Research article
Mapping as a knowledge translation tool for Ontario Early Years Centres: views from data analysts and managers
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* Corresponding author: Anita Kothari akothari@uwo.ca
1 Faculty of Health Sciences, University of Western Ontario, Arthur & Sonia Labatt Health Sciences Building, Room 222, N6A 5B9, London, Ontario, Canada
2 Department of Community Health Sciences, University of Manitoba, S113-750 Bannatyne Ave, R3E 0W3, Winnipeg, Manitoba, Canada
3 Department of Biosystems Engineering, University of Manitoba, E2-376 Engineering Building, University of Manitoba, R3T 5V6, Winnipeg, Manitoba, Canada
4 Laboratory for Applied Geomatics and GIS Science (LAGGISS), Department of Geography, University of Ottawa, K1N 6N5, Ottawa, Ontario, Canada
5 School of Nursing and Dept of Epidemiology & Community Medicine, University of Ottawa – 451 Smyth Road, K1H 8M5, Affiliate Scientist, Clinical Epidemiology Program, Ottawa Health Research Institute, VP Knowledge Translation, Canadian Institutes of Health Research, Ottawa, Ontario, Canada
6 Department of Geography, University of Ottawa, K1N 6N5, Ottawa, Ontario, Canada
Implementation Science 2008, 3:4 doi:10.1186/1748-5908-3-4
Published: 18 January 2008Abstract
Background
Local Ontario Early Years Centres (OEYCs) collect timely and relevant local data, but knowledge translation is needed for the data to be useful. Maps represent an ideal tool to interpret local data. While geographic information system (GIS) technology is available, it is less clear what users require from this technology for evidence-informed program planning. We highlight initial challenges and opportunities encountered in implementing a mapping innovation (software and managerial decision-support) as a knowledge translation strategy.
Methods
Using focus groups, individual interviews and interactive software development events, we taped and transcribed verbatim our interactions with nine OEYCs in Ontario, Canada. Research participants were composed of data analysts and their managers. Deductive analysis of the data was based on the Ottawa Model of Research Use, focusing on the innovation (the mapping tool and maps), the potential adopters, and the environment.
Results
Challenges associated with the innovation included preconceived perceptions of a steep learning curve with GIS software. Challenges related to the potential adopters included conflicting ideas about tool integration into the organization and difficulty with map interpretation. Lack of funds, lack of availability of accurate data, and unrealistic reporting requirements represent environmental challenges.
Conclusion
Despite the clear need for mapping software and maps, there remain several challenges to their effective implementation. Some can be modified, while other challenges might require attention at the systemic level. Future research is needed to identify barriers and facilitators related to using mapping software and maps for decision-making by other users, and to subsequently develop mapping best practices guidelines to assist community-based agencies in circumventing some challenges, and support information equity across a region.