Friday, January 20, 2023

 

SARS-COV-2 in French Hospitals, 2021-2022 continued



In my previous summary of quarterly statistics for 2021 and 2022 (yesterday) we were left with a question: why were discharges to go home so much higher in 2022-Q1 when patient-days were not so different from those in 2021-Q1?

To get some clues, I looked at the same statistics for each of the ten age brackets commonly reported.  However, I did not fetch datasets of thousands of numbers (730 days x 10 brackets per statistic), I used data I had already fetched and formatted with snapshots each Friday. The "discharged to return home" should be very close, varying from the all-patients only because my Fridays may not align perfectly with the quarter boundaries, and some (few) cases may lack age data so be missing from my figures.  To get a rough estimate of duration of  hospitalisations I need number of patient-days; that is where the lack of daily data may make a difference.  I summed the thirteen Friday levels of each quarter and multiplied by 7,  as if each level applied to every day of its week.  The results are quite close to the totals in the previous post, certainly good enough for the heavily-rounded duration estimates.

discharges by age


  group       2021-Q1      2022-Q1   '22 vs '21 
---------     --------    --------   ---------
 0-9 ans          568        9,323   +1541 %
   10-19          878        4,265   + 386 %
   20-29        2,805        9,478   + 238 %
   30-39        4,727       12,089   + 156 %
   40-49        6,959        8,490   +  22 %
   50-59       12,671       12,001   -   5 %
   60-69       17,398       17,734   +   2 %
   70-79       21,345       23,207   +   9 %
   80-89       24,166       28,175   +  17 %
90 et plus     11,262       14,620   +  30 % 

Observation: much of the increase year-on-year is indeed due to more younger patients.

Does stay duration vary by age?

  group       2022-Q1
--------     ---------
 0-9 ans       <4 days
   10-19       <7 days
   20-29        6 days
   30-39       <7 days
   40-49       11 days
   50-59       16 days
   60-69       20 days
   70-79       22 days
   80-89       22 days
90 et plus     22 days

Estimation made by dividing patient-days by number of patients discharged in the quarter.

This does change from quarter to quarter, but the progression from shortest for youngest to longest for oldest remains stable--except some slightly too-high figures for the 10-19 year old bracket during the last three quarters.  That teen group is the least-present, so perhaps the longer stays are because only exceptionally ill teens are involved.




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