Literature DB >> 35139562

Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature.

Consuela C Yousef1,2,3, Teresa M Salgado4, Ali Farooq5, Keisha Burnett6, Laura E McClelland7, Laila C Abu Esba2,3,8, Hani S Alhamdan2,9, Sahal Khoshhal2,3,10, Ibrahim Aldossary2,3,11, Omar A Alyas12, Jonathan P DeShazo7.   

Abstract

BACKGROUND: Personal health records (PHRs) can facilitate patient-centered communication through the secure messaging feature. As health care organizations in the Kingdom of Saudi Arabia implement PHRs and begin to implement the secure messaging feature, studies are needed to evaluate health care providers' acceptance.
OBJECTIVE: The aim of this study was to identify predictors of health care providers' behavioral intention to support the addition of a secure messaging feature in PHRs using an adapted model of the Unified Theory of Acceptance and Use of Technology as the theoretical framework.
METHODS: Using a cross-sectional survey design, data on acceptance of secure messaging features in PHRs were collected from health care providers working at the Ministry of National Guard Health Affairs between April and May 2021. The proposed model was tested using partial least squares structural equation modeling in SmartPLS.
RESULTS: There were 224 participants: female (66.5%), 40 to 49 years of age (39.9%), nurses (45.1%), and those working more than 10 years in the organization (68.8%). Behavioral intention to support the addition of a secure messaging feature was significantly influenced by performance expectancy (β = 0.21, p = 0.01) and attitude (β = 0.50, p < 0.01), while other predicting factors, such as effort expectancy, social influence, and facilitating condition, did not significantly affect the intention. Furthermore, age, years of experience, and professional role did not moderate the relationships.
CONCLUSION: Health care professionals will support introducing a secure messaging feature in the PHRs if they serve the intended purpose. Considering attitude also plays a significant role in acceptance, it is necessary to arrange for training and support, so that caregivers, health care providers, and the patients become familiar with the benefits and expected outcomes of using the feature. Thieme. All rights reserved.

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Year:  2022        PMID: 35139562      PMCID: PMC8828451          DOI: 10.1055/s-0041-1742217

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


  55 in total

Review 1.  Healthcare professionals' organisational barriers to health information technologies-a literature review.

Authors:  Maria Lluch
Journal:  Int J Med Inform       Date:  2011-10-13       Impact factor: 4.046

2.  Users' Attitudes Towards Personal Health Records: A Cross-Sectional Pilot Study.

Authors:  Peyman Azad Khaneghah; Antonio Miguel-Cruz; Pamela Bentley; Lili Liu; Eleni Stroulia; Martin Ferguson-Pell
Journal:  Appl Clin Inform       Date:  2016-06-22       Impact factor: 2.342

3.  Towards reinforcing telemedicine adoption amongst clinicians in Nigeria.

Authors:  Kayode I Adenuga; Noorminshah A Iahad; Suraya Miskon
Journal:  Int J Med Inform       Date:  2017-05-17       Impact factor: 4.046

Review 4.  Patient-centered communication in the era of electronic health records: What does the evidence say?

Authors:  Cheryl Rathert; Jessica N Mittler; Sudeep Banerjee; Jennifer McDaniel
Journal:  Patient Educ Couns       Date:  2016-07-25

5.  Evaluating the Impact of a New Smartphone Texting Tool on Patient Care in Obstetrics, an Emergent Healthcare Setting.

Authors:  Jacqueline Feinberg; Sara Shaw; Nitu Kashyap; Jessica Illuzzi; Katherine Campbell; Allen L Hsiao; Christian M Pettker
Journal:  Appl Clin Inform       Date:  2019-11-20       Impact factor: 2.342

6.  The Use and Effects of Electronic Health Tools for Patient Self-Monitoring and Reporting of Outcomes Following Medication Use: Systematic Review.

Authors:  Karla Lancaster; Aseel Abuzour; Manmeet Khaira; Annalise Mathers; April Chan; Vivian Bui; Annie Lok; Lehana Thabane; Lisa Dolovich
Journal:  J Med Internet Res       Date:  2018-12-18       Impact factor: 5.428

7.  Factors Affecting Patients' Use of Electronic Personal Health Records in England: Cross-Sectional Study.

Authors:  Bridgette M Bewick; Alaa Abd-Alrazaq; Tracey Farragher; Peter Gardner
Journal:  J Med Internet Res       Date:  2019-07-31       Impact factor: 5.428

8.  The personal health record paradox: health care professionals' perspectives and the information ecology of personal health record systems in organizational and clinical settings.

Authors:  Kim M Nazi
Journal:  J Med Internet Res       Date:  2013-04-04       Impact factor: 5.428

Review 9.  Electronic medical records and health care promotion in Saudi Arabia.

Authors:  Sana A AlSadrah
Journal:  Saudi Med J       Date:  2020-06       Impact factor: 1.484

10.  The Riyadh Declaration: the role of digital health in fighting pandemics.

Authors:  Bandar Al Knawy; Mahmood Adil; George Crooks; Kyu Rhee; David Bates; Hani Jokhdar; Michael Klag; Uichin Lee; Ali H Mokdad; Louise Schaper; Raed Al Hazme; Ali M Al Khathaami; Joud Abduljawad
Journal:  Lancet       Date:  2020-09-22       Impact factor: 79.321

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