Literature DB >> 31854222

Predictive factors of physicians' satisfaction with telemedicine services acceptance.

Jonathan Kissi, Baozhen Dai, Courage Sk Dogbe, Jonathan Banahene1, Oyeh Ernest2.   

Abstract

Despite the significant increase in telemedicine services technology, its adoption and use have been quite slow in some healthcare settings. It is generally accepted in today's globalizing world that the success of telemedicine services relies on users' satisfaction. Satisfying physicians and patients is one of the crucial objectives of telemedicine success. This study seeks to evaluate physicians' satisfaction with telemedicine services adoption and utilization using the technology acceptance model. A structured questionnaire based on the construct of technology acceptance model was used to solicit for data from participants in four different government health institutions. Purposive and convenience sampling techniques were employed to select healthcare professionals from various medical fields. Structural equation modeling was utilized in the data analysis. Perceived ease of use and perceived usefulness of telemedicine services were found to influence physicians' behavioral intentions. This resulted in increased efficiency, quality of services, quality patient care delivery, and satisfaction among physicians in using telemedicine services. We noted that the adoption of telemedicine services in clinical settings depends on physicians' and patients' satisfaction with the use of the service. The study contributes to empirical knowledge by identifying the vital predictive factors affecting telemedicine services satisfaction among physicians.

Entities:  

Keywords:  perceived ease of use; perceived usefulness; physician satisfaction; technology acceptance model; telemedicine

Mesh:

Year:  2019        PMID: 31854222     DOI: 10.1177/1460458219892162

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  23 in total

1.  Exposure Detection Applications Acceptance: The Case of COVID-19.

Authors:  Adi Alsyouf; Abdalwali Lutfi; Mohammad Al-Bsheish; Mu'taman Jarrar; Khalid Al-Mugheed; Mohammed Amin Almaiah; Fahad Nasser Alhazmi; Ra'ed Masa'deh; Rami J Anshasi; Abdallah Ashour
Journal:  Int J Environ Res Public Health       Date:  2022-06-14       Impact factor: 4.614

Review 2.  Remote Patient Monitoring in Heart Failure: Factors for Clinical Efficacy.

Authors:  Ankit Bhatia; Thomas M Maddox
Journal:  Int J Heart Fail       Date:  2020-11-30

3.  Telepsychiatry: knowledge, effectiveness, and willingness; assessments of psychiatrists in Saudi Arabia.

Authors:  Saleh A Alghamdi; Osamah M Alshahrani; Abdulmajeed K Alharbi; Omar A Alghamdi; Reem A Almohaini; Jouf Y Alsayat
Journal:  Neurosciences (Riyadh)       Date:  2022-04       Impact factor: 0.735

4.  Translation and Validation of the Questionnaire on Acceptance to Telemedicine from the Technology Acceptance Model (TAM) for Use in Malaysia.

Authors:  Masliyana Husin; Norazida Ab Rahman; Mohamad Adam Bujang; Sock Wen Ng; Kawselyah Juval; Wen Yea Hwong; Sheamini Sivasampu
Journal:  Biomed Res Int       Date:  2022-04-20       Impact factor: 3.246

5.  Understanding Clinicians' Adoption of Mobile Health Tools: A Qualitative Review of the Most Used Frameworks.

Authors:  Christine Jacob; Antonio Sanchez-Vazquez; Chris Ivory
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-06       Impact factor: 4.773

6.  Evaluation and Feedback for Telehealth From Patients and Physicians During the Early Stage of COVID-19 Pandemic Period.

Authors:  James Yu; Summia Matin Afridi; Ashley C Cozart; Luis Isea; Jian Guan
Journal:  Cureus       Date:  2021-01-11

7.  Witnesses and Victims Both: Healthcare Workers and Grief in the Time of COVID-19.

Authors:  Michael W Rabow; Chao-Hui S Huang; Gloria E White-Hammond; Rodney O Tucker
Journal:  J Pain Symptom Manage       Date:  2021-02-05       Impact factor: 3.612

8.  The early warning research on nursing care of stroke patients with intelligent wearable devices under COVID-19.

Authors:  Fengxia Li; Zhimin Tao; Ruiling Li; Zhi Qu
Journal:  Pers Ubiquitous Comput       Date:  2021-01-26       Impact factor: 3.006

9.  Telemedicine During COVID-19 for Outpatient Sports and Musculoskeletal Medicine Physicians.

Authors:  Adam S Tenforde; Mary A Iaccarino; Haylee Borgstrom; Jaye E Hefner; Julie Silver; Marwa Ahmed; Ashwin N Babu; Cheri A Blauwet; Lauren Elson; Christine Eng; Dana Kotler; Scott Homer; Steven Makovitch; Kelly C McInnis; Ariana Vora; Joanne Borg-Stein
Journal:  PM R       Date:  2020-07-10       Impact factor: 2.218

Review 10.  A Review of Patient and Provider Satisfaction with Telemedicine.

Authors:  Mary Nguyen; Morgan Waller; Aarti Pandya; Jay Portnoy
Journal:  Curr Allergy Asthma Rep       Date:  2020-09-22       Impact factor: 4.806

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.