scholarly journals An exploratory study on Telemedicine in the South African Public Health Sector: A case of Gauteng Province

10.29007/vpdt ◽  
2019 ◽  
Author(s):  
Tope Samuel Adeyelure ◽  
Billy Mathias Kalema

Health systems in South African comprises of both the private sector and the public sector, run by the government. Majority of the population access health services through public clinics and hospitals. Public health sectors are understaffed, with inadequate resources, especially in rural areas. Information and communication technology and its applications can be seen as a way forward to counteract some of the challenges faced in public health sectors. Telemedicine can be tool to assist in bridging the gaps in this regard. Telemedicine is health-care delivery concept that enables distant to be examined by medical practitioners using telecommunications technologies. Therefore, this research study aimed to investigate factors that influences users’ readiness to accept telemedicine in South African public health sectors environment. To achieve this objective, this study followed a positivism paradigm, supported by the quantitative research approach. Organization and Environment (in TOE framework) constructs, technology compatibility (in model of information technology implementation), perceived usefulness and perceived ease of use (in Technology Acceptance Model, (TAM))guided the development of hypotheses and their testing for this study. The findings reveal that technology, environment, organization, information quality, and security are factors that inform pre-implementation of telemedicine in South African public health sector.

Author(s):  
Yuan Tang ◽  
Yu-Tao Yang ◽  
Yun-Fei Shao

As a new type of public health service product, online medical websites (OMWs) are becoming quite popular. OMWs can address patients’ basic medical problems remotely and give health guidance online. Compared to traditional hospitals, OMWs are more convenient and inexpensive, they can usually provide a better service for patients with poor medical conditions (especially in rural areas), and they also contribute to the rational distribution of medical resources. Therefore, key factors that affect patients’ acceptance of OMWs must be identified to contribute to public health. By integrating perceived risk (PR) and the technology acceptance model (TAM), we proposed a modified TAM and clarified how PR and other factors affect patients’ behavioral intention (BI) towards OMWs. A sample of 245 research participants in China took part in this study and the structural equation model (SEM) was used to test our hypotheses. The results revealed that perceived usefulness (PU) is a positive predictor of BI but has no significant effect on attitude (ATT), while perceived ease of use (PEOU) can affect BI through PU and attitude (ATT). Moreover, trust (TRU) was identified as a mediator of PR and PU/PEOU. Also, the doctor–patient relationship (DPR) was shown to moderate PR and TRU. In order to increase patients’ BI, OMW providers need further innovations to improve patients’ TRU and reduce their PR.


2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Tafadzwa Dhokotera ◽  
Julia Bohlius ◽  
Adrian Spoerri ◽  
Matthias Egger ◽  
Jabulani Ncayiyana ◽  
...  

2012 ◽  
Vol 3 (1) ◽  
pp. 8-21 ◽  
Author(s):  
Elaheh Yadegaridehkordi ◽  
Noorminshah A. Iahad

In today’s world, interests of mobile devices for educational processes anytime and anywhere has been on the rise. However, adoption of this new technology by students is complicated. The purpose of this study is to examine the factors that influence the adoption of M-learning by students and to propose an appropriate model for its adoption. Three external variables, namely Perceived Mobility Value, Prior Use of Electronic Learning and Self-efficacy, were incorporated into the Technology Acceptance Model and tested in Universiti Teknologi Malaysia. Quantitative research approach was used to survey 350 students. Empirical data from multiple regression analyses indicates that Perceived Usefulness, Perceived Ease of use, Perceived Mobility Value, Prior Use of Electronic Learning, Self-efficacy, and Attitude toward using, can positively affect the adoption of M-learning. Results are explored further in this study


Healthcare ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 156 ◽  
Author(s):  
Wai-Ming To ◽  
Peter K. C. Lee ◽  
Jinxuan Lu ◽  
Junhao Wang ◽  
Yihan Yang ◽  
...  

mHealth is one of China’s national strategies that brings affordable, accessible, and convenient health care to its entire population, may they be in cities or rural areas. Although Chinese young adults are among the first to adopt mHealth, the factors influencing Chinese young adults to use mHealth are yet to be studied both empirically and in depth. This study explores the mechanism that determines Chinese young adults’ intention to use mHealth, based on an extended Technology Acceptance Model (TAM). The extended TAM was tested using responses from 486 Chinese young adults. The results showed that perceived usefulness strongly and significantly influenced people’s intention to use mHealth. Additionally, communication effectiveness, health consciousness, and perceived ease of use were found as significant factors influencing people’s intention to use mHealth through perceived usefulness. Distrust was not found to significantly influence people’s intention to use mHealth.


2019 ◽  
Vol 26 (3) ◽  
pp. 1866-1880 ◽  
Author(s):  
Jonathan Kissi ◽  
Baozhen Dai ◽  
Courage SK Dogbe ◽  
Jonathan Banahene ◽  
Oyeh Ernest

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.


2015 ◽  
Vol 17 (1) ◽  
Author(s):  
Willie Chinyamurindi ◽  
Herring Shava

Background: The use of electronic learning (e-learning) systems is gaining popularity especially within a Higher Education (HE) context. However, scholars have identified some factors that affect the utilisation and the acceptance of such systems, one of which is the gender divide, which favours mostly males ahead of females.Objectives: The objective of this study was to investigate the acceptance of the e-learning system within a South African HE setting, including the influential role of gender in the acceptance of such a system. Method: Quantitative data was collected through a cross-sectional survey using 113 registered final year students at a South African university who were making use of an e-learning system as part of their teaching delivery. The measuring instrument used was the technology acceptance instrument (TAI) and included measures of computer self-efficacy (CSE), perceived ease of use (PEU), perceived usefulness (PU), and behavioural intention to use (BIU). Results: The presence of a gender divide was found to exist in this study. Women’s ratings of the acceptance of e-learning systems were found to be slightly higher than those of the male respondents. In addition to this, elements of the TAI were found to be related to one another. Conclusion: The study concludes by arguing that lecturers and facilitators need to pay attention to usage patterns of e-learning systems as they affect how such systems are adopted by their students. Therefore, preceding student acceptance of electronic learning systems should be efforts to address any issues that affect the acceptance and effective utilisation of such systems.


2020 ◽  
Vol 40 (Supplement 2) ◽  
pp. S1-S16
Author(s):  
K Moodley ◽  
P Callaghan ◽  
WJ Fraser ◽  
MA Graham

While a considerable body of research has focused on learners’ acceptance of or resistance to mobile technologies, fewer studies have focused on teachers. This research study aimed to understand the factors influencing South African teachers’ acceptance of or resistance to using mobile technologies in their classroom practice. The Technology Acceptance Model (TAM) was used as a lens to explore factors that enhance mobile technology acceptance. The study consisted of a sequential mixed method, action research approach. Fifteen participants received training at a Mobile Technology workshop, aiming to provide professional development and enhance technological literacy knowledge and skills for teachers. The participants were then tasked to teach with technology and to share and reflect on their experiences and perceptions during the community of practice meetings. Content analysis was used to analyse the transcripts of these meetings and this led to the identification of 2 key factors, which enhanced the teachers’ acceptance of mobile technology, namely, perceived usefulness and perceived ease of use. Six sub-factors affecting acceptance were also identified: anxiety, ability, attitude, facilitating conditions, subjective norm and voluntariness. The factors that were identified suggest that additional professional development, infrastructure and resources need to be provided for teachers. We argue that by providing these necessities and eliminating or significantly reducing these factors, the use of mobile technology will be a success.


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