Evidence map›Paper›PMID 39407310›Full record

ArticleMalaria journal2024

Simulated Malaria Online Tool: an instrument for evaluating healthcare providers' practices and contributing to the evidence base for certifying malaria elimination and preventing its re-establishment.

Reza Majdzadeh, Mohammad Ali Mansournia, Ayat Ahmadi, Ahmad Raeisi, Hosein Azizi

Abstract read
In one paragraph

Article in Malaria journal, 2024. 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

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

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

5 authors.

Reza MajdzadehSchool of Health and Social Care, University of Essex, Colchester, UK.
Mohammad Ali MansourniaDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. mansournia_ma@yahoo.com.
Ayat AhmadiKnowledge Utilization Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Ahmad RaeisiNational Programme Manager for Malaria Elimination, Department of Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Hosein AziziWomen's Reproductive Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. aziziepid@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare providers (HCPs) practice and correct management of suspected malaria (CMSM) are central components of malaria elimination and prevention of re-establishment (POR) in countries in the elimination phase. However, knowledge of malaria surveillance systems and HCPs practices often wanes in countries aiming to eliminate malaria due to the low numbers of cases. The study aimed to implement a valid Simulated Malaria Online Tool (SMOT) for assessment HCP performance in CMSM and POR in a malaria-free area.

methodsHCPs were evaluated using SMOT tool based on four criteria including presenting a suspected malaria case for detection of HCPs' failures in recognition (a), diagnosis (b), appropriate treatment (c), and urgent reporting (d); and compared with simulated patients (SP). Multiple logistic regression analysis was carried out to estimate adjusted odds ratios (ORs) for the risk of HCPs failures.

resultsThe overall failure proportion was 237 (83%), and the majority of failures were in recognition (a). There was no significant difference between the SMOT and SP based on all failure criteria (P > 0.05). The private clinic (93%) and the public specialized clinic (70%) had the highest and lowest failure proportions. After passing the recognition stage (a), the overall failure proportions decreased to 47.8% and 25.0% for total HCPs and infectious disease specialists, respectively. In the final analysis, private sector (AOR = 4.36: 1.25-15.2), not-specialist providers (AOR = 2.84: 1.29-6.25) and HCPs with ≥ 5 years' experience (AOR = 2.03: 1.01-6.25) increased the risk of failure.

conclusionFindings confirmed the implementation of SMOT tool in settings where malaria transmission is low or interrupted. The tool is able to identify sub-groups of providers needing strengthening, and contributes to the prevention of malaria re-establishment.

Indexed as

Health PersonnelMalariaDisease EradicationFemaleHumansMaleHealth systemsHealth workersMalaria eliminationPreventionSurveillance

Identifiers

PMID39407310
PMCPMC11481736

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.