Factors affecting sustainable adoption of e-health technology in developing countries: an exploratory survey of Nigerian hospitals from the perspective of healthcare professionals

Health Workers' Acceptance and Satisfaction on the Usability of the Digital Health Goods, in Kono District, Sierra Leone

Introduction

Digital health systems implementation in developing countries is increasing exponentially, and digital health interventions are essential tools to improve healthcare access and quality. In contrast, the evidence base is meager about the acceptance and satisfaction of end users towards digital health goods. Hence, this study aims to evaluate the acceptance and satisfaction of end users on the usability of digital goods in Sierra Leone.

Methods

Health facility-based cross-sectional study design was employed, and a total of 151 participants were included. Data were collected using a validated data collection tool. Initially, descriptive data analysis was done. Finally, bivariate and multivariate logistic regressions were applied to identify predictors for user acceptance of digital health goods. Finally, findings are presented as AORs along with 95% CIs.

Results

The study considered 151 respondents for analysis. In this study, 72.2% with 95%  CI: 64.4-78.8% of respondents have good acceptance of the digital health systems. The findings revealed that 49.7% and 45.7% of respondents were strongly satisfied and satisfied, respectively. The regression analysis indicated that perceived ease of use [AOR=5.56; 95% CI: 2.17, 14.26], digital health system type [AOR=0.18, 95% CI: 0.06, 0.55], and frequency of digital system use [AOR=0.04; 95% CI: 0.01, 0.41] were predictors of user acceptance. The major barriers for successful implementation were inability to be used offline, being slow, and taking longer time to input information in the digital systems.

Conclusion

End user acceptance and satisfaction with digital health goods were high. Perceived ease of use, digital system type, and frequency of using digital systems are predictors of user acceptance. Major barriers to digital systems implementation include inability to be used offline and taking longer time to input information in the systems. Long-term system acceptance could be achieved through addressing end user preference and potential barriers of implementation.

Health workers' adoption of digital health technology in low- and middle-income countries: a systematic review and meta-analysis

Objective

To conduct a systematic review and meta-analysis of the facilitators of and barriers to the acceptance and use of digital health technology by health workers in low- and middle-income countries.

Methods

We searched several databases for relevant articles published until 25 April 2024. We extracted data on four unified theories of acceptance and use of technology factors (performance expectancy, effort expectancy, social influence and facilitating conditions) and six additional factors (attitude, habit, incentive, risk, trust and self-efficacy); how these affected the outcomes of behavioural intention and actual use; and the strength of association if reported. We conducted a meta-analysis of the quantitative studies.

Findings

We reviewed 36 publications, 20 of which were included in our meta-analysis. We observed that performance expectancy was the most frequently reported facilitator (in 21 studies; 58.3%) and that lack of facilitating conditions was the most cited barrier (10; 27.8%). From our meta-analysis, trust (r = 0.53; 95% confidence interval, CI: 0.18 to 0.76) and facilitating conditions (r = 0.42; 95% CI: 0.27 to 0.55) were the leading facilitators of behavioural intention and actual use, respectively. We identified concerns with performance expectancy (r = -0.14, 95% CI: -0.29 to 0.01) as the primary barrier to both outcomes.

Conclusion

Our approach of clustering the facilitators of and barriers to the acceptance and use of digital health technology from the perspective of health workers highlighted the importance of creating an enabling ecosystem. Supportive infrastructure, tailored training programmes and incentive policies should be incorporated in the implementation of digital health programmes in low- and middle-income countries.

Exploring Patients' Acceptance of Mental Health E-services in Morocco: A Quantitative Approach

Background The transformative potential of technology in addressing mental healthcare challenges is more widely acknowledged in Morocco. The government has taken active measures to address persistent mental health challenges and provide better care by exploring innovative digital solutions. Several e-health services initiatives have been implemented, including electronic health record systems, telemedicine services, e-appointment systems, and mobile health applications. However, the adoption of e-health technologies in Morocco, even for basic services such as the e-appointment system (EAS), remains notably low. Objective By assessing the constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) along with additional variables, including trust in technology and perceived mental health conditions, this study aims to identify key predictors influencing patients' acceptance and use of EAS as a reliable way of accessing mental health support.  Methods Data were collected through a questionnaire survey administered to mental health patients receiving treatment at the Psychiatry Department of the University Hospital in Casablanca, Morocco. Patients were recruited based on their willingness to participate, while those with cognitive difficulties that impaired their ability to complete the survey were excluded. The survey was conducted over seven months, from January to July 2023, with a total of 200 participants enrolled during their visits to the University Hospital. A logistic regression analysis was performed to identify the predictors of EAS acceptance among mental health patients. Results The results indicate low adoption rates of the EAS, with many patients only trying it once before reverting to traditional scheduling methods, such as phone calls or in-person visits. Perceptions show optimism about the benefits of EAS but highlight areas for improvement in social and technical support to enhance acceptance. Performance expectancy, trust in technology, and facilitating conditions were found to be significant predictors of EAS acceptance and use among mental health patients. In contrast, effort expectancy, social influence, and perceived mental health conditions were insignificant and didn't appear to influence EAS acceptance meaningfully. Conclusion This study's findings can be used to develop effective strategies that promote the widespread adoption of e-mental health services and ultimately address the barriers to accessing quality mental healthcare.

Evaluating the Sustainable Competitive Advantage of Saudi e-Healthcare System: An Empirical Study

Study Purpose

This study seeks to investigate the various dimensions contributing to the sustainable competitive advantage of the Saudi eHealthcare system.

Methods

A cross-sectional survey design was adopted in this study. Eleven factors were identified that may affect the sustainable competitive advantage, which were embedded in to the survey questionnaire. Participants included diverse healthcare workers (physicians, specialist physicians, nurses, managers) from Saudi public hospitals. A total of 382 healthcare workers participated in the study.

Results

User experience and accessibility emerged as the most significant factor with a high mean of 4.04 ± 0.69, followed by innovation and continuous improvement (mean 3.8 ± 0.89) and AI adoption (mean 3.91 ± 0.82). Notably, a statistically significant difference is observed in the domain of Data Security and Privacy (p = 0.0448), with specialist physicians exhibiting a lower mean score (2.44 ± 0.86) compared to other roles.

Conclusion

The need to strengthen overall competitiveness is emphasized by identified areas for improvement, including data security, interoperability, and integration, which highlight the necessity for specific initiatives.

Validation of a quantitative instrument measuring critical success factors and acceptance of Casemix system implementation in the total hospital information system in Malaysia

OBJECTIVES

This study aims to address the significant knowledge gap in the literature on the implementation of Casemix system in total hospital information systems (THIS). The research focuses on validating a quantitative instrument to assess medical doctors' acceptance of the Casemix system in Ministry of Health (MOH) Malaysia facilities using THIS.

DESIGNS

A sequential explanatory mixed-methods study was conducted, starting with a cross-sectional quantitative phase using a self-administered online questionnaire that adapted previous instruments to the current setting based on Human, Organisation, Technology-Fit and Technology Acceptance Model frameworks, followed by a qualitative phase using in-depth interviews. However, this article explicitly emphasises the quantitative phase.

SETTING

The study was conducted in five MOH hospitals with THIS technology from five zones.

PARTICIPANTS

Prior to the quantitative field study, rigorous procedures including content, criterion and face validation, translation, pilot testing and exploratory factor analysis (EFA) were undertaken, resulting in a refined questionnaire consisting of 41 items. Confirmatory factor analysis (CFA) was then performed on data collected from 343 respondents selected via stratified random sampling to validate the measurement model.

RESULTS

The study found satisfactory Kaiser-Meyer-Olkin model levels, significant Bartlett's test of sphericity, satisfactory factor loadings (>0.6) and high internal reliability for each item. One item was eliminated during EFA, and organisational characteristics construct was refined into two components. The study confirms unidimensionality, construct validity, convergent validity, discriminant validity and composite reliability through CFA. After the instrument's validity, reliability and normality have been established, the questionnaire is validated and deemed operational.

CONCLUSION

By elucidating critical success factor and acceptance of Casemix, this research informs strategies for enhancing its implementation within the THIS environment. Moving forward, the validated instrument will serve as a valuable tool in future research endeavours aimed at evaluating the adoption of the Casemix system within THIS, addressing a notable gap in current literature.

Healthcare Professionals' Attitude to Using Mobile Health Technology and Its Associated Factors in a Resource-Limited Country-An Implication for Digital Health Implementers: A Cross Sectional Study

Background: Mobile health has become widely used within the healthcare system, and there is an increasing worldwide trend toward employing this innovation for behavior management, disease monitoring, the control and prevention of various health issues, and rising enrollment in healthcare services. Although mHealth is becoming more widely available, there is no evidence about the attitude of healthcare professionals toward mHealth in southwest Ethiopia. Therefore, this study is aimed at assessing the attitude of healthcare professionals to using mHealth technology and associated factors in Ethiopia. Methods: An institutional cross-sectional study was conducted among 422 healthcare professionals. Data were collected using a pretested interviewer-administered questionnaire, and the study was conducted from January 08 to February 10, 2023. EpiData Version 4.6 for entering the data and STATA Version 14 for analyzing the data were used. A multivariable logistic regression analysis was carried out to identify factors associated with healthcare professionals' attitudes to using mobile health technology. Results: A total of 415 study participants were included in the study. About 180 (43.4%) respondents had a favorable attitude toward mHealth technology in southwest public hospitals. Master's degree and above (adjusted odds ratio [AOR]: 3.67; 95% CI: 1.22, 4.10), good knowledge of mobile health technology (AOR: 4.08; 95% CI: 1.35, 5.31), more than 5 years of work experience (AOR: 3.09; 95% CI: 1.76, 5.60), had ICT infrastructure (AOR: 2.70; 95% CI: 1.38, 5.31), had own smart mobile (AOR: 3.67; 95% CI: 3.20, 4.31), and had taken computer-related training (AOR: 1.96; 95% CI: 1.03, 3.73) were positively associated with healthcare professionals' attitude to using mobile health technologies in southwest Ethiopia. Conclusions: Overall, healthcare professionals' attitude to using mobile health technologies in southwest Ethiopia was relatively low. Education level, good knowledge, years of work experience, ICT infrastructure, having a smart mobile, and having taken computer-related training were significant factors of attitude to using mobile health technologies. Considering these factors could provide insight into developing and adopting mobile health technologies in Ethiopia.

Predictive Factors of Physicians' Satisfaction and Quality of Work Under Teleconsultation Conditions: Structural Equation Analysis

BACKGROUND

The COVID-19 pandemic contributed to an increase in teleconsultation adoption in the Polish primary health care system. It is expected that in the long run, teleconsultations will successfully replace a significant part of face-to-face visits. Therefore, a significant challenge facing primary health care facilities (PHCs) is the acceptance of teleconsultations by their users, especially physicians.

OBJECTIVE

This study aimed to explore physicians' acceptance of teleconsultations during the COVID-19 pandemic in Poland.

METHODS

A representative survey was conducted among 361 physicians of PHCs across Poland in 2021. For the purposes of the study, we developed a modified Technology Acceptance Model (TAM) model. Based on the modified TAM, we analyzed the impact of perceived usefulness (PU), perceived ease of use (PEU), and intention to use teleconsultation (INT) on physicians' satisfaction (SAT) and quality of work (Q). The psychometric properties of the research instrument were examined using exploratory factor analysis. Finally, structural equation modeling was used for data analysis.

RESULTS

The results indicated a generally high level of PU (mean 3.85-4.36, SD 0.87-1.18), PEU (mean 3.81-4.60, SD 0.60-1.42), INT (mean 3.87-4.22, SD 0.89-1.12), and SAT (mean 3.55-4.13, SD 0.88-1.16); the lowest rated dimension in TAM was Q (mean 3.28-3.73, SD 1.06-1.26). The most important independent variable was PU. The influence of PU on INT (estimate=0.63, critical ratio [CR]=15.84, P<.001) and of PU on SAT (estimate=0.44, CR= 9.53, P<.001) was strong. INT was also a key factor influencing SAT (estimate=0.4, CR=8.57, P<.001). A weaker relationship was noted in the effect of PEU on INT (estimate=0.17, CR=4.31, P<.001). In turn, Q was positively influenced by INT (estimate=0.179, CR=3.64, P<.001), PU (estimate=0.246, CR=4.79, P<.001), PEU (estimate=0.18, CR=4.93, P<.001), and SAT (estimate=0.357, CR=6.97, P<.001). All paths between the constructs (PU, PEU, INT, SAT, and Q) were statistically significant, which highlights the multifaceted nature of the adoption of teleconsultations among physicians.

CONCLUSIONS

Our findings provide strong empirical support for the hypothesized relationships in TAM. The findings suggest that the PU and PEU of teleconsultation have a significant impact on the intention of physicians to adopt teleconsultation. This results in an improvement in the satisfaction of Polish physicians with the use of teleconsultation and an increase in Q. The study contributes to both theory and practice by identifying important prognostic factors affecting physicians' acceptance of teleconsultation systems.

Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study

BACKGROUND

A partograph is a pictorial representation of the relationship between cervical dilatation and the time used to diagnose prolonged and obstructed labor. However, the utilization of paper-based partograph is low and it is prone to documentation errors, which can be avoided with the use of electronic partographs. There is only limited information on the proportion of intention to use mobile-based partographs and its predictors.

OBJECTIVE

The objective of this study was to determine the proportion of obstetric health care providers at public referral hospitals in Oromia, Ethiopia, in 2022 who had the intention to use mobile-based partographs and to determine the predictors of their intention to use mobile-based partographs.

METHODS

We performed an institution-based cross-sectional study from June 1 to July 1, 2022. Census was conducted on 649 participants. A self-administered structured English questionnaire was used, and a 5% pretest was performed. Data were entered into EpiData version 4.6 and exported to SPSS version 25 for descriptive analysis and AMOS (analysis of moment structure; version 23) for structural and measurement model assessment. Descriptive and structural equation modeling analyses were performed. The hypotheses developed based on a modified Technology Acceptance Model were tested using path coefficients and P values <.05.

RESULTS

About 65.7% (414/630; 95% CI 61.9%-69.4%) of the participants intended to use mobile-based electronic partographs, with a 97% (630/649) response rate. Perceived usefulness had a positive influence on intention to use (β=.184; P=.02) and attitude (β=.521; P=.002). Perceived ease of use had a positive influence on attitude (β=.382; P=.003), perceived usefulness (β=.503; P=.002), and intention to use (β=.369; P=.001). Job relevance had a positive influence on perceived usefulness (β=.408; P=.001) and intention to use (β=.185; P=.008). Attitude positively influenced intention to use (β=.309; P=.002). Subjective norms did not have a significant influence on perceived usefulness (β=.020; P=.61) and intention to use (β=-.066; P=.07).

CONCLUSIONS

Two-thirds of the obstetric health care providers in our study intended to use mobile-based partographs. Perceived usefulness, perceived ease of use, job relevance, and attitude positively and significantly influenced their intention to use mobile-based electronic partographs. The development of a user-friendly mobile-based partograph that meets job and user expectations can enhance the intention to use.

Impact of the Lightwave Health Information Management Software on the Dimensions of Quality of Healthcare Data

OBJECTIVES

The use of technology in healthcare to manage patient records, guide diagnosis, and make referrals is termed electronic healthcare. An electronic health record system called Lightwave Health Information Management System (LHIMS) was implemented in 2018 at Cape Coast Teaching Hospital (CCTH). This study evaluated the impact of LHIMS on the quality of healthcare data at CCTH, focusing on the extent to which its use has enhanced the main dimensions of data quality.

METHODS

Structured questionnaires were administered to doctors at CCTH to enquire about their opinions about the present state of LHIMS as measured against the parameters of interest in this study, mainly the dimensions of quality healthcare data and the specific issues plaguing the system as reported by respondents.

RESULTS

Most doctors found LHIMS convenient to use, mainly because it made access to patient records easier and had to some extent improved the dimensions of quality healthcare data, except for comprehensiveness, at CCTH. Major challenges that impeded the smooth running of the system were erratic power supply, inadequate logistics and technological drive, and poor internet connectivity.

CONCLUSIONS

LHIMS must be upgraded to include more decision support systems and additional add-ons such as patients' radiological reports, and laboratory results must be readily available on LHIMS to make patient health data more comprehensive.

Does mobile renewal make health insurance more responsive to clients? A case study of the National Health Insurance Scheme in Ghana

BACKGROUND

In 2018, Ghana's National Health Insurance Authority (NHIA) introduced a mobile strategy to enhance re-enrolment and improve client knowledge of their entitlements. This study investigated how Ghana's mobile strategy has influenced the NHIA's responsiveness to clients in terms of patient rights and entitlements, equity and satisfaction with health services.

METHODS

We surveyed people (n=1700) in 6 districts who had renewed their insurance in the previous 12 months, using any strategy (mobile or manual). Multiple regression analysis examined correlation between individual characteristics and renewal modality. Policy documents on the mobile programme's design and focus group discussions (n=12) on people's experiences renewing their insurance were analysed thematically.

RESULTS

While the mobile platform was designed for mobile National Health Insurance Scheme (NHIS) renewal and to provide information about insurance entitlements, few people surveyed (20%) knew about these informational features. Among those who renewed their NHIS coverage, 58% did so on the mobile renewal platform. Mobile renewal was high among those with tertiary education and those in the higher wealth quintiles. Mobile renewal was considered convenient, but required literacy in English, a phone and a mobile money wallet. For those who lacked some or all of these prerequisites but wanted to use mobile renewal, mobile vendors emerged as valued facilitators.

CONCLUSION

The mobile platform has increased the responsiveness of Ghana's NHIS through offering clients a more convenient mechanism to renew their insurance policies. It does not, however, eliminate the one month waiting period for activating the card, does not provide prompts to reassure clients of their renewal and does not empower most clients with information on entitlements. To improve the adoption and use of the mobile renewal strategy, the NHIA should publicise the platform's information-sharing functions and explore formally engaging mobile vendors.

Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review

BACKGROUND

With the spread of Covid-19 disease, health interventions related to the control, prevention, and treatment of this disease and other diseases were given real attention. The purpose of this systematic review is to express facilitators and barriers of using mobile health (mHealth) interventions during the Covid-19 pandemic.

METHODS

In this systematic review, original studies were searched using keywords in the electronic database of PubMed until August 2022. The objectives and outcomes of these studies were extracted. Finally, to identify the facilitators and barriers of mHealth interventions, a qualitative content analysis was conducted based on the strengths, weaknesses, opportunities, and threats (SWOT) analysis method with Atlas.ti 8 software. We evaluated the studies using the Mixed Methods Appraisal Tool (MMAT).

RESULTS

In total, 1598 articles were identified and 55 articles were included in this study. Most of the studies used mobile applications to provide and receive health services during the Covid-19 pandemic (96.4%). The purpose of the applications was to help prevention (17), follow-up (15), treatment (12), and diagnosis (8). Using SWOT analysis, 13 facilitators and 18 barriers to patients' use of mHealth services were identified.

CONCLUSION

Mobile applications are very flexible technologies that can be customized for each person, patient, and population. During the Covid-19 pandemic, the applications designed due to lack of interaction, lack of time, lack of attention to privacy, and non-academic nature have not met their expectations of them.

Understanding psychology students' perspective on video psychotherapy and their intention to offer it after graduation: a mixed-methods study

Introduction

Video psychotherapy (VPT) demonstrated strong clinical efficacy in the past, with patients and psychotherapists expressing satisfaction with its outcomes. Despite this, VPT only gained full recognition from the German healthcare system during the COVID-19 pandemic. As society increasingly relies on new media, it seems likely that VPT will become even more relevant. Previous studies surveyed practicing psychotherapists and patients about advantages and disadvantages of VPT. In contrast, our approach targets a younger generation, specifically psychology students intending to become licensed practitioners after graduation.

Methods

Our mixed-methods study was conducted in an online survey format and had two main objectives. Firstly, we investigated which person-related variables are associated with psychology students' behavioral intention to offer VPT after graduation, using a multiple regression analysis. Secondly, we explored psychology students' perception of advantages and disadvantages of VPT and identified their desired learning opportunities regarding VPT in their study program, using qualitative content analysis.

Results

A sample of 255 psychology students participated. The multiple regression model explains 73% of inter-individual variance in the intention to offer VPT, with attitudes toward VPT showing the strongest relationship with intention to offer VPT. Expected usefulness, satisfaction with video conferencing, and subjective norm also showed significant relations. The students provided 2,314 statements about advantages, disadvantages, and desired learning opportunities, which we coded by means of three category systems. In terms of advantages, the most frequently mentioned categories were low inhibition threshold, flexibility in terms of location, and no need to travel. For disadvantages, the predominant categories included lack of closeness between patient and psychotherapist, lack of nonverbal cues, and problems with technology or internet connection. Regarding desired learning opportunities, training for technical skills, practical application through role-playing and self-experience, and general information about VPT were the most mentioned categories. In addition, we identified numerous other aspects related to these topics, reflecting a differentiated and balanced assessment of VPT.

Discussion

We discuss the theoretical and practical implications of our findings for training the next generation of psychotherapists and outline a specific five-step plan for integrating VPT into study programs.

Facilitators and Barriers to the Sustainability of eHealth Solutions in Low- and Middle-Income Countries: Descriptive Exploratory Study

BACKGROUND

Despite the widely anticipated benefits of eHealth technologies in enhancing health care service delivery, the sustainable usage of eHealth in transitional countries remains low. There is limited evidence supporting the low sustainable adoption of eHealth in low- and middle-income countries.

OBJECTIVE

The aim of this study was to explore the facilitators and barriers to the sustainable use of eHealth solutions in low- and middle-income nations.

METHODS

A qualitative descriptive exploratory study was conducted in 4 African nations from September to December 2021. A semistructured interview guide was used to collect the data. Data were audio-recorded and transcribed from the local to the English language verbatim, and the audio data were transcribed. On the basis of the information gathered, we assigned codes to the data, searched for conceptual patterns, and created emerging themes. Data were analyzed thematically using OpenCode software.

RESULTS

A total of 49 key informant interviews (10 from Tunisia, 15 from Ethiopia, 13 from Ghana, and 11 from Malawi) were conducted. About 40.8% (20/49) of the study participants were between the ages of 26 and 35 years; 73.5% (36/49) of them were male participants; and 71.4% (35/49) of them had a master's degree or higher in their educational background. Additionally, the study participants' work experience ranged from 2 to 35 years. Based on the data we gathered, we identified 5 themes: organizational, technology and technological infrastructure, human factors, economy or funding, and policy and regulations.

CONCLUSIONS

This study explores potential facilitators and barriers to long-term eHealth solution implementation. Addressing barriers early in the implementation process can aid in the development of eHealth solutions that will better fulfill the demands of end users. Therefore, focusing on potential challenges would enhance the sustainability of eHealth solutions in low- and middle-income countries.

Co-Creation in Health 4.0 as a New Solution for a New Era

Previous research on co-creation in healthcare indicates that the use of co-creation in the design process of health solutions influences their greater acceptance and adaptation, resulting in greater efficiency of health services and higher usability of implemented health solutions. Analysis of adaptation and acceptance of new technologies reveals the problem of misunderstanding and the need for more trust in modern tools implemented in the healthcare system. The remedy may be the use of co-creation in the process of developing modern medical products and services. This article's main purpose is to explore the co-creation process in Health 4.0, which is understood as the development of healthcare through the application of methods and tools of the Fourth Industrial Revolution. The literature review provided insights for an analytical framework-the co-creation matrix. We analyzed the case of the Italian medical platform Paginemediche.it to reveal the actors' engagement in co-creation. The results demonstrated different levels of engagement in improving the efficiency of implementing medical and technological solutions. Both theoretical and practical analysis proved that the co-creation matrix helps more precisely define the scale and scope of co-creation in Health 4.0.

Exploring facilitators of the implementation of electronic health records in Saudi Arabia

INTRODUCTION

The introduction of information technology was one of the key priorities for policy-makers in health care organisations over the last two decades due to the potential benefits of this technology to improve health care services and quality. However, approximately 50% of those projects failed to achieve their intended aims. This was a result of several factors, including the cost of these projects. The Saudi Ministry of Health (MoH) planned to implement an electronic health record system (EHRS) in approximately 2100 primary health care centres nationwide. It was acknowledged that this project may face hurdles, which might result in the failure of the project if implementation facilitators were not first determined. According to the Saudi MoH, previous electronic health record system implementation in primary health care centres failed as a consequence of several barriers, such as poor infrastructure, lack of connectivity and lack of interoperability. However, the facilitators of successful electronic health record system implementation in Saudi primary health care centres are not understood.

AIM

To determine the facilitators that enhance the success of the implementation of an EHRS in public primary health care centres in SA.

METHOD

A mixed methods approach was used with both qualitative and quantitative methods (qualitative using semistructured interviews and quantitative with a closed survey). The purpose of the utilisation of exploratory mixed methods was to identify a wide range of facilitators that may influence EHRS implementation. The data were obtained from two different perspectives, primary health care centre practitioners and project team members. A total of 351 practitioners from 21 primary health care centres participated in the online survey, and 14 key informants at the Saudi Ministry of Health who were directly involved in the electronic health record system implementation in the primary health care centres agreed to be interviewed face to face.

RESULTS

The findings from both studies revealed several facilitators. Among these facilitators, financial resources were found to be the most influential factor that assisted in overcoming some barriers, such as software selection. The size of the primary health care centres was the second facilitator of successful implementation, despite the scale of the project. Perceived usefulness was another facilitator identified in both the interviews and the survey. More than 90% of the participants thought that the electronic health record system was useful and could contribute to improving the quality of health care services. While a high level of satisfaction was expressed towards the electronic health record system's usability and efficiency, low levels of satisfaction were recorded for organisational factors such as user involvement, training and support. Hence, system usability and efficiency were documented to be other facilitators of successful electronic health record system implementation in Saudi primary health care centres.

CONCLUSION

The findings of the present study suggest that sufficient financial support is essential to enhance the success of electronic health record system implementation despite the scale of the project. Additionally, effective leadership and project management are core factors to overcome many obstacles and ensure the success of large-scale projects.

Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review

Background

The impact and utility of machine learning (ML)-based prediction tools for cancer outcomes including assistive diagnosis, risk stratification, and adjunctive decision-making have been largely described and realized in the high income and upper-middle-income countries. However, statistical projections have estimated higher cancer incidence and mortality risks in low and lower-middle-income countries (LLMICs). Therefore, this review aimed to evaluate the utilization, model construction methods, and degree of implementation of ML-based models for cancer outcomes in LLMICs.

Methods

PubMed/Medline, Scopus, and Web of Science databases were searched and articles describing the use of ML-based models for cancer among local populations in LLMICs between 2002 and 2022 were included. A total of 140 articles from 22,516 citations that met the eligibility criteria were included in this study.

Results

ML-based models from LLMICs were often based on traditional ML algorithms than deep or deep hybrid learning. We found that the construction of ML-based models was skewed to particular LLMICs such as India, Iran, Pakistan, and Egypt with a paucity of applications in sub-Saharan Africa. Moreover, models for breast, head and neck, and brain cancer outcomes were frequently explored. Many models were deemed suboptimal according to the Prediction model Risk of Bias Assessment tool (PROBAST) due to sample size constraints and technical flaws in ML modeling even though their performance accuracy ranged from 0.65 to 1.00. While the development and internal validation were described for all models included (n=137), only 4.4% (6/137) have been validated in independent cohorts and 0.7% (1/137) have been assessed for clinical impact and efficacy.

Conclusion

Overall, the application of ML for modeling cancer outcomes in LLMICs is increasing. However, model development is largely unsatisfactory. We recommend model retraining using larger sample sizes, intensified external validation practices, and increased impact assessment studies using randomized controlled trial designs.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=308345, identifier CRD42022308345.

Health professionals' perspective towards challenges and opportunities of telehealth service provision: A scoping review

BACKGROUND

Telehealth, or healthcare offered through the internet, computers, and other devices for communication, is rapidly increasing with changing times and technological advancement. For quality and security of such services, it is crucial that professionals are competent in offering such service. Still, lack of professionals' training has been identified as one of the barriers to implementation of telehealth. Thus, to improve such training, it is crucial to identify professionals' knowledge, experience, and perspectives towards challenges and opportunities of using telehealth.

OBJECTIVE

The review's objective was to answer the research question: what is known in the literature about challenges and opportunities of telehealth service provision from the perspective of health professionals?

METHODS

Arksey and O'Malley's five-stage approach for scoping studies was used for the review. Studies were collected across four databases: Scopus, PubMed, ProQuest and EBSCOhost. The data from the 22 included studies were reported by using frequency counts and categorization of health professionals' experiences.

RESULTS

The findings of the review led to three categories: (1) study demographics, (2) challenges for telehealth, and (3) opportunities for telehealth. The most frequently reported challenges were issues related to communications, inadequate technology, or support, and need for training and knowledge to use the technology. The most frequent categories of opportunities related to improved access to services, benefits related to sharing of information sharing and experience and training of using technology.

DISCUSSION

Further research is needed to explore health professionals' experience of training, and to understand the type of support, resources, and training content they need to enhance their competency in telehealth provision.

Satisfied or not satisfied? Electronic health records system implementation in Ghana: Health leaders' perspective

Background

Electronic Health Records (EHR) has been espoused to be an innovation from the paper-based system, with benefits such as fast access to patient information thereby facilitating healthcare provider communication, healthcare continuity and improved quality of care. However, it is the extent of the quality of the electronic health records that determines the access to these stated benefits. The quality of health care records indirectly contributes to patient safety because inaccurate patient data can lead to improper diagnosis and consequently wrong treatment of patients. Most hospitals in Ghana, have recently transitioned into the EHR system, hence, there is a need to assess its accuracy, impact on workflow, staff training on usage, support from the EHR team, and the overall satisfaction of the EHR system. As health leaders are at the frontline of its implementation, their views on the challenges and successes of the EHR system are imperative.

Method

This qualitative study sought to explore the views of the health leaders on the implemented electronic health records system in nine (9) hospitals within three (3) regions in Ghana. Following ethical approval, GHS-ERC:007/04/21, focus group discussions were conducted with a minimum of 10 hospital leaders in each facility. These included quasi, government and private hospitals. Data was collected between September and November 2021.

Results

The study found poor quality of records, lack of involvement of frontline clinicians in the development of the EHR system, inadequate training of staff and limited workstations as some of the challenges associated with the use of EHR in hospitals. Health leaders were generally not satisfied with the EHR system.

Conclusion

It is recommended that addressing inputs from end-users as well as circulating more computers will motivate EHR usage and acceptance. Provision of additional workstations for the various units and involvement of staff in the system development would be most prudent to enable health workers to accept the EHR system in improving the quality of care.

Role of digital health insurance management systems in scaling health insurance coverage in low- and Middle-Income Countries: A case study from Nigeria

Background

Increasing global commitment to Universal Health Coverage (UHC) in the past decade has triggered UHC-inspired reforms and investments to expand health service coverage in many Low- and Middle-Income Countries (LMICs). UHC aims to ensure that all people can access quality health services, safeguard them from public health risks and impoverishment from out-of-pocket payments for healthcare when household members are sick

Aim

This paper reviews the role of health insurance as a policy tool to address health financing as a contributory mechanism for accelerating the achievement of UHC in LMICs. We focus on Nigeria's legal framework for health insurance coverage for its whole population and the role of technology in facilitating enrollment to health insurance schemes.

Methods

From May to July 2022, we adopted a cross-sectional case study design combining: (i) a literature review of the effects of UHC with (ii) document analysis of health insurance systems in Nigeria, and (iii) secondary analysis of health insurance datasets to understand experiences of deploying MedStrat, a locally-developed digital health insurance management system, and its features that support the administration of health insurance schemes in multiple states of Nigeria. We drew on contemporary technology adoption models to triangulate diverse data analyzed from literature and documents reviews and from health insurance datasets to identify: (i) enablers of adoption of digital insurance schemes, (ii) the contribution of digital technology to expanding access to health insurance, and (iii) further scalability of digital insurance intervention.

Results

Preliminary findings suggests that digital insurance management systems can help to increase the number of enrollees for insurance especially among poor households. Three contextual enablers of adoption of digital insurance schemes were a favourable policy environment, public-private-partnerships, and sustained stakeholder engagement and training.

Discussion and conclusion

Key elements for successful scaling of digital health insurance schemes across Nigeria and similar contexts include: (i) ease of use, (ii) existing digital infrastructure to support electronic insurance systems, and (iii) trust manifested via data encryption, maintaining audit trails for all data, and in-built fraud prevention processes. Our findings affirm that digital health technology can play a role in the attainment of UHC in LMICs.

Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland

During the COVID-19 pandemic, telehealth became a popular solution for the remote provision of primary care by General Practitioners (GPs) in Poland. This study aimed to assess the GPs' acceptance of telehealth during the COVID-19 pandemic in Poland and to explain the factors that drive GPs' need to implement a telehealth system in primary care using the modified Technology Acceptance Model (TAM). In Poland, 361 GPs from a representative sample of 361 clinics drawn from 21,500 outpatient institutions in Poland participated in the empirical study. Structural equation modelling (SEM) was used to evaluate the causal relationships that were formulated in the proposed model. Research has shown that Polish GPs reported a positive perception and high acceptance of the telehealth system during the COVID-19 pandemic. Overall, the results show that the social factors (image, decision autonomy, perception of patient interaction) significantly positively influence the technological factors (perceived ease of use and perceived usefulness) that influence the need to implement a telehealth system. The proposed socio-technological model can serve as a theoretical basis for future research and offer empirical predictions for practitioners and researchers in health departments, governments, and primary care settings.

Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach

An Electronic Medical Record (EMR) has the capability of promoting knowledge and awareness regarding healthcare in both healthcare providers and patients to enhance interconnectivity within various government bodies, and quality healthcare services. This study aims at investigating aspects that predict and explain an EMR system adoption in the healthcare system in the UAE through an integrated approach of the Unified Theory of Acceptance and Use of Technology (UTAUT), and Technology Acceptance Model (TAM) using various external factors. The collection of data was through a cross-section design and survey questionnaires as the tool for data collection among 259 participants from 15 healthcare facilities in Dubai. The study further utilised the Artificial Neural Networks (ANN) algorithm and the Partial Least Squares Structural Equation Modeling (PLS-SEM) in the analysis of the data collected. The study’s data proved that the intention of using an EMR system was the most influential and predictor of the actual use of the system. It was also found that TAM construct was directly influenced by anxiety, innovativeness, self-efficacy, and trust. The behavioural intention of an individual regarding EMR was also proved to positively influence the use of an EMR system. This study proves to be useful practically by providing healthcare decision-makers with a guide on factors to consider and what to avoid when implementing strategies and policies.

Identifying Barriers to the Adoption of Information Communication Technology in Ethiopian Healthcare Systems. A Systematic Review

BACKGROUND

Ethiopia's government has planned to digitize the healthcare industry. However, most implementations fail due to various technological and personnel barriers. As a result, this systematic review aimed to comprehensively examine evidence regarding the barriers to adopting information communication technology in the Ethiopian healthcare system.

METHODS

This systematic review was conducted by searching the major databases, such as Medline, PubMed, Scopus, Science Direct, Google, Google Scholar, and other online databases. The authors looked for, analyzed, and summarized information about barriers to ICT adoption in the healthcare system. This study included nine articles that described barriers to ICT adoption in the Ethiopian healthcare system.

RESULTS

This systematic review identified 15 barriers to adopting ICT in the healthcare system. The reviewed articles looked into technological barriers to ICT adoption, such as ICT skill, ICT knowledge, a lack of training opportunities, a lack of computer literacy, a lack of computer access, inadequate internet connectivity, and a lack of experience with ICT were cited as barriers to ICT implementation in Ethiopia's healthcare system. Furthermore, organizational components such as Lack of job satisfaction, Lack of Refreshment training, poor staff initiation, management problem, poor infrastructure, and lack of resources remained barriers to ICT adoption in Ethiopia's healthcare system.

CONCLUSION

This review confirmed that lack of training in ICT, poor ICT knowledge, Poor ICT skill, and a lack of computer access were the most common barriers to adopting ICT in the Ethiopian healthcare system. Therefore, it is recommended that the emphasized barriers to ICT adoption be addressed in order to modernize the current Ethiopian healthcare system.

COVID-19 Mobile Health Apps: An Overview of Mobile Applications in Indonesia

Background

Mobile health applications (mHealth apps) have been widely used for various purposes for mitigating the COVID-19 pandemic, such as self-assessment, contact tracing, disseminating information, minimizing exposure, and reducing face-to-face health consultation. The objective of this study is to systematically review COVID-19 related mHealth apps and highlight gaps to inform the development of future mHealth initiatives in Indonesia.

Methods

A systematic search strategy using a PRISMA flowchart was used to identify mHealth apps available in Google Play and Apple Play stores. We searched mHealth apps using certain specific terms related to COVID-19 outbreaks. The inclusion criteria were apps-based smartphone users related to COVID-19 using local language, free of cost, available in the Google Play and Apple Play Stores, and supported by the Indonesian government. We excluded games, apps on infectious diseases unrelated to COVID-19 specifically, and apps with non-Bahasa Indonesia (Indonesian language). The selected mHealth apps were assessed based on two measures: (1) the WHO guidelines on digital health intervention and (2) the four dimensions of the mHealth technology fit framework. In addition, user feedback from experienced and non-experienced users was conducted to evaluate four dimensions of the apps.

Results

A total of 339 mHealth apps were generated from the initial search, remaining seven selected apps that met inclusion criteria. The results highlighted that mHealth apps reviewed had still not been widely used by the general public. The applications were purposed to disseminate information, conduct a self-risk assessment, provide an online community forum, and telemedicine or teleconsultation regarding COVID-19. Data services, including data storage, aggregation, and data exchange, are available in most apps. The rarest function found was contact tracing and assisting health management and health workers, such as the availability of testing facilities, reporting test results, and prescribing medication. The main issues reported were the lack of data security and data privacy protection, integration and infrastructures, usability, and usefulness.

Conclusion

Our study highlighted the necessity to improve mHealth apps' functions related to assisting health workers and the function of digital contact tracing. An effort to increase public awareness regarding the use of mHealth is also necessary to streamline the function of this innovation. Policymakers must consider usefulness, usability, integration, and infrastructure issues to improve their mHealth function.

Assessment of Information Literacy Abilities: A Case Study of Pakistan

This study aimed to assess undergraduate students’ Information Literacy (IL) abilities in Pakistan. A survey method was employed to collect the necessary data from the population. The participants consisted of students from the Capital University of Science and Technology (CUST), COMSATS University Islamabad, Bahria University (BU) Islamabad, and the Federal Urdu University of Arts, Sciences and Technology (FUUAST). The sample consisted of 200 students, randomly selected. A questionnaire was formulated and completed individually. The results produced an alarming result for the selected institutions, as about 52% of students reported that they never went to the library. A similar situation was found across the selected universities, though with BU surpassing other universities with respect to daily use of the library. The responses to the survey indicated students were in a poor position in terms of their ability to identify information sources. Furthermore, most item scores were less than two, indicating that students’ recognition and understanding of information sources was in a dangerously precarious condition. The findings also indicated that students’ ability to access and use information for assignments, tests, examinations, and the writing of research articles was extremely limited. This could have severe implications for their learning outcomes. According to our findings, students’ ability to implement technical best practice in academic work and research was extremely limited, as was their knowledge of and practice in providing appropriate credit to original authors. On the other hand, the students’ ability to use social media applications, such as Facebook, Instagram, and LinkedIn, was relatively strong. We recommend that university libraries should be more involved in the educational process. This study should contribute considerably to the organization of different IL programs in universities to promote, develop, and improve students’ IL abilities.

Readiness of healthcare providers for e-hospitals: a cross-sectional analysis in China before the COVID-19 period

OBJECTIVES

The growth and development of smartphones and eHealth technologies have enabled the potential for extended care hospitals (e-hospitals) in China in order to facilitate the success of a primary healthcare centre (PHC)-based integrated delivery model. Although the adoption of e-hospitals is essential, few studies have directed their research towards understanding the perspectives of healthcare providers. This study aims to identify the current readiness of healthcare providers to adopt e-hospital technologies, determine the factors influencing this adoption and describe the perceived facilitators and barriers in regard to working at e-hospitals.

DESIGN

A cross-sectional study conducted in Sichuan, China, between June and September 2019.

SETTINGS

Information was collected from healthcare providers who have more than 3 years of work experience from a tertiary hospital, secondary hospital, PHCs and private hospital.

PARTICIPANTS

2298 medical professionals were included in this study.

OUTCOME MEASURE

This study included a self-administered questionnaire that was used to assess participants' sociodemographic characteristics, online medical practices, willingness to use e-hospitals and perceived facilitators/barriers to working at e-hospitals. Multivariate regression analysis was performed in order to evaluate the independent factors associated with e-hospital work.

RESULTS

Overall, 86.3% had a positive response towards working at e-hospitals. Age (p<0.05), familiarity with e-hospitals (p<0.001) and prior work practices in online healthcare settings (p<0.001) were associated with participants' readiness to work at e-hospitals. Gender, education level, professional level, the tier of their affiliated hospital and workload were not statistically associated. Healthcare providers who had positive attitudes towards e-hospitals considered improved efficiency, patient satisfaction, communication among physicians, increased reputation and income, and alleviated workload to be advantages of adoption. The participants who were unwilling to work at e-hospitals perceived lack of time, insufficient authenticity/reliability and underdeveloped policies as potential barriers.

CONCLUSION

Improving operative proficiency in electronic devices, accommodating to work schedules, increasing familiarity with e-hospitals and regulating practices will improve the readiness of healthcare providers to work at e-hospitals.

South African and international legislature with relevance to the application of electronic documentation in medicolegal autopsies for practice and research purposes

Background

Forensic and legal medicine requires all documentation to be recorded in a manner that is admissible in court. Issues surrounding privacy, confidentiality, and security mar the implementation of electronic document systems in medicine. Awareness of current legislature governing record keeping and electronic documentation especially in modern medicine and forensic medicine has not been sufficiently explored. This study explored the current South African and international laws that govern admissibility of evidence, especially relating to electronic evidence, for use in court and research,

Findings

Egypt, UK, Canada and the USA have similar legislation to South Africa regarding admissibility of electronic records. The South African Electronic Communications and Transactions Act no. 25 of 2002 defines data and the Criminal Procedure Act 51 of 1977 further defines the admissibility of evidence in court and the National Health Act regulates publication of deceased information after death.

Conclusions

Forensic medicine requires all documentation to be admissible in court and the storage of data thus requires proper custodianship and a high level of security, which can be achieved with modern technology. Modern medicine is evolving and technology can create secure and efficient methods of record keeping which will benefit forensic and legal medicine. Knowledge of the laws regarding admissibility of evidence can assist in creating electronic evidence that is permitted in court and can be used for research.

Exploring healthcare professionals' perceptions of artificial intelligence: Piloting the Shinners Artificial Intelligence Perception tool

Objective

There is an urgent need to prepare the healthcare workforce for the implementation of artificial intelligence (AI) into the healthcare setting. Insights into workforce perception of AI could identify potential challenges that an organisation may face when implementing this new technology. The aim of this study was to psychometrically evaluate and pilot the Shinners Artificial Intelligence Perception (SHAIP) questionnaire that is designed to explore healthcare professionals’ perceptions of AI. Instrument validation was achieved through a cross-sectional study of healthcare professionals (n = 252) from a regional health district in Australia.

Methods and Results

Exploratory factor analysis was conducted and analysis yielded a two-factor solution consisting of 10 items and explained 51.7% of the total variance. Factor one represented perceptions of ‘Professional impact of AI’ (α = .832) and Factor two represented ‘Preparedness for AI’ (α = .632). An analysis of variance indicated that ‘use of AI’ had a significant effect on healthcare professionals’ perceptions of both factors. ‘Discipline’ had a significant effect on Allied Health professionals’ perception of Factor one and low mean scale score across all disciplines suggests that all disciplines perceive that they are not prepared for AI.

Conclusions

The results of this study provide preliminary support for the SHAIP tool and a two-factor solution that measures healthcare professionals’ perceptions of AI. Further testing is needed to establish the reliability or re-modelling of Factor 2 and the overall performance of the SHAIP tool as a global instrument.

Factors affecting the adoption of e-health system in the Kingdom of Saudi Arabia

Background

The Saudi government is trying to implement the e-health system throughout Saudi Arabia to promote accessible health services for its population. However, adoption of the e-health system has not been effective. Thus the objective of this study was to investigate the factors that influence the adoption of e-health in this country.

Methods

To carry out this research, a questionnaire was designed to obtain information on how people in Saudi Arabia use the e-health system and the problems they face when using this technology. The questionnaire was initially viewed by 438 people and 130 of them answered the survey.

Results

The results of this research on the adoption of the e-health system in Saudi Arabia indicated that the main factors preventing the implementation of this system were mainly related to the lack of a relationship between doctors and patients, fears about the possibility of violating data privacy and a lack of government regulations. In addition, there are certain demographic factors such as age, gender, residence, income, education and culture that create obstacles in the adoption of the e-health system.

Conclusions

This study suggests that professionals should contribute to modifying the e-health system and adding more government regulatory bodies to increase adoption. This will encourage end-users to trust the system. By modifying existing strategies, the results of this study can contribute to the successful implementation of the e-health system in Saudi Arabia.

Challenges on Radical Health Redesign to Reconfigure the Level of e-Health Adoption in EU Countries

The recent worldwide COVID-19 pandemic has highlighted the importance of a performant public sector in terms of health. To achieve greater use and efficiency of health information and communication technology (ICT), the whole community of European states needs a model to develop a common strategy to support the implementation of e-health and reduce decision-making difficulties. Our research suggests such a model, starting from the level of adoption to the implementation of e-health and points out the existing disparities in the European countries regarding the difficulties of adopting e-health. We draw a composite index to assess the inequalities present in the quality of life, the public health system, and the adoption of e-health. Furthermore, to return to a hierarchy of European countries, the relative distance method (RDM) is applied by combining various classification criteria. The results identify the European countries with the highest levels of adoption (Denmark, Estonia, Spain, Sweden, Finland, and the United Kingdom), where e-health is routine, and the countries with the lowest levels of adoption (Greece, Lithuania, Luxembourg, Malta, Romania, and Slovakia), where e-health is not widespread. These results reveal critical implications in identifying solutions to reduce the gaps between countries, identifying public policies to support the adoption of e-health, and reducing difficulties in decision-making.

eHealth Implementation Issues in Low-Resource Countries: Model, Survey, and Analysis of User Experience

BACKGROUND

The implementation of eHealth in low-resource countries (LRCs) is challenged by limited resources and infrastructure, lack of focus on eHealth agendas, ethical and legal considerations, lack of common system interoperability standards, unreliable power, and shortage of trained workers.

OBJECTIVE

The aim of this study is to describe and study the current situation of eHealth implementation in a small number of LRCs from the perspectives of their professional eHealth users.

METHODS

We developed a structural equation model that reflects the opinions of professional eHealth users who work on LRC health care front lines. We recruited country coordinators from 4 LRCs to help recruit survey participants: India, Egypt, Nigeria, and Kenya. Through a web-based survey that focused on barriers to eHealth implementation, we surveyed 114 participants. We analyzed the information using a structural equation model to determine the relationships among the constructs in the model, including the dependent variable, eHealth utilization.

RESULTS

Although all the model constructs were important to participants, some constructs, such as user characteristics, perceived privacy, and perceived security, did not play a significant role in eHealth utilization. However, the constructs related to technology infrastructure tended to reduce the impact of concerns and uncertainties (path coefficient=-0.32; P=.001), which had a negative impact on eHealth utilization (path coefficient=-0.24; P=.01). Constructs that were positively related to eHealth utilization were implementation effectiveness (path coefficient=0.45; P<.001), the countries where participants worked (path coefficient=0.29; P=.004), and whether they worked for privately or publicly funded institutions (path coefficient=0.18; P<.001). As exploratory research, the model had a moderately good fit for eHealth utilization (adjusted R2=0.42).

CONCLUSIONS

eHealth success factors can be categorized into 5 groups; our study focused on frontline eHealth workers' opinions concerning 2 of these groups: technology and its support infrastructure and user acceptance. We found significant disparities among the responses from different participant groups. Privately funded organizations tended to be further ahead with eHealth utilization than those that were publicly funded. Moreover, participant comments identified the need for more use of telemedicine in remote and rural regions in these countries. An understanding of these differences can help regions or countries that are lagging in the implementation and use of eHealth technologies. Our approach could also be applied to detailed studies of the other 3 categories of success factors: short- and long-term funding, organizational factors, and political or legislative aspects.

Theories Informing eHealth Implementation: Systematic Review and Typology Classification

Background

Theory-guided approaches to implementation science have informed translation efforts and the acceptance of eHealth (digital health) interventions in clinical care. However, there is scarce evidence on which theories are best suited to addressing the inherent complexity of eHealth implementation.

Objective

The objectives of this systematic review are to identify theories that inform and explain eHealth implementation and to classify these theories using the typology by Sovacool and Hess for theories of sociotechnical change.

Methods

An electronic search was conducted in the PsycINFO, MEDLINE, Embase, CINAHL, Scopus, Sociological Source Ultimate, Web of Science, ABI/INFORM, EBSCO, and ProQuest databases in June 2019. Studies were included if they were published between 2009 and June 2019; were written in English; reported on empirical research, regardless of study or publication type; reported on one or more theories in the context of eHealth implementation; and were published in a peer-reviewed journal. A total of 2 reviewers independently assessed the titles, abstracts, and full texts. Theories identified were classified using a typology for theories of sociotechnical change, which was considered a useful tool for ordering and analyzing the diverse theoretical approaches as a basis for future theory building.

Results

Of the 13,101 potentially relevant titles, 119 studies were included. The review identified 36 theories used to explain implementation approaches in eHealth. The most commonly used approaches were the Technology Acceptance Model (TAM) (n=33) and the Unified Theory of Acceptance and Use of Technology (UTAUT) (n=32). These theories were primarily concerned with individual and interpersonal elements of eHealth acceptance. Less common were theories that reflect the various disorderly social processes and structural dimensions of implementation, such as the normalization process theory (n=17) and the structuration theory (n=6).

Conclusions

Theories currently informing the implementation of eHealth interventions predominantly focus on predicting or explaining end-user acceptance. Theoretical perspectives that capture the dense and intricate relationships and structures required to enact sustainable change are less well represented in the eHealth literature. Given the growing acknowledgment of the inherent complexity of eHealth implementation, future research should develop and test models that recognize and reflect the multidimensional, dynamic, and relational nature of this process.

Exploring healthcare professionals' perceptions of artificial intelligence: Validating a questionnaire using the e-Delphi method

Objective

The aim of this study was to draw upon the collective knowledge of experts in the fields of health and technology to develop a questionnaire that measured healthcare professionals' perceptions of Artificial Intelligence (AI).

Methods

The panel for this study were carefully selected participants who demonstrated an interest and/or involvement in AI from the fields of health or information technology. Recruitment was accomplished via email which invited the panel member to participate and included study and consent information. Data were collected from three rounds in the form of an online survey, an online group meeting and email communication. A 75% median threshold was used to define consensus.

Results

Between January and March 2019, five healthcare professionals and three IT experts participated in three rounds of study to reach consensus on the structure and content of the questionnaire. In Round 1 panel members identified issues about general understanding of AI and achieved consensus on nine draft questionnaire items. In Round 2 the panel achieved consensus on demographic questions and comprehensive group discussion resulted in the development of two further questionnaire items for inclusion. In a final e-Delphi round, a draft of the final questionnaire was distributed via email to the panel members for comment. No further amendments were put forward and 100% consensus was achieved.

Conclusion

A modified e-Delphi method was used to validate and develop a questionnaire to explore healthcare professionals' perceptions of AI. The e-Delphi method was successful in achieving consensus from an interdisciplinary panel of experts from health and IT. Further research is recommended to test the reliability of this questionnaire.

Primary Health Care Providers' Perspectives on Developing an eHealth Tool for Physical Activity Counselling: A Qualitative Study

Purpose

Physical inactivity is a global health concern. Physical activity (PA) counselling is an effective intervention for promoting PA in primary health care (PHC) settings. The use of electronic health (eHealth) technology has the potential to support PA counselling. This study aimed to explore PHC providers’ perspectives on the development of an eHealth tool to aid PA counselling in the resource-limited settings.

Methods

This qualitative study employed interpretive phenomenology. The study was conducted at hospital-based PHC clinics among physicians and registered nurses. Data collection involved in-depth interviews (IDIs) and focus group discussions (FGDs). An inductive thematic approach was used to analyze the data.

Results

Three physicians participated in three IDIs and 12 nurses participated in four FGDs at three hospitals. The median age of the participants was 43 years. Participants saw 15–100 patients/day (median 40) and spent 2–20 min with each patient (median 5). Three themes emerged. Theme 1: requirements for PA counselling: the participants reflected the needs and characteristics of eHealth tool that may support PA counselling. Theme 2: enabling an eHealth tool for PA counselling: the eHealth should be easy to use, provide PA prescription function, and support follow-up PA counselling. Theme 3: reducing barriers to PA counselling: the eHealth tool was expected to help reduce service and workforce barriers and patients’ limitations.

Conclusion

A well-designed and practical eHealth tool has the potential to improve PA counselling practice in PHC settings. The eHealth tool may affect an indirect mechanism to reduce barriers to PA counselling. Future research should focus on the usability and utility as well as the process evaluation of the PA counselling eHealth tool that will be implemented in resource-limited settings.

Integrative Factors of E-Health Laboratory Adoption: A Case of Indonesia

Around the world, the adoption of digital health applications is growing very fast. The use of e-health laboratory systems is increasing while research on the factors that impact users to use e-health laboratory systems in Indonesia has not been done much. The objective of this study is to analyze the behavioral factors of e-health laboratory users. This study includes a survey conducted on Indonesian users, and data analysis was carried out thoroughly. Based on the Technology Acceptance Model, this research framework explores a combination of variables consisting of task-driven, technology-driven, human-driven, and adoption variables to form the model proposed in this study. This model was verified using the Structural Equation Modeling (SEM) method for factor analysis, path analysis, and regression. A total of 163 respondents were collected to evaluate this research model empirically and the level of this study were individuals. These three problems are all essential in affecting usage intentions in adopting an e-health laboratory system. Specifically, task technology fit, information quality, and accessibility show a direct effect on both perceived usefulness and perceived ease of use factors perceived by the user, and have an indirect influence on the adoption of an e-health laboratory system through these two factors. The design of an online laboratory system affects perceived ease of use and personal innovativeness factors affect the perceived usefulness that users feel when adopting a laboratory system, while task technology fit and personal innovativeness factors do not affect the perceived ease of use. However, overall technology characteristic and perceived usefulness followed by design are the main predictors of adopting an e-health laboratory system on e-health systems in Indonesia.

Evaluating the Readiness of Mobile Technology with Respect to e-Heath for Medication in Saudi Arabia: An Integrative Perspective

Objective

The objective of this study was to evaluate the readiness of Saudi Arabian patients towards the adoption of the e-health system through the use of mobile phones.

Methods

In this research, a cross-sectional survey was carried out using a self-administered structured questionnaire. According to the results, 354 people viewed the questionnaire and 129 respondents were selected to assess the adoption of the e-health system in Saudi Arabia. The data were collected during February–March 2020.

Results

More than half of the respondents (63.6%) were women and almost half of the participants (48.0%) were married. Most of the surveyed patients suffered from cardiovascular diseases and diabetes. Almost all the participants (99.0%) had their personal mobile phone and used the Internet on these devices. Most of the participants did not trust or believe in online health services or online medical consultations and did not spend money on contracting health services through mobile phones. It is suggested that the lack of motivation to adopt the e-health system may be due to fear of privacy violations, fear of loss of personal data and information, lack of technical support, and mistrust in doctors who frequently use their cell phones to distract themselves during work-hours.

Conclusion

The results of this study revealed that the population of Saudi Arabia is reluctant to adopt the electronic e-health system promoted in the Saudi Vision 2030 strategic plan. To change this behavior, it is necessary to develop awareness campaigns and strategies that suggest the importance of using e-heath in the Saudi Arabian healthcare system. Additionally, it is essential that the network administrator implement procedures to protect the confidentiality and security of patients’ medical records.

Challenges for developing health-care knowledge in the digital age

Purpose

Health-care knowledge is dispersed among different departments in a health care organization, which makes it difficult at times to provide quality care services to patients. Therefore, this study aims to identify the main challenges in adopting health information technology (HIT).

Design/methodology/approach

This study surveyed 148 stakeholders in 4 key categories [patients, health-care providers, United Arab Emirates (UAE) citizens and foresight experts] to identify the challenges they face in adopting health care technologies. Responses were analyzed using exploratory (EFA) and confirmatory factor analysis (CFA).

Findings

EFA revealed four key latent factors predicting resistance to HIT adoption, namely, organizational strategy (ORGS); technical barriers; readiness for big data and the internet of things (IoT); and orientation (ORI). ORGS accounted for the greatest amount of variance. CFA indicated that readiness for big data and the IoT was only moderately correlated with HIT adoption, but the other three factors were strongly correlated. Specific items relating to cost, the effectiveness and usability of the technology and the organization were strongly correlated with HIT adoption. These results indicate that, in addition to financial considerations, effective HIT adoption requires ensuring that technologies will be easy to implement to ensure their long-term use.

Research limitations/implications

The results indicate that readiness for big data and the IoT-related infrastructure poses a challenge to HIT adoption in the UAE context. Respondents believed that the infrastructure of big data can be helpful in more efficiently storing and sharing health-care information. On the technological side, respondents felt that they may experience a steep learning curve. Regarding ORI, stakeholders expected many more such initiatives from health-care providers to make it more knowledge-specific and proactive.

Practical implications

This study has implications for knowledge management in the health -care sector for information technologies. The HIT can help firms in creating a knowledge eco-system, which is not possible in a dispersed knowledge environment. The utilization of the knowledge base that emerged from the practices and data can help the health care sector to set new standards of information flow and other clinical services such as monitoring the self-health condition. The HIT can further influence the actions of the pharmaceutical and medical device industry.

Originality/value

This paper highlights the challenges in HIT adoption and the most prominent factors. The conceptual model was empirically tested after the collection of primary data from the UAE using stakeholder theory.

The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings

BACKGROUND

The implementation of eHealth systems with a trial-and-error approach is very expensive and unsuccessful. So, this study aims to examine the constructs and relationships of the modified technology acceptance model (TAM) to determine whether it can be applied to assess health professional's behavioral intention to adopt eHealth systems in resource-limited settings or not.

METHODS

The institutional-based cross-sectional study design was conducted among a total of 384 healthcare professionals in referral hospitals of Amhara regional state, Ethiopia. Self-administered questionnaire was used to collect the data, and the data were entered using Epi-info version 7 and the descriptive data were analyzed using SPSS version 25. Structural equation modeling, using AMOS 22, was also applied to describe and validate the degree of relationships between variables.

RESULTS

The findings of the structural equation modeling (SEM) indicate that perceived usefulness has a significant influence on attitude (β =0.298, P<0.01) and intention to use eHealth (β =0.387, P<0.01). Perceived ease of use has significant influence on perceived usefulness (β=0.385, P<0.05) and attitude (β=0.347, P<0.05) and intention to use eHealth (β=0.339, P<0.01). Technical infrastructure has significant influence on attitude (β =0.412, P<0.01) and intention to use eHealth (β =0.355, P<0.01). The staffs IT experience has a significant influence on perceived usefulness (β =0.595, P<0.01) and attitude (β =0.267, P<0.05), but the effect of IT experience on the intention to use eHealth was not significant. Among all the constructs, healthcare professionals attitude towards eHealth showed the strongest effect on the intention to use eHealth systems (β = 0.52, P<0.01).

CONCLUSION

Overall, this model describes 56.2% of the variance in behavioral intention to use eHealth systems. Therefore, the implementers should give priority in enhancing the organizations technical infrastructure, staff's IT skill, and their attitude towards eHealth by giving continuous support.

Health information technology and hospital performance the role of health information quality in teaching hospitals

The research purposed in this paper is to investigate the impact of the health information technology on hospital performance through the health information quality as mediating variable, as new evidence from the teaching hospitals in the north of Jordan. Research design and methodology approach based on a survey that is conducted to collect the requested data to develop a model connect between the health information technologies, health information quality and hospital performance by using the Structural Equation Modeling approach. The research findings show that there is an intertwined and reciprocal relation between Health Information Technologies (HITs), hospital performance, and health information quality. HITs have direct positive impacts on both hospital performance and health information quality. Health information quality has also a direct impact on hospital performance. Besides, health information quality functioned as a partial mediator between HITs and hospital performance. The study did not examine the factors that influence the relationship between HITs, hospital performance and health information quality. This paper is evidence for the investor in the healthcare sector to invest more in HITs and health information quality, where the expected results are productivity improvement, performance leveraging and error reduction. The research originality is to introduce new evidence support literature form the Middle East countries is the main contribution of this paper.

Field testing of a digital health information system for primary health care: A quasi-experimental study from India

INTRODUCTION

Information and Communication Technologies (ICTs) are acknowledged as vital tools to strengthen Primary Health Care (PHC) in low- and middle-income countries (LMICs). However, these technologies have been used only for selected services. Moreover, there is limited evidence on how effective these interventions are in improving comprehensive primary health care in LMICs. Therefore, we developed an integrated digital solution and field-tested its impact on PHC services in an urban community of India.

METHODS

An integrated health information system for primary health care (IHIS4PHC) was designed on a free and open source digital platform which provided multiple features for registration of population and tracking for promotive, preventive, and curative health services (e.g. Antenatal Care, Immunization, TB, Malaria, and Hypertension Treatment etc.), and for generation of aggregate reports for real-time monitoring. The IHIS4PHC was implemented in an urban health centre of Chandigarh (India) which catered to about 25,000 population. A quasi-experimental study design was chosen for analysing the impact of IHIS4PHC on PHC services. Household sample surveys were conducted at baseline and endline in the intervention and comparison community to estimate the coverage of selected health indicators using standard questionnaires. Difference-in-difference method with adjusted generalised estimating equation was used for the assessment of the net impact of IHIS4PHC.

RESULTS

In relation to the comparison community, statistically significant (p < 0.05) increase was observed at the IHIS4PHC implementing centre in primary health care adequacy (7.2 %), and in the care-seeking behaviour for chronic illness (16.5 %). Improvements were also noticed in other health indicators such as mean blood pressure, adherence to antihypertensive medication, intake of dietary salt by hypertensives, intention to quit tobacco, and vitamin A supplementation.

CONCLUSIONS

The digital IHIS4PHC design was found to be effective in improving PHC-based health services. Therefore, IHIS4PHC like digital solutions should be considered for strengthening PHC services in LMICs.

Telemedicine in Middle Eastern countries: Progress, barriers, and policy recommendations

BACKGROUND

Despite attempts to reform the healthcare delivery system in the Middle East, expectations for its progress have been-and for some still are-somewhat slow.

OBJECTIVE

This study reviewed progress in the use and adoption of telemedicine in Middle Eastern countries. The key dimensions affecting the progress of telemedicine in these countries were identified.

METHOD

A systematic review of the literature was conducted on 43 peer reviewed articles from 2010 to 2020. The review followed the scientific process of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines of identification, selection, assessment, synthesis, and interpretation of findings.

RESULTS

The results showed that progress made in the utilization of telemedicine was insufficient and varies across Middle Eastern countries. Certain cultural, financial, organizational, individual, technological, legal, and regulatory challenges were found to prevent telemedicine from being fully used to the point where the full range of medical services can be provided. For example, doctor and patient resistance, poor infrastructure, lack of funding, poor system quality, and lack of information technology training were associated with the low adoption of telemedicine in the region.

CONCLUSION

This review provides a number of recommendations that will help policymakers to move toward the integration of innovative technologies in order to facilitate access to health information, health services, and training. It also recommends that health initiatives should focus on health education and health promotion in order to increase public awareness of the benefits of telemedicine services in the region.

An Exploratory Study of the Readiness of Public Healthcare Facilities in Developing Countries to Adopt Health Information Technology (HIT)/e-Health: the Case of Ghana

There are myriad of factors used in assessing health information technology (HIT)/e-Health of healthcare institutions in developing countries and beyond. In this paper, we intended to identify and gain a deeper understanding of factors used in assessing HIT/e-Health readiness in developing countries through the identification of contextual attributes using Ghana as an exemplary developing country. Through in-depth interviews using aide memoire as interview guide, we explored Core readiness, Engagement readiness, Technological readiness, HIT funding readiness, Regulatory and policy readiness, Workforce readiness and Change Management readiness. We adapted the systematic thematic analysis of qualitative data guide suggested by Braun and Clarke (2013) and O'Connor and Gibson (Pimatisiwin 1: 63-90, 2003) in order to generate codes and build over-arching themes. While Organizational cultural readiness was found to be a more applicable theme/factor in place of Engagement readiness and Change management readiness, Resource readiness wasalso deemed a more appropriate theme for HIT funding readiness and Workforce readiness respectively. A total of 23 factors likely to promote HIT adoption in Ghana and 29 factors capable of impeding HIT adoption in Ghana and potentially in other developing countries were identified. For effective assessment of HIT readiness factors, there is a critical need for a deeper understanding of their applicability in differing settings. The outcome of this study offers a valuable insight into improving circumstances under which HIT/e-Health is adopted. When effectually carried out, assessment of this nature could be help side-step losses on large money, effort, time, delay and importantly, dissatisfaction among stakeholders while enabling change processes healthcare institutions and communities involved. This study also contributes to the limited literature on HIT/e-Health implementation scenarios while offering basis for theory-building.

A model for evaluating eHealth preparedness – a case study approach

Purpose

This paper aims to validate an initially developed e-Health readiness assessment model.

Design/methodology/approach

The authors thematically analysed an initial qualitative data collected and used the outcome to develop survey instruments for this study. To collect the quantitative data, the authors used the drop and collect survey approach given the research setting. The quantitative data was analysed using factor and regression analyses of SPSS 23 in which hypotheses formulated were tested.

Findings

The results suggest that the model [R2 = 0.971; F (5, 214) = 1414.303], which is made up of readiness assessment factors (constructs) and measuring tools explain about 97% of the variance of the overall health information technology/e-Health adoption readiness at Komfo Anokye Teaching Hospital. The measuring tools were reliable for assessing the composite variables (constructs): technology readiness; operational resource readiness; organizational and cultural readiness; regulatory and policy readiness; and core readiness, which have significant influence on eHealth adoption readiness assessment..

Originality/value

This study has successfully validated empirically developed eHealth readiness assessment model with complete reliable indicators given that existing eHealth readiness assessment models have not been effective due to a general lack of standard indicators for measuring assessment factors. The study also contributes to the growing research on the adoption of information technology/systems in health-care environment using the Technology–Organization–Environment framework.

Narrative Review for Exploring Barriers to Readiness of Electronic Health Record Implementation in Primary Health Care

Objectives

The aim of this study is to explore the enabling factors associated with readiness in Electronic Health Record (EHR) implementation and to identify the barriers related to readiness regarding the situation of primary health cares in developed and developing countries.

Methods

A narrative review of open-source literature was conducted using the ProQuest, ScienceDirect, MEDLINE, and PMC databases to identify the enabling factors and barriers to EHR readiness. The keywords applied were 'electronic health record', 'readiness', 'primary health care', and 'primary care'.

Results

Some barriers were found that may affect readiness, specifically individual barriers and organizational barriers. In developing countries, organizational barriers such as a lack of skilled manpower, insufficient senior management, and a lack of interaction among team members were the common barriers, while in developed countries individual barriers such as unfamiliarity with new systems and a lack of time to use computers were frequently found as barriers to readiness.

Conclusions

This study summarized the enabling factors and barriers with regard to EHR readiness in developed and developing countries.

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

Background

The 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.

Method

An 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.

Results

The 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.

Conclusion

The 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.

The role of medical data in efficient patient care delivery: a review

Background

Implementing accurate data management systems ensure safe and efficient transfer of confidential health care data. However, health care professionals overlooked their important tasks of medical data processing. Hence, using high-quality electronic health record (EHR) applications in health care is important to minimize medical errors. Therefore, this review tries to indicate the roles of EHR in advancing quality health care service provisions.

Methods

The keywords identified were EHR, EMR, medical data processing, medical data retention, medical data destruction, health care, and patient care, and a few related terms with different combinations. PubMed (National Library of Medicine), Google Scholar, and Google search engine were used to search for articles from those databases. Searching was done using boolean words “AND”, “OR”, and “NOT” using all [All fields] and [MeSH Terms] searching strategies.

Results

Articles were screened using the title, checked by their abstract, and the remaining related full-text materials were included or excluded by two individuals deciding its eligibility. Finally, 73 materials issued from 2013–2018 were used for qualitatively synthesizing and reconciling the idea to produce this review article.

Conclusion

Poor medical data processing systems are the key reasons for medical errors. Employing standardized data management systems reduce errors and associated sufferings. Therefore, using electronic tools in the health care institution ensures safe and efficient data management. Therefore, it is important to establish appropriate medical data management systems for efficient health care delivery.