About this item
- Issue date:
- 3 April 2023
- Corporate Author:
- Health New Zealand | Te Whatu Ora
- Data set, Quarterly report
- Health system
- Copyright status:
Data presented on this page shows a range of performance metrics for Te Whatu Ora for the period January to December 2022.
All performance data provides a snapshot in time and there will be variances depending on when data is uploaded on any given day. An explanation of each data set is contained within the below spreadsheets.
This data was originally taken down on 9 March 2023 as a precautionary step due to a publishing error in one of the metrics.
Across the measures, it is important to note that there are minor shifts in reported numbers; this is normal due to data constantly being updated as patient records are processed.
1 - Immunisation
Coverage is calculated as the percentage of children who turned two years of age during the period who are recorded as fully immunised for age on the National Immunisation Register (NIR), including all scheduled vaccines due between birth and age two years. This measure excludes children for whom vaccination has been declined by parents of guardians or those that have opted off the national immunisation register.
2 - ASH 0-4
Ambulatory sensitive hospitalisations (ASH) are mostly acute admissions that are considered potentially reducible through interventions deliverable in a primary care setting. Results are presented as a rate per 100,000 population. Rates are calculated as the number of ASH admissions to hospital for children aged between 0 and 4 years divided by the number of children in the population.
3 - Mental health wait times
Coverage is calculated as the percentage of young people (aged under 25) who have been referred to and seen by a specialist mental health service with a wait time of three weeks or less. Waiting times are counted from the time the referral is received for a person who has not been seen for at least a year (or not at all) to the time of the first face to face contact with a mental health professional.
4 - ASH 45-64
Ambulatory sensitive hospitalisations (ASH) are mostly acute admissions that are considered potentially reducible through interventions deliverable in a primary care setting. Results are presented as a rate per 100,000 population. Rates are calculated as the number of ASH admissions to hospital for adults aged between 45 and 64 years divided by the number of adults in the population.
5 - Acute Bed Days
Acute bed days are the number of days a person spends in hospital, following an acute admission. The acute bed days per capita rate is presented as the number of bed days for acute hospital stays per 1000 population. This measure is intended to reflect the demand for acute inpatient services on the health system.
6 - Faster Cancer Treatment
The 31-day faster cancer treatment measure is calculated as the proportion of eligible cancer patients who receive their first treatment within 31 days of a decision to treat by a health professional. The days are counted from the decision to treat date to the delivery of their first treatment.
7 - ESPI 2 - Patients waiting longer than 4 months for their first specialist assessment
Elective Services Patient Flow Indicators (ESPI) measure whether Districts are meeting the required performance standard at a number of key decision or indicator points on the person’s journey through the Planned Care system. ESPI 2 refers to Patients waiting longer than 4 months for their first specialist assessment (FSA). The goal is to have no patients waiting more than 4 months for an FSA.
8 - ESPI 5 - Patients given a commitment to treatment but not treated within 4 months
Elective Services Patient Flow Indicators (ESPI) measure whether Districts are meeting the required performance standard at a number of key decision or indicator points on the person’s journey through the Planned Care system. ESPI 5 refers to Patients given a commitment to treatment but not treated within 4 months. The goal is to ensure no patients with this status remain untreated after 4 months.
9 - Long Wait times (>12Months) for Surgery and FSA
Coverage is calculated as the total number of people in each district who have been on a planned care waitlist for more than 365 days. In an effort to address growing waitlists this is a new measure aimed at reducing the number of long wait patients.
10 - Emergency Department Presentations
Emergency Department attendances reflects the number of people who present to any emergency department.
11 - Emergency Department Admissions
Emergency Department admissions reflect the proportion of patients who are admitted to an inpatient ward directly from an emergency department. Inpatient wards can include ED short stay units such as ED observation or other wards designed to support surge capacity. Coverage is calculated as a percentage of admitted patients divided by all ED presentations.
12 - Shorter Stays in Emergency Departments
Coverage is calculated as the proportion of ED patients who were admitted, discharged, or transferred from an emergency department within six-hours. This measure excludes those people who presented to ED in error as well as those who did not wait to be seen.