Search results

This paper seeks to understand relationships between prison healthcare and integrated care systems (ICS), including how these affect the delivery of new healthcare interventions. It also aims to understand how closer integration between prison and ICS could improve cross system working between community and prison healthcare teams, and highlights challenges that exist to integration between prison healthcare and ICS.

The study uses evidence from research on the implementation of a pilot study to establish telemedicine secondary care appointments between prisons and an acute trust in one English region (a cross-system intervention). Qualitative interview data were collected from prison (n = 12) and community (n = 8) healthcare staff related to the experience of implementing a cross-system telemedicine initiative. Thematic analysis was undertaken on interview data, guided by an implementation theory and framework.

The research found four main themes related to the closer integration between prison healthcare and ICS: (1) Recognition of prison health as a priority; (2) Finding a way to reconcile networks and finances between community and prison commissioning; (3) Awareness of prison service influence on NHS healthcare planning and delivery; and (4) Shared investment in prison health can lead to benefits.

This is the first article to provide research evidence to support or challenge the integration of specialist health and justice (H&J) commissioning into local population health.

The study examines the amplifying role of users in the e-healthcare sector and holistically show its current state and potential. The paper aims at contributing to the scientific literature with a comprehensive review of the current state of the art on the application of user innovation (UI) in the e-healthcare sector, as a solid step for discussing the potential, trends, managerial gaps and future research avenues in this field. Despite the crucial importance of the topic and increasing attention toward it in the last few years, there is a lack of comprehensive scrutiny on different angles of involving users in health technology innovations so far.

This study combines two methods of bibliometric analysis and extensive content analysis of 169 journal articles on Scopus and Web of Science to unfold five research questions regarding the mechanisms of involving users, innovations characteristics and the role of users throughout the innovation process.

A clear result of the applied methodology is the profiling of users involved in e-health innovations in seven categories. The results of this study shed light on the current practice of not involving users in all the stages of the innovation process of m-health, telemedicine, self-managing technologies, which is contrary to the best practices of the UI application.

Collection of relevant studies due to lack of comprehensibility of the keywords.

The offered propositions can act as a roadmap to potential research opportunities as well as to organize such innovations from a managerial perspective in particular healthcare organization managers and the middle managers operating at R&D sectors and policymakers.

This study is the first of its kind that digs out the application of UI strategies such as user-centered design in the context of e-healthcare and provides a bibliometric and extensive content analysis of the studies conducted in this theme over the years.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.

This paper aims to investigate the eHealth ecosystem’s evolution during the coronavirus disease 2019 (COVID-19) pandemic and its effects on the progression of care for patients with chronic cardiovascular disease.

To attain the aim of the study, this study chose to adopt a qualitative method that matches the complexity of the issue. The study was conducted in a real context through 44 face-to-face semi-structured interviews of key informants at different levels of the Italian eHealth service ecosystem, via Microsoft Teams. The interviews were carried out from June 2020 to January 2021. In this research, we adopted an abductive approach that enabled a process where the theoretical framework and the data analysis evolved at the same time.

The study results were used to develop a conceptual framework that considers the key factors enabling and constraining the evolutionary process of the eHealth service ecosystem. In particular, the drivers that emerged from the study were actor role empowerment, actor–network engagement and resource reconfiguration while the inhibitors were inter- and intra-actor misalignment, resource myopia and the platformisation gap. The findings also revealed the pivotal role of the meso level in the development of the eHealth service ecosystem, boosted by the COVID-19 pandemic.

By adopting a service ecosystem perspective, this paper contributes, at both a theoretical and a managerial level, to a better understanding of the dynamics related to the diffusion of eHealth. The study identifies the main issues that researchers, managers and policymakers should address to support the evolution of the eHealth service ecosystem, with particular regard to chronic cardiovascular disease.

Eating disorders (EDs) is a major health condition affecting 9% of the global population and 10% of those with EDs lost their lives as a result. Text-based telehealth interventions (TTIs) seem to provide a low-cost and convenient treatment option; however, the evidence is scarce. This study aimed to synthesize evidence relating to the use of TTIs for the management of EDs.

Five databases were searched published between January 2020 and May 2019. The authors used keywords relating to telehealth and EDs. The authors used Joanna Briggs Institute's (JBI's) critical appraisal instrument to assess the methodology quality of included studies.

Fifteen studies were included in this mix-method systematic review and assessed for methodology quality. Email, web-based texting, text-messaging and online chat room were used as mode for deliver healthcare for patients with EDs. In the treatment phase, all studies (nine studies; n = 860 participants) showed effectiveness (for RCTs) and usefulness (for non-RCT studies). In the aftercare phase (six studies; n = 364 participants), the results regarding the effectiveness of TTIs were mixed. Two studies showed effectiveness whilst four studies did not find statistically significant change of ED outcomes.

The qualities of these studies varied; firstly, 66% (n = 10) of the studies were non-randomized studies (e.g. single-arm trial, case report) with small samples. Moreover, one-fourth (n = 4) of the studies did not use validated instruments or indicate the instrument. Also, half (n = 7) of the studies used TTIs as adjunct to face-to-face treatment or bigger online treatment, it is hard to make conclusion that the changes were due to TTIs' effect. In addition, follow-up rate is not satisfactory, thus results should be interpreted cautiously.

TTIs seem to be promising for management of EDs, particularly in the treatment phase. This provides an important treatment option for health practitioners and people with EDs as an alternative or in adjunct with face-to-face services.

This is the first review to synthesis the use of TTIs for ED management.

Diabetes is regarded as a global epidemic with 382 million people globally suffering from diabetes. It also has major implications on patients’ quality of life. There are also high cost of treatment associated with diabetes for both patient and healthcare provider. Telemonitoring represents an excellent technology opportunity to redefine health care delivery. Using technology for home-based care promises the ability to deliver more cost effective care whilst also enhancing quality of care and patient satisfaction. The paper aims to discuss these issues.

The current research aims to contribute to the methodological design of action research projects in their use to implementation health technologies such as telemonitoring. In particular, it seeks create a model which can be used to demonstrate the efficacy of the use of the action research method as a viable alternative to the traditional randomised control trials methodology currently employed in healthcare.

The paper contributes towards the methodological design to investigate the area of practice making use of the telemonitoring programme within a Victorian Health Services Network using action research.

It intends to address the research problem of the low utilisation of telemonitoring within Monash Health as a whole, and more specifically within the diabetes unit. In this context the research intends to utilise the benefits of telemonitoring to improve clinical outcomes of patients by increasing insulin stabilisation. It is also intended the research organisation benefits by increased efficiency by decreasing clinical workforce time spent on managing patient insulin data.

This study specifically seeks to investigate the strategic implementation of machine learning (ML) algorithms and techniques in healthcare institutions to enhance innovation management in healthcare settings.

The papers from 2011 to 2021 were considered following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. First, relevant keywords were identified, and screening was performed. Bibliometric analysis was performed. One hundred twenty-three relevant documents that passed the eligibility criteria were finalized.

Overall, the annual scientific production section results reveal that ML in the healthcare sector is growing significantly. Performing bibliometric analysis has helped find unexplored areas; understand the trend of scientific publication; and categorize topics based on emerging, trending and essential. The paper discovers the influential authors, sources, countries and ML and healthcare management keywords.

The study helps understand various applications of ML in healthcare institutions, such as the use of Internet of Things in healthcare, the prediction of disease, finding the seriousness of a case, natural language processing, speech and language-based classification, etc. This analysis would help future researchers and developers target the healthcare sector areas that are likely to grow in the coming future.

The study highlights the potential for ML to enhance medical support within healthcare institutions. It suggests that regression algorithms are particularly promising for this purpose. Hospital management can leverage time series ML algorithms to estimate the number of incoming patients, thus increasing hospital availability and optimizing resource allocation. ML has been instrumental in the development of these systems. By embracing telemedicine and remote monitoring, healthcare management can facilitate the creation of online patient surveillance and monitoring systems, allowing for early medical intervention and ultimately improving the efficiency and effectiveness of medical services.

By offering a comprehensive panorama of ML's integration within healthcare institutions, this study underscores the pivotal role of innovation management in healthcare. The findings contribute to a holistic understanding of ML's applications in healthcare and emphasize their potential to transform and optimize healthcare delivery.

The purpose of this paper is to review the barriers in the dissemination of effective smoking cessation treatments and services globally. Offering tobacco users help to stop using tobacco is a key demand reduction measure outlined under Article 14 of the World Health Organisation (WHO) Framework Convention on Tobacco Control (FCTC). Implementing Article 14 can reap great dividends for the billion plus tobacco users around the world and their families, friends and societies.

A review of the status of the global implementation of Article 14 using available literature on smoking cessation products, services and national guidelines. Discussing innovative approaches being currently explored in South Asia that can lead to faster adoption and implementation of Article 14 globally.

Major gaps remain in cessation products’ availability and resource allocation for cessation services globally. Current licensed products are falling short on delivering and sustaining smoking cessation. Innovation in cessation products and services needs to build on learnings in nicotine pharmacokinetics, behavioural insights from consumer research and tap into 21st century tools such as mobile based apps. National implementation of FCTC’s Article 14 needs to follow guidelines that encourage integration into existing health programmes and health-care practitioners’ (HCPs) upskilling.

Smoking cessation is a desirable health outcome and nicotine replacement products are a means of achieving cessation through tobacco harm reduction. E-cigarettes are sophisticated nicotine replacement products. Innovation is urgently needed to fill the gaps in smoking cessation products and services, and for converting global policy into local practice. In low- and middle-income countries (LMICs), HCPs’ knowledge, attitudes and practice regarding tobacco use and cessation may hold the key to rapidly scaling up cessation support and delivery to achieve FCTC objectives sooner. Additionally, HCPs can play an important role in offering smoking cessation support in existing national health programmes for TB, cancer screening and maternal and child health. Also, widely prevalent smartphone devices may deliver smoking cessation through telemedicine in LMICs sooner, leapfrogging the hurdles of the existing health-care infrastructure.

This paper explores the Adoption of Technological Innovation (ATI) in the healthcare industry. It investigates how the literature has evolved, and what are the emerging innovation dimensions in the healthcare industry adoption studies.

We followed a mixed-method approach combining bibliometric methods and topic modeling, with 57 papers being deeply analyzed.

Our results identify three latent topics. The first one is related to the digitalization in healthcare with a specific focus on the COVID-19 pandemic. The second one groups up the word combinations dealing with the research models and their constructs. The third one refers to the healthcare systems/professionals and their resistance to ATI.

The study’s sample selection focused on scientific journals included in the Academic Journal Guide and in the FT Research Rank. However, the paper identifies trends that offer managerial insights for stakeholders in the healthcare industry.

ATI has the potential to revolutionize the health service delivery system and to decentralize services traditionally provided in hospitals or medical centers. All this would contribute to a reduction in waiting lists and the provision of proximity services.

The originality of the paper lies in the combination of two methods: bibliometric analysis and topic modeling. This approach allowed us to understand the ATI evolutions in the healthcare industry.

This chapter addresses the forms of co-innovation between the audiovisual (AV) industries and the health care sector. It gives a brief overview of how media have been used in health promotion, medical training and treatment by drawing on selected examples from television, entertainment and video game industries. Informed by an array of case-studies, this literature review suggests that the emergence of the new digital audiovisual media and online technologies bears a great potential to improve health care services in multiple ways, while it also recognises the risks associated with the crumbling of medical authority in thoroughly mediatised worlds. Therefore, it maintains that a successful adoption of entertainment-oriented media formats in health care always requires a close relationship with professional medical expertise.