How to Submit a Question

Is there is an important health or health care policy question that you believe can be answered by analyzing data, such as anonymized patient records, that already exist? Submit it here and it could be included in among the Challenge Questions of the Data Impact Challenge II. In the first challenge, 26 organizations submitted 41 answers to the Challenge questions. Your question could receive answers from all over Canada, providing useful evidence and increasing visibility of the issue. (To see the organizations and responses from the previous Data Impact Challenge, click here).

Qualifying questions submitted before November 30 at 3 p.m. ET will be put forward for public voting. All Canadians will have the opportunity to vote for the questions they most want answered.

To submit a challenge question you will need to provide the following:

    1. Issue: Identify the health or health care issue you are interested in. This is the “problem” that answers to your question will help solve. It must relate to a health of health care issue in Canada and be able to be resolved using Canadian data. Please pose it in in the form of a question.
      • EXAMPLE: “Are seniors being inappropriately prescribed anti-psychotic drugs?”
    1. Rationale Describe the rationale and importance of answering the question. Why is it important to address this policy issue? What might come out of knowing more about it?
      • EXAMPLE: Inappropriate prescribing can lead to complications, side effects, and wasted resources. Knowing the rate of prescribing of antipsychotics will indicate whether there is a problem, generate dialogue among clinicians and determine whether policymakers need to create interventions to reduce inappropriate antipsychotic prescribing.
    1. Metric(s): Describe the specific metric or metrics which would inform the answer to the question. This could be a proportion, rate, ratio, etc.
      NOTE: Keep in mind that the short duration of the Challenge means teams will not be able to collect new data or run experiments, so the measures must be attained through existing data sets, such as those held by health care providers such as hospitals, statistics agencies such as Statistics Canada, government organizations or others.
      • EXAMPLE: What portion of seniors (65+) with a diagnosis of dementia have been prescribed antipsychotics as treatment for behavioural and psychological symptoms?
  1. Guidelines: If you are able to, set specific parameters around how the question should be answered. You could indicate the numerator and denominator for the statistic you think should be used, and/or the sample size and time period that would make the analysis relevant.
    • EXAMPLE 1: The answer should include the numerator of the number of seniors prescribed anti-psychotics to treat behavioural and psychological symptoms of dementia, and the denominator of the total number of seniors with a diagnosis of dementia.
    • EXAMPLE 2: The minimum sample size of an effective analysis would be 10,000
    • EXAMPLE 3: The minimum timeframe of the data should be one year of continuous data.