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Institute
- Fakultät III - Medien, Information und Design (185) (remove)
Background
The eResearch system “Prospective Monitoring and Management App (PIA)” allows researchers to implement questionnaires on any topic and to manage biosamples. Currently, we use PIA in the longitudinal study ZIFCO (Integrated DZIF Infection Cohort within the German National Cohort) in Hannover (Germany) to investigate e.g. associations of risk factors and infectious diseases. Our aim was to assess user acceptance and compliance to determine suitability of PIA for epidemiological research on transient infectious diseases.
Methods
ZIFCO participants used PIA to answer weekly questionnaires on health status and report spontaneous onset of symptoms. In case of symptoms of a respiratory infection, the app requested participants to self-sample a nasal swab for viral analysis. To assess user acceptance, we implemented the System Usability Scale (SUS) and fitted a linear regression model on the resulting score. For investigation of compliance with submitting the weekly health questionnaires, we used a logistic regression model with binomial response.
Results
We analyzed data of 313 participants (median age 52.5 years, 52.4% women). An average SUS of 72.0 reveals good acceptance of PIA. Participants with a higher technology readiness score at the beginning of study participation also reported higher user acceptance. Overall compliance with submitting the weekly health questionnaires showed a median of 55.7%. Being female, of younger age and being enrolled for a longer time decreased the odds to respond. However, women over 60 had a higher chance to respond than women under 60, while men under 40 had the highest chance to respond. Compliance with nasal swab self-sampling was 77.2%.
Discussion
Our findings show that PIA is suitable for the use in epidemiologic studies with regular short questionnaires. Still, we will focus on user engagement and gamification for the further development of PIA to help incentivize regular and long-term participation.
For the introduction of technical nursing care innovations, a usability assessment survey is conducted by nursing staff. The questionnaire is used before and after the introduction of technical products. This poster contribution shows the latest comparison of pre- and post-surveys on selected products.
Das Gesundheitsdatennutzungsgesetz – Potenzial für eine bessere Forschung und Gesundheitsversorgung
(2023)
Im Koalitionsvertrag der Ampel-Koalition wird für die laufende Legislaturperiode ein Gesundheitsdatennutzungsgesetz (GDNG) angekündigt. Dieses Gesetz soll „zu einer besseren wissenschaftlichen Nutzung in Einklang mit der DSGVO“ führen. Bekanntermaßen steht unser Gesundheitssystem vor großen Herausforderungen (Demografie, Digitalisierung, Fachkräftemangel, Klimakrise, regionale Unterschiede, etc.) und ist jetzt schon das teuerste in Europa bei mittelmäßiger Leistung. Diese Herausforderungen können effizienter und evidenzgeleitet bewältigt werden, wenn wie im geplanten GDNG angedacht, die Datenressourcen für die Evaluierung und Weiterentwicklung des Gesundheitssystems und der Gesundheitsversorgung optimal genutzt werden. In den folgenden Ausführungen werden aus Sicht von Versorgungsforscher*innen Voraussetzungen und Desiderata für eine optimale Ausgestaltung des Gesetzes formuliert. Das Papier wurde durch das Deutsche Netzwerk Versorgungsforschung (DNVF) und die Arbeitsgruppe Erhebung und Nutzung von Sekundärdaten (AGENS) der Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP) und der Deutschen Gesellschaft für Epidemiologie (DGEpi) erstellt und wird von den unterzeichnenden Fachgesellschaften getragen. Das vorliegende Positionspapier und die hier aufgestellten Forderungen sind vor der Veröffentlichung und damit in Unkenntnis des Referentenentwurfs zum GDNG formuliert worden.
Forschungsdatenzentrum Gesundheit – Vision für eine Weiterentwicklung aus Sicht der Forschung
(2023)
Das Forschungsdatenzentrum (FDZ) Gesundheit nach der Datentransparenzverordnung (DaTraV), angesiedelt am Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM) wird Routinedaten der Gesetzlichen Krankenversicherung für die Forschung bereitstellen. Die Bereitstellung der Daten von knapp 90% der Bevölkerung in Deutschland dient dem übergeordneten Ziel, die gesundheitliche Versorgung im Hinblick auf Unter-, Über- und Fehlversorgung zu evaluieren und daraus Handlungsempfehlungen für eine evidenzbasierte Gesundheitsversorgung abzuleiten. Der gesetzliche Rahmen wird im Sozialgesetzbuch (§§ 303a-f SBG V) und zwei dazu gehörigen Verordnungen gesteckt, lässt jedoch hinreichend großen Spielraum für die Ausgestaltung auf der Organisations- und Arbeitsebene. Hier setzt das vorliegende Papier an. Aus Forscher*innensicht wurden zehn Statements für eine Weiterentwicklung formuliert, die das Potential eines Forschungsdatenzentrums aufzeigen und Ideen für die weitere zukunftsfähige Ausgestaltung und Entwicklung mit Bestandskraft darlegen.
Catalogs of competency-based learning objectives (CLO) were introduced and promoted as a prerequisite for high-quality, systematic curriculum development. While this is common in medicine, the consistent use of CLO is not yet well established in epidemiology, biometry, medical informatics, biomedical informatics, and nursing informatics especially in Germany. This paper aims to identify underlying obstacles and give recommendations in order to promote the dissemination of CLO for curricular development in health data and information sciences. To determine these obstacles and recommendations a public online expert workshop was organized. This paper summarizes the findings.
Appropriate data models are essential for the systematic collection, aggregation, and integration of health data and for subsequent analysis. However, recommendations for modeling health data are often not publicly available within specific projects. Therefore, the project Zukunftslabor Gesundheit investigates recommendations for modeling. Expert interviews with five experts were conducted and analyzed using qualitative content analysis. Based on the condensed categories “governance”, “modeling” and “standards”, the project team generated eight hypotheses for recommendations on health data modeling. In addition, relevant framework conditions such as different roles, international cooperation, education/training and political influence were identified. Although emerging from interviewing a small convenience sample of experts, the results help to plan more extensive data collections and to create recommendations for health data modeling.
Purpose
This study aims to determine the intention to use hospital report cards (HRCs) for hospital referral purposes in the presence or absence of patient-reported outcomes (PROs) as well as to explore the relevance of publicly available hospital performance information from the perspective of referring physicians.
Methods
We identified the most relevant information for hospital referral purposes based on a literature review and qualitative research. Primary survey data were collected (May–June 2021) on a sample of 591 referring orthopedists in Germany and analyzed using structural equation modeling. Participating orthopedists were recruited using a sequential mixed-mode strategy and randomly allocated to work with HRCs in the presence (intervention) or absence (control) of PROs.
Results
Overall, 420 orthopedists (mean age 53.48, SD 8.04) were included in the analysis. The presence of PROs on HRCs was not associated with an increased intention to use HRCs (p = 0.316). Performance expectancy was shown to be the most important determinant for using HRCs (path coefficient: 0.387, p < .001). However, referring physicians have doubts as to whether HRCs can help them. We identified “complication rate” and “the number of cases treated” as most important for the hospital referral decision making; PROs were rated slightly less important.
Conclusions
This study underpins the purpose of HRCs, namely to support referring physicians in searching for a hospital. Nevertheless, only a minority would support the use of HRCs for the next hospital search in its current form. We showed that presenting relevant information on HRCs did not increase their use intention.
Purpose: The calculation of aggregated composite measures is a widely used strategy to reduce the amount of data on hospital report cards. Therefore, this study aims to elicit and compare preferences of both patients as well as referring physicians regarding publicly available hospital quality information.
Methods: Based on systematic literature reviews as well as qualitative analysis, two discrete choice experiments (DCEs) were applied to elicit patients’ and referring physicians’ preferences. The DCEs were conducted using a fractional factorial design. Statistical data analysis was performed using multinomial logit models.
Results: Apart from five identical attributes, one specific attribute was identified for each study group, respectively. Overall, 322 patients (mean age 68.99) and 187 referring physicians (mean age 53.60) were included. Our models displayed significant coefficients for all attributes (p < 0.001 each). Among patients, “Postoperative complication rate” (20.6%; level range of 1.164) was rated highest, followed by “Mobility at hospital discharge” (19.9%; level range of 1.127), and ‘‘The number of cases treated” (18.5%; level range of 1.045). In contrast, referring physicians valued most the ‘‘One-year revision surgery rate’’ (30.4%; level range of 1.989), followed by “The number of cases treated” (21.0%; level range of 1.372), and “Postoperative complication rate” (17.2%; level range of 1.123).
Conclusion: We determined considerable differences between both study groups when calculating the relative value of publicly available hospital quality information. This may have an impact when calculating aggregated composite measures based on consumer-based weighting.
Im Bachelorstudiengang Informationsmanagement – berufsbegleitend der HS Hannover werden seit zehn Jahren Fachangestellte für Medien- und Informationsdienste (FaMIs) für höhere Aufgaben im Bibliotheksbereich qualifiziert. Die Studierenden sind in öffentlichen oder wissenschaftlichen Bibliotheken tätig. Zum Studium gelangen sie entweder mit schulischer Zugangsberechtigung oder über den Weg der Offenen Hochschule Niedersachsen (FaMI-Ausbildung + mindestens dreijährige einschlägige Berufserfahrung). Anlässlich einer bevorstehenden Studienreform wurden die 125 Alumni der ersten sieben Jahrgänge im Februar 2023 in einer Onlinebefragung zu ihrem weiteren beruflichen Werdegang und ihrer retrospektiven Einschätzung des Studiums befragt (Rücklaufquote 93%). Die Ergebnisse zeigen eine sehr große Zufriedenheit mit Studium und beruflicher Entwicklung. Sie liefern zudem Anhaltspunkte für eine Ergänzung bzw. Vertiefung des Curriculums um Themen wie Personalmanagement und Open Science. Die 116 Antwortenden machten zudem deutlich, dass sie zwar als qualifizierte Fachkräfte auf dem Arbeitsmarkt willkommen sind, aber während des Studiums nicht genug Unterstützung von ihren Arbeitgebern bekommen haben. Ein Drittel von ihnen wechselte spätestens nach dem Studium die Einrichtung.