Evidence map›Paper›PMID 32468132›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2021

Can-Pain-a digital intervention to optimise cancer pain control in the community: development and feasibility testing.

Rosalind Adam, Christine M Bond, Christopher D Burton, Marijn de Bruin, Peter Murchie

Registry-linked trialOpen access · hybridAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02341846 (Exploring the Desirability, Feasibility and Practicalities of Using Information and Communication Technology), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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.

NCT02341846 completednot on this map

Exploring the Desirability, Feasibility and Practicalities of Using Information and Communication Technology (ICT) to Improve Cancer Pain Management in the Community

TypeobservationalSponsorUniversity of AberdeenRan2015 to 2015Enrolled50ConditionsNeoplasms, PainArmsQualitative interviews
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Rosalind AdamAcademic Primary Care, Institute of Applied Health Sciences, University of Aberdeen, Room 1:020, Polwarth Building, Foresterhill, Aberdeen, AB25 2ZD, UK. rosalindadam@abdn.ac.uk.ORCID https://orcid.org/0000-0003-3082-6578
Christine M BondAcademic Primary Care, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, Scotland, UK.
Christopher D BurtonAcademic Unit of Primary Medical Care, University of Sheffield, Sheffield, England, UK.
Marijn de BruinHealth Psychology, Radboud University Medical Centre, Radboud Institute of Health Sciences, IQ Healthcare, Nijmegen, Netherlands.
Peter MurchieAcademic Primary Care, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, Scotland, UK.
University of Aberdeen · GBRadboud University Nijmegen · NLUniversity of Sheffield · GB

Funding

Chief Scientist Office CAF/14/02
6 · The paper itself

Abstract

purposeTo develop a novel digital intervention to optimise cancer pain control in the community. This paper describes intervention development, content/rationale and initial feasibility testing.

methodsDeterminants of suboptimal cancer pain management were characterised through two systematic reviews; patient, caregiver and healthcare professional (HCP) interviews (n = 39); and two HCP focus groups (n = 12). Intervention mapping was used to translate results into theory-based content, creating the app "Can-Pain". Patients with/without a linked caregiver, their general practitioners and community palliative care nurses were recruited to feasibility test Can-Pain over 4 weeks.

resultsPatients on strong opioids described challenges balancing pain levels with opioid intake, side effects and activities and communicating about pain management problems with HCPs. Can-Pain addresses these challenges through educational resources, contemporaneous short-acting opioid tracking and weekly patient-reported outcome monitoring. Novel aspects of Can-Pain include the use of contemporaneous breakthrough analgesic reports as a surrogate measure of pain control and measuring the level at which pain becomes bothersome to the individual. Patients were unwell due to advanced cancer, making recruitment to feasibility testing difficult. Two patients and one caregiver used Can-Pain for 4 weeks, sharing weekly reports with four HCPs. Can-Pain highlighted unrecognised problems, promoted shared understanding about symptoms between patients and HCPs and supported shared decision-making.

conclusionsPreliminary testing suggests that Can-Pain is feasible and could promote patient-centred pain management. We will conduct further small-scale evaluations to inform a future randomised, stepped-wedge trial.

trial registrationQualitative research: ClinicalTrials.gov , reference NCT02341846 Feasibility study: NIHR CPMS database ID 34172.

Indexed as

AgedCancer PainFeasibility StudiesFemaleHumansMaleMiddle AgedNeoplasmsPain ManagementBehaviour changeCancerHealth informaticsIntervention mappingPainPalliative care

Identifiers

PMID32468132
PMCPMC7767903
OpenAlexW3031153760

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.