Evidence map›Paper›PMID 34783664›Full record

ArticleJMIR cancer2021

Technology-Based Interventions for Cancer Caregivers: Concept Analysis.

Zhaohui Su, Xiaoshan Li, Dean McDonnell, Andrea A Fernandez, Bertha E Flores, Jing Wang

Open access · goldAbstract read
In one paragraph

Article in JMIR cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Technology-Based Mental Health Interventions for Domestic Violence Victims Amid COVID-19.International journal of environmental research and public health · 2022
    Review
  10. 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

6 authors at 4 institutions in 4 countries.

Zhaohui SuCenter on Smart and Connected Health Technologies, School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0003-2005-9504
Xiaoshan LiProgram of Public Relations and Advertising, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, China.ORCID https://orcid.org/0000-0002-1765-4815
Dean McDonnellDepartment of Humanities, Institute of Technology, Carlow, Ireland.ORCID https://orcid.org/0000-0001-6043-8272
Andrea A FernandezSchool of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-9053-6612
Bertha E FloresSchool of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0003-4722-379X
Jing WangFlorida State University College of Nursing, Tallahassee, FL, United States.ORCID https://orcid.org/0000-0002-4012-0977
The University of Texas Health Science Center at San Antonio · USBeijing Normal-Hong Kong Baptist University · CNFlorida State University · USInstitute of Technology Carlow · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer is a taxing chronic disease that demands substantial care, most of which is shouldered by informal caregivers. As a result, cancer caregivers often have to manage considerable challenges that could result in severe physical and psychological health consequences. Technology-based interventions have the potential to address many, if not all, of the obstacles caregivers encounter while caring for patients with cancer. However, although the application of technology-based interventions is on the rise, the term is seldom defined in research or practice. Considering that the lack of conceptual clarity of the term could compromise the effectiveness of technology-based interventions for cancer caregivers, timely research is needed to bridge this gap.

objectiveThis study aims to clarify the meaning of technology-based interventions in the context of cancer caregiving and provide a definition that can be used by cancer caregivers, patients, clinicians, and researchers to facilitate evidence-based research and practice.

methodsThe 8-step concept analysis method by Walker and Avant was used to analyze the concept of technology-based interventions in the context of cancer caregiving. PubMed, PsycINFO, CINAHL, and Scopus were searched for studies that examined technology-based interventions for cancer caregivers.

resultsThe defining attributes of technology-based interventions were recognized as being accessible, affordable, convenient, and user-friendly. On the basis of insights gained on the defining attributes, antecedents to, and consequences of technology-based interventions through the concept analysis process, technology-based interventions were defined as the use of technology to design, develop, and deliver health promotion contents and strategies aimed at inducing or improving positive physical or psychological health outcomes in cancer caregivers.

conclusionsThis study clarified the meaning of technology-based interventions in the context of cancer caregiving and provided a clear definition that can be used by caregivers, patients, clinicians, and researchers to facilitate evidence-based oncology practice. A clear conceptualization of technology-based interventions lays foundations for better intervention design and research outcomes, which in turn have the potential to help health care professionals address the needs and preferences of cancer caregivers more cost-effectively.

Indexed as

cancercaregiversconcept analysismobile phoneoncologytechnology-based interventions

Identifiers

PMID34783664
PMCPMC8663574
OpenAlexW3212401238

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.