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Predicting the future demand for renal replacement therapy

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Transplantation. Cadaver mainly. falling donor rates ... transplant supply affects costs. Current modelling-ongoing ... Nephrol Dial Transplant 1997;12:2512-6 ... – PowerPoint PPT presentation

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Title: Predicting the future demand for renal replacement therapy


1
Predicting the future demand for renal
replacement therapy
  • P Roderick
  • Talk to BRS Workforce Planning Group 11.7.01

2
What do we need to know?
  • Where are we now, how got there?
  • For the future
  • input of patients
  • population need
  • output
  • patient survival
  • modes of treatment
  • mode survival, supply

3
Background
  • RRT acceptance and prevalence rate increasing
    5-6 pa
  • acceptance 20 pmp 1982 rising to 92 pmp 1998
  • prevalence RRT 523 pmp in 1998 from 396 pmp in
    1993
  • Nature of patients changing
  • Patterns of type of RRT changing

4
Acceptance rates pmp in the UK 1982-90, England
1991-98
5
Patient characteristics of new cases accepted
onto RRT in UK/England ()
6
Types of RRT
  • Transplantation
  • most cost effective but transplant supply doesnt
    meet demand
  • Haemodialysis (HD)
  • largest growth, more in satellites
  • Home HD declining.
  • PD slow increase/static
  • may not be suitable for many elderly plus
    technique fails with time

7
Future input?
  • Whats population need?
  • Population based incidence studies
  • minimal estimate 80 pmp under age 80
  • BUT higher 130pmp at 2001..
  • Demographic change
  • elderly especially ethnic minorities...

8
Incidence of chronic renal failure by age (Feest
TG et al)
9
Age related acceptance
10
(No Transcript)
11
Population projections in the UK(1994 based
millions)
12
Incidence of ESRF??
  • Hypertension detection and control-improvements
    -ve effect on incidence
  • Earlier referral of CRF ?-
  • note population incidence in caucasian population
    of creatinine gt150 1700pmp (Southampton and SW
    Hampshire HA 1992-4)
  • CHD prevention-?
  • Type 2 diabetes epidemic ve
  • offset by better control?

13
Future survival
  • Will improved standards of care lead to improved
    survival?
  • Will this counterbalance increased co-morbidity
    of new cases?

14
Transplantation
  • Cadaver mainly
  • falling donor rates
  • problems with donor supply and matching in ethnic
    minorities
  • live donor rates low compared to other countries

15
Summary of future pressures
  • Incidence ESRF
  • rising type 2 diabetes
  • demographic change esp ethnic minorities
  • Meeting population need
  • Transplant supply
  • Patient survival

16
Aims
  • To model RRT demand in England using simulation,
    specifically changing
  • acceptance rate
  • transplant supply
  • patient survival

17
1995 Model
  • Based on data from National Renal Review 1991-2,
    EDTA and UKTSSA
  • When will a steady state be reached?
  • Change acceptance rates-
  • 1991-2 65pmp, 1995 80pmp, predicted 87pmp
  • change transplant supply 10
  • improve patient survival

18
Simulation modelling
  • models
  • individuals rather than groups
  • models discrete events (e.g. death, modality
    change, change in age band)
  • updated each time an event/transition occurs
  • flexible to individual characteristics,
    constraints and costs
  • handles multiple outcomes
  • transitions by probability sampling from any
    distribution

19
Prevalence of patients on RRT 1991/2 projected
15 years
20
Types of treatment by risk group over 15 years
21
Effect of Change in Transplant Supply
22
Summary of previous work
  • RRT demand set to almost double
  • increased proportion on dialysis
  • main growth will be in high risk patients
  • sensitive to survival and acceptance rate
  • transplant supply affects costs

23
Current modelling-ongoing
  • Update assumption about acceptance rate
  • population need estimate higher
  • demographic shifts esp. ethnic minority
  • separate dialysis modes
  • update UKT transplant data
  • model constraints e.g. satellite and main HD
    stations, PD
  • link with Renal Registry for pt survival,
    dialysis mode survival, acceptance/stock data
  • patient choice, early start

24
Current Model
25
Issues
  • Pressure on renal services-facilities, staff,
    costs, quality improvements
  • How plan for future?
  • growth in stock-which modes, timescale?
  • important factors
  • limited kidney transplants
  • suitability of PD
  • HD growth and accessibility
  • care of elderly co-morbid patients

26
References
  • Davies R Roderick P. Predicting the future demand
    for RRT in England using simulation modelling.
    Nephrol Dial Transplant 1997122512-6
  • Roderick P, Clements S,Diamond I et al.
    Estimating the demand for RRT in Greater London
    the impact of demographic trends in ethnic
    minority populations. Health Trends
    19983046-50.
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