Table 1.
Demographic characteristics of the patient population.
Fig 1.
Annual distributions of diagnoses per admission between 2000 and 2023.
The left-hand panel shows annual distributions of unique diagnoses per admission. The middle panel shows the annual distributions of admission durations, in days. The right-hand panel shows the annual distributions of daily admission rate. All plots show the normalised density plots, annual median value (circle), as well as intervals (lines).
Fig 2.
Yearly mean number of diagnoses per admission, stratified by ICD-10 chapter, for the chapters of ICD-10, excluding “XV - Pregnancy, childbirth and the puerperium”.
Blue triangles show the mean annual diagnoses per admission, and orange circles show the mean annual diagnoses per admission with repeated admissions for an individual patient included.
Table 2.
Comparison of the mean number of unique diagnoses per hospital admission, between 2000 and 2023, stratified by chapters of ICD-10. The table shows absolute and relative changes in the number of diagnoses, by chapter, from a total of 2.72 diagnoses per admission in 2000 to 10.43 diagnoses per admission in 2023, an increase of 284% (275%, 293%). The table also shows 95% confidence intervals and the results of a Mann-Kendall (MK) trend test as a Kendall’s tau statistic and associated two-sided p-value to identify consistently increasing or decreasing trends. All p-values have been adjusted for multiple comparisons by the Holm method.
Fig 3.
Annual distributions of diagnoses per admission between 2000 and 2023 stratified by age group.
The plots show the normalised density plots, annual median value (circle), as well as intervals (lines).
Fig 4.
Annual distributions of diagnoses per admission between 2000 and 2023 stratified by the total number of previous life-time admissions to the hospital, for all patients born since the year 2000.
The plots show the normalised density plots, annual median value (circle), as well as intervals (lines). Periods with fewer than 100 admissions have been omitted.