Hi,
my team has a 6-month dataset of individual patients in the emergency departments of three hospitals. Variables include demographics (sex, gender), time of arrival and departure (and thus length-of-stay), and which diagnoses the patient received. In addition, we have registered the triage category, which reflects the degree of emergency (red is most urgent, followed by orange, yellow and green).
We have performed simple analyses such as median length-of-stay at the three hospitals, categorized by groups of diagnoses, and categorized by triage category.
We now want to analyze variations of the length-of-stay. Our questions include:
- [Graphical representation] How does the length-of-stay vary during the day and week?
- [Graphical representation and/or table] How does the number of patients that are in the emergency department at the same time, affect length-of-stay?
- [Regression?] What are the most important factors contributing to a long length-of-stay?
I have attached a few graphs from a similar project. How can we make graphs such as these?
The text is in Norwegian, so here is an explanation: The first graph shows median length-of-stay in hours (y-axis) for the four triage categories, on each day of the week (x-axis). The second graph shows number of patients (y-axis) on each day of the week (x-axis), and the colors represent percentiles for the study period.
We use SPSS. I acknowledge that this thread contains many questions, but I am thankful for all help.
my team has a 6-month dataset of individual patients in the emergency departments of three hospitals. Variables include demographics (sex, gender), time of arrival and departure (and thus length-of-stay), and which diagnoses the patient received. In addition, we have registered the triage category, which reflects the degree of emergency (red is most urgent, followed by orange, yellow and green).
We have performed simple analyses such as median length-of-stay at the three hospitals, categorized by groups of diagnoses, and categorized by triage category.
We now want to analyze variations of the length-of-stay. Our questions include:
- [Graphical representation] How does the length-of-stay vary during the day and week?
- [Graphical representation and/or table] How does the number of patients that are in the emergency department at the same time, affect length-of-stay?
- [Regression?] What are the most important factors contributing to a long length-of-stay?
I have attached a few graphs from a similar project. How can we make graphs such as these?
The text is in Norwegian, so here is an explanation: The first graph shows median length-of-stay in hours (y-axis) for the four triage categories, on each day of the week (x-axis). The second graph shows number of patients (y-axis) on each day of the week (x-axis), and the colors represent percentiles for the study period.
We use SPSS. I acknowledge that this thread contains many questions, but I am thankful for all help.
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