Heavy menstrual bleeding clinical care standard indicators: 8-Hospital rate of hysterectomy per 100 episodes
Indicator Attributes
Identifying and definitional attributes | |
Metadata item type: | Indicator |
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Indicator type: | Indicator |
Short name: | Indicator 8-Hospital rate of hysterectomy per 100 episodes |
METEOR identifier: | 667347 |
Registration status: | Health!, Standard 17/10/2018 |
Description: | Hospital rate of hysterectomy per 100 episodes. |
Indicator set: | Clinical care standard indicators: heavy menstrual bleeding Health!, Standard 17/10/2018 |
Collection and usage attributes | |
Population group age from: | Females 15 to 55 years. |
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Computation description: | Note that this indicator only applies to principal referral hospitals, hospitals in public acute groups A, B and C, and Specialist Women's Hospitals (see AIHW 2015). It does not apply to the smaller acute hospitals (i.e. group D) due to the very low numbers of hysterectomies undertaken in these hospitals. The national reference population is available from the Australian Commission on Safety and Quality in Health Care: https://www.safetyandquality.gov.au/our-work/clinical-care-standards/heavy-menstrual-bleeding/. Computation of the numerator: 1. Obtain episodes of admitted patient care for the hospital that meet all the following criteria:
2. Obtain number of hysterectomy episodes for the hospital:
3. Calculate age-specific hospital rates for hysterectomy:
4. Obtain the national reference population for the peer group of the hospital from the Australian Commission on Safety and Quality in Health Care website. The national reference population is the number of episodes by hospital peer group, stratified by five-year age groups, meeting the following criteria:
5. Apply the age-specific hospital rates for hysterectomy by five-year age group (from step 3) to the national reference population (see step 4). 6. From the data obtained at step 5, sum the number of episodes in each five-year age group to derive the total sum of episodes of hysterectomy that would have occurred if the hospital age rates were experienced amongst hospitals in the national reference population (for the hospital peer group). Computation of the denominator: 1. Sum the number of episodes from the national reference population for the hospital peer group, from step 4 above. |
Computation: | (Numerator ÷ Denominator) x 100 |
Numerator: | The number of hysterectomy episodes that would occur if the age-specific rates of hysterectomy from the reporting hospital were applied to the national reference population (for the hospital peer group) |
Numerator data elements: | |
Denominator: | The number of episodes from the national reference population (for the hospital peer group). |
Denominator data elements: | |
Comments: | This indicator can be used to screen for potentially inappropriate hysterectomies. If a hospital has a rate that is as high or higher than the peer group rate, it should investigate hysterectomies undertaken to assess their appropriateness. |
Representational attributes | |
Representation class: | Rate |
Data type: | Real |
Unit of measure: | Episode |
Format: | N[NN] |
Accountability attributes | |
Other issues caveats: | Applicable settings: Public and private hospitals. |
Source and reference attributes | |
Submitting organisation: | Australian Commission on Safety and Quality in Health Care |
Reference documents: | AIHW (Australian Institute of Health and Welfare) 2015. Australian hospital peer groups: Health services series no. 66. Cat. no. HSE 170. Canberra: AIHW. |