Row 3359

Row ID: 3359 | Dataset Entry | Axioma AXP Content Repository

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Hello everyone! I was wondering if anyone can give their opinions on what they would do in my place.

My project looks at hospitalizations for [ambulatory care sensitive conditions](https://www.cihi.ca/en/indicators/ambulatory-care-sensitive-conditions) (ACSC) by persons with a certain condition. In Canada, we have 7 of these conditions. I used Poisson regression modelling to get the IRR for each ACSC and compared the IRR of cases and controls. I added sex (categorical), location (categorical), and age at admission (continuous) as predictors to the model.

Now, I'm thinking to show cases and controls in one table, with IRR, 95% CI, p-value. I could either make one very long table for all the ACSCs and the predictors, or separate them into 7 different tables (which I am less keen about).

Additionally, I can just make a table for ACSCs that may be more relevant to the condition of interest (some ACSCs are usually comorbid with the condition).

Does anyone have any suggestions on how I could format this?

Thank you so much in advance for your help/suggestions/recommendations! :)

FieldValue
text Hello everyone! I was wondering if anyone can give their opinions on what they would do in my place. My project looks at hospitalizations for [ambulatory care sensitive conditions](https://www.cihi.ca/en/indicators/ambulatory-care-sensitive-conditions) (ACSC) by persons with a certain condition. In Canada, we have 7 of these conditions. I used Poisson regression modelling to get the IRR for each ACSC and compared the IRR of cases and controls. I added sex (categorical), location (categorical), …
label r/epidemiology
dataType post
communityName r/epidemiology
datetime 2024-02-29
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Raw Record

{
  "text": "Hello everyone! I was wondering if anyone can give their opinions on what they would do in my place.\n\nMy project looks at hospitalizations for [ambulatory care sensitive conditions](https://www.cihi.ca/en/indicators/ambulatory-care-sensitive-conditions) (ACSC) by persons with a certain condition. In Canada, we have 7 of these conditions. I used Poisson regression modelling to get the IRR for each ACSC and compared the IRR of cases and controls. I added sex (categorical), location (categorical), and age at admission (continuous) as predictors to the model.\n\nNow, I'm thinking to show cases and controls in one table, with IRR, 95% CI, p-value. I could either make one very long table for all the ACSCs and the predictors, or separate them into 7 different tables (which I am less keen about).\n\nAdditionally, I can just make a table for ACSCs that may be more relevant to the condition of interest (some ACSCs are usually comorbid with the condition).\n\nDoes anyone have any suggestions on how I could format this?\n\nThank you so much in advance for your help/suggestions/recommendations! :)",
  "label": "r/epidemiology",
  "dataType": "post",
  "communityName": "r/epidemiology",
  "datetime": "2024-02-29",
  "username_encoded": "Z0FBQUFBQm5LakwxckFBemlfVUtLdnhfbmJPQ1RNTHNFdEF5V3FvV1FYSWNiNU85UnllbnlGcnlZOE5YRjlsRGxuV05WejJaU3c5Y0pVVHdaaENYa3hhWEFGUGhZaVV1YUE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9FTDBOQkhSY1kwbUpjdjExYzNVd0NMcmlQNVZfRmZHdmpmRVpuajE0LU1VZmFIZVpXa21qQjdKNkNOYm05Zk5NeTd0czFPYUdOb2ZFbjNBWFVTX25VUzZIVGgzeUp5UEw2Q3JIS0xHWTJWTFp0Y0pNeEQwbnpvNDhfOE55MVFrd0xrWGRzLUg5Z0tkZHlXbUZQY2FZQk1laFN4V1ZwZlZkaVBQOGVEVjdSUkFpVDY2LVBibERiTGJ1X1UwUEZ3cTJ2MDRtOFVudEZIT3ZwZ0VtU3BDbVJCZz09"
}
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