A phase III wait-listed randomised controlled trial of novel targeted inter-professional clinical education intervention to improve cancer patients' reported pain outcomes (The Cancer Pain Assessment (CPAS) Trial): Study protocol

Jane L. Phillips, Nicole Heneka, Melanie Lovell, Lawrence Lam, Patricia M Davidson, Frances Boyle, Nikki McCaffrey, Sally Fielding, Tim Shaw

Research output: Contribution to journalArticle

Abstract

Background: Variations in care models contribute to cancer pain being under-recognised and under-treated in half of all patients with cancer. International and national cancer pain management guidelines are achievable with minimal investment but require practice changes. While much of the cancer pain research over the preceding decades has focused on management interventions, little attention has been given to achieving better adherence to recommended cancer pain guideline screening and assessment practices. This trial aims to reduce unrelieved cancer pain by improving cancer and palliative doctors' and nurses' ('clinicians') pain assessment capabilities through a targeted inter-professional clinical education intervention delivered to participants' mobile devices ('mHealth'). Methods: A wait-listed, randomised control trial design. Cancer and/or palliative care physicians and nurses employed at one of the six participating sites across Australia will be eligible to participate in this trial and, on enrolment, will be allocated to the active or wait-listed arm. Participants allocated to the active arm will be invited to complete the mHealth cancer pain assessment intervention. In this trial, mHealth is defined as medical or public health practice supported by mobile devices (i.e. phones, patient monitoring devices, personal digital assistants and other wireless devices). This mHealth intervention integrates three evidence-based elements, namely: the COM-B theoretical framework; spaced learning pedagogy; and audit and feedback. This intervention will be delivered via the QStream online platform to participants' mobile devices over four weeks. The trial will determine if a tailored mHealth intervention, targeting clinicians' cancer pain assessment capabilities, is effective in reducing self-reported cancer pain scores, as measured by a Numerical Rating Scale (NRS). Discussion: If this mHealth intervention is found to be effective, in addition to improving cancer pain assessment practices, it will provide a readily transferable evidence-based framework that could readily be applied to other evidence practice gaps and a scalable intervention that could be administered simultaneously to multiple clinicians across diverse geographical locations. Moreover, if found to be cost-effective, it will help transform clinical continuing professional development. In summary, this mHealth intervention will provide health services with an opportunity to offer an evidence-based, pedagogically robust, cost-effective, scalable training alternative. Trial registration: Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN12618001103257. Registered on 3 July 2018.

Original languageEnglish (US)
Article number62
JournalTrials
Volume20
Issue number1
DOIs
StatePublished - Jan 18 2019

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Professional Education
Pain Measurement
Clinical Protocols
Telemedicine
Randomized Controlled Trials
Pain
Neoplasms
Equipment and Supplies
Guidelines
Handheld Computers
Public Health Practice
Nurse Clinicians
Cancer Pain
Patient Reported Outcome Measures
Costs and Cost Analysis
Physiologic Monitoring
Pain Management
Palliative Care
New Zealand
Health Services

Keywords

  • Assessment, pain
  • Cancer pain
  • Clinical competence
  • Cost-benefit analysis
  • Education, professional
  • Health services research
  • MeSH terms
  • Mobile applications
  • Pain measurement
  • Palliative care
  • Patient-reported outcome measures

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Pharmacology (medical)

Cite this

A phase III wait-listed randomised controlled trial of novel targeted inter-professional clinical education intervention to improve cancer patients' reported pain outcomes (The Cancer Pain Assessment (CPAS) Trial) : Study protocol. / Phillips, Jane L.; Heneka, Nicole; Lovell, Melanie; Lam, Lawrence; Davidson, Patricia M; Boyle, Frances; McCaffrey, Nikki; Fielding, Sally; Shaw, Tim.

In: Trials, Vol. 20, No. 1, 62, 18.01.2019.

Research output: Contribution to journalArticle

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abstract = "Background: Variations in care models contribute to cancer pain being under-recognised and under-treated in half of all patients with cancer. International and national cancer pain management guidelines are achievable with minimal investment but require practice changes. While much of the cancer pain research over the preceding decades has focused on management interventions, little attention has been given to achieving better adherence to recommended cancer pain guideline screening and assessment practices. This trial aims to reduce unrelieved cancer pain by improving cancer and palliative doctors' and nurses' ('clinicians') pain assessment capabilities through a targeted inter-professional clinical education intervention delivered to participants' mobile devices ('mHealth'). Methods: A wait-listed, randomised control trial design. Cancer and/or palliative care physicians and nurses employed at one of the six participating sites across Australia will be eligible to participate in this trial and, on enrolment, will be allocated to the active or wait-listed arm. Participants allocated to the active arm will be invited to complete the mHealth cancer pain assessment intervention. In this trial, mHealth is defined as medical or public health practice supported by mobile devices (i.e. phones, patient monitoring devices, personal digital assistants and other wireless devices). This mHealth intervention integrates three evidence-based elements, namely: the COM-B theoretical framework; spaced learning pedagogy; and audit and feedback. This intervention will be delivered via the QStream online platform to participants' mobile devices over four weeks. The trial will determine if a tailored mHealth intervention, targeting clinicians' cancer pain assessment capabilities, is effective in reducing self-reported cancer pain scores, as measured by a Numerical Rating Scale (NRS). Discussion: If this mHealth intervention is found to be effective, in addition to improving cancer pain assessment practices, it will provide a readily transferable evidence-based framework that could readily be applied to other evidence practice gaps and a scalable intervention that could be administered simultaneously to multiple clinicians across diverse geographical locations. Moreover, if found to be cost-effective, it will help transform clinical continuing professional development. In summary, this mHealth intervention will provide health services with an opportunity to offer an evidence-based, pedagogically robust, cost-effective, scalable training alternative. Trial registration: Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN12618001103257. Registered on 3 July 2018.",
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AU - Lam, Lawrence

AU - Davidson, Patricia M

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