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Prediction Markets In
    Health Care

    George R. Neumann
   Iowa Electronic health
         Markets
Markets In Health Care

 The IEhM has worked on 3 different
 types of health markets
     Seasonal Influenza
     Avian Influenza
     Syphilis
 I will discuss what we have learned
 from these markets
Markets In Health Care

 Why are Prediction Markets Important
 in Health Care?
Markets In Health Care

 Why are Prediction Markets Important
 in Health Care?
        Cost savings with greater forecast accuracy
    o
         o Influenza causes:
          36,000 deaths annually in the U. S.
           120,000 hospital admissions
        Medical treatment can be adjusted if an
        outbreak of flu is anticipated
         o Prophylaxis of nursing homes
         o A vaccine is available as are several medications
Markets In Health Care

 Vaccine effectiveness depends on
 timing as well as predictions about
 which strains to put in the vaccine. It
 takes about 2 weeks for the vaccine
 to become effective.
 Antiviral medicines such as
 Oseltamvir (Tamiflu) require 48 hour
 advance treatment
INFLUENZA MEASURES
CDC COLOR DEFINITIONS

                  WIDESPREAD

                   REGIONAL

                    LOCAL

                   SPORADIC

                  NO ACTIVITY

                 DATA MISSING
Markets In Health Care

 The prediction problem with influenza
    IOW A        20 07-2 008 2006- 2007 2005-2006 2 004- 2005 2003- 2004 20 02-2 003 200 1-20 02 200 0-20 01 1999- 2000


    WEEK          CO LOR      COLOR       COLO R      COLOR      COLOR      CO LOR      CO LO R    CO LO R    COLOR
                    Y           Y           Y           Y          Y           Y          Y          Y          Y
            40
                    Y           Y           Y           Y          Y           Y          Y          Y          B
            41
                    Y           G           Y           Y          Y           Y          Y          Y          Y
            42
            43      Y           Y           Y           Y          Y           Y          Y          Y          Y
            44      Y           G           Y           Y          Y           Y          Y          Y          G
            45      Y           G           Y           Y          Y           Y          Y          Y          G
            46      G           G           Y           Y          Y           Y          G          Y          B
                    G           G           Y           Y          G           Y          G          Y          G
            47
                    G           G           Y           Y          B           Y          G          G          G
            48
                    G           G           G           G          R           Y          Y          G          G
            49
            50      G           B           G           G          R           Y          G          G          G
            51      G           B           G           P          R           Y          G          G          R
            52      G           B           G           B          R           Y          G          G          R
             1       P          B           B           B          R           Y          G          G          R
             2       P          B           B           B          R          G           G          B          R
                    B           R           B           B          B          G           Y          B          R
             3
                    B           R           B           R          B          G           G          R          R
             4
             5      R           R           B           R          P          B           B          B          G
             6      R           R           B           R          P          R           B          B          G
             7      R           R           B           R          G          R           G          B          G
             8      R           R           R           R          G          R           B          R          Y
             9      R           R           R           B          Y          R           B          G          Y
                    R           B           R           B          Y          B           B          G          Y
            10
                    R           B           R           P          Y          G           G          Y          Y
            11
            12      R           P           B           G          Y          G           G          G          Y
            13      R           P           B           G          Y          G           G          Y          Y
            14      B           G           P           G          Y          G           G          Y          Y
            15      G           G           G           G          Y           Y          G          Y          Y
            16      G           G           G           G          Y          G           G          Y          Y
                    Y           G           G           Y          Y          G           G          Y          Y
            17
                    Y           Y           Y           Y          Y           Y          G          Y          Y
            18
Markets In Health Care

 The epi Curve for Iowa
                      The Epi -C urve

 6



 5



 4


                                        2007__Act ual
 3
                                        7-Year His tor i cal Aver a ge


 2



 1



 0



               Fl u Week
Markets In Health Care

 The CDC provides a state-by-state
 description of influenza activity but it
 is two weeks out of date before it
 becomes available.
Markets In Health Care

 We have run markets in Iowa, North
 Carolina, and Nebraska
 Markets by Year and State.
          Year                    State        Number of Markets
              2007-2008
                                   Iowa               31
                                Nebraska              31
                              North Carolina          31
              2006-2007
                                   Iowa               29
                              North Carolina          27
              2005-2006
                                  Iowa                29
              2004-2005
                                  Iowa                14
          Total                                      192
Markets In Health Care

    Who participates?

Trader Characteristics in Iowa-2006-2007
Occupation          Freq.                  Percent   Cumulative %.
--                  1                      1.12      1.12
Administrator       3                      3.37      4.49
Microbiologist      14                     15.73     20.22
Nurse               15                     16.85     37.08
Other               21                     23.60     60.67
Pharmacist          8                      8.99      69.66
Physician           20                     22.47     92.13
epidemiologist      7                      7.87      100.00
Total               89                     100.00
Markets In Health Care

 What did we learn?
     Trader heterogeneity can be a curse
     Software and training materials have to be
     adapted to the knowledge and inclinations of
     the audience. This is hard to do when the
     audience differs in background.
     It is essential to do if members have different
     amounts and types of information. E.g.
     microbiologists vs. school nurses.
     PM’s work well, even with heterogeneous
     traders
FORECAST ACCURACY- IOWA
                                           2004-2008

                     0.75

                     0.70

                     0.65

                     0.60

                     0.55
% Ex actly Correct




                                                                  IA_ MKT
                     0.50                                         IA_ HIST
                                                                  IA_ MARKOV

                     0.45

                     0.40

                     0.35

                     0.30

                     0.25
                            1   2           3            4    5
                                     WEEKS IN ADV ANCE
Forecast Success
             % Correct
Method    5 weeks   3 weeks   1 week

Markets   59%       63%       68%

History   49%       49%       49%

Markov    30%       43%       57%
Forecast Success
        % Δ in No. Correct
State   5 weeks   3 weeks    1 week

IA      106%      146%       136%

NC       78%      125%       150%
Avian Flu

 We partnered with PROMED to
 recruit traders from around the world.
   There are about 20,000 members of the
   International Society for Infectious
   Disease, located in 155 countries.
   Promed-mail is their major way to
   communicate daily.
Avian Flu: Trader Locations
Avian Flu

Contracts typically were about how
many cases of Avian H5N1 would
occur in a specific region in a specific
time period (6 months).
Contracts were also traded on
whether there would be human to
human transmission of Avian Flu in a
specific time period.
Q.: Will there be human to human
transmission of H5N1 in the EU by
12/31/2008
Q: Will the World-wide # of deaths
from Avian Flu exceed xxx
Seasonal and Avian Flu

Finding the right audience for a PM
can make the job easier.
  Emphasis on graphical display helps a
  lot with medical types.
  Future projects: Virus strain prediction,
  Vaccine Effectiveness
  Animal infections
Syphilis Markets

There are two significant features of
syphilis: quantity of cases and gender
mix
Total New Syphilis Cases-Nationwide
                                               1984-2006

60000



50000



40000



30000



20000



10000



    0
        1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
Syphilis — Reported cases : United
  States, 1941–2007

Cases (in thousands)
           600
                                                                                P&S
                                                                                Early Latent
                                                                                Total Syphilis
         480


         360


         240


         120


            0

                       1941   46   51   56   61   66   71   76   81   86   91         96         2001   06
%




               0%
                    10%
                          20%
                                30%
                                      40%
                                            50%
                                                  60%
       19
         84
       19
         85
       19
         86
       19
         87
       19
         88
       19
         89
       19
         90
       19
         91
       19
         92
       19
         93
       19
         94
       19
         95
       19




Year
         96
                                                                          1984-2006




       19
         97
       19
         98
       19
         99
       20
         00
       20
         01
       20
         02
       20
                                                        Fraction of New Syphilis Cases That Are Female




          03
       20
          04
       20
         05
       20
         06
Syphilis Markets

No results so far –markets go
operational in May. But lots of
enthusiasm at the CDC.
Check it out at
  http://iehm.uiowa.edu/iehm/index.html

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George Neumann PM Summit NYC 2009

  • 1. Prediction Markets In Health Care George R. Neumann Iowa Electronic health Markets
  • 2. Markets In Health Care The IEhM has worked on 3 different types of health markets Seasonal Influenza Avian Influenza Syphilis I will discuss what we have learned from these markets
  • 3. Markets In Health Care Why are Prediction Markets Important in Health Care?
  • 4. Markets In Health Care Why are Prediction Markets Important in Health Care? Cost savings with greater forecast accuracy o o Influenza causes: 36,000 deaths annually in the U. S. 120,000 hospital admissions Medical treatment can be adjusted if an outbreak of flu is anticipated o Prophylaxis of nursing homes o A vaccine is available as are several medications
  • 5. Markets In Health Care Vaccine effectiveness depends on timing as well as predictions about which strains to put in the vaccine. It takes about 2 weeks for the vaccine to become effective. Antiviral medicines such as Oseltamvir (Tamiflu) require 48 hour advance treatment
  • 6. INFLUENZA MEASURES CDC COLOR DEFINITIONS WIDESPREAD REGIONAL LOCAL SPORADIC NO ACTIVITY DATA MISSING
  • 7.
  • 8. Markets In Health Care The prediction problem with influenza IOW A 20 07-2 008 2006- 2007 2005-2006 2 004- 2005 2003- 2004 20 02-2 003 200 1-20 02 200 0-20 01 1999- 2000 WEEK CO LOR COLOR COLO R COLOR COLOR CO LOR CO LO R CO LO R COLOR Y Y Y Y Y Y Y Y Y 40 Y Y Y Y Y Y Y Y B 41 Y G Y Y Y Y Y Y Y 42 43 Y Y Y Y Y Y Y Y Y 44 Y G Y Y Y Y Y Y G 45 Y G Y Y Y Y Y Y G 46 G G Y Y Y Y G Y B G G Y Y G Y G Y G 47 G G Y Y B Y G G G 48 G G G G R Y Y G G 49 50 G B G G R Y G G G 51 G B G P R Y G G R 52 G B G B R Y G G R 1 P B B B R Y G G R 2 P B B B R G G B R B R B B B G Y B R 3 B R B R B G G R R 4 5 R R B R P B B B G 6 R R B R P R B B G 7 R R B R G R G B G 8 R R R R G R B R Y 9 R R R B Y R B G Y R B R B Y B B G Y 10 R B R P Y G G Y Y 11 12 R P B G Y G G G Y 13 R P B G Y G G Y Y 14 B G P G Y G G Y Y 15 G G G G Y Y G Y Y 16 G G G G Y G G Y Y Y G G Y Y G G Y Y 17 Y Y Y Y Y Y G Y Y 18
  • 9. Markets In Health Care The epi Curve for Iowa The Epi -C urve 6 5 4 2007__Act ual 3 7-Year His tor i cal Aver a ge 2 1 0 Fl u Week
  • 10. Markets In Health Care The CDC provides a state-by-state description of influenza activity but it is two weeks out of date before it becomes available.
  • 11. Markets In Health Care We have run markets in Iowa, North Carolina, and Nebraska Markets by Year and State. Year State Number of Markets 2007-2008 Iowa 31 Nebraska 31 North Carolina 31 2006-2007 Iowa 29 North Carolina 27 2005-2006 Iowa 29 2004-2005 Iowa 14 Total 192
  • 12. Markets In Health Care Who participates? Trader Characteristics in Iowa-2006-2007 Occupation Freq. Percent Cumulative %. -- 1 1.12 1.12 Administrator 3 3.37 4.49 Microbiologist 14 15.73 20.22 Nurse 15 16.85 37.08 Other 21 23.60 60.67 Pharmacist 8 8.99 69.66 Physician 20 22.47 92.13 epidemiologist 7 7.87 100.00 Total 89 100.00
  • 13. Markets In Health Care What did we learn? Trader heterogeneity can be a curse Software and training materials have to be adapted to the knowledge and inclinations of the audience. This is hard to do when the audience differs in background. It is essential to do if members have different amounts and types of information. E.g. microbiologists vs. school nurses. PM’s work well, even with heterogeneous traders
  • 14. FORECAST ACCURACY- IOWA 2004-2008 0.75 0.70 0.65 0.60 0.55 % Ex actly Correct IA_ MKT 0.50 IA_ HIST IA_ MARKOV 0.45 0.40 0.35 0.30 0.25 1 2 3 4 5 WEEKS IN ADV ANCE
  • 15. Forecast Success % Correct Method 5 weeks 3 weeks 1 week Markets 59% 63% 68% History 49% 49% 49% Markov 30% 43% 57%
  • 16. Forecast Success % Δ in No. Correct State 5 weeks 3 weeks 1 week IA 106% 146% 136% NC 78% 125% 150%
  • 17. Avian Flu We partnered with PROMED to recruit traders from around the world. There are about 20,000 members of the International Society for Infectious Disease, located in 155 countries. Promed-mail is their major way to communicate daily.
  • 18. Avian Flu: Trader Locations
  • 19. Avian Flu Contracts typically were about how many cases of Avian H5N1 would occur in a specific region in a specific time period (6 months). Contracts were also traded on whether there would be human to human transmission of Avian Flu in a specific time period.
  • 20. Q.: Will there be human to human transmission of H5N1 in the EU by 12/31/2008
  • 21. Q: Will the World-wide # of deaths from Avian Flu exceed xxx
  • 22. Seasonal and Avian Flu Finding the right audience for a PM can make the job easier. Emphasis on graphical display helps a lot with medical types. Future projects: Virus strain prediction, Vaccine Effectiveness Animal infections
  • 23. Syphilis Markets There are two significant features of syphilis: quantity of cases and gender mix
  • 24. Total New Syphilis Cases-Nationwide 1984-2006 60000 50000 40000 30000 20000 10000 0 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
  • 25. Syphilis — Reported cases : United States, 1941–2007 Cases (in thousands) 600 P&S Early Latent Total Syphilis 480 360 240 120 0 1941 46 51 56 61 66 71 76 81 86 91 96 2001 06
  • 26. % 0% 10% 20% 30% 40% 50% 60% 19 84 19 85 19 86 19 87 19 88 19 89 19 90 19 91 19 92 19 93 19 94 19 95 19 Year 96 1984-2006 19 97 19 98 19 99 20 00 20 01 20 02 20 Fraction of New Syphilis Cases That Are Female 03 20 04 20 05 20 06
  • 27.
  • 28. Syphilis Markets No results so far –markets go operational in May. But lots of enthusiasm at the CDC. Check it out at http://iehm.uiowa.edu/iehm/index.html

Editor's Notes

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