Evidence map›Paper›PMID 27004465›Full record

ArticleMalaria journal2016

Development and evaluation of a spatial decision support system for malaria elimination in Bhutan.

Kinley Wangdi, Cathy Banwell, Michelle L Gatton, Gerard C Kelly, Rinzin Namgay, Archie C A Clements

Abstract read
In one paragraph

Article in Malaria journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016.The American journal of tropical medicine and hygiene · 2020
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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

6 authors.

Kinley WangdiResearch School of Population Health, College of Medicine, Biology and Environment, The Australian National University, Canberra, ACT, Australia. dockinley@gmail.com.ORCID http://orcid.org/0000-0002-8857-2665
Cathy BanwellResearch School of Population Health, College of Medicine, Biology and Environment, The Australian National University, Canberra, ACT, Australia.
Michelle L GattonSchool of Public Health & Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
Gerard C KellyResearch School of Population Health, College of Medicine, Biology and Environment, The Australian National University, Canberra, ACT, Australia.
Rinzin NamgayVector-borne Disease Control Programme, Department of Public Health, Ministry of Health, Gelephu, Bhutan.
Archie C A ClementsResearch School of Population Health, College of Medicine, Biology and Environment, The Australian National University, Canberra, ACT, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBhutan has reduced its malaria incidence significantly in the last 5 years, and is aiming for malaria elimination by 2016. To assist with the management of the Bhutanese malaria elimination programme a spatial decision support system (SDSS) was developed. The current study aims to describe SDSS development and evaluate SDSS utility and acceptability through informant interviews.

methodsThe SDSS was developed based on the open-source Quantum geographical information system (QGIS) and piloted to support the distribution of long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) in the two sub-districts of Samdrup Jongkhar District. It was subsequently used to support reactive case detection (RACD) in the two sub-districts of Samdrup Jongkhar and two additional sub-districts in Sarpang District. Interviews were conducted to ascertain perceptions on utility and acceptability of 11 informants using the SDSS, including programme and district managers, and field workers.

resultsA total of 1502 households with a population of 7165 were enumerated in the four sub-districts, and a total of 3491 LLINs were distributed with one LLIN per 1.7 persons. A total of 279 households representing 728 residents were involved with RACD. Informants considered that the SDSS was an improvement on previous methods for organizing LLIN distribution, IRS and RACD, and could be easily integrated into routine malaria and other vector-borne disease surveillance systems. Informants identified some challenges at the programme and field level, including the need for more skilled personnel to manage the SDSS, and more training to improve the effectiveness of SDSS implementation and use of hardware.

conclusionsThe SDSS was well accepted and informants expected its use to be extended to other malaria reporting districts and other vector-borne diseases. Challenges associated with efficient SDSS use included adequate skills and knowledge, access to training and support, and availability of hardware including computers and global positioning system receivers.

Indexed as

Decision Support Systems, ManagementBhutanChild, PreschoolDisease EradicationGeographyHumansInfantInfant, NewbornInsecticide-Treated BednetsMalariaBhutanKey informantsLong-lasting insecticidal netsSpatial decision support system

Identifiers

PMID27004465
PMCPMC4804570

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.