Definition
Components
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Data Element ConceptEstablishment—full-time equivalent staff (paid) (mental health consumer and carer workers)
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Object ClassEstablishment
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PropertyFull-time equivalent staff
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Value DomainAverage full-time equivalent staff NNNN.NN
Representation
This representation is based on the value domain for this data element, more information is available at " Average full-time equivalent staff NNNN.NN ".Data Type | Number |
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Format | NNNN.NN |
Maximum character length | 6 |
Comments
Guide for use:
Includes mental health consumer workers and mental health carer workers employed by the organisation on a full-time or part-time salaried basis.
The average is to be calculated from pay period figures. The length of the pay period is assumed to be a fortnight.
If under the relevant award of agreement a full-time nurse is paid for an 80 (ordinary time) hour fortnight, the full-time equivalent for a part-time nurse who works 64 hours is 0.8. If a full-time nurse under the same award is paid for a 100 hours for that fortnight (20 hours overtime), then the full-time equivalent is 100 divided by 80 = 1.25.
Data on full-time equivalent staffing numbers by category should be consistent with data on salaries and wages by staffing category. If the full-time equivalent for contract staff is not collected then salaries for those contract staff should be included in other recurrent expenditure data items.
Where staff provide services to more than one establishment, full-time equivalent staff members should be apportioned between all establishments to which services are provided on the basis of hours paid for in each (salary costs should be apportioned on the same basis).
Comments:
This metadata item was amended during 1996-97. Until then, both average and end of year counts of full-time equivalent staff were included, and the end of year counts used as surrogates for the average counts if the latter were unavailable. The average count is more useful for accurate analysis of staffing inputs for establishment outputs and for assessments and comparisons of labour costs.