Literature DB >> 29618139

Factors Affecting Acceptance of Hospital Information Systems Based on Extended Technology Acceptance Model: A Case Study in Three Paraclinical Departments.

Hamed Nadri1, Bahlol Rahimi1, Hadi Lotfnezhad Afshar1, Mahnaz Samadbeik2, Ali Garavand3.   

Abstract

OBJECTIVE: Regardless of the acceptance of users, information and communication systems can be considered as a health intervention designed to improve the care delivered to patients. This study aimed to determine the adoption and use of the extended Technology Acceptance Model (TAM2) by the users of hospital information system (HIS) in paraclinical departments including laboratory, radiology, and nutrition and to investigate the key factors of adoption and use of these systems.
MATERIALS AND METHODS: A standard questionnaire was used to collect the data from nearly 253 users of these systems in paraclinical departments of eight university hospitals in two different cities of Iran. A total of 202 questionnaires including valid responses were used in this study (105 in Urmia and 97 in Khorramabad). The data were processed using LISREL and SPSS software and statistical analysis technique was based on the structural equation modeling (SEM).
RESULTS: It was found that the original TAM constructs had a significant impact on the staffs' behavioral intention to adopt HIS in paraclinical departments. The results of this study indicated that cognitive instrumental processes (job relevance, output quality, result demonstrability, and perceived ease of use), except for result demonstrability, were significant predictors of intention to use, whereas the result revealed no significant relationship between social influence processes (subjective norm, voluntariness, and image) and the users' behavioral intention to use the system.
CONCLUSION: The results confirmed that several factors in the TAM2 that were important in previous studies were not significant in paraclinical departments and in government-owned hospitals. The users' behavior factors are essential for successful usage of the system and should be considered. It provides valuable information for hospital system providers and policy makers in understanding the adoption challenges as well as practical guidance for the successful implementation of information systems in paraclinical departments. Schattauer GmbH Stuttgart.

Entities:  

Mesh:

Year:  2018        PMID: 29618139      PMCID: PMC5884692          DOI: 10.1055/s-0038-1641595

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  23 in total

Review 1.  Evaluation of health information systems-problems and challenges.

Authors:  Elske Ammenwerth; Stefan Gräber; Gabriele Herrmann; Thomas Bürkle; Jochem König
Journal:  Int J Med Inform       Date:  2003-09       Impact factor: 4.046

2.  An empirical study of physicians' acceptance of hospital information systems in Taiwan.

Authors:  Rai-Fu Chen; Ju-Ling Hsiao
Journal:  Telemed J E Health       Date:  2012-01-27       Impact factor: 3.536

Review 3.  Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals.

Authors:  Marie-Pierre Gagnon; Marie Desmartis; Michel Labrecque; Josip Car; Claudia Pagliari; Pierre Pluye; Pierre Frémont; Johanne Gagnon; Nadine Tremblay; France Légaré
Journal:  J Med Syst       Date:  2010-03-30       Impact factor: 4.460

4.  Testing the technology acceptance model for evaluating healthcare professionals' intention to use an adverse event reporting system.

Authors:  Jen-Her Wu; Wen-Shen Shen; Li-Min Lin; Robert A Greenes; David W Bates
Journal:  Int J Qual Health Care       Date:  2008-01-25       Impact factor: 2.038

5.  Using a modified technology acceptance model in hospitals.

Authors:  Vassilios P Aggelidis; Prodromos D Chatzoglou
Journal:  Int J Med Inform       Date:  2008-08-03       Impact factor: 4.046

6.  A study of factors affecting acceptance of hospital information systems: a nursing perspective.

Authors:  Ju-Ling Hsiao; Hui-Chuan Chang; Rai-Fu Chen
Journal:  J Nurs Res       Date:  2011-06       Impact factor: 1.682

Review 7.  Predicting nurses' use of healthcare technology using the technology acceptance model: an integrative review.

Authors:  Gillian Strudwick
Journal:  Comput Inform Nurs       Date:  2015-05       Impact factor: 1.985

8.  Innovative health care delivery system--a questionnaire survey to evaluate the influence of behavioral factors on individuals' acceptance of telecare.

Authors:  Jui-Chen Huang
Journal:  Comput Biol Med       Date:  2013-01-31       Impact factor: 4.589

9.  Social networks and physician adoption of electronic health records: insights from an empirical study.

Authors:  Kai Zheng; Rema Padman; David Krackhardt; Michael P Johnson; Herbert S Diamond
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

Review 10.  Health information systems - past, present, future.

Authors:  Reinhold Haux
Journal:  Int J Med Inform       Date:  2005-09-19       Impact factor: 4.046

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  13 in total

1.  A Systematic Review of the Technology Acceptance Model in Health Informatics.

Authors:  Bahlol Rahimi; Hamed Nadri; Hadi Lotfnezhad Afshar; Toomas Timpka
Journal:  Appl Clin Inform       Date:  2018-08-15       Impact factor: 2.342

2.  Formative Evaluation of the Acceptance of HIV Prevention Artificial Intelligence Chatbots By Men Who Have Sex With Men in Malaysia: Focus Group Study.

Authors:  Mary L Peng; Jeffrey A Wickersham; Frederick L Altice; Roman Shrestha; Iskandar Azwa; Xin Zhou; Mohd Akbar Ab Halim; Wan Mohd Ikhtiaruddin; Vincent Tee; Adeeba Kamarulzaman; Zhao Ni
Journal:  JMIR Form Res       Date:  2022-10-06

3.  Caregiver Expectations of Interfacing With Voice Assistants to Support Complex Home Care: Mixed Methods Study.

Authors:  Ryan Tennant; Sana Allana; Kate Mercer; Catherine M Burns
Journal:  JMIR Hum Factors       Date:  2022-06-30

4.  Understanding key factors affecting on hospital electronic health record (EHR) adoption.

Authors:  Zahra Ebnehoseini; Mahmood Tara; Hamed Tabesh; Fatemeh Hami Dindar; Sepideh Hasibian
Journal:  J Family Med Prim Care       Date:  2020-08-25

5.  Factors Affecting Patients' Acceptance of and Satisfaction with Cloud-Based Telehealth for Chronic Disease Management: A Case Study in the Workplace.

Authors:  Yung-Yu Su; Su-Tsai Huang; Ying-Hsun Wu; Chun-Min Chen
Journal:  Appl Clin Inform       Date:  2020-04-15       Impact factor: 2.342

6.  Population Heath Informatics Can Advance Interoperability: National Program of Cancer Registries Electronic Pathology Reporting Project.

Authors:  Lori A Pollack; Sandra F Jones; Wendy Blumenthal; Temitope O Alimi; David E Jones; Joseph D Rogers; Vicki B Benard; Lisa C Richardson
Journal:  JCO Clin Cancer Inform       Date:  2020-10

7.  The Determinants of M-Health Adoption in Developing Countries: An Empirical Investigation.

Authors:  Ahmad Alaiad; Mohammad Alsharo; Yazan Alnsour
Journal:  Appl Clin Inform       Date:  2019-10-30       Impact factor: 2.342

8.  A qualitative study of physician perspectives on adaptation to electronic health records.

Authors:  Cynthia J Sieck; Nicole Pearl; Tiffani J Bright; Po-Yin Yen
Journal:  BMC Med Inform Decis Mak       Date:  2020-02-10       Impact factor: 2.796

9.  Factors Affecting the Acceptance of Mobile Health by Medical Sciences Students: A Cross-Sectional Study.

Authors:  Mahnaz Samadbeik; Ali Garavand; Marzieh Kordi; Atefeh Abtin; Heshmatollah Asadi
Journal:  Iran J Nurs Midwifery Res       Date:  2020-11-07

10.  Factors associated with nurses' user resistance to change of electronic health record systems.

Authors:  Younghee Cho; Mihui Kim; Mona Choi
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-17       Impact factor: 2.796

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