IT Acceptance by Nurses in Morocco: Application of a Modified Unified Theory of Acceptance and Use of Technology

Bennani, Az-Eddine; Oumlil, Rachid

doi:10.5171/2013.849383

Cited by 13 publications

(13 citation statements)

References 27 publications

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“…Another significance predictor of intention to use EMRs is social influence (β = 0.18, p < 0.001). Social influence positively affects intention to use EMRs This result is consistent with a study done in morocco (B = 3.29, p < 0.001) [41], Taiwan (β = 0.16, p = 0.015) [38], South Korea (β = 0.10, p < 0.05) [34] and America (β = 0.198 p < 0.05) [42]. Health care providers might perceive that external pressure towards using a new system could be possibly from the hospital administration, patients or health professionals [43].…”

Section: Discussionsupporting

confidence: 91%

Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAUT2) model

Ahmed¹,

Bogale

Tilahun

et al. 2020

BMC Med Inform Decis Mak

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Background: Electronic Medical Records (EMRs) are systems to store patient information like medical histories, test results, and medications electronically. It helps to give quality service by improving data handling and communication in healthcare setting. EMR implementation in developing countries is increasing exponentially. But, only few of them are successfully implemented. Intention to use EMRs by health care provider is crucial for successful implementation and adoption of EMRs. However, intention of health care providers to use EMR in Ethiopia is unknown. Objective: The aim of this study was to assess health care provider's intention to use and its predictors towards Electronic Medical Record systems at three referral hospitals in northwest , Ethiopia, 2019. Methods: Institutional based cross-sectional explanatory study design was conducted from March to September among 420 health care providers working at three referral hospitals in northwest Ethiopia. Data were analyzed using structural equation model (SEM). Simple and multiple SEM were used to assess the determinants of health care providers intention to use EMRs. Critical ratio and standardized coefficients were used to measure the association of dependent and independent variables, 95% confidence intervals and P-value were calculated to evaluate statistical significance. Qualitative data was analyzed using thematic analysis.

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Section: Discussionsupporting

confidence: 91%

Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAUT2) model

Ahmed¹,

Bogale

Tilahun

et al. 2020

BMC Med Inform Decis Mak

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Section: Literature Reviewmentioning

confidence: 96%

“…For instance, perceived ease of use and the perceived views of referent others (social influence) positively influenced adoption intentions in Taiwan, Thailand, and Morocco. 6,29,30 Performance expectancy or an individual's perception that technology will be useful in their work activities significantly influenced health professionals' intentions to use health technology in Thailand and Taiwan, 6,29 but did not influence intentions in Canada. 31 The literature discusses a number of additional barriers facing mHealth in developing countries such as prohibiting effects of perceived fit, 32 infrastructural barriers and cultural barriers, 9 resistance, and confusion over the benefits and aims of the proposed technical intervention 33 on stakeholders' attitudes and behavioural intentions.…”

Section: Empirical Studiesmentioning

confidence: 96%

Are we on the same page? Exploring stakeholders’ shared mental models of mobile health in rural Nigeria

Fox

O’Connor²,

Eze

et al. 2020

Health Informatics J

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Despite the benefits promised by mobile health, the introduction of these solutions is often met with resistance from various stakeholders. This article adopts a shared mental model approach to unearth the current perceptions, concerns, and mentalities of key stakeholders engaged in the provision of healthcare in Nigeria. These include policy makers, academics, healthcare professionals, and health information systems developers. Interviews and focus groups were used to examine stakeholders’ views across three mental models: (1) the technology, (2) processes, and (3) the team. Our investigations reveal disparities in stakeholders’ existing mental models and their perceptions of the proposed mobile health solution. We argue that fostering a common understanding of mobile health, as well as elucidating an improved understanding of processes and team behaviours, will mitigate the risk of resistance among stakeholders involved in the design and delivery of community healthcare services and culminate in a positive attitude towards new mobile health solutions among these stakeholders. We highlight the need to enhance communication and training from national to rural levels to promote complementary mental models and positively influence team performance.

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“…A study by Bennani and Oumlil in 2014 was conducted to study nurses' acceptance of e-health adoption in Morocco using the UTAUT model. Since 2001, the Moroccan government has shown interest in reforming the country's health-care system to improve performance and satisfy the public's demand for health care.…”

Section: E-government Health Application Adoption Studiesmentioning

confidence: 99%

“…The main goal of this project was the deployment of HIS. Bennani and Oumlil (2014) studied factors influencing nurses' acceptance of this technology through a reduced version of the UTAUT model where the FC construct is a moderating variable and actual use is excluded. The TR construct is added to the remaining constructs PE, EE, and SI to predict the nurses' intention to use HIS.…”

Section: E-government Health Application Adoption Studiesmentioning

confidence: 99%

Exploring Public Attitudes toward E-Government Health Applications Used During the COVID-19 Pandemic: Evidence from Saudi Arabia

Bamufleh¹,

Alshamari²,

Alsobhi³

et al. 2021

CIS

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This study sought to explore factors that determine the public’s acceptance of and adoption behavior toward e-government health applications launched in Saudi Arabia (SA) by the Ministry of Health (MOH) during the COVID-19 pandemic. The research relied on several theories: the technology acceptance model (TAM), information system success model (ISSM), mobile services acceptance model (MSAM), and unified theory of acceptance and use of technology (UTAUT). The constructs of perceived ease of use (PEOU), perceived usefulness (PU), attitude (ATT), trust (TR), information quality (IQ), facilitating condition (FC), and social influence (SI) were utilized to investigate the user’s intention toward using e-government health applications. The proposed model and its seven hypotheses were tested by conducting a survey across social media among citizens and residents in SA. A total of 785 valid responses were analyzed by SmartPLS and a structural equation modeling technique. After analysis, the results showed that PEOU, PU, ATT, TR, IQ, FC, and SI have positive effects on behavioral intentions. As for contributions, this paper is the first research paper to investigate the adoption of e-government health applications launched by MOH in SA during the COVID-19 pandemic and to provide a theoretical framework for pursuing future research work in a similar scope.

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IT Acceptance by Nurses in Morocco: Application of a Modified Unified Theory of Acceptance and Use of Technology

Cited by 13 publications

References 27 publications

Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAUT2) model

Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAUT2) model

Are we on the same page? Exploring stakeholders’ shared mental models of mobile health in rural Nigeria

Exploring Public Attitudes toward E-Government Health Applications Used During the COVID-19 Pandemic: Evidence from Saudi Arabia

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