NHS Performance Indicators : July 2000 |
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| HA Level Indicators | Data Table | Specification |
All indicators, where possible, use the 3 most recently available sets of data; e.g. HES based indicators use 1998-99, 1997-98 and 1996-97.
In the June 1999 High Level Performance Indicator (HLPI) and Clinical Indicator (CI) publications, direct standardisation was used to age standardise with the European standard population (ESP) as the standard. The indicators were not standardised for sex.
In this year’s Performance Indicators publication, there are three changes to the method used for standardisation:
These changes bring the method of standardisation in line with that used for the Scottish and Welsh clinical indicators.
REASONS FOR CHANGE
The main reasons behind the change in standardisation methodology are:
Note – The "Our Healthier Nation" indicators in Area 1 (1iv, 1v, 1vi, 1vii and 1viii) remain directly age- standardised to the European Standard Population in line with OHN policy. The use of the European Standard Population allows the possibility of European comparisons for these indicators.
METHOD
The age and sex specific rates for England are applied to the Health Authority/Trust age and sex specific populations, to generate the numbers of events (by age and sex) that would be expected in the Health Authority/Trust if it had the same rates as England.
The ratio of the total of these expected events to the total observed events for the Health Authority/Trust gives the indirectly standardised ratio for the Health Authority/Trust. The ratios are then converted into rates by multiplying them by the crude rate for England. The age groups used in the standardisation process are as follows:
<1, 1-4, 5-9, 10-14, …, 85+.
For the CIs, the age and sex specific rates for England for each indicator for each year are used as the reference for standardisation.
For example, for CI 1 the age and sex specific perioperative mortality rates for England in 1998-99 are applied to the age and sex specific numbers of inpatient spells with an operative procedure in each Health Authority/Trust in 1998-99 to obtain the number of "expected" deaths. For CI 4 the age and sex specific readmission rates for England are applied to the age and sex specific numbers of admissions in each Health Authority/Trust to obtain the number of "expected" readmissions. And so on for the other indicators.
NOTES:
Worked examples are given below for an HLPI and a CI.
HLPIs: Worked Example
Consider the following data for HLPI 3vi, component 1 for HA X:
|
Age range |
HA asthma admissions, x(j) |
HA population, n(j) |
England asthma admissions, xs(j) |
England population, ns(j) |
||||
|
j |
Male |
Female |
Male |
Female |
Male |
Female |
Male |
Female |
|
0 |
15 |
7 |
2453 |
2014 |
1790 |
659 |
306982 |
292343 |
|
1-4 |
89 |
45 |
9344 |
9112 |
11167 |
5643 |
1269671 |
1205375 |
|
5-9 |
35 |
29 |
11951 |
12045 |
4294 |
2376 |
1672504 |
1591836 |
|
10-14 |
20 |
19 |
9971 |
9765 |
2682 |
2177 |
1612712 |
1528465 |
|
15-19 |
4 |
17 |
10276 |
9943 |
1180 |
2246 |
1558288 |
1474536 |
|
20-24 |
2 |
11 |
11080 |
11201 |
1045 |
2213 |
1494077 |
1427002 |
|
25-29 |
4 |
9 |
14589 |
13943 |
1256 |
2300 |
1890723 |
1794013 |
|
30-34 |
12 |
11 |
16778 |
15643 |
1200 |
2188 |
2087414 |
1992725 |
|
35-39 |
10 |
29 |
15032 |
14157 |
931 |
1971 |
1948348 |
1878082 |
|
40-44 |
6 |
11 |
12834 |
11693 |
855 |
1714 |
1655145 |
1635575 |
|
45-49 |
3 |
8 |
10907 |
11219 |
872 |
1728 |
1606494 |
1603542 |
|
50-54 |
8 |
12 |
10210 |
10845 |
907 |
1545 |
1647615 |
1653993 |
|
55-59 |
8 |
7 |
6995 |
9176 |
832 |
1455 |
1265270 |
1282857 |
|
60-64 |
4 |
9 |
7234 |
7634 |
818 |
1264 |
1150518 |
1189447 |
|
65-69 |
2 |
11 |
5978 |
7126 |
782 |
1331 |
1032916 |
1140345 |
|
70-74 |
2 |
15 |
4003 |
5432 |
657 |
1116 |
880282 |
1073878 |
|
75-79 |
3 |
5 |
3793 |
5783 |
458 |
959 |
683480 |
987552 |
|
80-84 |
8 |
2 |
1632 |
3829 |
299 |
673 |
361739 |
661470 |
|
85+ |
2 |
4 |
1732 |
3561 |
133 |
492 |
253860 |
703508 |
|
Total |
237 |
261 |
166792 |
174121 |
32158 |
34050 |
24378038 |
25116544 |
Expected asthma admissions are then calculated for each sex and age group using the formula:
Expected no. admissions = ![]()
where n(j) = population in age group j in HA X
xs(j) = number of occurrences in age group j in the standard population
ns(j) = population in age group j in the standard population
So for age 0, expected no. male admissions = 2453*(1790/306982)
= 14.3
expected no. female admissions = 2014*(659/292343)
= 4.5
The full set of expected admissions is shown in the table overleaf:
|
Age range |
Expected admissions e(j) |
|
|
j |
Male |
Female |
|
0 |
14.3 |
4.5 |
|
1-4 |
82.2 |
42.7 |
|
5-9 |
30.7 |
18.0 |
|
10-14 |
16.6 |
13.9 |
|
15-19 |
7.8 |
15.1 |
|
20-24 |
7.7 |
17.4 |
|
25-29 |
9.7 |
17.9 |
|
30-34 |
9.6 |
17.2 |
|
35-39 |
7.2 |
14.9 |
|
40-44 |
6.6 |
12.3 |
|
45-49 |
5.9 |
12.1 |
|
50-54 |
5.6 |
10.1 |
|
55-59 |
4.6 |
10.4 |
|
60-64 |
5.1 |
8.1 |
|
65-69 |
4.5 |
8.3 |
|
70-74 |
3.0 |
5.6 |
|
75-79 |
2.5 |
5.6 |
|
80-84 |
1.3 |
3.9 |
|
85+ |
0.9 |
2.5 |
|
Total |
226.0 |
240.5 |
The standardised ratio (SR) for persons is then calculated as:
SR =
= 
Where x(j) = number of observed occurrences in age group j for HA X
e(j) = number of expected occurrences in age group j for HA X
So in the example, SR = (237+261)/(226.0+240.5)
= 1.068
The final indicator value is then produced by multiplying through by the England crude rate per 100,000:
indicator value =
SR * England crude rate
So in the example, England crude rate = ((32158+34050)/(24378038+25116544))*100000
= 133.8
Hence indicator value per 100,000 = 1.068 * 133.8
= 142.9
This crude rate multiplication is used in both the Scottish and Welsh clinical indicators and is done in order to produce a more useable and interpretable final value.
(Note – For the HLPIs for all 3 years worth of data (1996/97, 1997/98 and 1998/99) the standardised ratio will be multiplied through by the crude rate for England for 1998/99.)
CIs: Worked Example
Consider the following data for CI 2 (rates of deaths in hospital within 30 days of emergency admission with hip fracture) for patients aged 65 and over:
|
Age range |
HA/Trust X |
England |
||||||
|
Numerator |
Denominator |
Numerator |
Denominator |
|||||
|
Denom spells where patient dies <30 days x(j) |
Spells with emer admission for hip fracture n(j) |
Denom spells where patient dies <30 days xs(j) |
Spells with emer admission for hip fracture ns(j) |
|||||
|
j |
Male |
Female |
Male |
Female |
Male |
Female |
Male |
Female |
|
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
8 |
|
1-4 |
0 |
0 |
0 |
0 |
0 |
1 |
33 |
32 |
|
5-9 |
0 |
0 |
0 |
0 |
0 |
0 |
30 |
23 |
|
10-14 |
0 |
0 |
0 |
1 |
0 |
0 |
85 |
38 |
|
15-19 |
0 |
0 |
1 |
1 |
0 |
0 |
66 |
8 |
|
20-24 |
0 |
0 |
0 |
3 |
0 |
0 |
69 |
13 |
|
25-29 |
0 |
0 |
1 |
1 |
0 |
1 |
82 |
29 |
|
30-34 |
0 |
0 |
0 |
0 |
0 |
1 |
97 |
29 |
|
35-39 |
0 |
0 |
3 |
0 |
2 |
0 |
133 |
46 |
|
40-44 |
0 |
0 |
2 |
1 |
1 |
1 |
138 |
70 |
|
45-49 |
0 |
0 |
2 |
0 |
1 |
0 |
190 |
115 |
|
50-54 |
0 |
0 |
1 |
2 |
7 |
4 |
267 |
313 |
|
55-59 |
0 |
0 |
4 |
4 |
11 |
5 |
354 |
425 |
|
60-64 |
0 |
0 |
6 |
14 |
8 |
13 |
439 |
813 |
|
65-69 |
0 |
1 |
9 |
33 |
24 |
45 |
695 |
1657 |
|
70-74 |
0 |
1 |
10 |
35 |
66 |
133 |
1098 |
3315 |
|
75-79 |
0 |
5 |
20 |
76 |
197 |
330 |
1778 |
6514 |
|
80-84 |
6 |
10 |
22 |
93 |
270 |
531 |
1877 |
8451 |
|
85+ |
8 |
23 |
34 |
172 |
635 |
1861 |
2949 |
16782 |
|
Total |
14 |
40 |
115 |
436 |
1222 |
2926 |
10385 |
38681 |
|
Total 65+ |
14 |
40 |
95 |
409 |
1192 |
2900 |
8397 |
36719 |
Expected hip fracture admissions are calculated for each sex and age group using the formula:
Expected no. admissions = ![]()
n(j) = population in age group j in HA/Trust X
xs(j) = number of occurrences in age group j in the standard population
ns(j) = population in age group j in the standard population
So for age 80-84, expected no. male admissions = 22*(270/1877)
= 3.16
expected no. female admissions = 93*(531/8451)
= 5.84
The full set of expected admissions is shown in the table overleaf:
|
Age range |
HA/Trust X |
|
|
Expected admissions e(j) |
||
|
j |
Male |
Female |
|
0 |
0.00 |
0.00 |
|
1-4 |
0.00 |
0.00 |
|
5-9 |
0.00 |
0.00 |
|
10-14 |
0.00 |
0.00 |
|
15-19 |
0.00 |
0.00 |
|
20-24 |
0.00 |
0.00 |
|
25-29 |
0.00 |
0.03 |
|
30-34 |
0.00 |
0.00 |
|
35-39 |
0.05 |
0.00 |
|
40-44 |
0.01 |
0.01 |
|
45-49 |
0.01 |
0.00 |
|
50-54 |
0.03 |
0.03 |
|
55-59 |
0.12 |
0.05 |
|
60-64 |
0.11 |
0.22 |
|
65-69 |
0.31 |
0.90 |
|
70-74 |
0.60 |
1.40 |
|
75-79 |
2.22 |
3.85 |
|
80-84 |
3.16 |
5.84 |
|
85+ |
7.32 |
19.07 |
|
Total |
13.94 |
31.41 |
|
Total 65+ |
13.61 |
31.07 |
The standardised ratio (SR) for persons aged 65 and over is then calculated as:
SR =
=
Where x(65+) = number of observed occurrences in age group 65+ for HA/Trust X
e(65+) = number of expected occurrences in age group 65+ for HA/Trust X
So in the example, SR = (14+40)/(13.61+31.07)
= 1.2086
The final indicator value is then produced by multiplying through by the England crude rate per 100,000:
indicator value = SR * England crude rate
So in the example, England crude rate = ((1192+2900)/(8397+36719))*100000
= 9069.95
Hence indicator value per 100,000 = 1.2086*9069.95
= 10961.9
This crude rate multiplication is used in both the Scottish and Welsh clinical indicators and is done in order to produce a more useable and interpretable final value.
Confidence Intervals
The lower limits (LL) and upper limits (UL) for the SMR are obtained prior to multiplying through by the crude rate. By exploiting the general relationship between confidence limits and test statistics, the limits may be found by solution of equations involving Poisson probabilities, for which Byar’s approximation is sufficiently accurate. For a 95% confidence interval, Byar’s approximation gives:
LL =
* 100 *
UL =
* 100 *
where x is the observed number of events and e is the expected number of events.
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Last updated July 2000.