Reducing inappropriate oxygen use in hospitalized medicine patients

Daniels, Erica;Lamb, Geoffrey C;Beckius, Anna

Description

Evidence suggests inappropriate oxygenation may be harmful to patients. To improve oxygen use in our hospital, we initiated a quality improvement project with a goal to reduce the percentage of inappropriate utilization of oxygen by 50% within a year. Nasal cannula (NC) oxygen use data for medicine inpatients was abstracted weekly for chart review. A multidisciplinary team developed a guideline for use. Initiation of NC O2 with a baseline SPO2 > 92% was deemed inappropriate and 3+ consecutive SPO2 > 96% was defined as over-supplementation. Formal interventions included an oxygen use guideline, updated EMR order, unit-specific feedback, and magnetic placards. Progress was tracked by control charts. Baseline data revealed 40% of patients were inappropriately placed on oxygen and 55% of patients had one instance of excessive supplementation. Only half of all improper uses of oxygen had charted medical reasoning, and 30% had a corresponding order. Instances of proper oxygen use had orders 48% of the time. Run charts revealed inappropriate initiation was significantly reduced to 27.1% (p < 0.0001) and excessive oxygenation decreased significantly to 34.4% (p < 0.0001) following interventions with no effect on other variables. Our interventions significantly decreased improper oxygen initiation and excessive supplementation.

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Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Geriatrics and Gerontology

Field

Medicine

Domain

Health Sciences

Confidence Score

47%

Source

Scholar Data Model

Keywords

MedicineCell BiologyNeurosciencePhysiologyFOS: Biological sciencesPharmacologySociologyFOS: SociologyMathematical Sciences not elsewhere classifiedMarine BiologyCancerScience PolicyHematologyInfectious DiseasesFOS: Health sciencesComputational Biology

Normalization Factors

FT

73.08

CTw

1.00

MTw

1.00