Evidence map›Paper›PMID 34532230›Full record

ArticleMalariaWorld journal2017

Performance evaluation of malaria microscopists working at rechecking laboratories in Ethiopia.

Abnet Abebe, Meseret Belayneh, Habtamu Asrat, Wondwossen Kassa, Andargachew Gashu, Adino Desale, Getnet Hailu, Tesfaye Mekonnen, Feven Girmachew, Achamyeleh Mulugeta and 6 more

Open access · greenAbstract read
In one paragraph

Article in MalariaWorld journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

16 authors at 2 institutions in 1 country.

Abnet AbebeEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Meseret BelaynehDepartment of Medical Laboratory Sciences, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Habtamu AsratEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Wondwossen KassaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Andargachew GashuEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Adino DesaleEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Getnet HailuEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Tesfaye MekonnenEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Feven GirmachewEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Achamyeleh MulugetaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Ebise AboseEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Dereje YenealemEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Abeba G TsadikEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Adisu KebedeEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Gonfa AyanaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Kassu DestaDepartment of Medical Laboratory Sciences, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Ethiopian Public Health Institute · ETAddis Ababa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroscopic diagnosis of Giemsa-stained thick and thin blood films has remained the standard laboratory method for diagnosing malaria. High quality performance of microscopists that examine blood slides in health facilities remains critically important. MATERIALS AND

methodsA cross-sectional study was conducted to assess the performance of 107 malaria microscopists working at 23 malaria rechecking laboratories in Ethiopia. A set of 12 blood film slides was distributed to each microscopist. Data was collected and exported to SPSS version 20 for analysis. Chi-square, sensitivity, specificity, percent agreement, and kappa scores were calculated to assess performance in detecting and identification of

resultsThe mean age of the participants was 30 ± 5 yrs and most of them (54; 50.5%) were working at regional reference laboratories. Overall, the sensitivity of participants in detecting and identifying malaria parasite species was 96.8% and 56.7%, respectively. The overall agreement on detection and identification of malaria species was 96.8% (Kappa = 0.9) and 64.8% (Kappa = 0.33), respectively. The least accurately identified malaria parasite species was

conclusionThe accuracy of parasite identification and quantification differed strongly between participants and expert microscopists. Therefore, regular competency assessment and training for malaria microscopists should be mandatory to assure proper diagnosis and management of malaria in Ethiopia.

Identifiers

PMID34532230
PMCPMC8415073
OpenAlexW3200204628

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.