Admission to the intensive care unit (ICU) is vital for surviving critical illness. An admission to ICU without having a consistent structure, structured review of the patient and a solid team organization lead to unclear communication and responsibility. Factors that correlate with patient acceptance and safety, morbidity and mortality. The hypothesize was that a structured admission can improve patients safety, reduce delays in treatment, reduce ICU length of stay, and improve mortality rate. The overall objective was to optimize patient safety, and effectively use available resources to reduce admission time, delays in treatment and procedures and mortality by using both quantitative and qualitative methods.
The quantitative before-data is a one-year observational period prior to the intervention measured by different perspectives; patients and staff outcomes. After the intervention, was qualititive data collected from participants, who received simulation training. The quantitative after-data is a one-year observational period post-intervention with same outcomes as before starting the intervention. Data is already collected registry data from hospital quality assurance board. Data will be compared before and after with assessor blinded analysis. Missing data will not be replaced but reported as missing. The investigators will try to compare the results with data from an approximately comparative ICU in Denmark due to the implementation of a new patient management system called the Health Portal. The statistical analysis plan is based on descriptive and comparative analyses of the group before and after the trial. The quantitative results are explained in in-depths description from participants.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Enrollment
1,800
A structured ICU admission was inspired by principles of Crisis Resource Management and simulation training of ICU staff members. The Principles of Crisis Resource Management consisted of a treatment manual, a learning video, clear precise communication tool based on Identification-Situation-Background-Analysis-Recommendations (ISBAR) and Closed loop, actions cards, and ABCDE-evaluation of the patient including debriefing, and training in the simulation environment.
Department of Anaestesiology
Holbæk, Denmark
ICU length of stay (LOS)
Days admitted at the ICU using registre data
Time frame: through study completion, an average of 1 year
Hospital length of stay (LOS)
Days admitted to the hospital using registre data
Time frame: At Hospital discharge within one-year before and after the intervention implementation
Line Sepsis
Treatment package of number of the line sepsis after ICU admission covering the number of patients with line sepsis using registre data on Lactat \<1 hour, bacteria samples ≤1 hour taken, time between diagnosis of sepsis and taken bacteria samples, time between diagnosis and given antibiotics measured by registre data
Time frame: through study completion, an average of 1 year
Ventilated associated pneumonia (VAP)
Number of VAP measured by registre data
Time frame: through study completion, an average of 1 year
Re-intubations
Number of re-intubations measured by registre data
Time frame: through study completion, an average of 1 year
30-days Mortality
30-days mortality rates after ICU discharge measured by registre data
Time frame: 30 days through study completion, an average of 1 year
90-days Mortality
90-days mortality rates after ICU discharge measured by registre data
Time frame: 90 days through study completion, an average of 1 year
Staff turn-over
Staff turn-over before and after the intervention measured by registre data
Time frame: through study completion, an average of 1 year
Sick Leave
Sick leave amongst staff members measured by registre data
Time frame: through study completion, an average of 1 year
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.