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Due to its ability to support well-informed decision-making, business intelligence (BI) has grown in popularity among executives across a range of industries. However, given the volume of data collected in health-care organizations, there is a lack of exploration concerning its implementation. Consequently, this research paper aims to investigate the key factors affecting the acceptance and use of BI in healthcare organizations.

Leveraging the theoretical lens of the “unified theory of acceptance and use of technology” (UTAUT), a study framework was proposed and integrated with three context-related factors, including “rational decision-making culture” (RDC), “perceived threat to professional autonomy” (PTA) and “medical–legal risk” (MLR). The variables in the study framework were categorized as follows: information systems (IS) perspective; organizational perspective; and user perspective. In Jordan, 434 healthcare professionals participated in a cross-sectional online survey that was used to collect data.

The findings of the “structural equation modeling” revealed that professionals’ behavioral intentions toward using BI systems were significantly affected by performance expectancy, social influence, facilitating conditions, MLR, RDC and PTA. Also, an insignificant effect of PTA on PE was found based on the results of statistical analysis. These variables explained 68% of the variance (R²) in the individuals’ intentions to use BI-based health-care systems.

To promote the acceptance and use of BI technology in health-care settings, developers, designers, service providers and decision-makers will find this study to have a number of practical implications. Additionally, it will support the development of effective strategies and BI-based health-care systems based on these study results, attracting the interest of many users.

To the best of the author’s knowledge, this is one of the first studies that integrates the UTAUT model with three contextual factors (RDC, PTA and MLR) in addition to examining the suggested framework in a developing nation (Jordan). This study is one of the few in which the users’ acceptance behavior of BI systems was investigated in a health-care setting. More specifically, to the best of the author’s knowledge, this is the first study that reveals the critical antecedents of individuals’ intention to accept BI for health-care purposes in the Jordanian context.

Paramedics became nationally registered in 2018 in Australia. Prior to this, there was no central regulation of the profession with reliance on organisational regulation through employers. As paramedics expanded their scope, role and range of employers, especially outside statutory agencies, there was increasing need to engage in professional regulation. Regulation is more than a legal and bureaucratic framework. The purpose of the paper states that the way paramedics interact with their new regulatory environment impacts and is influenced by the professionalisation of the discipline. Regulation also redefines their positionality within the profession.

Two mixed-method surveys were undertaken. A pre-registration survey occurred in the month prior to regulation commencing (N = 419) followed by the second survey 31 months later (N = 407). This paper reports the analysis of qualitative data from the post-registration survey and provides comparison to the pre-registration survey which has been previously reported. Analysis was undertaken using interpretive phenomenological analysis (IPA).

Themes from the pre-registration survey continued however became more nuanced. Participants broadly supported registration and saw it as empowering to the profession. Some supported registration but were disappointed by its outcome, others rejected registration and saw it as divisive and oppressive.

Paramedics are beginning to come to terms with increasing professionalisation, of which regulation is one component. Changes can be seen in professional identity and engagement with professional practice; however, this is nascent and is deserving of additional research to track the profession as it continues to evolve.

General Data Protection Regulation (GDPR) of the European Union (EU) was passed to protect data privacy. Though the GDPR intended to address issues related to data privacy in the EU, it created an extra-territorial effect through Articles 3, 45 and 46. Extra-territorial effect refers to the application or the effect of local laws and regulations in another country. Lawmakers around the globe passed or intensified their efforts to pass laws to have personal data privacy covered so that they meet the adequacy requirement under Articles 45–46 of GDPR while providing comprehensive legislation locally. This study aims to analyze the Malaysian and Saudi Arabian legislation on health data privacy and their adequacy in meeting GDPR data privacy protection requirements.

The research used a systematic literature review, legal content analysis and comparative analysis to critically analyze the health data protection in Malaysia and Saudi Arabia in comparison with GDPR and to see the adequacy of health data protection that could meet the requirement of EU data transfer requirement.

The finding suggested that the private sector is better regulated in Malaysia than the public sector. Saudi Arabia has some general laws to cover health data privacy in both public and private sector organizations until the newly passed data protection law is implemented in 2024. The finding also suggested that the Personal Data Protection Act 2010 of Malaysia and the Personal Data Protection Law 2022 of Saudi Arabia could be considered “adequate” under GDPR.

The research would be able to identify the key principles that could identify the adequacy of the laws about health data in Malaysia and Saudi Arabia as there is a dearth of literature in this area. This will help to propose suggestions to improve the laws concerning health data protection so that various stakeholders can benefit from it.

The purpose of this review paper was identifying barriers to the use of telemedicine systems in primary health-care individual level among professionals.

This study used Scopus and PubMed databases for scientific records identification. A systematic review of the literature structured by PRISMA guidelines was conducted on 37 included papers published between 2009 and 2019. A qualitative approach was used to synthesize insights into using telemedicine by primary care professionals.

Three barriers were identified and classified: system quality, data quality and service quality barriers. System complexity in terms of usability, system unreliability, security and privacy concerns, lack of integration and inflexibility of systems-in-use are related to system quality. Data quality barriers are data inaccuracy, data timeliness issues, data conciseness concerns and lack of data uniqueness. Finally, service reliability concerns, lack of technical support and lack of user training have been categorized as service quality barriers.

This review identified and mapped emerging themes of barriers to the use of telemedicine systems. This paper also through a new conceptualization of telemedicine use from perspectives of the primary care professionals contributes to informatics literature and system usage practices.

This paper aims to provide new insights into and offer potential solutions to the challenges encountered by mental health services working with remote, rural or underserved communities in the UK.

In this paper, the authors reflect on the utility of integrating conventional clinical approaches, with preventive care and empowering work within the community, to provide culturally sensitive and accessible mental health services. The authors describe an example of community intervention from a mental health service in Ghana designed to enhance reach within remote and rural communities and identify potential lessons for practice in the UK.

The partnership between community mental health services and the rural communities, including families and existing social frameworks, applies collaborative care to overcome the lack of resources and facilitate the acceptability of mental health services to the local population. There are a series of important lessons from this experience including the importance of understanding the culture of a community to optimise reach and the importance of working IN the community and WITH the community.

This paper is novel because it provides learning from a model of care applied in the global south that has potential for implementation with underserved populations in the UK. The authors suggest a reframing of the notion of community care to encompass existing frameworks of community, not merely a biomedical conceptualisation.

Contrary to want-based services, customer participation has got lesser attention in high-credence services like health care. Customer participation for patients with chronic illnesses could be life-threatening and goes beyond the service organization’s physical environment. Realizing the importance of transformative service research in health-care services, this study aims to propose and validate the conceptualization of customer participation for patients with chronic illnesses.

The study uses sequential exploratory research design with mixed method research. The first phase is a qualitative exploration of the nature and meaning of customer participation by synthesizing theory and insights from semi-structured interviews (N = 75) with doctors, patients and paramedical staff. Next, survey data (N = 690) of patients with chronic illnesses is used to validate the proposed conceptualization. Finally, nomological validity was also tested on an additional survey data set (N = 362) using SEM and FsQCA.

The findings reveal that health-care customer participation is a three-dimensional behavioral construct in which a customer can participate by sharing information, involving in decision-making and ensuring compliance. The study also demonstrates that customer participation is a critical driver of satisfaction with life and perceived control on illness.

The research provides policy guidelines for owners and operators of health-care organizations in developing frameworks for collecting participation data, which can be used in strategies for seeking customer participation.

The research conceptualizes and validates “customer participation” as a multidimensional higher-order construct for patients with chronic illnesses, rarely focused in services marketing and management research on health care.

This study aims to explore the effects of expertise diversity on project efficiency and creativity in health-care project teams.

This study analyzes hierarchical linear models using multi-source data from 50 project teams in a large health-care organization in the USA. This data set includes self-reported survey responses from 274 team members and human resource information for all 515 members across the 50 teams. Expertise diversity is operationalized by professional diversity and positional diversity reflecting two dimensions, domain and level, of the concept of expertise.

This study reveals that professional diversity is negatively related to project efficiency and project creativity, whereas positional diversity is positively related to project efficiency.

Successfully managing a project team of experts within a limited time frame is a challenge for organizations. This study advances the understanding of the double-edged sword effect of expertise diversity on project teams, focusing on professional and positional diversity. It provides important insights for human resource development in terms of the composition of project teams regarding members’ expertise.

Half of adulthood mental health challenges begin by the age of 14-years-old, making the need for early-intervention clear. This study aims to evaluate a new service model that promotes early-intervention through a community based low-intensity Hub.

Clinical data from 2,384 young people were analysed through within-group, pre- and post-comparisons and qualitative survey, and interview data was analysed through content analysis.

Overall, participants reported that they were highly satisfied with the Hub and the low-intensity brief interventions met their needs. Participants reported that learning new skills, having a place to talk and positive therapeutic relationships were beneficial. The Hub appeared to be less successful for young people with complex mental health difficulties. As a service, the adoption of the Hub model reduced waiting list times by more than half.

The quantitative data demonstrated that engaging with the Hub reduced symptoms of psychological distress. Qualitative analyses suggest that access to local, community, welcoming and “less clinical” support was beneficial, and the type of brief interventions offered was less important than therapeutic relationships.

This is the first study of a novel “Hub” model for low-intensity brief interventions in a socio-economically deprived area of England. Local knowledge, community integrated support, therapeutic relationships and a welcoming environment were viewed as more beneficial than the type of brief interventions offered. Consequently, community spaces can be created to be therapeutic and beneficial for mental health outside of a traditional conceptualisation of clinical support.

This study aims to develop a hierarchical model that uncovers the relationships between challenges confronting Africa's organ transplant supply chain systems.

Eleven challenges (variables) were identified after a comprehensive review of the existing literature. The contextual interactions among these variables were analysed from the perspectives of health-care stakeholders in two sub-Saharan Africa (SSA) countries (Nigeria and Uganda), using Delphi-interpretive structural modelling-cross-impact matrix multiplication applied to classification (MICMAC) techniques.

The findings reveal that weak regulatory frameworks, insufficient information systems and a lack of necessary skills make it challenging for critical actors to perform the tasks effectively. The interaction effects of these challenges weaken organ supply chains and make it less efficient, giving rise to negative externalities such as black markets for donated organs and organ tourism/trafficking.

This paper establishes a solid foundation for a critical topic that could significantly impact human health and life once the government or non-profit ecosystem matures. The MICMAC analysis in this paper provides a methodological approach for future studies wishing to further develop the organ supply chain structural models.

The study provides valuable insights for experts and policymakers on where to prioritise efforts in designing interventions to strengthen organ transplantation supply chains in developing countries.

This study is one of the first to empirically examine the challenges of organ transplant supply chains from an SSA perspective, including theoretically grounded explanations from data collected in two developing countries.