Why Won’t Antibiotics Be Used? Developing Tools for Education and Communication Concerning Suspected UTI in Long Term Care (LTC). A Project of the Colorado Long Term Care Research Partnership

2018 ◽  
Vol 19 (3) ◽  
pp. B23
Author(s):  
Jo Trojanowski ◽  
Leslie Eber ◽  
J. Trojanowski ◽  
L.B. Eber ◽  
C. Drake ◽  
...  
2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S802-S803
Author(s):  
Barbara Hanratty ◽  
Rachel Stocker ◽  
Katie Brittain

Abstract Patients and the public are involved in health and social care research more than ever before. Much effort has been put into developing patient and public involvement (PPI), and promoting co-production of research with patients and the public. Yet there is little guidance for researchers on how to involve PPI partners in the research process, or how involvement can be judged as meaningful. This presentation has its origins in the attempts of one research team to question and navigate a way of involving PPI in long term care research. In this presentation, we describe our model of collaborative qualitative data analysis with PPI partners, in a study exploring primary care services for older adults living in long-term care facilities in England. Anonymised interview transcript excerpts were presented in written, audio, and role-play format to our PPI partners. PPI partners derived meaning from interview data, identifying, confirming and critiquing emerging themes. Their input at this critical stage of the study deepened our initial analysis and prompted the research team to new and different interpretations of the data. This talk addresses ways of engaging PPI partners in innovative ways during data analysis, and offers other researchers some questions, challenges and potential principles for effective practice. We conclude that in areas such as long term care, with multiple stakeholders and a dynamic environment, effective PPI may be flexible, messy and difficult to define.


2011 ◽  
Vol 26 (5) ◽  
pp. 722-733 ◽  
Author(s):  
Gwenda Albers ◽  
Richard Harding ◽  
H Roeline W Pasman ◽  
Bregje D Onwuteaka-Philipsen ◽  
Sue Hall ◽  
...  

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Stephanie A. Chamberlain ◽  
Carole A. Estabrooks ◽  
Janice M. Keefe ◽  
Matthias Hoben ◽  
Charlotte Berendonk ◽  
...  

2018 ◽  
Vol 9 (4) ◽  
pp. 118-125
Author(s):  
Liang-Yu Chen ◽  
Ming-Hsien Lin ◽  
Li-Ning Peng ◽  
Liang-Kung Chen

2019 ◽  
Author(s):  
Johannes Michael Bergmann ◽  
Armin Michael Ströbel ◽  
Bernhard Holle ◽  
Rebecca Palm

Abstract Background Organizational health care research focuses on describing structures and processes in organizations and investigating their impact on the quality of health care. In the setting of residential long-term care, this effort includes the examination and description of structural differences among the organizations (e.g., nursing homes). The objective of the analysis is to develop an empirical typology of living units in nursing homes that differ in their structural characteristics. Methods Data from the DemenzMonitor Study were used. The DemenzMonitor is an observational study carried out in a convenience sample of 103 living units in 51 nursing homes spread over 11 German federal states. Characteristics of living units were measured by 19 variables related to staffing, work organization, building characteristics and meal preparation. Multiple correspondence analysis (MCA) and agglomerative hierarchical cluster analysis (AHC) are suitable to create a typology of living units. Both methods are multivariate and explorative. We present a comparison with a previous typology (created by a nonexplorative and nonmultivariate process) of the living units derived from the same data set. Results The MCA revealed differences among the living units, which are defined in particular by the size of the living unit (number of beds), the additional qualifications of the head nurse, the living concept and the presence of additional financing through a separate benefit agreement. Three clusters could be identified; these clusters occur significantly with a certain combination of characteristics. In terms of content, the three clusters can be defined as "house community", "dementia special care units” and "usual care". Conclusion The typology of living units allows to identify more suitable outcomes and to develop more tailor-made interventions. Furthermore, the development of a typology is useful to gain a deeper understanding of the differences in the care structures of residential long-term care organizations. The intended theory development on the subject of different types of living units and the subsequent definition of these units will enable the long-term evaluation of their influence in further health care research.


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