INTENTION TO ADOPT: USING OF BARCODE SYSTEM TO REDUCE HEALTH SERVICE ERRORS

This study aims to examine the factors driving the intention to adopt an information system through the use of patient barcode system at a hospital in Surakarta. This study is necessary to explore the variables forming the information system adoption intention in order to improve the performance of hospital medical personnel. Survey method and questionnaire were applied in data collection. The data were collected using a probability sampling technique resulting in a number of 100 questionnaires to be processed. SPSS was used to test the instrument of the study, while SEM using AMOS method was applied to test hypotheses. The results showed that to be able to increase the confidence of user to form the intention to adopt barcode systems in hospitals is influenced by the condition of the facility not because of management pressure and social pressure. Intention to Adopt Information System, Trust, Facility Condition, Managerial Pressure, Social Pressure, Barcode System

Personality, top management support, continuance intention to use electronic health record system among nurses in Jordan

Electronic health record system (EHRs) is preferred as standard documentation to track patient information and office visits. It is acclaimed as technological breakthrough capable to improve the healthcare industry’s service delivery and system quality. Accordingly, Jordanian government initiated EHRs implementation in all public hospitals. However, only eleven out of 35 public hospitals have fully implemented EHRs and their usage remains low. Moreover, empirical research associated to the particular concern of EHRs is insufficient and the effort to appraise it is low considering its extensive ongoing implementation. Besides, comprehending and explaining nurses’ continuous intention (CI) to use EHRs are crucial to gauge EHRs usage in Jordan. Considering the problem, this study highlighted on continuous intention (CI) of nurses to use EHRs model by incorporating the following theories; the Unified Theory of Acceptance and Use of Technology (UTAUT), Expectation-Confirmation Theory (ECT) and Five Factor Model (FFM). The model is insinuated to investigate whether UTAUT factors namely effort expectancy, performance expectancy, social influence, facilitating conditions, FFM domains (conscientiousness, extraversion, neuroticism, openness to experience, and agreeableness) and Top Management Support (TMS) predict nurses’ CI to use EHRs. Total responses are 497 nurses. Partial Least Squares technique used for analysis. Results revealed significant positive relationship between UTAUT factors and CI. However, there is no significant evidence of relationship between TMS and CI. The study also disclosed significant mediating influence of performance expectancy on two separate hypotheses concerning two predictors namely agreeableness and openness to experience on CI. Additionally, the study revealed significant moderation impact of conscientiousness on the relationship between both performance expectancy and social influence with CI. The study has illustrated important attention to substantive differences between acceptance and continuance to use behaviors

Understanding EHRs continuance intention to use from the perspectives of UTAUT: practice environment moderating effect and top management support as predictor variables

This study attempts to comprehend factors influencing nurses' continuance intention to use electronic health records (EHR) system in Jordan since they as the key service providers in healthcare services are main users of the system. Their acceptance and usage of the system are imperative to evaluate the system's implementation success. A cross-sectional survey is conducted on the fully implemented EHR system public hospitals. Study framework is based on the extended model of the unified theory of acceptance and use of technology (UTAUT) and top management support (TMS). Results reveal effort expectancy, performance expectancy and facilitating conditions positively influence nurses' continuance intention to use and top management support as significant and negatively related to nurses' continuance intention to use. Results also disclose relationship between social influence and continuance intention to use as not significant. Multi-group analysis result indicates stronger relationship between effort expectancy and continuance intention to use is evident to ward nurses than special unit nurses. Findings confirm on the necessity to support new technologies specifically EHR system in hospitals and contributes to UTAUT theory through revealing the impact of top management support on continuance intention to use and establishing relevant measurement accuracy of study framework in Jordanian context

A model on factors affecting nurses adoption of health information technology

Healthcare organisations are using Health Information Technology (HIT) to improve efficiency, reduce cost and reduce medical errors. This study focused on the factors that influence the acceptance of HIT among nurses in Saudi hospitals. This research used a 6 stage mixed-methods research approach. Literature was used to search for established models and frameworks of technology acceptance, and the many factors that could play a role. In the field study, the nature of practical HIT issues at the Prince Sultan Military Medical City (PSMMC) and the Heraa Hospital were studied, and combined with literature to create a HIT Implementation Issues Framework. The framework consolidates elements from the Technological, Organisational, Environmental and Human dimensions. The researcher participated in further PSMMC projects in the design and implementation of the new Cardio Pulmonary Resuscitation System and the Nurses and Pharmacists’ Communication System. From the implementation experience, pertinent factors were added to the Technology Acceptance Model and the “Nurses Acceptance Model” was proposed. The proposed model has eleven independent parameters, two dependent parameters, as well as seven moderators of key relationships. A questionnaire with 71 entries was distributed to over 2800 nurses in 52 wards in PSMMC. SPSS was used for data screening and descriptive statistics. The SmartPLS software was used for analysis and testing of the proposed hypotheses. The findings refined the “Nurses Acceptance Model” and highlight the significance of User Involvement and Training. The “Nurses Acceptance Model” enhances the scientific understanding of variables that affect technology acceptance among nurses in Saudi hospitals. The HIT Implementation Issues Framework helps hospital decision makers to plan HIT projects to improve the likelihood of successful adoption

Strategies Used in eHealth Systems Adoption

Failure to adopt an interoperable eHealth system limits the accurate communication exchange of pertinent health-care-related data for diagnosis and treatment. Patient data are located in disparate health information systems, and the adoption of an interoperable eHealth system is complex and requires strategic planning by senior health care IT leaders. Grounded in DeLone and McLeanâs information system success model, the purpose of this qualitative case study was to explore strategies used by some senior information technology (IT) health care leaders in the successful adoption of an eHealth system. The participants were 8 senior health care IT leaders in the eastern United States who successfully adopted an interoperable eHealth system. Data were collected using semistructured interviews following Kallioâs five phase interview guide and analyzed using thematic analysis. Six themes emerged: eHealth ecosystem, implementation approach, quality, strategy, use/intent to use, and user satisfaction. A key recommendation from results indicates that further identification and development of strategies based on the DeLone and McLean IS success model might benefit successful eHealth adoption and implementation. Positive social change implications include the potential for senior health care IT leaders to identify a framework to enhance accuracy among eHealth systems to reduce medical errors and improve patient care

JoinSTNassistant Framework: An Agile Holistic Framework for Assisting Decision in Healthcare Facilities to Join Saudi Telemedicine Network

In 2011, the Saudi Arabian Ministry of Health (MOH) launched the Saudi Telemedicine Network (STN) as the first national project for telemedicine in the KSA, which is planned to be completed by 2020. The benefits associated with the STN will only be realised through its successful implementation within the Healthcare Facilities (HCFs) across the Kingdom of Saudi Arabia (KSA). There is a high failure rate of implementation projects of telemedicine within other countries (approximately 75% globally, and 90% in developing countries). Furthermore, there is high failure rate of implementation projects of complex Health Information Technology (HIT) systems within HCFs of the KSA (roughly 80%). These dramatic statistics demonstrate the great need for a suitable framework to assist the STN implementation and increase the likelihood of its successful implementation. Prior studies have asserted that there could not be a one-size-fits-all framework that could be applicable and used by all countries for assisting the implementation of telemedicine. To the best of our knowledge, there is not any existing framework that has been specifically developed for assisting the STN implementation. Thus, this research is aimed at developing a novel, agile, holistic framework, referred to as “JoinSTNassistant Framework”, aimed to assist HCFs across the KSA regarding their organisational decision to join the STN. It must be ensured that this JoinSTNassistant Framework is theoretically rigorous, as well as relevant specifically to the context and the needs of the KSA, its HCFs, and the STN roadmap. Therefore, the JoinSTNassistant Framework has been developed through three-sequential phases. The First Phase of development defines and applies the theoretical and philosophical foundations of the JoinSTNassistant Framework. In this First Phase, 56-selected studies from an extensive literature review were analysed. The Second and Third phases of development reflect the practical and pragmatic requirements of the JoinSTNassistant Framework. These two phases must be considered as two stages of validation of the findings of the First Phase, involving as many potential users as possible in the development of the Framework, so as to ensure that it reflects their expectations and meets their needs. The Second Phase of development involved interviews with 81 strategic-level decision makers of HCFs within the KSA. The Third Phase implemented an even higher level of validation, involving as many as 905 potential users, forming a representative sample size of the decision makers of all HCFs across the KSA. In addition, a web-based application (i.e., Portal) for the JoinSTNassistant Framework, referred to as “JoinSTNassistant Portal” was developed for modifying and adjusting the JoinSTNassistant Framework in order to be applicable for each one of HCFs across the KSA, for assisting and guiding them in reaching a decision to join the STN. This research is part of the STN project and is collaborating with the National eHealth Strategy and Change Management Office in the MOH of KSA, and with the STN agency, who is the sponsor and the owner of the STN project

Determinants of electronic tax filing and employee performance among tax officers in Jordan

Electronic Tax Filing (ETF) in Jordan is implemented to improve the performance of the Income and Sales Tax Department (ISTD). Tax employee performance is vital to boost tax revenue collection through the efficient implementation of ETF. However, challenges regarding employees’ acceptance of new technology and their dissatisfaction of technology adoption remain a major concern. Drawing primarily upon the Unified Theory of Acceptance and Use of Technology (UTAUT), and supported by the Task-Technology-Fit theory, this study examined the impact of performance expectancy, effort expectancy, social influence, and facilitating conditions on ETF adoption with the subsequent effect of ETF adoption on tax employees’ performance. Training, Information Technology (IT) technological sophistication, and IT informational sophistication were added to extend the UTAUT theory. Also, this study examined the moderating effect of age, gender and experience on the relationships between UTAUT variables and ETF adoption. A cross- sectional survey approach was used, in which data were collected from 204 tax employees. The Partial Least Squares Method (PLS) algorithm and bootstrap techniques were used to test the hypotheses. The results supported 9 out of the 16 hypotheses. The overall findings signified positive direct relationships between performance expectancy and ETF adoption, facilitating condition and ETF adoption, training and ETF adoption, and IT technological sophistication and ETF adoption. In addition, age moderated the relationship between performance expectancy and ETF adoption, and between effort expectancy and ETF adoption while gender moderated the nexus between social influences and ETF adoption. In short, the results of this study established that performance expectancy, facilitating condition, training, and IT technological sophistication influence the adoption of ETF by tax employees regardless of age, gender and experience. The findings also indicated that there is a positive relationship between ETF adoption and employees’ performance. This implies that ETF adoption can enhance the performance of the employees