|
1
|
Ansermino JM, Ginsburg AS, Dunsmuir D, Karlen W, Gan H, Njeru CM, Dumont GA. Counting: An imprecise reference standard for respiratory rate measurement. Pediatr Pulmonol 2023; 58:597-598. [PMID: 36229980 DOI: 10.1002/ppul.26208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/08/2022] [Accepted: 10/12/2022] [Indexed: 02/06/2023]
Affiliation(s)
- J Mark Ansermino
- Room V3-364, British Columbia Children's Hospital Research Institute, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Amy Sarah Ginsburg
- Clinical Trials Center, University of Washington, Seattle, Washington, USA
| | - Dustin Dunsmuir
- Room V3-353, British Columbia Children's Hospital Research Institute, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Walter Karlen
- Institute of Biomedical Engineering, University of Ulm, Ulm, Germany
| | - Heng Gan
- Department of Anesthesia, British Columbia Children's Hospital, Vancouver, British Columbia, Canada
| | | | - Guy A Dumont
- Rm V3-348, British Columbia Children's Hospital Research Institute, The University of British Columbia, Vancouver, British Columbia, Canada
| |
Collapse
|
|
2
|
Spurr R, Ng E, Onchiri FM, Rapha B, Nakatumba-Nabende J, Rosenfeld M, Najjingo I, Stout JW, Nantanda R, Ellington LE. Performance and usability of a new mobile application for measuring respiratory rate in young children with acute lower respiratory infections. Pediatr Pulmonol 2022; 57:3009-3016. [PMID: 35996862 PMCID: PMC10583740 DOI: 10.1002/ppul.26125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 07/18/2022] [Accepted: 08/17/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Respiratory rate (RR) measurement is critical to diagnosing pneumonia in resource-constrained settings, but accurate RR measurement is challenging. The acute lower respiratory illness treatment and evaluation (ALRITE) mobile phone application (app), designed to help healthcare workers (HCWs) manage pediatric respiratory illnesses, includes a semiautomated RR counter. This study aimed to evaluate the accuracy and usability of the ALRITE RR counter and a commercially available RR counter app, RRate, with a reference standard. METHODS This was a cross-sectional observational study of HCWs. Participants used both apps to measure the RR of pediatric patients from standardized videos. The reference standard was determined by consensus of a manual 1-min count by two providers. We assessed agreement using Spearman's rank correlation coefficient and constructed Bland-Altman plots to determine bias and limits of agreement. Participants completed a usability survey. RESULTS Thirty-nine HCWs participated. The agreement between the apps and reference standard (Spearman's coefficient) was 0.83 (95% confidence interval [CI]: 0.78-0.87) for ALRITE and 0.62 (95% CI: 0.52-0.70) for RRate. ALRITE had a bias of -2 breaths/min (lower limit of agreement [LoA] -16 to +12) and RRate had a bias of -0.4 breaths/min (LoA -24 to +23) compared to the reference standard. Both apps had a poorer agreement at higher RRs. Based on usability survey responses, 95% found ALRITE easy to use. CONCLUSIONS The ALRITE RR counter has acceptable accuracy for counting RR in infants with respiratory distress, appears to be more accurate than a commercially available option, and was user-friendly. The ALRITE RR counter is a promising tool for meriting evaluation in real-world settings.
Collapse
Affiliation(s)
- Rebecca Spurr
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
| | - Erin Ng
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle Children’s Research Institute, Seattle, Washington, USA
| | - Frankline M. Onchiri
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle Children’s Research Institute, Seattle, Washington, USA
| | - Ben Rapha
- Department of Computer Science, Makerere University School of Computing and Information Technology, Kampala, Uganda
| | - Joyce Nakatumba-Nabende
- Department of Computer Science, Makerere University School of Computing and Information Technology, Kampala, Uganda
| | - Margaret Rosenfeld
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle Children’s Research Institute, Seattle, Washington, USA
| | - Irene Najjingo
- Makerere University Lung Institute, Makerere University College of Health Sciences, Kampala, Uganda
| | - James W. Stout
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
| | - Rebecca Nantanda
- Makerere University Lung Institute, Makerere University College of Health Sciences, Kampala, Uganda
| | - Laura E. Ellington
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle Children’s Research Institute, Seattle, Washington, USA
| |
Collapse
|