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Background
Digital health technologies enable patients to make a personal contribution to the improvement of their health by enabling them to manage their health. In order to exploit the potential of digital health technologies, Internet-based networking between patients and health care providers is required. However, this networking and access to digital health technologies are less prevalent in sociodemographically deprived cohorts. The paper explores how the use of digital health technologies, which connect patients with health care providers and health insurers has changed during the COVID-19 pandemic.
Methods
The data from a German-based cross-sectional online study conducted between April 29 and May 8, 2020, were used for this purpose. A total of 1.570 participants were included in the study. Accordingly, the influence of sociodemographic determinants, subjective perceptions, and personal competencies will affect the use of online booking of medical appointments and medications, video consultations with providers, and the data transmission to health insurers via an app.
Results
The highest level of education (OR 1.806) and the presence of a chronic illness (OR 1.706) particularly increased the likelihood of using online booking. With regard to data transmission via an app to a health insurance company, the strongest increase in the probability of use was shown by belonging to the highest subjective social status (OR 1.757) and generation Y (OR 2.303). Furthermore, the results show that the higher the subjectively perceived restriction of the subjects' life situation was due to the COVID-19 pandemic, the higher the relative probability of using online booking (OR 1.103) as well as data transmission via an app to a health insurance company (OR 1.113). In addition, higher digital literacy contributes to the use of online booking (OR 1.033) and data transmission via an app to the health insurer (OR 1.034).
Conclusions
Socially determined differences can be identified for the likelihood of using digital technologies in health care, which persist even under restrictive conditions during the COVID-19 pandemic. Thus, the results indicate a digital divide with regard to the technologies investigated in this study.
Einleitung: Whiteboards können als ein Instrument des Lean Managements zur Steuerung der Verweildauer auf Stationen eingesetzt werden, um aktuelle Patienteninformationen zu bündeln und in regelmäßigen strukturierten sowie interdisziplinären Besprechungen die Patientenversorgung zu steuern, die interdisziplinäre Zusammenarbeit zu optimieren und das Entlassungsmanagement zu verbessern. Das Ziel dieser Studie bestand darin, zu untersuchen, inwiefern die Einführung von Whiteboards in zwei Kliniken mit einer Veränderung der Verweildauer einherging.
Methode: Um die Forschungsfrage zu beantworten, wurden retrospektive Zeitreihen aus den DRG-Routinedaten vor und nach Installation der Whiteboards aus den beiden Kliniken in einem Interrupted Time Series Design genutzt. In der einen Klinik (Chirurgie) lagen 3.734 Fälle für den Zeitraum von Januar 2018 bis Dezember 2019 und in der anderen Klinik (Innere Medizin) 54.049 Fälle für den Zeitraum Juli 2013 bis Dezember 2019 vor.
Ergebnisse: In dem gemittelten Vergleich der Verweildauer (relative Verweildauerabweichung pro DRG von dem jeweiligen Verweildauermittel) konnte in der ersten Klinik kein signifikanter Unterschied zwischen den Werten vor und nach Einführung des Boards festgestellt werden. Am zweiten Klinikum zeigte sich sogar im Vorher-Nachher-Vergleich eine signifikante Verschlechterung der Verweildauer. Eine deskriptive Zeitreihenanalyse vor und nach Einführung zeigte in beiden Kliniken, dass kurz nach der Einführung der Boards sich die Verweildauer verschlechterte, anschließend jedoch verbesserte, d.h. dass die Patienten durchschnittlich früher entlassen wurden. Dieser Unterschied ging jedoch im Zeitverlauf wieder zurück.
Diskussion: Zusammenfassend lässt sich festhalten, dass keine Verbesserung in der Verweildauer im Zuge der Nutzung der Whiteboards durch einen reinen Vorher-Nachher-Vergleich nachweisbar war. In der anschließenden Zeitreihenbetrachtung zeigten sich starke Schwankungen, die zunächst mit einer kurzzeitigen Verschlechterung der Verweildauer nach der Implementierung einhergingen und dann zu einer Verbesserung führten. Im Zeitverlauf verblasste der Unterschied jedoch, sodass die Patienten wieder später entlassen wurden. Methodisch zeigt sich, dass im Gegensatz zu der reinen Vorher-Nachher-Analyse erst eine Zeitreihenbetrachtung einen Einblick in das Geschehen und seine Variabilität lieferte. Für die Praxis ergeben sich folgende Implikationen: Whiteboards können als ein hilfreiches Instrument von Lean Management zur Verweildauersteuerung angesehen werden, wie die zwischenzeitlichen Verbesserungen nahelegen. Dies erfordert jedoch eine kontinuierliche, unter Einbezug der Mitarbeiter durchgeführte Pflege der Informationen und einen erkennbaren Mehrwert. Perspektivisch empfiehlt sich zudem eine Digitalisierung der Boards, um den Nachteilen wie der manuellen Pflege entgegenzuwirken.
Background:
Chronic health conditions are on the rise and are putting high economic pressure on health systems, as they require well-coordinated prevention and treatment. Among chronic conditions, chronic wounds such as cardiovascular leg ulcers have a high prevalence. Their treatment is highly interdisciplinary and regularly spans multiple care settings and organizations; this places particularly high demands on interoperable information exchange that can be achieved using international semantic standards, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT).
Objective:
This study aims to investigate the expressiveness of SNOMED CT in the domain of wound care, and thereby its clinical usefulness and the potential need for extensions.
Methods:
A clinically consented and profession-independent wound care item set, the German National Consensus for the Documentation of Leg Wounds (NKDUC), was mapped onto the precoordinated concepts of the international reference terminology SNOMED CT. Before the mapping took place, the NKDUC was transformed into an information model that served to systematically identify relevant items. The mapping process was carried out in accordance with the ISO/TR 12300 formalism. As a result, the reliability, equivalence, and coverage rate were determined for all NKDUC items and sections.
Results:
The developed information model revealed 268 items to be mapped. Conducted by 3 health care professionals, the mapping resulted in moderate reliability (κ=0.512). Regarding the two best equivalence categories (symmetrical equivalence of meaning), the coverage rate of SNOMED CT was 67.2% (180/268) overall and 64.3% (108/168) specifically for wounds. The sections general medical condition (55/66, 83%), wound assessment (18/24, 75%), and wound status (37/57, 65%), showed higher coverage rates compared with the sections therapy (45/73, 62%), wound diagnostics (8/14, 57%), and patient demographics (17/34, 50%).
Conclusions:
The results yielded acceptable reliability values for the mapping procedure. The overall coverage rate shows that two-thirds of the items could be mapped symmetrically, which is a substantial portion of the source item set. Some wound care sections, such as general medical conditions and wound assessment, were covered better than other sections (wound status, diagnostics, and therapy). These deficiencies can be mitigated either by postcoordination or by the inclusion of new concepts in SNOMED CT. This study contributes to pushing interoperability in the domain of wound care, thereby responding to the high demand for information exchange in this field. Overall, this study adds another puzzle piece to the general knowledge about SNOMED CT in terms of its clinical usefulness and its need for further extensions.
Objectives: This study aimed at the construction of what the core of eHealth policy making is, offering new perspectives about high priority procedures along the policy making process
Methods: Following Grounded Theory methodology, 59 qualitative telephone interviews with a broad variety of stakeholders from Austria, Switzerland and Germany were conducted
Results: The findings hinted at five priorities of eHealth policy making: strategy, consensus-building, decision-making, implementation and evaluation that emerged from the stakeholders’ perception of the eHealth policy. Hereby strategy, consensus-building and implementation gained the highest attention
Conclusions: These findings suggest three high priorities in eHealth policy: 1) developing and pursuing a consistent eHealth strategy, 2) investing time and resources into consensus-building to clear up difficulties early on in the process, 3) governing implementation towards serving patient care through systems fit for practice.
Public Interest Summary: Digitalisation is playing an increasingly crucial role in providing high quality health care. However, different countries have pursued different political paths. In this study, we wanted to know how the stakeholders perceived the political process in their country to identify strengths and weaknesses. We, therefore, conducted interviews about digital health policy with experts from Austria, Switzerland and Germany covering the full spectrum of stakeholders. The findings suggest three political musts: 1) a convincing and coherent strategy followed throughout the entire process, 2) consensus- building among the stakeholders, 3) using “fit for practice” as the yardstick to measure political success.
Hochschule und Universität Osnabrück haben mit regionalen Partnern (Stadt, Landkreis, Bistum, evangelisch-lutherischem Kirchenkreis, Kompetenzzentrum Gesundheitswirtschaft) die Grundsatzvereinbarung unterzeichnet, in Osnabrück einen Gesundheitscampus zu etablieren. Das Ziel ist, einen Ort zu schaffen, an dem Wissenschaft, Unternehmen der Gesundheitsversorgung, Träger von Gesundheitseinrichtungen und Politik zusammenkommen, um innovative Versorgungskonzepte für die Region zu erproben. „ROSE – das Lernende Gesundheitssystem in der Region Osnabrück-Emsland“ ist ein Großprojekt im Rahmen des Gesundheitscampus Osnabrück, das von dem Niedersächsischen Ministerium für Wissenschaft und Kultur (MWK) über 5 Jahre gefördert wird. Dabei wird das Prinzip des Lernens durch Feedback angewendet. Das bedeutet, dass durch Forschung in und mit der Praxis Evidenz im Sinne von practice-based evidence erzeugt wird, d.h. Evidenz für eine bessere Versorgungspraxis unter Berücksichtigung städtischer und ländlicher Strukturen. Dies hat zur Konsequenz, dass der Transferprozess zwischen Hochschule und Versorgungspraxis nicht am Ende sondern bereits am Anfang steht. Mit dem Ansatz einer wiederkehrenden Abfolge von Forschungsfragen und Analysen von Daten aus der Versorgungspraxis rekurriert ROSE auf das Prinzip des „Learning Health Care System“ (IOM, 2007). Im Rahmen von ROSE stimmen sich Hochschule und Universität Osnabrück ab, um die Ziele des Gesundheitscampus zu erreichen. Die geplante Umsetzung wird anhand eines Modells mit fünf Maßnahmen vorgestellt. Diese bauen auf der Vielfalt von bereits bestehenden Gesundheitsstudiengängen in Osnabrück auf und bringen Forschung, Nachwuchsförderung und Translation von Forschungsergebnissen zusammen.
Objective: To pilot benchmark measures of health information and communication technology (ICT) availability and use to facilitate cross-country learning.
Materials and Methods: A prior Organization for Economic Cooperation and Development–led effort involving 30 countries selected and defined functionality-based measures for availability and use of electronic health records, health information exchange, personal health records, and telehealth. In this pilot, an Organization for Economic Cooperation and Development Working Group compiled results for 38 countries for a subset of measures with broad coverage using new and/or adapted country-specific or multinational surveys and other sources from 2012 to 2015. We also synthesized country learnings to inform future benchmarking.
Results: While electronic records are widely used to store and manage patient information at the point of care—all but 2 pilot countries reported use by at least half of primary care physicians; many had rates above 75%—patient information exchange across organizations/settings is less common. Large variations in the availability and use of telehealth and personal health records also exist.
Discussion: Pilot participation demonstrated interest in cross-national benchmarking. Using the most comparable measures available to date, it showed substantial diversity in health ICT availability and use in all domains. The project also identified methodological considerations (e.g., structural and health systems issues that can affect measurement) important for future comparisons.
Conclusion: While health policies and priorities differ, many nations aim to increase access, quality, and/or efficiency of care through effective ICT use. By identifying variations and describing key contextual factors, benchmarking offers the potential to facilitate cross-national learning and accelerate the progress of individual countries.
Background: For more than 30 years, there has been close cooperation between Japanese and German scientists with regard to information systems in health care. Collaboration has been formalized by an agreement between the respective scientific associations. Following this agreement, two joint workshops took place to explore the similarities and differences of electronic health record systems (EHRS) against the background of the two national healthcare systems that share many commonalities.
Objectives: To establish a framework and requirements for the quality of EHRS that may also serve as a basis for comparing different EHRS.
Methods: Donabedian's three dimensions of quality of medical care were adapted to the outcome, process, and structural quality of EHRS and their management. These quality dimensions were proposed before the first workshop of EHRS experts and enriched during the discussions.
Results: The Quality Requirements Framework of EHRS (QRF-EHRS) was defined and complemented by requirements for high quality EHRS. The framework integrates three quality dimensions (outcome, process, and structural quality), three layers of information systems (processes and data, applications, and physical tools) and three dimensions of information management (strategic, tactical, and operational information management).
Conclusions: Describing and comparing the quality of EHRS is in fact a multidimensional problem as given by the QRF-EHRS framework. This framework will be utilized to compare Japanese and German EHRS, notably those that were presented at the second workshop.
Background: While health informatics recommendations on competencies and education serve as highly desirable corridors for designing curricula and courses, they cannot show how the content should be situated in a specific and local context. Therefore, global and local perspectives need to be reconciled in a common framework.
Objectives: The primary aim of this study is therefore to empirically define and validate a framework of globally accepted core competency areas in health informatics and to enrich this framework with exemplar information derived from local educational settings.
Methods: To this end, (i) a survey was deployed and yielded insights from 43 nursing experts from 21 countries worldwide to measure the relevance of the core competency areas, (ii) a workshop at the International Nursing Informatics Conference (NI2016) held in June 2016 to provide information about the validation and clustering of these areas and (iii) exemplar case studies were compiled to match these findings with the practice. The survey was designed based on a comprehensive compilation of competencies from the international literature in medical and health informatics.
Results: The resulting recommendation framework consists of 24 core competency areas in health informatics defined for five major nursing roles. These areas were clustered in the domains “data, information, knowledge”, “information exchange and information sharing”, “ethical and legal issues”, “systems life cycle management”, “management” and “biostatistics and medical technology”, all of which showed high reliability values. The core competency areas were ranked by relevance and validated by a different group of experts. Exemplar case studies from Brazil, Germany, New Zealand, Taiwan/China, United Kingdom (Scotland) and the United States of America expanded on the competencies described in the core competency areas.
Conclusions: This international recommendation framework for competencies in health informatics directed at nurses provides a grid of knowledge for teachers and learner alike that is instantiated with knowledge about informatics competencies, professional roles, priorities and practical, local experience. It also provides a methodology for developing frameworks for other professions/disciplines. Finally, this framework lays the foundation of cross-country learning in health informatics education for nurses and other health professionals.