Systematic Review and Meta-analysis of the Impact of Surgeon-Physician Co-management Models on Short Term Outcomes for Vascular Surgery Inpatients.

OBJECTIVE: As the population ages, vascular surgeons are treating progressively older, multimorbid patients at risk of peri-operative complications. An embedded physician has been shown to improve outcomes in general and orthopaedic surgery. This systematic review and meta-analysis aimed to investigate the impact of surgeon-physician co-management models on morbidity and mortality rates in vascular inpatients. DATA SOURCES: PubMed, Scopus, Embase, conference abstract listings, and clinical trial registries. REVIEW METHODS: Studies comparing adult vascular surgery inpatients under co-management with standard of care were eligible. The relative risks (RRs) of death, medical complications, and 30 day re-admission between co-management and standard care were calculated. The effect of co-management on the mean length of stay was calculated using weighted means. Risk of bias was assessed using the Methodological Index for Non-Randomised Studies, and certainty assessment with the GRADE analysis tools. RESULTS: No randomised controlled trials were identified. Eight single institution studies between 2011 and 2020 with 7 410 patients were included. All studies were observational using before-after methodology. Studies were of high to moderate risk of bias, and outcomes were of very low GRADE certainty of evidence. Co-management was associated with a statistically significant lower relative risk of death (RR 0.64, 95% confidence interval [CI] 0.44 - 0.92; p = .02), cardiac complications (RR 0.47, 95% CI 0.25 - 0.87; p = .02), and infective complications (RR 0.49, 95% CI 0.35 - 0.67; p < .001) in vascular inpatients. No statistically significant differences in length of stay (standard mean difference -0.6 days, 95% CI -1.44 - 0.24 days; p = .16) and 30 day re-admission (RR 0.96, 95% CI 0.84 - 1.08; p = .49) were noted. CONCLUSION: Early results of physician and surgeon co-management for vascular surgery inpatients showed promising results from very low certainty data. Further well designed, prospective studies are needed to determine how to maximise the impact of physicians within a vascular service to improve patient outcomes while using hospital resources effectively.

Child-to-adult transition: a survey of current practices within the European Reference Network for Rare Neurological Diseases (ERN-RND).

BACKGROUND: Transition from child-centered to adult-centered healthcare is a gradual process that addresses the medical, psychological, and educational needs of young people in the management of their autonomy in making decisions about their health and their future clinical assistance. This transfer is challenging across all chronic diseases but can be particularly arduous in rare neurological conditions. AIM: To describe the current practice on the transition process for young patients in centers participating in the European Reference Network for Rare Neurological Diseases (ERN-RND). METHODS: Members of the ERN-RND working group developed a questionnaire considering child-to-adult transition issues and procedures in current clinical practice. The questionnaire included 20 questions and was sent to members of the health care providers (HCPs) participating in the network. RESULTS: Twenty ERN-RND members (75% adult neurologists; 25% pediatricians; 5% nurses or study coordinators) responded to the survey, representing 10 European countries. Transition usually occurs between 16 and 18 years of age, but 55% of pediatric HCPs continue to care for their patients until they reach 40 years of age or older. In 5/20 ERN-RND centers, a standardized procedure managing transition is currently adopted, whereas in the remaining centers, the transition from youth to adult service is usually assisted by pediatricians as part of their clinical practice. CONCLUSIONS: This survey demonstrated significant variations in clinical practice between different centers within the ERN-RND network. It provided valuable data on existing transition programs and highlighted key challenges in managing transitions for patients with rare neurological disorders.

Innovation in hospital pharmacy: Modeling the installation of automated dispensing systems based on an oncology hospital experience transfer.

OBJECTIVE: This study explores automated dispensing systems (ADS) implementation in hospitals, focusing on experience transfer between the National Institute of Oncology of Rabat (NIO) and the specialties hospital of Rabat (SHR) to develop a transferable ADS installation and management model. METHOD: A retrospective implementation and experience data analysis of 3 years ADS implementation at NIO and a prospective planification for SHR new implementation on 6 months were employed. Data collection included pharmacist team reports, personnel interviews, direct observations, and information system data exports. The study focused on identifying challenges a plan-do-check-act (PDCA) cycle. RESULTS: The analysis revealed overestimation in ADS needs at NIO about 42%, leading to: Resource exhaustion; Challenges in timeline installation staff training and management, Disruptions in data integration and Incident Reports. These issues underscored the importance of a phased, well-planned implementation process. DISCUSSION: The study highlighted the crucial role of many comprehensive strategies. In accordance with the results of several studies, this work demonstrates the benefits of ADS in reducing medication errors and enhancing resource management, while also pointing out the necessity for accurate system sizing, effective integration with hospital information systems, and comprehensive staff training. CONCLUSION: The experience transfer between NIO and SHR provides a valuable model for ADS implementation in hospital pharmacies, proposing optimizations on: Implementation process; Timelines and mapping; Risk management and incident reports; Staff training, sensibilization and change control.

Exploring patient safety risk in an emergency ward for substance use through a mixed-method analysis.

BACKGROUND: There is limited knowledge of how psychiatric patient safety measures can detect and understand risk as an emergent property within a healthcare system. Overcrowding poses a risk for patient safety in psychiatric emergency wards and is associated with increased mortality and violence. This paper aims to explore patterns of risk emergence in a psychiatric ward and provide insights into the dynamics of workload pressure. METHOD: A case study was conducted in a psychiatric emergency ward for patients with substance use disorders. The study employed a four-phased mixed-methods design. Phase one used clinical experts to identify patient safety pressure issues. Phase two used data on patient visits extracted from medical records between 2010 and 2020. In phase three, a quantitative analysis of patient visits and diagnosis was made. Phase four used a focus group of clinical experts for a semi-structured interview, analysing the result from phase three. RESULT: Trend analysis demonstrated a steady growth of patient visits to the emergency ward over the studied ten-year period. The findings showed a decrease in patients being diagnosed with delirium when visiting the emergency ward and an increase in percentage of patients receiving a psychosis diagnosis. The focus group expressed concerns about delayed treatments, increased violence and underestimating patients' needs. CONCLUSION: This study indicated that increased workload pressure can be predicted at a system level by analysing patient visits and diagnostics trends over time. The study advocates for ongoing awareness of patient safety risks by monitoring factors identified by clinical front-end workers as potential sources of risk. Healthcare management could employ supportive tools to detect and address emerging risks, including expected workload, overcrowding, staffing issues or bed shortages.

Disentangling organizational levers and economic benefits in transitional care programs: a systematic review and configurational analysis.

BACKGROUND: Promoting safe and efficient transitions of care is critical to reducing readmission rates and associated costs and improving the quality of patient care. A growing body of literature suggests that transitional care (TC) programs are effective in improving quality of life and reducing unplanned readmissions for several patient groups. TC programs are highly complex and multidimensional, requiring evidence on how specific practices and system characteristics influence their effectiveness in patient care, readmission reduction and costs. METHODS: Using a systematic review and a configurational approach, the study examines the role played by system characteristics (size, ownership, professional skills, technology used), the organizational components implemented, analyzing their combinations, and the potential economic impact of TC programs. RESULTS: The more organizational components are implemented, the greater the likelihood that a TC program will be successful in reducing readmission rates. Not all components have the same effect. The results show that certain components, 'post-discharge symptom monitoring and management' and 'discharge planning', are necessary but not sufficient to achieve the outcome. The results indicate the existence of two different combinations of components that can be considered sufficient for the reduction of readmissions. Furthermore, while system characteristics are underexplored, the study shows different ways of incorporating the skill mix of professionals and their mode of coordination in TC programs. Four organizational models emerge: the health-based monocentric, the social-based monocentric, the multidisciplinary team and the mono-specialist team. The economic impact of the programs is generally positive. Despite an increase in patient management costs, there is an overall reduction in all post-intervention costs, particularly those related to readmissions. CONCLUSIONS: The results underline the importance of examining in depth the role of system characteristics and organizational factors in facilitating the creation of a successful TC program. The work gives preliminary insights into how to systematize organizational practices and different coordination modes for facilitating decision-makers' choices in TC implementation. While there is evidence that TC programs also have economic benefits, the quality of economic evaluations is relatively low and needs further study.

Is it possible to make 'living' guidelines? An evaluation of the Australian Living Stroke Guidelines.

BACKGROUND: Keeping best practice guidelines up-to-date with rapidly emerging research evidence is challenging. 'Living guidelines' approaches enable continual incorporation of new research, assisting healthcare professionals to apply the latest evidence to their clinical practice. However, information about how living guidelines are developed, maintained and applied is limited. The Stroke Foundation in Australia was one of the first organisations to apply living guideline development methods for their Living Stroke Guidelines (LSGs), presenting a unique opportunity to evaluate the process and impact of this novel approach. METHODS: A mixed-methods study was conducted to understand the experience of LSGs developers and end-users. We used thematic analysis of one-on-one semi-structured interview and online survey data to determine the feasibility, acceptability, and facilitators and barriers of the LSGs. Website analytics data were also reviewed to understand usage. RESULTS: Overall, the living guidelines approach was both feasible and acceptable to developers and users. Facilitators to use included collaboration with multidisciplinary clinicians and stroke survivors or carers. Increased workload for developers, workload unpredictability, and limited information sharing, and interoperability of technological platforms were identified as barriers. Users indicated increased trust in the LSGs (69%), likelihood of following the LSGs (66%), and frequency of access (58%), compared with previous static versions. Web analytics data showed individual access by 16,517 users in 2016 rising to 53,154 users in 2020, a threefold increase. There was also a fourfold increase in unique LSG pageviews from 2016 to 2020. CONCLUSIONS: This study, the first evaluation of living guidelines, demonstrates that this approach to stroke guideline development is feasible and acceptable, that these approaches may add value to developers and users, and may increase guideline use. Future evaluations should be embedded along with guideline implementation to capture data prospectively.

Career decisions and aspirations of early-career nurses: Insights from a qualitative interpretative description study.

AIM: To explore the career decisions and aspirations of early-career registered nurses in New Brunswick, Canada. DESIGN: A qualitative study using an interpretive description approach was conducted. METHODS: Semi-structured one-on-one interviews were conducted with a purposive sample of nurses (n = 22) currently working in New Brunswick, Canada, with up to 5 years of experience from February to April 2022. RESULTS: Participants described diverse career paths and aspirations. Personal factors affecting these included the desire for meaningful work, career satisfaction, work-life balance, spending time with family, working in a preferred location, and finances. Professionally, working conditions were the dominant factor influencing early-career nurses' career decisions and aspirations. Participants described how short staffing, safety, support, and scheduling influenced their day-to-day work, mental and physical health, job and career satisfaction, and intent to leave. CONCLUSION: The findings highlighted the abundant and diverse career opportunities available to nurses early in their careers. Early-career nurses are interested in finding nursing positions with a high degree of person-job fit and value opportunities for ongoing professional education and growth. IMPACT: This study in New Brunswick, Canada, explores early-career nurses' career decisions and aspirations during nursing shortages and the pandemic, emphasizing the importance of person-job fit. Recommendations include improving working conditions and career pathways to enhance the sustainability of the nursing profession. REPORTING METHOD: Standards for Reporting Qualitative Research (SRQR). PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Enhancing AI competence in health management: students' experiences with ChatGPT as a learning Tool.

BACKGROUND: The healthcare industry has had to adapt to significant shifts caused by technological advancements, demographic changes, economic pressures, and political dynamics. These factors are reshaping the complex ecosystem in which healthcare organizations operate and have forced them to modify their operations in response to the rapidly evolving landscape. The increase in automation and the growing importance of digital and virtual environments are the key drivers necessitating this change. In the healthcare sector in particular, processes of change, including the incorporation of artificial intelligent language models like ChatGPT into daily life, necessitate a reevaluation of digital literacy skills. METHODS: This study proposes a novel pedagogical framework that integrates problem-based learning with the use of ChatGPT for undergraduate healthcare management students, while qualitatively exploring the students' experiences with this technology through a thematic analysis of the reflective journals of 65 students. RESULTS: Through the data analysis, the researcher identified five main categories: (1) Use of Literacy Skills; (2) User Experiences with ChatGPT; (3) ChatGPT Information Credibility; (4) Challenges and Barriers when Working with ChatGPT; (5) Mastering ChatGPT-Prompting Competencies. The findings show that incorporating digital tools, and particularly ChatGPT, in medical education has a positive impact on students' digital literacy and on AI Literacy skills. CONCLUSIONS: The results underscore the evolving nature of these skills in an AI-integrated educational environment and offer valuable insights into students' perceptions and experiences. The study contributes to the broader discourse about the need for updated AI literacy skills in medical education from the early stages of education.

Psychiatric electronic health records in the era of data breaches - What are the ramifications for patients, psychiatrists and healthcare systems?

OBJECTIVE: To update psychiatrists and trainees on the realised risks of electronic health record data breaches. METHODS: This is a selective narrative review and commentary regarding electronic health record data breaches. RESULTS: Recent events such as the Medibank and Australian Clinical Labs data breaches demonstrate the realised risks for electronic health records. If stolen identity data is publicly released, patients and doctors may be subject to blackmail, fraud, identity theft and targeted scams. Medical diagnoses of psychiatric illness and substance use disorder may be released in blackmail attempts. CONCLUSIONS: Psychiatrists, trainees and their patients need to understand the inevitability of electronic health record data breaches. This understanding should inform a minimised collection of personal information in the health record to avoid exposure of confidential information and identity theft. Governmental regulation of electronic health record privacy and security is needed.

A meta-analysis of technology acceptance in healthcare from the consumer's perspective.

Consumer-oriented health care technologies are increasingly available and transforming global health delivery systems. However, there is a paucity of research that systematically investigates health care technology acceptance from the consumer's perspective. This study conducts a literature review and meta-analysis to examine consumers' adoption intentions toward health care technologies. The findings suggest that technology acceptance models are transferable to health care technology with modifications, and factors such as perceived risks, technology performance expectancy, consumer trust, and habit significantly correlate with consumers' adoption intentions. This study provides valuable insights into health care technology management and practical implications for health care service designers, providers, and regulatory authorities.

[Demands, resources, and work engagement of lower and middle level nurse managers: a cross-sectional study]. / Anforderungen, Ressourcen und Arbeitsengagement von Pflegemanager_innen der unteren und mittleren Ebene.

Demands, resources, and work engagement of lower and middle level nurse managers: a cross-sectional study Abstract. Background: Given their responsibilities, lower- and middle-level nurse managers hold a key role in the health care system. Their performance and health are affected by their work engagement, which according to the Job-Demands-Resources-Model depends on job-related demands and resources. To date, there is a lack of studies on the demands, resources, and work engagement of nurse managers in Germany. Objective: First, the study aimed to describe the job demands and resources as well as the work engagement of lower and mid-level nurse managers in hospitals and geriatric care facilities in Germany. Second, the aim was to explore potential differences in these areas between different groups, particularly regarding gender, age, and management level. Methods: The study used a cross-sectional design. Data were collected by an online survey. N = 408 cases could be evaluated. Results: Work overload is the most prominent demand, followed by emotional demands. In terms of resources, nurse managers can primarily draw on positive social relationships. The available professional resources are rated critically. Work engagement is moderate. Conclusions: The study indicates a clear need for action regarding an improvement in work engagement. In particular, work overload and professional resources need to be addressed by appropriate systemwide and organization-related measures.

Implementation of Precision Oncology in Clinical Practice: Results of a National Survey for Health Care Professionals.

BACKGROUND: Two main aspects lead the implementation of precision oncology into clinical practice: the adoption of extended genome sequencing technologies and the institution of the Molecular Tumor Boards (MTBs). CIPOMO (Italian Association of Heads of Oncology Department) promoted a national survey across top health care professionals to gain an understanding of the current state of precision oncology in Italy. METHODS: Nineteen questions were sent via the SurveyMonkey platform to 169 heads of oncology departments. Their answers were collected in February 2022. RESULTS: Overall, 129 directors participated; 113 sets of answers were analyzed. Nineteen regions out of 21 participated as a representative sample of the Italian health care system. The use of next-generation sequencing (NGS) is unevenly distributed; informed consent and clinical reports are managed differently, as the integration of medical, biologic, and informatics domains in a patient-centered workflow is inconsistent. A heterogeneous MTB environment emerged. A total of 33.6% of the responding professionals did not have access to MTBs while 76% of those who have did not refer cases. CONCLUSIONS: NGS technologies and MTBs are not homogeneously implemented in Italy. This fact potentially jeopardizes equal access chances to innovative therapies for patients. This survey was carried out as part of an organizational research project, pursuing a bottom-up approach to identify the needs and possible solutions to optimize the process. These results could be a starting point for clinicians, scientific societies, and health care institutions to outline the best practices and offer shared recommendations for precision oncology implementation in current clinical practice.

Performance analysis of English hospitals during the first and second waves of the coronavirus pandemic.

The coronavirus infection COVID-19 killed millions of people around the world in 2019-2022. Hospitals were in the forefront in the battle against the pandemic. This paper proposes a novel approach to assess the effectiveness of hospitals in saving lives. We empirically estimate the production function of COVID-19 deaths among hospital inpatients, applying Heckman's two-stage approach to correct for the bias caused by a large number of zero-valued observations. We subsequently assess performance of hospitals based on regression residuals, incorporating contextual variables to convex quantile regression. Data of 187 hospitals in England over a 35-week period from April to December 2020 is divided in two sub-periods to compare the structural differences between the first and second waves of the pandemic. The results indicate significant performance improvement during the first wave, however, learning by doing was offset by the new mutated virus straits during the second wave. While the elderly patients were at significantly higher risk during the first wave, their expected mortality rate did not significantly differ from that of the general population during the second wave. Our most important empirical finding concerns large and systematic performance differences between individual hospitals: larger units proved more effective in saving lives, and hospitals in London had a lower mortality rate than the national average.

Development and initial validation of the addressing client needs with social determinants of health scale (ACN: SDH).

BACKGROUND: The purpose of this study was to validate a scale that can be used by healthcare service professionals, healthcare systems, educators, and researchers to assess health service professionals' social determinants of health (SDOH) competency; with competency defined as their knowledge, awareness-biases, skills, and actual preparedness to address SDOH challenges. METHODS: An Exploratory Factor Analysis (EFA) was conducted with a sample of 220 health service professionals, and 6 factors were identified. A Confirmatory Factor Analysis (CFA) was conducted with 303 health service professionals and the 6-factor solution was supported, with 22 items. RESULTS: The reliability estimates for the 6 factors are as follows: Factor 1, Action Toward Addressing SDOH (a = .85); Factor 2, SDOH Knowledge (a = .94); Factor 3, Negative Attitude toward Addressing SDOH (a = .79); Factor 4, Systemic Accountability (a = .81); Factor 5, School Preparation (a = .86); and Factor 6, Perception of the Cause of SDOH (a = .94). CONCLUSION: The ACN:SDH scale is the first validated measure that can be used to systematically appraise health service professionals' SDOH competency.

'Social' media? How Swiss hospitals used social media platforms during the early months of the COVID-19 pandemic crisis.

OBJECTIVES: This paper about social media platforms of Swiss hospitals refers to the period between 10 February 2020 and 6 July 2020. The study included in-depth insights into the use of platforms, content analyses of posts and resonance of the posts. The study's objective was to get insights into social media post creation by and corresponding resonance in pandemic crisis. STUDY DESIGN: This study included collection and analyses of posts created by a selection of Swiss hospitals during the period of study. All university hospitals and a variety of private and regional hospitals in all regions of Switzerland are represented. The data collection started before the official shutdown in Switzerland. METHODS: This study used mixed method approach and content analysis to evaluate 2,326 posts during the study period related to the COVID-19 pandemic. RESULTS: During the first phase of the pandemic, hospitals used social media platforms more frequently than normal. Especially in the first month, the number of posts rose disproportionally. The numbers dropped back to the initial situation after only 4 months into the COVID-19 pandemic. Most hospitals used Facebook and Twitter, whereas Instagram and YouTube's use were marginal. University hospitals used social media platforms differently than regional hospitals. CONCLUSION: Most posts generated only a very low response with a median of 2. Hospitals were therefore not able to create engagement of their followers. However, hospitals that publish actively were able to build a more active community. Only a small number of posts led to heated discussions in the comments. These viral posts shared information on the illness, the vaccination, children and COVID-19.

Transdisciplinary experiential learning in biomedical engineering education for healthcare systems improvement.

BACKGROUND: The growing demand for more efficient, timely, and safer health services, together with insufficient resources, put unprecedented pressure on health systems worldwide. This challenge has motivated the application of principles and tools of operations management and lean systems to healthcare processes to maximize value while reducing waste. Consequently, there is an increasing need for professionals with the appropriate clinical experience and skills in systems and process engineering. Given their multidisciplinary education and training, biomedical engineering professionals are likely among the most suitable to assume this role. In this context, biomedical engineering education must prepare students for a transdisciplinary professional role by including concepts, methods, and tools that commonly belong to industrial engineering. This work aims to create relevant learning experiences for biomedical engineering education to expand transdisciplinary knowledge and skills in students to improve and optimize hospital and healthcare care processes. METHODS: Healthcare processes were translated into specific learning experiences using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. This model allowed us to systematically identify the context where learning experiences were expected to occur, the new concepts and skills to be developed through these experiences, the stages of the student's learning journey, the resources required to implement the learning experiences, and the assessment and evaluation methods. The learning journey was structured around Kolb's experiential learning cycle, which considers four stages: concrete experience, reflective observation, abstract conceptualization, and active experimentation. Data on the student's learning and experience were collected through formative and summative assessments and a student opinion survey. RESULTS: The proposed learning experiences were implemented in a 16-week elective course on hospital management for last-year biomedical engineering undergraduate students. Students engaged in analyzing and redesigning healthcare operations for improvement and optimization. Namely, students observed a relevant healthcare process, identified a problem, and defined an improvement and deployment plan. These activities were carried out using tools drawn from industrial engineering, which expanded their traditional professional role. The fieldwork occurred in two large hospitals and a university medical service in Mexico. A transdisciplinary teaching team designed and implemented these learning experiences. CONCLUSIONS: This teaching-learning experience benefited students and faculty concerning public participation, transdisciplinarity, and situated learning. However, the time devoted to the proposed learning experience represented a challenge.

An investigation into managerial support for the psychological wellbeing of national health service doctors during the Covid-19 pandemic: A cross sectional study.

AIM: This study investigates the psychological wellbeing of United Kingdom National Health Service doctors during the Covid-19 pandemic and evaluates how they have been supported managerially. METHOD: A mixed-method sequential study design of online surveys and semi-structured interviews was employed between July-August 2020, with a response rate of 273/300 and 4/4 respectively. The Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS) and Health and Safety Executive Management Standards (HSE MS) were used as measuring tools. The Jobs Demands Resource (JD-R) model and its relation to psychological wellbeing was determined. Survey findings informed semi-structured interviews, coded using thematic analysis. RESULTS: Overall mean WEMWBS, 43.2 (SD = 9.44), was low as was mean managerial support, 2.38 (SD = 0.78). Overall mean clinical demand score was high (2.6 on reverse scale). First year female trainee respondents from frontline specialties were found to have low psychological wellbeing scores. Key correlations were found between high managerial support, low clinical demands and low psychological wellbeing (r > 0.6). Core themes emerged: (1) breakdown of leadership, (2) vulnerability of wellbeing without support, (3) suboptimal navigation through change and (4) poor physical and human resource management. CONCLUSION: Maintaining the psychological wellbeing of doctors requires physical and psychological resources to meet clinical demands and the enhancement of fundamental managerial principles of control, communication, change management and leadership through adversity.

Performance measurement and user-centeredness in the healthcare sector: Opening the black box adapting the framework of Donabedian.

The framework of Donabedian is widely applied to performance assessment at the healthcare system level. Donabedian categorised the care quality measurement around three dimensions, namely structure, process, and outcomes. The first dimension concerns the inputs; the second one, the combinations of factors and inputs; the last one, the effectiveness in terms of patients' health status. Donabedian early included in the last dimension the patient satisfaction. Nevertheless, nowadays, outcomes are generally measured through hard endpoints, such as re-admissions and mortality indicators. Recently, the Patient-Reported Outcome Measures (PROMs) have been included among the outcome measures within the Donabedian framework. How to move the concept of patient-centeredness to a macro level, including the patient point of view in care quality measurement, evaluation, and improvement? This paper integrates the Donabedian structure-process-outcome framework, by incorporating in the proper dimension the patient-indicators, namely the abovementioned PROMs and Patient-Reported Experience Measures (PREMs). While PROMs are clearly measures of outcome, PREMs can be collocated in the process dimension, since they can be useful for mapping processes and care pathways, in a lean perspective, as well as in the outcome dimension, because inherently linked to outcome, and enablers of patient-centeredness.

Intra- and Extra-Hospitalization Monitoring of Vital Signs-Two Sides of the Same Coin: Perspectives from LIMS and Greenline-HT Study Operators.

BACKGROUND: In recent years, due to the epidemiological transition, the burden of very complex patients in hospital wards has increased. Telemedicine usage appears to be a potential high-impact factor in helping with patient management, allowing hospital personnel to assess conditions in out-of-hospital scenarios. METHODS: To investigate the management of chronic patients during both hospitalization for disease and discharge, randomized studies (LIMS and Greenline-HT) are ongoing in the Internal Medicine Unit at ASL Roma 6 Castelli Hospital. The study endpoints are clinical outcomes (from a patient's perspective). In this perspective paper, the main findings of these studies, from the operators' point of view, are reported. Operator opinions were collected from structured and unstructured surveys conducted among the staff involved, and their main themes are reported in a narrative manner. RESULTS: Telemonitoring appears to be linked to a reduction in side-events and side-effects, which represent some of most commons risk factors for re-hospitalization and for delayed discharge during hospitalization. The main perceived advantages are increased patient safety and the quick response in case of emergency. The main disadvantages are believed to be related to low patient compliance and an infrastructural lack of optimization. CONCLUSIONS: The evidence of wireless monitoring studies, combined with the analysis of activity data, suggests the need for a model of patient management that envisages an increase in the territory of structures capable of offering patients subacute care (the possibility of antibiotic treatments, blood transfusions, infusion support, and pain therapy) for the timely management of chronic patients in the terminal phase, for which treatment in acute wards must be guaranteed only for a limited time for the management of the acute phase of their diseases.

A Markovian model for the spread of the SARS-CoV-2 virus.

We propose a Markovian stochastic approach to model the spread of a SARS-CoV-2-like infection within a closed group of humans. The model takes the form of a Partially Observable Markov Decision Process (POMDP), whose states are given by the number of subjects in different health conditions. The model also exposes the different parameters that have an impact on the spread of the disease and the various decision variables that can be used to control it (e.g, social distancing, number of tests administered to single out infected subjects). The model describes the stochastic phenomena that underlie the spread of the epidemic and captures, in the form of deterministic parameters, some fundamental limitations in the availability of resources (hospital beds and test swabs). The model lends itself to different uses. For a given control policy, it is possible to verify if it satisfies an analytical property on the stochastic evolution of the state (e.g., to compute probability that the hospital beds will reach a fill level, or that a specified percentage of the population will die). If the control policy is not given, it is possible to apply POMDP techniques to identify an optimal control policy that fulfils some specified probabilistic goals. Whilst the paper primarily aims at the model description, we show with numeric examples some of its potential applications.