Evidence map›Paper›PMID 33738594›Full record

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

Leveraging mobile health technology and research methodology to optimize patient education and self-management support for advanced cancer pain.

Desiree R Azizoddin, Rosalind Adam, Daniela Kessler, Alexi A Wright, Benjamin Kematick, Clare Sullivan, Haipeng Zhang, Michael J Hassett, Mary E Cooley, Olga Ehrlich and 1 more

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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. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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.

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

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

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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

11 authors.

Desiree R AzizoddinDepartment of Psychosocial Oncology and Palliative Care, Dana Farber Cancer Institute, Boston, MA, USA. DRAzizoddin@BWH.Harvard.edu.ORCID http://orcid.org/0000-0001-6993-1776
Rosalind AdamInstitute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
Daniela KesslerDivision of Population Sciences, Dana Farber Cancer Institute, Boston, MA, USA.
Alexi A WrightHarvard Medical School, Boston, MA, USA.
Benjamin KematickDepartment of Psychosocial Oncology and Palliative Care, Dana Farber Cancer Institute, Boston, MA, USA.
Clare SullivanDepartment of Psychosocial Oncology and Palliative Care, Dana Farber Cancer Institute, Boston, MA, USA.
Haipeng ZhangDepartment of Psychosocial Oncology and Palliative Care, Dana Farber Cancer Institute, Boston, MA, USA.
Michael J HassettHarvard Medical School, Boston, MA, USA.
Mary E CooleyHarvard Medical School, Boston, MA, USA.
Olga EhrlichPhyllis F. Cantor Center, Dana-Farber Cancer Institute, Boston, MA, USA.
Andrea C EnzingerDepartment of Psychosocial Oncology and Palliative Care, Dana Farber Cancer Institute, Boston, MA, USA.

Funding

A Palliative Care mHealth Intervention to Support Advanced Cancer Patients and Oncology Providers in Opioid ManagementR21NR017745 · NINR · DANA-FARBER CANCER INST · PI ENZINGER, ANDREA C · 2018 to 2019
$485k
Chief Scientist Office SCAF/18/02NINR NIH HHS NR017745NINR NIH HHS R21 NR017745
6 · The paper itself

Abstract

purposePatient education is critical for management of advanced cancer pain, yet the benefits of psychoeducational interventions have been modest. We used mobile health (mHealth) technology to better meet patients' needs.

methodsUsing the Agile and mHealth Development and Evaluation Frameworks, a multidisciplinary team of clinicians, researchers, patients, and design specialists followed a four-phase iterative process to develop comprehensive, tailored, multimedia cancer pain education for a patient-facing smartphone application. The target population reviewed the content and provided feedback.

resultsThe resulting application provides comprehensive cancer pain education spanning pharmacologic and behavioral aspects of self-management. Custom graphics, animated videos, quizzes, and audio-recorded relaxations complemented written content. Computable algorithms based upon daily symptom surveys were used to deliver brief, tailored motivational messages that linked to more comprehensive teaching. Patients found the combination of pharmacologic and behavioral support to be engaging and helpful.

conclusionDigital technology can be used to provide cancer pain education that is engaging and tailored to individual needs. A replicable interdisciplinary and patient-centered approach to intervention development was advantageous. mHealth interventions may be a scalable approach to improve cancer pain. Frameworks that merge software and research methodology can be useful in developing interventions.

Indexed as

Cancer PainMobile ApplicationsNeoplasmsSelf-ManagementTelemedicineBiomedical TechnologyHumansPatient Education as TopicResearch DesignCancerEducationGraphic designmHealthOpioidPainSymptom managementTechnology

Identifiers

PMID33738594
PMCPMC8410657

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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.