Factors Affecting in  Adoption and Use of Electronic Medical Record Based on Unified Theory of Acceptance and Use of Technology in Iran

Nematollahi, Mohtaram; Moosavi, Ahmad; Lazem, Mina; Aslani, Nasim; Kafashi, Mojtaba; Garavand, Ali

doi:10.5812/semj.57582

Cited by 17 publications

(15 citation statements)

References 18 publications

(19 reference statements)

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“…Nematollahi et al . in their study concluded that demographic variables do not impact the adoption of electronic medical records;[ 24 ] a finding, which is similar to the results of the present study. With regard to the study population features, for medical students who had similar educational levels and were most familiar with mobile health technology, the demographic information had no effect on their mobile health acceptance.…”

Section: Discussionsupporting

confidence: 91%

Factors affecting the acceptance of mobile health by medical sciences students: A cross-sectional study

Samadbeik

Garavand

Kordi

et al. 2020

Iranian J Nursing Midwifery Res

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Background: The use of mobile health has a pivotal role in the prevention and treatment of many diseases. This study aimed at determining the affecting factors in acceptance of mobile health by using a modified acceptance model, among medical sciences students in the south-west of Iran. Materials and Methods: This cross-sectional, analytical study was conducted in 2017. The research population included all the students of Lorestan University of Medical Sciences (LUMS). The 352 of students selected as the samples of study through a stratified sampling method. Data gathering was done through a valid and reliable questionnaire. The data was analyzed using Linear Structural Relations (LISREL) and Statistical Package for the Social Sciences (SPSS) software. Results: The findings showed that perceived usefulness (t 7, 38 = 2.16, p = 0.03), performance expectancy (t 7, 70 = 3.18, p = 0.01), facilitating conditions (t 10, 61 = 4.17, p < 0.001), and attitude to use (t 7, 14 = 5.49, p < 0.001) were effective in the behavior intention of mobile health. Moreover, the results showed that the behavior intention of mobile health applications (t 10, 77 = 8.10, p < 0.001) is effective on its user behavior. Conclusions: The results of our study showed that perceived usefulness, performance expectancy, facilitating conditions, and attitude to use of technology were the affecting factors in the acceptance of mobile health by the students. It is suggested that the policymakers and authorities comprehensively consider these important factors when introducing new technologies.

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Section: Discussionsupporting

confidence: 91%

Factors affecting the acceptance of mobile health by medical sciences students: A cross-sectional study

Samadbeik

Garavand

Kordi

et al. 2020

Iranian J Nursing Midwifery Res

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“…Nine studies [3], [4], [9], [20], [21], [29], [30], [31], [32] appropriately covered evaluation measures in the technology aspect. In human and organization aspects, the coverage rate of evaluation measures in six [23], [24], [33], [34], [35], [36] and four studies [9], [20], [37], [38] was better than other studies, respectively. Almost 40% of evaluations measures related to the human and organization aspects were covered by these studies.…”

Section: Coverage Rate Of Evaluation Measures In Identified Studies (Framework)mentioning

confidence: 78%

“…Z8, on the other hand, illustrates studies with moderate and low coverage in the technology and organization aspects, respectively. Nematollahi et al [34] In this table dimensions related to technology, human, and organization aspects were reported as following abbreviation, T1-T3 and TT for technology aspect, H1-H5 and TH for human aspect, and O1-O4 and TO for organization aspect. In this table, the coverage rate of evaluation measures was represented by color cells.…”

Section: Coverage Rate Of Evaluation Measures In Identified Studies (Framework)mentioning

confidence: 99%

Investigating Evaluation Frameworks for Electronic Health Record: A Literature Review

Ebnehoseini

Tabesh

Jangi

et al. 2021

Open Access Maced J Med Sci

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BACKGROUND: There are various electronic health records (EHRs) evaluation frameworks with multiple dimensions and numerous sets of evaluation measures, while the coverage rate of evaluation measures in a common framework varies in different studies. AIM: This study provides a literature review of the current EHR evaluation frameworks and a model for measuring the coverage rate of evaluation measures in EHR frameworks. METHODS: The current study was a comprehensive literature review and a critical appraisal study. The study was conducted in three phases. In Phase 1, a literature review of EHR evaluation frameworks was conducted. In Phase 2, a three-level hierarchical structure was developed, which includes three aspects, 12 dimensions, and 110 evaluation measures. Subsequently, evaluation measures in the identified studies were categorized based on the hierarchical structure. In Phase 3, relative frequency (RF) of evaluation measures in different dimensions and aspects for each of the identified studies were determined and categorized as follows: Appropriate, moderate, and low coverage. RESULTS: Out of a total of 8276 retrieved articles, 62 studies were considered relevant. The RF range in the second and third level of the hierarchical structure was between 8.6%–91.94% and 0.2%–61%, respectively. “Ease of use” and “system quality” were the most frequent evaluation measure and dimension. Our results indicate that identified studies cover at least one and at most nine evaluation dimensions and current evaluation frameworks focus more on the technology aspect. Almost in all identified studies, evaluation measures related to the technology aspect were covered. However, evaluation measures related to human and organization aspects were covered in 68% and 84% of the identified studies, respectively. CONCLUSION: In this study, we systematically reviewed all literature presenting any type of EHR evaluation framework and analyzed and discussed their aspects and features. We believe that the findings of this study can help researchers to review and adopt the EHR evaluation frameworks for their own particular field of usage.

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“…Venkatesh et al, (2003) identified four key moderators believed to influence the relation between major determinants and intentions: gender, age, voluntariness, and experience. Nematollahi et al, (2017) results showed that there is a direct positive relation between Effort Expectancy and Behavioral Intention (p = 0.01) as well as between facility conditions and behavioral intention (p = 0.04) and between facility conditions and Use behavior (p = 0.01). In addition, there is a direct and positive relation between behavioral intention and use behavior.…”

Section: Resultsmentioning

confidence: 95%

Unified Theory of Acceptance and Usage of Technology (UTAUT) Model to Predict Health Information System Adoption

Nurhayati

Anandari²,

Ekowati³

2019

Kemas

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In order to improve the quality and performance of health services, health information systems are one of the most important technologies in health management. This study aims to determine the factors that influence the adoption of nutrition information system by nutrition officers of primary health care by using Unified Theory of Acceptance and Usage of Technology (UTAUT) Model. This research is quantitative research with survey approach, located in 39 primary health care of Banyumas district. Sampling technique using purposive sampling. Respondents are 50 people. The research instrument used questionnaire. Based on regression test results known that factors related to use behaviour is behavioral intention. While the facilitating condition is not related to use behavior. Factors associated with behavioral intention is the performance expectancy, effort expectancy and social influence.

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Factors Affecting in Adoption and Use of Electronic Medical Record Based on Unified Theory of Acceptance and Use of Technology in Iran

Cited by 17 publications

References 18 publications

Factors affecting the acceptance of mobile health by medical sciences students: A cross-sectional study

Factors affecting the acceptance of mobile health by medical sciences students: A cross-sectional study

Investigating Evaluation Frameworks for Electronic Health Record: A Literature Review

Unified Theory of Acceptance and Usage of Technology (UTAUT) Model to Predict Health Information System Adoption

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