A model for the adoption of ICT by health workers in Africa

Jimoh, Lanrewaju; Pate, Muhammad Ali; Lin, Li; Schulman, Kevin A.

doi:10.1016/j.ijmedinf.2012.08.005

Cited by 60 publications

(40 citation statements)

References 11 publications

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“…This is time consuming and increases the workload. To overcome the problem with double documentation, one suggestion is to integrate the CDSS with the patient medical record as earlier research (23) has showed that HCWs are keen to accept and use technologies such as a CDSS which follows their working process (12,24). Furthermore, a practical issue that takes time and disturbs their workflow is that they only have access to one computer per facility.…”

Section: Ojphimentioning

confidence: 99%

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Opportunities and obstacles using a clinical decision support system for maternal care in Burkina Faso

Zakane

Gustafsson

Sié

et al. 2017

OJPHI

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Objective: Maternal and neonatal mortality is high in sub-Saharan Africa. To support Healthcare Workers (HCWs), a computerized decision support system (CDSS) was piloted at six rural maternal care units in Burkina Faso. During the two years of the study period, it was apparent from reports that the CDSS was not used regularly in clinical practice. This study aimed to explore the reasons why HCWs failed to use the CDSS.Methods: A workshop, organized as group discussions and a plenary session, was performed with 13 participants to understand their experience with the CDSS and suggest improvements if pertinent. Workshop transcripts were analyzed thematically. Socio-demographic and usage patterns of the CDSS were examined by a questionnaire and analyzed descriptively.Results: The participants reported that the contextual basic conditions for using the CDSS were not fulfilled. These included unreliable power supply, none user-friendly partograph, the CDSS was not integrated with workflow and staff lacked motivational incentives. Despite these limitations, the HCWs reported learning benefits from guidance and alerts in the CDSS. Using the CDSS enabled them to discover problems earlier as they learned to focus on symptoms to prevent harmful situations.Opportunities and obstacles using a clinical decision support system for maternal care in Burkina Faso

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Section: Ojphimentioning

confidence: 99%

“…Designing a CDSS without considering the user perspective fails to provide interest, and can raise resistance to their use in daily practice (7,(9)(10)(11). The benefits of CDSS systems are ensured if they have a specific purpose, are "easy to use" and are adapted to the workflow at the healthcare facility (3,6,7,12,13).…”

Section: Introductionmentioning

confidence: 99%

Opportunities and obstacles using a clinical decision support system for maternal care in Burkina Faso

Zakane

Gustafsson

Sié

et al. 2017

OJPHI

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“…Unlike the sociotechnical approaches prevalent in health informatics implementation science, it does not consider the influence of human factors, the internal resources of the user or the external environmental and ecological factors such as, barriers to technology adoption and the policy and economic environment. Jimoh et al asserts the importance of endemic barriers and human factors such as end-user preferences to be considered in developing ICT implementation strategies [35]. This study systematically assessed the factors determining the readiness of communities to adopt mHealth in developing countries.…”

Section: Introductionmentioning

confidence: 99%

Determinants of readiness to adopt mHealth in a rural community of Bangladesh

Khatun

Heywood

Ray

et al. 2015

International Journal of Medical Informatics

108

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“…Some have further argued that if used in its generic form, it may fail to capture or even contradict some unique contextual features of computerised healthcare, that is, indicating a significant gap in knowledge 14 , 17 , 41. Many studies have attempted to utilise the TAM in explaining or predicting ICT adoption in healthcare by applying it to specific healthcare applications20 , 22 , 26 , 42 or modifying the model to test new variables or hypotheses 6 , 18 , 20 , 43…”

Section: Literature Reviewmentioning

confidence: 99%

Towards understanding healthcare professionals’ adoption and use of technologies in clinical practice: using Q-methodology and models of technology acceptance

Ladan¹,

Wharrad

Windle

2018

BMJ Health Care Inform

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This paper describes a pilot study to explore these factors that influence information and technology adoption and use by health professionals in the clinical area in Sub-Saharan Africa. We report on the use of Q-methodology and the models of technology acceptance used in combination for the first time. The methodology used for this study aims to explore the subjectivity of healthcare professionals and present their shared views (factors) on their adoption and use of e-health within clinical practice.

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A model for the adoption of ICT by health workers in Africa

Cited by 60 publications

References 11 publications

Opportunities and obstacles using a clinical decision support system for maternal care in Burkina Faso

Opportunities and obstacles using a clinical decision support system for maternal care in Burkina Faso

Determinants of readiness to adopt mHealth in a rural community of Bangladesh

Towards understanding healthcare professionals’ adoption and use of technologies in clinical practice: using Q-methodology and models of technology acceptance

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