Evidence map›Paper›PMID 32503554›Full record

ArticleBMC public health2020

Conditional cash transfers, uptake of maternal and child health services, and health outcomes in western rural China.

Huan Zhou, Yuju Wu, Chengfang Liu, Chang Sun, Yaojiang Shi, Linxiu Zhang, Alexis Medina, Scott Rozelle

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Inhibitors and facilitators to the utilization of postpartum care in China: an integrative review.Archives of public health = Archives belges de sante publique · 2022
    Pooled it
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  12. Structural Determinants of Child Health in Rural China: The Challenge of Creating Health Equity.International journal of environmental research and public health · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Huan ZhouWest China School of Public Health and West China Forth Hospital, Sichuan University, Chengdu, China.
Yuju WuWest China School of Public Health and West China Forth Hospital, Sichuan University, Chengdu, China.
Chengfang LiuChina Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Beijing, China. cfliu.ccap@pku.edu.cn.ORCID http://orcid.org/0000-0002-3399-5978
Chang SunWest China School of Public Health and West China Forth Hospital, Sichuan University, Chengdu, China.
Yaojiang ShiCenter for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China.
Linxiu ZhangCenter for Chinese Agricultural Policy, Institute of Geographical Sciences and Natural Resource Research, Chinese Academy of Sciences, Beijing, China.
Alexis MedinaFreeman Spogli Institute for International Studies, Stanford University, Palo Alto, California, USA.
Scott RozelleFreeman Spogli Institute for International Studies, Stanford University, Palo Alto, California, USA.

Funding

China Medical Board 12-118Major International Joint Research Programme 71861147003West China Hospital, Sichuan University skqy201537
6 · The paper itself

Abstract

backgroundEmpirical evidence suggests that the uptake of maternal and child health (MCH) services is still low in poor rural areas of China. There is concern that this low uptake may detrimentally affect child health outcomes. Previous studies have not yet identified the exact nature of the impact that a conditional cash transfer (CCT) has on the uptake of MCH services and, ultimately, on child health outcomes. The objective of this study is to examine the relationship between CCT, uptake of MCH services, and health outcomes among children in poor rural areas of western China.

methodsWe designated two different sets of villages and households that were used as comparisons against which outcomes of the treated households could be assessed. In 2014, we conducted a large-scale survey of 1522 households in 75 villages (including 25 treatment and 50 comparison) from nine nationally designated poverty counties in two provinces of China. In each village, 21 households were selected based on their eligibility status for the CCT program. Difference-in-difference analyses were used to assess the impact of CCT on outcomes in terms of both intention-to-treat (ITT) and average-treatment-effects-on-the-treated (ATT).

resultsOverall, the uptake of MCH services in the sample households were low, especially in terms of postpartum care visits, early breastfeeding, exclusive breastfeeding, and physical examination of the baby. The uptake of the seven types of MCH services in the CCT treatment villages were significantly higher than that in the comparison villages. The results from both the ITT and ATT analyses showed that the CCT program had a positive, although small, impact on the uptake of MCH services and the knowledge of mothers of MCH health issues. Nonetheless, the CCT program had no noticeable effect on child health outcomes.

conclusionsThe CCT program generated modest improvements in the uptake of MCH services and mothers' knowledge of MCH services in poor rural areas of Western China. These improvements, however, did not translate into substantial improvements in child health outcomes for two potential reasons: poor CCT implementation and the low quality of rural health facilities.

Indexed as

AdultChildChild, PreschoolChinaFemaleHealth FacilitiesHumansInfantInfant, NewbornMaternal-Child Health ServicesMedical AssistanceMothersOutcome Assessment, Health CarePatient Acceptance of Health CarePregnancyProgram EvaluationConditional cash transferImpact evaluationMaternal and child healthWestern rural China

Identifiers

PMID32503554
PMCPMC7275386

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.