Literature DB >> 28920708

Perceived usefulness and perceived ease of use of electronic health records among nurses: Application of Technology Acceptance Model.

Ahmad Tubaishat1.   

Abstract

BACKGROUND: Electronic health records (EHRs) are increasingly being implemented in healthcare organizations but little attention has been paid to the degree to which nurses as end-users will accept these systems and subsequently use them.
OBJECTIVES: To explore nurses' perceptions of usefulness and ease-of-use of EHRs. The relationship between these constructs was examined, and its predictors were studied.
METHOD: A national exploratory study was conducted with 1539 nurses from 15 randomly selected hospitals, representative of different regions and healthcare sectors in Jordan. Data were collected using a self-administered questionnaire, which was based on the Technology Acceptance Model. Correlations and linear multiple regression were utilized to analyze the data.
RESULTS: Jordanian nurses demonstrated a positive perception of the usefulness and ease-of-use of EHRs, and subsequently accepted the technology. Significant positive correlations were found between these two constructs. The variables that predict usefulness were the gender, professional rank, EHR experience, and computer skills of the nurses. The perceived ease-of-use was affected by nursing and EHR experience, and computers skills.
CONCLUSION: This study adds to the growing body of knowledge on issues related to the acceptance of technology in the health informatics field, focusing on nurses' acceptance of EHRs.

Keywords:  Acceptance; ease-of-use; electronic health records; nurses; technology acceptance model; usefulness

Mesh:

Year:  2017        PMID: 28920708     DOI: 10.1080/17538157.2017.1363761

Source DB:  PubMed          Journal:  Inform Health Soc Care        ISSN: 1753-8157            Impact factor:   2.439


  17 in total

1.  Perceptions of healthcare professionals about the adoption and use of EHR in Gulf Cooperation Council countries: a systematic review.

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Authors:  Nattakit Yuduang; Ardvin Kester S Ong; Nicole B Vista; Yogi Tri Prasetyo; Reny Nadlifatin; Satria Fadil Persada; Ma Janice J Gumasing; Josephine D German; Kirstien Paola E Robas; Thanatorn Chuenyindee; Thapanat Buaphiban
Journal:  Int J Environ Res Public Health       Date:  2022-05-31       Impact factor: 4.614

4.  Comparison of usability evaluation methods for a health information system: heuristic evaluation versus cognitive walkthrough method.

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Journal:  BMC Med Inform Decis Mak       Date:  2022-06-18       Impact factor: 3.298

5.  Evaluation of the Patient Experience with the Mawid App during the COVID-19 Pandemic in Al Hassa, Saudi Arabia.

Authors:  Eman AlAli; Reem Al-Dossary; Saja Al-Rayes; Naof Al-Ansary; Deema Alshawan; Salma Almulla; Fahad Alanezi; Zahraa Alakrawi; Norah Alnaim; Linah Saraireh; Razaz Waheeb Attar; Nouf Alaenzi; Hayathem Bin Hasher; Bashair AlThani; Lojain Alsulaiman; Naif Alenazi; Beyan Hariri; Turki Alanzi
Journal:  Healthcare (Basel)       Date:  2022-05-30

6.  Physicians' gender and their use of electronic health records: findings from a mixed-methods usability study.

Authors:  Saif Khairat; Cameron Coleman; Paige Ottmar; Thomas Bice; Ross Koppel; Shannon S Carson
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

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Journal:  J Public Health Res       Date:  2021-04-14

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Journal:  Appl Clin Inform       Date:  2021-06-23       Impact factor: 2.762

9.  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.

Authors:  Mohammedjud Hassen Ahmed; Adina Demissie Bogale; Binyam Tilahun; Mulugeta Hayelom Kalayou; Jorn Klein; Shegaw Anagaw Mengiste; Berhanu Fikadie Endehabtu
Journal:  BMC Med Inform Decis Mak       Date:  2020-09-03       Impact factor: 2.796

10.  Comprehensive user requirements engineering methodology for secure and interoperable health data exchange.

Authors:  Pantelis Natsiavas; Janne Rasmussen; Maja Voss-Knude; Κostas Votis; Luigi Coppolino; Paolo Campegiani; Isaac Cano; David Marí; Giuliana Faiella; Fabrizio Clemente; Marco Nalin; Evangelos Grivas; Oana Stan; Erol Gelenbe; Jos Dumortier; Jan Petersen; Dimitrios Tzovaras; Luigi Romano; Ioannis Komnios; Vassilis Koutkias
Journal:  BMC Med Inform Decis Mak       Date:  2018-10-16       Impact factor: 2.796

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