Introduction: End-of-life care is an essential task performed by most healthcare providers and often involves decision-making about how and where patients want to receive care. To provide decision support to healthcare professionals and patients in this difficult situation, we will systematically review a knowledge cluster of the end-of-life care preferences of older patients with multimorbidity that we previously identified using an evidence map.
Methods And Analysis: We will systematically search for studies reporting end-of-life care preferences of older patients (mean age ≥60) with multimorbidity (≥2 chronic conditions) in MEDLINE, CINAHL, PsycINFO, Social Sciences Citation Index, Social Sciences Citation Index Expanded, PSYNDEX and The Cochrane Library from inception to September 2019. We will include all primary studies that use quantitative, qualitative and mixed methodologies, irrespective of publication date and language.Two independent reviewers will assess eligibility, extract data and describe evidence in terms of study/population characteristics, preference assessment method and end-of-life care elements that matter to patients (eg, life-sustaining treatments). Risk of bias/applicability of results will be independently assessed by two reviewers using the Mixed-Methods Appraisal Tool. Using a convergent integrated approach on qualitative/quantitative studies, we will synthesise information narratively and, wherever possible, quantitatively.
Ethics And Dissemination: Due to the nature of the proposed systematic review, ethics approval is not required. Results from our research will be disseminated at relevant (inter-)national conferences and via publication in peer-reviewed journals. Synthesising evidence on end-of-life care preferences of older patients with multimorbidity will improve shared decision-making and satisfaction in this final period of life.
Prospero Registration Number: CRD42020151862.
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http://dx.doi.org/10.1136/bmjopen-2020-038682 | DOI Listing |
Am J Hosp Palliat Care
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Main Regional Center for Pain Relief and Supportive/Palliative Care, La Maddalena Cancer Center, Palermo, Italy.
In Italy a recent law was approved for providing patients' wishes regarding end of life issues, commonly referred internationally to as "living wills", (Dichiarazione anticipata di trattamento, DAT). Regardless of this official document, advance care planning (ACP) is often used in a palliative care setting to share the treatments to start, to continue, to withdraw, thus preventing the stress on an acute decision. The aim of this study was to assess DAT and ACP in patients with amyotropic lateral sclerosis admitted to home palliative care.
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January 2025
Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.
Med Care
February 2025
Fogelman College of Business and Economics, The University of Memphis, Memphis, TN.
Objective: Mobile health applications (mHealth apps) can provide health care and health-promoting information while contributing to improving cancer survivors' quality of life and health outcomes. However, little is known about the rural-urban distribution of mHealth app ownership and utilization. In this study, we explore the characteristics of cancer survivors who own and use mHealth apps and examine rural-urban disparities in mHealth app ownership and utilization among cancer survivors.
View Article and Find Full Text PDFCochrane Database Syst Rev
January 2025
Neonatal Intensive Care Unit, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
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View Article and Find Full Text PDFJ Am Heart Assoc
January 2025
Division of Cardiovascular Science, Faculty of Biology, Medicine and Health The University of Manchester Manchester UK.
Background: Heart failure with preserved ejection fraction (HFpEF) is linked to prolonged endoplasmic reticulum (ER) stress. P21-activated kinase 2 (Pak2) facilitates a protective ER stress response. This study explores the mechanism and role of Pak2 in HFpEF pathology.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!