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Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
Inpatient Discharges Demographic Profiles - What Do They Tell Us?
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Inpatient Discharges Demographic Profiles - What Do They Tell Us?

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Nikolai Minko …

Nikolai Minko
District Health Boards NZ
www.dhbnz.org.nz
(P44, 1/10/09, Sigma Room, 5.02)

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  • 1. Inpatient discharges demographic profiles. What do they tell us? Nikolai Minko, Michael Rains and Paul Bridgford Health Workforce Information Programme (HWIP) District Health Boards New Zealand October 1, 2009
  • 2. Contents • Patient-centred health care • Age profiles • Socio-economic status • Patients to population ratio • Conclusions
  • 3. Patient –Centred Health Care General Practitioner Emergency Department Outpatient Inpatient
  • 4. Inpatient • Ten years National Data Collection • Largest work load for medical staff • Complex Cases
  • 5. National Minimum Data Set 1999-2008 Female Male Total Events 4 937 572 3 905 042 8 842 745 Patients 1 569 405 1 317 304 2 886 765 Events/Patient 3.15 2.96 3.06
  • 6. Inpatient information • Encrypted NHI • Event ID • Age • Gender • Socio-Economic Status • Ethnicity
  • 7. Inpatient Age profiles… • Events • Patients • Average annual increment in events and patients number over 10 years
  • 8. Patients Age and Gender 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 0 20 40 60 80 100 AverageAnnualNumber Age M_Events F_Events M_Patients F_patients
  • 9. Events to patient ratio 1.20 1.40 1.60 1.80 2.00 2.20 0 20 40 60 80 100 EventstoPatientRatio Age M_Events/Patients F_Events/Patients
  • 10. Annual events and patient growth -150 -100 -50 0 50 100 150 200 250 300 0 20 40 60 80 100 AverageAnnualGrowth Age M_Evt F_Evt M_Pat F_Pat
  • 11. Socio-Economic Status… • How to measure it • How it affects inpatient events • How it affects age profiles
  • 12. Measures with New Zealand Deprivation index (NZDep) – Ten levels from 1 (lowest) to 10 (highest) deprivation – Deciles from domicile rather than population – Each level has approximately 10% of population
  • 13. Socio-Economic Status 550000 734000 918000 1102000 1286000 1470000 1654000 1838000 60000 80000 100000 120000 140000 160000 180000 200000 1 3 5 7 9 Populationin3Years Dischargesin3Years NZDep M_Patients F_Patients F_Population M_Population
  • 14. Inpatient Age - Gender profiles by NZDep quintile Female Male 0 10 20 30 40 50 60 70 80 90 100 3500 2500 1500 500 500 1500 2500 3500 Age Discharges in 3 years M_NZDep_1&2 F_NZDep_1&2 M_NZDep_3&4 F_NZDep_3&4 M_NZDep_5&6 F_NZDep_5&6 M_NZDep_7&8 F_NZDep_7&8 M_NZDep_9&10 F_NZDep_9&10
  • 15. Events to population ratios… • Inpatient events and population comparison • Average events to population ratio by age groups • Events to population growth above the population growth
  • 16. New Zealand Population in 2006 0 5000 10000 15000 20000 25000 30000 35000 0 20 40 60 80 100 Headcount Age Female Population Male Population M_Events F_Events
  • 17. Inpatient events to population ratio 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% DischargesRatio AgeGroups Male Female
  • 18. Events to population ratio growth 0% 20% 40% 60% 80% 100% 120% 140% 160% 0% 50% 100% 150% 200% 250% 300% 350% FemaleDischargesRatio MaleDischargesRatio AgeGroups Male Male/1999 Female Female/1999
  • 19. Conclusions • Gender and socio-economic status have a significant impact on inpatient age profile • While the number of events is steadily growing with increasing deprivation, but the growth rate varies with age • The use of socio-demographic information can only improve health service forecasting and planning
  • 20. Limitations • There is no outpatient-inpatient transition • Possible effect of the elective throughput on the age profiles, specialty demand • Statistics New Zealand population projection accuracy
  • 21. Questions Nikolai Minko Senior Analyst, District Health Boards New Zealand, Wellington Telephone: 04 803 5829 Email: nikolai.minko@dhbnz.org.nz Contact Information

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