Bronchiolitis bronchopneumonia and pneumonia Indicator Breast reduction
W
Description
Bronchiolitis bronchopneumonia and pneumonia Indicator Breast reduction
Document Sample


Technical specification: Emergency admissions for children with lower respiratory infections
NHS Performance Indicator 6 (ii),
Clinical Indicator 7A
Emergency admissions to hospital of children aged under 16 with
lower respiratory infections, per 100,000 resident children
e303c7a5-d927-49ae-9cc9-e3d213872ff2.doc, 13/07/10 Page 1
Technical specification: Emergency admissions for children with lower respiratory infections
PART A: TECHNICAL SPECIFICATION
1. Purpose:
1.1. To help monitor NHS success in prevention and treatment outside hospital, for example, for the children’s
indicators: smoking reduction, especially in young mothers; improved uptake and continuation of breast feeding;
better support for young parents in the care of their children and in management of illnesses in the home by
prevention, support such as Sure Start and easing access to health advice and therapy through NHS Direct and
enhanced primary care. These form part of the NHS plan targets to reduce inequalities in childhood morbidity
and mortality. There are similar interventions available to prevent some strokes and hip fractures.
2. Rationale:
2.1. Respiratory infections form one of the commonest reasons for hospital admission in childhood especially in
infants. Between 1 and 3 % of all babies experience an admission with bronchiolitis and about 2.5 % of all child
admissions are for pneumonia. Emergency admission rates in children, especially under age 5 years for lower
respiratory infections - bronchiolitis, bronchopneumonia and pneumonia- reflect a variety of influences. Rates
vary across the country but are increased in areas of socio-economic deprivation. They also vary between health
authorities even when social deprivation is taken into account and then probably reflect variation in access to and
expectation of health services and also clinical practice. There are linkages between higher breast feeding and
reduction of exposure to tobacco smoke- preventive measures which reduce both incidence and severity of
infections. Much childhood morbidity and a significant proportion of childhood mortality results from these
lower respiratory infections. Thus its choice as a clinical indicator will enable trends for improvement to be
monitored which should result from a variety of current policy interventions in health promotion, health care and
parental support.
3. Definition of indicator and its variants:
3.1. The indirectly age and sex-standardised rate per 100,000 resident children of emergency admissions to hospital
with lower respiratory infections.
3.2. Data are presented for the financial years 1998-99, 1999-2000, 2000-01, standardised using 1998-99 data.
3.3. Results are given by emergency method of admission and Health Authority of residence, for Health Authorities in
England.
3.4. Health Authority boundaries are as at April 2001.
4. Numerator:
4.1. Numerator data – The number of finished consultant admission episodes (epiorder 1) for ages 0-15, with an
emergency method of admission and with any of the following primary diagnoses :
Bronchiolitis, bronchopneumonia and pneumonia
J10.0 Influenza with pneumonia virus identified
J11.0 Influenza with pneumonia, virus not identified
J11.1 Influenza with other respiratory manifestations, virus not identified (bronchiolitis with influenza)
J12.- Viral pneumonia nec
J13 Pneumonia due to Streptococcus pneumoniae
J14 Pneumonia due to Haemophilus influenzae
J15.- Bacterial pneumonia nec
J16.- Pneumonia due to other infectious organisms nec
J18.0 Bronchopneumonia, unspecified
J18.1 Lobar pneumonia
J18.9 Pneumonia unspecified
J21.- Acute bronchiolitis.
e303c7a5-d927-49ae-9cc9-e3d213872ff2.doc, 13/07/10 Page 2
Technical specification: Emergency admissions for children with lower respiratory infections
4.2. Source of numerator data – Hospital Episode Statistics for the financial year ending 31 March, England.
4.3. Comments on numerator data –
It is important, for the purposes of measuring incidence, to count persons as opposed to episodes of care, as each
person with the condition should only be counted once. This is done by counting admission episodes (epiorder 1)
only. Some transfers, which are also coded epiorder 1 and miscoded emergency could lead to double counting,
however, the numbers are likely to be very small.
Data are not linked across years, thus each year’s analysis relates to the episodes recorded for that HES year.
Spells are counted to the Health Authority of residence, based on the numerator.
There is variation in the completeness of hospital records and quality of coding (see Data Quality Indicators).
These show the proportion of diagnoses not coded.
There may be variation in the procedures for coding diagnoses to the various fields in each episode, particularly
primary diagnosis. For instance, Trusts may code diagnoses chronologically or according to the degree of
complexity. This may affect comparability of the data.
The fields that are needed for the calculation of this indicator are shown at para 15 below.
5. Denominator:
5.1. Denominator data – Mid-year estimates of resident populations for the specified ages, based on 1991 census, of
each Health Authority.
5.2. Source of denominator data – Office for National Statistics.
5.3. Comments on denominator data –
The population figures used are ONS final mid-year population estimates for 1998, 1999 and 2000 derived from
the 1991 census, with allowance for subsequent births, deaths, migration and ageing of the population.
6. Statistical Methods:
6.1. The section on ‘Explanation of Standardisation Methodology’ describes the methods used for indirect
standardisation and estimation of confidence intervals.
7. Interpretation of indicator:
7.1. Type of indicator – This is a condition specific, cross-sectional annual comparative indicator, acting as a proxy
for outcome. In the absence of an absolute standard, comparative data are useful for monitoring in relation to
rates achieved in comparable institutions/areas.
7.2. Quality of Indicator – The sensitivity, specificity, repeatability and responsiveness to change of the indicator has
yet to be tested.
7.3. Confidence Intervals – 95%. Some of the values and factors influencing them may be chance occurrences, with
values fluctuating at random between organisations and from year to year. Numbers of admissions may be small
at individual Health Authority level. The results should therefore be interpreted with caution and with the aid of
confidence intervals. The 95% confidence interval provides a measure of the statistical precision of the rate for an
area or institution. It indicates a range which, with 95% confidence, will contain the underlying value of the
indicator. If the confidence interval for an area’s rate is outside the range of the national confidence intervals, the
difference between the two rates is considered statistically significant. If the confidence intervals for two rates
overlap, in most cases the difference between the rates would not be considered statistically significant.
7.4. Effect of case-mix/severity – A number of factors outside the control of hospitals, such as the socio-economic mix
of local populations and events prior to hospitalisation, may contribute to the variation shown by the indicators.
Differences in case-mix, concurrent illnesses and other potential risk factors also contribute to the variation. The
data available do not allow adjustment for any of these factors.
e303c7a5-d927-49ae-9cc9-e3d213872ff2.doc, 13/07/10 Page 3
Technical specification: Emergency admissions for children with lower respiratory infections
7.5. Other potential confounding factors – The patterns of providing care may vary between Health Authorities in
terms of: extent of treatment in primary care settings; referral policies and practices; hospital outpatient
facilities/walk-in clinics; and hospital inpatient admission policies and practices for children.
8. Potential value of indicator:
8.1. To stimulate discussion and encourage local investigation, and to lead to improvement in data quality and quality
of care.
9. Potential for follow-up action leading to change:
9.1. Examples of follow-up studies will be published in due course.
10. Relevant national initiatives:
10.1. Reduction in hospital admission for lower respiratory infections is one of the selected SureStart targets, reduction
of gradients in morbidity forms a major part of the targets for the NHS Plan. A new programme of health visiting
and school nursing will be implemented including revisions of the universal child health surveillance programme
anticipated in 2001. All these initiatives from part of the children 's taskforce and National Service Framework
programme of work.
11. Further reading:
Ashley, M. J., Ferrence, R. (1998). Reducing children's exposure to environmental Tobacco smoke in homes: issues and
strategies. Tob Control 7: 61-65.
Bauchner H., Leventhal J.M., Shapiro E.D. Studies of breastfeeding and infections. How good is the evidence?
Journal of the American Medical Association. (1986).256,887-892.
Beaudry M, Dufour R, Marcoux S. Relation between infant feeding and infections during the first six months of life. J
Pediatr. 1995;126:191-197.
Chen Y. Synergistic effect of passive smoking and artificial feeding on hospitalization for respiratory illness in early
childhood. Chest. 1989;95:1004-1007.
Department of Health / National Centre for Health Outcomes Development. Compendium of Clinical and Health
Indicators 2000. London: National Centre for Health Outcomes Development, 2000.
Dewey K.G., Heinig M.J., Nommsen-Rivers L.A. Differences in morbidity between breastfed and Formula fed infants.
Journal of Paediatrics 1995; 126:696-702.
Frank AL, Taber LH, Glezen WP, et al. Breast-feeding and respiratory virus infection. Pediatrics. 1982;70:239-245.
Hawker J, Babatunde Olowokure, Sufi F, Weinberg J, O. Gill N, Wilson W. Social inequalities and hospital admission
for respiratory infection. W Midlands PHLS : submitted 2000.
Heinig M.J., Dewey K.G. Health advantages of breastfeeding for infants. Critical review. Nutrition Research Reviews
1996; 9: 89-110.
Howie P.W., Forsyth J.S., Ogston S.A., Clark A Florey C., Protective effect of breastfeeding against infection. British
Medical Journal, 1990; 300: 11-16.
MacFaul R, Jones S, and Werneke U Clinical training experience in district general hospitals Arch. Dis. Child. 2000
83: 39-44.
Spencer N, Logan S , Scholey S , Gentle S, Deprivation and bronchiolitis. Arch. Dis. Child. 1996 74: 50-52.
Taylor, J., Spencer, N., Baldwin;, N., Sturge;, C., Speight, ANP, Hoghughi, M. Current topic: Social, economic, and
political context of parenting. Arch. Dis. Child. 2000 , 82: 113-120.
e303c7a5-d927-49ae-9cc9-e3d213872ff2.doc, 13/07/10 Page 4
Technical specification: Emergency admissions for children with lower respiratory infections
Wilson A., Forsyth S., Greene S., Irvine L., Hau C., Howie P. Relation of infant diet to childhood health: seven year
follow up of cohort of children in Dundee infant feeding study. British Medical Journal. 1998; 316, 21-25.
Wright AI, Holberg CJ, Martinez FD, et al. Breast feeding and lower respiratory tract illness in the first year of life.
British Medical Journal. 1989;299:945-949.
Wright AL, Holberg CJ, Taussig LM, et al. Relationship of infant feeding to recurrent wheezing at age 6 years. Arch
Pediatr Adolesc Med. 1995;149:758-763
e303c7a5-d927-49ae-9cc9-e3d213872ff2.doc, 13/07/10 Page 5
Technical specification: Emergency admissions for children with lower respiratory infections
PART B: ALGORITHM USED TO PRODUCE INDICATOR CI 7
12. Fields needed for calculating indicator (see paras 18 and 19 for details)
12.1 This indicator is based on the following information:
13.1.1. Fields from the admissionepisod:
SEX, ADMIMETH, STARTAGE, DIAG_1, RESHA,EPIORDER,EPISTAT
13. Numerator data:
13.1 The Numerator is the number of admission episodes which have:
a valid primary diagnosis; valid diagnoses are listed in 4.1
13.2 Counts by:
age / sex / admimeth / Health Authority
where:
age bands are <1, 1-4, 5-9, 10-15
sex is 1, 2 (male and female),
emergency admission = admimeth 21,22,23,24,28
Counts are Health Authority of residence (values for England are aggregates of these).
14. Denominator data:
14.1. Mid-year estimates of resident populations (aged 0-15 years), based on 1991 census, of each Health Authority.
14.2. Counts by:
age / sex / admimeth / Health Authority
where:
age bands are <1, 1-4, 5-9, 10-15
sex is 1, 2 (male and female),
Counts are Health Authority of residence (values for England are aggregates of these).
e303c7a5-d927-49ae-9cc9-e3d213872ff2.doc, 13/07/10 Page 6
Indicator 1 - Technical specification: Rates of deaths in hospital within 30 days of surgery
15. HES fields used for deriving this indicator
HES field Description of field Field used for HES codes used for indicator
Epistat Finished/unfinished consultant episode Indicator numerator 3
Sex Sex Indicator numerator 1, 2
Epiorder Episode order Indicator numerator 01
Admimeth Method of admission Indicator numerator Emer: 21,22,23,24,28
Startage Age at the start of a finished consultant Indicator numerator 0-15
episode
Diag_1 Primary diagnosis Indicator numerator Valid, eligible codes only (see para
13.1)
Resha Health Authority of residence Indicator numerator
e303c7a5-d927-49ae-9cc9-e3d213872ff2.doc, 13/07/10 Page 7
Get documents about "