Social Media and mHealth Technology for Cancer Screening: Systematic Review and Meta-analysis

被引:60
作者
Ruco, Arlinda [1 ,2 ]
Dossa, Fahima [3 ]
Tinmouth, Jill [1 ,4 ,5 ]
Llovet, Diego [1 ,4 ]
Jacobson, Jenna [1 ,6 ]
Kishibe, Teruko [7 ]
Baxter, Nancy [1 ,2 ,8 ]
机构
[1] Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON, Canada
[2] Unity Hlth Toronto, Li Ka Shing Knowledge Inst, St Michaels Hosp, Toronto, ON, Canada
[3] Univ Toronto, Dept Surg, Div Gen Surg, Toronto, ON, Canada
[4] Ontario Hlth Canc Care Ontario, Prevent & Canc Control, Toronto, ON, Canada
[5] Sunnybrook Hlth Sci Ctr, Dept Med, Toronto, ON, Canada
[6] Ryerson Univ, Ted Rogers Sch Management, Toronto, ON, Canada
[7] Unity Hlth Toronto, Lib Serv, St Michaels Hosp, Toronto, ON, Canada
[8] Univ Melbourne, Melbourne Sch Populat & Global Hlth, 207 Bouverie St, Melbourne, Vic 3053, Australia
基金
加拿大健康研究院;
关键词
social media; mHealth; cancer screening; digital health; mass screening; mobile phone; TEXT-MESSAGE REMINDERS; BREAST-CANCER; DIGITAL DIVIDE; INTERVENTIONS; TRIAL; POPULATION; PREVENTION; KNOWLEDGE; SERVICE; WOMEN;
D O I
10.2196/26759
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Cancer is a leading cause of death, and although screening can reduce cancer morbidity and mortality, participation in screening remains suboptimal. Objective: This systematic review and meta-analysis aims to evaluate the effectiveness of social media and mobile health (mHealth) interventions for cancer screening. Methods: We searched for randomized controlled trials and quasi-experimental studies of social media and mHealth interventions promoting cancer screening (breast, cervical, colorectal, lung, and prostate cancers) in adults in MEDLINE, Embase, PsycINFO, Scopus, CINAHL, Cochrane Central Register of Controlled Trials, and Communication & Mass Media Complete from January 1, 2000, to July 17, 2020. Two independent reviewers screened the titles, abstracts, and full-text articles and completed the risk of bias assessments. We pooled odds ratios for screening participation using the Mantel-Haenszel method in a random-effects model. Results: We screened 18,008 records identifying 39 studies (35 mHealth and 4 social media). The types of interventions included peer support (n=1), education or awareness (n=6), reminders (n=13), or mixed (n=19). The overall pooled odds ratio was 1.49 (95% CI 1.31-1.70), with similar effect sizes across cancer types. Conclusions: Screening programs should consider mHealth interventions because of their promising role in promoting cancer screening participation. Given the limited number of studies identified, further research is needed for social media interventions.
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页数:26
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