Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead).

INTRODUCTION: Post-operative delirium (POD) is a common complication in older patients, with an incidence of 14-56%. To implement preventative procedures, it is necessary to identify patients at risk for POD. In the present study, we aimed to develop a machine learning (ML) model for POD prediction in older patients, in close cooperation with the PAWEL (patient safety, cost-effectiveness and quality of life in elective surgery) project. METHODS: The model was trained on the PAWEL study's dataset of 878 patients (no intervention, age ≥ 70, 209 with POD). Presence of POD was determined by the Confusion Assessment Method and a chart review. We selected 15 features based on domain knowledge, ethical considerations and a recursive feature elimination. A logistic regression and a linear support vector machine (SVM) were trained, and evaluated using receiver operator characteristics (ROC). RESULTS: The selected features were American Society of Anesthesiologists score, multimorbidity, cut-to-suture time, estimated glomerular filtration rate, polypharmacy, use of cardio-pulmonary bypass, the Montreal cognitive assessment subscores 'memory', 'orientation' and 'verbal fluency', pre-existing dementia, clinical frailty scale, age, recent falls, post-operative isolation and pre-operative benzodiazepines. The linear SVM performed best, with an ROC area under the curve of 0.82 [95% CI 0.78-0.85] in the training set, 0.81 [95% CI 0.71-0.88] in the test set and 0.76 [95% CI 0.71-0.79] in a cross-centre validation. CONCLUSION: We present a clinically useful and explainable ML model for POD prediction. The model will be deployed in the Supporting SURgery with GEriatric Co-Management and AI project.

[Functionality and everyday suitability of commercially wristwear products for frail older people - a comparative product testing]. / Funktionalität und Alltagstauglichkeit kommerziell erhältlicher Wristwear-Produkte für gebrechliche ältere Menschen : Ein vergleichender Produkttest.

BACKGROUND AND AIM: There is a wide range of smartwatches and emergency watches on the market that are specifically designed for older people. The products are freely available, which is why there is an urgent need for information about the reliability and functionality of the products among potential users, but also health professionals and decision-makers. As part of a systematic product comparison test, the functionality and quality of seven smartwatches were investigated. METHOD: Four watches for seniors, one watch for adults and two watches for children, but with comparable functionalities, were included in the test. For the test, real-life situations were simulated and, in addition to emergency calls, GPS tracking, fall detection and geofencing, the battery life, call quality, stability/robustness of the products and service/support were evaluated. From the total number of points, a grade was determined based on the German school grading system (1 = very good to 6 = insufficient). RESULTS: All smartwatches evaluated were rated at least "3-satisfactory". The two best-rated watches received a score of 1.8. The differences were particularly evident in the emergency call functionality, battery life, precision of the tracking function, and service/support. The call quality, with one exception, and the stability/robustness were consistently rated as "1-very good". Three watches in the test were able to detect falls with variable results. CONCLUSION: The functionality and usability of the tested products differed considerably. A focus on a few main functions can even provide added value for older, frail people. Continuous comparative testing of products for this target group with new and updated products is desirable.

Use and benefit of information, communication, and assistive technology among community-dwelling older adults - a cross-sectional study.

BACKGROUND: Technology can support healthy aging and empower older adults to live independently. However, technology adoption by older adults, particularly assistive technology (AT), is limited and little is known about the types of AT used among older adults. This study explored the use of key information and communication technologies (ICT) and AT among community-dwelling adults aged ≥ 65. METHODS: A cross-sectional study was conducted among community-dwelling adults aged ≥ 65 in southern Germany using a paper-based questionnaire. The questionnaire included questions on the three domains sociodemographic aspects, health status, and technology use. Technology use was considered separately for key ICT (smartphone, computer/laptop, and tablet) and a range of 31 different AT. Data were analyzed using descriptive statistics, univariate analyses, and Bernoulli Naïve Bayes modelling. RESULTS: The questionnaire was answered by 616 participants (response rate: 24.64%). ICT were used by 497 (80.68%) participants and were associated with lower age, higher level of education, living together with someone, availability of internet connection, higher interest in technology, and better health status (p < .05). No association was found with sex and size of the hometown. The most frequently owned AT were a landline phone, a body scale, and a blood pressure monitor. Several AT related to functionality, (instrumental) activities of daily living- (IADL), and morbidity were used more frequently among non-ICT users compared to ICT-users: senior mobile phone (19.33% vs. 3.22%), in-house emergency call (13.45% vs. 1.01%), hearing aid (26.89% vs. 16.7%), personal lift (7.56% vs. 1.61%), electronic stand-up aid (4.2% vs. 0%). Those with higher interest in technology reported higher levels of benefit from technology use. CONCLUSIONS: Despite the benefits older adults can gain from technology, its use remains low, especially among those with multimorbidity. Particularly newer, more innovative and (I)ADL-related AT appear underutilized. Considering the potential challenges in providing adequate care in the future, it may be crucial to support the use of these specific AT among older and frailer populations. To focus scientific and societal work, AT with a high impact on autonomy ((I)ADL/disease-related) should be distinguished from devices with a low impact on autonomy (household-/ comfort-related).

Change of Technology Use Among Community-Dwelling Older Adults During the COVID-19 Pandemic.

Older adults are at increased risk of loneliness, even more so in times of a pandemic. Technology can be one way to support people to stay connected. This study examined how the Covid-19 pandemic affected technology use of older adults in Germany. A questionnaire was sent to 2,500 adults aged 65.Of 498 participants included in this study sample, 24.1% (n=120) reported an increased technology use.Feeling lonely often or sometimes was reported by 27.91% (n=139). Overall, people who were younger and lonelier were more likely to increase their technology use during the pandemic.

Legal and Ethical Challenges in the Development of mHealth Applications.

Researchers frequently face ethical and privacy challenges on health applications. Ethics is a branch of moral philosophy and deals with the "right" and "good" actions of humans, which often leads to dilemmas. Reasons for this are social and societal dependencies of the respective norms. Data protection is regulated by law throughout Europe. This poster provides guidance on these challenges.

Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead): A study protocol for the development of a digital geriatrician.

INTRODUCTION: Geriatric co-management is known to improve treatment of older adults in various clinical settings, however, widespread application of the concept is limited due to restricted resources. Digitalization may offer options to overcome these shortages by providing structured, relevant information and decision support tools for medical professionals. We present the SURGE-Ahead project (Supporting SURgery with GEriatric co-management and Artificial Intelligence) addressing this challenge. METHODS: A digital application with a dashboard-style user interface will be developed, displaying 1) evidence-based recommendations for geriatric co-management and 2) artificial intelligence-enhanced suggestions for continuity of care (COC) decisions. The development and implementation of the SURGE-Ahead application (SAA) will follow the Medical research council framework for complex medical interventions. In the development phase a minimum geriatric data set (MGDS) will be defined that combines parametrized information from the hospital information system with a concise assessment battery and sensor data. Two literature reviews will be conducted to create an evidence base for co-management and COC suggestions that will be used to display guideline-compliant recommendations. Principles of machine learning will be used for further data processing and COC proposals for the postoperative course. In an observational and AI-development study, data will be collected in three surgical departments of a University Hospital (trauma surgery, general and visceral surgery, urology) for AI-training, feasibility testing of the MGDS and identification of co-management needs. Usability will be tested in a workshop with potential users. During a subsequent project phase, the SAA will be tested and evaluated in clinical routine, allowing its further improvement through an iterative process. DISCUSSION: The outline offers insights into a novel and comprehensive project that combines geriatric co-management with digital support tools to improve inpatient surgical care and continuity of care of older adults. TRIAL REGISTRATION: German clinical trials registry (Deutsches Register für klinische Studien, DRKS00030684), registered on 21st November 2022.

Chances and Risks of Using Robotic Assistance Systems in Early Neurological Rehabilitation: A Qualitative Analysis.

Robotic assistance systems offer new therapeutic perspectives for patient mobilization. This work aims to investigate the chances and risks of robotic assistance systems in early neurological rehabilitation. Nine professionals working in physiotherapy and nursing were interviewed on their opinion on robotic assistance systems. The experts were recruited in three different clinics, one of which has already established robot-assisted rehabilitation. 171 individual codes were extracted from the interviews. Based on the professionals' statements and the literature, the most significant added value of robotic assistance systems is seen in the expected relief of employees. The study results and the literature confirm the potential of robotic systems for early neurological rehabilitation.

The Effectiveness of Assistive Technologies for Older Adults and the Influence of Frailty: Systematic Literature Review of Randomized Controlled Trials.

BACKGROUND: The use of assistive technologies (ATs) to support older people has been fueled by the demographic change and technological progress in many countries. These devices are designed to assist seniors, enable independent living at home or in residential facilities, and improve quality of life by addressing age-related difficulties. OBJECTIVE: We aimed to evaluate the effectiveness of ATs on relevant outcomes with a focus on frail older adults. METHODS: A systematic literature review of randomized controlled trials evaluating ATs was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The Ovid Medline, PsycINFO, SocIndex, CINAHL (Cumulative Index to Nursing and Allied Health Literature), CENTRAL (Cochrane Central Register of Controlled Trials), and IEEEXplore databases were searched from January 1, 2009, to March 15, 2019. ATs were included when aiming to support the domains autonomy, communication, or safety of older people with a mean age ≥65 years. Trials performed within a laboratory setting were excluded. Studies were retrospectively categorized according to the physical frailty status of participants. RESULTS: A total of 19 trials with a high level of heterogeneity were included in the analysis. Six device categories were identified: mobility, personal disease management, medication, mental support, hearing, and vision. Eight trials showed significant effectiveness in all or some of the primary outcome measures. Personal disease management devices seem to be the most effective, with four out of five studies showing significant improvement of disease-related outcomes. Frailty could only be assessed for seven trials. Studies including participants with significant or severe impairment showed no effectiveness. CONCLUSIONS: Different ATs show some promising results in well-functioning but not in frail older adults, suggesting that the evaluated ATs might not (yet) be suitable for this subgroup. The uncertainty of the effectiveness of ATs and the lack of high-quality research for many promising supportive devices were confirmed in this systematic review. Large studies, also including frail older adults, and clear standards are needed in the future to guide professionals, older users, and their relatives. TRIAL REGISTRATION: PROSPERO CRD42019130249; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=130249.

Findings from a Panel Discussion on Evaluation Methods in Medical Informatics.

Healthcare systems are challenged by increasing costs. Digital technology can help to combat this trend. Evaluation of these technologies is uncommon or incomplete. Scholars have called for a standardized and holistic evaluation. We provide a synthesis of an online panel on medical informatics (MI) and stipulate a discussion on new guidelines for medical informatics project evaluations. The panel consisted of presentations and a discussion. The presentations gave the participants an overview of evaluation methods currently used in different medical informatics domains and their shortcomings. The presenters highlighted new evaluation methods such as a roadmap for economic analysis of eHealth projects and the German Digital Healthcare Act methods. Participants discussed the shortcomings of RCTs and methods that need to be included in eHealth evaluation and called for new evaluation methods. The discussion showed weaknesses of the currently used methods and underlined the need for a new, holistic evaluation standard for MI.

Quantifying Heterogeneity in Tumors: Proposing a New Method Utilizing Convolutional Neuronal Networks.

Heterogeneity is a hallmark of glioblastoma (GBM), the most common malignant brain tumor, and a key reason for the poor survival rate of patients. However, establishing a clinically applicable, cost-efficient tool to measure and quantify heterogeneity is challenging. We present a novel method in an ongoing study utilizing two convolutional neuronal networks (CNN). After digitizing tumor samples, the first CNN delimitates GBM from normal tissue, the second quantifies heterogeneity within the tumor. Since neuronal networks can detect and interpret underlying and hidden information within images and have the ability to incorporate different information sets (i.e. clinical data and mutational status), this approach might venture towards a next level of integrated diagnosis. It may be applicable to other tumors as well and lead to a more precision-based medicine.

Socio-Organizational Impact of Confocal Laser Endomicroscopy in Neurosurgery and Neuropathology: Results from a Process Analysis and Expert Survey.

During brain tumor resection surgery, it is essential to determine the tumor borders as the extent of resection is important for post-operative patient survival. The current process of removing a tissue sample for frozen section analysis has several shortcomings that might be overcome by confocal laser endomicroscopy (CLE). CLE is a promising new technology enabling the digital in vivo visualization of tissue structures in near real-time. Research on the socio-organizational impact of introducing this new methodology to routine care in neurosurgery and neuropathology is scarce. We analyzed a potential clinical workflow employing CLE by comparing it to the current process. Additionally, a small expert survey was conducted to collect data on the opinion of clinical staff working with CLE. While CLE can contribute to a workload reduction for neuropathologists and enable a shorter process and a more efficient use of resources, the effort for neurosurgeons and surgery assistants might increase. Experts agree that CLE offers huge potential for better diagnosis and therapy but also see challenges, especially due to the current state of experimental use, including a risk for misinterpretations and the need for special training. Future studies will show whether CLE can become part of routine care.

Obstacles to Using Assistive Technology for Older Adults - Results from a Focus Group Analysis.

Much hope is placed in the use of assistive technologies (AT) to support older adults and retain their independence and quality of life. AT could also be a way to help fulfill the increasing requirements of caring for an aging population. While many devices are freely available, successful and broad adoption is progressing slowly. In a qualitative analysis, we investigated the popularity of AT and the willingness to and obstacles for use. Eleven older adults aged 62-85 participated in three groups, each focusing on a specific age-related case example. Using content analysis, statements have been categorized into three levels: the affected person, their surroundings, and supportive devices. Information (knowledge, consultation) was the topic spoken about the most (n=101), followed by statements focusing on everyday life and the use of assistive devices (n=99). Comments on economic topics carried the least weight (n=28). The biggest obstacles for the reluctant adoption of AT don't seem to be acceptance issues but rather a lack of knowledge of AT and where to get counseling. Thus, the provision and promotion of coherent information material and accessible consultation for users and relatives should be prioritized. AT training for healthcare professionals can provide further opportunities.

The impact of the Maritime Labor Convention on seafarers' working and living conditions: an analysis of port state control statistics.

BACKGROUND: The Maritime Labour Convention, 2006 (MLC2006) entered into force in August 2013 and is a milestone for better working and living conditions (WLC) for seafarers. As of March 2020, 96 countries have ratified the MLC2006, covering more than 90% of the world's shipping fleet. A system of port state control (PSC) allows ratifying countries to inspect any foreign ship arriving in their ports for compliance with the convention. It is intended as a second safety measure for the identification of substandard ships that sail all over the world. Nine regional agreements, so-called Memoranda of Understanding (MoU), have been signed to coordinate and standardize PSC inspections and to increase efficiency by sharing inspections and information. This paper uses public PSC statistics to evaluate the impact of the MLC2006. METHODS: A preliminary analysis using registered tonnage and MLC2006 ratification was conducted and seven MoU were selected for the analysis. The annual reports of these MoU have been viewed in September 2019. Numbers on annual inspections, deficiencies and detentions and in particular data for deficiencies related to living and working conditions and certificates and documents, have been extracted and analyzed for the years 2010 to 2017. RESULTS: Across the eight-year period analyzed, inspection numbers remained stable among all MoU authorities. Deficiencies overall and deficiencies related to WLC declined, indicating an improvement in conditions overall and an increased focus on seafarers' conditions on board. After the MLC2006 entered into force, three MoU reported WLC-ratios above 14%, while the numbers didn't rise above 10% in the other four authorities. Deficiencies related to certificates and documents did not rise significantly between 2010 and 2017. Two European MoU showed the highest ratios for deficiencies in both categories analyzed. CONCLUSION: The analysis confirmed that an increasing attention is being paid to the inspection of working and living conditions, especially in European countries. However, a clear positive impact of the MLC2006 could not be determined from the PSC statistics in this analysis. A large variation still exists among the MoU, a fact that demands increased efforts for harmonization of PSC procedures.

Digitalizing Nursing in the Bavarian Swabia Region of Germany - Presentation of the Joint Project CARE REGIO.

The joint research project CARE REGIO aims to modernize the care system with digital solutions. We focus on the development of a uniform electronic care record, uniform data exchange between care facilities, and technical assistive systems, which shall all be unified in a standardized care-based storage solution.

Confocal Laser Endomicroscopy for Intraoperative Tumor Assessment: Development of a Conceptual Model for an Evaluation Study.

Brain tumor surgery is a complex medical procedure. The extent of tumor resection is essential for postoperative recovery and survival. The neurosurgeon needs to regularly check the borderline between healthy and cancerous tissue. Currently, tissue samples are extracted via instantaneous sections and sent to a neuropathologist for examination. This process takes time and requires extensive human resources. Confocal laser endomicroscopy (CLE) allows visualization of cellular structures in vivo without the need for sample extraction. This paper presents a conceptual model which serves as the hypothetical basis for a planned intervention study to evaluate CLE with the case example of brain tumor surgery. Using current literature and expert interviews, the model has been tested. The expected improvement of the medical outcome could be confirmed. Regarding the socioeconomic impact of CLE, the literature is scarce. Expert interviews confirmed the hypotheses that costs and the workload for clinical staff might increase.

Investigating Ethical, Legal, and Socio-Technical Barriers of Medical Data Donation and Developing a Concept to Address Them - A Research Protocol.

Medical data are being generated in large quantities. However, these data are rarely used beyond their primary purpose. Big data methods to medical data offer the opportunity to transform healthcare. The healthcare industry has been a lot less successful than other industries in applying these new tools. Main reasons are privacy concerns and the fact that medical data in Germany are scattered across institutions. The method of data donation can offer a solution. The first aim of the proposed Medical Data Donation Enabler (MADE) project is to investigate ethical, legal and socio-technical barriers to data donation. The second aim is to develop a concept of a medical data donation process model that addresses the barriers by providing a data donation process model. The process model concept created through MADE could be provided for this purpose.

Seafarers' views on the impact of the Maritime Labour Convention 2006 on their living and working conditions: results from a pilot study.

BACKGROUND: The Maritime Labour Convention 2006 (MLC2006) entered into force in 2013 and is the first comprehensive set of standards for better living and working conditions covering aspects such as wages, contracts, food, medical care and social security. Currently, the Convention covers more than 90% of the world's shipping fleet. The aim of the study was to investigate the impact of the MLC2006 on the living and working conditions of seafarers and to test and adjust the methods for future use through a pilot study. This article presents the seafarers' perceived impact of MLC2006. MATERIALS AND METHODS: A mixed-method research approach was used (February to April 2018). The quantitative data of 55 seafarers were analysed using descriptive statistics. Qualitative data obtained through a focus group interview and thematic content analysis was applied. RESULTS: Remarkably, one third of the respondents pointed out a complete lack of improvement, while 43.6% stated that the MLC2006 had improved their working and living conditions "somewhat" and only 7.3% "to a great extend". The focus group participants agreed that the MLC2006 did not improve working conditions but mostly increased paperwork. Other issues of concern were the safety on board including safety training, long working hours connected to low manning, food and social difficulties. CONCLUSIONS: For Danish seafarers, the MLC2006 did not have a significant impact, as most standards were in place before. It must be further investigated what the MLC2006 achieved for other flag states, especially in the light of its 5-year anniversary. Both methods yielded valuable data. Focus groups are an ideal setting to study the views of seafarers.