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Problem Gambling
Treatment; the future arrives!



  Sean Sullivan PhD
  ABACUS Counselling, Training and Supervision Ltd
Current challenges for all addictions

 • Alcohol abuse and resistance to legislate
 • Smoking – risking international sanctions and penalties
   because of ‘free trade’ conflicts with public health
 • Legal ‘party’ drugs – some initiatives but uncertain
   outcomes regarding proof of harm and levels for e.g.
   synthetic cannabis
 • Internet addiction – what is ‘normal’ use? Longer use
   becoming the norm
 • Gambling – some controls but technology challenges,
   social acceptance, and attractive taxation source –
   uncertain growth in problems
PG differences to AOD

• A relatively ‘pure’ behavioural addiction (no external
  drug influence) – often perception the addiction due
  more to choice
• The reinforcer is a general reinforcer (e.g. money,
  praise) – it is resistant to satiation
• Solution to problems arising from the behaviour may
  include continuation in the behaviour (has a built in
  solution i.e. a win!)
• Money is a powerful reinforcer that most people want
  (drugs perhaps less so) – gives choice, respect,
  safety, peace of mind, hope……….
• PG may be less likely to seek help
The old days


• Gambling semi-controlled under Gaming & Lotteries
  Act 1977
• Lotto introduced 1987
• Gambling machines existed, but not recognised
  under the Act – became ‘legal’ in 1988
• No casinos pre 1994– Committee of Enquiry into
  casinos 1988-1989
• First casino opens 1994, by 2003, a total of 6
  casinos open
Into the new era

• 2003 Gambling Act – no NZ Internet gambling
  except Lottery & racing/sports
• Online betting – Racing Board monopoly on racing
  and sports betting or Lotto
• Internet gambling – allowed if based overseas
• Technology and accessibility the challenge – can be
  accessed 24 hrs a day
Global online gambling growth   Ferguson 2012
Mobile gambling growth

• UK – 20% wagers are via online
  mobile devices
• Now in NZ: In play betting can
  prompt gambling– ‘next
  try/yellow card?’
• Estimated world-wide growth of
  gambling via mobile devices will
  increase from the $20B in 2011
  to $100B in 2017
               Juniper Research (May 2012)
An important income resource for
            governments
• Because gambling is a substantial
  source of duty/tax, a large employer,
  and is part-owned by the state (Lotto),
  conflict of interest may be perceived
  when gambling expansion/reduction
• NZ Gambling Act – no ‘for profit’
  gambling permitted other than casinos
• Monopoly on Internet gambling in NZ
  given to Lottery Commission and
  Racing Board
• In Australia, 11% (average) of all State
  income is raised from gambling
But is problem gambling reducing?
 Some suggest problem gamblers ‘adapt’ &
           reduce their harm
The case for PG reducing

‘While far from certain, problem gambling
prevalence rates appear to have fallen
somewhat. It is unclear how much this reflects
natural adaptation or the impact of government
policy, though both are likely to have
contributed’
                           Productivity Commission 2009
But…..



The Productivity Commission also comments:


        ‘Given (the wide influences on PG)
        reductions are unlikely to continue
        without environmental changes’
From exposure to adaptation
     contagion disease model applies?




                                        LaPlante & Shaffer, 2008
The adaptation model

• The assumption that people adapt to novel forms of
  gambling, much like a contagion disease model
  reacts to an epidemic, may not apply to an addiction
• If people adapted to gambling machines, one would
  expect at least this to occur within a decade.
  Between 1988 – 2008 in NZ, no such adaptation
  occurred demonstrated by reduced gambling
  machine spending (for same number of machines)
What would we expect if
            adaptation true?
Less spent on gambling
   But assumes due to gambling reducing:
      • The larger proportion (non-problem gamblers) may
        be more likely to reduce discretionary spending
        especially in a recession
      • Problem gamblers increase their
        problems/gambling when under stress (DSM)
      • Reduction in amount spent may mask increased
        problem gambling spending – especially if those
        financially disadvantaged increase and this group
        are known to be at higher risk for PG (e.g. during a
        recession)
Less spending not necessarily
   reduced PGs hypothetical example

                  120

                  100
  Total $ spent




                  80                  Problem
                                      gamblers
                  60
                                      Non-problem
                  40                  gamblers

                  20

                   0
                        2010   2011
Is gambling participation reducing?
            Perhaps…
• Abbott et al (1991) – 90% gambled in last 6 months
• Abbott et al (2000) – 87% gambled in last 6 months
• NZ Health Survey 2006/7 – 65% gambled in last 12
  months
• Spending in NZ on gambling has remained relatively
  constant at $2B from 2004-2008
• Is spending per capita increasing (if participation is
  reducing) or people’s perception of their gambling, or
  not, flawed?
Hard to measure means uncertainty

 • But gambling losses over time is a blunt tool
 • Productivity Commission (Australia) estimates 40%
   total losses on gambling machines and 20% from
   moderate problem/at risk gamblers
 • May mask the possibility that ‘controlled’ or non-
   problem gamblers do reduce their gambling during a
   recession while problem gamblers may increase
   their gambling as stress increases (a recognised
   influence)
Losses constant during recession
                                   (excluding Internet gambling)
Gambling losses p/a ($M)

                           2500
                           2000
                           1500
                           1000
                            500
                              0

                                07
                               02

                               03

                               04
                               05

                               06



                               08

                               09
                               10

                               11
                             20

                             20
                             20
                             20

                             20
                             20

                             20

                             20

                             20

                             20
                             EGM loss ($M)          All gambling loss ($M)
Adaptation – do PGs adapt?
            The Victorian Gambling Study 2011


• N=5003
• Surveyed in 2008 and again 2009 (repeat) using a
  gambling screen that identified levels of PG:
   – NT=not a gambler
   – NPG= a gambler but not a problem gambler
   – LR=low risk for problem gambling
   – MR=moderate risk for problem gambling
   – PG=problem gambler
• Findings:
   – 5.6% of gamblers increased their risk for PG
   – 4.3% decreased their risk
   – PGs were, with Non-PGs, the most stable categories
The Victorian Gambling Study 2011
                     (excluding Internet gambling)



Transitions between PGSI groups Wave One to Wave Two (n=5003)
But assumption in surveys is that
 responders are telling the truth
If data is suspect, can we rely on
prevalence rates or ‘adaptation’?
 • As only 29% of problem gamblers reported in
   the 1999 Australian Productivity Commission
   report stated they would tell the truth about their
   gambling, surveys specifically on gambling
   probably strongly under-estimate, and may vary
   over time
A.C. Nielsen NSW Survey 2007
Some considerations

• Productivity Commission also states:
      ‘the share of spending accounted for by PGs appears to be
      very high – with no apparent downward trend’
• Higher risks with those with little disposable income –
  many within this population spending all their non-
  disposable income may not result in increases in total
  gambling losses
The future?

• Problem gambling in its most severe form is both chronic
  and persistent
• Many factors suggest increased, rather than reduced,
  gambling problems in the future
   – New generation gambling machines,
   – ‘improvement’ in internet gambling sites,
   – greater competition between modes of gambling (e.g.
     Lotto more often, larger prizes), and
   – greater accessibility due to electronic advances
But gambling technology improves
 too so difficult to compare years
     The total amount lost per poker machine (in
     Australia) has risen fivefold from $19,600 in
     1992-93 to $101,100 in 2008-09.
                                  The Age, July 2012
A hidden, difficult to measure, but
       resilient addiction
 • Prevalence measures used vary (and no gold
   standard)
 • Problem gambling is ‘persistent and recurrent’
   and almost all prevalence studies for PG are
   snapshots rather than longitudinal assessments
 • Stigma high, visual symptoms low or ambiguous,
   may mean under-identified
PG prevalence in NZ: stable?

          14000
          12000
          10000
clients




          8000
          6000
          4000
          2000
             0




                                                                         11
                                                              0
                               /7
                    6




                                        8



                                                    9



                                                           /1
                  5/




                                      7/



                                                  8/
                          06




                                                                       0
                                                           09
                 0




                                       0



                                                  0




                                                                    /2
                        20
              20




                                    20



                                               20



                                                         20



                                                                    10
                                                                  20
            F to F intensive        F to F all clients     Gambling Helpline
PGs are reluctant help-seekers
                                    2011/2012



              7000

              6000

              5000
New clients




              4000

              3000

              2000

              1000

                0

                     Brief intervention   Received both   Full intervention
Internet gambling
 The future risk?
Internet gambling

• Online gambling sites typically see revenues of
  $300 per paying user per month

• Asia-Pacific online gambling expected to grow
  from $(US)34.4B to $(US)79.3B in the next few
  years
                               PriceWaterhouseCooper
Exposure to technology
       – Internet Gambling
• Although internet gambling has been available for at
  least a decade, few problem gamblers present to
  services with this problem mode

• 2011 Gambling Helpline n=21 clients with Internet
  gambling problems;

• NZ face to face doesn’t code by Internet until mid
  2012
Reasons for low Internet PG
             presentation
• Internet gambling not conducted in a public venue – little
  harm minimisation controls enforced, less overview
  (hidden)
• Most clients present under some pressure
   – PG identified by gambling venue and excluded – access to
     services a requirement for re-admission to venue
   – Others note the excessive gambling and motivate PG to access
     treatment
• Remember: few PGs seek help and may be influenced
  by hope of winning their way out of financial problems
Reasons for low Internet PG

In past gambling may have been hampered by:
  – Low Internet speed and/or insufficient computer power (slow,
    low level graphics)
  – Uncertainty around honesty or reliability of process
  – Fear of complexity of the Internet
Now:
  – High speed and computer power widely available
  – Familiarity with Internet (especially youth)
  – New ‘gaming’ without money widely accessible and introduces
    new Internet gamblers to the process
  – Cross-over opportunities between gaming & gambling
Monthly online gambling by
                   18-22yr olds Annenberg Survey: U Pennsylvania 2010

                   18
                   16
                   14
% aged 18-22 yrs




                   12
                   10                                                   Males
                   8                                                    Females
                   6
                   4
                   2
                   0
                              2008                   2010
Internet gambling here
• Health Sponsorship Council 2011: 8.7% of New
  Zealanders had gambled online in last 12 months
  (2% overseas sites balance Lotto-Racing-Sports NZ
  sites)

   Press Release
“Proposals to increase internet speed and capacity, patterns of
   online gambling in overseas jurisdictions and increasing use of
   online payment methods all combine to suggest that NZ might
   be approaching a tipping point”
“How do you stop people, in the privacy of their own home,
   accessing gaming sites?”
                          Assoc Minister of Health 11th August 2012
Growing concern

“There is a huge flood of new gamblers (2%
population currently addicted)…some 100,000 more
Swedes become addicted to gambling each year…
women most likely to be addicted, with slot machines
and online games being the most common”
        Swedish National Institute of Public Health August 2012
But this could only be the beginning –
       growth areas for gambling are online
               a) Mobile gambling
             b) Social gambling sites
Growth in online gambling – Australia

  • “Betting on Australia’s two largest football codes
    is set to double over the next 5 years driven by
    strong growth in online gambling on sports”
                                                      Deloites
  • “Mobile gambling is the biggest shift in online
    gambling, greater than offline to online. Tabcorp
    says 20% of their online revenue is through
    mobile…Sportsbet revenue is up 241% in the last
    year and 40% use their mobile to place bets”
   Dr Sally Gainsbury, Centre for Gambling Education Research,
                                     Southern Cross University
Growth in online gambling

• Paddy Power is launching social media gambling and
  mobile casino products following a record year (up
  47% in Australia, 79% Eire, online up 36%)
• New online forms of online gambling payment
  solutions enable confidential bank to casino transfers
  (UseMyFunds) in addition to many other such as
  Visa and Mastercard
Social gaming sites targeted

• “Convergence of casino gaming and social
  media will be ‘the next big thing’ in our
  industry”
                           Chairman MGM Resorts

• Will ellipse all land-based casinos in USA
• 800 million users (20 times Las Vegas
  tourists)
Earning Power of Zynga Poker

• In July 2012, Zynga announced that it will be
  providing real-money gaming outside of United
  States in 2013
• In July 2012 Zynga's games had over 306 million
  monthly active users
• Listed on the American Stock Exchange Zynga has
  quarterly revenue earnings in excess of US$300
  million and is experiencing annual growth of 19
  percent annually
• The mobile version of the game is available in 18
  languages
7 of top 20 Facebook earners Gambling Apps
“Play and challenge your friends to fun and addicting games...”

  Ranking $                Game                   Players
       1       Zynga Texas HoldEm Poker          33 million
       4       DoubleDown Casino                4.8 million
       7       Slotmania                        6.2 million
      11       Games by GSN                     4.3 million
      13       Zynga Slingo                      12 million
      17       Best Casino                      1.6 million
      19       Zynga Bingo                      5.5 million
Zynga – Buy Chips – 50% off !
Zynga “this game requires 800,000 chips to join”
Zynga – Buy Chips – Prepaid Cards
Online Poker
the player has $390, the Queen of Spades and the 10 of Hearts,
               they call the game to start with $4
So what are we going to do?
Lets not be reactive or do nothing

But we can do something:
• May be hard to control access to the Internet

But can:
• Increase education of gambling risk (very little public
  education currently)
• Can increase research into risk areas
• Can provide interventions online
• Can consider novel online approaches to therapy
Using technology in treatment

• Stage 1: phone counselling, manuals for self-directed
  programmes
• Stage 2: text counselling, email counselling
• Stage 3: counselling with Skype & others, smart
  phones/tablets, - mobile counselling
• Stage 4: virtual world/avatar programmes, more self-
  directed on-line programmes, stepped programmes,
  increased mobile counselling
PGs may prefer self-directed help

• N=106 affected by PG and/or PTSD (commonly
  coexists with treatment seeking PGs -12.5%-29%)
  were recruited from the community and asked their
  treatment preferences

• Treatment preferences for (only) PG identified that
  the preferred therapy was self-help, while (only)
  PTSD preferred psychotherapies – coexisting also
  preferred psychotherapies
  G
Internet may be both
          problem & solution!
Internet-based treatment may better meet the
needs of some PG clients because:
   • May increase uptake & retention
   • Enquiries can be less stressful
   • CBT & MI easily adapted
   • Cost effective
   • Accessibility, especially when geographical/time
     restraints
                         Gainsbury & Blaszczynski (2011a)
Some support for this

• Small numbers of PGs seek formal treatment
• Review of 24 randomised Internet health/mental health
  programmes identified these have equal to or greater
  effectiveness than face-to-face therapy
• Some therapist interaction in online programmes
  indicated some greater effectiveness but mixed
• Younger PGs may relate better to online therapy
• Concluded: online PG programmes an alternative rather
  than a replacement for face to face therapy and an
  adjunct for those waiting for or exiting treatment
                              Gainsbury & Blaszyznski (2011b)
Proteus effect: Patricia & Baji
The future

• More than any other addiction (with the possible
  exception of pornography addiction), problem gambling
  is, and will be even moreso in the future, be impacted by
  technology
• Even if there is an underlying common substrate for
  addictions, and only objects may differ (such as alcohol,
  other drugs, pornography, compulsive buying, and
  problem gambling), treatment is often driven by these
  differences
• Adaptation, if alive and well, may provide an answer in
  the long term but still require a focus on minimising harm
  during the short-term duration of problem gambling

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Problem Gambling Treatment; the future arrives!

  • 1. Problem Gambling Treatment; the future arrives! Sean Sullivan PhD ABACUS Counselling, Training and Supervision Ltd
  • 2. Current challenges for all addictions • Alcohol abuse and resistance to legislate • Smoking – risking international sanctions and penalties because of ‘free trade’ conflicts with public health • Legal ‘party’ drugs – some initiatives but uncertain outcomes regarding proof of harm and levels for e.g. synthetic cannabis • Internet addiction – what is ‘normal’ use? Longer use becoming the norm • Gambling – some controls but technology challenges, social acceptance, and attractive taxation source – uncertain growth in problems
  • 3. PG differences to AOD • A relatively ‘pure’ behavioural addiction (no external drug influence) – often perception the addiction due more to choice • The reinforcer is a general reinforcer (e.g. money, praise) – it is resistant to satiation • Solution to problems arising from the behaviour may include continuation in the behaviour (has a built in solution i.e. a win!) • Money is a powerful reinforcer that most people want (drugs perhaps less so) – gives choice, respect, safety, peace of mind, hope………. • PG may be less likely to seek help
  • 4. The old days • Gambling semi-controlled under Gaming & Lotteries Act 1977 • Lotto introduced 1987 • Gambling machines existed, but not recognised under the Act – became ‘legal’ in 1988 • No casinos pre 1994– Committee of Enquiry into casinos 1988-1989 • First casino opens 1994, by 2003, a total of 6 casinos open
  • 5. Into the new era • 2003 Gambling Act – no NZ Internet gambling except Lottery & racing/sports • Online betting – Racing Board monopoly on racing and sports betting or Lotto • Internet gambling – allowed if based overseas • Technology and accessibility the challenge – can be accessed 24 hrs a day
  • 6. Global online gambling growth Ferguson 2012
  • 7. Mobile gambling growth • UK – 20% wagers are via online mobile devices • Now in NZ: In play betting can prompt gambling– ‘next try/yellow card?’ • Estimated world-wide growth of gambling via mobile devices will increase from the $20B in 2011 to $100B in 2017 Juniper Research (May 2012)
  • 8. An important income resource for governments • Because gambling is a substantial source of duty/tax, a large employer, and is part-owned by the state (Lotto), conflict of interest may be perceived when gambling expansion/reduction • NZ Gambling Act – no ‘for profit’ gambling permitted other than casinos • Monopoly on Internet gambling in NZ given to Lottery Commission and Racing Board • In Australia, 11% (average) of all State income is raised from gambling
  • 9. But is problem gambling reducing? Some suggest problem gamblers ‘adapt’ & reduce their harm
  • 10. The case for PG reducing ‘While far from certain, problem gambling prevalence rates appear to have fallen somewhat. It is unclear how much this reflects natural adaptation or the impact of government policy, though both are likely to have contributed’ Productivity Commission 2009
  • 11. But….. The Productivity Commission also comments: ‘Given (the wide influences on PG) reductions are unlikely to continue without environmental changes’
  • 12. From exposure to adaptation contagion disease model applies? LaPlante & Shaffer, 2008
  • 13. The adaptation model • The assumption that people adapt to novel forms of gambling, much like a contagion disease model reacts to an epidemic, may not apply to an addiction • If people adapted to gambling machines, one would expect at least this to occur within a decade. Between 1988 – 2008 in NZ, no such adaptation occurred demonstrated by reduced gambling machine spending (for same number of machines)
  • 14. What would we expect if adaptation true? Less spent on gambling But assumes due to gambling reducing: • The larger proportion (non-problem gamblers) may be more likely to reduce discretionary spending especially in a recession • Problem gamblers increase their problems/gambling when under stress (DSM) • Reduction in amount spent may mask increased problem gambling spending – especially if those financially disadvantaged increase and this group are known to be at higher risk for PG (e.g. during a recession)
  • 15. Less spending not necessarily reduced PGs hypothetical example 120 100 Total $ spent 80 Problem gamblers 60 Non-problem 40 gamblers 20 0 2010 2011
  • 16. Is gambling participation reducing? Perhaps… • Abbott et al (1991) – 90% gambled in last 6 months • Abbott et al (2000) – 87% gambled in last 6 months • NZ Health Survey 2006/7 – 65% gambled in last 12 months • Spending in NZ on gambling has remained relatively constant at $2B from 2004-2008 • Is spending per capita increasing (if participation is reducing) or people’s perception of their gambling, or not, flawed?
  • 17. Hard to measure means uncertainty • But gambling losses over time is a blunt tool • Productivity Commission (Australia) estimates 40% total losses on gambling machines and 20% from moderate problem/at risk gamblers • May mask the possibility that ‘controlled’ or non- problem gamblers do reduce their gambling during a recession while problem gamblers may increase their gambling as stress increases (a recognised influence)
  • 18. Losses constant during recession (excluding Internet gambling) Gambling losses p/a ($M) 2500 2000 1500 1000 500 0 07 02 03 04 05 06 08 09 10 11 20 20 20 20 20 20 20 20 20 20 EGM loss ($M) All gambling loss ($M)
  • 19. Adaptation – do PGs adapt? The Victorian Gambling Study 2011 • N=5003 • Surveyed in 2008 and again 2009 (repeat) using a gambling screen that identified levels of PG: – NT=not a gambler – NPG= a gambler but not a problem gambler – LR=low risk for problem gambling – MR=moderate risk for problem gambling – PG=problem gambler • Findings: – 5.6% of gamblers increased their risk for PG – 4.3% decreased their risk – PGs were, with Non-PGs, the most stable categories
  • 20. The Victorian Gambling Study 2011 (excluding Internet gambling) Transitions between PGSI groups Wave One to Wave Two (n=5003)
  • 21. But assumption in surveys is that responders are telling the truth
  • 22. If data is suspect, can we rely on prevalence rates or ‘adaptation’? • As only 29% of problem gamblers reported in the 1999 Australian Productivity Commission report stated they would tell the truth about their gambling, surveys specifically on gambling probably strongly under-estimate, and may vary over time
  • 23. A.C. Nielsen NSW Survey 2007
  • 24. Some considerations • Productivity Commission also states: ‘the share of spending accounted for by PGs appears to be very high – with no apparent downward trend’ • Higher risks with those with little disposable income – many within this population spending all their non- disposable income may not result in increases in total gambling losses
  • 25. The future? • Problem gambling in its most severe form is both chronic and persistent • Many factors suggest increased, rather than reduced, gambling problems in the future – New generation gambling machines, – ‘improvement’ in internet gambling sites, – greater competition between modes of gambling (e.g. Lotto more often, larger prizes), and – greater accessibility due to electronic advances
  • 26. But gambling technology improves too so difficult to compare years The total amount lost per poker machine (in Australia) has risen fivefold from $19,600 in 1992-93 to $101,100 in 2008-09. The Age, July 2012
  • 27. A hidden, difficult to measure, but resilient addiction • Prevalence measures used vary (and no gold standard) • Problem gambling is ‘persistent and recurrent’ and almost all prevalence studies for PG are snapshots rather than longitudinal assessments • Stigma high, visual symptoms low or ambiguous, may mean under-identified
  • 28. PG prevalence in NZ: stable? 14000 12000 10000 clients 8000 6000 4000 2000 0 11 0 /7 6 8 9 /1 5/ 7/ 8/ 06 0 09 0 0 0 /2 20 20 20 20 20 10 20 F to F intensive F to F all clients Gambling Helpline
  • 29. PGs are reluctant help-seekers 2011/2012 7000 6000 5000 New clients 4000 3000 2000 1000 0 Brief intervention Received both Full intervention
  • 30. Internet gambling The future risk?
  • 31. Internet gambling • Online gambling sites typically see revenues of $300 per paying user per month • Asia-Pacific online gambling expected to grow from $(US)34.4B to $(US)79.3B in the next few years PriceWaterhouseCooper
  • 32. Exposure to technology – Internet Gambling • Although internet gambling has been available for at least a decade, few problem gamblers present to services with this problem mode • 2011 Gambling Helpline n=21 clients with Internet gambling problems; • NZ face to face doesn’t code by Internet until mid 2012
  • 33. Reasons for low Internet PG presentation • Internet gambling not conducted in a public venue – little harm minimisation controls enforced, less overview (hidden) • Most clients present under some pressure – PG identified by gambling venue and excluded – access to services a requirement for re-admission to venue – Others note the excessive gambling and motivate PG to access treatment • Remember: few PGs seek help and may be influenced by hope of winning their way out of financial problems
  • 34. Reasons for low Internet PG In past gambling may have been hampered by: – Low Internet speed and/or insufficient computer power (slow, low level graphics) – Uncertainty around honesty or reliability of process – Fear of complexity of the Internet Now: – High speed and computer power widely available – Familiarity with Internet (especially youth) – New ‘gaming’ without money widely accessible and introduces new Internet gamblers to the process – Cross-over opportunities between gaming & gambling
  • 35. Monthly online gambling by 18-22yr olds Annenberg Survey: U Pennsylvania 2010 18 16 14 % aged 18-22 yrs 12 10 Males 8 Females 6 4 2 0 2008 2010
  • 36. Internet gambling here • Health Sponsorship Council 2011: 8.7% of New Zealanders had gambled online in last 12 months (2% overseas sites balance Lotto-Racing-Sports NZ sites) Press Release “Proposals to increase internet speed and capacity, patterns of online gambling in overseas jurisdictions and increasing use of online payment methods all combine to suggest that NZ might be approaching a tipping point” “How do you stop people, in the privacy of their own home, accessing gaming sites?” Assoc Minister of Health 11th August 2012
  • 37. Growing concern “There is a huge flood of new gamblers (2% population currently addicted)…some 100,000 more Swedes become addicted to gambling each year… women most likely to be addicted, with slot machines and online games being the most common” Swedish National Institute of Public Health August 2012
  • 38. But this could only be the beginning – growth areas for gambling are online a) Mobile gambling b) Social gambling sites
  • 39. Growth in online gambling – Australia • “Betting on Australia’s two largest football codes is set to double over the next 5 years driven by strong growth in online gambling on sports” Deloites • “Mobile gambling is the biggest shift in online gambling, greater than offline to online. Tabcorp says 20% of their online revenue is through mobile…Sportsbet revenue is up 241% in the last year and 40% use their mobile to place bets” Dr Sally Gainsbury, Centre for Gambling Education Research, Southern Cross University
  • 40. Growth in online gambling • Paddy Power is launching social media gambling and mobile casino products following a record year (up 47% in Australia, 79% Eire, online up 36%) • New online forms of online gambling payment solutions enable confidential bank to casino transfers (UseMyFunds) in addition to many other such as Visa and Mastercard
  • 41. Social gaming sites targeted • “Convergence of casino gaming and social media will be ‘the next big thing’ in our industry” Chairman MGM Resorts • Will ellipse all land-based casinos in USA • 800 million users (20 times Las Vegas tourists)
  • 42. Earning Power of Zynga Poker • In July 2012, Zynga announced that it will be providing real-money gaming outside of United States in 2013 • In July 2012 Zynga's games had over 306 million monthly active users • Listed on the American Stock Exchange Zynga has quarterly revenue earnings in excess of US$300 million and is experiencing annual growth of 19 percent annually • The mobile version of the game is available in 18 languages
  • 43. 7 of top 20 Facebook earners Gambling Apps “Play and challenge your friends to fun and addicting games...” Ranking $ Game Players 1 Zynga Texas HoldEm Poker 33 million 4 DoubleDown Casino 4.8 million 7 Slotmania 6.2 million 11 Games by GSN 4.3 million 13 Zynga Slingo 12 million 17 Best Casino 1.6 million 19 Zynga Bingo 5.5 million
  • 44. Zynga – Buy Chips – 50% off !
  • 45. Zynga “this game requires 800,000 chips to join”
  • 46. Zynga – Buy Chips – Prepaid Cards
  • 47. Online Poker the player has $390, the Queen of Spades and the 10 of Hearts, they call the game to start with $4
  • 48. So what are we going to do?
  • 49. Lets not be reactive or do nothing But we can do something: • May be hard to control access to the Internet But can: • Increase education of gambling risk (very little public education currently) • Can increase research into risk areas • Can provide interventions online • Can consider novel online approaches to therapy
  • 50. Using technology in treatment • Stage 1: phone counselling, manuals for self-directed programmes • Stage 2: text counselling, email counselling • Stage 3: counselling with Skype & others, smart phones/tablets, - mobile counselling • Stage 4: virtual world/avatar programmes, more self- directed on-line programmes, stepped programmes, increased mobile counselling
  • 51. PGs may prefer self-directed help • N=106 affected by PG and/or PTSD (commonly coexists with treatment seeking PGs -12.5%-29%) were recruited from the community and asked their treatment preferences • Treatment preferences for (only) PG identified that the preferred therapy was self-help, while (only) PTSD preferred psychotherapies – coexisting also preferred psychotherapies G
  • 52. Internet may be both problem & solution! Internet-based treatment may better meet the needs of some PG clients because: • May increase uptake & retention • Enquiries can be less stressful • CBT & MI easily adapted • Cost effective • Accessibility, especially when geographical/time restraints Gainsbury & Blaszczynski (2011a)
  • 53. Some support for this • Small numbers of PGs seek formal treatment • Review of 24 randomised Internet health/mental health programmes identified these have equal to or greater effectiveness than face-to-face therapy • Some therapist interaction in online programmes indicated some greater effectiveness but mixed • Younger PGs may relate better to online therapy • Concluded: online PG programmes an alternative rather than a replacement for face to face therapy and an adjunct for those waiting for or exiting treatment Gainsbury & Blaszyznski (2011b)
  • 54.
  • 55.
  • 57. The future • More than any other addiction (with the possible exception of pornography addiction), problem gambling is, and will be even moreso in the future, be impacted by technology • Even if there is an underlying common substrate for addictions, and only objects may differ (such as alcohol, other drugs, pornography, compulsive buying, and problem gambling), treatment is often driven by these differences • Adaptation, if alive and well, may provide an answer in the long term but still require a focus on minimising harm during the short-term duration of problem gambling

Notes de l'éditeur

  1. LaPlante & Shaffer, in press, American Journal of Orthopsychiatry