Health Data

Using data that is collected from patient visits is a fairly new area of research, but one that is growing very quickly. Being able to access data that is already available on hand can be very valuable to our research teams.

Research Projects

  1. Evaluating the psychometric properties of the parent-rated Strengths and Difficulties Questionnaire in a nationally representative sample of Canadian children and adolescents aged 6 to 17 years


    The original five-factor, parent-rated SDQ demonstrates evidence of factorial validity and reliability as a population measure of mental health difficulties among Canadian children and adolescents.

  2. Practical Synthetic Data Generation


    Data scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will see how synthetic data can help accelerate time to a product or solution.

  3. Building an Anonymization Pipeline


    How can you use data in a way that protects individual privacy but still provides useful and meaningful analytics? With this practical book, data architects and engineers will learn how to establish and integrate secure, repeatable anonymization processes into their data flows and analytics in a sustainable manner.

  4. Racial differences in contribution of prepregnancy obesity and excessive gestational weight gain to large-for-gestational-age neonates


    Excessive gestational weight gain contributed more to LGA neonates than prepregnancy obesity in Whites and Asians, while there was no difference between excessive gestational weight gain and prepregnancy obesity in their contributions to the LGA neonates in Blacks. The differences are mostly driven by the differential prevalence of the two risk factors across racial groups.

  5. Barriers and Facilitators of Pediatric Shared Decision-Making: A Systematic Review


    Our findings can be used to identify potential pediatric SDM barriers and facilitators, guide context-specific barrier and facilitator assessments, and inform interventions for implementing SDM in pediatric practice.

  6. Increasing Incidence and Prevalence of Pathologic Hemoglobinopathies Among Children in Ontario, Canada from 1991-2013


    Through an innovative approach using provincial health administrative, immigration and demographic data, this study identified a rising incidence and prevalence of hemoglobinopathies among Ontario children <18 years of age between April 1, 1991 and March 31, 2013, potentially due to increased immigration rates.

  7. The reporting of studies conducted using observational routinely collected health data statement for pharmacoepidemiology (RECORD-PE)


    We anticipate that increasing use of the RECORD-PE guidelines by researchers and endorsement and adherence by journal editors will improve the standards of reporting of pharmacoepidemiological research undertaken using routinely collected data. This improved transparency will benefit the research community, patient care, and ultimately improve public health.

  8. A Pragmatic Method for Identification of Long-Stay Patients in the PICU


    We present a pragmatic method for the retrospective identification of LSPs in the PICU that incorporates unit- and/or patient-specific characteristics. The next steps would be to validate this method using other patient and/or unit characteristics in different PICUs and over time.

  9. Defining and identifying concepts of medication literacy: an international perspective


    Future studies should focus on how this definition can be operationalized to support the role that pharmacists and other healthcare providers.

  10. A unified framework for evaluating the risk of re-identification of text de-identification tools


    Our framework attempts to correct for poorly distributed evaluation corpora, accounts for the data release context, and avoids the often optimistic assumptions that are made using the more traditional evaluation approach. It therefore provides a more realistic estimate of the true probability of re-identification.

  11. Anonymising and sharing individual patient data


    The expected benefits from sharing individual patient data for health research purposes include: it ensures accountability in results and that reported study results are valid, it allows researchers to build on the work of others more efficiently and to perform individual patient data meta-analyses to summarise evidence, and it decreases the burden on research subjects through the reuse of existing data.

  12. Complex care for kids Ontario: protocol for a mixed-methods randomised controlled trial of a population-level care coordination initiative for children with medical complexity

    Our primary objective is to evaluate the CCKO intervention using a randomised waitlist control design. The waitlist approach involves rolling out an intervention over time, whereby all participants are randomised into two groups (A and B) to receive the intervention at different time points determined at random.


  1. Khaled El Emam

    Senior Scientist, CHEO Research Institute Professor, Faculty of Medicine, University of Ottawa

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  2. Deshayne Fell

    Scientist, CHEO Research Institute

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  3. Gary Goldfield

    Senior Scientist, CHEO Research Institute

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  4. Yanfang Guo

    Investigator, CHEO Research Institute

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  5. Robert Klaassen

    Investigator, CHEO Research Institute

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  6. Margaret Lawson

    Senior Scientist, CHEO Research Institute

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  7. Nathalie Major

    Investigator, CHEO Research Institute

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  8. Kusum Menon

    Senior Scientist, CHEO Research Institute

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  9. Ewurabena Simpson

    Investigator, CHEO Research Institute

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  10. Régis Vaillancourt

    Investigator, CHEO Research Institute

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