Towards reinforcing telemedicine adoption amongst clinicians in Nigeria

The Role of Sustainability in Telemedicine Services: The Case of the Greek National Telemedicine Network

Background: Sustainability in healthcare has gained increasing importance due to its impact on environmental, financial, and social strategies, as well as on public health, and therefore, relevant policies and actions can also play a significant role in telemedicine services. The establishment of a sustainable telemedicine network at a country level is important to improve access to healthcare, reduce costs, increase convenience, and ensure the continuity of service delivery. However, there are significant environmental, social, technological, human, and governance challenges to meet the sustainability conditions for these networks. Methods: Thus, a narrative literature review was conducted to investigate the telemedicine implementation aspects and the sustainability dimensions in a unified approach and integrated strategy in order to develop a more resilient and equitable healthcare solution, ensuring its long-term integration into healthcare systems. Results: This paper aims to identify critical factors related to the proposed governance model for the National Telemedicine Network in Greece (EDIT) that influence sustainability requirements and interdisciplinary strategies to address relevant challenges. Conclusions: By examining these factors, the paper seeks to propose the fundamental pillars of a sustainable telemedicine framework and the methodology for developing a sustainability plan that will enhance EDIT's capacities toward a sustainable and resilient operation of telemedicine as a standard practice within the Greek healthcare system.

Telemedicine Adoption and Prospects in Sub-Sahara Africa: A Systematic Review with a Focus on South Africa, Kenya, and Nigeria

Background/Objectives: Telemedicine has emerged as a transformative solution to healthcare access challenges in Sub-Saharan Africa, where many populations remain underserved. This systematic review focuses on the adoption, implementation, and technological prospects of telemedicine in South Africa, Kenya, and Nigeria, three countries leading the region in healthcare innovations. Methods: A systematic search of PubMed, Scopus, and Web of Science, guided by PRISMA protocols, identified 567 studies published between 2014 and 2024, of which 53 met the inclusion criteria with a focus on telemedicine adoption, implementation, and technological prospects in the selected countries. A structured critical appraisal was used to assess potential biases in the included studies' design, selection criteria, and reporting, while findings were thematically analysed to provide actionable and comparative insights. Results: The findings reveal that South Africa has the highest adoption rate, focusing on specialist teleconsultations, chronic disease management, and mental health services. Kenya demonstrates strong mHealth integration and advanced mobile applications, particularly in maternal health, HIV care, and sexual and reproductive health. While facing infrastructural and regulatory constraints, Nigeria is advancing innovations for remote diagnosis and teleconsultation. Conclusions: By synthesising evidence from peer-reviewed literature, the review identifies adoption trends, enabling factors, and opportunities for scaling telemedicine in these contexts. Despite these advancements, challenges persist, including regulatory gaps, digital literacy limitations, and infrastructure constraints. Addressing these barriers requires targeted investments in broadband expansion, policy harmonisation, and healthcare workforce training to optimise telemedicine's impact and ensure its sustainability as a healthcare delivery model in Sub-Saharan Africa.

Acceptance of artificial intelligence clinical assistant decision support system to prevent and control venous thromboembolism among healthcare workers: an extend Unified Theory of Acceptance and Use of Technology Model

Background

Venous thromboembolism (VTE) is an important global health problem and the third most prevalent cardiovascular disorder. It has been proven that computerized tools were helpful in the prevention and control of VTE. However, studies that focused on the acceptance of computerized tools for VTE prevention among healthcare workers were limited.

Objective

This study aims to explore what factors are influencing healthcare workers' acceptance of the Artificial Intelligence Clinical Assistant Decision Support System (AI-CDSS) for VTE prevention based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT).

Methods

We conducted a cross-sectional survey among healthcare workers in three grade-A tertiary hospitals in Shanxi, China. Statistically, the hypothesized model was evaluated by AMOS structural equation modeling.

Results

510 (72.86%) valid surveys were collected in total. The results showed that performance expectancy (β = 0.45, P < 0.001), effort expectancy (β = 0.21, P < 0.001), and top management support (β = 0.30, P < 0.001) positively influenced healthcare workers' intention. Top management support was an antecedent of performance expectancy (β = 0.41 , P < 0.001), social influence (β = 0.57, P < 0.001), effort expectancy (β = 0.61, P < 0.001), and information quality (β = 0.59, P < 0.001). In addition, Social influence positively influenced performance expectancy (β = 0.52, P < 0.001), and information quality positively influenced system quality (β = 0.65, P < 0.001). Social influence did not influence nurses' behavioral intention (β = 0.06, p = 0.376), but negatively influenced clinicians' behavioral intention in the model (β = -0.19, P < 0.001). System quality positively influenced nurses' behavioral intention; (β = 0.16, P < 0.001), and information quality positively influenced clinicians' behavioral intention (β = 0.15, p = 0.025).

Conclusion

With this model explaining 76.3% variance of the behavioral intention variable, this study could be useful as a reference for hospital administrators to evaluate future developments and facilitate the implementation of AI-CDSS for VTE prevention.

Attitudes of nurses toward telenursing and influencing factors in resource-limited settings: Northwest Ethiopia 2022

Background

The worldwide scarcity of nurses is a pressing concern, with the World Health Organization predicting a deficit of 5.9 million nurses globally by 2025. Notably, 89% of this shortage is expected to impact low- and middle-income countries. To address the growing demand for nursing professionals, the concept of telenursing care is being considered. However, there is limited evidence regarding nurses' attitudes towards telenursing care in Ethiopia. This study aims to understand how nurses feel about telenursing care and the factors related to it at a specialized teaching referral hospital in northwest Ethiopia.

Method

We conducted a cross-sectional study at a specialized teaching referral hospital, employing a simple random sampling technique to gather information from 423 nurses. The study took place from July 28 to December 19, 2022/23. Descriptive statistics, including tables and bar graphs, were utilized. Additionally, a binary logistic regression analysis was conducted with 95% confidence intervals and a significance level of P < 0.05 to identify factors influencing nurses' attitudes toward telenursing.

Result

Out of the total 416 nurses who responded, representing a response rate of 98.35%, 39.7% exhibited favorable attitudes towards telenursing care. Factors associated with nurses' attitudes included awareness, source of information, social media use, knowledge, computer access, digital training, internet access, and computer training.

Conclusions

The findings indicate a low level of positive attitudes towards telenursing care among nurses. To enhance future acceptance, use, and implementation, policymakers, higher education institutions, and other stakeholders should collaborate to improve nurses' attitudes toward telenursing care, taking into consideration various factors and user preferences.

Factors Impacting the Adoption and Potential Reimbursement of a Virtual Reality Tool for Pain Management in Switzerland: Qualitative Case Study

Background

Pain and its adequate treatment are an issue in hospitals and emergency departments (EDs). A virtual reality (VR) tool to manage pain could act as a valuable complement to common pharmaceutical analgesics. While efficacy could be shown in previous studies, this does not assure clinical adoption in EDs.

Objective

The main aim of this study was to investigate which factors affect the adoption and potential reimbursement of a VR tool for pain management in the ED of a Swiss university hospital.

Methods

Key informant interviews were conducted using in-depth semistructured interviews with 11 participants reflecting the perspectives of all the relevant stakeholder groups, including physicians, nurses, patients, health technology providers, and health insurance and reimbursement experts. The interviews were recorded and transcribed, and the extracted data were systematically analyzed using a thematic analysis and narrative synthesis of emergent themes. A consolidated framework for eHealth adoption was used to enable a systematic investigation of the topic and help determine which adoption factors are considered as facilitators or barriers or as not particularly relevant for the tool subject of this study.

Results

According to the participants, the three key facilitators are (1) organizational environment; (2) tension for change, ease of use, and demonstrability; and (3) employee engagement. Further, the three key barriers to adoption are (1) workload, (2) changes in clinical workflow and habit, and (3) reimbursement.

Conclusions

This study concludes that the adoption of a VR tool for pain management in the ED of the hospital subject of this study, although benefiting from a high tension for change in pain and workload management, is highly dependent on the respective organizational environment, engagement of the clinical staff, and reimbursement considerations. While tailored incentive structures and ambassador roles could benefit initial adoption, a change in the reimbursement landscape and further investigation of the positive effects on workflow effectiveness are required to drive long-term adoption.

Investigating Physicians' Adoption of Telemedicine in Romania Using Technology Acceptance Model (TAM)

This study investigates Romanian physicians' acceptance of telemedicine using the Technology Acceptance Model. We analyzed 1093 responses to an online survey distributed nationwide to physicians via email by the National Authority of Quality Management in Health, employing the partial least squares algorithm to estimate the relationship between the behavioral intention to adopt telemedicine and its potential determinants. Our findings reveal that the model accounts for 84.6% of the variance in behavioral intention to use telemedicine. Among the two constructs of the TAM model, perceived usefulness is a stronger predictor of behavioral intention than perceived ease of use. Additionally, subjective norms positively and significantly influence physicians' intention to use telemedicine and their perception of its usefulness. Furthermore, perceived incentives and accessibility to medical records also positively impact the behavioral intention to use telemedicine.

Telemedicine Service Adoption During the COVID-19 Pandemic: Physicians' Experience from Nigeria

Introduction: Telemedicine practice experiences during the COVID-19 pandemic have not been well documented in resource-constrained settings, such as Nigeria. We set out to assess knowledge, attitude, and factors associated with telemedicine practice during the COVID-19 lockdown, as well as physician experiences in Kano, Nigeria. Methods: We employed a mixed-methods approach, utilizing structured questionnaires administered to 246 physicians, followed by in-depth interviews with a purposive subsample of 20 individuals. The data were analyzed using logistic regression and the framework approach. Results: Overall, 65.0% of the respondents demonstrated moderate to good knowledge of telemedicine. Before COVID, only 47.6% (n = 117) reported practicing telemedicine, compared with 77.2% (n = 190) during the COVID lockdown (p < 0.05). Factors associated with telemedicine practice included having at least 5 years of work experience, working in pediatrics, undergoing senior residency training, receiving formal telemedicine training, possessing good knowledge of telemedicine, and having a positive attitude toward it. The odds of engaging in telemedicine practice were four times higher (adjusted odds ratio = 4.10, 95% confidence interval: 1.79-9.40) for those who practiced it before the pandemic. Challenges identified included knowledge and skill gaps, slow internet connectivity, unstable electricity, and inadequate equipment. Conclusion: To enhance telemedicine practice in resource-limited settings, it is important to focus on strengthening information and communication infrastructure, providing comprehensive clinician training, implementing careful patient selection processes, and improving practice guidelines.

Survey of Teleneurology Use by Neurologists in a Low-Middle Income Country

Background Teleneurology has been in existence for decades, and the COVID-19 pandemic has escalated its widespread usage. Neurological conditions are a leading cause of death globally, with sub-Saharan Africa bearing the bulk of the burden. Nigeria has few trained neurologists with the few available concentrated in an urban region. The adoption of teleneurology will help close this treatment gap. Despite evidence of its advantage, the adoption and state of teleneurology in Nigeria are very low. This study aims to determine the state and perception of teleneurology in the care of neurological patients in Nigeria and identify challenges to its wide usage. Methods The primary research method was a descriptive cross-sectional survey among 48 neurologists in Nigeria across the six geo-political zones of the country. Descriptive statistics such as frequency and percentage were used to summarize and present the results. Results A total of 48 neurologists participated, of which 46 (95.8%) specialized in general neurology. Videoconferencing is the most preferred means of telemedicine (24, 50%), followed by phone calls (16, 33.3%) and short messages (6, 12.5%). Three-quarters of the respondents are concerned about legal actions from telemedicine use. The majority (34, 70.9%) are not familiar with telemedicine tools, and 40 (83.3%) indicate low telemedicine seminar attendance. More than 90% (46) of neurologists believe that it is a viable approach and can save time and money. Barriers to telemedicine included the lack of incentive to use the technology (38, 79.2%), poor Internet connectivity (36, 75%), and the lack of exposure to telemedicine (36, 75%). Conclusions It is important to overcome the existing barrier to teleneurology in order to fully harness its potential in addressing the shortage of health professionals in Nigeria as most neurologists are open to using it.

Predicting the employment of teledentistry in clinical practice by the Saudi dental community using a theoretical model

Introduction

There are very few scholastic studies applying a theory-driven methodology to analyse the employment of teledentistry in clinical practice by the Saudi dental community. The objective of this research was to predict the employment of teledentistry in clinical practice by the Saudi dental community using the UTAUT (Unified Theory of Acceptance and Use of Technology) model.

Methods

A countrywide survey was executed from November 2022 to April 2023 among the dental community (pre-graduate students, graduates, post-graduate students, general dentists, and specialist dentists) involved in clinical practice. The survey employed the UTAUT model, which has four fundamental constructs: performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC). These constructs are known to impact the user's behavioural intention (BI). The four fundamental constructs were independent, and BI was the dependent variable. A Likert scale with five scores was used to record each variable. Descriptive statistics were used to describe all the constructs. Cronbach's alpha scores were used to measure the inner consistency of the Likert scale. Simple linear regression and multiple linear regression were used to determine the correlation between all the constructs and the overall model's prediction. The Statistical Package for the Social Sciences was applied for analysis. The study had 80% power and an alpha threshold of .05.

Results

The electronic survey was sent to 3000 participants, out of whom 2143 responded (response rate = 71.43%). PE (R2= 26%, p < .01) was the most significant predictor of the Saudi dental community BI to employ teledentistry in clinical practice, followed by SI (R2= 24%, p < .01), EE (R2= 19%, p < .01) and FC (R2= 6%, p < .01). With statistically significant predictive power, the UTAUT model explained 32% of the variance in the BI (R2= 0.32, p < .01).

Conclusions

Each UTAUT construct and the entire model were significantly correlated with the employment of teledentistry in clinical practice by the Saudi dental community. PE had the most salient correlation, followed by SI, EE and FC. The participants have perceived the benefits of teledentistry, increasing the future likelihood of its utilisation. The Saudi government could consider the UTAUT constructs to promote teledentistry in tandem with Vision 2030.

Factors influencing telemedicine adoption among physicians in the Malaysian healthcare system: A revisit

Background

The Malaysian healthcare system is under strain due to an aging population, the rising prevalence of chronic diseases, and heavy workloads among physicians. As costs and requirements continue to rise, telemedicine is critical for bridging gaps in supply and demand. However, there are limited studies on telemedicine adoption among Malaysian physicians. Furthermore, the existing literature on telemedicine adoption does not contain a comprehensive framework that integrates the multidimensional social influence, and technological, clinical, and individual factors.

Objective

This research investigates the adoption of telemedicine among Malaysian physicians. It draws from the Technology Acceptance Model (TAM) and Kelman's Social Influence Theory.

Methods

A survey was conducted among 230 participants in hospitals located in Kuala Lumpur and Selangor. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).

Results

The study identified crucial factors influencing telemedicine adoption, including informational influences, rewards, perceived ease of use, and usefulness. Meanwhile, the Importance-performance Map Analysis (IPMA) identified perceived ease of use as the most important factor for physicians, but the highest performance was patient's records.

Conclusions

The proposed integrated model enhances the understanding of telemedicine adoption and highlights the differential effects of individual, technological, clinical, and multidimensional social influence factors from the physicians' perspective. The findings can guide future studies and influence implementation strategies for telemedicine promotion in the Malaysian healthcare context. Hospitals should prioritize user-friendly technology and information provision, while telemedicine providers should enhance the accessibility of patient records to facilitate telemedicine adoption. Policymakers should consider supporting training programs that will boost physicians' confidence in effectively utilizing telemedicine.

Evaluating the impact of an information-based education and training platform on the incidence, severity, and coping resources status of workplace violence among nurses: a quasi-experimental study

BACKGROUND

Workplace violence among nurses has emerged as a critical issue, posing a significant threat to their occupational safety. Education and training are the primary measures employed to prevent and respond to workplace violence. However, the current approaches have proven ineffective, possibly due to a lack of consideration for the specific needs of clinical nurses. Therefore, it is essential to explore the effectiveness of an informational education and training platform tailored to nurses' requirements. This study aimed to investigate the impact of such a platform on the incidence, severity, and coping resources of WPV in nurses.

METHODS

This research was a quasi-experimental study. An information-based education and training platform focused on nurse workplace violence was developed through literature reviews, expert meetings, consultations with software development companies, and a trial run. A tertiary general hospital in Suzhou was selected, in which hospital district A was the intervention group and hospital district B was the control group. A total of 276 nurses were recruited, 140 in the intervention group and 136 in the control group. The nurses' incidence, severity, coping resources status, and evaluation of the application were measured before the intervention and at 1, 3, and 6 months after the intervention.

RESULTS

The overall incidence of workplace violence, verbal aggression, and verbal threat among nurses showed statistically significant differences (P < 0.05) for the time effect, while the incidence of physical aggression demonstrated statistically significant differences (P < 0.05) for the between-group effect and the time effect. The severity of physical violence among nurses exhibited statistically significant differences (P < 0.05) for the between-group effect and time effect, and the severity of psychological violence showed statistically significant differences (P < 0.05) for the time effect. Nurses' total coping resources score and dimensions also showed statistically significant differences in terms of group, time, and interaction effects (P < 0.001). The evaluation questionnaire for the mobile application indicated usefulness scores of 2 (1, 2); ease of learning scores of 2 (1, 2); ease of use scores of 2 (1, 2); trust scores of 2 (1, 2.75); acceptance score of 1 (1, 2); and satisfaction scores of 2 (1, 2).

CONCLUSIONS

Implementing the nurse workplace violence information-based education and training platform proved beneficial in reducing the incidence and severity of workplace violence among nurses and enhancing their coping resources. This outcome suggested the platform's potential for further application and promotion in clinical settings.

Examining supporting and constraining factors of physicians' acceptance of telemedical online consultations: a survey study

As healthcare demands exceed outpatient physicians' capacities, telemedicine holds far-reaching potential for both physicians and patients. It is crucial to holistically analyze physicians' acceptance of telemedical applications, such as online consultations. This study seeks to identify supporting and constraining factors that influence outpatient physicians' acceptance of telemedicine.We develop a model based on the unified theory of acceptance and use of technology (UTAUT). To empirically examine our research model, we conducted a survey among German physicians (n = 127) in 2018-2019. We used the partial least squares (PLS) modeling approach to test our model, including a mediation analysis. The results indicate that performance expectancy (β = .397, P < .001), effort expectancy (β = .134, P = .03), and social influence (β = .337, P < .001) strongly impact the intention to conduct online consultations and explain 55% of its variance. Structural conditions regarding data security comprise a key antecedent, associating with performance expectancy (β = .193, P < .001) and effort expectancy (β = .295, P < .001). Regarding potential barriers to usage intentions, we find that IT anxiety predicts performance (β = -.342, P < .001) and effort expectancy (β = -.364, P < .001), while performance expectancy fully mediates (βdirect = .022, P = .71; βindirect = -.138, P < .001) the direct relationship between IT anxiety and the intention to use telemedical applications.This research provides explanations for physicians' behavioral intention to use online consultations, underlining UTAUT's applicability in healthcare contexts. To boost acceptance, social influences, such as personal connections and networking are vital, as colleagues can serve as multipliers to reach convergence on online consultations among peers. To overcome physicians' IT anxiety, training, demonstrations, knowledge sharing, and management incentives are recommended. Furthermore, regulations and standards to build trust in the compliance of online consultations with data protection guidelines need reinforcement from policymakers and hospital management alike.

Investigating Factors Influencing Medical Practitioners' Resistance to and Adoption of Internet Hospitals in China: Mixed Methods Study

BACKGROUND

The swift shift toward internet hospitals has relied on the willingness of medical practitioners to embrace new systems and workflows. Low engagement or acceptance by medical practitioners leads to difficulties in patient access. However, few investigations have focused on barriers and facilitators of adoption of internet hospitals from the perspective of medical practitioners.

OBJECTIVE

This study aims to identify both enabling and inhibiting predictors associated with resistance and behavioral intentions of medical practitioners to use internet hospitals by combining the conservation of resources theory with the Unified Theory of Acceptance and Use of Technology and technostress framework.

METHODS

A mixed methods research design was conducted to qualitatively identify the factors that enable and inhibit resistance and behavioral intention to use internet hospitals, followed by a quantitative survey-based study that empirically tested the effects of the identified factors. The qualitative phase involved conducting in-depth interviews with 16 experts in China from June to August 2022. Thematic analysis was performed using the qualitative data analysis software NVivo version 10 (QSR International). On the basis of the findings and conceptual framework gained from the qualitative interviews, a cross-sectional, anonymous, web-based survey of 593 medical practitioners in 28 provincial administrative regions of China was conducted. The data collected were analyzed using the partial least squares method, with the assistance of SPSS 27.0 (IBM Corp) and Mplus 7.0 (Muthen and Muthen), to measure and validate the proposed model.

RESULTS

On the basis of qualitative results, this study identified 4 facilitators and inhibitors, namely performance expectancy, social influence, work overload, and role ambiguity. Of the 593 medical practitioners surveyed in the quantitative research, most were female (n=364, 61.4%), had a middle title (n=211, 35.6%) or primary title (n=212, 35.8%), and had an average use experience of 6 months every year. By conducting structural equation modeling, we found that performance expectancy (β=-.55; P<.001) and work overload (β=.16; P=.005) had the most significant impact on resistance to change. Resistance to change fully mediated the influence of performance expectancy and partially mediated the influences of social influence (variance accounted for [VAF]=43.3%; P=.002), work overload (VAF=37.2%; P=.03), and role ambiguity (VAF=12.2%; P<.001) on behavioral intentions to use internet hospitals. In addition, this study found that the sex, age, professional title, and use experience of medical practitioners significantly moderated the aforementioned influencing mechanisms.

CONCLUSIONS

This study investigated the factors that facilitate or hinder medical practitioners' resistance to change and their behavioral intentions to use internet hospitals. The findings suggest that policy makers avoid the resistance and further promote the adoption of internet hospitals by ensuring performance expectancy and social influence and eliminating work overload and role ambiguity.

Acceptance factors of telemedicine technology during Covid-19 pandemic among health professionals: A qualitative study

Objective

Health professionals are the main users of telemedicine systems, and their acceptance will contribute to the successful implementation of this technology. The objective of this study is to provide a better understanding of the issues surrounding the acceptance of telemedicine technology by Moroccan health professionals in the public sector, in the preparation for a possible generalization of this technology in Morocco.

Method

Following a literature review, the authors mobilized a modified version of the unified model of technology acceptance and use, to explain and understand the determinants of health professionals' intention to accept telemedicine technology. The authors' methodology is based on a qualitative analysis and is primarily based on data obtained through semi-structured interviews with health professionals, who the authors believe are the primary actors in the acceptance of this technology within Moroccan hospitals.

Results

The authors' results suggest that performance expectancy, effort expectancy, compatibility, facilitating conditions, perceived incentives, and social influence have a significant positive impact on health professionals' behavioural intention to accept telemedicine technology.

Practical implications

From a practical point of view, the results of this study can help the government, organizations responsible for the implementation of telemedicine, and policymakers to understand the key factors that may affect the behaviour of future users of this technology, and to develop very specific strategies and policies for a successful generalization.

Telemedicine ready or not? A cross-sectional assessment of telemedicine maturity of federally funded tertiary health institutions in Nigeria

Introduction and objective

Telemedicine has reinforced its position as a means for the continuity of healthcare services and a cost-effective approach to improving health equity as demonstrated during the COVID-19 pandemic. The preparedness of health systems for telemedicine is an indicator of the scalability of their services, especially during catastrophes. We aimed to assess the maturity and preparedness of federally funded tertiary health institutions in Nigeria, to deploy telemedicine as such data are currently lacking and are required to drive improvements in health services delivery.

Methods

We conducted a cross-sectional survey of thirty randomly selected federally funded tertiary health institutions in Nigeria using the Pan American Health Organization's tool for assessing the maturity level of health institutions to implement telemedicine between 17 September 2020 and 1 September 2021. Descriptive statistics were used for overall maturity levels and non-parametric tests to compare scores for overall maturity and specific Pan American Health Organization domains per region. The level of significance was set at p-value <0.05.

Results

The response rate was 77.4% (24 of 30 randomly polled federally funded tertiary health institutions responded). Overall, the median telemedicine maturity level was 2.0 (1.75) indicating a beginner level. No significant inter-zonal difference in the median overall maturity level (p = 0.87). The median maturity levels for telemedicine readiness in specific domains were organizational readiness - 2.0 (2.0), processes 1.0 (1.0), digital environment 2.0 (3.0), human resources 2.0 (1.0), regulatory issues - 1.5 (1.0) and expertise 2.0 (2.0); mostly at beginner level, with no inter-zonal differences. Most participating institutions had no initiatives in place for domains of processes and regulatory issues.

Conclusions

The current telemedicine maturity level of federally funded tertiary health institutions in Nigeria is at the beginner level. This behoves policy-makers to advance the implementation and deployment of telemedicine nationwide as part of digital quality healthcare, to improve health equity and to ensure continuity of healthcare services in the event of another pandemic.

The Interplay of Trust and Subjective Norms in Telemedicine Adoption by a Minority Community at Einstein Medical Center Philadelphia

Telemedicine is not released into a social vacuum. In some communities - such as the underserved, low income, mostly minority community served by Einstein Medical Center Philadelphia (EMCP) - the social context presents the medical center with unique challenges centered on a strong community sense of historical discrimination. That context is manifested in people being less inclined to trust symbols of external authority and in their strong reliance on subjective norms. Analyzing 540 survey responses by EMCP emergency department (ED) patients shows that trust in the EMCP portal was the strongest predictor of its acceptance. Being an African American had no effect on portal acceptance compared to others in the community. Importantly, there was a negative interaction effect of subjective norms and trust on portal acceptance - meaning that increasing this trust can reduce the importance of subjective norms or, alternatively, that lower subjective norms may increase the importance of trust in determining acceptance. This moderation may have very practical implications for EMCP because, while it might be challenging for EMCP to change long established subjective norms, it is within their power to increase trust in the portal. Theoretical and practical implications are discussed.

Promoting Healthcare Workers' Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human-Computer Trust

Artificial intelligence (AI)-assisted diagnosis and treatment could expand the medical scenarios and augment work efficiency and accuracy. However, factors influencing healthcare workers' adoption intention of AI-assisted diagnosis and treatment are not well-understood. This study conducted a cross-sectional study of 343 dental healthcare workers from tertiary hospitals and secondary hospitals in Anhui Province. The obtained data were analyzed using structural equation modeling. The results showed that performance expectancy and effort expectancy were both positively related to healthcare workers' adoption intention of AI-assisted diagnosis and treatment. Social influence and human-computer trust, respectively, mediated the relationship between expectancy (performance expectancy and effort expectancy) and healthcare workers' adoption intention of AI-assisted diagnosis and treatment. Furthermore, social influence and human-computer trust played a chain mediation role between expectancy and healthcare workers' adoption intention of AI-assisted diagnosis and treatment. Our study provided novel insights into the path mechanism of healthcare workers' adoption intention of AI-assisted diagnosis and treatment.

Intrinsic antecedents to mHealth adoption intention - A SEM-ANN approach

Healthcare is not left behind in the technological era, where almost every industry uses technological advances to serve customers' needs and wants. Increasingly, patients and doctors are using modern technological infrastructure to deliver care services. This study focuses on the intrinsic factors that lead to provider adoption of mHealth. The study uses PLS-SEM and neural networks to build on UTAUT theory. Study collects data from 316 care providers practicing in government and private health canters, hospitals and clinic found that intrinsic factors like self-efficacy, personal innovativeness, and performance expectancy positively related to mHealth adoption by physicians, whereas technology anxiety negatively related to adoption behaviour. Effort expectancy is not significant, indicating that m-Health adoption is driven by usefulness and result rather than convenience. If the expertise is not easily available, the physician's best interest for the patient may often drive them to adopt m-Health.

Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic

Technological interventions in the healthcare sector, namely, telemedicine services, have helped the government and people in these extraordinarily challenging times of ongoing COVID-19 pandemic. We identify and group key success factors relevant to telemedicine services under 7 contextual criteria. Furthermore, we explore the causal relations among them using the decision-making trial and evaluation laboratory (DEMATEL) method. Then, by applying the Bayesian best-worst method (BWM), we compute the relative importance of these criteria. Thereafter, we rank six hospitals that have provided telemedicine services through a comparative evaluation using the VIsekriterijumsko KOmpromisno Rangiranjie (VIKOR) method. The threefold findings of our study reveal that (i) the technological criteria provide the highest causal impact, while the environmental criteria provide the least causal impact. (ii) The hierarchical model of criteria, achieved through the Bayesian BWM score, shows that the criteria weights for both technological and organizational criteria are maximum (0.205) and minimum (0.087), respectively. (iii) The evaluation of six hospitals with VIKOR based on seven criteria ranks the Himalayan hospital as first, showing that it is best in providing telemedicine services to patients. Public health policymakers could use the results of our study to devise an effective plan for patient care in crisis, like COVID-19.

Acceptance and use of telemedicine technology by health professionals: Development of a conceptual model

Recent developments in information technology (IT) in health are extended to highly specialized services, an example is telemedicine technology, understood as the use of IT to enable the transfer of medical information for diagnostic purposes, therapeutic and educational. Despite the benefits of implementing such technology, healthcare professionals, as end users, do not fully utilize it. The Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), are among the models applied to assess and predict the acceptance and use of telemedicine. This article aims to identify the relevant literature related to these two models, to review and summarize the methodologies and results, and propose a conceptual model for the acceptance and use of telemedicine technology by healthcare professionals.

Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature

BACKGROUND

Personal health records (PHRs) can facilitate patient-centered communication through the secure messaging feature. As health care organizations in the Kingdom of Saudi Arabia implement PHRs and begin to implement the secure messaging feature, studies are needed to evaluate health care providers' acceptance.

OBJECTIVE

The aim of this study was to identify predictors of health care providers' behavioral intention to support the addition of a secure messaging feature in PHRs using an adapted model of the Unified Theory of Acceptance and Use of Technology as the theoretical framework.

METHODS

Using a cross-sectional survey design, data on acceptance of secure messaging features in PHRs were collected from health care providers working at the Ministry of National Guard Health Affairs between April and May 2021. The proposed model was tested using partial least squares structural equation modeling in SmartPLS.

RESULTS

There were 224 participants: female (66.5%), 40 to 49 years of age (39.9%), nurses (45.1%), and those working more than 10 years in the organization (68.8%). Behavioral intention to support the addition of a secure messaging feature was significantly influenced by performance expectancy (β = 0.21, p = 0.01) and attitude (β = 0.50, p < 0.01), while other predicting factors, such as effort expectancy, social influence, and facilitating condition, did not significantly affect the intention. Furthermore, age, years of experience, and professional role did not moderate the relationships.

CONCLUSION

Health care professionals will support introducing a secure messaging feature in the PHRs if they serve the intended purpose. Considering attitude also plays a significant role in acceptance, it is necessary to arrange for training and support, so that caregivers, health care providers, and the patients become familiar with the benefits and expected outcomes of using the feature.

Are we there yet? Unbundling the potential adoption and integration of telemedicine to improve virtual healthcare services in African health systems

Since the outbreak of COVID-19, the attention has now shifted towards universal vaccination to gracefully lift strict COVID-19 restrictions previously imposed to contain the spread of the disease. Sub-Saharan Africa is experiencing an exponential increase of infections and deaths coupled with vaccines shortages, personal protective equipment, weak health systems and COVID-19 emerging variants. Some developed countries integrated telemedicine to reduce the impacts of the shortage of healthcare professionals and potentially reduce the risk of exposure, ensuring easy delivery of quality health services while limiting regular physical contact and direct hospitalization. However, the adoption of telemedicine and telehealth is still nascent in many sub-Saharan Africa countries. Therefore, this study reflects on progress made towards the use of telemedicine, virtual health care services, challenges encountered, and proffers ways to address them. We conducted a systematic literature review to synthesise literature on telemedicine in sub-Saharan Africa. The study revealed that telemedicine provides unprecedented benefits such as improving efficiency, effective utilization of healthcare resources, forward triaging, prevention of medical personnel infection, aiding medical students' clinical observation and participation, and assurance of social support for patients. However, the absence of policy on virtual care and political will, cost of sustenance of virtual health care services, inadequate funding, technological and infrastructural barriers, patient and healthcare personnel bias on virtual care and cultural barriers are identified as limiting factors to the adoption of virtual health care in many African health systems. To alleviate some of these barriers, we recommend the development of robust policies and frameworks for virtual health care, the inclusion of virtual care in the medical school curriculum, supporting virtual care research and development, increasing health funding, removing monopolisation of telecommunication services, developing of virtual health solutions that address eccentricities of African health systems.

Advancement of telemedicine in Africa and the current laws: A case study of Nigeria

Advancements in technology have heralded more than a few cutting-edge benefits. Medicine is a vital sector of every nation and it has benefitted from these advancements in delivering health care services at a distance. The increasing use of Information and Communication Technology (ICT) by a vast population worldwide has been pivotal for telemedicine in recent years. Many developed and developing countries of the world have embraced telemedicine as a proactive means of delivering health care services to their citizens, although at different rates of development. The challenges associated with health care service and delivery is numerous and telemedicine has become one solution to counter some of these challenges. This paper seeks to examine the state of telemedicine in Nigeria. It identifies the gaps that ought to be filled in the Nigerian legal system and proposes relevant policies and legislation that must be formulated by government alongside appropriate authorities in order to ensure an optimum telemedicine system that meets the standards of conventional medicine.

Awareness and readiness to use telemonitoring to support diabetes care among care providers at teaching hospitals in Ethiopia: an institution-based cross-sectional study

OBJECTIVES

This survey aimed to assess the awareness and readiness of healthcare providers to use telemonitoring (TM) technologies for managing diabetes patients as well as to identify associated factors in Ethiopia.

DESIGN

An institution-based cross-sectional quantitative survey was conducted by using a pretested self-administered questionnaire from February to March 2020. Data analysis used a binary logistic regression and partial proportional odds model for factor identification.

PARTICIPANTS

Randomly selected 423 study physicians and nurses.

SETTING

This study was conducted at the University of Gondar and Tibebe Ghion specialised teaching referral hospitals.

OUTCOME MEASURES

Awareness and readiness towards TM in diabetes care.

RESULT

Out of 406 healthcare providers (69.7%, n=283 nurses and 30.3%, n=123 physicians) who completed the survey, 345 (38.7%) heard about TM, when it came to readiness, 321 (25.1%) and 121 (65.5%) of respondents had average and low readiness towards TM, respectively. The result of regression analysis shows that awareness towards TM was higher among respondents who had access to a computer (adjusted OR (AOR): 2.8 (95% CI 1.1 to 7.1)), computer-related training (AOR: 4.6 (95% CI 1.63 to 12.95)) and those who had the experience of supporting patients through digital tools (AOR: 1.7 (95% CI 1.0 to 2.8)). Self-perceived innovators and those who had access to a computer, computer-related training and favourable attitude towards TM had significantly higher readiness to use TM.

CONCLUSION

The findings of this survey revealed low awareness and readiness of participant's towards TM. However, this study suggests the need of improving participant's attitudes, access to smartphones and computers and technical skills to fill this gap.

Determinants of physicians' online medical services uptake: a cross-sectional study applying social ecosystem theory

OBJECTIVE

To investigate the determinants of willingness and practice of physicians' online medical services (OMS) uptake based on social ecosystem theory, so as to formulate OMS development strategies.

DESIGN

Cross-sectional survey.

SETTING

Research was conducted in two comprehensive hospitals and two community hospitals in Jiangsu, China, and the data were gathered from 1 June to 31 June 2020.

PARTICIPANTS

With multistage sampling, 707 physicians were enrolled in this study.

OUTCOME MEASURE

Descriptive statistics were reported for the basic characteristics. χ² test, Mann-Whitney U test and Spearman's correlation analysis were used to perform univariate analysis. Linear regression and logistic regression were employed to examine the determinants of physicians' OMS uptake willingness and actual uptake, respectively.

RESULTS

The mean score of the physicians' OMS uptake willingness was 17.33 (range 5-25), with an SD of 4.39, and 53.3% of them reported having conducted OMS. In the micro system, factors positively associated with willingness included holding administrative positions (b=1.03, p<0.05), OMS-related awareness (b=1.32, p<0.001) and OMS-related skills (b=4.88, p<0.001); the determinants of actual uptake included holding administrative positions (OR=2.89, 95% CI 1.59 to 5.28, p<0.01), OMS-related awareness (OR=1.90, 95% CI 1.22 to 2.96, p<0.01), OMS-related skills (OR=2.25, 95% CI 1.35 to 3.74, p<0.01) and working years (OR=2.44, 95% CI 1.66 to 3.59, p<0.001). In the meso system, the hospital's incentive mechanisms (b=0.78, p<0.05) were correlated with willingness; hospital advocated for OMS (OR=2.34, 95% CI 1.21 to 4.52, p<0.05), colleagues' experiences (OR=3.81, 95% CI 2.25 to 6.45, p<0.001) and patients' consultations (OR=2.93, 95% CI 2.02 to 4.25, p<0.001) were determinants of actual uptake. In the macro system, laws and policies were correlated with willingness (b=0.73, p<0.05) and actual uptake (OR=1.98, 95% CI 1.31 to 2.99, p<0.01); media orientation was also associated with willingness (b=0.74, p<0.05).

CONCLUSION

Multiple determinants influence physicians' OMS application. Comprehensive OMS promotion strategies should be put forward from multidimensional perspectives including the micro, meso and macro levels.

Is Telemedicine our cup of tea? A nationwide cross-sectional survey regarding doctors' experience and perceptions

OBJECTIVES

To evaluate the experience and perceptions regarding Telemedicine and the perceived barriers among medical doctors.

METHODS

This cross-sectional survey was carried out by enrolling practicing doctors of Pakistan with experience of ≥6 months by sending a validated and piloted questionnaire through email. Data collection was done from 10th October to 9th November 2020 after taking ethical approval from the concerned authorities. Data was analysed using SPSS v. 19.0.

RESULTS

Two-hundred-forty responses were received with a response rate of 63%. Female participants (62.8%) were in majority and most of the participants were working in urban (88.5%) or semi-urban (9%) locality in either teaching (35.9%) or tertiary care hospitals (34.6%). Seventy-three percent of the doctors didn't receive formal training with more than half of the doctors reporting non-availability of infrastructure and specific hardware. A large number of the participants were concerned regarding the non-availability of regulatory bodies, evaluations and accreditations of the service providers, the risks of malpractice, missed-diagnosis, prescription errors and medico-legal issues. The availability of specific infrastructure was statistically related to the hospital setup, locality and the specialty of the participants. Lack of technological literacy and infrastructure were considered the main constraints for the public in using telemedicine.

CONCLUSION

Evidence of effectiveness of telemedicine across different fields is inconsistent and lacks technical, legal, cultural and ethical considerations. Inadequate training, low level of technological literacy and lack of infrastructure are the main barriers in implementing tele-health. High-quality evidence based studies are required for practical and long-term policies.

Expanding telemedicine to reduce the burden on the healthcare systems and poverty in Africa for a post-coronavirus disease 2019 (COVID-19) pandemic reformation

The coronavirus disease 2019 (COVID-19) global public health emergency, has exposed the fragility of health systems. Access to healthcare became a scarce commodity as healthcare providers and resource-poor populations became victims of the novel corona virus. Therefore, this study focuses on Africa's readiness to integrate telemedicine into the weak health systems and its adoption may help alleviate poor healthcare and poverty after COVID-19. We conducted a narrative review through different search strategies in Scopus on January 20, 2021, to identify available literature reporting implementation of various telemedicine modes in Africa from January 1, 2011 to December 31, 2020. We summarized 54 studies according to geographies, field, and implementation methods. The results show a willingness to adopt telemedicine in the resource-poor settings and hard-to-reach populations, which will bring relief to the inadequate healthcare systems and alleviate poverty of those who feel the burden of healthcare cost the most. With adequate government financing, telemedicine promises to enhance the treating of communicable and non-communicable diseases as well as support health infrastructure. It can also alleviate poverty among vulnerable groups and hard-to-reach communities in Africa with adequate government financing. However, given the lack of funding in Africa, the challenges in implementing telemedicine require global and national strategies before it can yield promising results. This is especially true in regards to alleviating the multidimensionality of poverty in post-COVID-19 Africa.

Telemedicine use in Sub-Saharan Africa: Barriers and policy recommendations for Covid-19 and beyond

BACKGROUND

Telemedicine has been a useful healthcare alternative in the fight to contain the recent Covid-19 global pandemic. Yet the extent of its application and efficacy as an alternative route for healthcare provision remains a major concern for clinicians and patients.

OBJECTIVE

This study sought to identify barriers to the successful implementation of telemedicine in Sub-Saharan African (SSA) countries.

METHOD

A systematic review of the literature was conducted by applying the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines for identifying, selecting, evaluating and interpreting findings.

RESULTS

Our results from 66 empirical studies revealed a wide usage of telemedicine technology across SSA countries but also showed insufficient evidence of usage for fighting Covid-19 infection. Further, technological, organisational, legal and regulatory, individual, financial, and cultural aspects were identified as the major barriers to the successful implementation of telemedicine in SSA. A list of recommendations was produced for each telemedicine barrier.

CONCLUSION

Our review shows current trends in telemedicine application, as well as highlighting critical barriers for consideration by healthcare decision makers. This review offers a number of recommendations to support wider implementation and sustainable usage of telemedicine in SSA.

Willingness to Adopt Health Information Among Social Question-and-Answer Community Users in China: Cross-sectional Survey Study

BACKGROUND

COVID-19 has spread around the world and has increased the public's need for health information in the process. Meanwhile, in the context of lockdowns and other measures for preventing SARS-CoV-2 spread, the internet has surged as a web-based resource for health information. Under these conditions, social question-and-answer communities (SQACs) are playing an increasingly important role in improving public health literacy. There is great theoretical and practical significance in exploring the influencing factors of SQAC users' willingness to adopt health information.

OBJECTIVE

The aim of this study was to establish an extended unified theory of acceptance and use of technology model that could analyze the influence factors of SQAC users' willingness to adopt health information. Particularly, we tried to test the moderating effects that different demographic characteristics had on the variables' influences.

METHODS

This study was conducted by administering a web-based questionnaire survey and analyzing the responses from a final total of 598 valid questionnaires after invalid data were cleaned. By using structural equation modelling, the influencing factors of SQAC users' willingness to adopt health information were analyzed. The moderating effects of variables were verified via hierarchical regression.

RESULTS

Performance expectation (β=.282; P<.001), social influence (β=.238; P=.02), and facilitating conditions (β=.279; P=.002) positively affected users' willingness to adopt health information, whereas effort expectancy (P=.79) and perceived risk (P=.41) had no significant effects. Gender had a significant moderating effect in the structural equation model (P<.001).

CONCLUSIONS

SQAC users' willingness to adopt health information was evidently affected by multiple factors, such as performance expectation, social influence, and facilitating conditions. The structural equation model proposed in this study has a good fitting degree and good explanatory power for users' willingness to adopt health information. Suggestions were provided for SQAC operators and health management agencies based on our research results.

People's willingness and determinants to use selected tele-consultation public health services in Mozambique

BACKGROUND

To achieve universal health coverage by 2030, sub-Saharan African countries are planning to develop large scale tele-consultation public health services. However, there is a lack of knowledge regarding the level of peoples' willingness to use this kind of tele-health services. To address this gap and inform policymakers, the present study aims at accessing the Mozambican people's willingness to use tele-consultation public health services and the determinants associate to their willingness.

METHODS

A total of 403 adults participated in the study. The material consisted of 32 vignettes (scenarios) describing realistic health problem situations in which an individual was proposed to use a tele-consultation public health service, varying as a function of five factors: consultation category, health problem category, health problem severity, physician category, and the consultation price. For each health problem situation presented in the vignettes, the participants were asked to rate their willingness to use the proposed tele-consultation service on an 11-point scale. A cluster analysis using the K-means procedure was applied to the quantitative raw data to capture the participants' different perspectives. ANOVA, x2 and t-test analyses were also conducted to examine the effects of the different health problem situations and the sociodemographic characteristics on the participant ratings.

RESULTS

Five different perspectives (clusters) were found: never-willing (15% of the sample), severity (26%), consultation-category (22%), undecided (16%), and price-severity (21%). These perspectives were associated with participants' sociodemographic characteristics.

CONCLUSION

According to the main results, it seems that the majority of the participants (69%) were highly willing to use tele-consultation public health services in the case of mild illness, cheaper prices and follow-up consultation. In addition, the participants' willingness was significantly affected by some of the participants' sociodemographic characteristics.

Healthcare providers' acceptance of telemedicine and preference of modalities during COVID-19 pandemics in a low-resource setting: An extended UTAUT model

Background

In almost all lower and lower middle-income countries, the healthcare system is structured in the customary model of in-person or face to face model of care. With the current global COVID-19 pandemics, the usual health care service has been significantly altered in many aspects. Given the fragile health system and high number of immunocompromised populations in lower and lower-middle income countries, the economic impacts of COVID-19 are anticipated to be worse. In such scenarios, technological solutions like, Telemedicine which is defined as the delivery of healthcare service remotely using telecommunication technologies for exchange of medical information, diagnosis, consultation and treatment is critical. The aim of this study was to assess healthcare providers’ acceptance and preferred modality of telemedicine and factors thereof among health professionals working in Ethiopia.

Methods

A multi-centric online survey was conducted via social media platforms such as telegram channels, Facebook groups/pages and email during Jul 1- Sep 21, 2020. The questionnaire was adopted from previously validated model in low income setting. Internal consistency of items was assessed using Cronbach alpha (α), composite reliability (CR) and average variance extracted (AVE) to evaluate both discriminant and convergent validity of constructs. The extent of relationship among variables were evaluated by Structural equation modeling (SEM) using SPSS Amos version 23.

Results

From the expected 423 responses, 319 (75.4%) participants responded to the survey questionnaire during the data collection period. The majority of participants were male (78.1%), age <30 (76.8%) and had less than five years of work experience (78.1%). The structural model result confirmed the hypothesis “self-efficacy has a significant positive effect on effort expectancy” with a standardized coefficient estimate (β) of 0.76 and p-value <0.001. The result also indicated that self-efficacy, effort expectancy, performance expectancy, facilitating conditions and social influence have a significant direct effect on user’s attitude toward using telemedicine. User’s behavioral intention to use telemedicine was also influenced by effort expectancy and attitude. The model also ruled out that performance expectancy, facilitating conditions and social influence does not directly influence user’s intention to use telemedicine. The squared multiple correlations (r²) value indicated that 57.1% of the variance in attitude toward using telemedicine and 63.6% of the variance in behavioral intention to use telemedicine is explained by the current structural model.

Conclusion

This study found that effort expectancy and attitude were significantly predictors of healthcare professionals’ acceptance of telemedicine. Attitude toward using telemedicine systems was also highly influenced by performance expectancy, self-efficacy and facilitating conditions. effort expectancy and attitude were also significant mediators in predicting users’ acceptance of telemedicine. In addition, mHealth approach was the most preferred modality of telemedicine and this opens an opportunity to integrate telemedicine systems in the health system during and post pandemic health services in low-income countries.

Determinants of the behavioral intention to use a mobile nursing application by nurses in China

BACKGROUND

Although a mobile nursing application has began to adopt in nursing, few studies have focused on nurses' behavioral intention of it. The objective of this study is to gain insight into the behavioral intention of nurses, i.e. chinese nurses of the future, to use a mobile nursing application. This study adopted an extension of the Unified Theory of Acceptance and Use of Technology to examine Chinese nurses' acceptance of a mobile nursing application.

METHODS

A total of 1207 nurses participated in the cross-sectional survey. The majority of nurses were female (96.2%). The mean age of the participants was 34.18 (SD 7.39). The hypothesized relationships were tested using AMOS structural equation model.

RESULTS

All constructs exhibited an acceptable level of reliability and validity with Cα and CR > 0.7 and AVE > 0.5. An extension of the Unified Theory of Acceptance and Use of Technology Model had good explanatory power for nurses' behavioral intention of a mobile nursing application. Although effort expectancy and perceived risks had a surprisingly insignificant effect on nurses' behavioral intention to use a mobile nursing application, performance expectancy, social influence, facilitating conditions, self-efficacy, and perceived incentives demonstrated significant influence with β = .259, p < .001, β = .296, p < .001, β = .063, p = .037, β = .344, p < .001, β = .091, p = .001, respectively.

CONCLUSION

With 70.2% of the variance in behavioral intention to use a mobile nursing app explained by this model, it could be helpful for potential adopters, and further investigation should test the actual usage behavior for a mobile nursing app and investigate the related factors.

Telemedicine Acceptance during the COVID-19 Pandemic: An Empirical Example of Robust Consistent Partial Least Squares Path Modeling

The explanation of behaviors concerning telemedicine acceptance is an evolving area of study. This topic is currently more critical than ever, given that the COVID-19 pandemic is making resources scarcer within the health industry. The objective of this study is to determine which model, the Theory of Planned Behavior or the Technology Acceptance Model, provides greater explanatory power for the adoption of telemedicine addressing outlier-associated bias. We carried out an online survey of patients. The data obtained through the survey were analyzed using both consistent partial least squares path modeling (PLSc) and robust PLSc. The latter used a robust estimator designed for elliptically symmetric unimodal distribution. Both estimation techniques led to similar results, without inconsistencies in interpretation. In short, the results indicate that the Theory of Planned Behavior Model provides a significant explanatory power. Furthermore, the findings show that attitude has the most substantial direct effect on behavioral intention to use telemedicine systems.

Factors Impacting Clinicians' Adoption of a Clinical Photo Documentation App and its Implications for Clinical Workflows and Quality of Care: Qualitative Case Study

BACKGROUND

Mobile health (mHealth) tools have shown promise in clinical photo and wound documentation for their potential to improve workflows, expand access to care, and improve the quality of patient care. However, some barriers to adoption persist.

OBJECTIVE

This study aims to understand the social, organizational, and technical factors affecting clinicians' adoption of a clinical photo documentation mHealth app and its implications for clinical workflows and quality of care.

METHODS

A qualitative case study of a clinical photo and wound documentation app called imitoCam was conducted. The data were collected through 20 in-depth interviews with mHealth providers, clinicians, and medical informatics experts from 8 clinics and hospitals in Switzerland and Germany.

RESULTS

According to the study participants, the use of mHealth in clinical photo and wound documentation provides numerous benefits such as time-saving and efficacy, better patient safety and quality of care, enhanced data security and validation, and better accessibility. The clinical workflow may also improve when the app is a good fit, resulting in better collaboration and transparency, streamlined daily work, clinician empowerment, and improved quality of care. The findings included important factors that may contribute to or hinder adoption. Factors may be related to the material nature of the tool, such as the perceived usefulness, ease of use, interoperability, cost, or security of the app, or social aspects such as personal experience, attitudes, awareness, or culture. Organizational and policy barriers include the available clinical practice infrastructure, workload and resources, the complexity of decision making, training, and ambiguity or lack of regulations. User engagement in the development and implementation process is a vital contributor to the successful adoption of mHealth apps.

CONCLUSIONS

The promising potential of mHealth in clinical photo and wound documentation is clear and may enhance clinical workflow and quality of care; however, the factors affecting adoption go beyond the technical features of the tool itself to embrace significant social and organizational elements. Technology providers, clinicians, and decision makers should work together to carefully address any barriers to improve adoption and harness the potential of these tools.

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

BACKGROUND

Although there is a push toward encouraging mobile health (mHealth) adoption to harness its potential, there are many challenges that sometimes go beyond the technology to involve other elements such as social, cultural, and organizational factors.

OBJECTIVE

This review aimed to explore which frameworks are used the most, to understand clinicians' adoption of mHealth as well as to identify potential shortcomings in these frameworks. Highlighting these gaps and the main factors that were not specifically covered in the most frequently used frameworks will assist future researchers to include all relevant key factors.

METHODS

This review was an in-depth subanalysis of a larger systematic review that included research papers published between 2008 and 2018 and focused on the social, organizational, and technical factors impacting clinicians' adoption of mHealth. The initial systematic review included 171 studies, of which 50 studies used a theoretical framework. These 50 studies are the subject of this qualitative review, reflecting further on the frameworks used and how these can help future researchers design studies that investigate the topic of mHealth adoption more robustly.

RESULTS

The most commonly used frameworks were different forms of extensions of the Technology Acceptance Model (TAM; 17/50, 34%), the diffusion of innovation theory (DOI; 8/50, 16%), and different forms of extensions of the unified theory of acceptance and use of technology (6/50, 12%). Some studies used a combination of the TAM and DOI frameworks (3/50, 6%), whereas others used the consolidated framework for implementation research (3/50, 6%) and sociotechnical systems (STS) theory (2/50, 4%). The factors cited by more than 20% of the studies were usefulness, output quality, ease of use, technical support, data privacy, self-efficacy, attitude, organizational inner setting, training, leadership engagement, workload, and workflow fit. Most factors could be linked to one framework or another, but there was no single framework that could adequately cover all relevant and specific factors without some expansion.

CONCLUSIONS

Health care technologies are generally more complex than tools that address individual user needs as they usually support patients with comorbidities who are typically treated by multidisciplinary teams who might even work in different health care organizations. This special nature of how the health care sector operates and its highly regulated nature, the usual budget deficits, and the interdependence between health care organizations necessitate some crucial expansions to existing theoretical frameworks usually used when studying adoption. We propose a shift toward theoretical frameworks that take into account implementation challenges that factor in the complexity of the sociotechnical structure of health care organizations and the interplay between the technical, social, and organizational aspects. Our consolidated framework offers recommendations on which factors to include when investigating clinicians' adoption of mHealth, taking into account all three aspects.

Social, Organizational, and Technological Factors Impacting Clinicians' Adoption of Mobile Health Tools: Systematic Literature Review

Background

There is a growing body of evidence highlighting the potential of mobile health (mHealth) in reducing health care costs, enhancing access, and improving the quality of patient care. However, user acceptance and adoption are key prerequisites to harness this potential; hence, a deeper understanding of the factors impacting this adoption is crucial for its success.

Objective

The aim of this review was to systematically explore relevant published literature to synthesize the current understanding of the factors impacting clinicians’ adoption of mHealth tools, not only from a technological perspective but also from social and organizational perspectives.

Methods

A structured search was carried out of MEDLINE, PubMed, the Cochrane Library, and the SAGE database for studies published between January 2008 and July 2018 in the English language, yielding 4993 results, of which 171 met the inclusion criteria. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines and the Cochrane handbook were followed to ensure a systematic process.

Results

The technological factors impacting clinicians’ adoption of mHealth tools were categorized into eight key themes: usefulness, ease of use, design, compatibility, technical issues, content, personalization, and convenience, which were in turn divided into 14 subthemes altogether. Social and organizational factors were much more prevalent and were categorized into eight key themes: workflow related, patient related, policy and regulations, culture or attitude or social influence, monetary factors, evidence base, awareness, and user engagement. These were divided into 41 subthemes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them.

Conclusions

The study results can help inform mHealth providers and policymakers regarding the key factors impacting mHealth adoption, guiding them into making educated decisions to foster this adoption and harness the potential benefits.

Social, Organizational, and Technological Factors Impacting Clinicians' Adoption of Mobile Health Tools: Systematic Literature Review

BACKGROUND

There is a growing body of evidence highlighting the potential of mobile health (mHealth) in reducing health care costs, enhancing access, and improving the quality of patient care. However, user acceptance and adoption are key prerequisites to harness this potential; hence, a deeper understanding of the factors impacting this adoption is crucial for its success.

OBJECTIVE

The aim of this review was to systematically explore relevant published literature to synthesize the current understanding of the factors impacting clinicians' adoption of mHealth tools, not only from a technological perspective but also from social and organizational perspectives.

METHODS

A structured search was carried out of MEDLINE, PubMed, the Cochrane Library, and the SAGE database for studies published between January 2008 and July 2018 in the English language, yielding 4993 results, of which 171 met the inclusion criteria. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines and the Cochrane handbook were followed to ensure a systematic process.

RESULTS

The technological factors impacting clinicians' adoption of mHealth tools were categorized into eight key themes: usefulness, ease of use, design, compatibility, technical issues, content, personalization, and convenience, which were in turn divided into 14 subthemes altogether. Social and organizational factors were much more prevalent and were categorized into eight key themes: workflow related, patient related, policy and regulations, culture or attitude or social influence, monetary factors, evidence base, awareness, and user engagement. These were divided into 41 subthemes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them.

CONCLUSIONS

The study results can help inform mHealth providers and policymakers regarding the key factors impacting mHealth adoption, guiding them into making educated decisions to foster this adoption and harness the potential benefits.

Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China

Telemedicine is an innovative approach that helps alleviate the health disparity in developing countries and improve health service accessibility, affordability, and quality. Few studies have focused on the social and organizational issues involved in telemedicine, despite in-depth studies of and significant improvements in these technologies. This paper used evolutionary game theory to analyze behavioral strategies and their dynamic evolution in the implementation and operation of telemedicine. Further, numerical simulation was carried out to develop management strategies for promoting telemedicine as a new way of delivering health services. The results showed that: (1) When the benefits are greater than the costs, the higher medical institutions (HMIs), primary medical institutions (PMIs), and patients positively promote telemedicine with benign interactions; (2) when the costs are greater than the benefits, the stability strategy of HMIs, PMIs, and patients is, respectively, 'no efforts', 'no efforts', and 'non-acceptance'; and (3) promotion of telemedicine is influenced by the initial probability of the 'HMI efforts', 'PMI efforts', and 'patients' acceptance' strategy chosen by the three stakeholders, telemedicine costs, and the reimbursement ratio of such costs. Based on theoretical analysis, in order to verify the theoretical model, this paper introduces the case study of a telemedicine system integrated with health resources at provincial, municipal, county, and township level in Guizhou. The findings of the case study were consistent with the theoretical analysis. Therefore, the central Chinese government and local governments should pay attention to the running cost of MIs and provide financial support when the costs are greater than the benefits. At the same time, the government should raise awareness of telemedicine and increase participation by all three stakeholders. Lastly, in order to promote telemedicine effectively, it is recommended that telemedicine services are incorporated within the scope of medical insurance and the optimal reimbursement ratio is used.

Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study

Background

Poor quality primary health care is a major issue in China, particularly in blindness prevention. Artificial intelligence (AI) could provide early screening and accurate auxiliary diagnosis to improve primary care services and reduce unnecessary referrals, but the application of AI in medical settings is still an emerging field.

Objective

This study aimed to investigate the general public’s acceptance of ophthalmic AI devices, with reference to those already used in China, and the interrelated influencing factors that shape people’s intention to use these devices.

Methods

We proposed a model of ophthalmic AI acceptance based on technology acceptance theories and variables from other health care–related studies. The model was verified via a 32-item questionnaire with 7-point Likert scales completed by 474 respondents (nationally random sampled). Structural equation modeling was used to evaluate item and construct reliability and validity via a confirmatory factor analysis, and the model’s path effects, significance, goodness of fit, and mediation and moderation effects were analyzed.

Results

Standardized factor loadings of items were between 0.583 and 0.876. Composite reliability of 9 constructs ranged from 0.673 to 0.841. The discriminant validity of all constructs met the Fornell and Larcker criteria. Model fit indicators such as standardized root mean square residual (0.057), comparative fit index (0.915), and root mean squared error of approximation (0.049) demonstrated good fit. Intention to use (R²=0.515) is significantly affected by subjective norms (beta=.408; P<.001), perceived usefulness (beta=.336; P=.03), and resistance bias (beta=–.237; P=.02). Subjective norms and perceived behavior control had an indirect impact on intention to use through perceived usefulness and perceived ease of use. Eye health consciousness had an indirect positive effect on intention to use through perceived usefulness. Trust had a significant moderation effect (beta=–.095; P=.049) on the effect path of perceived usefulness to intention to use.

Conclusions

The item, construct, and model indicators indicate reliable interpretation power and help explain the levels of public acceptance of ophthalmic AI devices in China. The influence of subjective norms can be linked to Confucian culture, collectivism, authoritarianism, and conformity mentality in China. Overall, the use of AI in diagnostics and clinical laboratory analysis is underdeveloped, and the Chinese public are generally mistrustful of medical staff and the Chinese medical system. Stakeholders such as doctors and AI suppliers should therefore avoid making misleading or over-exaggerated claims in the promotion of AI health care products.