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Smartphone-Enabled versus Conventional Otoscopy in Detecting Middle Ear Disease: A Meta-Analysis.
Chen, Chih-Hao; Huang, Chii-Yuan; Cheng, Hsiu-Lien; Lin, Heng-Yu Haley; Chu, Yuan-Chia; Chang, Chun-Yu; Lai, Ying-Hui; Wang, Mao-Che; Cheng, Yen-Fu.
  • Chen CH; Department of Otolaryngology-Head and Neck Surgery, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Huang CY; Department of Otolaryngology-Head and Neck Surgery, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Cheng HL; Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.
  • Lin HH; Department of Otolaryngology-Head and Neck Surgery, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Chu YC; Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.
  • Chang CY; Department of Otolaryngology-Head and Neck Surgery, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Lai YH; Department of Information Management, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Wang MC; Big Data Center, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Cheng YF; Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei 112, Taiwan.
Diagnostics (Basel) ; 12(4)2022 Apr 13.
Article in English | MEDLINE | ID: covidwho-1809765
ABSTRACT
Traditional otoscopy has some limitations, including poor visualization and inadequate time for evaluation in suboptimal environments. Smartphone-enabled otoscopy may improve examination quality and serve as a potential diagnostic tool for middle ear diseases using a telemedicine approach. The main objectives are to compare the correctness of smartphone-enabled otoscopy and traditional otoscopy and to evaluate the diagnostic confidence of the examiner via meta-analysis. From inception through 20 January 2022, the Cochrane Library, PubMed, EMBASE, Web of Science, and Scopus databases were searched. Studies comparing smartphone-enabled otoscopy with traditional otoscopy regarding the outcome of interest were eligible. The relative risk (RR) for the rate of correctness in diagnosing ear conditions and the standardized mean difference (SMD) in diagnostic confidence were extracted. Sensitivity analysis and trial sequential analyses (TSAs) were conducted to further examine the pooled results. Study quality was evaluated by using the revised Cochrane risk of bias tool 2. Consequently, a total of 1840 examinees were divided into the smartphone-enabled otoscopy group and the traditional otoscopy group. Overall, the pooled result showed that smartphone-enabled otoscopy was associated with higher correctness than traditional otoscopy (RR, 1.26; 95% CI, 1.06 to 1.51; p = 0.01; I2 = 70.0%). Consistently significant associations were also observed in the analysis after excluding the simulation study (RR, 1.10; 95% CI, 1.00 to 1.21; p = 0.04; I2 = 0%) and normal ear conditions (RR, 1.18; 95% CI, 1.01 to 1.40; p = 0.04; I2 = 65.0%). For the confidence of examiners using both otoscopy methods, the pooled result was nonsignificant between the smartphone-enabled otoscopy and traditional otoscopy groups (SMD, 0.08; 95% CI, -0.24 to 0.40; p = 0.61; I2 = 16.3%). In conclusion, smartphone-enabled otoscopy was associated with a higher rate of correctness in the detection of middle ear diseases, and in patients with otologic complaints, the use of smartphone-enabled otoscopy may be considered. More large-scale studies should be performed to consolidate the results.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Prognostic study / Randomized controlled trials / Reviews Language: English Year: 2022 Document Type: Article Affiliation country: Diagnostics12040972

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Prognostic study / Randomized controlled trials / Reviews Language: English Year: 2022 Document Type: Article Affiliation country: Diagnostics12040972