Yanwei Huang 1 , Qianqian Li 1 , Fang Zhou 1 , Jingyuan Song 2 Show Affiliations »
Abstract
OBJECTIVE: To identify the elements of internet-based support interventions and assess their effectiveness at reducing psychological distress, anxiety and/or depression, physical variables (prevalence, severity and distress from physical symptoms) and improving quality of life, social support and self-efficacy among patients with breast cancer. DESIGN: Systematic review and narrative synthesis. DATA SOURCES: Web of Science, Cochrane Library, PubMed, MEDLINE, PsycINFO, CINAHL, CNKI, Wanfang and VIP from over the past 5 years of each database to June 2021. ELIGIBILITY CRITERIA FOR STUDY SELECTION: Included were randomised controlled trials (RCTs) or quasi-experimental (QE) studies focusing on internet-based support interventions in patients with breast cancer. DATA EXTRACTION AND SYNTHESIS: Reviewers independently screened, extracted data and assessed risk of bias (Cochrane Collaboration' risk of bias tool, Joanna Briggs Institute reviewer's manual). Narrative synthesis included the effect and elements of internet-based support interventions for women with breast cancer. RESULTS: Out of 2842 articles, 136 qualified articles were preliminarily identified. After further reading the full text, 35 references were included, including 30 RCTs and five QE studies. Internet-based support interventions have demonstrated positive effects on women's quality of life and physical variables, but inconsistent effectiveness has been found on psychological distress, symptoms of anxiety and/or depression, social support and self-efficacy. CONCLUSIONS: Internet-based support interventions are increasingly being used as clinically promising interventions to promote the health outcomes of patients with breast cancer. Future research needs to implement more rigorous experimental design and include sufficient sample size to clarify the effectiveness of this internet-based intervention. PROSPERO REGISTRATION NUMBER: CRD42021271380. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
OBJECTIVE: To identify the elements of internet-based support interventions and assess their effectiveness at reducing psychological distress, anxiety and/or depression, physical variables (prevalence, severity and distress from physical symptoms) and improving quality of life, social support and self-efficacy among patients with breast cancer. DESIGN: Systematic review and narrative synthesis. DATA SOURCES: Web of Science, Cochrane Library, PubMed, MEDLINE, PsycINFO, CINAHL, CNKI, Wanfang and VIP from over the past 5 years of each database to June 2021. ELIGIBILITY CRITERIA FOR STUDY SELECTION: Included were randomised controlled trials (RCTs) or quasi-experimental (QE) studies focusing on internet-based support interventions in patients with breast cancer. DATA EXTRACTION AND SYNTHESIS: Reviewers independently screened, extracted data and assessed risk of bias (Cochrane Collaboration' risk of bias tool, Joanna Briggs Institute reviewer's manual). Narrative synthesis included the effect and elements of internet-based support interventions for women with breast cancer. RESULTS: Out of 2842 articles, 136 qualified articles were preliminarily identified. After further reading the full text, 35 references were included, including 30 RCTs and five QE studies. Internet-based support interventions have demonstrated positive effects on women's quality of life and physical variables, but inconsistent effectiveness has been found on psychological distress, symptoms of anxiety and/or depression, social support and self-efficacy. CONCLUSIONS: Internet-based support interventions are increasingly being used as clinically promising interventions to promote the health outcomes of patients with breast cancer. Future research needs to implement more rigorous experimental design and include sufficient sample size to clarify the effectiveness of this internet-based intervention. PROSPERO REGISTRATION NUMBER: CRD42021271380. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Entities: Chemical
Keywords:
biotechnology & bioinformatics; breast tumours; oncology; telemedicine
Mesh： See more »
Year: 2022
PMID： 35641011 PMCID： PMC9157353 DOI： 10.1136/bmjopen-2021-057664
Source DB: PubMed Journal: BMJ Open ISSN： 2044-6055 Impact factor: 3.006