Investigation of the use of ICT in the modernization of the health care sector : a comparative analysis

This Ph.D project started from a broad analysis aiming at investigating the key issues in the development of Information and Communication Technologies (ICT) in the health care sector, with the aim of making an in depth investigation to evaluate the effects of Electronic Medical Record (EMR) implementation on the organizations adopting them. Furthermore the study examined two study settings which have adopted the same EMR system produced by the same provider. This comparative study aims, in particular, to analyse how EMR systems are adopted by different health organizations focusing on the antecedents of the EMR project, on the implementation processes used and on the impacts produced. Diffusion theory, through the lens of socio-technical approach, represents the theoretical framework of the analysis. The research results are based on policy evaluation and case studies. The two hospitals selected for the case study analysis are the Regional Hospital of Local Health Authority in Aosta, Italy and the Royal Infirmary of Edinburgh, Scotland. In conducting the data collection several strategies have been used: documentary analysis, interviews and observations have been carried out. This work provides an overview of the key issues arising over e-health policy development through a comparative analysis of the UK and Italy and provides an insight into how EMR systems are adopted, implemented and evaluated within acute care organizations. The thesis is a comparative international research about the development of e-health and the use of ICT in health care sector. This approach makes a both a theoretical and methodological contribution. By focusing, in particular, on EMR systems, it offers to practitioners and policy makers a better basis of analysing ICT usage and its impacts on health care service delivery

Development features and study characteristics of mobile health apps in the management of chronic conditions:A systematic review of randomised trials

COVID-19 pandemic challenges have accelerated the reliance on digital health fuelling the expanded incorporation of mobile apps into healthcare services, particularly for the management of long-term conditions such as chronic diseases (CDs). However, the impact of health apps on outcomes for CD remains unclear, potentially owing to both the poor adoption of formal development standards in the design process and the methodological quality of studies. A systematic search of randomised trials was performed on Medline, ScienceDirect, the Cochrane Library and Scopus to provide a comprehensive outlook and review the impact of health apps on CD. We identified 69 studies on diabetes (n = 29), cardiovascular diseases (n = 13), chronic respiratory diseases (n = 13), cancer (n = 10) or their combinations (n = 4). The apps rarely adopted developmental factors in the design stage, with only around one-third of studies reporting user or healthcare professional engagement. Apps differed significantly in content, with a median of eight behaviour change techniques adopted, most frequently pertaining to the 'Feedback and monitoring' (91%) and 'Shaping knowledge' (72%) categories. As for the study methodologies, all studies adopted a traditional randomised control trial (RCT) design, with relatively short follow-ups and limited sample sizes. Findings were not significant for the majority of studies across all CD, with most RCTs revealing a high risk of bias. To support the adoption of apps for CD management, this review reinforces the need for more robust development and appropriate study characteristics to sustain evidence generation and elucidate whether study results reflect the true benefits of apps or a biased estimate due to unsuitable designs

It is a relay not a sprint! Evolving co-design in a digital and virtual environment:Neighbourhood services for elders

There is an emerging body of research on the co-design of public services, including co-design with vulnerable adults. However, what has been less explored has been the impact of digital technology and virtual environments upon the co-design process in this context. This paper analyses the contingencies of virtual co-design through a case study of a project to develop supportive local communities for vulnerable elderly people. This project was initially planned to use traditional co-design methods within a face-to-face environment, in the context of the local public service ecosystem. The CoVid-19 pandemic made this impossible. Consequently, an innovative approach to co-design was developed that shifted the process from a face-to-face to a virtual environment. This exploratory paper reports and evaluates this approach and its implications for the future of the theory and practice of the co-design of public services for vulnerable adults. Theoretically the paper evolves a model of co-design in a virtual space that is embedded within a public service ecosystem framework of value creation. At a practice level, the paper provides insight into the strategic and operational management of co-creation in a virtual space. It evolves the ‘Relay’ model of asynchronous co-creation across time and considers it key contingencies

Recommendations for developing a lifecycle, multidimensional assessment framework for mobile medical apps

Digital health and mobile medical apps (MMAs) have shown great promise in transforming health care, but their adoption in clinical care has been unsatisfactory, and regulatory guidance and coverage decisions have been lacking or incomplete. A multidimensional assessment framework for regulatory, policymaking, health technology assessment, and coverage purposes based on the MMA lifecycle is needed. A targeted review of relevant policy documents from international sources was conducted to map current MMA assessment frameworks, to formulate 10 recommendations, subsequently shared amongst an expert panel of key stakeholders. Recommendations go beyond economic dimensions such as cost and economic evaluation and also include MMA development and update, classification and evidentiary requirements, performance and maintenance monitoring, usability testing, clinical evidence requirements, safety and security, equity considerations, organizational assessment, and additional outcome domains (patient empowerment and environmental impact). The COVID‐19 pandemic greatly expanded the use of MMAs, but temporary policies governing their use and oversight need consolidation through well‐developed frameworks to support decision‐makers, producers and introduction into clinical care processes, especially in light of the strong international, cross‐border character of MMAs, the new EU medical device and health technology assessment regulations, and the Next Generation EU funding earmarked for health digitalization

Distinguishing features in the assessment of mHealth apps

Introduction: The unparalleled surge in digital health adoption during the COVID-19 pandemic has emphasized the potential of mHealth apps. However, the quality of available evidence is generally low, and regulatory frameworks have focused on apps with medical purposes only, overlooking apps with significant interactions with patients that may require stronger oversight. Areas covered: To support this expanded evidence generation process, we identified the reasons that distinguish mHealth apps compared to medical devices at large and that should differentially feature their assessment. mHealth apps are characterized by the iterative nature of the corresponding interventions, frequent user interactions with a non-linear relationship between technology usage, engagement and outcomes, significant organizational implications, as well as challenges associated with genericization, their broad diagnostic potential, and price setting. Expert Opinion: The renewed reliance experienced during the pandemic and the unprecedented injection of resources through recovery instruments can further boost the development of apps. Only robust evidence of the benefits of mHealth apps will persuade health-care professionals and beneficiaries to systematically deploy them. Regulatory bodies will need to question their current approaches by adopting comprehensive evaluation processes that adequately consider the specific features of mHealth apps

Distinguishing features in the assessment of mHealth apps

Introduction: The unparalleled surge in digital health adoption during the COVID-19 pandemic has emphasized the potential of mHealth apps. However, the quality of available evidence is generally low, and regulatory frameworks have focused on apps with medical purposes only, overlooking apps with significant interactions with patients that may require stronger oversight. Areas covered: To support this expanded evidence generation process, we identified the reasons that distinguish mHealth apps compared to medical devices at large and that should differentially feature their assessment. mHealth apps are characterized by the iterative nature of the corresponding interventions, frequent user interactions with a non-linear relationship between technology usage, engagement and outcomes, significant organizational implications, as well as challenges associated with genericization, their broad diagnostic potential, and price setting. Expert Opinion: The renewed reliance experienced during the pandemic and the unprecedented injection of resources through recovery instruments can further boost the development of apps. Only robust evidence of the benefits of mHealth apps will persuade health-care professionals and beneficiaries to systematically deploy them. Regulatory bodies will need to question their current approaches by adopting comprehensive evaluation processes that adequately consider the specific features of mHealth apps

Only hearing what they want to hear:Assessing when and why performance information triggers intentions to coproduce

While performance information is often used to communicate the importance of public policies and stimulate civic engagement, we know little about the processes that connect the two. This study proposes a conceptual model that links performance information to a specific form of public engagement: coproduction. Drawing on insights from information aversion theory, we argue that the effect of performance information on engagement in coproduction depends on levels of policy understanding and the valence of performance information that individuals are exposed to. Specifically, we predict that individuals exposed to positive performance information will understand the policy better than those exposed to negative performance information. Further, we predict that higher levels of policy understanding will increase coproduction engagement intentions. These predictions are examined using two experiments and a representative sample of US residents (n = 836). Findings indicate that participants best understood positive information and that understanding significantly increased coproduction engagement intentions

Only hearing what they want to hear: Assessing when and why performance information triggers intentions to coproduce

While performance information is often used to communicate the importance of public policies and stimulate civic engagement, we know little about the processes that connect the two. This study proposes a conceptual model that links performance information to a specific form of public engagement: coproduction. Drawing on insights from information aversion theory, we argue that the effect of performance information on engagement in coproduction depends on levels of policy understanding and the valence of performance information that individuals are exposed to. Specifically, we predict that individuals exposed to positive performance information will understand the policy better than those exposed to negative performance information. Further, we predict that higher levels of policy understanding will increase coproduction engagement intentions. These predictions are examined using two experiments and a representative sample of US residents (n = 836). Findings indicate that participants best understood positive information and that understanding significantly increased coproduction engagement intentions