CoChat
Sign Up
Cited by 397Insurance, Mortality, Demography, Risk ManagementHealthcare Systems and Public HealthGlobal Cancer Incidence and Screening

The DOI matches its Crossref record; 25 of the 26 references it cites were found in a registry or an index.

An integrated national mortality surveillance system for death registration and mortality surveillance, China

Open access
Liu, Shiwei, Wu, Xiaoling, Lopez, Alan D, Wang, Lijun, Cai, Yue, Page, Andrew, Yin, Peng, Liu, Yunning, Li, Yichong, Liu, Jiangmei, You, Jinling, Zhou, Maigeng·2016·Bulletin of the World Health Organization
DOI 10.2471/blt.15.153148PMC PMC4709796
Open this paper in CoChat — free account

Abstract

In China, sample-based mortality surveillance systems, such as the Chinese Center for Disease Control and Prevention's disease surveillance points system and the Ministry of Health's vital registration system, have been used for decades to provide nationally representative data on health status for health-care decision-making and performance evaluation. However, neither system provided representative mortality and cause-of-death data at the provincial level to inform regional health service needs and policy priorities. Moreover, the systems overlapped to a considerable extent, thereby entailing a duplication of effort. In 2013, the Chinese Government combined these two systems into an integrated national mortality surveillance system to provide a provincially representative picture of total and cause-specific mortality and to accelerate the development of a comprehensive vital registration and mortality surveillance system for the whole country. This new system increased the surveillance population from 6 to 24% of the Chinese population. The number of surveillance points, each of which covered a district or county, increased from 161 to 605. To ensure representativeness at the provincial level, the 605 surveillance points were selected to cover China's 31 provinces using an iterative method involving multistage stratification that took into account the sociodemographic characteristics of the population. This paper describes the development and operation of the new national mortality surveillance system, which is expected to yield representative provincial estimates of mortality in China for the first time.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2471/blt.15.153148

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 Selectiona of points in the national mortality surveillance system in each province, China, 2013
Fig. 1 Selectiona of points in the national mortality surveillance system in each province, China, 2013CC BY · PubMed Central
Fig. 2 Surveillance points, national mortality surveillance system, China, 2013
Fig. 2 Surveillance points, national mortality surveillance system, China, 2013CC BY · PubMed Central
Fig. 3 Urbanization, population size and mortality rate, China, 2013
Fig. 3 Urbanization, population size and mortality rate, China, 2013CC BY · PubMed Central
Fig. 4 Stratificationa of counties and districts in each province for the development of the national mortality surveillance system, China
Fig. 4 Stratificationa of counties and districts in each province for the development of the national mortality surveillance system, ChinaCC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 26 references

Research works printed but not linked: 5

  1. 2012, Strengthening civil registration and vital statistics for births, deaths and causes of death: resource kit.
  2. 1992, International statistical classification of diseases and related health problems, 10th revision.
  3. Hu, 2012, Weighting method for Chinese chronic disease surveillance in 2010.], Zhongguo wei sheng tong ji., 29, 424
  4. 2013, Report of cause-of-death surveillance in China 2012.
  5. Rao, 2005, Evaluating national cause-of-death statistics: principles and application to the case of China., Bull World Health Organ, 83, 618

Cited by

Sorted by citations

Items 201–300 of 397

Related

See all

Metadata

Authors
Liu, S., Wu, X., Lopez, A. D., Wang, L., Cai, Y., Page, A., Yin, P., Liu, Y., Li, Y., Liu, J., You, J., & Zhou, M.
Affiliations
  • Chinese Center For Disease Control and Prevention (CN)
  • National Health and Family Planning Commission (CN)
  • School of Population and Global Health, University of Melbourne, Melbourne, Australia.
  • Western Sydney University (AU)
  • National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
Corresponding author
Zhou, Maigeng
ORCID
Venue
Bulletin of the World Health Organization
Publisher
WHO Press
Published
2015-10-28
Volume
94
Issue
1
Pages
46-57
ISSN
0042-9686 (ISSN-L)
DOI
10.2471/blt.15.153148
PMC
PMC4709796
OpenAlex
W2417066833
Cited by
395
References
26
Citations by year
2026: 41 · 2025: 50 · 2024: 63 · 2023: 55 · 2022: 47 · 2021: 42 · 2020: 35 · 2019: 26 · 2018: 22 · 2017: 8 · 2016: 6
FWCI
30.46
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Bulletin of the World Health Organization (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
Funders
Centers for Disease Control and Prevention
Topics
  • Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
  • Health Sciences › Medicine › Epidemiology › Healthcare Systems and Public Health
  • Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
Keywords
mortality surveillance, death registration, integrated surveillance systems, cause-specific mortality, civil registration, China
MeSH terms
Cause of Death, China, Death Certificates, Humans, Population Surveillance, International Classification of Diseases, History, 20th Century, History, 21st Century, Clinical Coding

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review