Evidence map›Paper›PMID 30578200›Full record

ArticleJMIR cancer2018

The Implementation Effectiveness of a Freely Available Pediatric Cancer Pain Assessment App: A Pilot Implementation Study.

Perri R Tutelman, Christine T Chambers, Jennifer N Stinson, Jennifer A Parker, Melanie Barwick, Holly O Witteman, Lindsay Jibb, Hayley C Stinson, Conrad V Fernandez, Paul C Nathan and 2 more

Abstract read
In one paragraph

Article in JMIR cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Improvement Opportunities for PAINReportItResearch in gerontological nursing · 2023
    Article
  5. Reducing pain in children with cancer at home: a feasibility study of the KLIK pain monitor app.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  6. Observational
  7. Article
  8. Pain Assessment Tools for Infants, Children, and Adolescents With Cancer: A Scoping Review.Pediatrics international : official journal of the Japan Pediatric Society
    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

12 authors.

Perri R TutelmanDalhousie University, Halifax, NS, Canada.ORCID http://orcid.org/0000-0001-6013-7402
Christine T ChambersDalhousie University, Halifax, NS, Canada.ORCID http://orcid.org/0000-0002-7138-916X
Jennifer N StinsonUniversity of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-9969-8052
Jennifer A ParkerIWK Health Centre, Halifax, NS, Canada.ORCID http://orcid.org/0000-0001-9900-4703
Melanie BarwickUniversity of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-2478-604X
Holly O WittemanLaval University, Quebec, QC, Canada.ORCID http://orcid.org/0000-0003-4192-0682
Lindsay JibbUniversity of Ottawa, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0001-6995-2825
Hayley C StinsonIWK Health Centre, Halifax, NS, Canada.ORCID http://orcid.org/0000-0003-4227-597X
Conrad V FernandezDalhousie University, Halifax, NS, Canada.ORCID http://orcid.org/0000-0002-0746-8306
Paul C NathanUniversity of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-0334-0871
Fiona CampbellUniversity of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-6482-0743
Karen IrwinCancer Knowledge Network, Milton, ON, Canada.ORCID http://orcid.org/0000-0001-8805-5003

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPain Squad is an evidence-based, freely available iOS app designed to assess pain in children with cancer. Once research-based technologies such as Pain Squad are validated, it is important to evaluate their performance in natural settings to optimize their real-world clinical use.

objectiveThe objective of this study was to evaluate the implementation effectiveness of Pain Squad in a natural setting.

methodsParents of 149 children with cancer (aged 8-18 years) were contacted to invite their child to participate. Participating children downloaded Pain Squad on their own iOS devices from the Apple App Store and reported their pain using the app twice daily for 1 week. Participants then emailed their pain reports from the app to the research team and completed an online survey on their experiences. Key implementation outcomes included acceptability, appropriateness, cost, feasibility, fidelity, penetration, and sustainability.

resultsOf the 149 parents contacted, 16 of their children agreed to participate. More than a third (6/16, 37.5%) of participating children returned their pain reports to the research team. Adherence to the pain assessments was 62.1% (mean 8.7/14 assessments). The 6 children who returned reports rated the app as highly feasible to download and use and rated their overall experience as acceptable. They also reported that they would be willing to sustain their Pain Squad use over several weeks and that they would recommend it to other children with cancer, which suggests that it may have potential for penetration.

conclusionsWhile Pain Squad was well received by the small number of children who completed the study, user uptake, engagement, and adherence were significant barriers to the implementation of Pain Squad in a natural setting. Implementation studies such as this highlight important challenges and opportunities for promoting the use and uptake of evidence-based technologies by the intended end-users.

Indexed as

cancer paineHealthimplementationmHealthpain assessmentpediatric cancer

Identifiers

PMID30578200
PMCPMC6320418

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.