National Healthcare Agreement: P24-GP-type services, 2010
Identifying and definitional attributes
|Metadata item type:||Indicator|
|Indicator type:||Output measure|
|Short name:||GP-type services, 2010|
|Description:||GP-type service use per 1,000 population.|
|Indicator set:||National Healthcare Agreement (2010)|
Health, Superseded 08/06/2011
|Outcome area:||Primary and Community Health|
Health, Standard 07/07/2010
|Quality statement:||National Healthcare Agreement: P24-GP-type services, 2010 QS Health, Superseded 08/06/2011|
Collection and usage attributes
|Computation description:||Includes GP/VRGP non-referred attendances; Enhanced primary care; Practice nurse services; Other non-referred attendances
The definition of non-referred (GP) attendances is kept consistent with Medical Benefits Schedule (MBS) classifications. GP-type services are defined by MBS items under broad type of services groups A, B, M and O.
Presented per 1,000 population.Rates are directly age-standardised to the Australian population as at 30 June 2001.
|Computation:||1,000 x (Numerator ÷ Denominator)|
|Numerator:||Number of non-referred (GP) attendances claimed through the Medicare Benefits Schedule.|
|Numerator data elements:|
|Denominator data elements:|
|Disaggregation data elements:|
|Comments:||Specified disaggregation: Nationally and by state/territory (of residence of patient): by Indigenous status, remoteness area and SEIFA of residence.
Available disaggregation: Nationally and by state/territory (of residence of patient): by remoteness area and SEIFA of residence.
Data for 2008-09 will be available in 2009.Most recent data available for 2010 CRC baseline report: 2008-09 with caveats
|Unit of measure:||Person|
Indicator conceptual framework
|Framework and dimensions:||Accessibility|
Data source attributes
Australian Bureau of Statistics
Department of Health
|Reporting requirements:||National Healthcare Agreement|
|Organisation responsible for providing data:||Department of Health and Ageing / Australian Institute of Health and Welfare.|
|Further data development / collection required:||Specification: Long-term
Work needs to continue to improve the Voluntary Indigenous Identifier (VII) in the Medicare database. This includes the development of an adjustment factor using data from a currently available sample.
|Other issues caveats:||MBS item numbers change over time and need to be updated as required.
Disaggregations within individual jurisdictions are subject to data quality considerations.
In order to enhance the value of the differential service use data, it would be helpful to analyse service use in relation to estimated need for services. For example, actual and need-adjusted service use rates could be compared (e.g. van Doorslaer et al 2004, 2006; Mathers 1994) across socioeconomic areas, remoteness areas or by Indigenous status. Need could be estimated based on population health survey data about, for example, self-assessed health status and long-term health conditions.The Department of Veterans' Affairs (DVA) was identified as a data source, but due to lack of data availability it has not been included in the calculation this reporting cycle. Inclusion of DVA data in future reporting depends on advice from the department.
Source and reference attributes
|Related metadata references:|
See also National Healthcare Agreement: P14-Waiting times for GP's, 2010
See also National Healthcare Agreement: P16-People deferring recommended treatment due to financial barriers, 2010
See also National Healthcare Agreement: P22-Selected potentially preventable hospitalisations, 2010
See also National Healthcare Agreement: P23-Selected potentially avoidable GP-type presentations to emergency departments, 2010
See also National Healthcare Agreement: P25-Specialist services claimed through Medicare, 2010
See also National Healthcare Agreement: P35-Waiting times for emergency department care, 2010
See also National Healthcare Agreement: P65-Net growth in health workforce, 2010
Has been superseded by National Healthcare Agreement: PI 24-GP-type services, 2011
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