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

Identifieur interne : 000999 ( Pmc/Corpus ); précédent : 000998

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

Auteurs : Frank Pega ; Sze Yan Liu ; Stefan Walter ; Roman Pabayo ; Ruhi Saith ; Stefan K. Lhachimi

Source :

RBID : PMC:6486161

Abstract

AbstractBackground

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.


Url:
DOI: 10.1002/14651858.CD011135.pub2
PubMed: 29139110
PubMed Central: 6486161

Links to Exploration step

PMC:6486161

Le document en format XML

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<title>Background</title>
<p>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.</p>
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<sec id="CD011135-abs1-0002">
<title>Objectives</title>
<p>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.</p>
</sec>
<sec id="CD011135-abs1-0003">
<title>Search methods</title>
<p>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.</p>
</sec>
<sec id="CD011135-abs1-0004">
<title>Selection criteria</title>
<p>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.</p>
</sec>
<sec id="CD011135-abs1-0005">
<title>Data collection and analysis</title>
<p>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.</p>
</sec>
<sec id="CD011135-abs1-0006">
<title>Main results</title>
<p>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.</p>
<p>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.</p>
</sec>
<sec id="CD011135-abs1-0007">
<title>Authors' conclusions</title>
<p>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.</p>
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<article-title>Unconditional cash transfers for reducing poverty and vulnerabilities: effect on use of health services and health outcomes in low‐ and middle‐income countries</article-title>
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<name>
<surname>Pega</surname>
<given-names>Frank</given-names>
</name>
<address>
<email>frankpega7@gmail.com</email>
<email>pegaf@who.int</email>
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<xref ref-type="aff" rid="CD011135-aff-0001"></xref>
</contrib>
<contrib id="d20e194" contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Sze Yan</given-names>
</name>
<xref ref-type="aff" rid="CD011135-aff-0002"></xref>
<xref ref-type="aff" rid="CD011135-aff-0003"></xref>
</contrib>
<contrib id="d20e198" contrib-type="author">
<name>
<surname>Walter</surname>
<given-names>Stefan</given-names>
</name>
<xref ref-type="aff" rid="CD011135-aff-0004"></xref>
</contrib>
<contrib id="d20e202" contrib-type="author">
<name>
<surname>Pabayo</surname>
<given-names>Roman</given-names>
</name>
<xref ref-type="aff" rid="CD011135-aff-0005"></xref>
<xref ref-type="aff" rid="CD011135-aff-0006"></xref>
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<name>
<surname>Saith</surname>
<given-names>Ruhi</given-names>
</name>
<xref ref-type="aff" rid="CD011135-aff-0007"></xref>
</contrib>
<contrib id="d20e210" contrib-type="author">
<name>
<surname>Lhachimi</surname>
<given-names>Stefan K</given-names>
</name>
<xref ref-type="aff" rid="CD011135-aff-0008"></xref>
</contrib>
<contrib id="d20e221" contrib-type="editor">
<collab collab-type="editors">Cochrane Public Health Group</collab>
</contrib>
</contrib-group>
<aff id="CD011135-aff-0001">
<institution>University of Otago</institution>
<institution content-type="dept">Public Health</institution>
<addr-line>23A Mein Street, Newtown</addr-line>
<city>Wellington</city>
<country>New Zealand</country>
<postal-code>6242</postal-code>
</aff>
<aff id="CD011135-aff-0002">
<institution>Harvard University</institution>
<institution content-type="dept">Harvard Center for Population and Development Studies</institution>
<city>Cambridge</city>
<state>MA</state>
<country>USA</country>
</aff>
<aff id="CD011135-aff-0003">
<institution>Weill Cornell Medical College, Cornell University</institution>
<institution content-type="dept">Healthcare Policy and Research</institution>
<city>New York</city>
<state>NY</state>
<country>USA</country>
</aff>
<aff id="CD011135-aff-0004">
<institution>University of California, San Francisco</institution>
<institution content-type="dept">Epidemiology and Biostatistics</institution>
<addr-line>185 Berry St</addr-line>
<city>San Francisco</city>
<state>CA</state>
<country>USA</country>
<postal-code>94107</postal-code>
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<institution>Harvard TH Chan School of Public Health</institution>
<institution content-type="dept">Social and Behavioral Sciences</institution>
<addr-line>677 Huntington Avenue</addr-line>
<city>Boston</city>
<state>MA</state>
<country>USA</country>
<postal-code>02215</postal-code>
</aff>
<aff id="CD011135-aff-0006">
<institution>University of Alberta</institution>
<institution content-type="dept">School of Public Health</institution>
<city>Edmonton</city>
<state>Alberta</state>
<country>Canada</country>
</aff>
<aff id="CD011135-aff-0007">
<institution>New Delhi</institution>
<institution content-type="dept">Oxford Policy Management</institution>
<city>New Delhi</city>
<country>India</country>
</aff>
<aff id="CD011135-aff-0008">
<institution>Leibniz Institute for Prevention Research and Epidemiology</institution>
<institution content-type="dept">Research Group for Evidence‐Based Public Health</institution>
<addr-line>Achterstr. 30</addr-line>
<city>Bremen</city>
<country>Germany</country>
<postal-code>28359</postal-code>
</aff>
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<day>15</day>
<month>11</month>
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<month>11</month>
<year>2017</year>
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<pub-date pub-type="update">
<day>16</day>
<month>4</month>
<year>2020</year>
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<volume>2017</volume>
<issue>11</issue>
<elocation-id>CD011135</elocation-id>
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<copyright-statement>Copyright © 2020 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.</copyright-statement>
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<related-article related-article-type="updated-article" ext-link-type="doi" xlink:href="10.1002/14651858.CD011135" id="d20e38"></related-article>
<abstract>
<title>Abstract</title>
<sec id="CD011135-abs1-0001">
<title>Background</title>
<p>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.</p>
</sec>
<sec id="CD011135-abs1-0002">
<title>Objectives</title>
<p>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.</p>
</sec>
<sec id="CD011135-abs1-0003">
<title>Search methods</title>
<p>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.</p>
</sec>
<sec id="CD011135-abs1-0004">
<title>Selection criteria</title>
<p>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.</p>
</sec>
<sec id="CD011135-abs1-0005">
<title>Data collection and analysis</title>
<p>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.</p>
</sec>
<sec id="CD011135-abs1-0006">
<title>Main results</title>
<p>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.</p>
<p>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.</p>
</sec>
<sec id="CD011135-abs1-0007">
<title>Authors' conclusions</title>
<p>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.</p>
</sec>
</abstract>
<abstract abstract-type="short">
<title>Plain language summary</title>
<p>
<bold>Unconditional cash transfers for reducing poverty: effect on health services use and health outcomes in low‐ and middle‐income countries</bold>
</p>
<p>
<bold>Review question</bold>
</p>
<p>Some programmes provide cash transfers or grants for reducing poverty and vulnerabilities without imposing any obligations on the recipients ('unconditional cash transfers', or UCTs) in low‐ and middle‐income countries (LMICs). Other times, people can only receive these cash transfers if they engage in required behaviours, such as using health services or sending their children to school ('conditional cash transfers', or CCTs). This review aimed to find out whether receiving UCTs would improve people's use of health services and their health outcomes, compared with not receiving a UCT, receiving a smaller UCT amount or receiving a CCT. It also aimed to assess the effects of UCTs on daily living conditions that determine health and healthcare spending.</p>
<p>
<bold>Background</bold>
</p>
<p>UCTs are a type of social protection intervention that addresses income. It is unknown whether UCTs are more, less or equally as effective as CCTs. We reviewed the evidence on the effect of UCTs on health service use and health outcomes among children and adults in LMICs.</p>
<p>
<bold>Study characteristics</bold>
</p>
<p>The evidence is current to May 2017. We included experimental and selected non‐experimental studies of UCTs in people of all ages in LMICs. We included studies that compared participants who received a UCT with those who received no UCT. We looked for studies that examined health services use and health outcomes.</p>
<p>We found 21 studies (16 experimental and 5 non‐experimental ones) with 1,092,877 participants (36,068 children and 1,056,809 adults) and 31,865 households in Africa, the Americas and South‐East Asia. The UCTs were government programmes or research experiments. Most studies were funded by national governments and/or international organisations.</p>
<p>
<bold>Key results</bold>
</p>
<p>We use the words 'probably' to indicate moderate‐quality evidence, 'may/maybe' for low‐quality evidence, and 'uncertain' for very low‐quality evidence. A UCT may not impact the likelihood of having used any health service in the previous 1 to 12 months. UCTs probably led to a clinically meaningful, very large reduction in the risk of having had any illness in the previous two weeks to three months. They may increase the likelihood of having had secure access to food over the previous month. They may also increase the average number of different food groups consumed in the household over the previous week. Despite several studies providing relevant evidence, the effects of UCTs on the likelihood of stunting and on depression levels remain uncertain. No study estimated effects on dying. UCTs probably led to a clinically meaningful, moderate increase in the likelihood of currently attending school. The evidence was uncertain for whether UCTs impacted livestock ownership, extreme poverty, participation in child labour, adult employment and parenting quality. UCTs may increase the amount of money spent on health care. The effects of UCTs on differences in health were very uncertain. We did not identify any harms from UCTs. Three experimental studies reported evidence on the impact of a UCT compared with a CCT on the likelihood of having used any health services, the likelihood of having had any illness or the average number of food groups consumed in the household, but evidence was limited to one study per outcome and was very uncertain for all three.</p>
<p>
<bold>Quality of the evidence</bold>
</p>
<p>Of the seven prioritised primary outcomes, the body of evidence for one outcome was of moderate quality, for three outcomes of low quality, for two outcomes of very low quality, and for one outcome, there was no evidence at all.</p>
<p>
<bold>Conclusions</bold>
</p>
<p>This body of evidence suggests that unconditional cash transfer (UCTs) may not impact health services use among children and adults in LMICs. UCTs probably or may improve some health outcomes (i.e. the likelihood of having had any illness, the likelihood of having secure access to food, and diversity in one's diet), one social determinant of health (i.e. the likelihood of attending school), and healthcare expenditure. The evidence on the health effects of UCTs compared with those of CCTs is uncertain.</p>
</abstract>
</article-meta>
<notes notes-type="status-note">
<p>Edited (no change to conclusions)</p>
</notes>
</front>
</pmc>
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