Evidence map›Paper›PMID 34627289›Full record

SynthesisHuman resources for health2021

A systematic review of the profile and density of the maternal and child health workforce in China.

Huan Zhang, Xiaoyun Liu, Loveday Penn-Kekana, Carine Ronsmans

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Human resources for health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Huan ZhangDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, WC1E 7HT, London, United Kingdom. huan.zhang@lshtm.ac.uk.ORCID 0000-0002-7869-3009
Xiaoyun LiuPeking University China Centre for Health Development Studies, Beijing, China.
Loveday Penn-KekanaDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, WC1E 7HT, London, United Kingdom.
Carine RonsmansDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, WC1E 7HT, London, United Kingdom.
London School of Hygiene & Tropical Medicine · GBPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo track progress in maternal and child health (MCH), understanding the health workforce is important. This study seeks to systematically review evidence on the profile and density of MCH workers in China.

methodsWe searched 6 English and 2 Chinese databases for studies published between 1 October 1949 and 20 July 2020. We included studies that reported on the level of education or the certification status of all the MCH workers in one or more health facilities and studies reporting the density of MCH workers per 100 000 population or per 1000 births. MCH workers were defined as those who provided MCH services in mainland China and had been trained formally or informally.

resultsMeta-analysis of 35 studies found that only two-thirds of obstetricians and paediatricians (67%, 95% CI: 59.6-74.3%) had a bachelor or higher degree. This proportion was lower in primary-level facilities (28% (1.5-53.9%)). For nurses involved in MCH care the proportions with a bachelor or higher degree were lower (20.0% (12.0-30.0%) in any health facility and 1% (0.0-5.0%) in primary care facilities). Based on 18 studies, the average density of MCH doctors and nurses was 11.8 (95% CI: 7.5-16.2) and 11.4 (7.6-15.2) per 100 000 population, respectively. The average density of obstetricians was 9.0 (7.9-10.2) per 1000 births and that of obstetric nurses 16.0 (14.8-17.2) per 1000 births. The density of MCH workers is much higher than what has been recommended internationally (three doctors and 20 midwives per 3600 births).

conclusionsOur review suggests that the high density of MCH workers in China is achieved through a mix of workers with high and low educational profiles. Many workers labelled as "obstetricians" or "paediatrician" have lower qualifications than expected. China compensates for these low educational levels through task-shifting, in-service training and supervision.

Indexed as

Health WorkforceMidwiferyChildChinaDelivery of Health CareFemaleHealth PersonnelHumansPregnancyChinaHuman resources for healthMaternal and child healthSystematic review

Identifiers

PMID34627289
PMCPMC8501553
OpenAlexW3207373036

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.