Evidence map›Paper›PMID 31615500›Full record

ArticleBMC health services research2019

Associations between home deaths and end-of-life nursing care trajectories for community-dwelling people: a population-based registry study.

Camilla Kjellstadli, Ling Han, Heather Allore, Elisabeth Flo, Bettina S Husebo, Steinar Hunskaar

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Camilla KjellstadliDepartment of Global Public Health and Primary Care, University of Bergen, PO Box 7804, N-5018, Bergen, Norway. camilla.kjellstadli@uib.no.ORCID http://orcid.org/0000-0002-1296-382X
Ling HanDepartment of Internal Medicine, Yale University School of Medicine, 300 George St Suite 775, New Haven, CT, 06511, USA.
Heather AlloreDepartment of Internal Medicine, Yale University School of Medicine, 300 George St Suite 775, New Haven, CT, 06511, USA.
Elisabeth FloDepartment of Clinical Psychology, University of Bergen, PO box 7804, N-5018, Bergen, Norway.
Bettina S HuseboDepartment of Global Public Health and Primary Care, University of Bergen, PO Box 7804, N-5018, Bergen, Norway.
Steinar HunskaarDepartment of Global Public Health and Primary Care, University of Bergen, PO Box 7804, N-5018, Bergen, Norway.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Individualized Absolute Risk calculator For Persons With Multiple Chronic ConditionsR01AG047891 · NIA · YALE UNIVERSITY · PI ALLORE, HEATHER GWYNN · 2015 to 2017
$990k
NIA NIH HHS P30 AG021342NIA NIH HHS R01 AG047891NIA NIH HHS R01 AG047891-01A1; P30AG021342-14S1the Yale Claude D. Pepper Older Americans Independence Center P30AG021342
6 · The paper itself

Abstract

backgroundFew studies have estimated planned home deaths compared to actual place of death in a general population or the longitudinal course of home nursing services and associations with place of death. We aimed to investigate trajectories of nursing services, potentially planned home deaths regardless of place of death; and associations of place of death with potentially planned home deaths and nursing service trajectories, by analyzing data from the last 90 days of life.

methodsA retrospective longitudinal study with data from the Norwegian Cause of Death Registry and National registry for statistics on municipal healthcare services included all community-dwelling people who died in Norway 2012-2013 (n = 53,396). We used a group-based trajectory model to identify joint trajectories of home nursing (hours per week) and probability of a skilled nursing facility (SNF) stay, each of the 13 weeks leading up to death. An algorithm estimated potentially planned home deaths. We used a multinomial logistic regression model to estimate associations of place of death with potentially planned home deaths, trajectories of home nursing and short-term SNF.

resultsWe identified four home nursing service trajectories: no (46.5%), accelerating (7.6%), decreasing (22.1%), and high (23.5%) home nursing; and four trajectories of the probability of a SNF stay: low (69.0%), intermediate (6.7%), escalating (15.9%), and increasing (8.4%) SNF. An estimated 24.0% of all deaths were potentially planned home deaths, of which a third occurred at home. Only high home nursing was associated with increased likelihood of a home death (adjusted relative risk ratio (aRRR) 1.29; CI 1.21-1.38). Following any trajectory with elevated probability of a SNF stay reduced the likelihood of a home death.

conclusionsWe estimated few potentially planned home deaths. Trajectories of home nursing hours and probability of SNF stays indicated possible effective palliative home nursing for some, but also missed opportunities of staying at home longer at the end-of-life. Continuity of care seems to be an important factor in palliative home care and home death.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolContinuity of Patient CareFemaleHome Care ServicesHome NursingHospice CareHospitalsHumansIndependent LivingInfantInfant, NewbornEpidemiologyHome carePrimary careTerminal care

Identifiers

PMID31615500
PMCPMC6794846

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Registered trials

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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.