6.9 Average length of stay for stroke patients aged 65 years and over, major and large public hospitals, 2012–13
Indicator Attributes
Identifying and definitional attributes | |
Metadata item type:![]() | Indicator |
---|---|
Indicator type:![]() | Indicator |
Short name:![]() | Stroke average length of stay in hospital by peer group, 65 years and over, 2012-13 |
Synonymous names:![]() | ALOS stroke |
METEOR identifier:![]() | 601266 |
Registration status:![]() |
|
Description:![]() | Average (mean) length of stay (number of days) for multi-day stay stroke patients aged 65 years and over, major and large public hospitals, 2012-13 |
Indicator set:![]() | Australian Atlas of Healthcare Variation |
Collection and usage attributes | |
Population group age from:![]() | 65 years and over |
---|---|
Computation description:![]() | Presented as the average number of days, by hospital Only hospitals in the major and large peer groups and which had at least 10 separations were included in the analysis. For more information about these peer groups see /content/index.phtml/itemId/584666 To calculate the average length of stay the key unit that records information about a patient's stay in hospital is called an 'episode of admitted patient care'. This records information about the patient and the care they received in hospital, including:
Exclusions: The average length of stay indicator relates only to acute patients with a multi-day, or overnight, stay. The following episodes of care are excluded from all reported measures:
Outlier removal: Episodes determined to be extreme long stay outliers were removed. Outlier bounds are derived for each AR-DRG. The method selected for deriving national level outlier bounds uses the inter-quartile ranges as the guide for outlier exclusion. The method of detecting extreme outliers (mEO) is as follows: mEO = Q3 + k*(Q3-Q1) Where Q1 equals the 25th percentile value Q3 equals the 75th percentile value k equals non-negative values of a constant. Sensitivity analysis was conducted to identify k and resulted in k=10 being selected. |
Computation:![]() | Numerator ÷ denominator |
Numerator:![]() | Number of overnight bed days at major and large public hospitals attributable to stroke in patients aged 65 years and over in 2012-13. |
Numerator data elements:![]() | |
Denominator:![]() | Number of multi-day stays in hospital for people aged 65 years and over attributable to a stroke for a major or large public hospital. |
Denominator data elements:![]() | |
Disaggregation:![]() | Disaggregation is by:
|
Disaggregation data elements:![]() | |
Representational attributes | |
Representation class:![]() | Mean (average) |
Data type:![]() | Time period |
Unit of measure:![]() | Time (e.g. days, hours) |
Format:![]() | Days, rounded to 1dp |
Data source attributes | |
Data sources:![]() | |
Accountability attributes | |
Reporting requirements:![]() | Australian Commission of Safety and Quality in Health Care's Atlas of Healthcare Variation, released November 2015 |
Organisation responsible for providing data:![]() | Australian Institute of Health and Welfare |
Accountability:![]() | Australian Commission of Safety and Quality in Health Care |
Source and reference attributes | |
Submitting organisation:![]() | National Health Performance Authority |