{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T22:13:33Z","timestamp":1793916813714,"version":"4.8.0"},"reference-count":34,"publisher":"American Academy of Pediatrics (AAP)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,1]]},"abstract":"<jats:sec>\n                  <jats:title\/>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>OBJECTIVES<\/jats:title>\n                  <jats:p>Effective bag-valve-mask ventilation is critical for reducing perinatal asphyxia-related neonatal deaths; however, providers often fail to achieve and maintain effective ventilation. The Augmented Infant Resuscitator (AIR) attaches to bag-valve-masks and provides visual feedback on air leaks, blocked airways, harsh breaths, and improper ventilatory rates. We evaluated the effect of this real-time-digital feedback on ventilation quality and the effective determination of airway integrity in a randomized controlled study in Uganda and the United States.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>METHODS<\/jats:title>\n                  <jats:p>Birth attendants trained in newborn resuscitation were randomized to receive either real-time AIR device feedback (intervention) or no feedback (control) during ventilation exercises. Intervention-arm participants received a 2-minute orientation on interpreting AIR feedback using a single-page iconography chart. All participants were randomly assigned to 3 blinded ventilation scenarios on identical-appearing manikins with airways that were either normal, significantly leaking air, or obstructed.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>RESULTS<\/jats:title>\n                  <jats:p>We enrolled 270 birth attendants: 77.8% from Uganda and 22.2% from the United States. Birth attendants receiving AIR feedback achieved effective ventilation 2.0 times faster: intervention mean 13.8s (95% confidence interval 10.6\u201317.1) versus 27.9s (21.6\u201334.3) for controls (P &amp;lt; .001). The duration of effective ventilation was 1.5 times longer: intervention mean 72.1s (66.7\u201377.5) versus 47.9s (41.6\u201354.2) for controls (P &amp;lt; .001). AIR feedback was associated with significantly more accurate and faster airway condition assessment (intervention mean 43.7s [40.5\u201347.0] versus 55.6s [51.6\u201359.6]).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>CONCLUSIONS<\/jats:title>\n                  <jats:p>Providers receiving real-time-digital AIR device feedback achieved effective ventilation significantly faster, maintained it longer, and determined airway condition faster and more accurately than providers in the control group.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1542\/peds.2022-060599","type":"journal-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T08:23:14Z","timestamp":1698135794000},"source":"Crossref","is-referenced-by-count":9,"title":["Real-Time Digital Feedback Device and Simulated Newborn Ventilation Quality"],"prefix":"10.1542","volume":"152","author":[{"given":"Santorino","family":"Data","sequence":"first","affiliation":[{"name":"aDepartment of Pediatrics and Child Health"},{"name":"bConsortium for Affordable Medical Technologies in Uganda, Mbarara University of Science and Technology, Mbarara, Uganda"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brett D.","family":"Nelson","sequence":"additional","affiliation":[{"name":"cDepartment of Pediatrics"},{"name":"dHarvard Medical School, Boston, Massachusetts"},{"name":"eConsortium for Affordable Medical Technologies and the Springboard Studio, Massachusetts General Hospital, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin","family":"Cedrone","sequence":"additional","affiliation":[{"name":"fEB Innovations LLC, Boxboro, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Winifride","family":"Mwebesa","sequence":"additional","affiliation":[{"name":"gSave the Children, Washington, District of Columbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Santa","family":"Engol","sequence":"additional","affiliation":[{"name":"hSave the Children, Kampala, Uganda"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naome","family":"Nsiimenta","sequence":"additional","affiliation":[{"name":"bConsortium for Affordable Medical Technologies in Uganda, Mbarara University of Science and Technology, Mbarara, Uganda"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristian R.","family":"Olson","sequence":"additional","affiliation":[{"name":"cDepartment of Pediatrics"},{"name":"dHarvard Medical School, Boston, Massachusetts"},{"name":"eConsortium for Affordable Medical Technologies and the Springboard Studio, Massachusetts General Hospital, Boston, 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