Caroline Crehan 1 , Tim Colbourn 1 , Michelle Heys 1,2 , Elizabeth Molyneux 3 Show Affiliations »
Abstract
BACKGROUND: Non-invasive respiratory support using bubble continuous positive airway pressure (bCPAP) is useful in treating babies with respiratory distress syndrome. Despite its proven clinical and cost-effectiveness, implementation is hampered by the inappropriate administration of bCPAP in low-resource settings. A clinical algorithm-'TRY' (based on Tone: good; Respiratory distress; Yes, heart rate above 100 beats/min)-has been developed to correctly identify which newborns would benefit most from bCPAP in a teaching hospital in Malawi. OBJECTIVE: To evaluate the reliability, sensitivity and specificity of TRY when employed by nurses in a Malawian district hospital. METHODS: Nursing staff in a Malawian district hospital baby unit were asked, over a 2-month period, to complete TRY assessments for every newly admitted baby with the following inclusion criteria: clinical evidence of respiratory distress and/or birth weight less than 1.3 kg. A visiting paediatrician, blinded to nurses' assessments, concurrently assessed each baby, providing both a TRY assessment and a clinical decision regarding the need for CPAP administration. Inter-rater reliability was calculated comparing nursing and paediatrician TRY assessment outcomes. Sensitivity and specificity were estimated comparing nurse TRY assessments against the paediatrician's clinical decision. RESULTS: Two hundred and eighty-seven infants were admitted during the study period; 145 (51%) of these met the inclusion criteria, and of these 57 (39%) received joint assessments. The inter-rater reliability was high (kappa 0.822). Sensitivity and specificity were 92% and 96%, respectively. CONCLUSIONS: District hospital nurses, using the TRY-CPAP algorithm, reliably identified babies that might benefit from bCPAP and thus improved its effective implementation. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
BACKGROUND: Non-invasive respiratory support using bubble continuous positive airway pressure (bCPAP) is useful in treating babies with respiratory distress syndrome . Despite its proven clinical and cost-effectiveness, implementation is hampered by the inappropriate administration of bCPAP in low-resource settings. A clinical algorithm-'TRY' (based on Tone: good; Respiratory distress; Yes, heart rate above 100 beats/min)-has been developed to correctly identify which newborns would benefit most from bCPAP in a teaching hospital in Malawi. OBJECTIVE: To evaluate the reliability, sensitivity and specificity of TRY when employed by nurses in a Malawian district hospital. METHODS: Nursing staff in a Malawian district hospital baby unit were asked, over a 2-month period, to complete TRY assessments for every newly admitted baby with the following inclusion criteria: clinical evidence of respiratory distress and/or birth weight less than 1.3 kg. A visiting paediatrician, blinded to nurses' assessments, concurrently assessed each baby, providing both a TRY assessment and a clinical decision regarding the need for CPAP administration. Inter-rater reliability was calculated comparing nursing and paediatrician TRY assessment outcomes. Sensitivity and specificity were estimated comparing nurse TRY assessments against the paediatrician's clinical decision. RESULTS: Two hundred and eighty-seven infants were admitted during the study period; 145 (51%) of these met the inclusion criteria, and of these 57 (39%) received joint assessments. The inter-rater reliability was high (kappa 0.822). Sensitivity and specificity were 92% and 96%, respectively. CONCLUSIONS: District hospital nurses, using the TRY-CPAP algorithm, reliably identified babies that might benefit from bCPAP and thus improved its effective implementation. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Entities: Disease
Gene
Species
Keywords:
algorithms; continuous positive airways pressure; developing countries; infant; malawi; newborn; respiratory; sensitivity and specificity
Mesh： See more »
Year: 2018
PMID： 29514813 DOI： 10.1136/archdischild-2017-313867
Source DB: PubMed Journal: Arch Dis Child ISSN： 0003-9888 Impact factor: 3.791