Mobile application-based oximetry: a potential tool for appropriate referral of patients with respiratory symptoms examined via telemedicine 


health transformation . institute

knowledge platform & advisory consulting


Joaquim Cardoso MSc
Chief Researcher, Editor & Advisor
December 30, 2022


SOURCE:


Einstein Journal
19/Dec/2022


Fernanda Vieira Paladino , Tarso Augusto Duenhas Accorsi , Bárbara Yasmin Gueuvoghlanian-Silva , Marcia Aparecida de Almeida , João Carlos Barbosa , Miguel Almeida de Oliveira Filho , Carlos Henrique Sartorato Pedrotti , Karine De Amicis , Claudio Luiz Lottenberg , Eduardo Cordioli


Highlights


  • The evaluated method showed moderate reproducibility when compared to the gold standard practice.

  • This new method had a high specificity and a low sensitivity.

  • The observed high range of SpO2 levels between the methods could lead to a wrong patient referral.

  • The use of telemedicine to assess oxygen saturation in patient with dyspnea is a viable resource, although requiring improvement.

The use of telemedicine to assess oxygen saturation in patient with dyspnea is a viable resource, although requiring improvement.


ABSTRACT


Objective


  • To calculate the positive likelihood ratio to determine whether telemedicine is able to optimize referral to the emergency department.

Methods


  • Unicenter study with 182 consecutive patients admitted to Hospital Israelita Albert Einstein due to respiratory symptoms. 

  • All patients were submitted to oxygen saturation measurement using the standard method Welch Allyn finger device vital sign monitor and a 2-minute evaluation (Binah.ai mobile application). 

  • The reproducibility of oxygen saturation measurements made with both methods was investigated using interclass correlation coefficients and analysis of dispersion. 

  • Bland-Altman plots were constructed and kappa concordance coefficients used to examine data normality. Accuracy was also estimated.

Results


  • Oxygen saturation measurement differences between methods were ≤2% in more than 85% of cases. 

  • The mean difference (bias) between methods was near zero (0.835; Bland-Altman analysis 

  • Oxygen saturation measurements made using the Binah.ai mobile application had an average ability to detect patients with altered oxygen saturation levels compared to the conventional method (ROC analysis). 

  • The positive likelihood ratio of the mobile application was 6.23.

Conclusion


  • Mobile applications for oxygen saturation measurement are accessible user-friendly tools …
  • … with moderate impact on clinical telemedicine evaluation of patients with respiratory symptoms, and …
  • … may optimize referral to the emergency department.

Mobile applications for oxygen saturation measurement are accessible user-friendly tools …

… with moderate impact on clinical telemedicine evaluation of patients with respiratory symptoms, and …

… may optimize referral to the emergency department


Originally published at https://journal.einstein.br.

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