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Better Data and Innovative Research Methodologies: Tools for Better Global Health

Better Data and Innovative Research Methodologies: Tools for Better Global Health. Mary Crea-Arsenio, MSc . Andrea Baumann, RN PhD Mabel Hunsberger, RN PhD. Presented at 10th Conference of the Global Network of WHO Collaborating Centres for Nursing and Midwifery Coimbra, Portugal

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Better Data and Innovative Research Methodologies: Tools for Better Global Health

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  1. Better Data and Innovative Research Methodologies: Tools for Better Global Health • Mary Crea-Arsenio, MSc. • Andrea Baumann, RN PhD • Mabel Hunsberger, RN PhD Presented at 10th Conference of the Global Network of WHO Collaborating Centres for Nursing and Midwifery Coimbra, Portugal July 23-25, 2014

  2. Outline • Types of databases • Why databases are important • Innovative methods in Canada • How to develop a database • Conclusions • Questions

  3. What is a database? • A collection of data • A method to store and manage large sets of data • A tool to transform information to knowledge • Two types: primary and secondary

  4. Primary Databases • Result from individual research projects • Include many variables and/or themes • Can be used by other investigators to ask different questions

  5. Secondary Databases • Housed at the provincial,national and international level • Include data from a variety of databases • Agreement on general indicators* *standardized measures by which to compare health status and health system performance and characteristics among different jurisdictions in Canada…through quality comparative information. Source: Canadian Institute for Health Information (CIHI). (2012). Health Indicators Interactive

  6. Why are databases important? • Support government decision-making • Provide evidence of workforce trends • Used to develop and evaluate policy

  7. Innovative Methods in Canada • Large databases: • Population based databases • Health Professions databases • Accessible and available • Open data: • exchange of information across jurisdictions

  8. Provincial Databases • Ministry of Health and Long-Term Care • Health Professions Database (HPDB) • College of Nurses of Ontario (CNO) • Provincial nursing regulatory database

  9. CNO Registration Database • Annual mandatory census (total population of nurses in Ontario). • New graduates included as new members. • Uploaded to provincial and national databases

  10. National Databases • Canadian Institute for Health Information • Health Personnel Database (HPD) 27 health professional groups • Registered Nurses Database (RNDB) • Statistics Canada (Census) • Canadian Association of Schools of Nursing and Canadian Nurses Association

  11. Developing a Primary Database Objective: Develop a longitudinal database of new graduate nurse employment in the province of Ontario. Methods: Longitudinal design. New graduate nurses surveyed annually over seven years. Data Validation: Survey data validated against CNO new members data.

  12. Type of Data Collected • Demographic data: • Age, sex, employment status, type of employer, position in nursing, primary area of practice, and practice location (geographic region). • Preferences data: • employment status • sector of employment • geographical location (urban/rural)

  13. Features of Database • Data is collected over time to enhance health human resource (HHR) planning • Data can be analyzed independently or linked to larger databases (CNO) • Database used to provide information to governments for development of policy

  14. Conclusions • Different types of data exist • Need for data is increasing • Linking of databases valuable for decision-makers

  15. Contact Information Andrea Baumann, PhD Scientific Director Nursing Health Services Research Unit McMaster University Michael DeGroote Centre for Learning MDCL 3500 (905) 525-9140 ext. 22581 baumanna@mcmaster.ca

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