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TRENDS IN PAEDIATRIC TRENDS IN PAEDIATRIC HOSPITAL ADMISSION - PowerPoint PPT Presentation

TRENDS IN PAEDIATRIC TRENDS IN PAEDIATRIC HOSPITAL ADMISSION HOSPITAL ADMISSION AND PRESCRIBING FOR AND PRESCRIBING FOR ASTHMA IN IRELAND ASTHMA IN IRELAND OVER A TEN YEAR STUDY OVER A TEN YEAR STUDY PERIOD. PERIOD. Dr. Anne OFarrell,


  1. TRENDS IN PAEDIATRIC TRENDS IN PAEDIATRIC HOSPITAL ADMISSION HOSPITAL ADMISSION AND PRESCRIBING FOR AND PRESCRIBING FOR ASTHMA IN IRELAND ASTHMA IN IRELAND OVER A TEN YEAR STUDY OVER A TEN YEAR STUDY PERIOD. PERIOD. Dr. Anne O’Farrell, Dr. Davida De La Dr. Anne O’Farrell, Dr. Davida De La Harpe, Harpe, Dr. Kathleen Bennett, Dr. Howard Dr. Kathleen Bennett, Dr. Howard Johnson Johnson

  2. Background: Background:  Ireland has the 4 Ireland has the 4 th highest recorded rate of asthma th highest recorded rate of asthma in the world and its prevalence worldwide is rising. 1 in the world and its prevalence worldwide is rising. 1  However, hospital admissions for asthma have However, hospital admissions for asthma have decreased in many developed countries. decreased in many developed countries.  It has been hypothesised that this downward trend It has been hypothesised that this downward trend in hospitalisations may be due to better prescribing in hospitalisations may be due to better prescribing and better primary care. 2 and better primary care. 2 Asher et al et al (2006) Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and (2006) Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and 1 1 . Asher . eczema in childhood: ISAAC Phases One and Three repeat multi-country cross-sectional surveys. Lancet, eczema in childhood: ISAAC Phases One and Three repeat multi-country cross-sectional surveys. Lancet, 368: 368: 733–434. 733–434. 2 Korhonen et al, (2002). Hospitalization trends for paediatric asthma in eastern Finland:a 10-yr survey. Korhonen et al, (2002). Hospitalization trends for paediatric asthma in eastern Finland:a 10-yr survey. 2 Eur Respir J., 19: 19: 1035–1039 1035–1039 Eur Respir J.,

  3. Background: Background:  No published studies in Ireland on No published studies in Ireland on examining trends in hospital examining trends in hospital admission in children with asthma admission in children with asthma and the possible association between and the possible association between prescribing patterns for asthma prescribing patterns for asthma medications. medications.

  4. Aim of the study: Aim of the study:  To investigate ten year hospital To investigate ten year hospital admissions and prescribing trends for admissions and prescribing trends for children with asthma in Ireland. children with asthma in Ireland.

  5. Method: Method:  Data extracted from Health Atlas database Data extracted from Health Atlas database  Morbidity data Morbidity data based on HIPE data. All hospital based on HIPE data. All hospital discharges for patients aged <15 years with principal discharges for patients aged <15 years with principal diagnosis of asthma (ICD-9 Codes 493) from 2000-2004 diagnosis of asthma (ICD-9 Codes 493) from 2000-2004 and (ICD-10 Codes J45-J46) from 2005-2009. and (ICD-10 Codes J45-J46) from 2005-2009.  Prescribing data Prescribing data based on Primary Care Re- based on Primary Care Re- imbursement System (PCRS). Asthma-related drugs imbursement System (PCRS). Asthma-related drugs were identified using ATC Codes R03 were identified using ATC Codes R03

  6. Statistical analyses: Statistical analyses:  Data analysed using JMP, SAS and Data analysed using JMP, SAS and StatsDirect. StatsDirect.  Rates were age- standardized to the EU Rates were age- standardized to the EU standard population (direct method). standard population (direct method).  Poisson regression was used and Poisson regression was used and significance set at p<0.05. significance set at p<0.05.  Further trend analysis was carried out in Further trend analysis was carried out in StatsDirect. StatsDirect.

  7. Results- No. discharges/patients <15 yrs Results- No. discharges/patients <15 yrs with principal diagnosis asthma: with principal diagnosis asthma: Year No. of discharges No. of Patients Year No. of discharges No. of Patients 2000 2,534 2,241 2000 2,534 2,241 2001 2,411 2,129 2001 2,411 2,129 2002 2,171 1,900 2002 2,171 1,900 2003 2003 2,280 2,280 2,010 2,010 2004 2,536 2,186 2004 2,536 2,186 2005 2,567 2,226 2005 2,567 2,226 2006 2,654 2,338 2006 2,654 2,338 2007 1,935 1,656 2007 1,935 1,656 2008 1,910 1,664 2008 1,910 1,664 2009 1,799 1,565 2009 1,799 1,565 Total 22,797 19,915 Total 22,797 19,915 *12% are repeat admissions

  8. Results: Results: Figure 1. Age standardised hospital discharge rate 1,000 population for those aged 0-14 year with a principal diagnosis of asthma. 4 Rate per 1,000 3 population 0-14 yrs 2 Linear ( 0-14 yrs) 1 0 0 1 2 3 4 5 6 7 8 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 2 2 2 2 2 Year of discharge JEAN DO YOU KNOW OF ANY REASON WHY SIGNIFICAN REDUCTION IN HOSP. DISCHARGES IN 2007?? Test for trend: p=0.03

  9. Results: Results: Figure 2. Age standardised discharge rate per 1,000 population with principal diagnosis of diseases of the digestive system (ICD- 10 K00-K93 ) for 0-14 year olds. Rate per 1000 population 14 12 Diseases of the digestive 10 system for 0-14 year olds 8 Linear (Diseases of the 6 digestive system for 0-14 4 year olds) 2 0 2005 2006 2007 2008 2009 Year of Discharge JEAN: THIS IS IN HERE TO SHOW THAT THE REDN. IN HOSP ADMS IN 2007 NOT SEEN IN OTHER DISEASES SO LIKELY TO BE REAL! Test for trend: p>0.08

  10. Results: Results: Figure 3. Age-specific rates for those those with a principal diagnosis of asthma on hospital discharge. 6 Rate per 1000 population 5 4 0-4 yrs 3 5-9 yrs 10-14 yrs 2 1 0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Year of discharge Significant linear trend for age-grpups 0-4 years and 10-14 years.

  11. Results-Demographic profile: Results-Demographic profile:  Male to Female Ratio 1.82:1 Male to Female Ratio 1.82:1  Most common age group – 0-4 years Most common age group – 0-4 years  22,705 (99.5%) discharged home 22,705 (99.5%) discharged home  8,531 (37.4%) discharges medical card holders 8,531 (37.4%) discharges medical card holders  Median LOS 2 days (range 1-47) Median LOS 2 days (range 1-47)  Significant reduction in Median LOS from 2006 Significant reduction in Median LOS from 2006 onwards (2 days vs. 1 day, p<0.001) onwards (2 days vs. 1 day, p<0.001)  46,363 bed days used over ten year study period. 46,363 bed days used over ten year study period.  155 (0.7%) discharges involved stay in ICU – 304 155 (0.7%) discharges involved stay in ICU – 304 ICU bed days . ICU bed days .

  12. Results-Prescribing data: Results-Prescribing data:  In 2000, 50,447 children received In 2000, 50,447 children received asthma medications which had asthma medications which had increased to 73,184 children by increased to 73,184 children by 2009. 2009.  Males and the youngest age were Males and the youngest age were most likely to receive asthma most likely to receive asthma medication. medication.

  13. Results-Prescribing Results-Prescribing Figure 3. Age-standardised rate for asthma perscribing in children (0-15 years) 2000-2009 300 Age standardised rate per 1000 GMS 250 eligible pop (95% CI) 200 150 100 50 0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 *significant upward linear trend, p<0.001

  14. NOTE FOR JEAN: This is all RO3 prescribing for children NOTE FOR JEAN: This is all RO3 prescribing for children – is this what you would like to see – is this evidence of – is this what you would like to see – is this evidence of good prescribing??? good prescribing??? Figure 4. Prescribing of asthma medications to children (0-15yrs) for years 2000-2009 by type of drug. Rate per 1000 GMS eligib 180 160 140 120 100 80 60 40 20 0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Selective b2 agonists-inhalant Adrenergics-inhalant Glucocorticoids-inhalant Anticholinergics-inhalant Antiallergics-inhalant Nonselective b2 agonists-systemic Selective b2 agonists -systemic Xanthines-systemic Leukotriene receptors-systemic

  15. Strengths and Limitations: Strengths and Limitations:  First study of its kind in Ireland to look at prescribing First study of its kind in Ireland to look at prescribing patterns and hospital discharges. patterns and hospital discharges.  Study covers a long time period – essential to Study covers a long time period – essential to minimize random variation. minimize random variation.  Although there was a change in ICD code during study Although there was a change in ICD code during study period it has been suggested that ICD-9 and ICD-10 period it has been suggested that ICD-9 and ICD-10 codes for asthma are strongly correlated –so decrease codes for asthma are strongly correlated –so decrease not likely to be a coding issue. not likely to be a coding issue.

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