Evidence map›Paper›PMID 27503206›Full record

ArticleJMIR research protocols2016

An Online Learning Module to Increase Self-Efficacy and Involvement in Care for Patients With Advanced Lung Cancer: Research Protocol.

Anna Janssen, Tim Shaw, Adnan Nagrial, Christopher Pene, Melanie Rabbets, Matteo Carlino, Clare Zachulski, Jane Phillips, Robert Birnbaum, Tejal Gandhi and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR research protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 30% 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.

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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

11 authors at 5 institutions in 2 countries.

Anna JanssenResearch in Implementation Science and eHealth, Faculty of Health Sciences, University of Sydney, Sydney, Australia. anna.janssen@sydney.edu.au.ORCID http://orcid.org/0000-0001-6611-9651
Tim ShawORCID http://orcid.org/0000-0003-0783-1918
Adnan NagrialORCID http://orcid.org/0000-0003-0275-2479
Christopher PeneORCID http://orcid.org/0000-0003-4530-9434
Melanie RabbetsORCID http://orcid.org/0000-0002-7252-4749
Matteo CarlinoORCID http://orcid.org/0000-0002-7861-4104
Clare ZachulskiORCID http://orcid.org/0000-0002-9700-8847
Jane PhillipsORCID http://orcid.org/0000-0001-7520-3783
Robert BirnbaumORCID http://orcid.org/0000-0003-3037-5180
Tejal GandhiORCID http://orcid.org/0000-0003-3434-9633
Paul HarnettORCID http://orcid.org/0000-0001-7021-0642
Westmead Hospital · AUThe University of Sydney · AUMass General Brigham · USNational Patient Safety Foundation · USUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproving patient care for individuals with lung cancer is a priority due to the increasing burden of the disease globally. One way this can be done is by improving patient self-management capabilities through increasing their self-efficacy. This can improve positive outcomes for patients with chronic conditions and increase their ability to manage the challenges of such illnesses. Unfortunately, patients with chronic conditions often struggle to travel far from home to engage with patient education events, a common means of improving self-efficacy. The development of more accessible tools for improving patient self-efficacy is required to increase quality of life for patients with chronic conditions.

objectiveTo evaluate the feasibility of delivering symptom identification and management information to patients with advanced lung cancer using an online program.

methodsThis article describes a pre-post test study to evaluate a Qstream online learning platform to improve patient self-efficacy for managing advanced lung cancer symptoms. Undertaking this program should increase participant knowledge about the side-effects they may experience as a result of their treatment and in turn increase help-seeking behavior and self-efficacy for the participant cohort. Quantitative data collected by the Qstream platform on the completion rates of participants will be used as a tool to evaluate the intervention. Additionally, validated scales will be used to collect data on patient self-efficacy. Qualitative data will also be collected via an exit survey and thematic content analysis of semi-structured interviews.

resultsThe research is in the preliminary stages but thus far a protocol has been approved in support of the project. Additionally, advisory committee members have been identified and initial meetings have been undertaken.

conclusionsDevelopment of new approaches for increasing patient understanding of their care is important to ensure high quality care continues to be delivered in the clinical setting.

Indexed as

eHealthlung canceronline learningpalliative carepatient educationpatient safety and qualitypatient self-efficacyside-effect management

Identifiers

PMID27503206
PMCPMC4993864
OpenAlexW2505678703

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.