Center for Research in Indigenous Health, Wuqu' Kawoq, Tecpán, Guatemala.
Division of Hospital Medicine, Department of Internal Medicine, National Clinician Scholars Program, University of Michigan, Ann Arbor, Michigan, United States of America.
PLoS Med. 2020 Nov 12;17(11):e1003434. doi: 10.1371/journal.pmed.1003434. eCollection 2020 Nov.
Effective health system interventions may help address the disproportionate burden of diabetes in low- and middle-income countries (LMICs). We assessed the impact of health system interventions to improve outcomes for adults with type 2 diabetes in LMICs.
We searched Ovid MEDLINE, Cochrane Library, EMBASE, African Index Medicus, LILACS, and Global Index Medicus from inception of each database through February 24, 2020. We included randomized controlled trials (RCTs) of health system interventions targeting adults with type 2 diabetes in LMICs. Eligible studies reported at least 1 of the following outcomes: glycemic change, mortality, quality of life, or cost-effectiveness. We conducted a meta-analysis for the glycemic outcome of hemoglobin A1c (HbA1c). GRADE and Cochrane Effective Practice and Organisation of Care methods were used to assess risk of bias for the glycemic outcome and to prepare a summary of findings table. Of the 12,921 references identified in searches, we included 39 studies in the narrative review of which 19 were cluster RCTs and 20 were individual RCTs. The greatest number of studies were conducted in the East Asia and Pacific region (n = 20) followed by South Asia (n = 7). There were 21,080 total participants enrolled across included studies and 10,060 total participants in the meta-analysis of HbA1c when accounting for the design effect of cluster RCTs. Non-glycemic outcomes of mortality, health-related quality of life, and cost-effectiveness had sparse data availability that precluded quantitative pooling. In the meta-analysis of HbA1c from 35 of the included studies, the mean difference was -0.46% (95% CI -0.60% to -0.31%, I2 87.8%, p < 0.001) overall, -0.37% (95% CI -0.64% to -0.10%, I2 60.0%, n = 7, p = 0.020) in multicomponent clinic-based interventions, -0.87% (-1.20% to -0.53%, I2 91.0%, n = 13, p < 0.001) in pharmacist task-sharing studies, and -0.27% (-0.50% to -0.04%, I2 64.1%, n = 7, p = 0.010) in trials of diabetes education or support alone. Other types of interventions had few included studies. Eight studies were at low risk of bias for the summary assessment of glycemic control, 15 studies were at unclear risk, and 16 studies were at high risk. The certainty of evidence for glycemic control by subgroup was moderate for multicomponent clinic-based interventions but was low or very low for other intervention types. Limitations include the lack of consensus definitions for health system interventions, differences in the quality of underlying studies, and sparse data availability for non-glycemic outcomes.
In this meta-analysis, we found that health system interventions for type 2 diabetes may be effective in improving glycemic control in LMICs, but few studies are available from rural areas or low- or lower-middle-income countries. Multicomponent clinic-based interventions had the strongest evidence for glycemic benefit among intervention types. Further research is needed to assess non-glycemic outcomes and to study implementation in rural and low-income settings.
有效的卫生系统干预措施可能有助于解决中低收入国家(LMICs)中糖尿病不成比例的负担。我们评估了改善 LMICs 中 2 型糖尿病成人结局的卫生系统干预措施的影响。
我们在每个数据库的初始阶段到 2020 年 2 月 24 日,通过 Ovid MEDLINE、Cochrane 图书馆、EMBASE、非洲医学索引、LILACS 和全球医学索引进行了检索。我们纳入了针对 LMICs 中 2 型糖尿病成人的卫生系统干预措施的随机对照试验(RCTs)。合格研究报告了以下至少 1 项结果:糖化血红蛋白(HbA1c)变化、死亡率、生活质量或成本效益。我们对 HbA1c 的血糖结局进行了 meta 分析。使用 GRADE 和 Cochrane 有效实践和组织护理方法来评估血糖结局的偏倚风险,并准备一个发现总结表。在搜索中发现的 12921 篇参考文献中,我们纳入了 39 项研究进行叙述性综述,其中 19 项为集群 RCT,20 项为个体 RCT。研究最多的地区是东亚和太平洋地区(n=20),其次是南亚(n=7)。在包括的研究中共有 21080 名参与者,当考虑到集群 RCT 的设计效果时,HbA1c 的 meta 分析中有 10060 名参与者。死亡率、健康相关生活质量和成本效益等非血糖结局的数据可用性稀疏,无法进行定量汇总。在 35 项纳入研究的 HbA1c 的 meta 分析中,平均差异为-0.46%(95%CI-0.60%至-0.31%,I2 87.8%,p<0.001),整体而言,多组分基于诊所的干预措施的平均差异为-0.37%(95%CI-0.64%至-0.10%,I2 60.0%,n=7,p=0.020),药剂师任务分担研究的平均差异为-0.87%(-1.20%至-0.53%,I2 91.0%,n=13,p<0.001),单独的糖尿病教育或支持的试验的平均差异为-0.27%(-0.50%至-0.04%,I2 64.1%,n=7,p=0.010)。其他类型的干预措施纳入的研究较少。八项研究在血糖控制的综合评估中风险较低,十五项研究风险不确定,十六项研究风险较高。亚组血糖控制证据的确定性为基于多组分诊所的干预措施为中度,但对于其他干预类型则为低或非常低。局限性包括缺乏对卫生系统干预措施的共识定义、基础研究质量的差异以及非血糖结局数据的稀疏性。
在这项 meta 分析中,我们发现针对 2 型糖尿病的卫生系统干预措施可能有助于改善 LMICs 的血糖控制,但来自农村地区或低收入和中下收入国家的研究较少。基于多组分诊所的干预措施在血糖获益方面具有最强的证据。需要进一步研究来评估非血糖结局,并研究在农村和低收入环境中的实施情况。