Automating Quality and Safety Benchmarking for Children: Meeting the Needs of Health Systems and Patients
- Automating Qual...
- Study Dates
- 2016-04 - 2017-03
- Principal Investigator
- Affiliation
- Sponsor Site
- Cincinnati Children's Hospital Medical Center
- PEDSnet Study ID
- 2016.WALK.PCORI.CCHMC.254
Study to evaluate the validity, efficency, and satisfaction of the PCORnet CDM when compared to the current health systems methods for capturing high priority measures of quality and safety, while refinining the reporting and data sharing process.
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Creative Commons license
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Project Description
Study to implement and test electronic measures of outpatient pediatric healthcare quality and safety using the PCORI Common Data Model. This research uses two PCORI funded networks which use the PCORI Common Data Model: PEDSnet and OneFlorida. This was the first study to use the PEDSnet and OneFlorida data, and includes analysis of the data pulled directly from the electronic health record for over 5 million children, and validation of this data using a manual review of a sample of approximately 500 charts. The study tested the creation of a benchmarking report so health systems can compare their performance to others. Without this information, hospitals would not know if they have the best quality care or the worst, and cannot learn from each other, which limits improvement.
Study focused on three, well-established measures of quality:
- Transcranial Doppler screening for children with sickle cell disease;
- Appropriate antibiotics for ear infections; and
- Cholesterol and glucose testing for children on antipsychotic medications.
Only 30% of children with sickle cell disease receive transcranial Doppler screening, which identifies high risk for stroke and initiates treatments that reduce risk by 92%. Only 70% of children with ear infections receive the appropriate antibiotics. Over 600,000 children take antipsychotic medications which greatly increase the risk for diabetes and high cholesterol; only 19% of these receive glucose and cholesterol tests.

