International Journal of Healthcare Technology and Management (5 papers in press)
Stakeholder identification and salience in purchasing: an empirical study from UK hospitals
by Christos Papanagnou, Pearce Madhlambudzi
Abstract: The lack of systematic processes for stakeholder identification and the omission of key stakeholders in UK hospitals cause significant delays in purchasing processes. This is reinforced by the strict tender processes that follow in making their purchases as a matter of assurance of fairness and competition. This paper presents a descriptive analysis of decision-making processes when the public hospitals purchase diagnostic equipment and discovers how the hospitals use stakeholder identification and salience during the purchase of diagnostic equipment. With the aid of purposeful case studies and semi-structured interviews, we explore how stakeholder salience is concentrated on the administrative personnel who have the role to implement organisational policy, and technical experts who make sure that the right equipment is bought. Lastly, this study provides an insight into how stakeholder groups share the premises of the public hospitals decision-making processes by considering the attributes of power, urgency, legitimacy, and proximity.
Keywords: purchasing; procurement; stakeholder identification; stakeholder salience; United Kingdom; healthcare economics and management; NHS Trust; hospital management; decision-making; diagnostic equipment; semi-structured interviews.
Physicians' perceptions of electronic medical records: the impact of system service quality, and generation/experience gaps
by Shin-Yuan Hung, Makoto Nakayama, Charlie Chen, Fang-Lan Tsai
Abstract: Electronic Medical Record (EMR) systems are complex, organisation-wide information systems involving stakeholders in various medical fields and responsibilities. Assessing the usefulness of EMR, therefore, is not straightforward. Using SERVQUAL, this study assesses the relationship between perceived EMR service quality and the perceived usefulness (subjective belief), expectation (judgment), and satisfaction (affect) of EMR systems. Data were obtained from 338 physicians in 10 medical centres and 15 regional hospitals in Taiwan. The results show that physicians perceived EMR service quality has a much stronger effect on non-affect outcomes than on an affect-based antecedent like satisfaction. Owing to the complexity of EMRs, a beneficial assessment of EMRs requires the clinical experience of individual physicians and an organisational perspective on how EMRs facilitate their tasks.
Keywords: electronic medical record systems; SERVQUAL; continuance intention; beneficial assessment of EMRs; subjective belief; non-affect outcomes.
Perspectives of mass customisation and modularisation in health service delivery: a scoping review
by Katariina Silander, Anna Sarkilahti, Paulus Torkki, Antti Peltokorpi, Maija Tarkkanen, Minna Kaila
Abstract: Mass customisation and modularisation are considered to be means to enhance patient-centredness and control increasing healthcare expenditures. The purpose of this study is to identify existing knowledge regarding the application of mass customisation and modularisation in healthcare delivery while focusing specifically on outcomes. A scoping review was conducted with various combinations of search terms using Scopus. Nearly 2000 studies were identified, of which 18 met inclusion criteria. Patient experience, customisation, and the economic impact on service delivery were analysed. Mass customisation and modularisation may be applicable in healthcare. The model may increase patient satisfaction. However, more knowledge of the outcomes of mass customisation is needed. As the number of studies in this area is limited, more empirical mixed methods research on the implementation and outcomes of mass customisation is needed to understand the expected benefits and to determine the possible effects on patient satisfaction and financial implications.
Keywords: mass customisation; modularisation; healthcare; health services; customisation; personalisation; services; scoping review.
IP mobility adoption in e-health services: a solution to modern healthcare monitoring system
by Riaz Khan, Ajaz Hussain Mir
Abstract: Modern healthcare systems use wearable sensor devices that facilitate the data aggregation that is used for real-time patient monitoring. The scenario may be static or a mobile healthcare system where the mobility of a patient can be tracked inside the hospital premises. For this reason, the hospital wireless network needs to be equipped with an efficient mobility management scheme that enables the transmission of aggregated data without loss or delay to the monitoring station. In this context, this paper proposes a mobility scheme based on the PMIPv6 protocol that uses the pre-registration feature of FMIPv6 to trigger the handover process, which helps in reducing the hand-off (HO) delay and eventually leads to reduced packet loss. The proposed scheme is analysed theoretically first, followed by its evaluation using the NS2 simulator. Data results depict that the proposed scheme outperforms the traditional PMIPv6 in terms of HO delay, packet loss and signalling cost.
Keywords: IP mobility; e-health; handover; communication; hospital wireless network; patient monitoring.
Patient perception of interactive mobile healthcare apps: a predictive model
by Mattie Milner, Scott Winter, Rian Mehta, Stephen Rice, Matthew Pierce, Emily Anania, Karla Candelaria-Oquendo, Diego Garcia, Nathan Walters
Abstract: Many professionals connect with consumers through mobile app technology. It is then no surprise that healthcare providers have begun exploring this technology as a tool to reach their patients. Despite increasing accessibility, the willingness to use mobile technology, such as healthcare apps, can be affected by several different factors. This study aims to determine what factors predict a persons willingness to use this type of technology. Four hundred and five participants completed the study over two stages, which included a hypothetical scenario using a mobile healthcare app and a survey identifying their willingness to use, knowledge of, and privacy concerns regarding mobile healthcare applications. A backward stepwise regression analysis revealed two significant predictors: privacy concerns and likelihood to use the internet. There was good model fit, highlighting the predictive power of the regression model on a new dataset. As technology becomes more prevalent among consumer e-health options, this research may help key stakeholder groups, such as healthcare providers, doctors, and patients, better understand patients willingness to use mobile health applications.
Keywords: e-health; willingness to use; privacy; health care; mobile apps; regression.