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Post-SEM Emergency Department Return Visits Dataset (2017-2019)

patientligg_post_sem_all.Rd

This dataset contains information about emergency department return visits from the Patientliggaren (Patient Registry) system, following initial emergency department visits during 2017-2018. It tracks patient return visits through December 2019, providing information on demographics, visit timings, and outcomes for follow-up care after the SEM cohort period.

Usage

patientligg_post_sem_all()

Format

A data frame with observations and 13 variables:

index_contact_id

Character. Unique identifier for the initial healthcare contact/encounter, serves as a foreign key to link with the original SEM cohort visits. Original field name: IndexKontaktId

patient_id

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

chief_complaint

Character. Code representing the patient's chief complaint. Original field name: BesokOrsak_Kod

chief_complaint_description

Character. Detailed description of the chief complaint, including RETTS (Rapid Emergency Triage and Treatment System) ESS (Emergency Signs and Symptoms) number references. Original field name: BesokOrsak_Beskrivning

hospital_id

Character. Healthcare facility identifier code. Original field name: AktuellSjukhusId

hospital_name

Character. Name of the hospital where the visit occurred. Original field name: Sjukhus_Namn

arrival_time

POSIXct. Date and time when the patient arrived at the emergency department. Original field name: Vardkontakt_InskrivningDatum

discharge_time

POSIXct. Date and time when the patient was discharged from the emergency department. Original field name: Vardkontakt_UtskrivningDatum

age_at_arrival

Integer. Patient's age in years at the time of arrival. Original field name: Vardkontakt_PatientAlderVidInskrivning

discharged_to

Character. Destination or outcome at discharge (e.g., "Hemmet" = Home, "Avdelning" = Ward, "Avlidit" = Deceased). Original field name: Utskriven till

admission_ward

Character. Ward to which the patient was admitted if hospitalized. Contains NA values for patients not admitted to a ward. Original field name: Inläggningsavdelning

left_without_recommendation

Logical. Whether the patient left against medical advice (1 = Yes, 0 = No). Original field name: Avvikit mot rekommendation

admitted_to_hospital

Logical. Whether the patient was admitted to inpatient care (1 = Yes, 0 = No). Original field name: Inlagd

Source

Patientliggaren, Skåne Region

Details

This dataset captures emergency department return visits for patients in the SEM cohort through December 31, 2019. The Patientliggaren is a logistic system used by healthcare staff to track patient location and processes, and serves as a source for the SVAR (Svenska Akutvårdsregistret) system.

Unlike the SEM cohort data and the January 2019 data, this dataset does not include triage information, time-to-physician metrics, or process text fields. It focuses primarily on tracking return visits and their basic outcomes (discharge destination, hospital admission).

Each record represents a return visit to the emergency department after the initial SEM cohort contact. The index_contact_id field can be used to link back to the original visit in the SEM cohort dataset.

Note

  • This dataset omits the chief_complaint_id field (BesokOrsakId) for consistency with other datasets and because it adds little analytical value beyond the chief_complaint field

  • Unlike the SEM dataset and January 2019 dataset, this dataset does not include triage information or time-to-physician metrics

  • For patients admitted to hospital wards, the admission_ward field contains the name of the ward

  • The discharged_to field contains various destinations including "Hemmet" (Home), "Avdelning" (Ward), "Avlidit" (Deceased), and others

  • The chief_complaint_description often includes references to RETTS ESS numbers which are standardized emergency signs and symptoms codes used in triage

  • This dataset captures follow-up care and healthcare utilization patterns after the initial SEM cohort period