Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106612
DC Field | Value | Language |
---|---|---|
dc.contributor | School of Nursing | en_US |
dc.contributor | Research Centre for Chinese Medicine Innovation | en_US |
dc.contributor | Department of Health Technology and Informatics | en_US |
dc.contributor | Research Institute for Smart Ageing | en_US |
dc.creator | Xie, YJ | en_US |
dc.creator | Liao, X | en_US |
dc.creator | Lin, M | en_US |
dc.creator | Yang, L | en_US |
dc.creator | Cheung, K | en_US |
dc.creator | Zhang, Q | en_US |
dc.creator | Li, Yan | en_US |
dc.creator | Hao, C | en_US |
dc.creator | Wang, HHX | en_US |
dc.creator | Gao, Y | en_US |
dc.creator | Zhang, D | en_US |
dc.creator | Molassiotis, A | en_US |
dc.creator | Hang, GKH | en_US |
dc.creator | Leung, AYM | en_US |
dc.date.accessioned | 2024-05-17T06:04:37Z | - |
dc.date.available | 2024-05-17T06:04:37Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/106612 | - |
dc.language.iso | en | en_US |
dc.publisher | JMIR Publications, Inc. | en_US |
dc.rights | © Yao Jie Xie, Xiaoli Liao, Meijuan Lin, Lin Yang, Kin Cheung, Qingpeng Zhang, Yan Li, Chun Hao, Harry HX Wang, Yang Gao, Dexing Zhang, Alex Molassiotis, Gilman Kit Hang Siu, Angela Yee Man Leung. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 10.05.2024. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included. | en_US |
dc.rights | The following publication Xie Y, Liao X, Lin M, Yang L, Cheung K, Zhang Q, Li Y, Hao C, Wang H, Gao Y, Zhang D, Molassiotis A, Siu G, Leung A. Community Engagement in Vaccination Promotion: Systematic Review and Meta-Analysis. JMIR Public Health Surveill 2024;10:e49695 is available at https://doi.org/10.2196/49695. | en_US |
dc.subject | Community-based participatory research | en_US |
dc.subject | Community engagement | en_US |
dc.subject | Health promotion | en_US |
dc.subject | Vaccination rate | en_US |
dc.subject | Vaccine | en_US |
dc.title | Community engagement in vaccination promotion : systematic review and meta-analysis | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 10 | en_US |
dc.identifier.doi | 10.2196/49695 | en_US |
dcterms.abstract | Background: Community engagement plays a vital role in global immunization strategies, offering the potential to overcome vaccination hesitancy and enhance vaccination confidence. Although there is significant backing for community engagement in health promotion, the evidence supporting its effectiveness in vaccination promotion is fragmented and of uncertain quality. | en_US |
dcterms.abstract | Objective: This review aims to systematically examine the effectiveness of different contents and extent of community engagement for promoting vaccination rates. | en_US |
dcterms.abstract | Methods: This study was performed in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A comprehensive and exhaustive literature search was performed in 4 English databases (PubMed, Embase, Web of Science, and Cochrane Library) and 2 Chinese databases (CNKI and Wan Fang) to identify all possible articles. Original research articles applying an experimental study design that investigated the effectiveness of community engagement in vaccination promotion were eligible for inclusion. Two reviewers independently performed the literature search, study selection, quality assessment, and data extraction. Discrepancies were resolved through discussion, with the arbitration of a third reviewer where necessary. | en_US |
dcterms.abstract | Results: A total of 20 articles out of 11,404 records from 2006 to 2021 were retrieved. The studies used various designs: 12 applied single-group pre-post study designs, 5 were cluster randomized controlled trials (RCTs), and 3 were non-RCTs. These studies targeted multiple vaccines, with 8 focusing on children’s immunization, 8 on human papillomavirus vaccine, 3 on hepatitis B virus vaccine, and 1 on COVID-19 vaccine. The meta-analysis revealed significant increases in vaccination rates both in pre-post comparison (rate difference [RD] 0.34, 95% CI 0.21-0.47, I2=99.9%, P<.001) and between-group comparison (RD 0.18, 95% CI 0.07-0.29, I2=98.4%, P<.001). The meta-analysis revealed that participant recruitment had the largest effect size (RD 0.51, 95% CI 0.36-0.67, I2=99.9%, P<.001), followed by intervention development (RD 0.36, 95% CI 0.23-0.50, I2=100.0%, P<.001), intervention implementation (RD 0.35, 95% CI 0.22-0.47, I2=99.8%, P<.001), and data collection (RD 0.34, 95% CI 0.19-0.50, I2=99.8%, P<.001). The meta-analysis indicated that high community engagement extent yielded the largest effect size (RD 0.49, 95% CI 0.17-0.82, I2=100.0%, P<.001), followed by moderate community engagement extent (RD 0.45, 95% CI 0.33-0.58, I2=99.6%, P<.001) and low community engagement extent (RD 0.15, 95% CI 0.05-0.25, I2=99.2%, P<.001). The meta-analysis revealed that “health service support” demonstrated the largest effect sizes (RD 0.45, 95% CI 0.25-0.65, I2=99.9%, P<.001), followed by “health education and discussion” (RD 0.39, 95% CI 0.20-0.58, I2=99.7%, P<.001), “follow-up and reminder” (RD 0.33, 95% CI 0.23-0.42, I2=99.3%, P<.001), and “social marketing campaigns and community mobilization” (RD 0.24, 95% CI 0.06-0.41, I2=99.9%, P<.001). | en_US |
dcterms.abstract | Conclusions: The results of this meta-analysis supported the effectiveness of community engagement in vaccination promotion with variations in terms of engagement contents and extent. Community engagement required a “fit-for-purpose” approach rather than a “one-size-fits-all” approach to maximize the effectiveness of vaccine promotion. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | JMIR public health and surveillance, 2024, v. 10, e49695 | en_US |
dcterms.isPartOf | JMIR public health and surveillance | en_US |
dcterms.issued | 2024 | - |
dc.identifier.eissn | 2369-2960 | en_US |
dc.identifier.artn | e49695 | en_US |
dc.description.validate | 202405 bcch | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Others | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Health and Medical Research Fund (HMRF)–Commissioned Research on the Novel Coronavirus Disease | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
publichealth-2024-1-e49695.pdf | 1.91 MB | Adobe PDF | View/Open |
Page views
15
Citations as of Jun 30, 2024
Downloads
4
Citations as of Jun 30, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.