Evidence map›Paper›PMID 32228594›Full record

ArticleMalaria journal2020

Distribution of malaria patients seeking care in different types of health facilities during the implementation of National Malaria Elimination Programme.

Gang Li, Donglan Zhang, Zhuo Chen, Da Feng, Xiaoyu Chen, Shangfeng Tang, Heejung Son, Zhenhua Wang, Yuanhang Xi, Zhanchun Feng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Malaria journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Gang LiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.ORCID https://orcid.org/0000-0002-6513-2907
Donglan ZhangDepartment of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA.ORCID http://orcid.org/0000-0001-5225-4721
Zhuo ChenDepartment of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA.ORCID https://orcid.org/0000-0002-5351-3489
Da FengSchool of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.ORCID https://orcid.org/0000-0002-1212-150X
Xiaoyu ChenSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.ORCID https://orcid.org/0000-0001-6989-7571
Shangfeng TangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.ORCID https://orcid.org/0000-0001-8178-2486
Heejung SonDepartment of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA.ORCID https://orcid.org/0000-0001-9425-9504
Zhenhua WangDepartment of Mathematics, University of Georgia, Athens, GA, 30602, USA.ORCID https://orcid.org/0000-0001-9875-5169
Yuanhang XiDepartment of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA.ORCID https://orcid.org/0000-0002-8531-6711
Zhanchun FengSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. zcfeng@hust.edu.cn.ORCID https://orcid.org/0000-0001-6021-0016

Funding

National Natural Science Foundation of China 71673098
6 · The paper itself

Abstract

backgroundChina launched the National Malaria Elimination Programme (NMEP) in 2010 and set the goal that all health facilities should be able to diagnose malaria. Additionally, hospitals at all levels could treat malaria by 2015. To provide a reference for the control of imported malaria, a study was conducted on the distribution of malaria patients seeking care in different types of health facilities.

methodsThere were two data sources. One was obtained through the Infectious Diseases Information Reporting Management System (IDIRMS), which only contained the name of health facilities and the number of cases. The other was obtained through multistage stratified cluster sampling. Descriptive statistical analysis was used to investigate the distribution of malaria patients attending different types of health facilities (hospitals, township hospitals, and Centers for Disease Control and Prevention), hospital tiers (county-level, prefecture-level, and provincial-level), and hospital levels (primary, secondary, and tertiary). Chi-square test was also used to compare the proportions of patients seeking care outside their current residence region between different types of hospitals. Point maps were drawn to visualize the spatial distribution of hospitals reporting malaria cases, and flow maps were created to show the spatial flow of malaria patients by using the ArcGIS software.

resultsThe proportions of malaria patients who sought care in hospitals, township hospitals, and Centers for Disease Control and Prevention were 81.7%, 14.7%, and 3.6%, respectively. For those who sought care in hospitals, the percentages of patients who sought care in provincial-level, prefecture-level and county-level hospitals were 17.4%, 60.5% and 22.1%, correspondingly; the proportions of patients who sought care in tertiary hospitals, secondary hospitals, and primary hospitals were 59.8%, 39.9%, and 0.3%, respectively. Moreover, the proportions of patients seeking care in hospitals within county and prefectural administrative areas were 18.2%, 63.4%, respectively.

conclusionDuring the implementation of NMEP, malaria patients tended to seek care in tertiary hospitals and prefecture-level hospitals, and more than half of patients could be treated in hospitals in prefecture-level areas. In the current phase, it is necessary to establish referral system from county-level hospitals to higher-level hospitals for malaria treatment.

Indexed as

National Health ProgramsChinaDelivery of Health CareDisease EradicationHealth FacilitiesHumansMalariaPatient Acceptance of Health CareCare-seeking behaviorGeographic variationGeospatial distributionMedical treatment preference

Identifiers

PMID32228594
PMCPMC7106820

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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.