scholarly journals Preferences for everyday living inventory (PELI): study protocol for piloting a culture-sensitive and setting-specific translated instrument in German care settings (PELI-D)

BMJ Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. e030268
Author(s):  
Tobias Ingo Stacke ◽  
Johannes Michael Bergmann ◽  
Armin Michael Ströbel ◽  
René Müller-Widmer ◽  
Daniel Purwins ◽  
...  

IntroductionRegardless of the healthcare setting, person-centred care and its implementation in caring for older people are a central issue for those who are responsible as professional caregivers and for those in need of care within the care process. Both aspects encompass the possibility of recognising personal preferences. To provide person-centred care, professional caregivers need to know about the individual preferences of the persons being cared for. Therefore, the PELI (an acronym for ‘Preferences for Everyday Living Inventory’) instrument was developed at the Polisher Research Institute (USA) for the systematic recording of individual preferences of older people in need of care. There is currently no comparable instrument available in the German language.MethodsAs part of the proposed project PELI-D, all versions of the original PELI instrument (nursing home version) were (1) culture-sensitively translated into German and will be (2) examined in a pilot study for their reliability, feasibility and practicability. For the project PELI-D, we worked together with our practice partners in Germany (Diaconia and Caritas in North Rhine-Westphalia) and collaborated with our partners in the USA who developed the PELI instrument. This study protocol focuses on the pilot study, which will be conducted by the German Center for Neurodegenerative Diseases (DZNE) (site Witten).Ethics and disseminationThis study was approved by the internal quality control committee of the DZNE (ID number: WI029 PELI-D) and by the ethics committee of the German Society of Nursing Science Duisburg branch office (ID number: 18-010). All personal information will be deidentified with a specific identification code and stored in a secured location apart from the rest of the study data. Only qualified and study-related staff will be allowed access to the data. The results of the study will be distributed nationally and internationally through peer-reviewed journals, conferences and journals for nursing care practice.

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i12-i42
Author(s):  
C Yang ◽  
Z Hui ◽  
S Zhu ◽  
X Wang ◽  
G Tang ◽  
...  

Abstract Introduction Medication self-management support has been recognised as an essential element in primary health care to promote medication adherence and health outcomes for older people with chronic conditions. A patient-centred intervention empowering patients and supporting medication self-management activities could benefit older people. This pilot study tested a newly developed medication self-management intervention for improving medication adherence among older people with multimorbidity. Method This was a two-arm randomised controlled trial. Older people with multimorbidity were recruited from a community healthcare centre in Changsha, China. Participants were randomly allocated to either a control group receiving usual care (n = 14), or to an intervention group receiving three face-to-face medication self-management sessions and two follow-up phone calls over six weeks, targeting behavioural determinants of adherence from the Information-Motivation-Behavioural skills model (n = 14). Feasibility was assessed through recruitment and retention rates, outcome measures collection, and intervention implementation. Follow-up data were measured at six weeks after baseline using patient-reported outcomes including medication adherence, medication self-management capabilities, treatment experiences, and quality of life. Preliminary effectiveness of the intervention was explored using generalised estimating equations. Results Of the 72 approached participants, 28 (38.89%) were eligible for study participation. In the intervention group, 13 participants (92.86%) completed follow-up and 10 (71.42%) completed all intervention sessions. Ten participants (71.42%) in the control group completed follow-up. The intervention was found to be acceptable by participants and the intervention nurse. Comparing with the control group, participants in the intervention group showed significant improvements in medication adherence (β = 0.26, 95%CI 0.12, 0.40, P < 0.001), medication knowledge (β = 4.43, 95%CI 1.11, 7.75, P = 0.009), and perceived necessity of medications (β = −2.84, 95%CI -5.67, −0.01, P = 0.049) at follow-up. Conclusions The nurse-led medication self-management intervention is feasible and acceptable among older people with multimorbidity. Preliminary results showed that the intervention may improve patients’ medication knowledge and beliefs and thus lead to improved adherence.


Trials ◽  
2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Peter Nymberg ◽  
Eva Ekvall Hansson ◽  
Emelie Stenman ◽  
Susanna Calling ◽  
Kristina Sundquist ◽  
...  

2008 ◽  
Vol 119 (5) ◽  
pp. 1158-1165 ◽  
Author(s):  
Emilie M. Simoneau ◽  
Maxime Billot ◽  
Alain Martin ◽  
Dominic Perennou ◽  
Jacques Van Hoecke

2019 ◽  
Vol 13 ◽  
pp. 100315 ◽  
Author(s):  
Christina Gallinat ◽  
Markus Moessner ◽  
Holger A. Haenssle ◽  
Julia K. Winkler ◽  
Matthias Backenstrass ◽  
...  

2014 ◽  
Vol 83 (3) ◽  
pp. 238-243
Author(s):  
Karolina Kilińska ◽  
Magdalena Cerbin-Koczorowska ◽  
Arleta Matschay ◽  
Michał Mierzwicki ◽  
Karolina Chmaj-Wierzchowska

Aim. The aim of the pilot study was to assess the effectiveness of the tool designed for detecting potential drug-drug interactions of combined oral contraceptives (COCs) with particular emphasis on those which can affect their contraceptive action. A proper study protocol design seems to be essential for further analysis of more data and for establishing correlations between observed interactions and demographic variables.Material and methods. The cross-sectional descriptive, retrospective study was carried out on Polish females from March to May 2013. Gathered data, including products used concomitantly with contraceptive drugs, were derived electronically by patients and underwent thematic analysis.Results. Out of 49 respondents who agreed to participate in the study and fit the inclusion criteria only 15 derived qualitative data about other medicinal products they used. However, some of them sent their monthly report more than once, which gave the total of 158 drugs listed in 25 forms gathered during the whole pilot study. Fifty-three potential drug interactions were found, including 13 (24.53%) which could have decreased the effectiveness of contraceptive drugs.Conclusions. Continuation of the study in accordance with the study protocol will result in identification of common potential drug-related problems, which may enable development of an educational solution for gynecologists, pharmacists and patients increasing their awareness of the potential risk of contraceptive failures and unintended pregnancies.


2021 ◽  
Vol 30 (01) ◽  
pp. 280-282
Author(s):  
Gayo Diallo ◽  
Georgeta Bordea ◽  

Summary Objectives: To introduce and analyse current trends in Public Health and Epidemiology Informatics. Methods: PubMed search of 2020 literature on public health and epidemiology informatics was conducted and all retrieved references were reviewed by the two section editors. Then, 15 candidate best papers were selected among the 920 references. These papers were then peer-reviewed by the two section editors, two chief editors, and external reviewers, including at least two senior faculty, to allow the Editorial Committee of the 2021 International Medical Informatics Association (IMIA) Yearbook to make an informed decision regarding the selection of the best papers. Results: Among the 920 references retrieved from PubMed, four were suggested as best papers and the first three were finally selected. The fourth paper was excluded because of reproducibility issues. The first best paper is a very public health focused paper with health informatics and biostatistics methods applied to stratify patients within a cohort in order to identify those at risk of suicide; the second paper describes the use of a randomized design to test the likely impact of fear-based messages, with and without empowering self-management elements, on patient consultations or antibiotic requests for influenza-like illnesses. The third selected paper evaluates the perception among communities of routine use of Whole Genome Sequencing and Big Data technologies to capture more detailed and specific personal information. Conclusions: The findings from the three studies suggest that using Public Health and Epidemiology Informatics methods could leverage, when combined with Deep Learning, early interventions and appropriate treatments to mitigate suicide risk. Further, they also demonstrate that well informing and empowering patients could help them to be involved more in their care process.


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