Evidence map›Paper›PMID 33507949›Full record

Trial reportPloS one2021

A cluster randomised trial of a Needs Assessment Tool for adult Cancer patients and their carers (NAT-C) in primary care: A feasibility study.

Joseph Clark, Elvis Amoakwa, Alexandra Wright-Hughes, John Blenkinsopp, David C Currow, David Meads, Amanda Farrin, Victoria Allgar, Una Macleod, Miriam Johnson

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 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
1.0field-weighted citation impact, top 24% 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, 7 citations in OpenAlex.

  1. Trial
  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

10 authors at 4 institutions in 1 country.

Joseph ClarkWolfson Palliative Care Research Centre, University of Hull, Hull, United Kingdom.ORCID 0000-0003-1410-0996
Elvis AmoakwaWolfson Palliative Care Research Centre, University of Hull, Hull, United Kingdom.
Alexandra Wright-HughesLeeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom.
John BlenkinsoppUniversity of Northumbria, Newcastle upon Tyne, United Kingdom.
David C CurrowWolfson Palliative Care Research Centre, University of Hull, Hull, United Kingdom.
David MeadsLeeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom.
Amanda FarrinLeeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom.
Victoria AllgarHull York Medical School, University of York, York, United Kingdom.
Una MacleodHull York Medical School, University of Hull, Hull, United Kingdom.
Miriam JohnsonWolfson Palliative Care Research Centre, University of Hull, Hull, United Kingdom.ORCID 0000-0001-6204-9158
University of Hull · GBUniversity of Leeds · GBNorthumbria University · GBUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with cancer often have unidentified symptoms and social care needs. The Needs Assessment Tool-Cancer (NAT-C) is a validated, structured method of assessing patient/carer concerns and prompting action, to address unmet need.

aimsAssess feasibility and acceptability of a definitive two-armed cluster randomised trial of NAT-C in primary care by evaluating: recruitment of GP practices, patients and carers; most effective approach of ensuring NAT-C appointments, acceptability of study measures and follow-up.

methodsNon-blinded, feasibility study in four General Practices, with cluster randomisation to method of NAT-C appointment delivery, and process evaluation. Adults with active cancer were invited to participate with or without carer. Practices cluster randomised (1:1) to Arm I: promotion and use of NAT-C with a NAT-C trained clinician or Arm II: clinician of choice irrespective of training status. Participants completed study questionnaires at: baseline, 1, 3 and 6 months. Patients booked a 20 minute needs-assessment appointment post-baseline. Patients, carers and GP practice staff views regarding the study sought through interviews/focus groups. Quantitative data were analysed descriptively. Qualitative data were analysed thematically, informed by Normalisation Process Theory. Progression to a definitive trial was assessed against feasibility outcomes, relating to: recruitment rate, uptake and delivery of the NAT-C, data collection and quality.

resultsFive GP practices approached, four recruited and trained to use the NAT-C. Forty-seven participants and 17 carers recruited. At baseline, 34/47 (72%) participants reported at least one moderate-severe unmet need, confirming study rationale. 32/47 (68%) participants received a NAT-C-guided consultation, 19 of which on Arm I. Study attrition at one month (n = 44 (94%), n = 16 (94%)), three months (n = 38 (81%), n = 14 (82%)) and six months (n = 32 (68%), n = 10 (59%)). Fifteen patient interviews conducted across the whole study and one focus group at each GP practice. Participants supported a definitive study and found measures acceptable.

conclusionThe feasibility trial indicated that recruitment rate, intervention uptake and data collection were appropriate, with refinements, for a definitive multi-centre cluster randomised controlled trial. Feasibility outcomes informed the design of a 2-armed cluster randomised controlled trial to test the effectiveness and cost-effectiveness of the NAT-C compared with usual care.

Indexed as

CaregiversNeeds AssessmentPrimary Health CareQuality of LifeAgedAged, 80 and overFeasibility StudiesFemaleHumansMaleMiddle AgedNeoplasms

Identifiers

PMID33507949
PMCPMC7842977
OpenAlexW3125370194

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.