Modeling predictors of acceptance and use of electronic medical record system in a resource limited setting: Using modified UTAUT model

Shiferaw, Kirubel Biruk; Mehari, Eden Abetu

doi:10.1016/j.imu.2019.100182

Cited by 98 publications

(103 citation statements)

References 111 publications

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“…Therefore, medical institutions should conduct an in-depth analysis of nurses' expectations for a mobile nursing app to ensure that their work needs are met. In this way, the benefits of a mobile nursing app can be given full play, and nurses are more willing to rely on customized a mobile nursing app [69,70].…”

Section: Discussionmentioning

confidence: 99%

Determinants of the behavioral intention to use a mobile nursing application by nurses in China

Pan

Gao

2021

BMC Health Serv Res

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Background Although a mobile nursing application has began to adopt in nursing, few studies have focused on nurses’ behavioral intention of it. The objective of this study is to gain insight into the behavioral intention of nurses, i.e. chinese nurses of the future, to use a mobile nursing application. This study adopted an extension of the Unified Theory of Acceptance and Use of Technology to examine Chinese nurses’ acceptance of a mobile nursing application. Methods A total of 1207 nurses participated in the cross-sectional survey. The majority of nurses were female (96.2%). The mean age of the participants was 34.18 (SD 7.39). The hypothesized relationships were tested using AMOS structural equation model. Results All constructs exhibited an acceptable level of reliability and validity with Cα and CR > 0.7 and AVE > 0.5. An extension of the Unified Theory of Acceptance and Use of Technology Model had good explanatory power for nurses’ behavioral intention of a mobile nursing application. Although effort expectancy and perceived risks had a surprisingly insignificant effect on nurses’ behavioral intention to use a mobile nursing application, performance expectancy, social influence, facilitating conditions, self-efficacy, and perceived incentives demonstrated significant influence with β = .259, p < .001, β = .296, p < .001, β = .063, p = .037, β = .344, p < .001, β = .091, p = .001, respectively. Conclusion With 70.2% of the variance in behavioral intention to use a mobile nursing app explained by this model, it could be helpful for potential adopters, and further investigation should test the actual usage behavior for a mobile nursing app and investigate the related factors.

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Section: Discussionmentioning

confidence: 99%

Determinants of the behavioral intention to use a mobile nursing application by nurses in China

Pan

Gao

2021

BMC Health Serv Res

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“…The widespread of internet use and technological advancement in every sector creating a simplified and accessible environment for the world as whole. [1][2][3][4] Despite the reality of digital divide among nations, 5,6 introducing new systems in the working environment has its own drawbacks in complicating a system which is already complex enough systems like healthcare systems. [7][8][9][10] To overcome the challenge in advancing the healthcare system, there is a need to assess the current level of exposure to the internet and digital artifacts among the potential users.…”

Section: Introductionmentioning

confidence: 99%

<p>Validation of the Ethiopian Version of eHealth Literacy Scale (ET-eHEALS) in a Population with Chronic Disease</p>

Shiferaw

2020

RMHP

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Background: Although the measurement scale developed by Norman and Skinner is the widely used scale to assess consumers' eHealth literacy, translating and validating the scale for the language of the target population under consideration is necessary. Amharic is the official national language of Ethiopia, with 29.3% of native speakers. Methods: The total sample size calculated was 187 with 6% non-response rate. The internal consistency of the ET-eHEALS was measured using Cronbach's alpha coefficient. Test-retest reliability was assessed by re-administering the ET-eHEALS questionnaire to 74 patients which is 40% of the total sample size. Construct validity was evaluated using exploratory factor analysis. The Kaiser-Meyer-Olkin (KMO) statistic and Bartlett's test of sphericity were used to check the suitability of performing the factor analysis. Results: Of the respondents, 63.1% (n=118) were males and 55.1% (n=103) were aged between 18 and 35 years, with 57.2% (n=107) of the participants being educated to high school diploma level or higher. Cronbach's alpha coefficient for the translated ET-eHEALS total score was 0.94. Test-retest reliability of ET-eHEALS total score was acceptable for both agreements and consistent with ICC (interclass correlation coefficient) of 0.92. The KMO ratio of sampling appropriateness was acceptable (0.91), and Bartlett's test of sphericity was significant with p < 0.001. The EFA (exploratory factor analysis) extracted two factors based on an extraction principle of a minimum eigenvalue of one. The extracted factor explained 80.2% of the common variance which is 51.8% for factor 1 and 28.4% for factor 2. Except for item, item fit for both infit and outfit mean squares were within the adequate range (0.5-1.5). Conclusion: This study depicted that ET-eHEALS is a consistent and valid instrument to evaluate Amharic-speaking chronic patients' eHealth literacy level. Since there is no prior validation of eHEALS in low-income country, this finding may indicate important directions for further improvement in eHEALS item performance in resource-limited settings.

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“…Some lecturers in south-west Nigeria Federal universities have negative behavioural intention towards podcast. Behavioural intention factor has influence on technologies acceptance (Shiferaw and Mehari 2019 ). This behavioural intention problem is part of UTAUT framework that is considered as an influence towards technology adoption by Venkatesh et al ( 2003 ).…”

Section: Introductionmentioning

confidence: 99%

Mediating effect of behavioural intention on podcast acceptance

2020

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This research contributes to knowledge in mediating effect of lecturers’ behavioural intention towards the acceptance of podcasts technology in universities. A cross-sectional quantitative research design was involved in this study. Also, a total of eight hundred and twenty-nine (829) lecturers participated in this research from three different south-west Nigeria Federal universities. The research instrument was titled lecturer’s acceptance questionnaire (LAQ) with a calculated Cronbach’s alpha of .919, which confirmed the instrument validity. The gathered data was analysed by using both descriptive and inferential statistics. The formulated hypothesis was tested at .05 level of significance. The result from descriptive analysis of data suggested that behavioural intention was at a low level among lecturers and the results of hypothesis testing revealed the effect of behavioural intention as partial mediator of podcast acceptance. Based on these findings relevant conclusions and recommendations were suggested in this research.

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Modeling predictors of acceptance and use of electronic medical record system in a resource limited setting: Using modified UTAUT model

Cited by 98 publications

References 111 publications

Determinants of the behavioral intention to use a mobile nursing application by nurses in China

Determinants of the behavioral intention to use a mobile nursing application by nurses in China

<p>Validation of the Ethiopian Version of eHealth Literacy Scale (ET-eHEALS) in a Population with Chronic Disease</p>

Mediating effect of behavioural intention on podcast acceptance

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