Evidence map›Paper›PMID 25990715›Full record

ArticleMalaria journal2015

Coverage, use and maintenance of bed nets and related influence factors in Kachin Special Region II, northeastern Myanmar.

Hui Liu, Jian-wei Xu, Xiang-rui Guo, Joshua Havumaki, Ying-xue Lin, Guo-cui Yu, Dai-li Zhou

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 9% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 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

7 authors at 3 institutions in 2 countries.

Hui LiuYunnan Institute of Parasitic Diseases; Yunnan Provincial Centre of Malaria Research, Yunnan Provincial Collaborative Innovation Centre for Public Health and Disease Prevention and Control, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Puer, 665000, China. liubible@126.com.
Jian-wei XuYunnan Institute of Parasitic Diseases; Yunnan Provincial Centre of Malaria Research, Yunnan Provincial Collaborative Innovation Centre for Public Health and Disease Prevention and Control, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Puer, 665000, China. xjw426@163.com.
Xiang-rui GuoYangjiang County Centre for Disease Control and Prevention, Yangjiang, 679300, China. xiaoduorong@vip.qq.com.
Joshua HavumakiFoundation for Innovative New Diagnostics, 1216 Cointrin, Geneva, Switzerland. jhavuma@gmail.com.
Ying-xue LinYangjiang County Centre for Disease Control and Prevention, Yangjiang, 679300, China. yjjkzx@163.com.
Guo-cui YuYangjiang County Centre for Disease Control and Prevention, Yangjiang, 679300, China. yuguocui1960@163.com.
Dai-li ZhouYangjiang County Centre for Disease Control and Prevention, Yangjiang, 679300, China. dailizhou1966@163.com.
Xinjiang Uygur Autonomous Region Disease Prevention and Control Center · CNYunnan Institute of Parasitic Diseases · CNFIND · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyanmar is one of the 31 highest burden malaria countries worldwide. Scaling up the appropriate use of insecticide-treated nets (ITNs) is a national policy for malaria prevention and control. However, the data on use, influencing factors and maintenance of bed nets is still lack among the population in Kachin Special Region II (KR2), Northeastern Myanmar.

methodsThe study combined a quantitative household questionnaire survey and qualitative direct observation of households. A Chi-squared test was used to compare the percentages of ownership, coverage, and rates of use of bed nets. Additionally, multivariate logistic regression analysis (MVLRA) was used to analyse factors that influence the use of bed nets. Finally, covariance compared the mean calibrated hole indexes (MCHI) across potential influence variables.

resultsThe bed net to person ratio was 1:1.96 (i.e., more than one net for every two people). The long-lasting insecticidal net (LLIN) to person ratio was 1: 2.52. Also, the percentage of households that owned at least one bed net was 99.7% (666/688). Some 3262 (97.3%) residents slept under bed nets the prior night, 2551 (76.1%) of which slept under ITNs/LLINs the prior night (SUITNPN). The poorest families, those with thatched roofing, those who use agriculture as their main source of family income, household heads who knew that mosquitoes transmit malaria and those who used bed nets to prevent malaria, were significantly more likely to be in the SUITNPN group. However, residents in lowlands, and foothills were significantly less likely to be SUITNPNs. Finally, head of household attitude towards fixing bed nets influenced MCHI (F=8.09, P=0.0046).

conclusionsThe coverage and usage rates of bed nets were high, especially among children, and pregnant women. Family wealth index, geographical zones, household roofing, source of family income, household head's knowledge of malaria transmission and of using bed nets as tools for malaria prevention are all independent factors which influence use of ITNs/LLINs in KR2. Maintaining high coverage, and use rate of bed nets should be a priority for the war-torn population of KR2 to ensure equity and human rights.

Indexed as

Mosquito ControlAdolescentAdultAgedFamily CharacteristicsFemaleHumansInsecticidesInsecticide-Treated BednetsMalariaMaleMiddle AgedMyanmarYoung AdultInsecticides

Identifiers

PMID25990715
PMCPMC4457094
OpenAlexW1496365369

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.