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用于减少贫困和脆弱性的无条件现金转移:对低收入和中等收入国家卫生服务利用及健康结果的影响

Unconditional cash transfers for reducing poverty and vulnerabilities: effect on use of health services and health outcomes in low- and middle-income countries.

作者信息

Pega Frank, Liu Sze Yan, Walter Stefan, Pabayo Roman, Saith Ruhi, Lhachimi Stefan K

机构信息

Public Health, University of Otago, 23A Mein Street, Newtown, Wellington, New Zealand, 6242.

出版信息

Cochrane Database Syst Rev. 2017 Nov 15;11(11):CD011135. doi: 10.1002/14651858.CD011135.pub2.

Abstract

BACKGROUND

Unconditional cash transfers (UCTs; provided without obligation) for reducing poverty and vulnerabilities (e.g. orphanhood, old age or HIV infection) are a type of social protection intervention that addresses a key social determinant of health (income) in low- and middle-income countries (LMICs). The relative effectiveness of UCTs compared with conditional cash transfers (CCTs; provided so long as the recipient engages in prescribed behaviours such as using a health service or attending school) is unknown.

OBJECTIVES

To assess the effects of UCTs for improving health services use and health outcomes in vulnerable children and adults in LMICs. Secondary objectives are to assess the effects of UCTs on social determinants of health and healthcare expenditure and to compare to effects of UCTs versus CCTs.

SEARCH METHODS

We searched 17 electronic academic databases, including the Cochrane Public Health Group Specialised Register, the Cochrane Database of Systematic Reviews (the Cochrane Library 2017, Issue 5), MEDLINE and Embase, in May 2017. We also searched six electronic grey literature databases and websites of key organisations, handsearched key journals and included records, and sought expert advice.

SELECTION CRITERIA

We included both parallel group and cluster-randomised controlled trials (RCTs), quasi-RCTs, cohort and controlled before-and-after (CBAs) studies, and interrupted time series studies of UCT interventions in children (0 to 17 years) and adults (18 years or older) in LMICs. Comparison groups received either no UCT or a smaller UCT. Our primary outcomes were any health services use or health outcome.

DATA COLLECTION AND ANALYSIS

Two reviewers independently screened potentially relevant records for inclusion criteria, extracted data and assessed the risk of bias. We tried to obtain missing data from study authors if feasible. For cluster-RCTs, we generally calculated risk ratios for dichotomous outcomes from crude frequency measures in approximately correct analyses. Meta-analyses applied the inverse variance or Mantel-Haenszel method with random effects. We assessed the quality of evidence using the GRADE approach.

MAIN RESULTS

We included 21 studies (16 cluster-RCTs, 4 CBAs and 1 cohort study) involving 1,092,877 participants (36,068 children and 1,056,809 adults) and 31,865 households in Africa, the Americas and South-East Asia in our meta-analyses and narrative synthesis. The 17 types of UCTs we identified, including one basic universal income intervention, were pilot or established government programmes or research experiments. The cash value was equivalent to 1.3% to 53.9% of the annualised gross domestic product per capita. All studies compared a UCT with no UCT, and three studies also compared a UCT with a CCT. Most studies carried an overall high risk of bias (i.e. often selection and/or performance bias). Most studies were funded by national governments and/or international organisations.Throughout the review, we use the words 'probably' to indicate moderate-quality evidence, 'may/maybe' for low-quality evidence, and 'uncertain' for very low-quality evidence. UCTs may not have impacted the likelihood of having used any health service in the previous 1 to 12 months, when participants were followed up between 12 and 24 months into the intervention (risk ratio (RR) 1.04, 95% confidence interval (CI) 1.00 to 1.09, P = 0.07, 5 cluster-RCTs, N = 4972, I² = 2%, low-quality evidence). At one to two years, UCTs probably led to a clinically meaningful, very large reduction in the likelihood of having had any illness in the previous two weeks to three months (odds ratio (OR) 0.73, 95% CI 0.57 to 0.93, 5 cluster-RCTs, N = 8446, I² = 57%, moderate-quality evidence). Evidence from five cluster-RCTs on food security was too inconsistent to be combined in a meta-analysis, but it suggested that at 13 to 24 months' follow-up, UCTs could increase the likelihood of having been food secure over the previous month (low-quality evidence). UCTs may have increased participants' level of dietary diversity over the previous week, when assessed with the Household Dietary Diversity Score and followed up 24 months into the intervention (mean difference (MD) 0.59 food categories, 95% CI 0.18 to 1.01, 4 cluster-RCTs, N = 9347, I² = 79%, low-quality evidence). Despite several studies providing relevant evidence, the effects of UCTs on the likelihood of being moderately stunted and on the level of depression remain uncertain. No evidence was available on the effect of a UCT on the likelihood of having died. UCTs probably led to a clinically meaningful, moderate increase in the likelihood of currently attending school, when assessed at 12 to 24 months into the intervention (RR 1.06, 95% CI 1.03 to 1.09, 6 cluster-RCTs, N = 4800, I² = 0%, moderate-quality evidence). The evidence was uncertain for whether UCTs impacted livestock ownership, extreme poverty, participation in child labour, adult employment or parenting quality. Evidence from six cluster-RCTs on healthcare expenditure was too inconsistent to be combined in a meta-analysis, but it suggested that UCTs may have increased the amount of money spent on health care at 7 to 24 months into the intervention (low-quality evidence). The effects of UCTs on health equity (or unfair and remedial health inequalities) were very uncertain. We did not identify any harms from UCTs. Three cluster-RCTs compared UCTs versus CCTs with regard to the likelihood of having used any health services, the likelihood of having had any illness or the level of dietary diversity, but evidence was limited to one study per outcome and was very uncertain for all three.

AUTHORS' CONCLUSIONS: This body of evidence suggests that unconditional cash transfers (UCTs) may not impact a summary measure of health service use in children and adults in LMICs. However, UCTs probably or may improve some health outcomes (i.e. the likelihood of having had any illness, the likelihood of having been food secure, and the level of dietary diversity), one social determinant of health (i.e. the likelihood of attending school), and healthcare expenditure. The evidence on the relative effectiveness of UCTs and CCTs remains very uncertain.

摘要

背景

无条件现金转移(UCTs;无偿提供)作为一种社会保护干预措施,旨在减少贫困和脆弱性(如孤儿、老年人或艾滋病毒感染),解决低收入和中等收入国家(LMICs)健康的一个关键社会决定因素(收入)。与有条件现金转移(CCTs;只要受助者参与规定行为,如使用医疗服务或上学,就提供现金转移)相比,UCTs的相对有效性尚不清楚。

目的

评估UCTs对改善LMICs脆弱儿童和成人的医疗服务利用和健康结果的影响。次要目的是评估UCTs对健康的社会决定因素和医疗支出的影响,并将UCTs与CCTs的效果进行比较。

检索方法

2017年5月,我们检索了17个电子学术数据库,包括Cochrane公共卫生小组专业注册库、Cochrane系统评价数据库(Cochrane图书馆2017年第5期)、MEDLINE和Embase。我们还检索了6个电子灰色文献数据库和关键组织的网站,手工检索了关键期刊并纳入记录,并寻求专家建议。

入选标准

我们纳入了平行组和整群随机对照试验(RCTs)、准RCTs、队列研究和前后对照(CBAs)研究,以及对LMICs中儿童(0至17岁)和成人(18岁及以上)进行UCT干预的中断时间序列研究。对照组要么未接受UCT,要么接受金额较小的UCT。我们的主要结局是任何医疗服务利用或健康结果。

数据收集与分析

两名评价员独立筛选潜在相关记录的纳入标准,提取数据并评估偏倚风险。如果可行,我们试图从研究作者处获取缺失数据。对于整群RCTs,我们通常在近似正确的分析中,从粗略频率测量中计算二分结局的风险比。Meta分析采用随机效应的逆方差或Mantel-Haenszel方法。我们使用GRADE方法评估证据质量。

主要结果

我们的Meta分析和叙述性综述纳入了21项研究(16项整群RCTs、4项CBAs和1项队列研究),涉及非洲(1个国家)、美洲(2个国家)和东南亚(1个国家)的1,092,877名参与者(36,068名儿童和1,056,809名成人)和31,865户家庭。我们确定的17种UCTs类型,包括一项基本普遍收入干预措施,均为试点或既定的政府项目或研究实验。现金价值相当于人均国内生产总值年化的1.3%至53.9%。所有研究均将UCT与无UCT进行比较,三项研究还将UCT与CCT进行了比较。大多数研究总体偏倚风险较高(即通常存在选择和/或实施偏倚)。大多数研究由国家政府和/或国际组织资助。在整个综述中,我们使用“可能”一词表示中等质量的证据,“可能/也许”表示低质量的证据,“不确定”表示极低质量的证据。在干预12至2个月期间对参与者进行随访时,UCTs可能不会影响在过去1至12个月内使用任何医疗服务的可能性(风险比(RR)1.04,95%置信区间(CI)1.00至1.09,P = 0.07,5项整群RCTs,N = 4972,I² = 2%,低质量证据)。在1至2年时,UCTs可能导致在过去两周至三个月内患任何疾病可能性的临床显著且非常大的降低(优势比(OR)0.73,95%CI 0.57至0.93,5项整群RCTs,N = 8446,I² = 57%,中等质量证据)。来自5项整群RCTs关于粮食安全的证据过于不一致,无法合并进行Meta分析,但表明在13至24个月的随访中,UCTs可能会增加过去一个月粮食安全的可能性(低质量证据)。当使用家庭饮食多样性评分进行评估并在干预24个月时进行随访时,UCTs可能会增加参与者过去一周的饮食多样性水平(平均差(MD)0.59个食物类别,95%CI 0.18至1.01,4项整群RCTs,N = 9347,I² = 79%,低质量证据)。尽管有几项研究提供了相关证据,但UCTs对中度发育迟缓可能性和抑郁水平的影响仍不确定。没有关于UCT对死亡可能性影响的证据。在干预12至24个月时进行评估,UCTs可能会导致目前上学可能性的临床显著且适度增加(RR 1.06,95%CI 1.03至1.09,6项整群RCTs,N = 4800,I² = 0%,中等质量证据)。关于UCTs是否影响牲畜所有权、极端贫困、童工参与、成人就业或育儿质量的证据不确定。来自6项整群RCTs关于医疗支出的证据过于不一致,无法合并进行Meta分析,但表明在干预7至24个月时,UCTs可能会增加医疗保健支出(低质量证据)。UCTs对健康公平(或不公平和补救性健康不平等)的影响非常不确定。我们未发现UCTs有任何危害。三项整群RCTs比较了UCTs与CCTs在使用任何医疗服务的可能性、患任何疾病的可能性或饮食多样性水平方面的差异,但每项结局的证据仅限于一项研究,且对所有三项结局都非常不确定。

作者结论

这组证据表明,无条件现金转移(UCTs)可能不会影响LMICs儿童和成人医疗服务利用的汇总指标。然而,UCTs可能或也许会改善一些健康结果(即患任何疾病的可能性、粮食安全的可能性和饮食多样性水平)、一个健康的社会决定因素(即上学的可能性)和医疗支出。关于UCTs和CCTs相对有效性的证据仍然非常不确定。

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