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SEM Intensive Care Unit Registry Dataset (2017-2019)

pasiva_sem.Rd

This dataset contains information about intensive care unit (ICU) admissions during 2017-2019 from the Pasiva ICU registry system. It includes details about which patients spent time in an ICU during their hospital stay, including the specific ICU unit and admission timing.

Usage

pasiva_sem()

Format

A data frame with 592 observations and 7 variables:

contact_id

Character. Unique identifier for each healthcare contact/encounter, serves as a foreign key to link with other datasets, including specific care events in the Patientliggaren (patligg) files. Original field name: KontaktId

patient_id

Integer. Patient pseudonym identifier, serves as a foreign key to link with other patient-level data. Original field name: Alias

icu_name

Character. Full name of the intensive care unit. 4 unique values: "SUS Lund IVA" (40.0%), "Kristianstad IVA" (30.4%), "Ystad IVA" (25.7%), "SUS Lund NIVA" (3.9%). Original field name: Iva

icu_type

Character. Type of intensive care unit. 4 unique values: "HIA" (92.9%, cardiac intensive care), "NIVA" (4.4%, neurological intensive care), "THIVA" (2.4%, thoracic intensive care), "HIA, Malmö" (0.3%). Original field name: Namn

icu_code

Character. Short code for the type of ICU. 4 unique values: "HIA" (92.9%), "NIVA" (4.4%), "THI" (2.4%), "HIA, Mö" (0.3%). Original field name: Beteckning

icu_admission_time

POSIXct. Date and time when the patient was admitted to the ICU. Date range: 2017-01-03 to 2019-01-12. Distribution by year: 2017 (52.9%), 2018 (46.8%), 2019 (0.3%). Original field name: StartTidpunkt

department_id

Numeric. Internal identifier for the department. 4 unique values: 16 (40.0%), 11 (30.4%), 31 (25.7%), 18 (3.9%). Original field name: infRegAvdId

Source

Pasiva ICU Registry, Skåne Region

Details

This dataset captures ICU admissions within 30 days for patients in the SEM cohort from the Pasiva ICU registry. It provides information about which patients required intensive care during their hospital stay, which is not always captured in the Patientliggaren (ED registry) data that only records where patients went directly from the emergency department.

The majority of ICU admissions (92.9%) were to cardiac intensive care units (HIA), with smaller proportions to neurological (NIVA) and thoracic (THIVA) intensive care units. The data spans primarily 2017-2018, with just two admissions in early January 2019.

This dataset complements both the Melior electronic health record data and the Patientliggaren data by specifically tracking intensive care utilization, even when patients weren't directly admitted to ICU from the emergency department. The filename indicates it captures ICU care within 30 days of the healthcare contact (Inom30Dagar).

Note

  • Several fields from the original dataset have been omitted for efficiency:

    • SjukhusId (hospital_id): Numeric identifier that is redundant with information already contained in the icu_name field

    • Id (icu_id): Numeric identifier for the specific ICU that adds little analytical value beyond what is captured in the icu_name, icu_type, and icu_code fields

  • The icu_name field provides the full name of the ICU, including the hospital name

  • The icu_type field (Namn) and icu_code field (Beteckning) contain similar information but with slight differences in naming conventions

  • HIA stands for "Hjärtintensivavdelning" (Cardiac Intensive Care Unit)

  • NIVA stands for "Neurointensivvårdsavdelning" (Neurological Intensive Care Unit)

  • THIVA stands for "Thoraxintensivvårdsavdelning" (Thoracic Intensive Care Unit)

  • This dataset does not include the end time/discharge time from the ICU, only the admission time

  • The dataset can be linked to other SEM cohort datasets via contact_id and patient_id

  • The contact_id field specifically allows linking to individual care events in the Patientliggaren (patligg) files