This indicator shows the number and proportion of medical-surgical bed-days in people with any diagnosis of diabetes compared to total medical-surgical bed-days.
Studying the variation in the number and proportion of medical-surgical bed-days in people with a diagnosis of diabetes compared to the total medical-surgical bed-days is important for several reasons, as it provides valuable insights into the health care burden, health care planning, resource allocation and quality improvement.
This indicator shows the number and proportion of medical-surgical bed-days in people with any diagnosis of diabetes compared to total medical-surgical bed-days.
Numerator detail
- Admissions in people with diabetes for any reason are included.
- Some admissions may be completely unrelated to their diabetes.
Total number of occupied bed-days for medical and surgical discharges.
Denominator exclusions
This indicator has been amended to include a filter that removes non-case mix events. This excludes some events that are included in NMDS such as mental health, rest-home hospital and events related to the health of older people. The exclusion of these events improves comparability between Health New Zealand districts.
Disaggregation
For single map analysis: By year (2018‒22), age group (0‒14 years, 15‒24 years, 25‒44 years, 45‒64 years, 65‒74 years and 75+ years), gender (female and male), ethnic group (Māori, Pacific peoples, Indian and European/other) and Health New Zealand district of domicile.
For PHO analysis: By year (2022), age group (0‒14 years, 15‒24 years, 25‒44 years, 45‒64 years, 65‒74 years and 75+ years), gender (female and male), ethnic group (Māori, Pacific peoples, Indian and European/other), PHO most recently enrolled with (for the relevant year), PHO group (small, medium, medium‒large and large).
- Data is not presented where the number of people in the numerator was less than 10. This is to preserve confidentiality.
- Ethnicity data presented is prioritised ethnic group (Māori, Pacific peoples, Indian and European/other).
- For all indicators, individuals with missing values for any of the variables of interest (age, gender, ethnicity and district) are excluded completely. For instance, if there are any missing values for age, they are excluded from all analyses. This approach ensures a consistent denominator throughout the analyses.
- For this indicator, demographic information is from the National Minimum Dataset (NMDS).
Exclusions
- People who died during the year
- People not enrolled in a PHO