Background: Advance care planning (ACP) conversations may result in preferences for medical care being documented.
Objective: To explore the uptake and quality of advance care directives (ACDs) among older Australians accessing health and aged care services, by overall ACP documentation prevalence, person-level predictors and ACD quality indicators.
Design And Setting: National multi-centre health record audit in general practices (GP), hospitals and residential aged care facilities (RACF).
Participants: A total of 4187 people aged ≥65 years attending their GP (n = 676), admitted to hospital (n = 1122) or residing in a RACF (n = 2389).
Main Outcome Measures: ACP documentation prevalence by setting and type including person-completed ACDs and non-ACD documents (completed by a health professional or someone else); person-level predictors and quality indicators of ACDs.
Results: Overall ACP documentation prevalence was 46.5% (29.2% weighted). ACD prevalence was 25.3% (14.2% weighted). Unweighted ACD prevalence was higher in RACFs (37.7%) than in hospitals (11.1%) and GPs (5.5%). 35.8% of ACP documentation was completed by a health professional (9.7% weighted), and 18.1% was completed by someone else (10.6% weighted). Having an ACD was positively associated with being female, older, having two or more medical conditions, receiving palliative care, being divorced/separated and being in a RACF. Only 73% of ACDs included full name, signature, document date and witnessing.
Conclusions And Contribution: Low ACP documentation prevalence and a lack of accessible, person-completed and quality ACDs represent an important ACP implementation issue. Low prevalence is complicated by poor document quality and a higher prevalence of documents being completed by someone other than the person.
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http://dx.doi.org/10.1111/hex.13264 | DOI Listing |
J Hosp Palliat Care
December 2024
Department of Family Medicine, Dongguk University Ilsan Hospital, Goyang-si and Department of Medicine, College of Medicine, Dongguk University, Seoul, Korea.
Advance care planning (ACP) in palliative care is essential for patient autonomy and quality of dying. This review explores ACP practices in South Korea, Japan, and Taiwan, highlighting how legislation and cultural values shape those practices. In these three sectors, which are influenced by Confucian values, family involvement plays a significant role in decision-making.
View Article and Find Full Text PDFImportance: Primary care is a key setting for advance care planning (ACP).
Objective: To test the effects of a multicomponent primary care-based ACP intervention (SHARING Choices) on documented end-of-life preferences and potentially burdensome care at end of life.
Design, Setting, And Participants: This pragmatic cluster randomized clinical trial in primary care practices from 2 health systems was conducted between March 2021 and April 2022.
Jpn J Nurs Sci
January 2025
Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan.
Aim: This study aimed to analyze the concept of advance care planning (ACP) for patients with chronic obstructive pulmonary disease (COPD), by systematically clarifying the attributes, antecedents, consequences, surrogate terms, related concepts, and historical transition of the concept.
Methods: Following Rodgers' method of concept analysis, the academic development of concepts related to ACP for patients with COPD, as well as changes in the concept over time, is comprehensively organized and described. A search formula for relevant literature was created using the two keywords "chronic obstructive pulmonary disease" and "advance care planning".
J Pain Symptom Manage
November 2024
Harvard Medical School (N.A., C.M., J.T., C.L.), Boston, Massachusetts, USA; Dana-Farber Cancer Institute (N.A., C.M., J.T., C.L.), Boston, Massachusetts, USA; Brigham and Women's Hospital (C.M., J.T., C.L.), Boston, Massachusetts, USA.
Context: Efficiently tracking Advance Care Planning (ACP) documentation in electronic heath records (EHRs) is essential for quality improvement and research efforts. The use of large language models (LLMs) offers a novel approach to this task.
Objectives: To evaluate the ability of LLMs to identify ACP in EHRs for patients with advanced cancer and compare performance to gold-standard manual chart review and natural language processing (NLP).
BMC Cancer
November 2024
Department of Public Health Sciences, University of Chicago Medical Center, Chicago, IL, USA.
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