Evidence map›Paper›PMID 34470636›Full record

ArticleBMC health services research2021

Efficacy of Normalisation of Advance Care Planning (NACP) for people with chronic diseases in hospital and community settings: a quasi-experimental study.

Sarah Jeong, Peter Cleasby, Se Ok Ohr, Tomiko Barrett, Ryan Davey, Christopher Oldmeadow

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Review
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 at 3 institutions in 1 country.

Sarah JeongSchool of Nursing and Midwifery, University of Newcastle, 10 Chittaway Road, Ourimbah, NSW, 2258, Australia. Sarah.Jeong@newcastle.edu.au.
Peter CleasbyDivision of Aged, Subacute and Complex Care, PO Box 6088, Central Coast Local Health District, Long Jetty, NSW, 2261, Australia.
Se Ok OhrSchool of Nursing and Midwifery, University of Newcastle, 10 Chittaway Road, Ourimbah, NSW, 2258, Australia.
Tomiko BarrettDepartment of Aged Care Services, Wyong Hospital, PO Box 4200, Central Coast Local Health District, Lakehaven, NSW, 2263, Australia.
Ryan DaveySchool of Nursing and Midwifery, University of Newcastle, 10 Chittaway Road, Ourimbah, NSW, 2258, Australia.
Christopher OldmeadowHunter Medical Research Institute, Lot 1, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, 2305, Australia.
Central Coast Local Health District · AUHunter Medical Research Institute · AUHunter New England Local Health District · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvance Care Planning (ACP) has emerged to improve end-of-life processes and experiences. However, the available evidence presents the gloomy picture of increasing number of older people living with chronic diseases and the mismatch between their preferences for and the actual place of death. The study aimed to investigate the efficacy of normalisation of an Advance Care Planning (NACP) service delivered by specially trained Registered Nurses (RNs) in hospital and community settings.

methodsA quasi-experimental study was conducted involving 16 sites (eight hospital and eight community sites) in Australia. Patients who were aged ≥18 years, who had at least one of nine chronic conditions, and who did not have an Advance Care Directive (ACD) were offered the NACP service. ACP was normalised as part of routine service on admission. The intervention, NACP, was a series of facilitated conversations about the components of ACP. The primary outcomes which included the completion of ACDs, and/or appointment of an Enduring Guardian (EG), were assessed in both intervention and control sites at pre and post intervention stages. Numbers of patients who completed an ACD or appointed an EG were described by count (percentage). ACD completion was compared between intervention and control sites using a logistic mixed effects regression model. The model includes fixed effects for treatment group, period, and their interaction, as well as random site level intercepts. Secondary model included potentially confounding variables as covariates, including age, sex and chronic diseases.

resultsThe prevalence of legally binding ACDs in intervention sites has increased from five to 85 (from 0.85% in pre to 17.6% in post), whereas it has slightly decreased from five to 2 (from 1.2% in pre and to 0.49% in post) in control sites (the difference in these changes being statistically significant p < 0.001). ACD completion rate was 3.6% (n = 4) in LHD1 and 1.2% (n = 3) in LHD2 in hospital whereas it was 53% (n = 26) in LHD1 and 80% (n = 52) in LHD2 in community.

conclusionsThe study demonstrated that NACP service delivered by ACP RNs was effective in increasing completion of ACDs (interaction odds ratio = 50) and was more effective in community than hospital settings. Involvement of various healthcare professionals are warranted to ensure concordance of care.

trial registrationThe study was retrospectively registered with the Australian New Zealand Clinical Trials Registry (Trial ID: ACTRN12618001627246 ) on 03/10/2018. The URL of the trial registry record http://www.anzctr.org.au/trial/MyTrial.aspx.

Indexed as

Advance Care PlanningAdolescentAdultAdvance DirectivesAgedAustraliaChronic DiseaseHospitalsHumansNon-Randomized Controlled Trials as TopicAdvance care directivesAdvance care planningCommunityHospitalNurses

Identifiers

PMID34470636
PMCPMC8408987
OpenAlexW3197095238

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.