, Omni Med, Mukono, Uganda.
Celia TaylorDivision of Health Sciences, Warwick University Medical School, Coventry, UK.
Margarita ChukhinaDivision of Research, Omni Med, Mukono, Uganda.
Jacqueline C KadingSchool of Medicine, Washington University School of Medicine in St. Louis, St Louis, USA.
Jonathan FuldDepartment of Medicine, Addenbrookes Hospital, Cambridge, UK.
Edward O'NeilDivision of Research, Omni Med, Mukono, Uganda.

Funding

British Medical Association Charitable Arm Grant (2015-2016)
6 · The paper itself

Abstract

backgroundSince 2012, The World Health Organization and UNICEF have advocated for community health workers (CHWs) to be trained in Integrated Community Case Management (iCCM) of common childhood illnesses, such as pneumonia. Despite the effectiveness of iCCM, CHWs face many barriers to accessing training. This pilot study compares traditional training with using locally made videos loaded onto low-cost Android tablets to train CHWs on the pneumonia component of iCCM.

methodsWe conducted a pilot randomised controlled trial with CHWs in the Mukono District of Uganda. The unit of randomisation was the sub-county level, and the unit of analysis was at the level of the individual CHW. Eligible CHWs had completed basic iCCM training but had not received any refresher training on the pneumonia component of iCCM in the preceding 2 years. CHWs in the control group received training in the recognition, treatment, and prevention of pneumonia as it is currently delivered, through a 1-day, in-person workshop. CHWs allocated to the intervention group received training via locally made educational videos hosted on low-cost Android tablets. The primary outcome was change in knowledge acquisition, assessed through a multiple choice questionnaire before and after training, and a post-training clinical assessment. The secondary outcome was a qualitative evaluation of CHW experiences of using the tablet platform.

resultsIn the study, 129 CHWs were enrolled, 66 and 63 in the control and intervention groups respectively. CHWs in both groups demonstrated an improvement in multiple choice question test scores before and after training; however, there was no statistically significant difference in the improvement between groups (t = 1.15, p = 0.254). There was a statistically significant positive correlation (Pearson's r = 0.26, p = 0.03) linking years of education to improvement in test scores in the control group, which was not present in the intervention group. The majority of CHWs expressed satisfaction with the use of tablets as a training tool; however, some reported technical issues (n = 9).

conclusionTablet-based training is comparable to traditional training in terms of knowledge acquisition. It also proved to be feasible and a satisfactory means of delivering training to CHWs. Further research is required to understand the impacts of scaling such an intervention.

trial registrationRegistered on 23/11/2016 at clinicaltrials.gov ( NCT02971449 ).

Indexed as

Computers, HandheldVideotape RecordingAdultAnti-Bacterial AgentsChild, PreschoolCommunity Health WorkersComputer-Assisted InstructionEducation, MedicalFemaleHumansInfantInfant, NewbornMaleMiddle AgedPilot ProjectsPneumoniaAnti-Bacterial AgentsCommunity health worker (CHW)Integrated Community Case Management (iCCM)mHealthMobile technologiesPneumoniaUganda

Identifiers

PMID30231894
PMCPMC6146528

What OpenQuestion holds

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Registered trials

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.