Representativeness has been defined as the degree of similarity of a study population compared to an external population. To characterize a study population, both health-related and social or demographic features should be considered according to current guidelines. However, little guidance is given on how to describe social complexity of study populations when aiming to conclude on representativeness. We argue that sociological concepts should inform characterizations of study populations in order to increase credibility of conclusions on representativeness. The concept of intersectionality suggests to conceptualize social location as a combination of characteristics such as sex/gender and ethnicity instead of focusing on each feature independently. To contextualize advantages of integrating the concept of intersectionality when investigating representativeness, we reviewed publications that described the baseline population of selected epidemiological cohort studies. Information on the applied methods to characterize the study population was extracted, as well as reported social characteristics. Nearly all reviewed studies reported descriptive statistics of the baseline population and response proportions. In most publications, study populations were characterized according to place of residence, age and sex/gender while other social characteristics were reported irregularly. Differential patterns of representativeness were revealed in analyses that stratified social characteristics by sex/gender or age. Furthermore, the included studies did not explicitly state the theoretical approach that underlay their description of the study population. Intersectionality might be particularly fruitful when applied to descriptions of representativeness, because this concept provides an understanding of social location that has been developed based on situated experiences of people at the intersection of multiple axes of social power relations. An intersectional perspective, hence, contributes to approximate social complexity of study populations and might contribute to increase validity of conclusions on representativeness of population-based studies.
Zusammenfassung Im BMBF-geförderten Pflegepraxiszentrum Hannover werden in der Medizinischen Hochschule Hannover technische Produkte erprobt und eingeführt mit dem Ziel, Pflegefachpersonen zu entlasten und die Versorgung von Patientinnen und Patienten zu verbessern. Um Produkte auszuwählen, die auf die Bedürfnisse von Pflegefachpersonen zugeschnitten sind, wurde ein partizipatives Einführungskonzept entwickelt. Dieses Konzept und erste Erfahrungen werden in diesem Beitrag vorgestellt und diskutiert.
This work focuses the selection of technical solutions for professional nursing in a clinical setting. For a participatory approach the needs of the nursing staff are queried and analysed. Supplemented by data of patients a baseline for the selection of technical solutions is created.
Background New technologies, including robots, incidence detection or patient mobilization units, are increasingly assumed to support nurses in their routines while improving care quality. In the Nursing Care Centre Hanover study (funded by the German ministry of education and research), new technologies are implemented in a hospital ward and used by nurses in their routines. As part of this study, hospital patients were interviewed regarding the question: What are patients’ expectations for the implementation of new technology into care delivery? Methods Between August 2019 and February 2020, 17 semi-structured interviews were conducted with patients from the project ward. To stimulate a response, 8 presentation of technologies by video and text (3 per interview) were given during the interviews. Interviews were recorded, transcribed and coded by evaluative, qualitative content analysis. The coded material was then interpreted in light of the research question. Results Patients anticipate positive and negative effects of new technology concerning themselves, but they also expect effects on nurses: Health, safety and health service quality improvements might be positive effects for patients, but they are concerned about emerging threads to health by unintended consequences. They raise concerns about the possible inabilities of elder patients to use technology properly. Patients expect physical and emotional stress release for nurses when using technology, but they fear the replacement of nurses. This would have negative consequences for patients, like social isolation due to being cared for by machines. Conclusions Patients have ambivalent perceptions of new technologies in nursing care. They have a differentiated view of possible consequences, not merely for themselves but also for nurses. In general, they are positive about the implementation, but this must be carried out under certain conditions, so that technology is used in a supportive, but not replacing, manner. Key messages • The patients’ perspective must be take into account for the implementation of nursing technology to avoid negative, unintended consequences. • Inclusion and consideration of older patients and their technology skills can be a relevant factor for advancing the adoption of new technology into care delivery.
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