Quality assessment of systematic reviews on community interventions in China_Chinese Journal of Evidence-Based Medicine

Authors：

WANG Xiaoyan ¹ , LIU Ying ² ,  NING Yanhua ¹

1. Department of Community Nursing, the Nursing School of Ningxia Medical University, Yinchuan, 750004, P.R.China;
2. Department of Epidemiology and Biostatistics, Public Health School of Ningxia Medical University, Yinchuan, 750004, P.R.China;

Corresponding author：

NING Yanhua, Email: nyhl_ning@126.com

Keywords：

Community intervention; China; Systematic review; Meta-analysis; Methodological quality; Reporting quality; AMSTAR; PRISMA

DOI：

10.7507/1672-2531.201710096

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ObjectivesTo assess the characteristics, methodological and reporting qualities of systematic reviews on community interventions in China.MethodsThe Cochrane Library, PubMed, EMbase, Web of Science, CNKI, VIP, WanFang Data and CBM databases were searched for studies of community interventions from inception to August 2017. Two reviewers independently screened literature, extracted data and assessed the methodological and reporting quality by AMSTAR tool and PRISMA checklist. Data analysis was performed by SPSS 20.0 software.ResultsA total of 18 systematic reviews of community interventions were included. The average AMSTAR score was 4.67±1.68, and all studies did not provide the list of included and excluded studies or a statement on conflict of interests. The average PRISMA score was 16.42±3.65, and over 50.0% of the included systematic reviews did not perform protocol and registration, search, additional analyses, risk of bias of included studies and funding.ConclusionsThe evidence shows that the reporting and methodological quality of meta-analyses of community interventions in China is insufficient. The combination of results, quality of individual research and the evaluation of publication bias should be paid more attention to improve methodological quality. The reporting of meta-analyses of community interventions in China should follow the PRISMA checklist.

Citation： WANG Xiaoyan, LIU Ying, NING Yanhua. Quality assessment of systematic reviews on community interventions in China. Chinese Journal of Evidence-Based Medicine, 2018, 18(7): 729-734. doi: 10.7507/1672-2531.201710096 Copy

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21.	雷良蓉. 社区护理干预对老年糖尿病患者治疗效果影响的 Meta 分析. 中国现代医药杂志, 2012, 14(4): 57-59.
22.	程桂香, 朱正盛. 高血压患者遵医行为社区护理干预 Meta 分析. 中国医药科学, 2011, 1(19): 41-42.
23.	孔令娜, 刘可仪, 周颖清. 社区护理干预对老年高血压疗效影响的 Meta 分析. 中国全科医学, 2010, 13(13): 1462-1464.
24.	陈怀玉, 胡丽君. 社区干预对糖尿病患者遵医行为影响的 Meta 分析. 中国全科医学, 2010, 13(25): 2834-2836.
25.	郭彧, 李立明. 高血压社区综合防治效果的荟萃分析. 中华流行病学杂志, 2000, 21(3): 171-176.
26.	Chen Z. Launch of the health-care reform plan in China. Lancet, 2009, 373(9672): 1322.
27.	Jadad AR, Cook DJ, Jones A, et al. Methodology and reports of systematic reviews and meta-analyses: a comparison of Cochrane reviews with articles published in paper-based journals. JAMA, 1998, 280(3): 278-280.
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29.	Ma B, Qi GQ, Lin XT, et al. Epidemiology, quality, and reporting characteristics of systematic reviews of acupuncture interventions published in Chinese journals. J Altern Complem Med, 2012, 18(9): 813.

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2. World Health Organization. Action plan for prevention and control of non-communicable diseases, 2015. Available at: http://whqlibdoc.who.int/publications/2009/9789241597418_eng.pdf.
3. 齐力, 姜莹莹, 毛凡, 等. 社区慢性病防治工作现状及居民对慢性病防治的认识和需求. 中国慢性病预防与控制, 2016, 24(4): 279-282.
4. Carter MJ. Evidence-based medicine: an overview of key concepts. Ostomy Wound Manage, 2010, 56(4): 68.
5. Nordmann AJ, Kasenda B, Briel M. Meta-analyses: what they can and cannot do. Swiss Med Wkly, 2012, 142(142): w13518.
6. Shea BJ, Hamel C, Wells GA, et al. AMSTAR is a reliable and valid measurement tool to assess the methodological quality of systematic reviews. J Clin Epidemiol, 2009, 62(10): 1013-1020.
7. Knobloch K, Yoon U, Vogt PM, et al. Preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement. J Craniomaxillofac Surg, 2011, 39(2): 91-92.
8. 张建军, 雷婷, 周慧. 社区干预对我国 2 型糖尿病疗效影响的 Meta 分析. 华南预防医学, 2017, 43(2): 122-125.
9. 张艾川, 牟善芳. 国内社区护理干预对老年性骨质疏松症临床结局影响的 Meta 分析. 湖南中医杂志, 2016, 32(9): 153-156.
10. 杨维维, 刘沛, 巢健茜, 等. 社区干预对高血压患者血压影响 Meta 分析. 中国公共卫生, 2016, 32(5): 712-715.
11. 宋玉波, 孙佩佩, 高珊, 等. 中国老年高血压患者社区管理效果的 Meta 分析. 社区医学杂志, 2016, 14(16): 17-21.
12. 李越, 丁李路, 边学峰, 等. 社区综合干预对重性精神病患者复发率影响. 中国公共卫生, 2016, 32(3): 398-401.
13. 乐春燕. 社区护理干预对老年高血压疗效影响的 Meta 分析. 大家健康旬刊, 2016, 10(1): 193-193.
14. 丁桂花. 我国社区健康干预措施对儿童保健效果影响的系统评价. 中国妇幼卫生杂志, 2016, 7(2): 1-5.
15. 张炎, 孙秋英, 张敏, 等. 糖尿病医院社区一体化管理模式效果的系统评价. 中华现代护理杂志, 2015, 21(26): 3132-3135.
16. 许意清, 李越, 姜宝法. 重性精神病患者肇事肇祸社区综合管理干预效果 meta 分析. 中国公共卫生, 2015, 31(8): 1091-1094.
17. 饶琦. 全程护理干预疗法对中国人群老年性痴呆效果的系统评价和 Meta 分析. 当代医学, 2015, 21(18): 3-5.
18. 曾子, 田旭, 帅婷, 等. 国内社区护理干预对老年骨质疏松症病人临床结局影响的系统评价. 循证护理, 2015, 1(1): 12-20.
19. 薛秦香, 苏敏. 对我国社区糖尿病治疗效果的 Meta 分析. 中国卫生事业管理, 2014, 31(9): 654-658.
20. 吴晖, 刘波, 项兆均, 等. 我国社区干预糖代谢异常人群对心脑血管事件影响的荟萃分析. 上海医药, 2014, 35(12): 43-46.
21. 雷良蓉. 社区护理干预对老年糖尿病患者治疗效果影响的 Meta 分析. 中国现代医药杂志, 2012, 14(4): 57-59.
22. 程桂香, 朱正盛. 高血压患者遵医行为社区护理干预 Meta 分析. 中国医药科学, 2011, 1(19): 41-42.
23. 孔令娜, 刘可仪, 周颖清. 社区护理干预对老年高血压疗效影响的 Meta 分析. 中国全科医学, 2010, 13(13): 1462-1464.
24. 陈怀玉, 胡丽君. 社区干预对糖尿病患者遵医行为影响的 Meta 分析. 中国全科医学, 2010, 13(25): 2834-2836.
25. 郭彧, 李立明. 高血压社区综合防治效果的荟萃分析. 中华流行病学杂志, 2000, 21(3): 171-176.
26. Chen Z. Launch of the health-care reform plan in China. Lancet, 2009, 373(9672): 1322.
27. Jadad AR, Cook DJ, Jones A, et al. Methodology and reports of systematic reviews and meta-analyses: a comparison of Cochrane reviews with articles published in paper-based journals. JAMA, 1998, 280(3): 278-280.
28. Zhang J, Wang J, Han L, et al. Epidemiology, quality, and reporting characteristics of systematic reviews and meta-analyses of nursing interventions published in Chinese journals. Nurs Outlook, 2015, 63(4): 446.
29. Ma B, Qi GQ, Lin XT, et al. Epidemiology, quality, and reporting characteristics of systematic reviews of acupuncture interventions published in Chinese journals. J Altern Complem Med, 2012, 18(9): 813.

Chinese Journal of Evidence-Based Medicine

Quality assessment of systematic reviews on community interventions in China

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