Assessments of a health-related matter of interest, importance, or worry to a patient, patient’s family, or patient’s healthcare provider that could identify a need, problem, or condition.

Data Element
Obstructive Sleep Apnea Screening
Description

The recognition of Obstructive Sleep Apnea (OSA) is important in reducing the disease burden of cardiovascular disease. OSA is strongly correlated with cardiovascular disorders and management of this condition may facilitate better control of cardiovascular disorders leading to improved patient outcomes. Several OSA screening tools exist, including the STOP Questionaire and the Epworth Sleepiness Scale. Chung F, Yegneswaran B, Liao P, et al. STOP Questionnaire: a tool to screen patients for obstructive sleep apnea. Anesthesiology 2008:108;812-21. Johns MW. A new method for measuring daytime sleepiness: The Epworth Sleepiness Scale. Sleep 1991; 14(6):540-5.
Submitted By: Christopher M. Miller, MD / National Heart Lung and Blood Institute, NIH
Data Element Information
Use Case Description(s)
Use Case Description Development of a Sleep Data Commons, Sleep-OMICS, Sleep genotype-phenotype studies, Big Data and Sleep.
Estimate the breadth of applicability of the use case(s) for this data element Sleep disorders are quite common and often go undiagnosed and therefore untreated, but can have a powerful and bidirectional influence on health. The American Sleep Association approximately 50 – 70 million adults in the U.S have a sleep disorder. With Obstructive Sleep Apnea being the most common with a prevalence of 2 – 4 percent in the general population. Sleep disorder, tests diagnoses, and treatments would consequently appear frequently in patient records,
Link to use case project page https://academic.oup.com/jamia/article/25/10/1351/5026200
Healthcare Aims
  • Improving patient experience of care (quality and/or satisfaction)
  • Improving the health of populations
Maturity of Use and Technical Specifications for Data Element
Applicable Standard(s) SNOMED CT, ICD-10/11 and HL7 all contain terminologies that cover Sleep Health.

International Statistical Classification of Diseases and Related Health Problems (11th ed,; ICD-11; World Health Organization, 2019)
https://www.nlm.nih.gov/healthit/snomedct/index.html
https://icd.who.int/en
https://www.hl7.org/fhir/terminologies-systems.html

https://www.nlm.nih.gov/healthit/snomedct/index.html
Additional Specifications N/A
Current Use In limited use in production environments
Supporting Artifacts Codes exist in ICD-11 and HL7.


https://www.hl7.org/fhir/terminologies-systems.html
Extent of exchange N/A
Potential Challenges
Restrictions on Standardization (e.g. proprietary code) Some sleep assessment tools may be proprietary and/ or require licensing and/or permission..
Restrictions on Use (e.g. licensing, user fees) Some of the relevant standards may not by open source or publicly available.
Privacy and Security Concerns There are no special privacy concerns with the use or exchange of this data elements tbeyond those that accompany other similar PII data.
Estimate of Overall Burden The overall burden of implementation for this data element could be minimal to moderate in a local case or more substantial in a large scale data repository or surveillance project.
Other Implementation Challenges I am unaware of any specific additional challenges.
ONC Evaluation Details
Each submitted Data Element has been evaluated based on the following criteria. The overall Level classification is a composite of the maturity based on these individual criteria. This information can be used to identify areas that require additional work to raise the overall classification level and consideration for inclusion in future versions of USCDI
Criterion #1
Maturity - Current Standards		 Level 2 - Data element is represented by a terminology standard or SDO-balloted technical specification or implementation guide.
Criterion #2
Maturity - Current Use 		Level 0 - Data element is captured, stored, or accessed in limited settings such as a pilot or proof of concept demonstration.
Criterion #3
Maturity - Current Exchange		 Level 2 - Data element is electronically exchanged between more than two production EHRs or other HIT modules of different developers using available interoperability standards.
Criterion #4
Use Case(s) - Breadth of Applicability		 Level 0 - Use cases apply to a limited number of care settings or specialties, or data element represents a specialization of other, more general data elements.

Comment

Log in or register to post comments