Danube University Krems

About: Danube University Krems is a education organization based out in Krems, Niederösterreich, Austria. It is known for research contribution in the topics: Stroke & Population. The organization has 498 authors who have published 1572 publications receiving 68797 citations.

TYDR - Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data

Abstract: We present the Android app TYDR (Track Your Daily Routine) which tracks smartphone sensor and usage data and utilizes standardized psychometric personality questionnaires. With the app, we aim at collecting data for researching correlations between the tracked smartphone data and the user's personality in order to predict personality from smartphone data. In this paper, we highlight our approaches in addressing the challenges in developing such an app. We optimize the tracking of sensor data by assessing the trade-off of size of data and battery consumption and granularity of the stored information. Our user interface is designed to incentivize users to install the app and fill out questionnaires. TYDR processes and visualizes the tracked sensor and usage data as well as the results of the personality questionnaires. When developing an app that will be used in psychological studies, requirements posed by ethics commissions / institutional review boards and data protection officials have to be met. We detail our approaches concerning those requirements regarding the anonymized storing of user data, informing the users about the data collection, and enabling an opt-out option. We present our process for anonymized data storing while still being able to identify individual users who successfully completed a psychological study with the app.

Identifying and prioritising systematic review topics with public health stakeholders: A protocol for a modified Delphi study in Switzerland to inform future research agendas.

Abstract: Introduction The Cochrane Collaboration aims to produce relevant and top priority evidence that responds to existing evidence gaps. Hence, research priority setting (RPS) is important to identify which potential research gaps are deemed most important. Moreover, RPS supports future health research to conform both health and health evidence needs. However, studies that are prioritising systematic review topics in public health are surprisingly rare. Therefore, to inform the research agenda of Cochrane Public Health Europe (CPHE), we introduce the protocol of a priority setting study on systematic review topics in several European countries, which is conceptualised as pilot. Methods and analysis We will conduct a two-round modified Delphi study in Switzerland, incorporating an anonymous web-based questionnaire, to assess which topics should be prioritised for systematic reviews in public health. In the first Delphi round public health stakeholders will suggest relevant assessment criteria and potential priority topics. In the second Delphi round the participants indicate their (dis)agreement to the aggregated results of the first round and rate the potential review topics with the predetermined criteria on a four-point Likert scale. As we invite a wide variety of stakeholders we will compare the results between the different stakeholder groups. Ethics and dissemination We have received ethical approval from the ethical board of the University of Bremen, Germany (principal investigation is conducted at the University of Bremen) and a certificate of non-objection from the Canton of Zurich, Switzerland (fieldwork will be conducted in Switzerland). The results of this study will be further disseminated through peer reviewed publication and will support systematic review author groups (i.a. CPHE) to improve the relevance of the groups´ future review work. Finally, the proposed priority setting study can be used as a framework by other systematic review groups when conducting a priority setting study in a different context.

Search, Filter, Fork, and Link Open Data: The ADEQUATe platform: data- and community-driven quality improvements

Abstract: The present work describes the ADEQUATe platform: a framework to monitor the quality of (Governmental) Open Data catalogs, to re-publish improved and linked versions of the datasets and their respective metadata descriptions, and to include the community in the quality improvement process. The information acquired by the linking and (meta)data improvement steps is then integrated in a semantic search engine. In the paper, we first describe the requirements of the platform, which are based on focus group interviews and a web-based survey. Second, we use these requirements to formulate the goals and show the architecture of the overall platform, and third, we showcase the potential and relevance of the platform to resolve the requirements by describing exemplary user journeys exploring the system. The platform is available at: https://www.adequate.at/

Psychometric Testing of the German Versions of Three Implementation Outcome Measures

Abstract: Internationally comparable assessments of implementation outcomes are a prerequisite for the accurate and useful exchange of implementation science results. We translated the English versions of the acceptability of intervention measure (AIM), the intervention appropriateness measure (IAM), and the feasibility of intervention measure (FIM) into German following recent guidelines. We tested the structural validity, the internal consistency (Cronbach’s α), and the construct validity (known-groups validity) in a hypothetical situation study of secondary school teachers (n1 = 142) and the structural validity and the internal consistency in a pilot field study of primary school teachers participating in a school health promotion project (n2 = 61). The hypothesized three-factor solution (acceptability, appropriateness, and feasibility) revealed the best model fit in the hypothetical situation study (CFI = 0.97; RMSEA = 0.08). The second study tended to support these results (CFI = 0.99; RMSEA = 0.05) only when the error terms of two items from different constructs were allowed to correlate with each other (“seems like a good match” [IAM] and “seems possible” [FIM]). Furthermore, the intercorrelations between the three factors were higher in the pilot field study than in the hypothetical vignette study (0.71–0.86 vs. 0.06–0.35). The instruments’ internal consistency proved to be high in both studies (Cronbach’s α: 0.91–0.97). We gathered positive evidence for the known-groups validity, as participants who received different stimuli before answering the instruments rated them statistically significantly different. Our study showed that the German versions of the instruments could successfully be applied in health promotion research. We suggest using the four items per instrument rather than an abbreviated version and discuss recommendations for the instruments’ application.

Information Technology Governance Institutionalization and the Behavior of Individuals in the Context of Public Organizations

Abstract: This study aims to verify the effects of IT governance (ITG) institutionalization on civil servants’ behavior. The general assumption is that ITG institutionalization exerts a positive effect on behavior, provided the ITG legitimation process enhances the perception of organizational justice since transparency and equity increases. Organizational citizenship behavior (OCB) was used to understand individuals’ behavior, which describes individuals’ voluntary commitment in organizations that is not necessarily part of their contractual tasks but is essential to reach the organizational goals. In order to achieve the objective, a multi-method study was developed and operationalized in the context of a diverse range of public organizations in Rio Grande do Sul State Government in Brazil. A theoretical-empirical model was created based on literature, focus group, and interviews. A descriptive-confirmative study was operationalized through a survey with 173 Brazilian civil servants. A questionnaire was developed and validated. All hypotheses were confirmed through a partial least squares structural equation modeling (PLS-SEM) data analysis. The main theoretical contribution is the development of an ITG framework and the demonstration of a positive and significant relationship with the OCB construct. The main finding is that individual behavioral changes are encouraged by ITG institutionalization.