Evidence map›Paper›PMID 32448387›Full record

ArticleTrials2020

The effectiveness of an electronic pain management programme for the working population with chronic pain: study protocol for a randomized controlled trial.

Shuk Kwan Tang, Mimi Mun Yee Tse, Sau Fong Leung, Theofanis Fotis

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03718702 (The Effectiveness of an Electronic Pain Management Programme), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT03718702 naunknown statusnot on this map

The Effectiveness of an Electronic Pain Management Programme (ePain) for Working Population With Chronic Pain: A Randomized Controlled Trial

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2018 to 2022Enrolled148ConditionsChronic PainArmsePain
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Shuk Kwan TangSchool of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong. skangel.tang@connect.polyu.hk.ORCID http://orcid.org/0000-0002-7878-0794
Mimi Mun Yee TseSchool of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Sau Fong LeungSchool of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Theofanis FotisSchool of Health Sciences, University of Brighton, Westlain House, Village Way, Brighton, BN1 9PH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic pain is highly prevalent in the working population. People tend to attempt self-initiated treatments to manage their pain. The self-efficacy of behavioural change is a suitable model for guiding the development of an electronic pain management programme (ePain). The aim in this study is to develop ePain and to evaluate its effectiveness at improving pain self-efficacy, reducing pain intensity and negative emotions, and increasing quality of life.

methodsThis study will be a randomized controlled trial. ePain will take the form of a 6-week online pain management programme. Participants will be aged 15 years or above, have chronic pain, and be employed. They must complete the baseline questionnaire and will be randomized into intervention and control groups. They will receive notifications to encourage their participation in ePain and complete the evaluation questionnaires. They will complete the process evaluation at week 3, the post assessment at week 6, and the follow-up assessment at week 12. The study will focus on pain self-efficacy; pain situations; negative emotions including levels of depression, anxiety, and stress; and quality of life. The participants' opinions of ePain will be collected as feedback. Data will be analysed on an intention-to-treat basis and generalized estimating equations will be used to investigate the time-averaged difference and differences at each follow-up time. DISCUSSION: The study will provide information about the pain situations of online users in the working population. The participants will benefit from improvements in pain self-efficacy, pain situations, emotional status, and quality of life. The study will illustrate whether online learning is an effective intervention for improving the pain self-efficacy of the working population.

trial registrationClinicalTrials.gov, NCT03718702. Registered on 23 October 2018.

Indexed as

Chronic PainCognitive Behavioral TherapyComputer-Assisted InstructionEmploymentHumansOnline SystemsRandomized Controlled Trials as TopicSelf CareSoftwareTreatment OutcomeChronic paineHealthElectronic pain management programmeePainPain managementWorking population

Identifiers

PMID32448387
PMCPMC7245757

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.