The willingness to use mobile health technology among gynaecologists: A survey study (original) (raw)
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A Survey Research on the Willingness of Gynecologists to Employ Mobile Health Applications
Computational Intelligence and Neuroscience, 2021
In gynecological care, mHealth (mobile health) technology may play an important role. Medical professionals’ willingness to use this technology is the key to its acceptance. Most doctors utilize mobile health technology; however, there is still room for improvement in the use of mHealth. Gynecologists were asked to participate in this research to see how open they were to use mobile health technologies. In this descriptive-analytical investigation, the researchers determined the average scores for each variable. The overall mean for preparedness to embrace mobile medical technology is 1.8 out of 2, as shown in Table 1. When it came to their desire to embrace mobile health technology, doctors’ years of experience correlated negatively with their age. According to our findings, the amount of interest in mobile health technology is high. Patients’ private information must be protected throughout the usage of this technology though. Mobile health technology may effectively reach patient...
Determinants of Physicians' Technology Acceptance for Mobile Health Services in Healthcare Settings
Journal of Health Management & Information Science, 2018
World Health Organization reports indicated that the image of health care service delivery has changed by application of mobile health and wireless technologies for supporting and achieving the objectives of the health industry. The present study aimed to determine the level of physicians' familiarity and investigate the factors affecting the acceptance of mobile health from the viewpoint of physicians working in educational hospitals of Zahedan University of Medical Sciences. Method: A cross-sectional study was carried out in Zahedan University of Medical Sciences in the southeast of Iran in 2016. The statistical population included all physicians working in five University Teaching Hospitals (n=150). In this study, systematic random sampling was used. A validated questionnaire, prepared based on the variables of Technology Acceptance Model 2 and models, was used for data collection. To analyze the data, we used descriptive and analytical statistics (Confirmatory Factor Analysis, linear and multiple regression). Results: Most of the respondents (112, or 74.4%) were female and 84 of them (56%) were less than 30 years old. All of the physicians (specialist and general physician) used Smartphones. The score of perceived usefulness, behavioral intention, perceived enjoyment, subjective norm, perceived ease of use, image, volunteering, and objective usability constructs were higher than the average baseline, representing the acceptance of mobile phone by them. The relationship of all the constructs with each other towards the attitudinal and behavioral objectives of the mobile health services acceptance was significant (P< 0.05). However, demonstrability construct had no correlation with perceived usefulness (P>0.05). Conclusion: The results of this study provide useful information to health managers and policymakers so that they can take steps to improve the quality of services using modern technologies. Plans can also be made by considering the factors as behavioral acceptance of mobile health and other effective factors to increase the willingness to use it.
Technology Acceptance for Mobile Health Services in Healthcare Settings
2018
Introduction: World Health Organization reports indicated that the image of health care service delivery has changed by application of mobile health and wireless technologies for supporting and achieving the objectives of the health industry. The present study aimed to determine the level of physicians' familiarity and investigate the factors affecting the acceptance of mobile health from the viewpoint of physicians working in educational hospitals of Zahedan University of Medical Sciences. Method: A cross-sectional study was carried out in Zahedan University of Medical Sciences in the southeast of Iran in 2016. The statistical population included all physicians working in five University Teaching Hospitals (n=150). In this study, systematic random sampling was used. A validated questionnaire, prepared based on the variables of Technology Acceptance Model 2 and models, was used for data collection. To analyze the data, we used descriptive and analytical statistics (Confirmatory ...
JMIR mHealth and uHealth, 2014
Background: Despite their increasing popularity, little is known about how users perceive mobile devices such as smartphones and tablet PCs in medical contexts. Available studies are often restricted to evaluating the success of specific interventions and do not adequately cover the users' basic attitudes, for example, their expectations or concerns toward using mobile devices in medical settings. Objective: The objective of the study was to obtain a comprehensive picture, both from the perspective of the patients, as well as the doctors, regarding the use and acceptance of mobile devices within medical contexts in general well as the perceived challenges when introducing the technology. Methods: Doctors working at Hannover Medical School (206/1151, response 17.90%), as well as patients being admitted to this facility (213/279, utilization 76.3%) were surveyed about their acceptance and use of mobile devices in medical settings. Regarding demographics, both samples were representative of the respective study population. GNU R (version 3.1.1) was used for statistical testing. Fisher's exact test, two-sided, alpha=.05 with Monte Carlo approximation, 2000 replicates, was applied to determine dependencies between two variables. Results: The majority of participants already own mobile devices (doctors, 168/206, 81.6%; patients, 110/213, 51.6%). For doctors, use in a professional context does not depend on age (P=.66), professional experience (P=.80), or function (P=.34); gender was a factor (P=.009), and use was more common among male (61/135, 45.2%) than female doctors (17/67, 25%). A correlation between use of mobile devices and age (P=.001) as well as education (P=.002) was seen for patients. Minor differences regarding how mobile devices are perceived in sensitive medical contexts mostly relate to data security, patients are more critical of the devices being used for storing and processing patient data; every fifth patient opposed this, but nevertheless, 4.8% of doctors (10/206) use their devices for this purpose. Both groups voiced only minor concerns about the credibility of the provided content or the technical reliability of the devices. While 8.3% of the doctors (17/206) avoided use during patient contact because they thought patients might be unfamiliar with the devices, (25/213) 11.7% of patients expressed concerns about the technology being too complicated to be used in a health context. Conclusions: Differences in how patients and doctors perceive the use of mobile devices can be attributed to age and level of education; these factors are often mentioned as contributors of the problems with (mobile) technologies. To fully realize the potential of mobile technologies in a health care context, the needs of both the elderly as well as those who are educationally disadvantaged need to be carefully addressed in all strategies relating to mobile technology in a health context.
The Changing Paradigm of Health and Mobile Phones: An Innovation in the Health Care System
2019
This article describes how widespread adoption of mobile technology in healthcare is an innovation that is inevitable today in both developed and emerging markets around the world. Mobile health services (m-Health) act as an effective, accessible and affordable means of providing healthcare knowledge to users directly from providers. Despite such benefits of m-Health services, rapid adoption is not yet occurring, particularly in emerging markets. The main barrier is mostly the cynical behavior of users regarding this medium of healthcare services. The aim of this article is to examine underlying factors that can influence future use intentions of m-Health services. Conceptual model of the study identifies service qualities like reliability, privacy, responsiveness, empathy and information quality along with facilitating conditions, trust, effort expectancy and performance expectancy as significant constructs that influences users' overall perceptions of m-Health services, along ...
Telemedicine and e-Health, 2014
Objectives This study aimed at determining access to mobile phone and willingness to receive mobile phone-based diabetes health services as well as identify associated factors in Northwest Ethiopia. Design An institution-based cross-sectional survey was conducted from February to March 2016. Participants Systematic randomly selected 423 patients with diabetes. setting University of Gondar Hospital diabetic clinic. Main outcome measures The main outcome measure was willingness to receive diabetic health service via mobile phone voice call or messaging services. results Out of 423 patients with diabetes, 329 (77.8%) had access to a mobile phone. Among the latter, 232 (70.5%) were willing to receive mobile phone-based health services. The educational status of patients (adjusted OR (AOR): 2.6 (95% CI: 1.2 to 5.58)), route of medication (AOR: 3.2 (95% CI: 1.44 to 7.1)), transportation mechanism (AOR: 4.1 (95% CI: 1.2 to 13.57)), travel time to health facility (AOR: 0.3 (95% CI: 0.12 to 0.82)), current use of mobile phone as appointment reminder (AOR: 2.6 (95% CI: 1.07 to 6.49)) and locking mobile phone with passwords (AOR: 4.6 (95% CI: 1.63 to 12.95)) were significantly associated with the willingness to receive mobile phone-based diabetic health services. Conclusion Access to a mobile phone and willingness to receive mobile phone-based health services were high. Educational status, route of medication, transportation mechanism, time to reach the service, using mobile phone as appointment reminder and locking mobile phone with passwords were significantly associated factors. Given the high proportion of access and willingness of patients to receive mobile phone-based health services, mHealth interventions could be helpful.
Adoption of Mobile technology by Public Healthcare doctors
International Journal of …, 2009
South African doctors working in the public healthcare sector are faced with the unique resource constraints prevalent in a developing country. Mobile information and communication technologies (ICTs) hold the promise of improving the quality of healthcare, but this potential can only be unlocked if individuals decide to adopt the new technologies. Understanding the factors that influence the doctor's adoption of a technology is therefore vital. This chapter reports on an investigation into the factors influencing the adoption of mobile devices by doctors in the public healthcare sector in the Western Cape, South Africa. The research methodology was shaped by qualitative enquiry and described through thematic analysis. The authors confirmed the key adoption factors identified in prior research: job relevance, usefulness, perceived user resources and device characteristics. However, some additional adoption factors were uncovered in this research, namely patient influence, support structures from national government and hospital administration, and unease in respect of malpractice legal suits. [Article copies are available for purchase from InfoSci-on-Demand.com]
Physicians' acceptance of mobile communication technology: an exploratory study
International Journal of Mobile Communications, 2006
The study aims to contribute to the research on technology acceptance behaviour of professional physicians by extending its theoretical validity and empirical applicability in a new mobile communication technology context. We propose and empirically examine a research model using data collected from 151 physicians working in the healthcare sector in Finland; with the aid from previous research into the adoption of information systems, mainly TAM, UTAUT and PIIT. The results suggest that our proposed model could provide adequate explanations for physicians' intentions to use the mobile system (Nagelkerke R 2 = 0.654). The important determinants of physicians' behavioural intentions in early exposure to the mobile system are: perceived usefulness, the interaction effects of PIIT and age on ease of use, and of age on compatibility. Gender and hands-on experience of the system have different effect on physicians' perceptions of the system. Keywords: adoption of mobile communication technology; physicians; mobile medical information system; behavioural intentions.
The Influence of the Smartphone User’s Characteristics on the Intention to Use of M-Health
IJASOS- International E-journal of Advances in Social Sciences, 2016
M-Health is a new technology which has evolved from the unprecedented spread of mobile technologies as well as advancements in their innovative application to address health priorities. Implementing mobile technology will promote healthcare services with regards to improvement in accessibility, effectiveness, and affordability. This technology is growing rapidly since it was introduced 20 years ago. There are over 7 billion mobile cellular subscribers worldwide and 1.48 million of these are Malaysian subscribers. The penetration of mobile phone networks in Malaysia has transformed the way health services and information are accessed, delivered, and managed. While this technology is still new, there is a scarcity of research material on the acceptance of M-Health in Malaysia.This study proposes and empirically tests the smartphone users' characteristics such as users' sex, age, level of education and health condition as important factors that affected the adoption of new M-Health systems. To fill in this gap, this study is to explore the relationship between the smartphone users' characteristics, with the intention of using M-Health. This study has recruited 80 smartphone users in Sarawak through random sampling using a survey method. Data were analysed using Statistical Package of Social Sciences (SPSS) Version 17, and various statistical techniques were used such as descriptive analysis, T-Test and One-way ANOVA. Findings indicate that there are no significant differences between sex, age, level of education and having health problems were there was an intention to use M-Health. In conclusion, the acceptance of M-Health is not dependent on the users' characteristics, hence it is important for health technologies and mobile companies to handle different aspects in the planning and development of healthcare applications for a market strategy.