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Time from First Systemic Treatment to Autologous Transplant – Multiple Myeloma – Methodology

Time from First Systemic Treatment to Autologous Transplant – Multiple Myeloma – Methodology
Short description of Indicator For multiple myeloma patients, number of days from first systemic treatment to autologous transplant.
Rationale for measurement Wait times are reported for many cancer services (e.g., time to treatment) and can be an indicator of access. This time to transplant indicator illustrates the timeliness of access to stem cell transplant services in Ontario for people with multiple myeloma.
Evidence/references for rationale There is no published information on the optimal wait times for stem cell transplant. Unnecessary delays may impact the success of the procedure and outcome for the patient. Understanding how long patients are waiting for transplant can help provincial planning efforts.
Calculations for the indicator Median, interquartile range, 10th and 90th percentile days from the date of first systemic treatment to the date of transplant for all people with multiple myeloma who received an autologous stem cell transplant.
  • For calendar years 2014 to 2018 (multiple myeloma transplants) Analysis:
  • The Specialized Services Oversight Information System (SSOIS) was used to identify transplants in calendar years 2014 to 2018 in Ontario.
  • The SSOIS was used to identify the date of first systemic treatment.
  • The Registered Persons Database (RPDB) was used to assign age at transplant

. Cases were excluded if the patient did not have a valid health insurance number.

Standardized Rate Calculation N/A
Unit N/A
Data sources
  • Specialized Services Oversight Information System, Ontario Health (Cancer Care Ontario)
  • Registered Persons Database, Ministry of Health
Time Frame 2014 to 2018
Geographic Scale Provincial
Denominator description N/A
Numerator description N/A
Considerations  N/A
Data availability & limitations The time to transplant depends on complete and accurate reporting of systemic treatment data and transplant data in SSOIS, and relies on the correct identification of cases (also in SSOIS). This data source is considered to be of high quality and accuracy.