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Number of potentially preventable hospitalisations - chronic obstructive pulmonary disease (COPD) per 100,000 people of all ages, 2014-15 to 2017-18

Identifying and definitional attributes

Metadata item type:Help on this termIndicator
Indicator type:Help on this termIndicator
Short name:Help on this termChronic obstructive pulmonary disease (COPD) hospitalisations, 2014-15 to 2017-18
METeOR identifier:Help on this term724575
Registration status:Help on this termAustralian Commission on Safety and Quality in Health Care, Standard 27/04/2021
Description:Help on this term

Number of potentially preventable hospitalisations - COPD per 100,000 people, all ages, age and sex standardised. 

Indicator set:Help on this termAustralian Atlas of Healthcare Variation 2021 Australian Commission on Safety and Quality in Health Care, Standard 27/04/2021
Quality statement:Help on this termNational Healthcare Agreement: PI 18-Selected potentially preventable hospitalisations, 2018 QS Health, Standard 30/01/2018

Collection and usage attributes

Population group age from:Help on this term

All ages

Computation description:Help on this term

Inclusion codes, description and additional requirements:

ICD-10-AM (8th to 10th editions) diagnosis code Description Additional requirements
J20 Acute bronchitis

Include all codes from the three-character levels.

As principal diagnosis.

Only with additional diagnoses of J41, J42, J43, J44.

J41 Simple and mucopurulent chronic bronchitis

Include all codes from the three-character levels.

As principal diagnosis.

J42 Unspecified chronic bronchitis As principal diagnosis.
J43 Emphysema

Include all codes from the three-character levels.

As principal diagnosis.

J44 Other chronic obstructive pulmonary disease

Include all codes from the three-character levels.

As principal diagnosis.

Exclusion codes and description

Care type  Description
7.3 Newborn—unqualified days only
9.0 Organ procurement—posthumous
10.0 Hospital boarder

 

Presented as a number of hospitalisations per 100,000 people.

Rates are directly age- and sex- standardised, to the 30 June 2001 Australian population, using 5-year age groups: 0-4, 5-9, … , 80-84, 85 and over.

Indigenous and other Australian rates are directly age and sex standardised, to the 30 June 2001 Australian population, using 5-year age groups: 0-4, 5-9, … , 60–64, 65 and over.

Population estimates at 31 December are calculatd as an average of the 30 June population estimates before and after the relevant December to derive a midpoint (31 December) population estimate.

For more information about age-standardisation in general see glossary item Age-standardised rate. 

Analysis by Statistical Area Level 3 (SA3) 2016 is based on:

  •  Statistical Area Level 2 (SA2) 2011 of usual residence of the patient for 2014-15 to 2016-17, converted to SA3 (ASGS 2016) equivalents through an ABS concordance file
  • SA2 2016 of usual resident of the patient for 2017-18.

Suppress data (number and rate) if at least one of the following conditions are met:

•  the total denominator is less than 1,000

•  the total numerator is less than 20 

Age and sex standardised rates are also suppressed where the denominator for at least one of the age and sex groups used to calculate the rate is below 30 and results of sensitivity analysis indicate that the rates are volatile. However, for SA3 data, if the volatility of the rate is not found to have a material impact on its decile, the rate is published with caution. For more information about the sensitivity analysis, see the Technical supplement of the Fourth Atlas.

Consequential suppression may be applied to preserve confidentialised data.

Computation:Help on this term

100,000 × (Numerator ÷ Denominator)

Numerator:Help on this term

Number of Chronic obstructive pulmonary disease (COPD) hospitalisations, 2014-15 to 2017-18

Numerator data elements:Help on this term
Data Element / Data SetEpisode of care—principal diagnosis, code (ICD-10-AM 8th edn) ANN{.N[N]}
Data Source
National Hospital Morbidity Database (NHMD)
NMDS / DSS
Admitted patient care NMDS 2014-15
Guide for use

Data source type: Administrative by-product data


Data Element / Data SetEpisode of care—principal diagnosis, code (ICD-10-AM 9th edn) ANN{.N[N]}
Data Source
National Hospital Morbidity Database (NHMD)
NMDS / DSS
Admitted patient care NMDS 2015-16
Guide for use

Data source type: Administrative by-product data


Data Element / Data SetEpisode of care—principal diagnosis, code (ICD-10-AM 9th edn) ANN{.N[N]}
Data Source
National Hospital Morbidity Database (NHMD)
NMDS / DSS
Admitted patient care NMDS 2016-17
Guide for use

Data source type: Administrative by-product data


Data Element / Data SetEpisode of care—principal diagnosis, code (ICD-10-AM 10th edn) ANN{.N[N]}
Data Source
National Hospital Morbidity Database (NHMD)
NMDS / DSS
Admitted patient care NMDS 2017-18
Guide for use

Data source type: Administrative by-product data


Data Element / Data SetPerson—date of birth, DDMMYYYY
Data Source
National Hospital Morbidity Database (NHMD)
Guide for use

Admitted patient care NMDS 2014-15 to 2017-18

Data source type: Administrative by-product data


Data Element / Data SetEpisode of admitted patient care—admission date, DDMMYYYY
Data Source
National Hospital Morbidity Database (NHMD)
Guide for use

Admitted patient care NMDS 2014-15 to 2017-18

Data source type: Administrative by-product data


Data Element / Data SetPerson—sex, code A
Data Source
National Hospital Morbidity Database (NHMD)
Guide for use

Admitted patient care NMDS 2014-15 to 2017-18

Data source type: Administrative by-product data


Data Element / Data SetHospital service—care type, code N[N]
Data Source
National Hospital Morbidity Database (NHMD)
Guide for use

Admitted patient care NMDS 2014-15 to 2017-18

Data source type: Administrative by-product data


Data Element / Data SetEpisode of care—additional diagnosis, code (ICD-10-AM 8th edn) ANN{.N[N]}
Data Source
National Hospital Morbidity Database (NHMD)
NMDS / DSS
Admitted patient care NMDS 2014-15
Guide for use

Data source type: Administrative by-product data


Data Element / Data SetEpisode of care—additional diagnosis, code (ICD-10-AM 9th edn) ANN{.N[N]}
Data Source
National Hospital Morbidity Database (NHMD)
NMDS / DSS
Admitted patient care NMDS 2015-16
Guide for use

Data source type: Administrative by-product data


Data Element / Data SetEpisode of care—additional diagnosis, code (ICD-10-AM 9th edn) ANN{.N[N]}
Data Source
National Hospital Morbidity Database (NHMD)
NMDS / DSS
Admitted patient care NMDS 2016-17
Guide for use

Data source type: Administrative by-product data


Data Element / Data SetEpisode of care—additional diagnosis, code (ICD-10-AM 10th edn) ANN{.N[N]}
Data Source
National Hospital Morbidity Database (NHMD)
NMDS / DSS
Admitted patient care NMDS 2017-18
Guide for use

Data source type: Administrative by-product data


Denominator:Help on this term

Total population as at 31 December 2014, 31 December 2015, 31 December 2016 and 31 December 2017.

Denominator data elements:Help on this term
Data Element / Data SetPerson—estimated resident population of Australia, total people N[N(7)]
Data Source
ABS Australian Demographic Statistics
Guide for use

Data source type: Census based plus administrative by-product data.


Data Element / Data SetPerson—estimated resident population of Australia, total people N[N(7)]
Data Source
ABS Regional Population by Age and Sex, Australia
Guide for use

Data source type: Census based plus administrative by-product data


Data Element / Data SetPerson—estimated resident population of Australia, total people N[N(7)]
Data Source
ABS Indigenous estimates and projections (2016 Census-based)
Guide for use

Data source type: Census based plus administrative by-product data


Disaggregation:Help on this term

SA3 2016 

Remoteness (ASGS Remoteness structure 2016) 
Socio-Economic Indexes for Areas (SEIFA 2016) Index of Relative Socioeconomic Disadvantage (IRSD 2016)

Primary Health Network (PHN) 2017

State and territory by Aboriginal and Torres Islander status.

Disaggregation data elements:Help on this term
Data Element / Data SetPerson—area of usual residence, statistical area level 2 (SA2) code (ASGS 2016) N(9)
Data Source
National Hospital Morbidity Database (NHMD)
Guide for use

Data source type: Administrative by-product data


Data Element / Data SetPerson—Indigenous status, code N
Data Source
National Hospital Morbidity Database (NHMD)
Guide for use

Data source type: Administrative by-product data


Representational attributes

Representation class:Help on this termRate
Data type:Help on this termInteger
Unit of measure:Help on this termEpisode
Format:Help on this term

N[NNNN]

Data source attributes

Data sources:Help on this term
Data SourceNational Hospital Morbidity Database (NHMD)
Frequency
Annual
Data custodian

Australian Institute of Health and Welfare



Data SourceABS Australian Demographic Statistics
Frequency
Quarterly
Data custodian

Australian Bureau of Statistics



Data SourceABS Regional Population by Age and Sex, Australia
Frequency
Annually
Data custodian

Australian Bureau of Statistics



Data SourceABS Indigenous estimates and projections (2016 Census-based)
Frequency
Periodic
Data custodian

Australian Bureau of Statistics


Accountability attributes

Methodology:Help on this term

Statistical Area Level 3 (SA3s) are geographic areas defined in the ABS Australian Statistical Geography Standard (ASGS). The aim of SA3s is to create a standard framework for the analysis of ABS data at the regional level through clustering groups of SA2s that have similar regional characteristics. There are 340 spatial SA3s covering the whole of Australia without gaps or overlaps. They are designed to provide a regional breakdown of Australia. SA3s generally have a population of between 30,000 and 130,000 people. There are approximately 78 with fewer than 30,000 people and 46 with more than 130,000 as at 30 June 2016. The Other Territories of Jervis Bay, Cocos (Keeling) Islands, Christmas Island and Norfolk Island are each represented by a SA3 in the 2016 ASGS. 

For further information see the ABS publication, Population by Age and Sex, Regions of Australia, 2016. 

 

The scope of the NHMD is episodes of care for admitted patients in all public and private acute and psychiatric hospitals, free-standing day hospital facilities and alcohol and drug treatment centres in Australia. Hospitals operated by the Australian Defence Force, corrections authorities and in Australia's off-shore territories are not in scope, but some are included. 

Reporting requirements:Help on this term

Australian Commission on Safety and Quality in Health Care

Australian Atlas of Healthcare Variation 2021

 

Organisation responsible for providing data:Help on this term

Australian Institute of Health and Welfare

Accountability:Help on this term

Australian Commission on Safety and Quality in Health Care

Release date:Help on this term28/04/2021

Source and reference attributes

Submitting organisation:Help on this term

Australian Commission on Safety and Quality in Health Care

Reference documents:Help on this term

For more information about potentially preventable hospitalisations see:

National Healthcare Agreement: PI 18- Selected potentially preventable hospitalisations, 2019 

Australian Atlas of Healthcare Variation 2017: Technical Supplement 

Relational attributes

Related metadata references:Help on this term

See also ABS Estimated resident population (total population), QS Health, Standard 08/06/2011

See also ABS Indigenous experimental estimates and projections, QS Health, Standard 08/06/2011, Indigenous, Endorsed 11/09/2012

See also Australian Atlas of Healthcare Variation: Number of potentially preventable hospitalisations - chronic obstructive pulmonary disease, per 100,000 people, 2014–15 Australian Commission on Safety and Quality in Health Care, Standard 07/06/2017

See also Data quality statement: Admitted Patient Care 2015-16 AIHW Data Quality Statements, Endorsed 27/11/2019

See also Data quality statement: Admitted Patient Care 2016-17 AIHW Data Quality Statements, Endorsed 27/11/2019

See also Data quality statement: Admitted Patient Care 2017-18 AIHW Data Quality Statements, Endorsed 27/11/2019

See also Data quality statement: National Hospital Morbidity Database 2014–15 AIHW Data Quality Statements, Endorsed 31/08/2016

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