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Policy Issues:
Medical Wait Times
    HLTH 405 / Canadian Health Policy
                Winter 2012
  School of Kinesiology and Health Studies




                Course Instructor:
                Alex Mayer, MPA
Announcement
• Don Drummond speaking at the Queen’s
  School of Policy Studies this Thursday
  o Rm. 102 at 12pm (noon).
  o Presentation on his recommendations to reform
    Ontario’s public services.
  o Good opportunity to ask tough questions!
Wait Times
Topics for today’s lecture:

Policy Issue #3: Medical Wait Times
• Wait times as a policy problem
• Canadian Wait Times in a Global Context
• 2004 Health Accord: Wait Times Strategy
• 2005: The Chaoulli case
• Ontario’s progress: 2005-2011
• Remaining Challenges
Wait Times
• A mainstay of universal health care systems
  rationed based on medical need rather than
  ability to pay.
  o Ensures that public health care resources are
    being used to their full capacity (i.e.
    ‚efficiently‛) at all times.
  o Imposes a time cost that discourages people
    from accessing care for trivial reasons.
Wait Times
• Wait times can be measured for all health
  care access points, including…
  o Access to primary care
  o Access to hospital emergency room (ER)
    treatment
  o Access to surgical and imaging procedures
  o Alternative level of care (ALC) placement
  o Receipt of home care services
Wait Times
• Not problematic so long as…
  o Patients are appropriately triaged (i.e. patients
    with the most urgent care needs are seen
    immediately).
  o All patients are seen within time periods
    specified by clinical care guidelines, in order to
    prevent unnecessary suffering, complications
    and mortality.
  o Wait times meet the public’s (taxpayers’)
    reasonable expectations and do not undermine
    public confidence in the health care system.
If medical wait times are a
 normal part of our system,
   why have they been the
subject of so much attention?
Wait Times
• Not problematic so long as…
  o Patients are appropriately triaged (i.e. patients with the
    most urgent care needs are seen immediately).
  o All patients are seen within time periods specified by
    clinical care guidelines, in order to prevent unnecessary
    suffering, complications and mortality.
  o Wait times meet the public’s (taxpayers’) reasonable
    expectations and do not undermine public confidence in
    the health care system.
Do Wait Times Worsen
   Health Outcomes?
o Coronary artery bypass:
   • Between ‘91-’93, 0.4% (n=34) of Ontario patients died while in
     the queue. (Naylor et al, 1995)
o Hip replacement:
   • Canadian patients experience higher wait times, hospital length
     of stay and mortality rates than U.S. patients. However, a
     competing risks hazards model shows that wait time is not
     significantly associated with mortality. (Carrier et al, 1993;
     Ho, Hamilton and Roos, 2000)
o Cancer Surgery:
   • Only 2 of 6 studies registered a higher hazards ratios for PSA
     recurrence among prostate cancer patients experiencing delays
     ≥3 months in waiting for surgical treatment. (Saad et al, 2006)
Wait Times
• Not problematic so long as…
  o Patients are appropriately triaged (i.e. patients with the
    most urgent care needs are seen immediately).
  o All patients are seen within time periods specified by
    clinical care guidelines, in order to prevent unnecessary
    suffering, complications and mortality.
  o Wait times meet the public’s (taxpayers’) reasonable
    expectations and do not undermine public confidence in
    the health care system.
Wait Times Problem: Access
• In past decade, Canadians have consistently
  identified ‘wait times’ as the #1 barrier in accessing
  health services.
   o For laypeople, wait times are a tangible indicator of
     health care quality.
   o Canada’s global rankings in this regard easily becomes a
     flashpoint for public concern.
Global Wait Times Comparison
Global Wait Times Comparison
Wait Times Problem: Access
• Excessive wait times offer an effective line of
  attack for private interests that would benefit
  from the evolution of a parallel private-payer
  health care system in Canada.
      "Socialized Medicine" vs "Free Market Medicine" Video


• Whether it’s the ‘grass is always greener’ appeal of
  two-tiered care, or the fear of losing what we have to
  government mismanagement (overspending,
  underinvestment, etc)
   Wait times undermine public confidence in the system!
Are Canadians Waiting Too Long?
• For a patient, the answer is always yes.
• Medically, however, a patient’s place in line is
  determined by the severity and urgency of his/her
  case.
  o Severity refers to suffering, functional limitations, and risk of
    premature death.
  o Urgency refers to the extent to which clinical treatment is required
    immediately to avoid complications or death, based on the natural
    history of the pathology.
What the Media Sees


US Anti-Medicare Ad
http://www.youtube.com/watch?v=XwLp2KJCLOQ
Fact-Checking the Shona Holmes Case

“Time for a Reality Check on CNN’s ‘Reality Check’
       by Julia Mason, The Ottawa Citizen

… I found Holmes’ story both compelling and troubling. So I
decided to check a little further. On the Mayo Clinic’s website,
Shona Holmes is a success story.

But it’s a somewhat different story than the headlines might have
implied. Holmes’ “brain tumor” was actually a Rathke’s Cleft Cyst
on her pituitary gland.”

According to the John Wayne Cancer Centre: “Rathke’s Cleft
Cysts are not true tumors or neoplasms; they are
benign cysts.”
Are Canadians Waiting Too Long?
Wait Times Problem: Access
Conclusion:
• Whether it’s the ‘grass is always greener’ appeal of
  two-tiered care, or the fear of losing what we have
  to government mismanagement (overspending,
  underinvestment, etc.) and declining quality…
   Wait times undermine public confidence in the
  system!
Solving the Wait Times
       Problem




      2004 Health Accord
Solving the Wait Times
           Problem
• 2004 Health Accord:
  In response to public concern, First Ministers put
  wait times front and centre in the 2004 HA.
  o Provinces/Territories to come up with medically acceptable wait
    times (i.e. ‘benchmarks’) for certain key health services by 2005.
  o ‘Five in Five’ plan – provinces to receive additional funding ($5.5B
    Wait Time Reduction Fund) to target wait times for 5 key services in
    the next 5 years, and to achieve meaningful reductions by 2007.
  o Provinces commit to increase % of patients treated within
    recommended benchmark period for cancer therapy, heart surgery,
    diagnostic imaging, joint replacement and sight restoration.
And Then a Curveball…




      The Chaoulli case
The Chaoulli Case
• 1996: Montreal businessman George Zeliotis waits
  1 year for hip replacement surgery. While waiting,
  he asks to purchase private insurance to skip the
  queue.
• When he learns this isn’t possible, he takes his
  case to court.
• He is accompanied by Dr. Chaoulli, who had
  previously failed to establish a private hospital in
  Quebec that would charge for publicly insured
  services.
The Chaoulli Case
• The plaintiffs asked the Supreme Court of Canada
  to strike down sections of the Quebec Hospital
  Insurance Act barring citizens from purchasing
  private insurance for publicly financed services.
• The Court agrees that wait times are
  ‚unreasonably long‛.
• By a 4-3 decision, the Court rules to strike down
  the provincial policy (June 2005).
The Chaoulli Case
• Asked whether the policy violated the rights of
  Canadians to ‚life, liberty and the security of the
  person‛, the Court did not come to a majority
  decision (3-3, with one abstention).
• Would have raised serious legal (and practical)
  questions about the CHA.
Post-Chaoulli Discourse
Patient ‘right’ to reasonable wait times
Harper’s Wait Times Strategy Announcement
   http://www.youtube.com/watch?v=JrePOsVHVgc
Solving the Wait Times
             Problem
• August 2005
  Wait Time Alliance release their final report ‚It’s
  About Time‛ that outlines medically acceptable
  wait times based on medical consensus and, where
  available, research evidence, for the 5 clinical focus
  areas (cancer therapy, heart surgery, diagnostic
  imaging, joint replacement and cataract surgery).
  .
Solving the Wait Times
           Problem
• Provinces Commit to Set Targets for Wait Time
  Benchmarks by 2007
  o Early on, different provinces focused on different clinical areas.
  o All would publicize benchmarks and wait times on provincial
    websites.
  o All would report on progress annually.


• In SK, people can visit Saskatchewan Surgical Care
  Network website to determine the wait time for
  their level of clinical priority.
  o E.g. Level 3 surgical patient (out of 6 levels) will know that the
    provincial target is to treat 90% of such patients within six weeks.
Solving the Wait Times
            Problem
• In ON, cardiac patients are assessed according to clinical
  guidelines and assigned a maximum recommended wait time of
  6 months, depending on seriousness of their condition.
   o Targets and Wait times to be found on the Cardiac Network Care of
     Ontario website.
   o In MB, median wait time for surgery was 2 weeks.

• For oncologist appointment, wait time benchmark in ON is 21
  days.
   o As of 2005, wait times ranged from 5 - 34 days, depending on the
     type of cancer. For 10 out of 12 types of cancer, wait times were
     within benchmarks. For lung cancer (24 d) and myeloma (34 d),
     wait times exceeded benchmarks.
Solving the Wait Times
         Problem

Prior to the agreed-upon
2005 Benchmarks, there was
a clear lack of nationwide
standards in reporting wait
times.
      e.g. cardiac surgery
The 2005 Benchmarks
Solving the Wait Times
            Problem
• Today, pan-Canadian standards for measuring waits and
  collecting data exist for all focus areas, except for diagnostic
  imaging where there are still informational gaps.
Solving the Wait Times
            Problem
• Today, pan-Canadian standards for measuring waits and
  collecting data exist for all focus areas, except for diagnostic
  imaging where there are still informational gaps.
   o Challenges
       • Many imaging facilities are outside of hospital facilities
       • Difficult to build consensus on medical urgency
Wait Times in Ontario
How has Ontario successfully managed to reduce
wait times in all clinical focus areas?
• Developing data measurement protocols in
  accordance with Wait Time Alliance specifications
• Reporting data and sharing results online
  Available at:
  http://www.health.gov.on.ca/en/public/programs/waittimes/default.aspx

  Promotes efficiency, transparency, accountability
Wait Times in Ontario
How has Ontario successfully managed to reduce wait times
in all clinical focus areas?
• Pay For Performance program
   In Ontario, this involves tying compensation to hospitals’ senior
    management to performance (‘Excellent Care for All Act’), which
    include setting aggressive goals to meet all Ontario Wait Times
    Strategy (OWTS) benchmarks.
   “Targets without incentives are not taken seriously”.
   UK research shows that pay-for-performance improve worst
    areas of performance most quickly.

• Pay 4 Performance video
  http://www.youtube.com/watch?v=Q8Wn22I32UQ
Wait Times in Ontario
Why pay hospital management to show up to
work, and then pay them a little more to do a good
job? (Shouldn’t they do this anyway?)
   ‚Targets without incentives are not taken seriously.‛
     - Alan Hudson, Lead on Ontario Wait Times Strategy
   UK research shows that pay-for-performance improve
    worst areas of performance most quickly, especially for
    low SES areas.
Wait Times in Ontario
Wait Times in Ontario
• To date, Ontario government has spent $1.5B on funding
  additional procedures, system redesign, reducing
  bottlenecks, tracking and publicly reporting on progress.
• The result:
Wait Times in Ontario
In 2008, Ontario decided to roll ‘emergency room (ER) wait
times’ into the Ontario Wait Times Strategy.
• As of 2010, Ontario hospitals are using CIHI’s Level 1 NACRS database
  to report on ER wait times.
• Covers about 90% of the population.
• Tracks time waiting in ER minus the time spent to register/triage a
  patient.
Wait Times in Ontario
Is pay-for-performance enough?
• Don Drummond’s Feb 2012 report suggests that the best
  strategy for reducing ER wait times is to bring FHTs under
  the LHINs
   o To standardize best practices and offer better quality primary care
     for complex cases (e.g. mental health, diabetes management, elder
     care, addictions)
   o To involve Family Health Teams in LHIN quality improvement plan
   o To identify costly patients and fast-track cost-effective interventions
     that connect them with community resources that meet their needs
Case Study
An 80-year-old woman lives alone, has diabetes,
arthritis, a colostomy from a previous bout with
bowel cancer and is a little forgetful. She has trouble
getting an appointment with her family physician as
the phone system is tiered and confusing (“press 1
for this, 3 for that”). Her daughter who lives far away
gets her an appointment when she visits. The mother
trips on a rug one evening and falls, breaking her
wrist. She cannot get up and is found the next day
by a neighbour and is taken to the ER.
Case Study
She gets a cast on her wrist, but feels unable to go
home alone. As a result, she is admitted after
spending 36 hours on a gurney in the ER. Due to a
mixture of pain medications, sleeplessness and
unfamiliarity, the patient gets confused and is
prescribed anti-psychotics. She then gets C. difficile
and is placed in isolation. The daughter is advised
that her mother needs a nursing home (LTC) bed.
Case Study
The daughter’s wish for her first choice of
an LTC home and the C. difficile, now complicated
by the patient calling out in the middle of the night,
result in the patient being on a waiting list for weeks.
Eventually the patient gets to the LTC home, where
the cancer returns. The patient is sent back to the
hospital, where she dies.
Wait Times in Ontario
What should the next area of focus be…
• Next-day primary care appointments, perhaps?




• Wait for LTC bed? Home care?
• Bariatric surgery? (skyrocketing demand)
How would you decide?
Have a great week!

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Week 7 - Medical Wait Times

  • 1. Policy Issues: Medical Wait Times HLTH 405 / Canadian Health Policy Winter 2012 School of Kinesiology and Health Studies Course Instructor: Alex Mayer, MPA
  • 2. Announcement • Don Drummond speaking at the Queen’s School of Policy Studies this Thursday o Rm. 102 at 12pm (noon). o Presentation on his recommendations to reform Ontario’s public services. o Good opportunity to ask tough questions!
  • 4. Topics for today’s lecture: Policy Issue #3: Medical Wait Times • Wait times as a policy problem • Canadian Wait Times in a Global Context • 2004 Health Accord: Wait Times Strategy • 2005: The Chaoulli case • Ontario’s progress: 2005-2011 • Remaining Challenges
  • 5. Wait Times • A mainstay of universal health care systems rationed based on medical need rather than ability to pay. o Ensures that public health care resources are being used to their full capacity (i.e. ‚efficiently‛) at all times. o Imposes a time cost that discourages people from accessing care for trivial reasons.
  • 6. Wait Times • Wait times can be measured for all health care access points, including… o Access to primary care o Access to hospital emergency room (ER) treatment o Access to surgical and imaging procedures o Alternative level of care (ALC) placement o Receipt of home care services
  • 7. Wait Times • Not problematic so long as… o Patients are appropriately triaged (i.e. patients with the most urgent care needs are seen immediately). o All patients are seen within time periods specified by clinical care guidelines, in order to prevent unnecessary suffering, complications and mortality. o Wait times meet the public’s (taxpayers’) reasonable expectations and do not undermine public confidence in the health care system.
  • 8. If medical wait times are a normal part of our system, why have they been the subject of so much attention?
  • 9. Wait Times • Not problematic so long as… o Patients are appropriately triaged (i.e. patients with the most urgent care needs are seen immediately). o All patients are seen within time periods specified by clinical care guidelines, in order to prevent unnecessary suffering, complications and mortality. o Wait times meet the public’s (taxpayers’) reasonable expectations and do not undermine public confidence in the health care system.
  • 10. Do Wait Times Worsen Health Outcomes? o Coronary artery bypass: • Between ‘91-’93, 0.4% (n=34) of Ontario patients died while in the queue. (Naylor et al, 1995) o Hip replacement: • Canadian patients experience higher wait times, hospital length of stay and mortality rates than U.S. patients. However, a competing risks hazards model shows that wait time is not significantly associated with mortality. (Carrier et al, 1993; Ho, Hamilton and Roos, 2000) o Cancer Surgery: • Only 2 of 6 studies registered a higher hazards ratios for PSA recurrence among prostate cancer patients experiencing delays ≥3 months in waiting for surgical treatment. (Saad et al, 2006)
  • 11. Wait Times • Not problematic so long as… o Patients are appropriately triaged (i.e. patients with the most urgent care needs are seen immediately). o All patients are seen within time periods specified by clinical care guidelines, in order to prevent unnecessary suffering, complications and mortality. o Wait times meet the public’s (taxpayers’) reasonable expectations and do not undermine public confidence in the health care system.
  • 12. Wait Times Problem: Access • In past decade, Canadians have consistently identified ‘wait times’ as the #1 barrier in accessing health services. o For laypeople, wait times are a tangible indicator of health care quality. o Canada’s global rankings in this regard easily becomes a flashpoint for public concern.
  • 13. Global Wait Times Comparison
  • 14. Global Wait Times Comparison
  • 15. Wait Times Problem: Access • Excessive wait times offer an effective line of attack for private interests that would benefit from the evolution of a parallel private-payer health care system in Canada. "Socialized Medicine" vs "Free Market Medicine" Video • Whether it’s the ‘grass is always greener’ appeal of two-tiered care, or the fear of losing what we have to government mismanagement (overspending, underinvestment, etc)  Wait times undermine public confidence in the system!
  • 16. Are Canadians Waiting Too Long? • For a patient, the answer is always yes. • Medically, however, a patient’s place in line is determined by the severity and urgency of his/her case. o Severity refers to suffering, functional limitations, and risk of premature death. o Urgency refers to the extent to which clinical treatment is required immediately to avoid complications or death, based on the natural history of the pathology.
  • 17. What the Media Sees US Anti-Medicare Ad http://www.youtube.com/watch?v=XwLp2KJCLOQ
  • 18. Fact-Checking the Shona Holmes Case “Time for a Reality Check on CNN’s ‘Reality Check’ by Julia Mason, The Ottawa Citizen … I found Holmes’ story both compelling and troubling. So I decided to check a little further. On the Mayo Clinic’s website, Shona Holmes is a success story. But it’s a somewhat different story than the headlines might have implied. Holmes’ “brain tumor” was actually a Rathke’s Cleft Cyst on her pituitary gland.” According to the John Wayne Cancer Centre: “Rathke’s Cleft Cysts are not true tumors or neoplasms; they are benign cysts.”
  • 20. Wait Times Problem: Access Conclusion: • Whether it’s the ‘grass is always greener’ appeal of two-tiered care, or the fear of losing what we have to government mismanagement (overspending, underinvestment, etc.) and declining quality…  Wait times undermine public confidence in the system!
  • 21.
  • 22. Solving the Wait Times Problem 2004 Health Accord
  • 23. Solving the Wait Times Problem • 2004 Health Accord: In response to public concern, First Ministers put wait times front and centre in the 2004 HA. o Provinces/Territories to come up with medically acceptable wait times (i.e. ‘benchmarks’) for certain key health services by 2005. o ‘Five in Five’ plan – provinces to receive additional funding ($5.5B Wait Time Reduction Fund) to target wait times for 5 key services in the next 5 years, and to achieve meaningful reductions by 2007. o Provinces commit to increase % of patients treated within recommended benchmark period for cancer therapy, heart surgery, diagnostic imaging, joint replacement and sight restoration.
  • 24. And Then a Curveball… The Chaoulli case
  • 25. The Chaoulli Case • 1996: Montreal businessman George Zeliotis waits 1 year for hip replacement surgery. While waiting, he asks to purchase private insurance to skip the queue. • When he learns this isn’t possible, he takes his case to court. • He is accompanied by Dr. Chaoulli, who had previously failed to establish a private hospital in Quebec that would charge for publicly insured services.
  • 26. The Chaoulli Case • The plaintiffs asked the Supreme Court of Canada to strike down sections of the Quebec Hospital Insurance Act barring citizens from purchasing private insurance for publicly financed services. • The Court agrees that wait times are ‚unreasonably long‛. • By a 4-3 decision, the Court rules to strike down the provincial policy (June 2005).
  • 27. The Chaoulli Case • Asked whether the policy violated the rights of Canadians to ‚life, liberty and the security of the person‛, the Court did not come to a majority decision (3-3, with one abstention). • Would have raised serious legal (and practical) questions about the CHA.
  • 28. Post-Chaoulli Discourse Patient ‘right’ to reasonable wait times Harper’s Wait Times Strategy Announcement http://www.youtube.com/watch?v=JrePOsVHVgc
  • 29. Solving the Wait Times Problem • August 2005 Wait Time Alliance release their final report ‚It’s About Time‛ that outlines medically acceptable wait times based on medical consensus and, where available, research evidence, for the 5 clinical focus areas (cancer therapy, heart surgery, diagnostic imaging, joint replacement and cataract surgery). .
  • 30. Solving the Wait Times Problem • Provinces Commit to Set Targets for Wait Time Benchmarks by 2007 o Early on, different provinces focused on different clinical areas. o All would publicize benchmarks and wait times on provincial websites. o All would report on progress annually. • In SK, people can visit Saskatchewan Surgical Care Network website to determine the wait time for their level of clinical priority. o E.g. Level 3 surgical patient (out of 6 levels) will know that the provincial target is to treat 90% of such patients within six weeks.
  • 31. Solving the Wait Times Problem • In ON, cardiac patients are assessed according to clinical guidelines and assigned a maximum recommended wait time of 6 months, depending on seriousness of their condition. o Targets and Wait times to be found on the Cardiac Network Care of Ontario website. o In MB, median wait time for surgery was 2 weeks. • For oncologist appointment, wait time benchmark in ON is 21 days. o As of 2005, wait times ranged from 5 - 34 days, depending on the type of cancer. For 10 out of 12 types of cancer, wait times were within benchmarks. For lung cancer (24 d) and myeloma (34 d), wait times exceeded benchmarks.
  • 32. Solving the Wait Times Problem Prior to the agreed-upon 2005 Benchmarks, there was a clear lack of nationwide standards in reporting wait times. e.g. cardiac surgery
  • 34. Solving the Wait Times Problem • Today, pan-Canadian standards for measuring waits and collecting data exist for all focus areas, except for diagnostic imaging where there are still informational gaps.
  • 35. Solving the Wait Times Problem • Today, pan-Canadian standards for measuring waits and collecting data exist for all focus areas, except for diagnostic imaging where there are still informational gaps. o Challenges • Many imaging facilities are outside of hospital facilities • Difficult to build consensus on medical urgency
  • 36.
  • 37.
  • 38. Wait Times in Ontario How has Ontario successfully managed to reduce wait times in all clinical focus areas? • Developing data measurement protocols in accordance with Wait Time Alliance specifications • Reporting data and sharing results online Available at: http://www.health.gov.on.ca/en/public/programs/waittimes/default.aspx Promotes efficiency, transparency, accountability
  • 39.
  • 40. Wait Times in Ontario How has Ontario successfully managed to reduce wait times in all clinical focus areas? • Pay For Performance program  In Ontario, this involves tying compensation to hospitals’ senior management to performance (‘Excellent Care for All Act’), which include setting aggressive goals to meet all Ontario Wait Times Strategy (OWTS) benchmarks.  “Targets without incentives are not taken seriously”.  UK research shows that pay-for-performance improve worst areas of performance most quickly. • Pay 4 Performance video http://www.youtube.com/watch?v=Q8Wn22I32UQ
  • 41. Wait Times in Ontario Why pay hospital management to show up to work, and then pay them a little more to do a good job? (Shouldn’t they do this anyway?)  ‚Targets without incentives are not taken seriously.‛ - Alan Hudson, Lead on Ontario Wait Times Strategy  UK research shows that pay-for-performance improve worst areas of performance most quickly, especially for low SES areas.
  • 42. Wait Times in Ontario
  • 43. Wait Times in Ontario • To date, Ontario government has spent $1.5B on funding additional procedures, system redesign, reducing bottlenecks, tracking and publicly reporting on progress. • The result:
  • 44. Wait Times in Ontario In 2008, Ontario decided to roll ‘emergency room (ER) wait times’ into the Ontario Wait Times Strategy. • As of 2010, Ontario hospitals are using CIHI’s Level 1 NACRS database to report on ER wait times. • Covers about 90% of the population. • Tracks time waiting in ER minus the time spent to register/triage a patient.
  • 45.
  • 46. Wait Times in Ontario Is pay-for-performance enough? • Don Drummond’s Feb 2012 report suggests that the best strategy for reducing ER wait times is to bring FHTs under the LHINs o To standardize best practices and offer better quality primary care for complex cases (e.g. mental health, diabetes management, elder care, addictions) o To involve Family Health Teams in LHIN quality improvement plan o To identify costly patients and fast-track cost-effective interventions that connect them with community resources that meet their needs
  • 47. Case Study An 80-year-old woman lives alone, has diabetes, arthritis, a colostomy from a previous bout with bowel cancer and is a little forgetful. She has trouble getting an appointment with her family physician as the phone system is tiered and confusing (“press 1 for this, 3 for that”). Her daughter who lives far away gets her an appointment when she visits. The mother trips on a rug one evening and falls, breaking her wrist. She cannot get up and is found the next day by a neighbour and is taken to the ER.
  • 48. Case Study She gets a cast on her wrist, but feels unable to go home alone. As a result, she is admitted after spending 36 hours on a gurney in the ER. Due to a mixture of pain medications, sleeplessness and unfamiliarity, the patient gets confused and is prescribed anti-psychotics. She then gets C. difficile and is placed in isolation. The daughter is advised that her mother needs a nursing home (LTC) bed.
  • 49. Case Study The daughter’s wish for her first choice of an LTC home and the C. difficile, now complicated by the patient calling out in the middle of the night, result in the patient being on a waiting list for weeks. Eventually the patient gets to the LTC home, where the cancer returns. The patient is sent back to the hospital, where she dies.
  • 50. Wait Times in Ontario What should the next area of focus be… • Next-day primary care appointments, perhaps? • Wait for LTC bed? Home care? • Bariatric surgery? (skyrocketing demand)
  • 51. How would you decide?
  • 52. Have a great week!

Notas del editor

  1. GIAG
  2. IMPLICATIONS?
  3. “Benchmark”: Medically acceptable wait time, given the severity (stage) and type of illness.“Target”: % of people treated in that specific period of time.
  4. -Today, 8 out 10Cdns are receiving care within benchmarks for focus areasStll room for improvement in knee/hip procedures90% is the ‘realistic’ target; deaths, complications, patients choosing to delay elective procedures for # of reasons, all factors that inflate wait time figures
  5. Average wait time at the 90th percentile