Objectives: Our study aimed to describe "how" and "why" the person-centered care (PCC) approach was applied within a long-term care (LTC) community to manage responsive behaviors (RBs) in individuals with major neurocognitive disorders.
Methods: A descriptive holistic single case study design was employed in the context of an LTC community in Quebec, using semi-structured interviews and non-participatory observations of experienced care providers working with clients with RBs, photographing the physical environment, and accessing documents available on the LTC community's public website. A thematic content analysis was used for data analysis.
Results: The findings generated insight into the importance of considering multiple components of the LTC community to apply the PCC approach for managing RBs, including a) creating a homelike environment, b) developing a therapeutic relationship with clients, c) engaging clients in meaningful activities, and d) empowering care providers by offering essential resources.
Conclusions: Applying and implementing the PCC approach within an LTC community to manage clients' RBs is a long-term multi-dimensional process that requires a solid foundation.
Clinical Implications: These findings highlight the importance of considering multiple factors relevant to persons, environments, and meaningful activities to apply the PCC approach within LTC communities to manage RBs.
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http://dx.doi.org/10.1080/07317115.2022.2162468 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Cancer Biology & Genetics Program, Sloan Kettering Institute, New York, NY 10065.
Malignant peripheral nerve sheath tumors (MPNSTs) are aggressive sarcomas and the primary cause of mortality in patients with neurofibromatosis type 1 (NF1). These malignancies develop within preexisting benign lesions called plexiform neurofibromas (PNs). PNs are solely driven by biallelic loss eliciting RAS pathway activation, and they respond favorably to MEK inhibitor therapy.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Statistics, University of Manitoba, Winnipeg, Manitoba, Canada.
Objective: Many individuals exposed to SARS-CoV-2 experience long-term symptoms as part of a syndrome called post-COVID condition (PCC). Research on PCC is still emerging but is urgently needed to support diagnosis, clinical treatment guidelines and health system resource allocation. In this study, we developed a method to identify PCC cases using administrative health data and report PCC prevalence and predictive factors in Manitoba, Canada.
View Article and Find Full Text PDFBackground: Low‐resource residential long‐term care (LTC) settings, including settings located in medically underserved and health professional shortage communities, have fewer environmental resources to support high‐quality, robust data collection and use of measures to support person‐centered dementia care (PCC). Further, such settings are more likely to serve older adults from populations that have experienced historic harms related to misuse of personal data, including low‐income and minoritized populations. Design thinking engages community‐members to understand a problem from the end‐user’s perspective (empathize and define), brainstorm new solutions (ideate), and develop proposed solutions (prototype and test).
View Article and Find Full Text PDFJ Surg (Lisle)
November 2024
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Purpose: Appropriate opioid management is crucial to reduce opioid overdose risk for ICU surgical patients, which can lead to severe complications. Accurately predicting postoperative opioid needs and understanding the associated factors can effectively guide appropriate opioid use, significantly enhancing patient safety and recovery outcomes. Although machine learning models can accurately predict postoperative opioid needs, lacking interpretability hinders their adoption in clinical practice.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Nursing, College of Health science, Ambo University, Ambo, Ethiopia.
Objective: To assess the determinants of knowledge of preconception care (PCC) among healthcare providers in Ethiopia.
Design: Systematic review and meta-analysis.
Data Source: Comprehensive literature searches were conducted in PubMed, Scopus and Health Internetwork Access to Research Initiative (HINARI) published until 20 March 2024.
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