eHealth Adoption Research Articles

Adoption and Attitudes of eHealth Among People Living With HIV and Their Physicians: Online Multicenter Questionnaire Study.

BackgroundThe development of electronic health (eHealth) has offered the opportunity for remote care provision. eHealth addresses issues for patients and professionals favoring autonomy and compliance, respectively, while fostering closer links both between patients and health care professionals and among health care professionals themselves.ObjectiveThe aim of this study was to analyze the patterns of use, benefits, and perceived obstacles in eHealth among people living with HIV (PLHIV) and their caring physicians at hospitals.MethodsAn online multicenter observational survey was conducted October 15-19, 2018 in 51 medical units across France by means of self-administered questionnaires to collect sociodemographic and medical data, and perceptions of eHealth. Multiple correspondence analysis followed by mixed unsupervised classification were performed to analyze data of the respondents.ResultsA total of 279 PLHIV and 219 physicians responded to all parts of the questionnaire. Three groups of PLHIV were identified based on multivariate analysis. Group 1 comprised “eHealth believers” (121/279, 43.4%), who were more frequently above 60 years old and more likely to be receiving treatments other than antiretrovirals. Group 2, the “technology skeptics” (86/279, 30.8%), comprised more women with at least one child. Group 3, the “internet adopters” (72/279, 25.8%), were more frequently under 49 years of age, men who have sex with men, and more likely to use mobile apps for obtaining wellness/health information and related subjects. Three groups of physicians also emerged. Group 1 comprised those “strongly confident in eHealth” (95/219, 43.4%), who more frequently used mobile apps for wellness/health information and were more likely to accept prescription assistance software. Group 2 comprised physicians “strongly opposed to eHealth” (80/219, 36.5%), frequently asserting that eHealth challenges confidentiality. Group 3 were “open to eHealth” (44/219, 20.1%), comprising a higher proportion of infectious disease specialists, and were more likely to believe that medical apps are useful for patient education and information. No link was found between the groups of PLHIV and physicians.ConclusionsThe literature on eHealth mainly classifies people as enthusiasts and skeptics; however, we identified a third profile among both PLHIV and physicians, albeit without a direct link between them. For PLHIV, this third group is attentive to eHealth for improving their health condition, and for physicians, this group considers eHealth to offer benefits to patients and their own practice.

EHealth Adoption and its Impact on Life Expectancy : A Comparative Study of Selected BRICS Countries plus TWO

The relationship between eHealth adoption and life expectancy is complex. Research outcomes show different and contradictory results on this relationship. How and why eHealth adoption affect life expectancy is still to a large extent not clear. A causal link between the two is yet to be proven. Without such knowledge, effects of increase or decrease in eHealth adoption on life expectancy may be overestimated or underestimated. This study analyzes the relationship between life expectancy at birth and eHealth adoption in healthcare amongst five selected countries; 3 BRICS countries (China, Russia and South Africa), USA and Ghana, taking into account eHealth foundations, electronic health records, use of health eLearning in health sciences, social media and big data.</p> <p>This cross-sectional study analyzed WHO Global Survey on eHealth data of five selected countries collected between April and August 2015 by calculating and describing the bivariate correlation between the dependent variable and independent variables. A forward linear regression analysis is also applied to determine the predictive capability of the model.</p> <p>A significant negative correlation was observed between total health expenditure and eLearning overview, ICT development index rank and internet users and between life expectancy at birth and social media with coefficients of<em> rs = -0.95, p = .014, rs = -1.00, p < .001 and rs = -0.96, p < .001</em> respectively. Apart from social media indicator of eHealth’s eLearning overview that was significantly correlated with life expectancy at birth, no other correlation was observed between life expectancy at birth and any of the indicators of eHealth. The regression analysis of the predictors show a near perfect result of 100% predictive ability of the model. The study observed that countries that incorporated social media into their eHealth action, through the promotion of health messages on social media as a part of health promotion campaigns, managing patient appointments, sought feedback on services, made general health announcements on social media turn to have citizens that have a significant longer life expectancy. In order to realize high life expectancy of citizens, policy measures have to be directed towards investment in social media incorporation into eHealth strategies.

Integrated Care Programs for People with Multimorbidity in European Countries: eHealth Adoption in Health Systems.

Introduction eHealth applications have the potential to provide new integrated care services to patients with multimorbidity (MM), also supporting multidisciplinary care. The aim of this paper is to explore how widely eHealth tools have been currently adopted in integrated care programs for (older) people with MM in European countries, including benefits and barriers concerning their adoption, according to some basic health system characteristics. Materials and Methods In 2014, in the framework of the ICARE4EU project, expert organizations in 24 European countries identified 101 integrated care programs. Managers of the selected programs completed an online questionnaire on several dimensions, including the use of eHealth. We analyzed data from this questionnaire, in addition to qualitative information from six innovative programs which were studied in depth through case study methodology, according to characteristics of national health systems: a national health model (financing system), overall strength of primary care (PC) (structure/service delivery process), and level of (de)centralization of health system (executive powers in a country). Results 85 programs (out of 101) adopted at least one eHealth tool, and 42 of these targeted explicitly older people. In most cases, Electronic Health Records (EHRs) were used and some benefits emerged like improved care management and integration, although inadequate funding mechanisms represented a major barrier. The analysis by health system characteristics showed a greater adoption of eHealth applications in decentralized countries, in countries with a National Health Service (NHS) model, and in countries with a strong/medium level of PC development. Conclusions Although in the light of some limitations, findings indicate a relation between implementation of care programs using eHealth tools and basic characteristics of health systems, with decentralization of a health system, NHS model, and strong/medium PC having a key role. However adaptations of European health systems seem necessary, in order to provide a more innovative and integrated care.

EHealth Adoption on Patients' Pre-Consultation Waiting Time

Evidence to support widespread adoption of digital health tools in hospitals is still lacking, and proof of their acceptance within the health system is largely missing. This study compared patient's pre-consultation waiting time (time spent at the pay-point, registration, and nursing-station prior to consultation) in two hospitals, one using paper based registration system and the other using an electronic (eHealth) registration system. Structured questionnaires were administered to both patients and health workers to determine and compare factors affecting care delivery wait times and how the use or non-use of eHealth in patient's registration process influence it. In addition, patient wait times were measured in both hospitals at these care points. Overall aggregate waiting time was observed to be longer in Maitama District Hospital (MDH) using the electronic hospital information system. This variance was found to be statistically significant as can be seen (t= 58.405, p=0.024). Inspite of this, wait times at registration and pay-point was significantly lower for MDH.

Developing a Conceptual Framework Suitable for E-Health in War-torn Zones: The Case of Libya Conflict Regions

The myriads of healthcare challenges are no doubt more complex among nations under the siege of war and conflicts, such as the case of Libya. The healthcare systems are mostly overburdened due to escalated cases of injury, poor hygiene and limited number of medical expertise. Libya prior to the civil uprising had depended on foreign medical expertise, and as a result of the uprising these experts were forced to relocate. Series of civil conflict and random attacks has further weakened the health care system in Libya, which is basically the traditional or conventional system. This conventional system of health record management, diagnosis and prescription can easily be damaged or loss in the phase of conflict. Application of ICT in the health sector known as e-health has proffered solutions to most of these challenges through electronic health record management, diagnosis, booking appointments and medical prescriptions. Hence health records can be accessed online and easily on request. While developed countries have since adopted and implemented the e-health system, it is still a relatively new phenomenon in most developing countries like Libya. It is pertinent to know that adoption and successful implementation of e-health requires a thorough assessment of readiness level in terms of the different components and factors affecting e-health system. The study aims to apply knowledge from e-health readiness assessment to the design of a suitable e-health framework for implementing e-health services for the case of conflict zones such as Libya.

Exposure to and attitudes regarding electronic healthcare (e-Health) among physician assistants in Canada: A national survey study.

Physician assistants (PAs) are a growing group of healthcare providers who could facilitate the adoption of electronic healthcare (e-Health) into practice. In 2018, we conducted a Canada-wide web-based survey study of practicing PAs and student PAs regarding their current exposure to e-Health, as well as their perceived value for its use and interest in future adoption. For this study, e-Health was defined as technology that allows direct communication between patients and healthcare providers or facilitates patient self-management for the purpose of assessment and management. We focused on telehealth, direct messaging (e.g. text, email), patient-directed web-based applications (apps) and patient-provider shared web-based apps. Survey responses were analysed descriptively and compared between practicing and student PAs with Chi-square tests of independence. We also examined correlations between age, exposure, perceived value and interest in future adoption for practicing PAs and student PAs separately. About 186 respondents completed the survey; 145 practicing PAs and 39 student PAs. Fewer than half of respondents had exposure to the studied e-Health modalities. Compared to practicing PAs, student PAs more often perceived value in e-Health and expressed interest in its expanded adoption. In both groups, perceived value frequently correlated significantly with interest in adoption. Student PAs report little formal education during their training, and both practicing PAs and student PAs note a need for infrastructure support, and general knowledge about what is available and safe in order to enable them to expand their use of e-Health in practice. The most interest is present for patient-directed apps and patient-provider shared apps. With workload and remuneration barriers to physician adoption of e-Health, salary-based PAs could have a role in facilitating the integration of e-Health solutions into practice. Additional awareness, exposure and support for PAs to do so are required.

General practitioners attitude towards the use of eHealth and online testing in primary care

AimAs people live longer and multimorbidity is common, the workload for general practitioners (GPs) is increasing. eHealth services, like online diagnostic testing, might help to increase efficiency in work processes and decrease the workload. This qualitative study aimed to examine GPs attitude towards and adoption of eHealth in general and online diagnostic testing in specific. MethodsSemi-structured interviews were conducted in 2019 with ten Dutch GPs about eHealth adoption and, specifically, online diagnostic testing. Thematic analysis using Atlas.Ti was done. ResultsAll GPs used eHealth services in their practice, and the majority stated that eHealth made their work more efficient and run more smoothly. eHealth use by their patients was low though and two main barriers were identified by GPs. First, people with a low SES are not frequently using the services and second, the online security measures are often user-unfriendly affecting the number of logins. Seven GPs had positive experiences with online self-testing while three accepted the shift but preferred to deliver the care themselves. Online self-testing for chronic care patients was identified as an interesting future direction by GPs, offering merit and opportunities for both patients and GPs. ConclusionsGPs had positive experiences with eHealth and acknowledged that it can result in an efficient workflow. Usage by patients is, however, relatively low and it will be important for future studies to identify ways to increase usage by addressing existing barriers to use. Exploring the potential of online diagnostic testing for chronic care patients might help to make care delivery future proof.

Barriers and Facilitators to the Implementation of eHealth Services: Systematic Literature Analysis.

BackgroundThe field of eHealth has a history of more than 20 years. During that time, many different eHealth services were developed. However, factors influencing the adoption of such services were seldom the main focus of analyses. For this reason, organizations adopting and implementing eHealth services seem not to be fully aware of the barriers and facilitators influencing the integration of eHealth services into routine care.ObjectiveThe objective of this work is to provide (1) a comprehensive list of relevant barriers to be considered and (2) a list of facilitators or success factors to help in planning and implementing successful eHealth services.MethodsFor this study, a twofold approach was applied. First, we gathered experts’ current opinions on facilitators and barriers in implementing eHealth services via expert discussions at two health informatics conferences held in Europe. Second, we conducted a systematic literature analysis concerning the barriers and facilitators for the implementation of eHealth services. Finally, we merged the results of the expert discussions with those of the systematic literature analysis.ResultsBoth expert discussions (23 and 10 experts, respectively) identified 15 barriers and 31 facilitators, whereas 76 barriers and 268 facilitators were found in 38 of the initial 56 articles published from 12 different countries. For the analyzed publications, the count of distinct barriers reported ranged from 0 to 40 (mean 10.24, SD 8.87, median 8). Likewise, between 0 and 48 facilitators were mentioned in the literature (mean 9.18, SD 9.33, median 6). The combination of both sources resulted in 77 barriers and 292 facilitators for the adoption and implementation of eHealth services.ConclusionsThis work contributes a comprehensive list of barriers and facilitators for the implementation and adoption of eHealth services. Addressing barriers early, and leveraging facilitators during the implementation, can help create eHealth services that better meet the needs of users and provide higher benefits for patients and caregivers.

GPs' perspectives on eHealth use in the Czech Republic: a cross-sectional mixed-design survey study.

BackgroundDigitalisation of health services is among the top priorities of the European Union (EU), yet take-up of eHealth tools is slower in some EU countries than others.AimThe aim of this study was to evaluate the use of information communication technology (ICT) and eHealth tools by Czech GPs, to elucidate their motivation and barriers to the adoption of eHealth technologies.Design & settingA cross-sectional, mixed-design survey study, administered online and conducted with GPs from seven randomly selected Czech regions. Of the invited 777 GPs, 196 participants responded (25% response rate) and 153 completed the survey.MethodQuantitative (measured using, for example, the eHealth readiness scale) and qualitative (thematic analysis) methods were used.ResultsHierarchical multilinear regression (controling for age, sex, and city size) showed that ICT usage in general practice was predicted by eHealth readiness. Among GPs with their own practice, age and practice size also predicted ICT use. Analysis of barriers specific to mobile health tools identified obstacles on the side of GPs (such as low perceived usefulness), patients (such as lack of interest), and contextual barriers (such as lack of time).ConclusionIn addition to system-level change, educating Czech GPs about the benefits of eHealth tools for better patient–provider interaction and quality of care is necessary to facilitate eHealth adoption and usage in the Czech Republic.

Investigating Factors Impelling the Adoption of e-Health: A Perspective of African Expats in China

The purpose of the study was to analyze the factors affecting the acceptance and adoption of e-Health applications among African expats in China from the patient’s perspective. This research used extended technology acceptance model (TAM) with the addition of privacy and trust. The survey method with the structured questionnaire was used to collect data from more than 300 African expats in three Tier 1 cities of China. Hypotheses were tested using partial least squares (PLS) method, a structural equation modeling (SEM) based statistical technique. The results show that perceived usefulness, perceived ease of use (PEU), and privacy have significant effects on intention to use (INT) e-Health technologies. Moreover, PEU endorses positive impact on perceived usefulness. The results also revealed that gender was partially associated with the acceptance and use of e-Health technologies. However, surprisingly, trust had an insignificant effect on INT of e-Health. The results of the current research provide the foundation for the development of policies and strategies for the enhancement of e-Health services to African expats in China. Moreover, the acceptance model of current study can be modified easily because of its generic approach for the investigation of adoption of e-Health services among other developing countries’ expats in China.

E-Health Adoption Gaps in the Decision-Making Process

This paper provides a statistical analysis of the complex decision-making process related to the adoption of eHealth. The analysis refers to the state of information and communication technology (ICT) adoption in the field of health under the perspective of the disparities within the European Union countries, Iceland and Norway. For this research, a composite index was developed for a multi-criteria evaluation of existing inequalities in the quality of life, public health system, and adoption of eHealth. The relative distance method was applied by combining different classification criteria, and returning a hierarchy of the European countries. Then, the disparities were considered based on the status of eHealth adoption, ranking the countries based on life quality and public health system. Results highlight that Romania, along with Latvia, Poland or Bulgaria, are characterised by the lowest level of public health efficiency, due to reduced health expenditures and a healthcare system self-assessed as unsatisfactory by a large proportion of the population. These results have essential implications in the public policies considered in order to reduce the existing gap towards the European average. In addition, a series of challenges are addressed in the direction of preventive strategies, in order to respond to the current pressures of the health systems.

Reflections on the design, implementation, and adoption of a gamified eHealth application in youth mental healthcare

We designed and implemented a gamified eHealth application for youth mental healthcare, to study how game design techniques could be applied within this context. This resulted in the design of a gamified mobile application aimed at supporting therapeutic goal setting: the ReadySetGoals game. The design process itself involved four key stages: (1) Identifying the transfer effect to be aimed-for, (2) Exploring the user context, (3) Designing the gamification, and (4) Evaluating the gamification. Following a preliminary evaluation, we applied a final design iteration to the app that was implemented in therapeutic practice. However, fewer therapists than expected used the app when given the opportunity and information. In a series of qualitative interviews, we investigated their reasons for not using it. Analysis of the results generated three themes that inhibit eHealth adoption: (1) Fittingness of gamification with individual users, (2) Fittingness of eHealth with face-to-face practice, (3) Distortion of therapeutic alliance by eHealth and gamification. Based on these outcomes and our design process we identified the following three recommendations to enhance implementation and adoption of eHealth in mental healthcare: (1) Align expectations of stakeholders through framing (2) Integrate therapeutic aspects in gamification, and (3) Focus on personalisation.

Cultivating eHealth evaluation leadership.

This article discusses eHealth evaluation leadership in terms of the need, key characteristics, and means to cultivate this leadership. It is well known that health leaders with technical informatics skills and prior eHealth adoption experience are more likely to commit to a long-term eHealth vision, are highly motivated, and can navigate through complex adoption issues. However, much less attention is paid to leadership when it comes to electronic health evaluation. The aim here is to engage the eHealth and broader health leadership communities in a dialogue about eHealth evaluation leadership in terms of its importance, the issues involved, and ways to build capacity in Canada and abroad.

Current State of ICT in Healthcare Delivery in Developing Countries

Electronic health is one of the most popular applications of information and communication technologies and it has contributed immensely to health delivery through the provision of quality health service and ubiquitous access at a lower cost. Even though this mode of health service is increasingly becoming known or used in developing nations, these countries are faced with a myriad of challenges when implementing and deploying e-health services on both small and large scale. It is estimated that the Africa population alone carries the highest percentage of the world’s global diseases despite its certain level of e-health adoption. This paper aims at analyzing the progress so far and the current state of e-health in developing countries particularly Africa and propose a framework for further improvement.

Can Bahraini patients accept e-health systems?

The purpose of this paper is to examine whether Bahraini individuals accept e-health system and the prominent factors affecting e-health system adoption in Bahrain. The authors adopted a quantitative and qualitative approach, i.e., a self-administered questionnaire, unstructured and a semi-structured interview, which were used to collect the data. A questionnaire was distributed to Bahraini residents selected randomly. The framework was based on the technology acceptance model (TAM) and theory of reasoned action (TRA). Important variables from both the TAM model and TRA theory were extracted and jointly used to build the research model. The findings indicated that the most factors affecting e-health adoption are trust, health literacy and attitude. Additionally, people in the private and government sectors understand e-health benefits. If healthcare professionals understand the factors affecting e-health system adoption from an individual and organisational perspective, then nurses, pharmacists and others will be more conscious about e-health and its adoption status. E-health system adoption has become increasingly important to governments, individuals, and researchers in recent years. A novel research framework, based on TAM and TRA, was used to produce a new integrated model.

EHealth adoption and use among healthcare professionals in a tertiary hospital in Sub-Saharan Africa: a Qmethodology study.

BackgroundThe aim of the study was to explore the viewpoints of healthcare professionals (HCPs) on the adoption and use of eHealth in clinical practice in sub-Saharan Africa (SSA). Information and communication technologies (ICTs) including eHealth provide HCPs the opportunity to provide quality healthcare to their patients while also improving their own clinical practices. Despite this, previous research has identified these technologies have their associated challenges when adopting them for clinical practice. But more research is needed to identify how these eHealth resources influence clinical practice. In addition, there is still little information about adoption and use of these technologies by HCPs inclinical practice in Sub-Saharan Africa.MethodAn exploratory descriptive design was adopted for this study. Thirty-six (36) HCPs (18 nurses and 18 physicians) working in the clinical area in a tertiary health institution in SSA participated in this study. Using Qmethodology, study participants rank-ordered forty-six statementsin relation to their adoption and use of eHealth within their clinical practice.This was analysed using by-person factor analysis and complemented with audio-taped interviews.ResultsThe analysis yielded four factors i.e., distinct viewpoints the HCPs hold about adoption and use of eHealth within their clinical practice. These factors include: “Patient-focused eHealth advocates” who use the eHealth because they are motivated by patients and their families preferences; “Task-focused eHealth advocates” use eHealth because it helps them complete clinical tasks; “Traditionalistic-pragmatists” recognise contributions eHealth makes in clinical practice but separate from their routine clinical activities; and the “Tech-focused eHealth advocates” who use the eHealth because they are motivated by the technology itself.ConclusionThe study shows the equivocal viewpoints that HCPs have about eHealth within their clinical practice. This, in addition to adding to existing literature, will help policymakers/decision makers to consider HCPs views about these technologies prior to implementing an eHealth resource.

Factors Influencing Rural End-Users' Acceptance of e-Health in Developing Countries: A study on Portable Health Clinic in Bangladesh.

Background: Existing studies regarding e-health are mostly focused on information technology design and implementation, system architecture and infrastructure, and its importance in public health with ancillaries and barriers to mass adoption. However, not enough studies have been conducted to assess the end-users' reaction and acceptance behavior toward e-health, especially from the perspective of rural communities in developing countries.Objective: The objective of this study is to explore the factors that influence rural end users' acceptance of e-health in Bangladesh.Methods: Data were collected between June and July 2016 through a field survey with structured questionnaire form 292 randomly selected rural respondents from Bheramara subdistrict, Bangladesh. Technology Acceptance Model was adopted as the research framework. Logistic regression analysis was performed to test the theoretical model.Results: The study found social reference as the most significantly influential variable (Coef. = 2.28, odds ratio [OR] = 9.73, p < 0.01) followed by advertisement (Coef. = 1.94, OR = 6.94, p < 0.01); attitude toward the system (Coef. = 1.52, OR = 4.56, p < 0.01); access to cellphone (Coef. = 1.37, OR = 3.92, p < 0.05), and perceived system effectiveness (Coef. = 0.74, OR = 2.10, p < 0.01). Among demographic variables, age, gender, and education were found significant while we did not find any significant impact of respondents' monthly family expenditure on their e-health acceptance behavior. The model explains 54.70% deviance (R2 = 0.5470) in the response variable with its constructs. The “Hosmer-Lemeshow” goodness-of-fit score (0.539) is also above the standard threshold (0.05), which indicates that the data fit well with the model.Conclusion: The study provides guidelines for the successful adoption of e-health among rural communities in developing countries. This also creates an opportunity for e-health technology developers and service providers to have a better understanding of their end users.

EHealth and telemedicine: Practices and beliefs among healthcare professionals and medical students at a medical university.

Digitalization affects almost every aspect of modern daily life including healthcare delivery. Successful adoption and sustainable integration of information technology-based eHealth and telemedicine concepts in clinical practice depend on constant evaluation of end user needs, proficiencies, and preferences. We therefore assessed how current and future healthcare professionals perceived health technology solutions and whether their perceptions differed. We conducted an online survey among a purposive sample of employees and students at the Medical University of Vienna, Austria. The structured questionnaire collected self-reported practices and beliefs in the context of eHealth and telemedicine among 905 participants (59.0% females), of which 48.4% were employees and 51.6% were students. Participants expressed moderate knowledge of eHealth and telemedicine concepts with higher levels among employees compared to students (both: p<0.05). Compared to employees, students were less convinced that online health information improves patient knowledge (p<0.001), but were more optimistic that telemedicine reduces healthcare costs (p<0.05). Participants doubted that telemedicine services would enhance the doctor-patient relationship and raised concerns regarding data security and privacy issues. Accordingly, quantitative context analysis of free text comments revealed that the four most frequently mentioned themes were related to issues concerning data privacy and security, questions of responsibility, doctor-patient interaction, and reliability of information. This study provides valuable insights into how current and future healthcare professionals differ in their perceptions regarding eHealth and telemedicine. These findings raise awareness of the need to bridge the gap between digital age groups and professional groups, especially in clinical healthcare delivery in a clocked-through, strenuous academic setting as found at a medical university.

Factors influencing adoption of eHealth technologies in Ghana.

This study covers factors influencing the adoption of electronic health (eHealth) technologies in Ghana. The study was designed as a quantitative survey with questionnaire as the main method of data gathering. A total of 1640 questionnaires were administered to users and potential users of eHealth technologies in both public and private healthcare centres in Ghana. The study concludes that institutional characteristics and healthcare manager characteristics have a high influence on eHealth adoption. However, factors related to performance expectancy and effort expectancy only have low influence on the adoption of eHealth devices and systems. Accordingly, the study makes recommendations to policymakers for improving eHealth adoption in the health sector.

Patient Acceptance of e-Health Services in Saudi Arabia: An Integrative Perspective.

Background: e-Health has been expansively considered as a technological intervention for fundamental enhancement in the healthcare sector to mitigate the enormous demand and supply of healthcare in both developed and developing nations. In 2000, the Saudi government established a committee for health reform to develop an information technology strategic plan for healthcare and for deploying e-health applications within the country. The objective of e-health systems was to provide better healthcare to patients and to increase the efficiency of healthcare organizations. Despite numerous e-health interventions to provide healthcare services, very little is studied about the adoption process of e-health from users' viewpoints in Saudi Arabia. This study minimizes this knowledge gap by studying the factors affecting the adoption and acceptance of e-health in the context of Saudi Arabia.Materials and Methods: This study has combined theTechnology Acceptance Model and Theory of Planned Behavior frameworks to evaluate the factors influencing the patient acceptance of e-health services in Saudi Arabia. Data were collected from patients at various private and public hospitals in Saudi Arabia. The partial least square technique based on structural equation modeling was applied to analyze the survey data.Results: The study shows the significant influence of perceived usefulness and perceived ease of use on the attitude. Furthermore, attitude and subjective norm (p < 0.05) significantly influence patient behavioral intention (BI) to use e-health services. However, perceived behavioral control (p > 0.05) had no significant influence on patient BI to use e-health services.Conclusions: The findings of this study might be useful to policymakers, the government, and healthcare service providers in Saudi Arabia and other developing countries.