Evidence map›Paper›PMID 33776602›Full record

ArticleInternational journal of integrated care2021

Engaging Carers in Co-Design: Development of the Carer Readiness Tool.

Sian White, Natalie Hart, Suzanne Lewis

Open access · goldAbstract readCase Reports
In one paragraph

Article in International journal of integrated care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

3 authors at 1 institution in 1 country.

Sian WhiteClinical Safety, Quality and Governance Directorate, Central Coast Local Health District, Gosford, NSW, Australia.ORCID https://orcid.org/0000-0002-4261-054X
Natalie HartClinical Safety, Quality and Governance Directorate, Central Coast Local Health District, Gosford, NSW, Australia.
Suzanne LewisClinical Safety, Quality and Governance Directorate, Central Coast Local Health District, Gosford, NSW, Australia.ORCID 0000-0002-5250-7415
Central Coast Local Health District · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Carer Support Unit (CSU) of the Central Coast Local Health District (CCLHD), NSW, Australia, developed, trialled and implemented a Carer Readiness Tool (CRT) to help carers gauge their readiness to care at home, highlight to hospital staff areas for additional support for carers, and provide evidence of carer engagement in discharge planning. DESCRIPTION: A rigorous co-design process was followed with carer consultation at key milestones in development of the CRT. The tool was piloted in two cancer/chronic renal disease inpatient units commencing November 2019. DISCUSSION: The CRT was well-received by carers who appreciated the opportunity to complete the tool in their own time, not in front of the patient. Positive feedback was received from clinicians, including the breadth of the CRT's content which contributed to better discharge planning. The need to manually incorporate a hard copy form into the electronic medical record is a limitation of the CRT.

conclusionThe CRT is context-specific and fit for purpose. During the development of the CRT, the project team focused on the face validity and usefulness of the tool. The next stage of the project will be formal evaluation of the tool to measure its impact.

Indexed as

cancer patientscarer readinessco-designdischarge planninginformal caregivers

Identifiers

PMID33776602
PMCPMC7977025
OpenAlexW3138502641

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.