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New PDMP Developments LCDR Chris Jones, PharmD, MPH Prescrip3on Drug Overdose Team, Division of Uninten3onal Injury Preven3on, Centers for Disease Control and Preven3on Josh Bolin Government Affairs Director, Na3onal Associa3on of Boards of Pharmacy Marty Allain Director, INSPECT

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PDMP Workshop: New PDMP Developments National Rx Drug Abuse Summit April 2-4, 2013 Presentation by LCDR Chris Jones,

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New  PDMP  Developments    

LCDR  Chris  Jones,  PharmD,  MPH  Prescrip3on  Drug  Overdose  Team,  Division  of  Uninten3onal  Injury  Preven3on,  Centers  

for  Disease  Control  and  Preven3on    

Josh  Bolin    Government  Affairs  Director,  Na3onal  Associa3on  of  Boards  of  Pharmacy    

Marty  Allain    Director,  INSPECT    

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Learning  Objec3ves    

1.  Explain  a  Prescrip3on  Drug  Monitoring  Program  (PDMP)  

2.  Inves3gate  the  efficiency  and  effec3veness  of  state-­‐level  programs  to  make  improvements.  

3.  Outline  strategies  to  enhance  collabora3ons  with  law  enforcement,  prosecutors,  treatment  professionals,  the  medical  community,  pharmacies,  and  regulatory  boards  to  establish  a  comprehensive  PDMP  strategy.  

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Prescrip;on  Drug  Monitoring  Programs  The  Na;onal  Perspec;ve  

Christopher  M.  Jones,  PharmD,  MPH  LCDR,  US  Public  Health  Service    

Centers  for  Disease  Control  and  Preven3on  April  2  –  4,  2013  

Omni  Orlando  Resort    at  ChampionsGate  

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Learning  Objec;ves  

•  Describe  the  current  PDMP  landscape  in  the  US  

•  Discuss  the  role  of  PDMPs  in  reducing  prescrip3on  drug  abuse  and  overdose  

•  Describe  the  evidence-­‐base  suppor3ng  PDMPs  

•  Describe  PDMP  best  prac3ces  

•  Discuss  new  opportuni3es  for  PDMPs  

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Overview  of  Presenta;on  

•  PDMP  background  and  role  

•  PDMP  best  prac;ces  •  PDMP  effec;veness  

•  Current  ini;a;ves  

Presenta;on  overview  

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Prescrip;on  Drug  Abuse  Preven;on  Plan  

•  Blueprint  for  Federal  Agency  efforts  on  prescrip3on  drug  abuse  

•  4  focus  areas  –  Educa3on  –  Prescrip3on  Drug  Monitoring  Programs  

–  Proper  Medica3on  Disposal  

–  Enforcement  

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What  are  PDMPs?  •  State  databases  that  collect  informa3on  on  controlled  

prescrip3ons  drugs  dispensed  by  pharmacies  (and  dispensing  physicians  in  some  states)    

•  Data  Collected    –  CII-­‐CIV  drugs  (some  CV)  

–  Prescriber  

–  Dispenser  

–  Pa3ent  

–  Date  dispensed  

–  Drug  

–  Strength  

–  Quan3ty  

–  Refills    

–  Method  of  payment  

•  Varia3on  in  state  programs  

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How  can  PDMPs  be  Used?  

•  Clinical  

•  Regulatory  Oversight    •  Surveillance  and  Evalua;on  Tool  

•  Law  Enforcement  •  Passive  vs  Proac;ve  

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Current  Status  of  PDMPs    49  States  have  legisla;on  authorizing  a  PDMP  

  Opera;onal  in  43  states  

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Overview  of  Presenta;on  

•  PDMP  background  and  role  

•  PDMP  goals  and  best  prac;ces  •  PDMP  effec;veness  

•  Current  ini;a;ves  

Presenta;on  Overview  

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PDMP  Goals  

•  All  states  have  PDMPs  

•  Mechanisms  in  place  for  communica3on  between  states  (interoperability)  

•  Incorporated  in  to  normal  workflow  by  leveraging  HIT  (EHRs/HIEs)  

•  High  u3liza3on  among  healthcare  providers  

•  Improved  clinical  care  and  reduced  misuse,  abuse,  and  overdose  from  controlled  substances  

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PDMP  Best  Prac;ces  •  Outlines  a  set  of  best  prac;ces    

•  Research  agenda  

•  PDMP  Funding  

•  A  few  best  prac;ces  •  Allow  access  to  prescribers  and  dispensers  

•  Allow  access  to  regulatory  boards,  state  Medicaid  and  public  health  agencies,  Medical  Examiners,  and  law  enforcement  (under  appropriate  circumstances)  

•  Provide  real-­‐3me  data    

•  Share  data  with  other  states  (interoperability)  

•  Integrate  with  other  health  informa3on  technologies  to  improve  use  among  health  care  providers  

•  Have  ability  to  send  unsolicited  reports  

•  Use  PDMP  data  to  iden3fy  high-­‐risk  pa3ents    

•  Use  PDMP  data  to  iden3fy  outlier  prescribers  

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Overview  of  Presenta;on  

•  PDMP  background  and  role  

•  PDMP  goals  and  best  prac;ces  •  PDMP  effec;veness  

•  Current  ini;a;ves  

Presenta;on  Overview  

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PDMP  Effec;veness  peer-­‐reviewed  literature  

•  Research  consistently  suggests  PDMPs  reduce  prescribing  of  schedule  II  opioid  analgesics.    •  One  study  found  compensatory  increases  in  

schedule  III  opioids.  

•  2009  study  found  states  with  PDMPs  had  lower  opioid  substance  abuse  treatment  rates  compared  to  states  without  PDMPs.  

•  A  recent  randomized  trial  of  use  of  proac;ve  repor;ng  by  an  insurer  rather  than  a  PMDP  suggests  such  repor;ng  reduces  the  number  of  prescribers  and  prescrip;ons.      

1.  Simeone  R,  Holland  L.  Washington,  D.C.:  U.S.  Dept.  of  Jus3ce,  Office  of  Jus3ce  Programs2006  2006.  hgp://www.simeoneassociates.com/simeone3.pdf    2.  Cur3s  LH,  Stoddard  J,  Radeva  JI,  Hutchison  S,  Dans  PE,  Wright  A,  et  al.  Geographic  varia3on  in  the  prescrip3on  of  schedule  II  opioid  analgesics  among  outpa3ents  in  the  United  States.  Health  Serv  Res.  2006  2006;41:837-­‐55.  3.  Paulozzi  L,  Kilbourne  E,  Desai  H.  Prescrip3on  drug  monitoring  programs  and  death  rates  from  drug  overdose.  Pain  Medicine.  2011;12:747-­‐54.  4.  Reisman  RM,  Shenoy  PJ,  Atherly  AJ,  Flowers  CR.  Prescrip3on  opioid  usage  and  abuse  rela3onships:  an  evalua3on  of  state  prescrip3on  drug  monitoring  program  efficacy.  Substance  Abuse:  Research  and  Treatment.  2009;3(SART-­‐3-­‐Shenoy-­‐et-­‐al):41.  5.  Gonzalez  A,  Kolbasovsky  A.  Impact  of  a  managed  controlled-­‐opioid  prescrip3on  monitoring  program  on  care  coordina3on.  Am  J  Manag  Care.  2012;18(9):516-­‐24.  

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PDMP  Effec;veness  peer-­‐reviewed  literature  

•  2012  analysis  of  Poison  Control  Center  data  concluded  states  with  PDMPs  had  lower  annual  increases  in  opioid  misuse  or  abuse  from  2003-­‐2009    

•  Use  of  PDMP  data  in  an  ED  suggests  it  can  change  prescribing.    PDMP  data  review  changed  prescribing  in  41%  of  cases    •  61%  received  fewer  or  no  opioids  •  39%  received  more  opioid  medica3on  than  previously  planned  

•  Impact  on  overdose  mortality  has  not  been  found,  at  least  based  on  data  through  2005.      

1.  Reifler  L,  Droz  D,  Bailey  J,  Schnoll  S,  Fant  R,  Dart  R,  et  al.  Do  prescrip3on  monitoring  programs  impact  state  trends  in  opioid  abuse/misuse?  Pain  Medicine.  2012;3(3):434-­‐42.  2.  Baehren  DF,  Marco  CA,  Droz  DE,  Sinha  S,  Callan  EM,  Akpunonu  P.  A  statewide  prescrip3on  monitoring  program  affects  emergency  department  prescribing  behaviors.  Ann  Emerg  Med.  2009  2009;doi:10.1016/j.annemergmed.2009.12.011.  3.  Paulozzi  L,  Kilbourne  E,  Desai  H.  Prescrip3on  drug  monitoring  programs  and  death  rates  from  drug  overdose.  Pain  Medicine.  2011;12:747-­‐754.  

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PDMP  Effec;veness  grey  literature  

•  Surveys  indicate  prescribers  find  PDMPs  to  be  a  useful  clinical  tool.  

•  Surveys  find  clinicians  in  many  cases  report  altering  their  prescribing  a]er  reviewing  a  PDMP  report.  

•  Proac;ve  repor;ng  reduces  doctor  shopping  by  increasing  awareness  among  providers  about  at-­‐risk  pa;ents  leading  to  changes  in  prescribing  behaviors.  

1.  PMP  Center  of  Excellence,  “Trends  in  Wyoming  PMP  prescrip3on  history  repor3ng:  evidence  for  a  decrease  in  doctor  shopping?”  2010,  hgp://www.pmpexcellence.org/sites/all/pdfs/NFF_wyoming_rev_11_16_10.pdf    2.  PMP  Center  of  Excellence,  “Nevada’s  Proac3ve  PMP:  The  Impact  of  Unsolicited  Reports”  October,  2011.  hgp://www.pmpexcellence.org/sites/all/pdfs/nevada_nff_10_26_11.pdf    4.  Alliance  of  States  with  Prescrip3on  Monitoring  Programs,  “An  Assessment  of  State  Prescrip3on  Monitoring  Program  Effec3veness  and  Results”  Version  1,  11.30.07,  hgp://pmpexcellence.org/pdfs/alliance_pmp_rpt2_1107.pdf  5.  Kentucky  Cabinet  for  Health  and  Family  Services  and  Kentucky  Injury  Preven3on  and  Research  Center,  2010  KASPER  Sa3sfac3on  Survey.    6.  Lambert  D.  Impact  evalua3on  of  Maine’s  prescrip3on  drug  monitoring  program.  Muskie  School  of  Public  Service,  University  of  Southern  Maine:  Portland,  Maine,  March,  2007.  7.  Communica3on  from  LA  PMP  to  PMP  Center  of  Excellence.  

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PDMP  Effec;veness    grey  literature  

•  Public  safety  officials  have  endorsed  the  u3lity  of  PDMPs.  

•  A  2010  survey  found  73%  of  KY  law  enforcement  officers  who  used  PDMP  data  strongly  agreed  that    the  PDMP  was  an  excellent  tool  for  obtaining  evidence  in  the  inves3ga3ve  process.  

•  2002  GAO  report  concluded  that  PDMPs  are  a  useful  tool  to  reduce  drug  diversion.    

1.  PMP  Center  of  Excellence.  Perspec3ve  from  Kentucky:  using  PMP  data  in  drug  diversion  inves3ga3ons.  May,  2011.    hgp://www.pmpexcellence.org/sites/all/pdfs/NFF_kentucky_5_17_11_c.pdf  2.  U.S.  General  Accoun3ng  Office.  Prescrip3on  Drugs:  State  Monitoring  Programs  Provide  Useful  Tool  to  Reduce  Diversion.  Washington,  DC:  U.S.  General  Accoun3ng  Office;  2002.  Report  No.  GAO-­‐02-­‐634  

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•  PDMP  background  and  role  

•  PDMP  goals  and  best  prac;ces  •  PDMP  effec;veness  

•  Current  ini;a;ves  

Presenta;on  Overview  

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Current  PDMP  Ini;a;ves  •  Interoperability  

•  Health  Informa;on  Technology  and  PDMP  Pilot  programs  •  PDMP  Interoperability  and  Electronic  Health  Record  

Integra;on  Project  

•  Interagency  Working  Group  subcommi^ee  on  PDMP  integra;on  

•  Providing  technical  assistance  to  states  and  others  to:  •  Focus  efforts  on  pa3ents  at  highest  risk  of  abuse  and  overdose    •  Focus  on  prescribers  devia3ng  from  accepted  medical  prac3ce  

•  Maximize  surveillance  and  evalua3on  capabili3es  of  PDMPs  

•  PDMP  evalua;ons  

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Conclusions  

•  PDMPs  can  be  very  useful  for  clinical,  surveillance,  evalua;on,  and  regulatory  purposes  

•  Best  prac;ces  need  to  be  implemented  to  maximize  u;lity  of  PDMPs  

•  Incorpora;on  into  clinical  workflow  can  increase  u;liza;on  among  health  care  providers  

•  Public  health  and  public  safety  must  partner  to  make  the  most  use  of  PDMP  data  

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Christopher M. Jones, PharmD, MPH [email protected]

Thank  You  

The findings and conclusions in this report are those of the author and do not necessarily represent the views of the Centers for Disease Control and Prevention.

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Josh Bolin Government Affairs Director

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PMIX  Architecture    

•  Harold  Rogers  Prescrip3on  Drug  Monitoring  Program  Grants    

•  Sponsored  by  the  Bureau  of  Jus3ce  Assistance  •  Prescrip3on  Monitoring  Program  Informa3on  Exchange  (PMIX)  Architecture  is  an  interoperability  infrastructure  that  seeks  to  facilitate  interstate  data  sharing  between  PMPs  or  “Hubs”  

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Problems  with  PMPs:  •  Persons  engaging  in  doctor  shopping  don’t  stay  in  one  state,  

par3cularly  areas  that  border  other  states  •  Querying  the  state  PMP  may  not  give  a  complete  picture  to  a  

physician  or  pharmacist  of  the  controlled  substances  a  person  is  obtaining    

•  Low  U3liza3on/Lack  of  Integra3on  •  PMPs  lack  func3on  and  Analy3cal  Tools  

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•  Creates  interoperability  for  individual  state  PMPs  via  a  hub  system  

•  Authorized  users  log  into  their  own  state  PMP  and  check  boxes  for  other  par3cipa3ng  states  from  which  they  want  data  

•  The  hub  routes  the  requests  to  the  various  states  and  the  informa3on  back  to  the  authorized  user  in  one  collated  report  

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•  All  protected  health  informa3on  is  encrypted  and  not  visible  to  the  hub,  secure,  and  HIPAA  compliant  –  No  protected  health  informa3on  stored  by  the  hub,  just  a  pass  through  

from  one  state  to  the  authorized  requestor  in  another  state  

•  Easy  for  states  –  Only  sign  one  memorandum  of  understanding  (MOU)/contract  with  

NABP  –  do  not  have  to  sign  one  for  every  other  state  to  exchange  data  

–  Each  state’s  rules  about  access  are  enforced  automa3cally  by  the  hub  

•  Governed  by  states  via  PMP  InterConnect  Steering  Commigee  

•  July  2011  went  live  and  today…since  launch,  PMP  InterConnectTM  has  processed  nearly  1.5  million  requests  in  an  average  of  7.8  seconds  to  process  a  request.      

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Cost  for  States  to  Par3cipate  •  $0  par3cipa3on  costs,  although  may  incur  

some  costs  by  their  own  PMP  sovware  

companies  

•  NABP  paying  from  its  own  revenues  (exams/

accredita3ons)  

•  Harold  Rogers  Prescrip3on  Monitoring  

Program  Grants  

•  NABP  Founda3on  Grants  

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•  14  PMPs-­‐-­‐Arizona,  Connec3cut,  Illinois,  Indiana,  Kansas,  Michigan,  New  Mexico,  North  Dakota,  Ohio,  South  Carolina,  South  Dakota,  and  Virginia  are  ac3vely  sharing  data  

•  Colorado,  Delaware,  Louisiana,  Tennessee  and  West  Virginia  should  all  be  connected  and  sharing  data  by  the  end  of  Q2  

•  Arkansas,  Idaho,  Minnesota,  Mississippi,  Nevada  and  Utah  have  executed  agreements  to  par3cipate  

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Integra3on  Projects  

•  Leveraging  our  growing  “na3onal  network”  •  Guidance  from  PMP  InterConnect  Steering  Commigee  

•  ONC  Pilots  •  3rd  Party  Inquiries  

– Networks  – Electronic  Medical  Records  – Pharmacy    – Health  Informa3on  Exchanges  

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MAPS/Electronic  Prescribing  Sovware  

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MAPS/Electronic  Prescribing  Sovware  

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PDMP  Workshop:  Data  Integra;on  

April  2  –  4,  2013  Omni  Orlando  Resort    

at  ChampionsGate  

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Topics  for  Discussion    

•  Status  of  Indiana  PDMP  pre-­‐data  integra3on  and  mo3va3on  to  increase  use;  

•  Challenges  to  using  program  via  Web;  •  Integra3on  efforts  and  INPC  partner;  •  Pilot  I  results;  •  Integra3on  efforts  +  NarxCheck;  and  •  Pilot  II  results.  

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LICENSE  TYPE   UNREGISTERED   REGISTERED   TOTAL     %  REGISTERED  CLINICAL  NURSE  SPECIALIST   61   73   134   54%  CSR-­‐CERTIFIED  NURSE  MIDWIFE   42   16   58   28%  CSR-­‐OSTEOPATHIC  PHYSICIAN   680   524   1204   44%  CSR-­‐PHYSICIAN   10885   5256   16141   33%  DENTIST   2030   1149   3179   36%  NURSE  PRACTITIONER   1599   1382   2981   46%  PHARMACIST   7002   2903   9905   29%  PHYSICIAN  ASSISTANT   362   250   612   41%  PODIATRIST   229   101   330   31%  RESIDENT   1204   95   1299   7%  VETERINARIAN   1360   34   1394   2%  TOTALS   25454   11783   37237   32%  

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Username: Mallain Password: 27%9874M

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Workflow  Ready    

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•  There  was  a  58%  reduc;on  in  either  prescrip3ons  wrigen  or  number  of  pills  prescribed.  

•  In  72%  of  cases  there  was  more  informa;on  in  the  report  than  the  physician  was  aware  of.  

•  100%  reported  that  integrated  report  was  easier  to  use.  

•  2  out  of  3  accessing  report  in  INPC  not  registered  w/  INSPECT  •  Worst  offenders  are  less  ac3ve  

•  Requests  increased  from  5,000  to  9,000  daily  

•  “I  have  to  say  that  this  is  probably  one  of  the  more  genius  moves  of  the  21st  century.    Having  easy  access  to  INSPECT  without  going  to  a  totally  different  website  and  have  it  pop  up  instantly  has  taken  a  lot  of  Eme  off  of  decision  making  for  me.    Thanks  for  spearheading  it.”                      Wishard  ER  Physician  

Pilot  I  Survey  Results  

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START DATE

END DATE 8+ 9+ 10+

1 11/9/2011 1/8/2012 146 66 33

2 11/16/2011 1/15/2012 134 67 37

3 11/23/2011 1/22/2012 135 71 38

4 11/30/2011 1/29/2012 136 59 39

5 12/7/2011 2/5/2012 125 63 41

6 12/14/2011 2/12/2012 133 61 35

7 12/21/2011 2/19/2012 130 71 37

8 12/28/2011 2/26/2012 143 64 32

START DATE

END DATE 8+ 9+ 10+

2 11/14/2012 1/13/2013 116 51 25

3 11/21/2012 1/20/2013 109 52 22

4 11/28/2012 1/27/2013 107 30 29

5 12/5/2012 2/3/2013 107 47 26

6 12/12/2012 2/10/2013 105 39 19

7 12/19/2012 2/17/2013 101 38 14

8 12/26/2012 2/24/2013 102 43 13

WEEK 8+ 9+ 10+ 1 -23 -20 -12 2 -13 -24 -32 3 -19 -27 -42 4 -21 -49 -26 5 -14 -25 -37 6 -21 -36 -46 7 -22 -46 -62 8 -29 -33 -59

#  Pts.  w/  8+  Rxs.  in  60  days  

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Patient, Dummy, DOB: 25-Apr-1973 (39 yrs) Male

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Patient, Dummy, DOB: 25-Apr-1973 (39 yrs) Male

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Patient, Dummy, DOB: 25-Apr-1973 (39 yrs) Male

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Patient, Dummy, DOB: 25-Apr-1973 (39 yrs) Male

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Patient, Dummy, DOB: 25-Apr-1973 (39 yrs) Male

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Pilot  II  Preliminary  Findings