Evidence map›Paper›PMID 33705448›Full record

Trial reportPloS one2021

Determinants of a mobile phone-based Interactive Voice Response (mIVR) system for monitoring childhood illnesses in a rural district of Ghana: Empirical evidence from the UTAUT model.

Timothy Kwabena Adjei, Aliyu Mohammed, Princess Ruhama Acheampong, Emmanuel Acquah-Gyan, Augustina Sylverken, Sampson Twumasi-Ankrah, Michael Owusu, Ellis Owusu-Dabo

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Timothy Kwabena AdjeiDepartment of Global and International Health, School of Public Health- Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID 0000-0003-0330-0861
Aliyu MohammedDepartment of Epidemiology and Biostatistics, School of Public Health- Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Princess Ruhama AcheampongDepartment of Global and International Health, School of Public Health- Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID 0000-0002-3161-6487
Emmanuel Acquah-GyanDepartment of Global and International Health, School of Public Health- Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID 0000-0003-3767-6525
Augustina SylverkenDepartment of Theoretical and Applied Biology, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID 0000-0002-7691-914X
Sampson Twumasi-AnkrahDepartment of Statistics and Actuarial Science, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Michael OwusuFaculty of Allied Health, Department of Medical Diagnostics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Ellis Owusu-DaboDepartment of Global and International Health, School of Public Health- Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Kwame Nkrumah University of Science and Technology · GHKomfo Anokye Teaching Hospital · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of a mobile phone-based Interactive Voice Response (mIVR) System for real time monitoring of childhood illnesses provides an opportunity to improve childhood survival and health systems. However, little is known about the factors that facilitate its use. This study sought to identify key determinants and moderators of mIVR system use among caregivers in a rural district of Ghana using the Unified Theory of Acceptance and Use of Technology (UTAUT) model.

methodsThe mIVR system was designed to provide real-time data on common symptoms of childhood illnesses after answering several questions by caregivers with sick children. A structured questionnaire with closed questions was used to collect data from 354 caregivers of children under-five living in rural communities, four (4) months after introducing the system. Regression analysis was used to identify key determinants and moderating factors that facilitate the use of the system based on the UTAUT model.

resultsA total of 101 (28.5%) caregivers had used the system and 328 (92.7%) had intention to use the mIVR system. Caregivers' level of education and household wealth were associated with use of the mIVR systems (p<0.001). Behavioural intention (BI) to use mIVR system was positively influenced by performance expectancy (PE) (β = 0.278, 95% CI: 0.207, 0.349), effort expectancy (EE) (β = 0.242, 95% CI: 0.159, 0.326) and social influence (SI) (β = 0.081, 95% CI: 0.044, 0.120). Facilitating conditions (FC) (β = 0.609, 95% CI: 0.502, 0.715) and behavioural intention (β = 0.426, 95% CI: 0.255, 0.597) had a positive influence on user behaviour (UB). Mobile phone experience and household wealth significantly moderated the effect of PE, EE, SI, and FC on behavioural intention and usage of mIVR systems.

conclusionThe perceived usefulness of the mIVR system, ease of use, social influences, and facilitating conditions are key determinants of users' attitude and use of mIVR system. These relationships are significantly moderated by users' phone experience and wealth status.

Indexed as

Attitude of Health PersonnelCell PhoneElectronic Health RecordsRural PopulationSurveys and QuestionnairesAdultChildFemaleGhanaHumansMaleMiddle Aged

Identifiers

PMID33705448
PMCPMC7951827
OpenAlexW3135687383

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.