Carolinas Collaborative Data Dictionary

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Overview Carolinas Collaborative Data Dictionary This data dictionary is intended to be a guide of the readily available, harmonized data in the Carolinas Collaborative Common Data Model via i2b2/shrine. Please arrange a consult (http://carolinascollaborative.org/researchers/) with the Carolinas Collaborative to discuss the data needed for your project. The Carolinas Collaborative team of data analysts can provide information on data quality and availability across sites. Additional data sets may be available from each institution, but will require greater effort. Feasibility will be evaluated on a case-by-case basis. Network statistics (percentages rounded) Four major health systems: Duke University Health Sciences South Carolina University of North Carolina Wake Forest University Over 12 million patients over 10 years (may include duplicate patients who receive care from more than one health system) 54% Female, 45% Male 61% with Ambulatory visits, 17% with Inpatient visits, 23% with Emergency visits 49% White, 16% Black, 1% Asian, 1% Native American 4% Hispanic 15% under age 18, 26% over age 65 Over 100 million encounters 84% Ambulatory, 8% Emergency, 4% Inpatient, 4% other Visits dating back to 2007

Data sets Demographics Diagnosis Encounter Details Laboratory Medications Procedures Vitals Demographics Patient demographics cover basic information about a patient such as their current age, gender, race etc. Some of this information may change over time but at any given time only one value or code for each category (the most recent value) will be attached to a patient. For demographic values, in most circumstances the most recent or last known value for a demographic value is available for querying. Age (Current) A patient's current age is calculated at the time the query is run by comparing a patient's birth date and the query date. The resulting value is then rounded down to the nearest whole number. For example, a patient that is 17 years old and 11 months will round down to 17 years old, not up to 18 years old. Age (At Encounter) A patient's age at encounter is calculated at the time the query is run by comparing a patient s birth date and the start date of the encounter. The resulting value is then rounded down to the nearest whole number. Ethnicity Many systems only began collecting ethnicity data in the past few years, as such, roughly half of patient records will not have been updated and reported ratios are likely different from the true ratios. Y N R OT Hispanic or Latino Not Hispanic or Latino Refuse to answer

Race A patient's race is determined by how the patient identifies themselves. A race indicator is input into the system at the point of care. Many systems only began collecting Multiple Race distinctions recently so for many cases the reported race may be the primary race. 01 American Indian or Alaska Native 02 Asian 03 Black or African American 04 Native Hawaiian or Pacific Islander 05 White 06 Multiple race 07 Refuse to answer OT Sex / Gender The concepts of sex and gender are mixed in the data. Because gender identity is not currently captured as a separate variable, Sex/Gender may reflect gender assigned at birth or gender identity, depending on the patient and provider. This concept is based often based on self- or provider-report. A F M OT Ambiguous Female Male

Vital Status A patient is not assumed to be Alive if not marked deceased. Some Collaborative sites incorporate external death registries to aid in completeness. Y N Deceased Not Known to be Deceased

Diagnosis A diagnosis is applied in the process of determining which disease or condition explains a person's symptoms. Diagnoses can be associated with a patient in two ways: at the point of care or during billing for hospital or physician. The concepts in this folder focus on specific standardized codes that are used for identifying diagnoses within a patient's medical record. Additionally, there are diagnosis modifiers that allow you to specifically target how a diagnosis is associated with the patient. There are two main coding systems that are available for associating diagnoses with a patient: ICD9 and ICD10 codes. The International Classification of Diseases (ICD) is designed to map health conditions to corresponding generic categories together with specific variations. ICD codes are maintained by the World Health Organization, which periodically provides revisions and updates. ICD-9 was used until October 1, 2015, at which time all health systems switched to ICD-10. If the date range in your query crosses over October 1, 2015 and includes diagnoses, make sure to use both ICD-9 and ICD-10 codes for the condition of interest. Some sites dual-coded diagnoses leading up to the October 1 switchover, which means both ICD-9 and ICD-10 version of the diagnoses may be stored for certain windows of time. References 1. ICD9 2. ICD10 (National conversion occurred on October 1, 2015)

Encounter details General information on patient encounters is found in Encounter Details. An encounter can be described as a record of any patient interaction. This includes patient visits to the physician's office, but also non face-to-face interactions such as telephone calls. The concepts in this folder provide information regarding when the encounter happened, where it happened, and various statuses of the encounter and the patient during the encounter. More detail on these areas is provided in the sections below. Admitting Source AF AL AV ED HH HO HS IP NH RH RS SN OT Adult Foster Home Assisted Living Facility Ambulatory Visit Emergency Department Home Health Home / Self Care Hospice Acute Inpatient Hospital Nursing Home (Includes ICF) Rehabilitation Facility Residential Facility Skilled Nursing Facility

DRG The 3-digit Diagnosis Related Group (DRG) is used for reimbursement for inpatient encounters. It is a Medicare requirement that combines diagnoses into clinical concepts for billing. Frequently used in observational data analyses. 1. CMS-DRG (old system, through version 25) 2. MS-DRG (current system began usage on October 1, 2007) Discharge Disposition A E OT Discharged Alive Expired Discharge Status AF AL AM AW EX HH HO HS IP NH RH Adult Foster Home Assisted Living Facility Against Medical Advice Absent Without Leave Expired Home Health Home / Self Care Hospice Acute Inpatient Hospital Nursing Home (Includes ICF) Rehabilitation Facility

RS SH SN OT Residential Facility Still In Hospital Skilled Nursing Facility Encounter Type AV ED EI IP IS OA OT Ambulatory Visit Emergency Department Emergency Department Admit to Inpatient Hospital Stay Inpatient Hospital Stay Non-Acute Institutional Stay Ambulatory Visit Payor A patient may have multiple parties financially responsible for an encounter. When known, the payors are qualified with modifiers signifying Primary and Secondary payor status. BCBS GROUP MEDADV Commercial - Blue Cross Blue Shield Commercial - Group Health Plan Commercial - Medicare Advantage

MEDIGAP COM OTHER CHAMPVA FECA MEDICAID MEDAPP MEDICARE GOV OTHER TRICARE LIABILITY MANAGED OTHER SELF K WORKERS_COMP Commercial - Medigap Commercial - Government - Champ VA Government - FECA Black Lung Government - Medicaid Government - Medicaid - Medicaid Application Confirmed Government - Medicare Government - Government - Tricare Liability Managed Care Self-Pay Worker s Compensation

Laboratory Logic Observation Identifiers Names and s (LOINC) is a standard for identifying medical laboratory observations. Lab results are driven by LOINC codes associated with lab tests within the medical record system. Each lab result may be numeric or textual. For numeric results, the text value will indicate (E)qual to, (G)reater than, or (L)ess than. To date, the Carolinas Collaborative has harmonized a small portion of the available labs at each site. Each site has access to a wide array of lab data within their own data warehouses, and the Carolinas Collaborative plans to harmonize additional labs in the future. Curated Set Set LOINC tests A1C 4548-4 Creatine Kinase 2157-6, 12187-1, 13969-1, 20569-0, 32673-6 Creatinine 2160-0 Hemoglobin 718-7, 30313-1 INR 6301-6 LDL 2089-1, 13457-7, 18262-6 Troponin 6598-7, 10839-9, 42757-5, 49563-0 References: 1. LOINC, includes orders and results

Medications Standardized at ingredient level, in some cases Semantic Branded Drug and Semantic Clinical Drug forms may be available. References: 1. RxNorm

Procedures The concepts in this folder focus on providing specific standardized codes that are used for identifying procedures that were performed on a patient or are associated with a patient's medical record. References: 1. CPT (i.e. HCPCS Level 1) 2. HCPCS (i.e. HCPCS Level 2) 3. ICD9-CM 4. ICD10-PCS

Vitals Patient vitals provide information on some of the most common clinical and descriptive measurements associated with a patient. Vital measurements are performed at almost all clinical encounters with patients and may be recorded multiple times throughout a single patient encounter (i.e., a several-day inpatient stay). Blood Pressure VITAL:BP_DIASTOLIC VITAL:BP_SYSTOLIC Diastolic Systolic Modifiers BP_POSITION:01 BP_POSITION:02 BP_POSITION:03 BP_POSITION: BP_POSITION:OT BP_POSITION: VITAL_SOURCE:HC VITAL_SOURCE: VITAL_SOURCE:OT VITAL_SOURCE:PR VITAL_SOURCE: Sitting Standing Supine Healthcare Delivery Setting Patient-Reported

Body Mass Index (BMI) (for 25% of population) VITAL:ORIGINAL_BMI BMI Height (in inches) VITAL:HT Height Weight (in pounds) VITAL:WT Weight