ArticleThe American journal of hospice & palliative care2021
The Association of Advance Care Planning Documentation and End-of-Life Healthcare Use Among Patients With Multimorbidity.
Article in The American journal of hospice & palliative care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 13 citations in OpenAlex.
- Article
- Association of advance care planning with hospital use and costs at the end of life: a population-based retrospective cohort study.BMJ open · 2024Article
- Do goals of care documentation reflect the conversation?: Evaluating conversation-documentation accuracy.Journal of the American Geriatrics Society · 2024Article
- Exploring End-of-Life Care for Patients with Breast Cancer, Dementia or Heart Failure: A Register-Based Study of Individual and Institutional Factors.Healthcare (Basel, Switzerland) · 2024Article
- Outcomes and cost analysis of patients with dementia in the intensive care unit: a population-based cohort study.BMC health services research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
purposeMultimorbidity is associated with increased intensity of end-of-life healthcare. This association has been examined by number but not type of conditions. Our purpose was to understand how intensity of care is influenced by multimorbidity within specific chronic conditions to provide guidance for interventions to improve end-of-life care for these patients.
methodsWe identified adults cared for in a multihospital healthcare system who died between 2010-2017. We categorized patients by 4 primary chronic conditions: heart failure, pulmonary disease, renal disease, or dementia. Within each condition, we examined the effect of multimorbidity (presence of 4 or more chronic conditions) on hospital and ICU admission in the last 30 days of life, in-hospital death, and advance care planning (ACP) documentation >30 days before death. We performed logistic regression to estimate associations between multimorbidity and end-of-life care utilization, stratified by the presence or absence of ACP documentation.
resultsACP documentation >30 days before death was associated with lower odds of in-hospital death for all 4 conditions both in patients with and without multimorbidity. With the exception of patients with renal disease without multimorbidity, we observed lower odds of hospitalization and ICU admission for all patients with ACP >30 days before death.
conclusionsPatients with dementia and multimorbidity had the highest odds of high-intensity end-of-life care. For patients with dementia, heart failure, or pulmonary disease, ACP documentation >30 days before death was associated with lower likelihood of in-hospital death, hospitalization, and ICU use at end-of-life, regardless of multimorbidity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.