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Emergency care
costing study
and classification
development
James Downie
Chief Executive Officer
Independent Hospital Pricing Authority
Background
www.ihpa.gov.au2
Current Emergency care
classifications
• Urgency Related Groups (URG):
‒based on type of visit, triage, episode end status
and diagnosis.
• Urgency Disposition Groups (UDG):
‒based on type of visit, triage and episode end
status.
• Limitations:
‒Both rely on triage (good indicator of urgency,
but not complexity/ resource use).
‒Limited clinical meaning.
3 www.ihpa.gov.au
Investigative review of
classification systems for
emergency care
• Commenced mid 2013, completed early 2014.
• Reviewed classifications developed/ used in Australia and
other countries:
‒Extensive clinical consultation.
‒Analysis of existing cost data.
• Conclusions:
‒New classification needed to replace URGs and UDGs.
‒Should be based on a high quality costing study.
‒Diagnosis given more importance and triage less.
‒Better account for patient complexity.
4 www.ihpa.gov.au
Emergency
care costing &
classification
project
www.ihpa.gov.au5
Development of a new
classification system for
emergency care
• Commenced mid 2015.
• Engaged consortium led by Health Policy Analysis.
• Key objectives:
‒Undertake a detailed costing study to investigate costs
associated with emergency care.
‒Develop a new patient-based classification system for
emergency care.
‒Modifications and enhancements to emergency care
data collections required to support the new
classification.
6 www.ihpa.gov.au
Costing Study Overview
• Inform classification development.
• Strong focus on consultation and clinically driven.
• All data provided to IHPA was de-identified and handled
in accordance with strict data governance processes.
• Ethics approval from the South Australian Human
Research Ethics Committee, and states/ territories also
obtained their own approvals.
• All sites in the study used barcode scanning technology
to record clinicians’ time spent with patients and the
activity/ procedure undertaken.
7 www.ihpa.gov.au
Costing Study Overview
• 10 sites from NSW, WA, SA, NT - included specialist
paediatric, major city and regional/remote hospitals.
• One month data collection between April to June 2016:
‒Two-week intensive collection of clinician time.
‒Investigations, procedures, presenting problem, and
other patient characteristics that impact on complexity
(termed ‘diagnosis modifiers’) were collected for the
whole four week period.
• Sites also submitted routinely collected data for the
remainder of the 2015-16 financial year.
8 www.ihpa.gov.au
Consensus study
of clinician time
• Undertaken in addition to the costing study data
collection.
• Aimed to estimate times for procedures and other
patient-related activities undertaken by ED clinicians.
• Estimates provided by approximately 300 clinicians
through Delphi process (medical, nursing, allied
health).
• Validate the results from the costing study and
potentially supplement data that might be missing for
specific procedures/ activities for any hospital.
9 www.ihpa.gov.au
Costing of data
• Activity data costed using project specific relative value
units (RVUs) based on clinician time data collected.
• Aligned with the Costing Standards/ NHCDC processes.
• Project specific working group established to ensure
consistency of costing was applied across sites.
• Validation processes to compare results from study with
standard processes to assess improvements.
• Further work to assess feasibility to implement outcomes
into future routine costing processes.
10 www.ihpa.gov.au
Costing study results
• Total of 43,175 presentations were captured during the
four week period; 21,765 of these attributed to two week
clinician time period.
• 83% of the presentations in two week clinician time
period had at least one procedure recorded;
approximately 8.4 procedures per ED patient stay.
• Overall mean cost per ED presentation for the study
period was $696 (median cost of $578).
• Components of overall direct costs included: medical
(26%), nursing (24%), imaging (11%), pathology (8%).
11 www.ihpa.gov.au
Cost distribution.
12 www.ihpa.gov.au
Distribution of costs by
hospital
13 www.ihpa.gov.au
Costing study results
• Data demonstrated several variables collected are
correlated with higher costs:
‒more urgent triage categories
‒increasing age
‒patients that were admitted, referred to another
hospital or died in ED
‒indigenous status
‒confusion/agitation, unconsciousness, mental health
status.
14 www.ihpa.gov.au
Triage is a cost driver
15 www.ihpa.gov.au
Age drives cost
16 www.ihpa.gov.au
Costing study results
• Four most commonly reported categories for ED
principal diagnosis: injuries (23% of total sample),
respiratory system disorders (11%), digestive system
disorders (11%) and circulatory system disorders (10%).
• Most common presenting problems included: abdominal
pain, chest pain, other specified problem, pain lower
limb/hip, review/medical assessment requested.
• Hospital level effects (e.g. role level/ specialisation and
location factors) impact on costs.
17 www.ihpa.gov.au
Costing study results – cont.
Cost by presence of diagnosis modifiers
18 www.ihpa.gov.au
Costing study results – cont.
Cost by episode end status category
19 www.ihpa.gov.au
Classification
development
www.ihpa.gov.au20
Proposed classification
structure
21 www.ihpa.gov.au
Classification development
timeframes
• Classification development initial data analysis and data
development (Jun – Sept 2017).
• Consultation on the new classification and data
development recommendations (Sept – Dec 2017).
‒Public consultation period (Oct – Nov 2017).
• Finalisation of classification system, supporting
components and final report (early 2018).
• Implementation from 1 July 2019.
22 www.ihpa.gov.au
Further information
• IHPA website:
https://www.ihpa.gov.au/what-we-do/emergency-care
• Study website:
http://www.edclassificationstudy.com
• Email:
enquiries.ihpa@health.gov.au
23 www.ihpa.gov.au
24 www.ihpa.gov.au

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Emergency care costing study and classification development

  • 1. Emergency care costing study and classification development James Downie Chief Executive Officer Independent Hospital Pricing Authority
  • 3. Current Emergency care classifications • Urgency Related Groups (URG): ‒based on type of visit, triage, episode end status and diagnosis. • Urgency Disposition Groups (UDG): ‒based on type of visit, triage and episode end status. • Limitations: ‒Both rely on triage (good indicator of urgency, but not complexity/ resource use). ‒Limited clinical meaning. 3 www.ihpa.gov.au
  • 4. Investigative review of classification systems for emergency care • Commenced mid 2013, completed early 2014. • Reviewed classifications developed/ used in Australia and other countries: ‒Extensive clinical consultation. ‒Analysis of existing cost data. • Conclusions: ‒New classification needed to replace URGs and UDGs. ‒Should be based on a high quality costing study. ‒Diagnosis given more importance and triage less. ‒Better account for patient complexity. 4 www.ihpa.gov.au
  • 6. Development of a new classification system for emergency care • Commenced mid 2015. • Engaged consortium led by Health Policy Analysis. • Key objectives: ‒Undertake a detailed costing study to investigate costs associated with emergency care. ‒Develop a new patient-based classification system for emergency care. ‒Modifications and enhancements to emergency care data collections required to support the new classification. 6 www.ihpa.gov.au
  • 7. Costing Study Overview • Inform classification development. • Strong focus on consultation and clinically driven. • All data provided to IHPA was de-identified and handled in accordance with strict data governance processes. • Ethics approval from the South Australian Human Research Ethics Committee, and states/ territories also obtained their own approvals. • All sites in the study used barcode scanning technology to record clinicians’ time spent with patients and the activity/ procedure undertaken. 7 www.ihpa.gov.au
  • 8. Costing Study Overview • 10 sites from NSW, WA, SA, NT - included specialist paediatric, major city and regional/remote hospitals. • One month data collection between April to June 2016: ‒Two-week intensive collection of clinician time. ‒Investigations, procedures, presenting problem, and other patient characteristics that impact on complexity (termed ‘diagnosis modifiers’) were collected for the whole four week period. • Sites also submitted routinely collected data for the remainder of the 2015-16 financial year. 8 www.ihpa.gov.au
  • 9. Consensus study of clinician time • Undertaken in addition to the costing study data collection. • Aimed to estimate times for procedures and other patient-related activities undertaken by ED clinicians. • Estimates provided by approximately 300 clinicians through Delphi process (medical, nursing, allied health). • Validate the results from the costing study and potentially supplement data that might be missing for specific procedures/ activities for any hospital. 9 www.ihpa.gov.au
  • 10. Costing of data • Activity data costed using project specific relative value units (RVUs) based on clinician time data collected. • Aligned with the Costing Standards/ NHCDC processes. • Project specific working group established to ensure consistency of costing was applied across sites. • Validation processes to compare results from study with standard processes to assess improvements. • Further work to assess feasibility to implement outcomes into future routine costing processes. 10 www.ihpa.gov.au
  • 11. Costing study results • Total of 43,175 presentations were captured during the four week period; 21,765 of these attributed to two week clinician time period. • 83% of the presentations in two week clinician time period had at least one procedure recorded; approximately 8.4 procedures per ED patient stay. • Overall mean cost per ED presentation for the study period was $696 (median cost of $578). • Components of overall direct costs included: medical (26%), nursing (24%), imaging (11%), pathology (8%). 11 www.ihpa.gov.au
  • 13. Distribution of costs by hospital 13 www.ihpa.gov.au
  • 14. Costing study results • Data demonstrated several variables collected are correlated with higher costs: ‒more urgent triage categories ‒increasing age ‒patients that were admitted, referred to another hospital or died in ED ‒indigenous status ‒confusion/agitation, unconsciousness, mental health status. 14 www.ihpa.gov.au
  • 15. Triage is a cost driver 15 www.ihpa.gov.au
  • 16. Age drives cost 16 www.ihpa.gov.au
  • 17. Costing study results • Four most commonly reported categories for ED principal diagnosis: injuries (23% of total sample), respiratory system disorders (11%), digestive system disorders (11%) and circulatory system disorders (10%). • Most common presenting problems included: abdominal pain, chest pain, other specified problem, pain lower limb/hip, review/medical assessment requested. • Hospital level effects (e.g. role level/ specialisation and location factors) impact on costs. 17 www.ihpa.gov.au
  • 18. Costing study results – cont. Cost by presence of diagnosis modifiers 18 www.ihpa.gov.au
  • 19. Costing study results – cont. Cost by episode end status category 19 www.ihpa.gov.au
  • 22. Classification development timeframes • Classification development initial data analysis and data development (Jun – Sept 2017). • Consultation on the new classification and data development recommendations (Sept – Dec 2017). ‒Public consultation period (Oct – Nov 2017). • Finalisation of classification system, supporting components and final report (early 2018). • Implementation from 1 July 2019. 22 www.ihpa.gov.au
  • 23. Further information • IHPA website: https://www.ihpa.gov.au/what-we-do/emergency-care • Study website: http://www.edclassificationstudy.com • Email: enquiries.ihpa@health.gov.au 23 www.ihpa.gov.au

Editor's Notes

  1. Emergency department stays for Indigenous patients had higher costs compared with other patients ($728 versus $692). Subsequent analysis will need to consider the interaction with other factors (such as age), which may result in a larger difference in estimated mean costs. The most common triage category overall is category four (Semi-urgent) (39.1%) followed by category three (Urgent) (38.2%). These categories account for close to 80% of emergency department stays in the sample. There is a correlation between costs and triage categories, with the highest mean costs observed for patients assigned to category one ($1,518) and lowest for patients assigned to category five ($364). There were variations in cost within episode end status categories (eg did not wait). It was noted that these cost differences were most likely due to local variation in practice, and that these will be explored in the next stage of the project. Proportion of emergency department stays for which the diagnosis modifier was present was relatively low, ranging from below 1% to just over 10.5% at each hospital.