Mapping as a knowledge translation tool for Ontario Early Years Centres: views from data analysts and managers

Anita Kothari,Michael Sawada,Ian D Graham,S Michelle Driedger,Eric Crighton,Jason Morrison,Julia Bickford

doi:10.1186/1748-5908-3-4

Abstract

BackgroundLocal 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.MethodsUsing 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.ResultsChallenges 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.ConclusionDespite 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.

Highlights

Community-based child health agencies may be rich in timely, context-specific data, while at the same time face significant hurdles in translating their raw data into meaningful evidence for informed decision-making
This paper presents findings from the first phase of a two-phase qualitative study with ten Ontario Early Years Centres' (OEYCs) child data analysts and eight OEYC managers in Southwestern Ontario, Canada
Phase I of this project is based on the theoretical underpinnings of ethnography, in which we explored the cultural context of the Data Analyst Coordinators (DACs) [810]

Summary

Introduction

Community-based child health agencies may be rich in timely, context-specific data, while at the same time face significant hurdles in translating their raw data into meaningful evidence for informed decision-making. The use of maps and mapping is increasingly recognized as a key knowledge translation tool to assist in the transformation of local data for decision-making [1]. The World Health Organization states that "mapping of events facilitates epidemiological analysis but is effective for advocacy, informing the pubic and generating action by decision-makers" [2]. Mapping offers a visual representation of data. Maps represent an ideal tool to interpret local data. We highlight initial challenges and opportunities encountered in implementing a mapping innovation (software and managerial decision-support) as a knowledge translation strategy

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