Evidence map›Paper›PMID 38905180›Full record

ArticlePloS one2024

Uncovering the knowledge gap: A web-based survey of healthcare providers' understanding and management of dengue fever in East Azerbaijan, Iran.

Madineh Abbasi, Morteza Zaim, Mahmood Moosazadeh, Mahasti Alizadeh, Abbasali Dorosti, Simin Khayatzadeh, Seyed Hassan Nikookar, Ahmad Raeisi, Fatemeh Nikpoor, Abdolreza Mirolyaie and 5 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Dengue fever: a decade of burden in Iran.Frontiers in public health · 2024
    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

15 authors.

Madineh AbbasiInfectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Morteza ZaimDepartment of Medical Entomology & Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mahmood MoosazadehFaculty of Health, Department of Medical Entomology and Vector Control, Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Mazandaran, Iran.
Mahasti AlizadehHealth Management and Safety Promotion Research Institute, Social Determinants of Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Abbasali DorostiDepartment of Anesthesiology, Tabriz University of Medical Sciences, Tabriz, Iran.
Simin KhayatzadehProvince Health Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Seyed Hassan NikookarFaculty of Health, Department of Medical Entomology and Vector Control, Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Mazandaran, Iran.
Ahmad RaeisiDepartment of Medical Entomology & Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Fatemeh NikpoorDepartment of Vector Borne Diseases, Communicable Diseases Control, Ministry of Health, Tehran, Iran.
Abdolreza MirolyaieDepartment of Vector Borne Diseases, Communicable Diseases Control, Ministry of Health, Tehran, Iran.
Behrooz Naghili HokmabadInfectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Ahad BazmaniInfectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Farzad KavehDepartment of Vector Borne Diseases, Communicable Diseases Control, Ministry of Health, Tehran, Iran.
Somayeh AzimiDepartment of Health Education and Promotion, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID 0000-0001-6493-9584
Ahmadali EnayatiDepartment of Medical Entomology and Vector Control, School of Public Health and Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue fever (DF) is increasingly recognized as one of the world's major mosquito-borne diseases and causes significant morbidity and mortality in tropical and subtropical countries. Appropriate and timely diagnosis and risk stratification for severe disease are crucial in the appropriate management of this illness. Healthcare providers (HCPs) play a key role in dengue fever diagnosis, management and prevention. The present study was conducted to determine the knowledge, attitudes and practices (KAP) among HCPs in East Azerbaijan Province, Iran.

methodsA cross-sectional survey among 948 HCPs, using a structured questionnaire, was conducted in East Azerbaijan Province from May to July 2022. Data analysis was undertaken using descriptive methods, the Chi-square test or Fisher's exact test, and logistic regression. A P-value <0.05 was considered for statistical significance.

resultsOut of the 948 (68.5% female) respondents, 227 were physicians and 721 were health professionals. The knowledge level of DF was found to be largely inadequate in the present study population (80.4%). The physician vs. health professional were a significant factor in differentiating attitude scores. The mean practice score regarding DF prevention and control measures among respondents was 8.40±1.97.

conclusionThe findings call for urgent continuous education and training courses to increase KAP levels and increased capacity and capability for DF prevention and control. This is of outmost importance for the first point of care of DF patients.

Indexed as

DengueHealth Knowledge, Attitudes, PracticeHealth PersonnelAdultCross-Sectional StudiesFemaleHumansInternetIranMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID38905180
PMCPMC11192336

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.