Evidence map›Paper›PMID 36862481›Full record

ArticleJMIR research protocols2023

Promoting Self-management and Patient Activation Through eHealth: Protocol for a Systematic Literature Review and Meta-analysis.

Saeed Moradian, Roma Maguire, Geoffrey Liu, Monika K Krzyzanowska, Marcus Butler, Chantal Cheung, Marisa Signorile, Nancy Gregorio, Shiva Ghasemi, Doris Howell

Open access · goldFull text read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

10 authors at 6 institutions in 3 countries.

Saeed MoradianSchool of Nursing, Faculty of Health, York University, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-5289-4806
Roma MaguireUniversity of Strathclyde, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0001-7935-3447
Geoffrey Liu *Princess Margaret Cancer Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-2603-7296
Monika K KrzyzanowskaPrincess Margaret Cancer Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-5533-7418
Marcus ButlerPrincess Margaret Cancer Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-9840-7057
Chantal CheungWestern University, London, ON, Canada.ORCID https://orcid.org/0000-0002-8695-2963
Marisa SignorilePrincess Margaret Cancer Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-5310-1903
Nancy GregorioPrincess Margaret Cancer Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-7476-2081
Shiva GhasemiShahid-Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-9761-7522
Doris HowellPrincess Margaret Cancer Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-0683-8715
Princess Margaret Cancer Centre · CAShahid Beheshti University of Medical Sciences · IRUniversity of Strathclyde · GBUniversity of Toronto · CAWestern University · CAYork University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMajor advances in different cancer treatment modalities have been made, and people are now living longer with cancer. However, patients with cancer experience a range of physical and psychological symptoms during and beyond cancer treatment. New models of care are needed to combat this rising challenge. A growing body of evidence supports the effectiveness of eHealth interventions in the delivery of supportive care to people living with the complexities of chronic health conditions. However, reviews on the effects of eHealth interventions are scarce in the field of cancer-supportive care, particularly for interventions with the aim of empowering patients to manage cancer treatment-related symptoms. For this reason, this protocol has been developed to guide a systematic review and meta-analysis to assess the effectiveness of eHealth interventions for supporting patients with cancer in managing cancer-related symptoms.

objectiveThis systematic review with meta-analysis is conducted with the aim of identifying eHealth-based self-management intervention studies for adult patients with cancer and evaluating the efficacy of eHealth-based self-management tools and platforms in order to synthesize the empirical evidence on self-management and patient activation through eHealth.

methodsA systematic review with meta-analysis and methodological critique of randomized controlled trials is conducted following Cochrane Collaboration methods. Multiple data sources are used to identify all potential research sources for inclusion in the systematic review: (1) electronic databases such as MEDLINE, (2) forward reference searching, and (3) gray literature. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for conducting the review were followed. The PICOS (Population, Interventions, Comparators, Outcomes, and Study Design) framework is used to identify relevant studies.

resultsThe literature search yielded 10,202 publications. The title and abstract screening were completed in May 2022. Data will be summarized, and if possible, meta-analyses will be performed. It is expected to finalize this review by Winter 2023.

conclusionsThe results of this systematic review will provide the latest data on leveraging eHealth interventions and offering effective and sustainable eHealth care, both of which have the potential to improve quality and efficiency in cancer-related symptoms.

trial registrationPROSPERO 325582; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=325582. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38758.

Indexed as

cancer-related symptomscancer supportive caredigital healthself-efficacysupported self-management

Identifiers

PMID36862481
PMCPMC10020897
OpenAlexW4312680782

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read2
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.