Implementation of a digital distress detection system in palliative care: qualitative data on perspectives of a multiprofessional palliative care team

BACKGROUND

Digital health technologies such as sensor systems are intended to support healthcare staff in providing adequate patient care. In the Department of Palliative Medicine (University Medical Center Freiburg), we developed and implemented a noninvasive, bed-based sensor system in a pilot study. The aim was to detect distress in patients who were no longer able to express themselves by monitoring heart and respiratory rates, vocalizations, and movement measurements. The sensor system was intended to supplement standard care, which generally cannot guarantee constant monitoring. As there is a lack of data on how healthcare professionals experience such a techno-digital innovation, the aim of this study was to explore how the multiprofessional palliative care team who piloted the sensor system perceived its potential benefits and limitations, and how they experienced the broader context of healthcare technology and research in palliative care.

METHODS

We conducted a qualitative interview study with 20 members of the palliative care team and analyzed the recorded, verbatim transcribed interviews using qualitative content analysis.

RESULTS

The sensor system was described as easy to use and as helpful support for patients, care staff, and relatives, especially against the backdrop of demographic change. However, it could not replace human interpretation of stress and subsequent treatment decisions: this remained the expertise of the nursing staff. A potential reduction in personnel was expected to be a risk of a digital monitoring system. The special conditions of research and digital health technologies in an end-of-life context also became clear. Specifically, healthcare staff were open to health technologies if they benefited the patient and were compatible with professional nursing and/or palliative care attitudes. Additionally, a patient-protective attitude and possible interprofessional differences in priorities and the resulting challenges for the team became apparent.

CONCLUSIONS

A potential digital solution for distress monitoring was considered useful by palliative care practitioners. However, interprofessional differences and compatibility with existing palliative care practices need to be considered before implementing such a system. To increase user acceptability, the perspectives of healthcare professionals should be included in the implementation of technological innovations in palliative care.

Advanced drug delivery technologies for postmenopausal effects

Postmenopause is the 12-month absence of menstrual periods, characterized by decreased estrogen and progesterone levels, leading to physical and psychological alterations such as hot flashes, mood swings, sleep disruptions, and skin changes. Present postmenopausal treatments include hormone replacement therapy, non-hormonal drugs, lifestyle modifications, vaginal estrogen therapy, bone health treatments, and alternative therapies. Advanced drug delivery systems (ADDSs) are essential in managing postmenopausal effects (PMEs), offering targeted and controlled delivery to alleviate symptoms and improve overall health. This review emphasizes such ADDSs for addressing PMEs. Emerging trends such as artificial ovaries are also reviewed. Additionally, the prospects of technologies such as additive manufacturing (3D and 4D printing) and artificial intelligence in further tailoring therapeutic strategies against PMEs are provided.

Nursing students' perception of digital technology in clinical education among undergraduate programs: A qualitative systematic review

BACKGROUND

Although past research has highlighted the importance of digital technology in clinical education among undergraduate nursing programs, facilitators and barriers to application still need to be systematically understood.

AIM

The objective of this systematic review is to synthesize existing literature reporting on nursing students' experiences with digital technology in clinical education among undergraduate programs to identify gaps and design future educational programs.

METHODS

We conducted a qualitative systematic review and reported the following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. PubMed, Embase, CINAHL, Web of Science databases were searched for studies published in English. Qualitative studies focusing on nursing students' experiences of digital technology in clinical education were included, and data were synthesized by extracting findings, developing categories, and developing synthesized findings.

RESULTS

Six synthesized findings were concluded:1) nature of digital education, 2) facilitators, 3) barriers, 4) benefits to learning, 5) mixed experience, and 6) challenges.

CONCLUSIONS

The systematic review revealed that the utilization of digital technology in clinical practice is beneficial to the learning of undergraduate nursing students. Facilitators and challenges of digital education, as well as barriers to digital education identified in this review can be used to design more effective digital education activities. Digital technology can be used to supplement traditional teaching, and it is worthwhile to explore more in the area of digital education to promote the cultivation of nursing students' competency.

Artificial Intelligence and Virtual Reality in Headache Disorder Diagnosis, Classification, and Management

PURPOSE OF REVIEW

This review provides an overview of the current and future role of artificial intelligence (AI) and virtual reality (VR) in addressing the complexities inherent to the diagnosis, classification, and management of headache disorders.

RECENT FINDINGS

Through machine learning and natural language processing approaches, AI offers unprecedented opportunities to identify patterns within complex and voluminous datasets, including brain imaging data. This technology has demonstrated promise in optimizing diagnostic approaches to headache disorders and automating their classification, an attribute particularly beneficial for non-specialist providers. Furthermore, AI can enhance headache disorder management by enabling the forecasting of acute events of interest, such as migraine headaches or medication overuse, and by guiding treatment selection based on insights from predictive modeling. Additionally, AI may facilitate the streamlining of treatment efficacy monitoring and enable the automation of real-time treatment parameter adjustments. VR technology, on the other hand, offers controllable and immersive experiences, thus providing a unique avenue for the investigation of the sensory-perceptual symptomatology associated with certain headache disorders. Moreover, recent studies suggest that VR, combined with biofeedback, may serve as a viable adjunct to conventional treatment. Addressing challenges to the widespread adoption of AI and VR in headache medicine, including reimbursement policies and data privacy concerns, mandates collaborative efforts from stakeholders to enable the equitable, safe, and effective utilization of these technologies in advancing headache disorder care. This review highlights the potential of AI and VR to support precise diagnostics, automate classification, and enhance management strategies for headache disorders.

The impact of virtual reality on the psychological well-being of hospitalised patients: A critical review

Background and objectives

Improving hospitalised patients' psychological well-being (PWB) is relevant to their recovery and overall quality of life. Virtual Reality (VR) holds the potential to emerge as a novel tool for increasing the PWB of hospitalised patients. This study critically reviewed existing research concerning the use and impact of VR on the PWB of hospitalised patients with serious illnesses. The primary aim of this study was to evaluate the efficacy and practical applicability of VR in enhancing the PWB for hospitalised patients dealing with serious illnesses.

Methodology

In the initial search, the authors identified 106 sources that provided valuable insights into the broader field of VR, PWB, and the influence of VR on the psychological functioning of hospitalised patients. However, only eight articles were selected for the critical review, following the SALSA method. The SALSA method comprises the following steps: (S) Search, (AL) Appraisal, (S) Synthesis and (A) Analysis. Data extracted from these eight articles were subjected to reflexive thematic analysis, through which patterns were identified to examine the use and impact of VR on the PWB of hospitalised patients with serious illnesses. The thematic analysis process involves data gathering and familiarisation, code identification, and formulating and refining various themes to produce a thematic analysis report.

Results

The themes that emerged from the analysis were (i) positive psychological effects (with sub-themes including the effectiveness of VR in improving psychological symptoms, its role as an equivalent or adjunctive treatment, and symptom reduction), (ii) perceptions and the adoption of novel technology, (iii) characteristics that influence the effectiveness of VR, and (iv) statistical and practical applicability and diversity of VR.

Conclusion and recommendation

The use of VR to increase the PWB of hospitalised patients is a relatively recent innovation. Nevertheless, the themes identified in this study indicate that the use of VR within the context of hospitalised patients can benefit their psychological functioning, ultimately contributing to an improvement in their overall PWB. Further in-depth studies are needed to provide a comprehensive conclusion on the potential benefits of VR on the PWB of hospitalised patients dealing with serious illnesses.

The effectiveness of the psychosocial empowerment program in early adjustment among adult burn survivors

BACKGROUND

Burns constitute a major global health challenge, causing not only physical trauma, but also significant psychosocial and emotional disturbances. The complexity of these injuries requires comprehensive rehabilitation programs that address both the physical and psychosocial aspects of recovery. Despite advances in medical care, there is a lack of standardized, accessible, and sustainable psychosocial interventions for burn survivors, particularly in the transition from hospital to home. This study aimed to develop and evaluate a nurse-led psychosocial empowerment intervention for early adjustment among burn survivors after hospital discharge.

METHODS

The study adopted a quasi-experimental framework. A convenient sample of 80 adult burn survivors was randomly divided into an intervention group, receiving the psychosocial empowerment program, and a control group, continuing standard care from November 2022 to May 2023. The effectiveness of the program was evaluated using various tools that measure satisfaction with appearance, coping abilities, and symptoms of post-traumatic stress disorder (PTSD). The intervention focused on enhancing resilience, self-efficacy, and adaptive coping, through targeted skill building in stress management, adaptability to coping, social reintegration, emotion regulation, and problem-solving.

RESULTS

Participants in the intervention group demonstrated significant improvements in body image satisfaction, coping abilities, and symptoms of PTSD compared to the control group.

CONCLUSIONS

The psychosocial empowerment program effectively addressed the psychosocial needs of burn survivors and enhanced their early adjustment after hospital discharge. The findings highlight the critical role of psychosocial support in the rehabilitation of burn survivors and underscore the need to integrate such interventions into standard post-discharge care. Future research should focus on the long-term effects of these interventions and their applicability in diverse settings.

The role of the social sciences and humanities in pandemic preparedness responses: insights gained from COVID-19, HIV and AIDS and related epidemics

The COVID-19 pandemic, particularly from 2020 to mid-2022, debilitated the management of the HIV epidemic in Africa. The multiple effects included well-documented HIV service interruptions, curtailment of HIV prevention programmes, the associated marked increase in both the risk for HIV infection among key populations and vulnerability of sub-populations (e.g. adolescent girls and young women) who are the focus of these programmes and - as importantly but less well-documented - the diverse negative socio-economic effects that accentuate HIV risk and vulnerability generally (e.g. loss of earnings, gender-based violence, stigma, police harassment of people during "lockdowns"). The global biomedical response to COVID-19 was necessary and remarkable for mitigating the bio-physical impacts of the pandemic (e.g. wide-spread surveillance coupled with rapid updates on the epidemiology of infections, rapid development of vaccines and revisions of treatment). However, drawing upon the widespread criticisms of state responses to the socio-economic effects of the COVID-19 pandemic and of "lockdowns" themselves, this article elaborates a core argument within those criticisms, namely that key lessons learnt during the HIV and AIDS and other pandemics were ignored, at least during the early stages of COVID-19. Our critique is that better integration of the social sciences and humanities in responses to pandemics can counter the reflex tendency to uncritically adopt a biomedical paradigm and, more importantly, to enable consideration of the social determinants of health in pandemic responses. At root, we re-assert a key value of 'integrated' interventions, namely the accommodation of context-sensitive considerations in the formulation of strategies, policies, plans and programme designs.

Prosthetics and orthotics for persons with movement disabilities in India in the postpandemic milieu

The SARS-CoV-2 disease had a severe impact on global socioeconomic growth, and its harmful effects continue with virus mutation. Over the past 3 years, the pandemic has caused isolation, mental trauma, stress, financial losses, and various health complications in individuals. Recent reports have stressed the sufferings of the physically abled population. However, we should not neglect the challenges faced by the disabled population, which were more severe in many ways due to their dependency on others at various levels. The strategies implemented to contain the virus have further aggravated their sufferings and made it even worse because health care priorities were skewed toward public-centered care. As a result, it is difficult to determine the extent of care the disabled population received during the pandemic. Moreover, a single-centered study reports that amputations in India increased by 54.1% compared with those during the prepandemic era. This indicates the need for special attention to the physically disabled community, especially persons with movement disabilities. These individuals are partially dependent and have the potential to make significant contributions to the gross domestic product if included in the human resources pool. The Indian government had launched various initiatives to improve their living status. But delays in policy implementation, reduction in budget allocation, and the ongoing pandemic have derailed the efforts. For these reasons, this article emphasizes several challenges in movement disability care. In addition, it makes recommendations for improving the quality of life of persons with movement disabilities. These include collaboration, creating start-up businesses, applying state-of-the-art logistics, establishing a technological ecosystem, raising public awareness, accessing high-quality care, and using contemporary medical devices.

An Empirical Study on the Use of Digital Technologies to Achieve Cost-Effectiveness in Healthcare Management

Objectives: Healthcare cost reduction is one of the major challenges of the current era. This study was based on the general system theory-based view to assess the significance of sensing communication technologies and processing actuation technologies in improving healthcare quality, leading to cost reduction. Moreover, the contingent rule of healthcare supply chain management in enhancing the influence of improved quality on healthcare cost reduction was also empirically tested. Methods: The sample of the study comprised 337 middle and senior healthcare managers employed in various government and private hospitals and health institutions in Jakarta, Indonesia. The administrative departments of each hospital and health institution was visited to take their consent to conduct this survey at their clinical and non-clinical departments. The data collected was analyzed using SmartPLS ver. 4 software. Results: Results reveal a significant direct and indirect influence of sensing communication technologies and processing actuation technologies on achieving cost-effectiveness in the healthcare sector, in the presence of perceived quality improvement as a mediator. However, the strength of the associations varied and was based on highly reliable and familiar nature of sensing communication technologies compared to processing actuation technologies which were emerging and gaining popularity in recent years. Conclusion: Considering the healthcare cost as a critical factor based on limited resources in emerging economies, healthcare institutions/centers should use digital technologies to achieve cost-effectiveness for providing healthcare facilities in the industry 4.0 era.

The Interaction of Perceived Susceptibility with Predictors of mHealth Technology Usage

Objectives: Based on the significance of mobile healthcare (mHealth) technologies in the dynamic and competitive environment, the current study examined the interactive effect of individuals' perceived susceptibility of being ill with the performance expectancy, social influence, and facilitating conditions on their intentions and actual usage of mHealth technologies during medical emergencies/disastrous situations. Methods: Surveying 417 mHealth users in Indonesia, the current study applied structural equational modeling in SmartPLS ver.4 software to analyze the collected data. Results: Results revealed the importance of individuals' expectations regarding the performance of mHealth technologies along with the views of their social networks and facilitating conditions provided by the healthcare organizations to influence mHealth technologies' use during medical emergencies. However, results showed the strongest influence of facilitating conditions on the usage of mHealth technologies reflecting the significance of ease of use. Additionally, findings showed the significant contingent role of the perceived susceptibility of users to augment their intentions to adopt the mHealth technologies. Conclusion: The current study is expected to bring valuable insights to health service providers, health professionals, medical institutions, and practitioners by highlighting factors that facilitate individuals to use mHealth technologies during emergencies.

Health Technology Assessment for In Silico Medicine: Social, Ethical and Legal Aspects

The application of in silico medicine is constantly growing in the prevention, diagnosis, and treatment of diseases. These technologies allow us to support medical decisions and self-management and reduce, refine, and partially replace real studies of medical technologies. In silico medicine may challenge some key principles: transparency and fairness of data usage; data privacy and protection across platforms and systems; data availability and quality; data integration and interoperability; intellectual property; data sharing; equal accessibility for persons and populations. Several social, ethical, and legal issues may consequently arise from its adoption. In this work, we provide an overview of these issues along with some practical suggestions for their assessment from a health technology assessment perspective. We performed a narrative review with a search on MEDLINE/Pubmed, ISI Web of Knowledge, Scopus, and Google Scholar. The following key aspects emerge as general reflections with an impact on the operational level: cultural resistance, level of expertise of users, degree of patient involvement, infrastructural requirements, risks for health, respect of several patients’ rights, potential discriminations for access and use of the technology, and intellectual property of innovations. Our analysis shows that several challenges still need to be debated to allow in silico medicine to express all its potential in healthcare processes.