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Ngaire Coombs Zo ë Matthews, Sabu Padmadas

Cause-specific hospital utilisation and mortality patterns in New Zealand by area deprivation, 1974-2006. Ngaire Coombs Zo ë Matthews, Sabu Padmadas Division of Social Statistics, School of Social Sciences, University of Southampton. New Zealand Population, 2002. Deprivation Decile 1.

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Ngaire Coombs Zo ë Matthews, Sabu Padmadas

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  1. Cause-specific hospital utilisation and mortality patterns in New Zealand by area deprivation, 1974-2006 Ngaire Coombs Zoë Matthews, Sabu Padmadas Division of Social Statistics, School of Social Sciences, University of Southampton

  2. New Zealand Population, 2002 Deprivation Decile 1 Deprivation Decile 10

  3. Outline • Aims • Data • Results • Discussion • Further Work?

  4. Aims • To determine if areas with high deprivation scores have higher mortality rates than areas with low deprivation scores. • To determine if areas with high deprivation scores have higher hospital bed day rates than areas with low deprivation scores. • To determine if the cause of death varies by deprivation score. • To determine if the cause of hospital use varies by deprivation score.

  5. Data Mortality • 1974-2006* (800,000 events) Hospital Discharges • 1974-2007 (20 million events) NZDep • Area deprivation score • 1991, 1996, 2001, 2006 National analyses 1974-2006 Sub-national analyses (by deprivation) 1991-2006 *Excluding 2001

  6. Hospital Discharges, 1974-2007 Hospital Bed Days, 1974-2007

  7. Hospital Discharges, 1974-2007 Hospital Bed Days, 1974-2007

  8. Filtering of Hospital Data

  9. Hospital Discharges, 1974-2007 Hospital Bed Days, 1974-2007

  10. Hospital Discharges, 1974-2007 Hospital Bed Days, 1974-2007

  11. Results

  12. Standardised* Hospital Bed Day and Mortality Rates Hospital Bed Day rate Mortality rate (per 1000) *Standardised to 1991 New Zealand Population

  13. Aims • To determine if areas with high deprivation scores have higher mortality rates than areas with low deprivation scores. • To determine if areas with high deprivation scores have higher hospital bed day rates than areas with low deprivation scores.

  14. Hospital Bed Day and Mortality rates by Deprivation, Age 60-64, 2002 Hospital Bed Day rate Mortality rate (per 1000)

  15. Hospital Bed Day and Mortality rates by Deprivation, Age 80-84, 2002 Hospital Bed Day rate Mortality rate (per 1000)

  16. Aims • To determine if the cause of death varies by deprivation score.

  17. Standardised* Mortality rate (per 1000) 2002, by Cause, 95% C.I. Deprivation Decile 1 Deprivation Decile 10 *Standardised to 1991 New Zealand Population

  18. Aims • To determine if the cause of hospital use varies by deprivation score.

  19. Standardised* Hospital Bed Day rate (per 1000) 2002, by Cause, 95% C.I. Deprivation Decile 1 Deprivation Decile 10 *Standardised to 1991 New Zealand Population

  20. Results 1 & 2. Mortality and hospital bed day rates amongst the oldest ages (80+) do not vary substantially by deprivation decile, the overall differential is driven by younger ages (50 to 75). • The cause of mortality does not vary substantially by deprivation score. • The cause of hospital use does vary slightly by deprivation score

  21. Discussion

  22. New Zealand Population, 2002 Deprivation Decile 1 Deprivation Decile 10

  23. New Zealand Population, 2002 Deprivation Decile 1 Deprivation Decile 10

  24. New Zealand Population, 2002 Deprivation Decile 1 Deprivation Decile 10

  25. New Zealand Population, 2002 Deprivation Decile 1 Deprivation Decile 10

  26. Standardised* Mortality Rates by Age, 2006 Male Female *Standardised to 1991 New Zealand Population

  27. Standardised* Hospital Bed Day Rates by Age, 2006 Male Female *Standardised to 1991 New Zealand Population

  28. Further Work? • Log-linear analysis • Avoidable/non-Avoidable • Private health sector • Ethnicity • Compression of morbidity

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