Evidence map›Paper›PMID 25361721›Full record

ArticleGlobal health action2014

Health workers' knowledge of and attitudes towards computer applications in rural African health facilities.

Felix Sukums, Nathan Mensah, Rose Mpembeni, Jens Kaltschmidt, Walter E Haefeli, Antje Blank

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
11.6field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 92 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

6 authors at 4 institutions in 3 countries.

Felix SukumsDepartment of Clinical Pharmacology & Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany; Directorate of Information and Communication Technology, Muhimbili University of Health and Allied Sciences (MUHAS), Dar es Salaam, Tanzania.
Nathan MensahDepartment of Clinical Pharmacology & Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany; Navrongo Health Research Centre, Navrongo, Ghana.
Rose MpembeniDepartment of Epidemiology and Biostatistics, School of Public Health and Social Sciences, Muhimbili University of Health and Allied Sciences (MUHAS), Dar es Salaam, Tanzania.
Jens KaltschmidtDepartment of Clinical Pharmacology & Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany.
Walter E HaefeliDepartment of Clinical Pharmacology & Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany.
Antje BlankDepartment of Clinical Pharmacology & Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany; antje.blank@med.uni-heidelberg.de.
University Hospital Heidelberg · DEHeidelberg University · DEMuhimbili University of Health and Allied Sciences · TZNavrongo Health Research Centre · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe QUALMAT (Quality of Maternal and Prenatal Care: Bridging the Know-do Gap) project has introduced an electronic clinical decision support system (CDSS) for pre-natal and maternal care services in rural primary health facilities in Burkina Faso, Ghana, and Tanzania.

objectiveTo report an assessment of health providers' computer knowledge, experience, and attitudes prior to the implementation of the QUALMAT electronic CDSS.

designA cross-sectional study was conducted with providers in 24 QUALMAT project sites. Information was collected using structured questionnaires. Chi-squared tests and one-way ANOVA describe the association between computer knowledge, attitudes, and other factors. Semi-structured interviews and focus groups were conducted to gain further insights.

resultsA total of 108 providers responded, 63% were from Tanzania and 37% from Ghana. The mean age was 37.6 years, and 79% were female. Only 40% had ever used computers, and 29% had prior computer training. About 80% were computer illiterate or beginners. Educational level, age, and years of work experience were significantly associated with computer knowledge (p<0.01). Most (95.3%) had positive attitudes towards computers - average score (±SD) of 37.2 (±4.9). Females had significantly lower scores than males. Interviews and group discussions showed that although most were lacking computer knowledge and experience, they were optimistic about overcoming challenges associated with the introduction of computers in their workplace.

conclusionsGiven the low levels of computer knowledge among rural health workers in Africa, it is important to provide adequate training and support to ensure the successful uptake of electronic CDSSs in these settings. The positive attitudes to computers found in this study underscore that also rural care providers are ready to use such technology.

Indexed as

Attitude of Health PersonnelAttitude to ComputersDecision Support Systems, ClinicalMaternal Health ServicesRural Health ServicesAdultBurkina FasoCross-Sectional StudiesFemaleFocus GroupsGhanaHumansInterviews as TopicMaleRural PopulationSurveys and Questionnairesattitude towards computerscomputer knowledgecomputershealth personnelmaternal health servicesrural health servicessub-Saharan Africa

Identifiers

PMID25361721
PMCPMC4212075
OpenAlexW2159011937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.