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About:
Capacity assessment of the health laboratory system in two resource-limited provinces in China
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covidontheweb.inria.fr
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Academic Article
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schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Capacity assessment of the health laboratory system in two resource-limited provinces in China
Creator
Zhou, Yan
Wang, Dingming
Klena, John
Liu, Bo
Kan, Biao
Yan, Meiying
Liu, Xin
Liu, Xiaoyu
Tang, Guangpeng
Rainey, Jeanette
Wang, Mingliu
Zhao, Chihong
Source
PMC
abstract
BACKGROUND: Strong laboratory capacity is essential for detecting and responding to emerging and re-emerging global health threats. We conducted a quantitative laboratory assessment during 2014–2015 in two resource-limited provinces in southern China, Guangxi and Guizhou in order to guide strategies for strengthening core capacities as required by the International Health Regulations (IHR 2005). METHODS: We selected 28 public health and clinical laboratories from the provincial, prefecture and county levels through a quasi-random sampling approach. The 11-module World Health Organization (WHO) laboratory assessment tool was adapted to the local context in China. At each laboratory, modules were scored 0–100% through a combination of paper surveys, in-person interviews, and visual inspections. We defined module scores as strong (> = 85%), good (70–84%), weak (50–69%), and very weak (< 50%). We estimated overall capacity and compared module scores across the provincial, prefecture, and county levels. RESULTS: Overall, laboratories in both provinces received strong or good scores for 10 of the 11 modules. These findings were primarily driven by strong and good scores from the two provincial level laboratories; prefecture and county laboratories were strong or good for only 8 and 6 modules, respectively. County laboratories received weak scores in 4 modules. The module, ‘Public Health Functions’ (e.g., surveillance and reporting practices) lagged far behind all other modules (mean score = 46%) across all three administrative levels. Findings across the two provinces were similar. CONCLUSIONS: Laboratories in Guangxi and Guizhou are generally performing well in laboratory capacity as required by IHR. However, we recommend targeted interventions particularly for county-level laboratories, where we identified a number of gaps. Given the importance of surveillance and reporting, addressing gaps in public health functions is likely to have the greatest positive impact for IHR requirements. The quantitative WHO laboratory assessment tool was useful in identifying both comparative strengths and weaknesses. However, prior to future assessments, the tool may need to be aligned with the new WHO IHR monitoring and evaluation framework. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-6777-2) contains supplementary material, which is available to authorized users.
has issue date
2019-05-10
(
xsd:dateTime
)
bibo:doi
10.1186/s12889-019-6777-2
bibo:pmid
32326939
has license
cc-by
sha1sum (hex)
2353e3d192e89ff7e5e2d507ddfb7edac70265e2
schema:url
https://doi.org/10.1186/s12889-019-6777-2
resource representing a document's title
Capacity assessment of the health laboratory system in two resource-limited provinces in China
has PubMed Central identifier
PMC6696693
has PubMed identifier
32326939
schema:publication
BMC Public Health
resource representing a document's body
covid:2353e3d192e89ff7e5e2d507ddfb7edac70265e2#body_text
is
schema:about
of
named entity 'China'
named entity 'Background'
named entity 'These'
named entity 'laboratory'
named entity 'Functions'
named entity 'However'
named entity 'context'
named entity 'IHR'
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named entity 'IHR'
named entity 'scores'
named entity 'tool'
named entity 'inspections'
named entity 'public health'
named entity 'received'
named entity 'Guangxi'
named entity 'laboratories'
named entity 'level'
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named entity 'module'
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named entity 'defined'
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named entity 'China'
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named entity 'China'
named entity 'quantitative laboratory'
named entity 'global health'
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named entity 'public health'
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named entity 'China'
named entity 'Guangxi'
named entity 'pathogen'
named entity 'Human Subjects Research'
named entity 'public health'
named entity 'Guangxi'
named entity 'IHR'
named entity 'epidemiological'
named entity 'Food Testing'
named entity 'Laboratory testing'
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named entity 'public health'
named entity 'China CDC'
named entity 'viruses'
named entity 'China CDC'
named entity 'New York'
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named entity 'biosafety'
named entity 'IHR'
named entity 'Public Health'
named entity 'pathogen'
named entity 'clinical laboratories'
named entity 'diagnostic test'
named entity 'Guizhou'
named entity 'clinical laboratories'
named entity 'non-communicable diseases'
named entity 'Virology'
named entity 'IHR'
named entity 'Guangxi'
named entity 'IHR'
named entity 'Guangxi'
named entity 'SPSS'
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