Evidence map›Paper›PMID 33920527›Full record

ArticleInternational journal of environmental research and public health2021

Are Essential Women's Healthcare Services Fully Covered? A Comparative Analysis of Policy Documents in Shanghai and New York City from 1978-2017.

Qingyu Zhou, Qinwen Yu, Xin Wang, Peiwu Shi, Qunhong Shen, Zhaoyang Zhang, Zheng Chen, Chuan Pu, Lingzhong Xu, Zhi Hu and 10 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

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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

20 authors.

Qingyu ZhouResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.ORCID 0000-0002-5409-4810
Qinwen YuResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.
Xin WangResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.
Peiwu ShiCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Qunhong ShenCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Zhaoyang ZhangCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Zheng ChenCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Chuan PuCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Lingzhong XuCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Zhi HuCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Anning MaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Zhaohui GongCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Tianqiang XuCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Panshi WangCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Hua WangCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Chao HaoCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Li LiResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.
Xiang GaoResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.
Chengyue LiResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.
Mo HaoResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to analyze the changes in the 10 major categories of women's healthcare services (WHSs) in Shanghai (SH) and New York City (NYC) from 1978 to 2017, and examine the relationship between these changes and maternal mortality ratio (MMR). Content analysis of available public policy documents concerning women's health was conducted. Two indicators were designed to represent the delivery of WHSs: The essential women's healthcare service coverage rate (ESCR) and the assessable essential healthcare service coverage rate (AESCR). Spearman correlation was used to analyze the relationship between the two indicators and MMR. In SH, the ESCR increased from 10% to 90%, AESCR increased from 0% to 90%, and MMR decreased from 24.0/100,000 to 1.01/100,000. In NYC, the ESCR increased from 0% to 80%, the AESCR increased from 0% to 60%, and the MMR decreased from 24.7/100,000 to 21.4/100,000. The MMR significantly decreased as both indicators increased (

Indexed as

Delivery of Health CareHealth ServicesChinaCitiesFemaleHumansNew York CityPolicymaternal mortality ratioNew York Cityservice assessmentservice coverageShanghaiwomen’s healthcare

Identifiers

PMID33920527
PMCPMC8072775

What OpenQuestion holds

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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.