Literature DB >> 17976829

Clinical qualitative evaluation of the diagnosis of acute otitis media in general practice.

J-M Legros1, H Hitoto, F Garnier, C Dagorne, E Parot-Schinkel, S Fanello.   

Abstract

OBJECTIVES: Assess the quality of the diagnosis of acute otitis media (AOM) given by general practitioners (GPs) on a daily basis and compare it with the diagnosis of ear, nose and throat specialist (ENTS) which is considered as the gold standard.
METHODOLOGY: Every GP had to include six children aged 1-4 years for whom he suspected or diagnosed that they were suffering from AOM. Parents had to accept to see the ENTS participating in the survey within 48 h.
RESULTS: Twenty-four GPs took part in the survey and included at least one child, which amounts to a final 57% acceptability rate. Two hundred and eight eardrums were included in the survey. 21.9% of assumptions or diagnosis's of AOM (30/137) were declared null by the ENTS. GPs diagnose AOM without any doubt only in 54% of all cases. The diagnosis and the assumption of AOM were respectively confirmed in 83.8% of all cases and 71.4% by the ENTS. The combination of redness and bulge, and isolated redness accounted for respectively 44.3% and 26.2% of the main otoscopical factors reminiscent of the AOM according to GPs. In the case of redness and bulge, the diagnosis was confirmed in 83% of all cases by the ENTS as opposed to 75% regarding the isolated redness. An AOM was suspected in 57.1% of the eardrums barely or not visible or without any sign of infection and not confirmed in 25% of all cases.
CONCLUSION: The global over diagnosis is 21.9% and 25% when the otoscopy is hindered by the presence of cerumen or when the eardrums are only inflammatory. Even though the over diagnosis is inferior to the one mentioned in published writings, post-graduate teaching on the various cerumen removal techniques and the use of pneumatic otoscopy could contribute to improving the quality of diagnosing AOM.

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Year:  2007        PMID: 17976829     DOI: 10.1016/j.ijporl.2007.09.010

Source DB:  PubMed          Journal:  Int J Pediatr Otorhinolaryngol        ISSN: 0165-5876            Impact factor:   1.675


  10 in total

1.  Initial findings of shortwave infrared otoscopy in a pediatric population.

Authors:  Tulio A Valdez; Jessica A Carr; Katherine R Kavanagh; Marissa Schwartz; Danielle Blake; Oliver Bruns; Moungi Bawendi
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2018-08-23       Impact factor: 1.675

2.  Update on acute otitis media in children younger than 2 years of age.

Authors:  Colin J McWilliams; Ran D Goldman
Journal:  Can Fam Physician       Date:  2011-11       Impact factor: 3.275

3.  Acute otitis media in children 6 months to 2 years of age.

Authors:  Ran D Goldman
Journal:  Can Fam Physician       Date:  2022-08       Impact factor: 3.025

4.  Smartphone-based artificial intelligence using a transfer learning algorithm for the detection and diagnosis of middle ear diseases: A retrospective deep learning study.

Authors:  Yen-Chi Chen; Yuan-Chia Chu; Chii-Yuan Huang; Yen-Ting Lee; Wen-Ya Lee; Chien-Yeh Hsu; Albert C Yang; Wen-Huei Liao; Yen-Fu Cheng
Journal:  EClinicalMedicine       Date:  2022-07-12

5.  A Machine Learning Approach to Screen for Otitis Media Using Digital Otoscope Images Labelled by an Expert Panel.

Authors:  Josefin Sandström; Hermanus Myburgh; Claude Laurent; De Wet Swanepoel; Thorbjörn Lundberg
Journal:  Diagnostics (Basel)       Date:  2022-05-25

6.  The effect and acceptability of tympanometry and pneumatic otoscopy in general practitioner diagnosis and management of childhood ear disease.

Authors:  Penelope Abbott; Sara Rosenkranz; Wendy Hu; Hasantha Gunasekera; Jennifer Reath
Journal:  BMC Fam Pract       Date:  2014-12-12       Impact factor: 2.497

7.  Building an Otoscopic screening prototype tool using deep learning.

Authors:  Devon Livingstone; Aron S Talai; Justin Chau; Nils D Forkert
Journal:  J Otolaryngol Head Neck Surg       Date:  2019-11-26

8.  Smartphone-Enabled versus Conventional Otoscopy in Detecting Middle Ear Disease: A Meta-Analysis.

Authors:  Chih-Hao Chen; Chii-Yuan Huang; Hsiu-Lien Cheng; Heng-Yu Haley Lin; Yuan-Chia Chu; Chun-Yu Chang; Ying-Hui Lai; Mao-Che Wang; Yen-Fu Cheng
Journal:  Diagnostics (Basel)       Date:  2022-04-13

9.  Otitis Media Diagnosis for Developing Countries Using Tympanic Membrane Image-Analysis.

Authors:  Hermanus C Myburgh; Willemien H van Zijl; DeWet Swanepoel; Sten Hellström; Claude Laurent
Journal:  EBioMedicine       Date:  2016-02-08       Impact factor: 8.143

10.  Otitis media: viruses, bacteria, biofilms and vaccines.

Authors:  Helen M Massa; Allan W Cripps; Deborah Lehmann
Journal:  Med J Aust       Date:  2009-11-02       Impact factor: 7.738

  10 in total

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