Informatics for Health & Social Care最新文献

Objective: Health organizations increasingly digitize. However, studies reveal contradictory findings regarding the impact of healthcare information technology on health professionals. Therefore, the aim of this study is to describe the prevalence of technostress among health professionals and elaborate on the influencing factors.

Participants: A secondary analysis was conducted utilizing cross-sectional data from the study, "Work-related stress among health professionals in Switzerland", which included 8,112 health professionals from 163 health organizations in Switzerland.

Methods: ANOVA for group comparisons followed by post-hoc analyses, along with a Multilevel Model to identify influencing factors for technostress ranging from "0" (never/almost never) to "100" (always), were conducted.

Results: Health professionals experienced moderate technostress (mean 39.06, SD 32.54). Technostress differed between settings (p <.001) and health professions (p < .001). The model explains 18.1% of the variance with fixed effects, or 24.7% of the variance with fixed and random effects. Being a physician (β = 12.96), a nurse (β = 6.49), or the presence of an effort-reward-imbalance, increased technostress most (β = 6.11). A professional with no professional qualification (β = -7.94) showed the most reduction.

Conclusion: Health professionals experience moderate technostress. However, decision-makers should consider the cognitive and social aspects surrounding digitalization, to reach a beneficial and sustainable level of usage.

Humanoid robots have already been shown to be useful in healthcare. To ensure successful interactions with humanoid robots, is it essential that the factors that influence users' sense of security be understood. Ensuring patients' sense of security is considered a key principle of good caring. The aim of this study was to illuminate users' sense of security with humanoid robots in healthcare. Twelve semi-structured interviews were conducted. The participants consisted of five women and seven men aged 24-77. Before being interviewed, the participants were shown a video vignette with Pepper, a fully developed humanoid robot, used in the daily care of patients. The data material was analyzed using qualitative content analysis. Most participants perceived the use of humanoid robots in healthcare to be both positive and negative. The overarching theme was: Ambivalent sense of security with humanoid robots in healthcare. The four categories revealed were: Humanoid robots are both reliable and unreliable, Humanoid robots are both safe and unsafe, Humanoid robots are both likable and scary, and Humanoid robots are both caring and uncaring. Here we increased knowledge of whether patients perceive a sense of security with humanoid robots in healthcare, including which fears users have. This is vital information that should be taken into consideration when further developing and introducing humanoid robots into the healthcare setting.

Geographically explicit Ecological Momentary Assessment (GEMA), an extension of Ecological Momentary Assessment (EMA), allows to record time-stamped geographic location information for behavioral data in the every-day environments of study participants. Considering that GEMA studies are continually gaining the attention of researchers and currently there is no single approach in collecting GEMA data, in this paper, we propose and present a GEMA architecture that can be used to conduct any GEMA study based on our experience developing and maintaining the Postpartum Mothers Mobile Study (PMOMS). Our GEMA client-server architecture can be customized to meet the specific requirements of each GEMA study. Key features of our proposed GEMA architecture include: utilization of widely used smartphones to make GEMA studies practical; alleviation of the burden of activities on participants by designing clients (mobile applications) that are very lightweight and servers that are heavyweight in terms of functionality; utilization of at least one positioning sensor to determine EMA contexts marked with locations; and communication through the Internet. We believe that our proposed GEMA architecture, with the illustrated foundation for GEMA studies in our exemplar study (PMOMS), will help researchers from any field conduct GEMA studies efficiently and effectively.

Aim: The aim of this study was to investigate the effectiveness of current rapid response applications available in acute care settings for escalation of patient deterioration. Current challenges and barriers, as well as key recommendations, were also discussed.

Methods: We adopted PRISMA review methodology and screened a total of 559 articles. After considering the eligibility and selection criteria, we selected 13 articles published between 2015 and 2019. The selection criteria were based on the inclusion of studies that report on the advancement made to the current practice for providing rapid response to the patient deterioration in acute care settings.

Results: We found that current rapid response applications are complicated and time-consuming for detecting inpatient deterioration. Existing applications are either siloed or challenging to use, where clinicians are required to move between two or three different applications to complete an end-to-end patient escalation workflow - from vital signs collection to escalation of deteriorating patients. We found significant differences in escalation and responses when using an electronic tool compared to the manual approach. Moreover, encouraging results were reported in extensive documentation of vital signs and timely alerts for patient deterioration.

Conclusion: The electronic vital signs monitoring applications are proved to be efficient and clinically suitable if they are user-friendly and interoperable. As an outcome, several key recommendations and features were identified that would be crucial to the successful implementation of any rapid response system in all clinical settings.

To design and evaluate a mental health treatment program and internet-based delivery platform for patients with ischemic heart disease (IHD) attending cardiac rehabilitation with the aim of reducing the risks associated with anxiety and/or depression. Patients diagnosed with IHD and comorbid anxiety and/or depression. Participatory design of treatment program and internet platform through staged inclusion of participants in two groups. Group 1 was enrolled as co-researchers with prolonged engagement in the project. Group 2 participated only in the pilot evaluation workshop. Three patients were included in Group 1, two patients in Group 2. Inclusion of patients proved challenging, but the extended collaboration with co-researchers yielded valuable circumstantial insight and resulted in the design of a novel nine-module treatment program. Additionally, the inclusion of two participant groups helped shape the development of an internet platform based on an open-source content management system. Our grouped participation method contributes with several recommendations and reflections of advantages of this approach. Collaboration with co-researchers helped us gain a deeper understanding of the impact of language on self-perception and potential stigma. Prolonged participation led to a higher level of trust and familiarity, which enabled uncovering of issues otherwise hidden.

Access to high-quality mhealth tools for diabetes management is critical. The purpose was to systematically review mobile apps for features relevant to helping emerging adults manage their diabetes as they transition to independent diabetes monitoring. Mobile apps were reviewed for relevance to emerging adults, aged 18-25, living with diabetes. The GooglePlay store was systematically searched to identify diabetes management mobile tools. Of the 29 apps, only one app had any features relevant to emerging adults. In total, 20 apps had a feature to share a copy of diet or blood sugar logs with a family member or provider. Only 9 apps had any interactivity other than tracking. While most apps had graphics, only 5 were deemed high quality. Just one app met all three included Mobile Application Rating Scale (MARS) criteria. This review serves as a starting point to guide educators and patients, especially to aid continuity of care when in-person support is not feasible. Ongoing review of new apps with improved functionality and effectiveness studies of the apps' impact on emerging adults' diabetes management is imperative.

The coronavirus disease 2019 (COVID-19) pandemic has brought changes to the way medical care is delivered to keep health workers safe while simultaneously managing available resources. The well-being of patients and healthcare workers is crucial and has become a topic of debate as the world faces adjusts to the COVID-19 pandemic. Therefore, there is need to consider innovative methods of delivering medical care. Telehealth and digital health care which is the provision of medical care via Information Communication Technology (ICT) with highspeed telecommunications systems, has increasingly becoming popular in providing medical care services can be adopted to reduce infections during quarantine and social distancing practices. Specifically, by means of document and literature review this paper discusses the role of telehealth and digital care solutions, types and application of telehealth, and current policies for COVID-19. More importantly, findings from the article present the human, infrastructure, and institutional determinants that influence the adoption of telehealth and digital care solutions during the pandemic. The findings discuss how telehealth and digital care technologies can benefit the society. This study provides implications to informs medical staffs on the potential of digital technologies to provide support during and after the pandemic.

The Health Insurance Portability and Accountability Act of 1996 (HIPAA) requires that healthcare providers allow patients to engage in their healthcare by allowing access to their health records. Often patients need informal caregivers including family members or others to help them with their care. This paper explores whether trust is a key factor for informal caregivers' decision to use health information technologies (HIT) including electronic health records (EHR), patient portals, mobile apps, or other devices to care for their patient. Six reviewers conducted a comprehensive search of four literature databases using terms that pertained to a caregiver and trust to investigate the role trust plays when caregivers use HIT. While trust is a key factor for the use of HIT, it the researchers only identified ten articles that met the research question thresholds. Four main topics of trust surfaced including perceived confidentiality, perceived security, technological malfunction, and trustworthiness of the information. Trust is a critical factor for informal caregivers when using HIT to assist in the care of their patient (child, loved one, parent, or acquaintance). Based on the findings, it is clear that more research on the use of HIT by caregivers is needed.

This manuscript explores the depression disease management of Black Americans (N = 50) who post their experiences on YouTube. The narratives garnered five themes: (1) personal and national histories as a barrier to treatment and contributor to depression, (2) utilizing the social network as informal counseling and as the catalyst for formal counseling, (3) long-term undiagnosed depression management and mismanagement, (4) advocating to destigmatize and treat depression, and (5) positive experiences initiating and engaging in treatment. Novel findings include how participants discuss narratives in third person, the importance of the Youtube community, and advocacy to destigmatize and treat depression.