Submitted By: Christopher M. Miller, MD / National Heart Lung and Blood Institute, NIH | |
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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 |
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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. |
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 |
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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. |
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