Evidence map›Paper›PMID 36137622›Full record

ArticleBMJ open2022

Using a discrete choice experiment to develop a decision aid tool to inform the management of persistent pain in pharmacy: a protocol for a randomised feasibility study.

Luis Enrique Loría-Rebolledo, Mandy Ryan, Christine Bond, Terry Porteous, Peter Murchie, Rosalind Adam

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05102578 (Understanding Persistent Pain), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT05102578 nacompletednot on this map

Understanding Persistent Pain: A Feasibility Study for the Use of a Digital Decision Aid Tool for Persistent Pain in a Pharmacy Setting

TypeinterventionalSponsorUniversity of AberdeenRan2022 to 2023Enrolled40ConditionsChronic PainArmsDigital Decision Aid Tool
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Luis Enrique Loría-RebolledoHealth Economics Research Unit, University of Aberdeen, Aberdeen, UK luis.loria@abdn.ac.uk.ORCID 0000-0002-1391-6478
Mandy RyanHealth Economics Research Unit, University of Aberdeen, Aberdeen, UK.
Christine BondInstitute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
Terry PorteousInstitute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
Peter MurchieAcademic Primary Care, University of Aberdeen, Aberdeen, UK.ORCID 0000-0001-9968-5991
Rosalind AdamAcademic Primary Care, University of Aberdeen, Aberdeen, UK.ORCID 0000-0003-3082-6578

Funding

Chief Scientist Office HERU1
6 · The paper itself

Abstract

introductionIn an era of personalised healthcare, it has become increasingly important to elicit individual-level preferences. While discrete choice experiments (DCEs) are widely used to measure patient preferences in the delivery of healthcare, the focus has been sample-level analysis. Using the DCE methodology, this project has designed a digital decision aid tool (DAT) with the potential to estimate individual preferences in real time to inform clinical consultation decisions in persistent pain management.

methodsUsing a feasibility randomised control trial, this study aims to assess the feasibility of using this Understanding Persistent Pain (UPP) DAT in a pharmacy-based clinical setting and to test processes for a future definite randomised trial. Community and practice-based pharmacists (up to 10) will be recruited in The National Health Service (NHS) Grampian and trained in the use of the digital UPP DAT. Pharmacists will recruit up to 60 patients who are living with persistent pain. Patients will be randomised to one of two groups: using the UPP DAT or usual care. Pharmacists will follow-up patients as needed according to clinical need and following standard practice. DCE response data collected by the UPP DAT will be analysed using the penalised logit model, allowing estimation of individual preferences in real time. We will follow-up pharmacists and patients who use the UPP DAT to gather feedback on their experiences. ETHICS AND DISSEMINATION: This study received ethical approval from the North of Scotland Research Ethics Committee (21/NS/0059) and received Research & Development Management Permission to proceed from NHS Grampian (2021UA003E). The study has been registered in the ClinicalTrials.gov database. Findings will be disseminated in peer-reviewed publications, presentations and newsletters and made available in the University of Aberdeen and Pharmacy Research UK websites. Participants gave informed consent to participate in the study before taking part. TRIAL REGISTRATION NUMBER: NCT05102578; clinicaltrials.gov.

Indexed as

PharmacyState MedicineDecision Support TechniquesFeasibility StudiesHumansPainRandomized Controlled Trials as TopicHEALTH ECONOMICSPAIN MANAGEMENTPRIMARY CARE

Identifiers

PMID36137622
PMCPMC9511577

What OpenQuestion holds

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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.