Literature DB >> 33444155

Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study.

Huanlin Wang1, LanYu Liang1, ChunLin Du1, YongKang Wu1.   

Abstract

BACKGROUND: Online hospitals are part of an innovative model that allows China to explore telemedicine services based on national conditions with large populations, uneven distribution of medical resources, and lack of quality medical resources, especially among residents needing to be protected from COVID-19 infection.
OBJECTIVE: In this study, we built a hypothesis model based on the unified theory of acceptance and use of technology in order to analyze the factors that may influence patients' willingness to use mobile medical services. This research was designed to assist in the development of mobile medical services. Residents who do not live in urban areas and cannot access medical assistance would greatly benefit from this research, as they could immediately go to the online hospital when needed.
METHODS: A cross-sectional study based at the West China Hospital, Sichuan University, was conducted in July 2020. A total of 407 respondents, 18 to 59 years old, in Western China were recruited by convenience sampling. We also conducted an empirical test for the hypothesis model and applied structural equation modeling to estimate the significance of path coefficients so that we could better understand the influencing factors.
RESULTS: Out of 407 respondents, 95 (23.3%) were aware of online hospitals, while 312 (76.7%) indicated that they have never heard of online hospitals before. Gender (P=.048) and education level (P=.04) affected people's willingness to use online hospitals, and both of these factors promoted the use of online hospitals (odds ratio [OR] 2.844, 95% CI 1.010-8.003, and OR 2.187, 95% CI 1.031-4.636, respectively). According to structural equation modeling, the results of the path coefficient analysis indicated that performance expectancy, effort expectancy, and facilitating conditions have positive effects on patients' willingness to use online hospitals.
CONCLUSIONS: The goal of our research was to determine the factors that influence patients' awareness and willingness to use online hospitals. Currently, the public's awareness and usage of online hospitals is low. In fact, effort expectancy was the most important factor that influenced the use of online hospitals; being female and having a high education also played positive roles toward the use of mobile medical services. ©Huanlin Wang, LanYu Liang, ChunLin Du, YongKang Wu. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 05.02.2021.

Entities:  

Keywords:  COVID-19; mobile medical service; online hospital; unified theory of acceptance and use of technology

Year:  2021        PMID: 33444155     DOI: 10.2196/25960

Source DB:  PubMed          Journal:  JMIR Mhealth Uhealth        ISSN: 2291-5222            Impact factor:   4.773


  9 in total

1.  Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services.

Authors:  Isaac Kofi Mensah
Journal:  Front Public Health       Date:  2022-06-14

2.  Impact of Actual Use Behavior of Healthcare Wearable Devices on Quality of Life: A Cross-Sectional Survey of People with Dementia and Their Caregivers in Ghana.

Authors:  Ebenezer Larnyo; Baozhen Dai; Abigail Larnyo; Jonathan Aseye Nutakor; Sabina Ampon-Wireko; Edmund Nana Kwame Nkrumah; Ruth Appiah
Journal:  Healthcare (Basel)       Date:  2022-01-30

3.  Impact of Service Quality on In-Patients' Satisfaction, Perceived Value, and Customer Loyalty: A Mixed-Methods Study from a Developing Country.

Authors:  Nhi Xuan Nguyen; Khoa Tran; Tuyet Anh Nguyen
Journal:  Patient Prefer Adherence       Date:  2021-11-17       Impact factor: 2.711

4.  Indonesian hospital telemedicine acceptance model: the influence of user behavior and technological dimensions.

Authors:  Steffi Alexandra; Putu Wuri Handayani; Fatimah Azzahro
Journal:  Heliyon       Date:  2021-12-14

5.  Telemedicine in Low- and Middle-Income Countries During the COVID-19 Pandemic: A Scoping Review.

Authors:  Kareem Mahmoud; Catalina Jaramillo; Sandra Barteit
Journal:  Front Public Health       Date:  2022-06-22

6.  Stimuli Influencing Engagement, Satisfaction, and Intention to Use Telemedicine Services: An Integrative Model.

Authors:  Ruhul Amin; Md Alamgir Hossain; Md Minhaj Uddin; Mohammad Toriqul Islam Jony; Minho Kim
Journal:  Healthcare (Basel)       Date:  2022-07-18

7.  Attitudes and perspectives of 534 Chinese pediatricians toward internet hospitals.

Authors:  Wenbin Cui; Weijun Zhu; Xiaojie Li; Danmai Wu; Ping He; Guangjun Yu
Journal:  Front Pediatr       Date:  2022-09-28       Impact factor: 3.569

8.  The practice of teleneurology in the Philippines during the COVID-19 pandemic.

Authors:  Gerald T Pagaling; Adrian I Espiritu; Marie Antoinette A Dellosa; Carl Froilan D Leochico; Paul Matthew D Pasco
Journal:  Neurol Sci       Date:  2021-11-03       Impact factor: 3.830

9.  Applying an Extended UTAUT2 Model to Explain User Acceptance of Lifestyle and Therapy Mobile Health Apps: Survey Study.

Authors:  Eva-Maria Schomakers; Chantal Lidynia; Luisa Sophie Vervier; André Calero Valdez; Martina Ziefle
Journal:  JMIR Mhealth Uhealth       Date:  2022-01-18       Impact factor: 4.773

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.