Frequently Asked Questions

I’m facing a long wait to see a specialist, what can I do about it?

While the Wait Time Alliance is unable to affect individual cases, patients can be their own greatest advocate. We encourage patients to be informed; review the Wait Time Alliance benchmarks, know what a medically acceptable wait for the treatment or procedure you require is, and advocate.

Contact your MP

Contact your MPP/MLA:
Alberta
British Columbia
Manitoba
New Brunswick
Newfoundland and Labrador
Northwest Territories
Nova Scotia
Nunavut
Ontario
Prince Edward Island
Québec
Saskatchewan
Yukon

Contact your provincial/territorial Ombudsperson*:
British Columbia
Manitoba
New Brunswick
Newfoundland and Labrador
Nova Scotia
Québec
Saskatchewan
Yukon

*Ombudspersons in Alberta and Ontario do not currently have legislative authority to investigate health care complaints. However, as of March 6, 2014, Ontario has introduced legislation to establish a Patient Ombudsman.

**Prince Edward Island, Northwest Territories, and Nunavut do not have provincial/territorial ombudspersons.

How is my provincial/territorial government addressing long wait times?

Information about specific provincial and territorial initiatives can be found on their respective wait time websites. For links to a specific provincial or territorial site, please refer to this list.

General Information on Wait Times

What causes wait times?

There are many factors that contribute to wait times, including: growing demand for care and inadequate supply of services. Increased demand can occur due to factors like: changing demographics (e.g., growing seniors’ population or a growing community of young families), or the availability of new technologies. Once wait times are reduced, more patients might be referred to a treatment now that it is more readily available. For some services, while wait times have not improved, the number of patients treated has increased.

Supply issues that can contribute to wait times include: a lack of doctors, nurses and technicians; a lack of operating room time; a lack of non-medical services to support patients following surgical care (e.g., support for the patient to be cared for in their home); and a lack of alternative services that would be more appropriate for the patient (e.g., housing and social supports or providing care closer to patients to prevent inappropriate emergency department visits).

How are wait times measured?

Efforts have been made by provinces to standardize how waits are calculated in Canada but there remain some differences in how the wait is calculated (e.g., when the physician submits the request for surgery vs. when the hospital identifies a booking date for the surgery can be different).

Most of the wait times measured in Canada and elsewhere have focused on the wait for surgery; that is, the wait from when a patient and their physician decide treatment is necessary to the start of treatment. However, there can also be waits to see a family physician, waits for diagnostic testing, as well as a wait for a specialist consultation once referred. Adding up all of these points of waiting can lead to a long wait for the patient and that is why wait-time strategies are required across the patient’s journey.

Are health care waits the same across Canada?

No. Variation in wait times is a common problem across Canada and is due to many complex factors.

Part of this is due to the fact that there is no standard way of managing wait times across the country. Canada is made up of 13 separate health care systems, each with their own funding and operational models. And even within these systems each health region, hospital and physician’s office faces a different reality (funding, demand for services, etc.) and employs different approaches to managing wait times. In areas where wait times are lower, there could be a number of factors at play, including: use of wait time management tools (e.g., pooling referrals where patients are put on a general waiting list and sent to the next available physician); effective use of operating room time and hospital beds; or, the availability of community supports like adequate home care services and residential care facilities which reduce the number of ALC patients and free up hospital beds. However, this list is not exhaustive and there could be many other regionally-specific factors at play.

It is also important to note that not all provinces report on wait times in the same way. A key step in addressing wait time variation is to have comparable data available on wait times by community level.

How does Canada compare to other Organisation for Economic Co-operation and Development (OECD) member countries?

Generally, Canada fares poorer on timely access to care for patients compared to most other leading industrialized countries that are largely publicly funded. For more information, refer to the OECD report: “Waiting Time Policies in the Health Sector – What Works?”

Can more funding improve health care wait times?

While some funding is necessary to address existing backlog in the system, the real issue is not funding itself. Rather, wait times will be improved when we have a better understanding what existing funds buy the health care system. Often times waste in the system is the result of it running sub-optimally; adopting operations research such as queuing theory could improve processes.

In order to improve the health of the population, improve the patient’s health care experience and to increase the value for money spent on our health care system, we believe that the system needs to be transformed.

Patients, physicians and all health care providers need to work together in the decision-making process. This would lead to better health public policy decisions.

What are Patient Wait Time Guarantees?

In the spring of 2007, the Federal Government offered provinces and territories additional funding to address wait times (up to $612 million). This funding was contingent on the jurisdictions publicly committing to establishing a Patient Wait Times Guarantee for at least one treatment, procedure, or diagnosis identified as part of the 2004 Health Accord (cancer care, cardiac care, joint replacement, diagnostic imaging and sight restoration). These guarantees consisted of two components: a defined time frame and access to alternate options of care if waits exceeded the defined time frame.

What does Alternate-Level-of-Care (ALC) mean?

While there is no universal definition, alternate-level-of-care (often referred to as simply ALC) generally refers to patients who continue to occupy an acute care hospital bed after the acute phase of their inpatient stay is complete (reference: CIHI 2009-10 DAD Abstracting Manual). ALC patients are well enough to be cared for elsewhere depending on their situation.

ALC patients have an impact on access to acute care beds, which are in short supply and are required for patients admitted through the emergency department or operating room. On average, one ALC patient in the emergency department denies access to four non-ALC patients per hour. Scheduled surgeries are also affected by high rates of alternate-levels-of-care stays—a lack of available beds for postoperative patients may result in many last-minute cancellations of scheduled surgeries, adding to even longer wait times for patients.

In 2008-2009, ALC patients accounted for more than 92,000 hospitalizations (approximately 5% of all hospitalizations) and over 2.4 million hospital days in Canada in 2008-2009. The cost of caring for these patients in a hospital is much more expensive than in a more appropriate setting (e.g., in the home with proper supports, or in a residential facility).

Wait Time Benchmarks

What is a medically acceptable wait time benchmark?

Benchmarks are the maximum amounts of time that a patient should wait for specific treatments, tests, or procedures; beyond that, evidence shows that waiting will likely have adverse effects on a patient’s health. You can think of benchmarks as performance goals for Canada’s health care system—if our system is running well, Canadians should be treated within the time indicated.

How are medically acceptable wait time benchmarks created?

Wait Time Alliance benchmarks are created by medical specialty societies using the best available evidence and clinical consensus. In many cases they refer to a maximum acceptable wait time for a procedure, treatment, or diagnosis. As such, they should not be viewed as standards or ideal wait times. Also, the benchmarks are subject to change as new evidence comes forward and as technology and population health needs change.

Do Wait Time Alliance and Provincial/Territorial Governments agree on benchmarks?

In some areas, Provincial and Territorial benchmarks are less demanding than the Wait Time Alliance’s benchmarks. For example, governments say that a cancer patient who needs radiation therapy should be treated within 28 days, while the Wait Time Alliance thinks these patients need this care within 14 days. The Wait Time Alliance bases its benchmarks on the broad consensus of physicians on medically reasonable wait times for health services delivered to patients.

Wait Time Alliance Report Cards

Why are not all treatments/procedures included in report cards?

Why are not all treatments/procedures included in report cards?
While recognizing that all procedures and treatments are important, Wait Time Alliance members are asked each year to select treatments to be highlighted in the Wait Time Alliance report card based on the following criteria:

  • A treatment that has the highest volume and or greatest return on investment.
  • A treatment whose wait time could be significantly reduced with a simple and direct capacity increase of some piece of technology or personnel.
  • All benchmarks developed by the Wait Time Alliance can be viewed here.

How do you determine the grades assigned in each report card?

Using information provided on the official provincial government web sites, the Wait Time Alliance assigns grades to provincial performance as follows:

A+: 90-100% of population treated within benchmark
A: 80-89% of population treated within benchmark
B: 70-79% of population treated within benchmark
C:60-69% of population treated within benchmark
D: 50-59% of population treated within benchmark
F: Less than 50% of population treated within benchmark