Evidence map›Paper›PMID 23374585›Full record

ArticleMalaria journal2013

Mobile phones improve case detection and management of malaria in rural Bangladesh.

Chai S Prue, Kerry L Shannon, Jacob Khyang, Laura J Edwards, Sabeena Ahmed, Malathi Ram, Timothy Shields, Mohammad S Hossain, Gregory E Glass, Myaing M Nyunt and 3 more

Abstract read
In one paragraph

Article in Malaria journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

15 citing papers in PubMed.

  1. Trial
  2. Review
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  4. Article
  5. Article
  6. Investigating usability of mobile health applications in Bangladesh.BMC medical informatics and decision making · 2020
    Article
  7. Article
  8. Article
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  13. Review
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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

13 authors.

Chai S PrueInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Kerry L Shannon
Jacob Khyang
Laura J Edwards
Sabeena Ahmed
Malathi Ram
Timothy Shields
Mohammad S Hossain
Gregory E Glass
Myaing M Nyunt
David A Sack
David J Sullivan
Wasif A Khan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recent introduction of mobile phones into the rural Bandarban district of Bangladesh provided a resource to improve case detection and treatment of patients with malaria.

methodsDuring studies to define the epidemiology of malaria in villages in south-eastern Bangladesh, an area with hypoendemic malaria, the project recorded 986 mobile phone calls from families because of illness suspected to be malaria between June 2010 and June 2012.

resultsBased on phone calls, field workers visited the homes with ill persons, and collected blood samples for malaria on 1,046 people. 265 (25%) of the patients tested were positive for malaria. Of the 509 symptomatic malaria cases diagnosed during this study period, 265 (52%) were detected because of an initial mobile phone call.

conclusionMobile phone technology was found to be an efficient and effective method for rapidly detecting and treating patients with malaria in this remote area. This technology, when combined with local knowledge and field support, may be applicable to other hard-to-reach areas to improve malaria control.

Indexed as

Cell PhoneBangladeshHealth Services ResearchHumansMalariaRural PopulationTelemedicine

Identifiers

PMID23374585
PMCPMC3585886

What OpenQuestion holds

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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.