Development of a tripolar model of technology acceptance: Hospital-based physicians’ perspective on EHR

Does a person's body size and the application type influence healthcare students' perceptions of technologies to promote physical activity? Findings from a cross-sectional study

BACKGROUND

Recent evidence suggests that weight bias may be pervasive, even among health professionals specialized in obesity, including healthcare students. Technology-based physical activity interventions are promising for people with obesity, specifically when they are theory-driven (e.g., autonomy-supportive as described by self-determination theory). However, perceptions of these technologies have been understudied among healthcare students and professionals.

OBJECTIVE

The purpose of this study was to examine the influence of a person's body size based on body mass index and technology type on healthcare students' perceptions.

DESIGN

This is a cross-sectional, experimental study.

PARTICIPANTS AND METHODS

Five hundred and two healthcare students (360 females, 142 males; mean age = 23.3, SD = 5.0) were randomly exposed to one of four scenarios that manipulated a hypothetical person's body mass index (22 kg/m2 vs. 42 kg/m2) and a technology-based physical activity type based on self-determination theory (autonomy-supportive app vs. controlling app). They then completed measures of their perceptions of the person's app acceptability and self-efficacy and of their intention to recommend the app. Multivariate and univariate analyses of covariance were performed.

RESULTS

Students exposed to the larger-bodied people (42 kg/m2) versus the smaller-bodied people (22 kg/m2) perceived a lower level of person's app acceptability (i.e., higher social influence and less enjoyment in using the app), as well as a lower level of self-efficacy to use the technology. Students exposed to the controlling app were more likely to recommend it compared to those exposed to the autonomy-supportive app.

CONCLUSIONS

These results suggest that healthcare students' attitudes may be negatively influenced by explicit weight bias. Also, in contrast to self-determination theory precepts, a controlling app may be more frequently recommended. Further study of healthcare students' implicit attitudes toward technology is needed.

Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup

OBJECTIVE

Given the importance AI in genomics and its potential impact on human health, the American Medical Informatics Association-Genomics and Translational Biomedical Informatics (GenTBI) Workgroup developed this assessment of factors that can further enable the clinical application of AI in this space.

PROCESS

A list of relevant factors was developed through GenTBI workgroup discussions in multiple in-person and online meetings, along with review of pertinent publications. This list was then summarized and reviewed to achieve consensus among the group members.

CONCLUSIONS

Substantial informatics research and development are needed to fully realize the clinical potential of such technologies. The development of larger datasets is crucial to emulating the success AI is achieving in other domains. It is important that AI methods do not exacerbate existing socio-economic, racial, and ethnic disparities. Genomic data standards are critical to effectively scale such technologies across institutions. With so much uncertainty, complexity and novelty in genomics and medicine, and with an evolving regulatory environment, the current focus should be on using these technologies in an interface with clinicians that emphasizes the value each brings to clinical decision-making.

Technology adoption of electronic medical records in developing economies: A systematic review on physicians' perspective

Electronic Medical Records (EMRs) are a tool that could potentially improve the outcomes of patient care by providing physicians with access to up-to-date and accurate vital patient information. Despite this potential, EMR adoption in developing economies has been dilatory. This systematic review aims to synthesize the related literature on the adoption of EMRs in developing economies, with a focus on the perspective of physicians. With the aim to discern the key factors that impact EMR adoption as perceived by physicians and to offer guidance for future research on filling any gaps identified in the existing literature, this study utilized a systematic literature review by following the PRISMA guidelines. Out of 1160 initial articles, 21 were selected for analysis after eliminating duplicates and non-qualifying articles. Results show that common enablers of EMR adoption from physicians' perspective were identified to be computer literacy, education, voluntariness, and the system functionality including its features and user interface, implying that the provision of proper interventions focusing on the aspects of the health information system has an impact in maximizing the utilization and capabilities of EMRs among healthcare providers. The most prevalent barriers include the lack of training and IT usage experience along with resistance to changes associated with respondents' age and gender, the lack of time for learning complex EMR systems, and costs of the new technology. This indicates that a thorough planning and proper budget allocation is necessary prior to implementing and integrating EMR systems in healthcare institutions. From this synthesis of the common research conclusions, limitations, and recommendations from physicians' perspective, the result of this systematic review is expected to shed light on the optimal technology adoption of EMRs and its contribution to the health care systems of developing economies.

The NORDeHEALTH 2022 Patient Survey: Cross-Sectional Study of National Patient Portal Users in Norway, Sweden, Finland, and Estonia

BACKGROUND

Although many surveys have been conducted on patients accessing their own health records in recent years, there is a limited amount of nationwide cross-country data available on patients' views and preferences. To address this gap, an international survey of patient users was conducted in the Nordic eHealth project, NORDeHEALTH.

OBJECTIVE

We aimed to investigate the sociodemographic characteristics and experiences of patients who accessed their electronic health records (EHRs) through national patient portals in Norway, Sweden, Finland, and Estonia.

METHODS

A cross-sectional web-based survey was distributed using the national online health portals. The target participants were patients who accessed the national patient portals at the start of 2022 and who were aged ≥15 years. The survey included a mixture of close-ended and free-text questions about participant sociodemographics, usability experience, experiences with health care and the EHR, reasons for reading health records online, experience with errors, omissions and offense, opinions about security and privacy, and the usefulness of portal functions. In this paper, we summarized the data on participant demographics, past experience with health care, and the patient portal through descriptive statistics.

RESULTS

In total, 29,334 users completed the survey, of which 9503 (32.40%) were from Norway, 13,008 (44.35%) from Sweden, 4713 (16.07%) from Finland, and 2104 (7.17%) from Estonia. National samples were comparable according to reported gender, with about two-thirds identifying as women (19,904/29,302, 67.93%). Age distributions were similar across the countries, but Finland had older users while Estonia had younger users. The highest attained education and presence of health care education varied among the national samples. In all 4 countries, patients most commonly rated their health as "fair" (11,279/29,302, 38.48%). In Estonia, participants were more often inclined to rate their health positively, whereas Norway and Sweden had the highest proportion of negative health ratings. Across the whole sample, most patients received some care in the last 2 years (25,318/29,254, 86.55%). Mental health care was more common (6214/29,254, 21.24%) than oncological care (3664/29,254, 12.52%). Overall, most patients had accessed their health record "2 to 9 times" (11,546/29,306, 39.4%), with the most frequent users residing in Sweden, where about one-third of patients accessed it "more than 20 times" (4571/13,008, 35.14%).

CONCLUSIONS

This is the first large-scale international survey to compare patient users' sociodemographics and experiences with accessing their EHRs. Although the countries are in close geographic proximity and demonstrate similar advancements in giving their residents online records access, patient users in this survey differed. We will continue to investigate patients' experiences and opinions about national patient-accessible EHRs through focused analyses of the national and combined data sets from the NORDeHEALTH 2022 Patient Survey.

A model to improve user acceptance of e-services in healthcare systems based on technology acceptance model: an empirical study

Improving the quality of electronic services (e-services) is essential when dealing with unforeseen factors and uncertainties in healthcare, such as the outbreak of coronavirus (COVID-19) and changes in the needs and expectations of patients. This paper presents a comprehensive conceptual model in healthcare systems for improving the user acceptance of e-services. A model referred to as the technology acceptance model (TAM) is considered that includes several factors. The factors are computer literacy, website quality, service quality, user attitude, perceived enjoyment, and user satisfaction. According to the collected data and the performed analysis, the fit indices of this survey reveal that the conceptual model has an acceptable fit. The findings are as follows. Computer literacy has positive effects on perceived enjoyment and ease of use. Website quality has positive effects on perceived enjoyment, ease of use, and user satisfaction. Perceived enjoyment has a positive effect on perceived usefulness. Ease of use has positive effects on the usefulness, willingness to use e-services, and user attitude. User satisfaction has a positive effect on user attitude. Perceived usefulness has a positive effect on the willingness to use e-services. Finally, among these variables, only the user attitude has no significant effect on the willingness to use e-services in the healthcare system. Therefore, to promote performance quality and to motivate people to use e-services, healthcare managers should improve these factors.

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.

Blockchain Technology in Healthcare: An Analysis of Strengths, Weaknesses, Opportunities, and Threats

SUMMARY

The dawn of the crypto age has highlighted the potential of blockchain technology in an array of functions for multiple industries. Blockchain technology disrupts existing architecture by offering an efficient and decentralized data management platform. It provides a potential solution to current health information technology problems. The strengths of blockchain are interoperability, data accuracy, security, and transparency. Its weaknesses include a lack of standardization, accessibility, ownership, and change management. Applications in healthcare include revenue cycle management, physician credentialing, electronic health records, and supply chain management, although potential government regulation and internal attacks pose threats to its wider adoption.

Online health information-seeking behaviour: an empirical study of managerial-level employees in Sri Lanka

Purpose

Over the past few years, the internet has expanded rapidly, and it has been considered a systematic way that consumers use to retrieve health-related information. However, the existing literature does not provide an articulated view of online health information-seeking behaviour through an in-depth understanding of users’ searching-related behaviour. The objectives of this study are to identify the factors affecting consumers’ health-related internet use and recognise the relationships between those specified and health-related internet use. Finally, the recommendations are made based on the findings.

Design/methodology/approach

An amalgamated model of technology acceptance model and health belief model was used to hypothesise health-related internet use behaviour, which is then tested using a cross-sectional survey of 287 Sri Lankan managerial-level employees. The covariance-based structural equation modelling with AMOS was used to check the study hypotheses.

Findings

Findings of this study depict five factors contributing to consumers’ health-related internet use as follows: perceived health risk towards chronic diseases consisting of perceived susceptibility and perceived severity; health consciousness; perceived usefulness of the internet; perceived ease of internet use; and attitude towards health-related internet use. As theorised, the internet’s perceived usefulness was positively and significantly related to consumers’ use of health-related internet and attitude towards health-related internet use. But as hypothesised, perceived ease of internet use did not directly affect consumers’ use of health-related internet. Further, findings reveal that health-related internet use is estimated by perceived health risk than health consciousness.

Originality/value

Findings reveal that Sri Lankan managerial-level employees have a reactive health behaviour driven by the perceived health risk and the desire to seek online health information.

Exploring Surgeons', Nurses', and Patients' Information Seeking Behavior on Medical Innovations: The Case of 3D Printed Biodegradable Implants in Breast Reconstruction

Objectives

To explore information seeking behavior on medical innovations.

Background

While autologous and alloplastic options for breast reconstruction are well established, it is the advent of the combination of 3D printing technology and the biocompatible nature of a highly porous biodegradable implants that offers new treatment options for the future. While this type of prosthesis is not yet clinically available understanding how patients, surgeons, and nurses take up new medical innovations is of critical importance for efficient healthcare provision.

Materials and Methods

Using the largest ever combined sample of breast cancer patients (n = 689), specialist surgeons (n = 53), and breast care nurses (n = 101), we explore participants preference for a new surgical treatment concept rooted in 3D printed and biodegradable implant technologies in the context of breast reconstruction.

Results

We find that patients overwhelmingly favor information from a successful patient of the proposed new technology when considering transitioning. Surgeons and nurses instead favor regulatory body advice, peer-reviewed journals, and witnessing the procedure performed (either in person or online). But while 1 in 4 nurses nominated talking to a successful patient as an information source, not a single surgeon chose the same. Our multinomial logit analysis exploring patient preference (controlling for individual differences) showed statistically significant results for both the type of surgical treatment and choice to undergo reconstruction. Women who underwent a type of mastectomy procedure (compared with lumpectomy patients) were more likely to choose a former patient than a surgeon for seeking information relating to a new breast implant technology. Further, women who chose to undergo a reconstruction procedure, compared with those who did not, where more likely to prefer a surgeon for information relating to a new breast implant technology, rather than a successful patient. For medical professionals, we find no statistically significant relationship between medical professionals' preference and their age, nor the number of other medical professionals they work with daily, nor the average number of breast procedures performed in their practice on a weekly basis.

Conclusions

As our findings show large variation exists (both within our patient group and compared with medical professionals) in where individuals favor information on new medical innovations, future behavioral research is warranted.

Assessing patient readiness for a patient portal implementation in the UAE

Purpose

This paper proposes a Web-based patient portal based on the electronic medical record. Such a portal can allow patients to manage their own health care, reduce health-care visits and significantly improve the quality of their health care.

Design/methodology/approach

A patient portal prototype and an accompanying online survey were distributed to assess the adoption readiness among a group of people in the United Arab Emirates (UAE).

Findings

The results from 470 survey participants demonstrated an enhanced awareness of this technology, and support the study hypotheses indicating that both intrinsic and extrinsic factors are important when considering the implementation of a patient portal in the UAE.

Originality/value

This study adds value to the few research studies undertaken in the Middle East discussing online health information technology and its adoption and usage among the population at large. The extended technology acceptance model, which contains two additional constructs, had not been previously validated in terms of a patient portal in the UAE, according to the author’s knowledge, adding more value. The UAE’s health-care system must use the benefits from the available IT infrastructure to provide a user-friendly online portal to encourage patients to manage their health care and health information.

Technology Acceptance in Healthcare: A Systematic Review

Understanding the factors affecting the use of healthcare technologies is a crucial topic that has been extensively studied, specifically during the last decade. These factors were studied using different technology acceptance models and theories. However, a systematic review that offers extensive understanding into what affects healthcare technologies and services and covers distinctive trends in large-scale research remains lacking. Therefore, this review aims to systematically review the articles published on technology acceptance in healthcare. From a yield of 1768 studies collected, 142 empirical studies have met the eligibility criteria and were extensively analyzed. The key findings confirmed that TAM and UTAUT are the most prevailing models in explaining what affects the acceptance of various healthcare technologies through different user groups, settings, and countries. Apart from the core constructs of TAM and UTAUT, the results showed that anxiety, computer self-efficacy, innovativeness, and trust are the most influential factors affecting various healthcare technologies. The results also revealed that Taiwan and the USA are leading the research of technology acceptance in healthcare, with a remarkable increase in studies focusing on telemedicine and electronic medical records solutions. This review is believed to enhance our understanding through a number of theoretical contributions and practical implications by unveiling the full potential of technology acceptance in healthcare and opening the door for further research opportunities.

Building Primary Health Care Personnel's Support for a Patient Portal While Alleviating eHealth-Related Stress: Survey Study

Background

Health care personnel’s (HCP) engagement in patient portal implementation is necessary in embedding the use of the portal in everyday practices of a health care organization. While portal implementation may raise personnel’s positive expectations of the benefits in patient care, it is often also stressful for them due to increased workloads and disruptions in clinical workflows. An understanding of social and technical factors that build personnel’s support for patient portal implementation and alleviate their eHealth-related stress is therefore needed to realize the full potential of portals.

Objective

The aim of this study was to explore the influence of managerial implementation practices, information technology (IT) usability, and personnel’s eHealth competences on support for patient portal implementation and eHealth-related stress among primary HCP.

Methods

The data were collected through a survey of 919 members at 2 health organizations in Finland. Linear and logistic regression models were fitted to study the associations between the variables.

Results

Professionals’ eHealth competence (β=.15, P<.001), usability (β=.11, P<.001), and implementation practices (β=.07, P<.001) were positively associated with professionals’ support and negatively associated with professionals eHealth-related stress (β=−.07, P=.010; β=−.27, P<.001; and β=−.14, P<.001, respectively). Professionals’ support was associated with their promotion of the portal to the patients (odds ratio 1.22, 95% CI 1.07-1.40).

Conclusions

The adoption of appropriate implementation practices and the usability of the technology can build personnel’s support for a patient portal and alleviate their stress related to eHealth. Personnel’s support is manifested in their promotion of the portal to patients. Health care managers are encouraged to consider the usability of the technology and the good implementation practices, such as proper informing, engagement of the personnel in planning the services, and allocation of resources to improve eHealth competence, as prerequisites for meaningful and sustainable use of patient portals.

Physicians' Attitude towards Electronic Medical Record Systems: An Input for Future Implementers

Background

Electronic medical record (EMR) systems offer the potential to improve health care quality by allowing physicians real-time access to patient healthcare information. The endorsement and usage of EMRs by physicians have a significant influence on other user groups in the healthcare system. As a result, the purpose of this study was to examine physicians' attitudes regarding EMRs and identify the elements that may influence their attitudes.

Method

An institutional-based cross-sectional study design supplemented with a qualitative study was conducted from March 1 to April 30, 2018, among a total of 403 physicians. A self-administered questionnaire was used to collect quantitative data. The validity of the prediction bounds for the dependent variable and the validity of the confidence intervals and P values for the parameters were measured with a value of less than 0.05 and 95 percent of confidence interval. For the supplementary qualitative study, data were collected using semistructured in-depth interviews from 11 key informants, and the data were analyzed using thematic analysis.

Result

Physicians' computer literacy (CI: 0.264, 0.713; P: 0001) and computer access at work (CI: 0.141, 0.533, P: 0.001) were shown to be favorable predictors of their attitude towards EMR system adoption. Another conclusion from this study was the inverse relationship between physicians' prior EMR experience and their attitude about the system (CI: -0.517, -0.121; P: 0.002).

Conclusion

According to the findings of this study, physicians' attitudes regarding EMR were found moderate in the studied region. There was a favorable relationship between computer ownership, computer literacy, lack of EMR experience, participation in EMR training, and attitude towards EMR. Improving the aforementioned elements is critical to improving physicians' attitudes regarding EMR.

What factors predict physicians' utilization behavior of contrast-enhanced ultrasound? Evidence from the integration of the Theory of Planned Behavior and Technology Acceptance Model using a structural equation modeling approach

BACKGROUND

The promotion of early diagnosis is undoubtedly effective in reducing the burden of disease. Contrast-enhanced ultrasound (CEUS) is a diagnostic technology for liver cancer, but its implementation faces some challenges. Understanding the influencing factors of CEUS utilization is crucial for its successful implementation. However, such research is rare. The aims of this study were to investigate the status of CEUS utilization and its predictors in China.

METHODS

Through multistage random sampling, a cross-sectional study design was conducted among physicians in charge of direct use of CEUS working at liver disease-related departments of sampled health institutions. To access the potential influencing factors of physicians' CEUS utilization, a structured questionnaire was developed based on the theoretical model, which was developed by integration of the Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM). Structural equation modeling was used to verify the proposed hypotheses, and analyze the relationship and mechanism between the factors.

RESULTS

A total of 309 physicians were enrolled. The mean score of utilization behavior was 2.04 (SD = 1.07), and 37.22% above the mean. The favorable fitting results demonstrated that the integration of TAM and TPB was an acceptable model. SEM results also identified physicians' intentions to use CEUS was directly associated with utilization behavior (β = 0.287, P < 0.001). Attitude (β = 0.272, P < 0.001), subjective norm (β = 0.172, P = 0.013), perceived behavioral control (β = 0.491, P < 0.001) and perceived usefulness (β = 0.108, P = 0.027) significantly influenced physicians' intentions. Besides, subjective norm (β = 0.065, P = 0.021), perceived behavioral control (β = 0.141, P = 0.003), and perceived ease of use (β = 0.022, P = 0.033) indirectly affected physicians' CEUS utilization.

CONCLUSIONS

The findings provide a reference for understanding the factors associated with physicians' utilization of CEUS. Additionally, the proposed measures such as building innovative and incentive environment, providing high quality and adequate training, etc., will help promote the utilization of CEUS, thereby increasing the detection rate of liver cancer, and improving the survival rate and the quality of life for liver cancer patients.

Searching for New Model of Digital Informatics for Human-Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM)

The fourth industrial revolution has produced new information technology (IT) that is widely used in the healthcare industry. Although the nature of the institution affects IT adoption, the Technology Acceptance Model (TAM), a dominant theory, has dismissed its role and influence. Our research investigates how institutions influence the adoption of new IT by using the Institution-based Technology Acceptance Model (ITAM). We conducted an empirical test by using survey data collected from 300 employees in the public sector. Structural equation modeling was applied to test the proposed hypotheses. The results showed the total effect of institutions on the intention to use new IT is positive and significant. Second, IT adoption is not only affected by external institutions but also by type of institution; the external institution takes a greater role in inducing perceived usefulness, perceived ease of use, and intention to use than does the internal. Third, perceived ease of use and perceived usefulness play mediating roles between institution and IT adoption. Fourth, an alternative expanded model to which more individual and organizational factors were added confirmed the results of the base model. We concluded that institutions have a strong impact on the level of intention for IT use through perceived ease of use and perceived usefulness.

Examining the acceptance of an integrated Electronic Health Records system: Insights from a repeated cross-sectional design

BACKGROUND AND PURPOSE

Hospital staff's acceptance of an integrated Electronic Health Records system (EHR) is a critical success factor to exploit the benefits EHRs can offer. This study employs a repeated cross-sectional design to differentiate between the enablers and barriers of EHR acceptance prior to EHR implementation and those that arise over time by testing a theoretical model specifically tailored to the EHR context.

METHODS

A repeated cross-sectional design, consisting of one measurement of staff's acceptance before and two after EHR implementation, was employed in a Belgian hospital. To test the theoretical model, partial least squares structural equation modelling (PLS-SEM) was used. Furthermore, partial least squares multigroup analyses (PLS-MGA) and permutation tests were applied to examine whether the relations in the model vary significantly over time.

RESULTS

The formulated model explains up to 80 % of the variance in hospital staff's attitude towards the EHR. The extent to which the EHR leads to administrative simplification outperforms the core technology acceptance variables. Furthermore, support was found for the significant role of implementation factors (i.e. communication quality and training) and prior IT experiences in explaining EHR acceptance. Finally, the results show significant evolutions in path coefficients over time. An important trade-off between effort expectancy and performance expectancy was revealed, meaning effort expectancy is the most important determinant of hospital staff's attitude towards the EHR, but once the EHR has been implemented performance expectancy becomes more important.

CONCLUSIONS

The results of testing the hypothesized model reveal the importance of taking into account hospital staff's perception of the extent to which the EHR generates administrative simplification, a combination of implementation factors, and attitude towards technology in general when assessing the acceptance of an EHR. Moreover, the results highlight the importance of conducting repeated cross-sectional or longitudinal technology acceptance research as relations between core variables vary significantly over time, which implies hospital management and healthcare technology providers should adjust their policy throughout the various implementation stages.

Overcoming Resistance to Big Data and Operational Changes Through Interactive Data Visualization

Research has shown that the use of big data can modify operational processes in organizations. However, little research has been conducted on overcoming resistance to the process changes needed for adoption of big data technologies. In this article, we address this gap in the literature by investigating the impact of interactive data visualization on decision-making around operational process changes with big data. Our goal is to demonstrate how the choice of visualization of workflow and operational processes impacts decisions to embrace real-time, big data technology. To do so, we conduct a case study of patient/provider interactions in a large health care practice and compare the initial state with a revised workflow using a big data, real-time analytics platform. We then investigate the impact of the data visualization strategy on decision-making to implement operational changes caused by big data. The study demonstrates that interactive data visualization of operational processes can be an enabler in overcoming organizational resistance to big data technologies in a change-resistant organization. The concomitant benefit is that big data analytics is placed directly into the hands of primary decision makers.

A model to measure self-assessed proficiency in electronic medical records: Validation using maturity survey data from Canadian community-based physicians

OBJECTIVE

Adoption of electronic medical records (EMRs) does not necessarily translate to proficiency -referred to here as EMR maturity. To realize the full benefit of wide scale EMR adoption, the focus must shift from adoption to advancing mature use. This calls for validated assessment models so that researchers, health system planners and digital health developers can better understand what contributes to maturity among physicians. This research aims to validate a measurement model for self-assessed EMR maturity among community-based physicians.

METHODS

As part of an Ontario government-funded EMR adoption program, the EMR Maturity Model for community-based practices was adapted from a hospital-based EMR maturity model. A survey instrument was developed on the foundation of the new model and revised by experts and stakeholders. Content validity, face validity and user acceptance were established before survey administration. Internal consistency and construct validity of the model were tested after survey data were collected. Finally, physicians' comments collected via the survey were qualitatively analyzed to provide additional insights that can be applied to refinement of the model and survey.

RESULTS

As of August 1, 2019, 1588 physicians completed the survey. Ordinal alpha tests for reliability and content validity yielded an alpha value of 0.86 across all key measures specifically associated with maturity. Among most of these, there was a pattern of weak to moderate significant (p < .0001) positive Spearman inter-correlations. One factor was extracted for items measuring dimensions of maturity and all factor loadings of the key measures were greater than 0.40. The fit of the one-factor model was moderately adequate. This indicates the model is valid and reliable, with consistency across key measures for measuring one factor: maturity.

CONCLUSIONS

This is the first known validated model published in English that measures EMR maturity among community-based physicians. While the model is shown to be valid and reliable statistically and qualitative analysis supports this, there is room for improvement. Both the statistical analysis and portions of the qualitative analysis suggest areas of exploration to strengthen the model and survey. Future efforts will include refining the survey to improve user interface and accrue further data, as the sample to date is insufficient for generalizability.

The inhibiting effects of resistance to change of disability determination system: a status quo bias perspective

Background

Information systems implementation projects have been historically plagued by failures for which user resistance has consistently been identified as a salient reason. Most prior studies investigated either the causes or the consequences of Resistance to Change (RTC) of medical related Information Systems. In this study, we simultaneously explore the causes and impacts of RTC of Disability Determination System (DDS).

Methods

This study adopts the Status Quo Bias perspective and combines the information systems usage model and Technology Acceptance Model (TAM) as theoretical foundation to investigates the causes and impacts of users’ RTC on their intention to use the DDS. Data were obtained through internet questionnaire survey. Totally, 326 respondents from 22 local governments and 142 hospitals were collected, of which 252 were valid samples and were analyzed using structure model analysis.

Results

The research model is proved with eight out of 11 hypotheses being supported. The antecedents of RTC can explain 21.4% of the RTC variation, and the RTC impacts can explain 57.5% of the variation of intention to use DDS.

Conclusions

Combining the Status Quo Bias perspective and key component of TAM provides an adequate explanation of adopting intention of changing systems and extend the existing knowledge of information systems adoption. The results provide as a reference for managing users’ RTC and enhance the effects and efficiency of new systems adoption.

Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF

BACKGROUND

Healthcare wearable devices (HWDs) enable continuous monitoring of consumers' health signals and have great potential to improve the efficiency and quality of healthcare. However, factors influencing consumer acceptance of HWDs are not well understood. Moreover, extant studies seem to fail to consider whether an HWD has appropriate functions to fit the requirements of consumers' healthcare activities.

OBJECTIVES

The objective of this study was to develop and empirically test a model by integrating the Unified Theory of Acceptance and Usage of Technology (UTAUT) and Task-Technology Fit (TTF) models to understand how consumers accept HWDs.

METHODS

A self-administered questionnaire was designed based on validated measurement scales. Data from 406 valid samples were analyzed using partial least squares structural equation modeling.

RESULTS

The results indicated that performance expectancy, effort expectancy, facilitating conditions, social influence, and task-technology fit positively affected consumers' behavioral intention to use HWDs, and together accounted for 68.0 % of its variance. Both task and technology characteristics were significant determinants of task-technology fit and exerted impacts on behavioral intention through the mediating roles of task-technology fit and effort expectancy.

CONCLUSIONS

The key findings showed that consumer acceptance of HWDs was affected by both users' perceptions (i.e., performance expectancy, effort expectancy, social influence and facilitating conditions) and the task-technology fit. The theoretical and practical implications and contributions were provided for future researchers and practitioners to increase consumers' use of HWDs in their healthcare activities.

Attitudes and Perceptions of General Practitioners towards the National Electronic Health Record (NEHR) in Singapore

Background: In Singapore, the National Electronic Health Record (NEHR) was launched in 2011. The central ethos of the initiative was that of “One Patient, One Health Record”, as NEHR allows registered doctors to review and upload patient data. However, uptake of the system has been slow in the private sector, with only 27% of doctors with private licenses, including general practitioners (GP) and specialists in the ambulatory care setting, accessing it. A questionnaire-based study was therefore conducted to find out the proportion of GP who used NEHR, and the barriers faced by those who do not. Methods: This study involved a self-administered questionnaire, randomly sampling private GP in Singapore. The questionnaire ascertained the number of GP who used NEHR and gathered their demographic information. A 5-point Likert scale was used to measure the perceived barriers to NEHR use. Results: Of the 315 responses, multinomial logistics regression showed that solo-practising GP who were >40 years old and who had practised for >15 years were less likely to review, or review and upload, data onto NEHR. Doctors who regarded themselves as computer users with lower levels of technical aptitude and those who perceived an inadequate level of support were less likely to use the NEHR. The majority of GP had a positive attitude towards NEHR. Conclusions: This study highlighted key demographics and perceived barriers affecting NEHR use. By raising awareness of these issues to policy makers and working to overcome these barriers, NEHR use may be increased.

REISCH: Incorporating Lightweight and Reliable Algorithms into Healthcare Applications of WSNs

Healthcare institutions require advanced technology to collect patients’ data accurately and continuously. The tradition technologies still suffer from two problems: performance and security efficiency. The existing research has serious drawbacks when using public-key mechanisms such as digital signature algorithms. In this paper, we propose Reliable and Efficient Integrity Scheme for Data Collection in HWSN (REISCH) to alleviate these problems by using secure and lightweight signature algorithms. The results of the performance analysis indicate that our scheme provides high efficiency in data integration between sensors and server (saves more than 24% of alive sensors compared to traditional algorithms). Additionally, we use Automated Validation of Internet Security Protocols and Applications (AVISPA) to validate the security procedures in our scheme. Security analysis results confirm that REISCH is safe against some well-known attacks.

Error by omission: A lack of integration across implementation and use in structuring health information technology contracts

Limited work identifies best practices to assess functional electronic health record system performance when contracting for health information technology and information technology-related services. Without a set of best practices or specific contracting provisions to assess the performance of electronic health record systems, healthcare providers will not be able to fully leverage the performance of these systems to reduce the cost of care and improve patient outcomes. This work seeks to provide operational considerations and best practices when forming teams to negotiate health information technology system specifications in contracts. To better understand the contracting and performance assessment process, we conducted a cross-sectional survey of eligible healthcare personnel. Our study highlights a potential disconnect between respondents setting contract structure, knowledge of ongoing functional performance assessments in practice, and the relationship to those with direct system involvement to avoid potential legal risk.

Cross-sectional study of the quality of neonatal care services in Armenia

PURPOSE

The purpose of this paper is to report the assessment results of the quality of neonatal care services in Armenia and to describe the identified obstacles to improving the quality of care for newborn infants.

DESIGN/METHODOLOGY/APPROACH

The study carried out a cross-sectional descriptive design. The data were collected in health facilities with different levels of neonatal care that were selected employing a multi-stage, stratified purposeful sampling design. The quality of neonatal services was assessed using the generic WHO tool. Data collection was performed using face-to-face semi-structured interviews, hospital statistics, medical records and direct observations.

FINDINGS

In 31 study hospitals, 31,976 deliveries were performed resulting in 31,701 live births and 734 stillbirths. About 85 percent of all neonatal deaths was attributable to early neonatal deaths with over 48 percent occurring during the first 24 h of life. The proportion of neonatal deaths was highest in infants with low birth weight constituting 92.8 percent of all neonatal deaths. The total neonatal mortality rate was 3.50 per 1,000 live births, whereas stillbirth rate and perinatal mortality rate were 22.60 and 25.26 per 1,000 total births in 2015. Specific indicators with relatively lower mean scores included neonatal resuscitation, early breastfeeding, monitoring of newborn conditions, neonatal sepsis, feeding standards, total parenteral nutrition, and infection treatment.

ORIGINALITY/VALUE

Given the limited scope of research on quality assessment, this paper provides valuable information on the status of quality of neonatal care services in Armenian health facilities. This work also extends the existing studies focused on quality assessment through applying the model of Avedis Donabedian with the structure-process-outcomes approach as a theoretical basis.

An Approach for Data Mining of Electronic Health Record Data for Suicide Risk Management: Database Analysis for Clinical Decision Support

BACKGROUND

In an electronic health context, combining traditional structured clinical assessment methods and routine electronic health-based data capture may be a reliable method to build a dynamic clinical decision-support system (CDSS) for suicide prevention.

OBJECTIVE

The aim of this study was to describe the data mining module of a Web-based CDSS and to identify suicide repetition risk in a sample of suicide attempters.

METHODS

We analyzed a database of 2802 suicide attempters. Clustering methods were used to identify groups of similar patients, and regression trees were applied to estimate the number of suicide attempts among these patients.

RESULTS

We identified 3 groups of patients using clustering methods. In addition, relevant risk factors explaining the number of suicide attempts were highlighted by regression trees.

CONCLUSIONS

Data mining techniques can help to identify different groups of patients at risk of suicide reattempt. The findings of this study can be combined with Web-based and smartphone-based data to improve dynamic decision making for clinicians.

Acceptance of Online Medical Websites: An Empirical Study in China

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

Caring electronically for young outpatients who have epilepsy

PURPOSE

The purpose of this study was to review electronic tools that might improve the delivery of epilepsy care, reduce medical care costs, and empower families to improve self-management capability.

METHOD

We reviewed the epilepsy-specific literature about self-management, electronic patient-reported or provider-reported outcomes, on-going remote surveillance, and alerting/warning systems.

CONCLUSIONS

The improved care delivery system that we envision includes self-management, electronic patient (or provider)-reported outcomes, on-going remote surveillance, and alerting/warning systems. This system and variants have the potential to reduce seizure burden through improved management, keep children out of the emergency department and hospital, and even reduce the number of outpatient visits.

mHealth Self-Report Monitoring in Competitive Middle- and Long-Distance Runners: Qualitative Study of Long-Term Use Intentions Using the Technology Acceptance Model

Background

International middle- and long-distance running competitions attract millions of spectators in association with city races, world championships, and Olympic Games. It is therefore a major concern that ill health and pain, as a result of sports overuse, lead to numerous hours of lost training and decreased performance in competitive runners. Despite its potential for sustenance of performance, approval of mHealth self-report monitoring (mHSM) in this group of athletes has not been investigated.

Objective

The objective of our study was to explore individual and situational factors associated with the acceptance of long-term mHSM in competitive runners.

Methods

The study used qualitative research methods with the Technology Acceptance Model as the theoretical foundation. The study population included 20 middle- and long-distance runners competing at national and international levels. Two mHSM apps asking for health and training data from track and marathon runners were created on a platform for web survey development (Briteback AB). Data collection for the technology acceptance analysis was performed via personal interviews before and after a 6-week monitoring period. Preuse interviews investigated experience and knowledge of mHealth monitoring and thoughts on benefits and possible side effects. The postuse interviews addressed usability and usefulness, attitudes toward nonfunctional issues, and intentions to adhere to long-term monitoring. In addition, the runners’ trustworthiness when providing mHSM data was discussed. The interview data were investigated using a deductive thematic analysis.

Results

The mHSM apps were considered technically easy to use. Although the runners read the instructions and entered data effortlessly, some still perceived mHSM as problematic. Concerns were raised about the selection of items for monitoring (eg, recording training load as running distance or time) and about interpretation of concepts (eg, whether subjective well-being should encompass only the running context or daily living on the whole). Usefulness of specific mHSM apps was consequently not appraised on the same bases in different subcategories of runners. Regarding nonfunctional issues, the runners competing at the international level requested detailed control over who in their sports club and national federation should be allowed access to their data; the less competitive runners had no such issues. Notwithstanding, the runners were willing to adhere to long-term mHSM, provided the technology was adjusted to their personal routines and the output was perceived as contributing to running performance.

Conclusions

Adoption of mHSM by competitive runners requires clear definitions of monitoring purpose and populations, repeated in practice tests of monitoring items and terminology, and meticulousness regarding data-sharing routines. Further naturalistic studies of mHSM use in routine sports practice settings are needed with nonfunctional ethical and legal issues included in the evaluation designs.

The intention to use an electronic health record and its antecedents among three different categories of clinical staff

Background

Like other sectors, the healthcare sector has to deal with the issue of users’ acceptance of IT. In healthcare, different factors affecting healthcare professionals’ acceptance of software applications have been investigated. Unfortunately, inconsistent results have been found, maybe because the different studies focused on different IT and occupational groups. Consequently, more studies are needed to investigate these implications for recent technology, such as Electronic Health Records (EHR).

Methods

Given these findings in the existing literature, we pose the following research question: “To what extent do the different categories of clinical staff (physicians, paraprofessionals and administrative personnel) influence the intention to use an EHR and its antecedents?” To answer this research question we develop a research model that we empirically tested via a survey, including the following variables: intention to use, ease of use, usefulness, anxiety, self-efficacy, trust, misfit and data security. Our purpose is to clarify the possible differences existing between different staff categories.

Results

For the entire personnel, all the hypotheses are confirmed: anxiety, self-efficacy, trust influence ease of use; ease of use, misfit, self-efficacy, data security impact usefulness; usefulness and ease of use contribute to intention to use the EHR. They are also all confirmed for physicians, residents, carers and nurses but not for secretaries and assistants. Secretaries’ and assistants’ perception of the ease of use of EHR does not influence their intention to use it and they could not be influenced by self-efficacy in the development of their perception of the ease of use of EHR.

Conclusions

These results may be explained by the fact that secretaries, unlike physicians and nurses, have to follow rules and procedures for their work, including working with EHR. They have less professional autonomy than healthcare professionals and no medical responsibility. This result is also in line with previous literature highlighting that administrators are more motivated by the use of IT in healthcare.

Continued use of an interactive computer game-based visual perception learning system in children with developmental delay

This study developed an interactive computer game-based visual perception learning system for special education children with developmental delay. To investigate whether perceived interactivity affects continued use of the system, this study developed a theoretical model of the process in which learners decide whether to continue using an interactive computer game-based visual perception learning system. The technology acceptance model, which considers perceived ease of use, perceived usefulness, and perceived playfulness, was extended by integrating perceived interaction (i.e., learner-instructor interaction and learner-system interaction) and then analyzing the effects of these perceptions on satisfaction and continued use. Data were collected from 150 participants (rehabilitation therapists, medical paraprofessionals, and parents of children with developmental delay) recruited from a single medical center in Taiwan. Structural equation modeling and partial-least-squares techniques were used to evaluate relationships within the model. The modeling results indicated that both perceived ease of use and perceived usefulness were positively associated with both learner-instructor interaction and learner-system interaction. However, perceived playfulness only had a positive association with learner-system interaction and not with learner-instructor interaction. Moreover, satisfaction was positively affected by perceived ease of use, perceived usefulness, and perceived playfulness. Thus, satisfaction positively affects continued use of the system. The data obtained by this study can be applied by researchers, designers of computer game-based learning systems, special education workers, and medical professionals.