Wait times

Wait times reflect the length of time between the day when a tangata whai ora is referred to a mental health or addiction service and the day when that tangata whai ora is first seen by the service.

Data available through February 2022, sourced from a March 23, 2022 refresh of the PRIMHD DataMart.

Please note:

  • MidCentral DHB data is only complete to December 2021
  • Waikato DHB data is only complete to September 2021
  • Auckland DHB data was last submitted in December 2021
  • Bay of Plenty DHB data is incomplete after October 2021.

Data visualisations

National quarterly summary

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Individual DHB summaries

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Exploration

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National quarterly summary

This report provides a national overview of wait times within a single financial quarter. It includes the % of tāngata whai ora seen within 21 days (3 weeks) and the % seen within 56 days (8 weeks). Both of these values are also compared against the previous quarter and the same quarter in the previous year.

The distribution of wait times to both the 1st and 3rd in-scope activities are provided by DHB (both in number of service episodes and % of service episodes) and also by demographics (age, ethnicity and gender).

The entire report can be filtered by financial quarter and initial team type, as well as age at service start.

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Individual DHB summaries

This report provides individual DHB summaries of wait times data. It includes the % of tāngata whai ora seen within 21 days (3 weeks) and the % seen within 56 days (8 weeks). Both values are also compared against the previous quarter, the same quarter in the previous year, and the national total for the same quarter.

The distributions of wait times to both the 1st and 3rd in-scope activities are provided by demographics (age, ethnicity and gender) as both count of service episodes and % of service episodes. The average days to 1st and 3rd in-scope activity are also compared.

Raw data is provided for crosscheck in your local system.

The entire report can be filtered by financial quarter, DHB, and initial team type, as well as age at service start.

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Exploration

This exploration tool allows you to slice and dice the wait times data in many different ways.

Calculations include:
– Wait time distribution (by # or by % of service episodes, to either 1st or 3rd activity)
– Average days to either 1st or 3rd activity
– % seen within X days (either 1st or 3rd activity)

Filters include:
– 1st in-scope activity type
– Client type
– Team type
as well as the standard time and demographics fields

Split fields include:
– Months
– DHBs
– Age+ethnicity
– Ethnicity+gender
– Age+gender
– Age+ethnicity+gender

Drill down to raw data from any portion of your sliced data charts, to crosscheck in your local system or to explore further.

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