• No results found

NEW ZEALAND INJURY PREVENTION STRATEGY SERIOUS INJURY OUTCOME INDICATORS

N/A
N/A
Protected

Academic year: 2021

Share "NEW ZEALAND INJURY PREVENTION STRATEGY SERIOUS INJURY OUTCOME INDICATORS"

Copied!
5
0
0

Loading.... (view fulltext now)

Full text

(1)
(2)

CONTENTS

TABLES

Table 1 New Zealand Injury Prevention Strategy serious injury outcome indicators 170

FIGURES

Figure 1 Motor vehicle traffic crash fatal injury age standardised rate (M12) 170 Figure 2 Motor vehicle traffic crash serious non-fatal injury age standardised rate (M02) 171 Figure 3 Motor vehicle traffic crash serious (fatal and non-fatal) injury age standardised rate (M22) 171

(3)

NOTES

1. The New Zealand Injury Prevention Strategy (NZIPS) The NZIPS is an expression of the government’s commitment to working with organisations and groups in the wider community to improve the country’s injury prevention performance. The Strategy’s vision is “a safe New Zealand, becoming injury free”. (For further details see www.nzips.govt.nz.)

‘Motor vehicle traffic crashes’ is one of the six priority areas identified in the strategy.

2. NZIPS serious injury indicators

Official serious injury outcome indicators have been developed for each of the six priority areas as the main means of measuring performance in reducing injury.

Chart books with the full set of indicators can be found by visiting the Statistics NZ website:

www.statistics.govt.nz and searching for NZIPS serious injury indicators

Several of the official NZIPS indicators for motor vehicle traffic crashes are presented in this section.

3. What is a serious injury?

The definition of serious injury adopted for the official NZIPS indicators is: serious injuries are those that result in death or an admission to hospital that is associated with at least a 5.9 percent chance of death. The methods by which cases of fatal and serious non-fatal injury are identified are described briefly in The New Zealand Injury Prevention Strategy Injury Indicators:

Technical Report. The technical report can be found on the Statistics NZ website.

4. The graphs Time period

Where possible, the period presented for serious non-fatal injuries is 2000 to 2012. For fatal injuries, the period presented is 2000 to 2010. Because many cases of injury-related death are required to be reviewed by a Coroner, there is a time delay in the recording of the cause of fatal injury. Hence, 2010 is the most recent year available for the mortality data.

Baseline

The ‘baseline’ provides a point from which to compare the frequencies and rates of injuries. It is the average count or rate of injury for the three years leading up to the launch of NZIPS (2001-2003).

Confidence intervals

Each bar on each chart has confidence intervals shown as vertical lines. These give an indication of the amount of random variation associated with a single year’s indicator value. Where wide confidence intervals are displayed, little weight should be given to the variation from one year to the next — it could be due to chance alone. When considering trends, observing the degree of overlap of confidence intervals for individual bars (years) is helpful as an aid to interpretation of trends. If confidence intervals do not overlap the baseline, this is indicative of a change from baseline that is unlikely to be due to chance alone.

5. Age standardised rates

Age standardised rates provide an estimate of an individual’s average annual risk of being injured. Age standardisation is a process of adjusting the rates of injury to account for changes in the age structure of a population over time. It allows comparison of the rates of injury from one year to another, taking into account the ageing population.

(4)

TABLE 1: NEW ZEALAND INJURY PREVENTION STRATEGY SERIOUS INJURY OUTCOME INDICATORS

NUMBER OF SERIOUS INJURIES AGE STANDARDISED RATE

(PER 100,000 PERSON YEARS AT RISK)

Year Fatal injury Serious non-fatal injury

Fatal and serious

injury Fatal injury Serious non-fatal injury

Fatal and serious injury

M11 M01 M21 M12 M02 M22

2000 441 1689 2130 11.5 44.0 55.5

2001 440 1618 2058 11.4 41.9 53.3

2002 422 1472 1894 10.7 37.4 48.1

2003 465 1624 2089 11.5 40.3 51.9

2004 437 1480 1917 10.7 36.1 46.8

2005 405 1647 2052 9.7 39.7 49.5

2006 391 1648 2039 9.3 39.2 48.4

2007 427 1661 2088 10.0 39.0 49.0

2008 365 1585 1950 8.4 36.8 45.3

2009 394 1530 1924 9.0 35.0 44.1

2010 383 1508 1891 8.5 33.9 42.4

2011 1461 32.5

2012 1418 31.1

Fatal injury Ministry of Health Mortality Collection Non-fatal injury Ministry of Health National Minimum Data Set Population Statistics New Zealand

FIGURE 1: MOTOR VEHICLE TRAFFIC CRASH FATAL INJURY AGE STANDARDISED RATE (M12)

0 2 4 6 8 10 12 14

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

Rate (per 100,000 person years at risk)

Year

Baseline

NOTE: !

NUMERATOR SOURCE: Ministry of Health Mortality Collection DENOMINATOR SOURCE: Statistics New Zealand

(5)

FIGURE 2: MOTOR VEHICLE TRAFFIC CRASH SERIOUS NON-FATAL INJURY AGE STANDARDISED RATE (M02)

FIGURE 3: MOTOR VEHICLE TRAFFIC CRASH SERIOUS (FATAL AND NON-FATAL) INJURY AGE STANDARDISED RATE (M22)

0 5 10 15 20 25 30 35 40 45 50

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

Rate (per 100,000 person years at risk)

Year

Baseline

!!!!!!

0 10 20 30 40 50 60 70

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

Rate (per 100,000 person years at risk)

Year

Baseline NOTE: 2012 data are provisional

NUMERATOR SOURCE: Ministry of Health National Minimum Data Set DENOMINATOR SOURCE: Statistics New Zealand

NOTE:

NUMERATOR SOURCE: Ministry of Health National Minimum Data Set and Mortality Collection DENOMINATOR SOURCE: Statistics New Zealand

References

Related documents

Her identification of ‘visceral performance’, and her approach to interpreting it, is especially persuasive in relation to immersive performance: the proximity of performing

 Enrolment, Retention, Learning achievement, Social interaction, Community participation, Health and nutrition/ Quality of food, Acceptance of Mid Day Meal,

The following example shows taking a quick profit on a candlestick reversal pattern, or riding the new trend starting just from the

Test-suite based repair consists in repairing programs according to a test suite, which contains both passing test cases as a specification of the expected behavior of the program

Our proposed globally sparse PLS algorithm is able to achieve as good or better performance with fewer predictor variables and fewer components as compared to competing methods.. It

Most often, conventional Raman microspectroscopy is applied for the interrogation of biological material, but other techniques such as the use of a fiber-optic probe (for in vivo

Perhaps the most common example of using disclosure survey is the results of two surveys conducted by the Financial Analysts Federation (FAF) / the Association for