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Definition

Percentage of people who saw an allied health professional or nurse in the last 12 months.

Indicator Summary

Numerator
Number of people who saw an allied health professional or nurse in the last 12 months
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Denominator

Total population

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Computation

This indicator was calculated using data from the National Health Survey (NHS) 2011–12.

Numerator refers to the number of people who saw an allied health professional or nurse in the last 12 months.

Participants in the ABS Australian Health Survey in 2011-12 were asked whether they had consulted a GP, specialist, dentist, other health professional, been admitted to the hospital, …

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Disaggregation
Medicare Local catchments and Medicare Local peer groups.
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Calculation rules

Computation Rule
Description

This indicator was calculated using data from the National Health Survey (NHS) 2011–12.

Numerator refers to the number of people who saw an allied health professional or nurse in the last 12 months.

Participants in the ABS Australian Health Survey in 2011-12 were asked whether they had consulted a GP, specialist, dentist, other health professional, been admitted to the hospital, visited an outpatient clinic, or visited emergency/casualty or a day clinic in the preceding 12 months. Only the category "other health professional" was included in this measure.

Health professionals other than a doctor or a dentist included Aboriginal Health Worker, accredited counsellor, acupuncturist, alcohol and drug worker, audiologist/audiometrist, chemist (for advice only), chiropodist/podiatrist, chiropractor, diabetes educator, dietician/nutritionist, naturopath, herbalist, hypnotherapist, nurse, occupational therapist, optician/optometrist, osteopath, physiotherapist/hydrotherapist, psychologist, social worker/welfare officer, speech therapist/pathologist or other.

The numerator was calculated as the sum of calibrated sample weights for people who responded that they saw an allied health professional or nurse and who were enumerated within the particular Medicare local catchment.

The denominator was calculated as the sum of calibrated sample weights for people who were enumerated within the Medicare Local catchment.

Person level survey weights were calibrated to independent estimates of the population of interest, referred to as 'benchmarks'. Weights calibrated against population benchmarks ensure that the survey estimates conform to independently estimated distributions of the population, rather than to the distribution within the sample itself. These benchmarks account for the distribution of people across state and territory, age group, and sex categories. Note: These benchmarks have not been calibrated for Medicare Local geography.

Analysis by remoteness and Socio-Economic Indexes for Areas (SEIFA) Index of Relative Socio-Economic Disadvantage (IRSD) is based on usual residence of person.

Presented as a percentage.

National Health Performance Authority suppression protocols

  • Additional suppression rules were developed and applied by the National Health Performance Authority to ensure robust reporting of these data at small areas.
  • These suppression rules are based on limits for Relative Standard Error1 and Confidence Interval width of 30%, with additional cross-validation for estimates close to these limits, that is plus or minus 3% of the limits. If an estimate was marginal2 with respect to Relative Standard Error, the Confidence Interval width was used as the deciding factor. If an estimate was marginal2 with respect to Confidence Interval width, then Relative Standard Error is used as the deciding factor. Data were suppressed based on the following rules:

Relative Standard Error of 33% or greater, or Confidence Interval (95%) width of 33% or greater, or

Relative Standard Error between 27% and 33%, with significantly3 wider Confidence Interval width than the average for that indicator, or

Confidence Interval width between 27% and 33%, with significantly3 wider Relative Standard Error than the average for that indicator.

1 For a dichotomous proportion, Relative Standard Error can be defined as the ratio of the standard error and the minimum of the estimate and its complement (100%-estimate).

2 In this context, marginal is defined as within 10% of the 30% limit, or +/- 3%.

3 In this context, statistical significance is defined as at least two standard deviations above average.

Numerators
Number of people who saw an allied health professional or nurse in the last 12 months
Denominators

Total population

Disaggregation
Medicare Local catchments and Medicare Local peer groups.

Comments

Origin:
Healthy Communities

References

Related content

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Data Sets that are used in this Indicator 0