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      Using Concept Mapping to Develop a Strategy for Self-Management Support for Underserved Populations Living With Chronic Conditions, British Columbia, August 2013–June 2014

      research-article
      , PhD , , PhD, , MHSc
      Preventing Chronic Disease
      Centers for Disease Control and Prevention

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          Abstract

          Introduction

          Self-management support (SMS) is an essential component of public health approaches to chronic conditions. Given increasing concerns about health equity, the needs of diverse populations must be considered. This study examined potential solutions for addressing the gaps in self-management support initiatives for underserved populations.

          Methods

          Stakeholders representing government, nongovernment organizations, Aboriginal communities, health authorities, medical practices, and research institutions generated, sorted, and rated ideas on what could be done to improve self-management support for underserved populations. Concept mapping was used to facilitate the collection and organization of the data and to generate conceptual maps.

          Results

          Participants generated 92 ideas that were sorted into 11 clusters (foster partnerships, promote integrated community care, enhance health care provider training, shift government policy, support community development, increase community education, enable client engagement, incorporate client support systems, recognize client capacity, tailor self-management support programs, and develop client skills, training, and tools) and grouped into system, community, and individual levels within a partnership framework.

          Conclusion

          The strategy can stimulate public health dialogue and be a roadmap for developing SMS initiatives. It has the potential to address SMS and chronic condition inequities in underserved populations in several ways: 1) by targeting populations that have greater inequities, 2) by advocating for shifts in government policies that create and perpetuate inequities, 3) by promoting partnerships that may increase the number of SMS initiatives for underserved groups, and 4) by promoting training and engagement that increase the relevance, uptake, and overall effectiveness of SMS.

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          Most cited references13

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          Quality and rigor of the concept mapping methodology: a pooled study analysis.

          The use of concept mapping in research and evaluation has expanded dramatically over the past 20 years. Researchers in academic, organizational, and community-based settings have applied concept mapping successfully without the benefit of systematic analyses across studies to identify the features of a methodologically sound study. Quantitative characteristics and estimates of quality and rigor that may guide for future studies are lacking. To address this gap, we conducted a pooled analysis of 69 concept mapping studies to describe characteristics across study phases, generate specific indicators of validity and reliability, and examine the relationship between select study characteristics and quality indicators. Individual study characteristics and estimates were pooled and quantitatively summarized, describing the distribution, variation and parameters for each. In addition, variation in the concept mapping data collection in relation to characteristics and estimates was examined. Overall, results suggest concept mapping yields strong internal representational validity and very strong sorting and rating reliability estimates. Validity and reliability were consistently high despite variation in participation and task completion percentages across data collection modes. The implications of these findings as a practical reference to assess the quality and rigor for future concept mapping studies are discussed. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            Concept Mapping as an Alternative Approach for the Analysis of Open-Ended Survey Responses

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              An introduction to concept mapping as a participatory public health research method.

              In this article, the authors introduce concept mapping as a useful participatory research method for public health researchers interested in generating hypotheses and developing theory. The authors first provide an overview of concept mapping, which combines qualitative approaches with quantitative analytical tools to produce visual displays of the relationship between ideas. Then, they present an illustrative research application of the method to the exploration of women's perceptions of the relationship between residential neighborhood factors and intimate partner violence experiences. They give attention to the data collection and analysis procedures and to demonstrating the intricacies of using concept mapping for public health research purposes. Finally, the article concludes with a discussion of the unique contributions and challenges associated with concept mapping.
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                Author and article information

                Journal
                Prev Chronic Dis
                Prev Chronic Dis
                PCD
                Preventing Chronic Disease
                Centers for Disease Control and Prevention
                1545-1151
                2015
                08 October 2015
                : 12
                : E173
                Affiliations
                [1]Author Affiliations: Kim Bergeron, School of Kinesiology and Health Studies, Queen’s University, Kingston, Ontario; Guillermina Pérez, School of Population and Public Health, University of British Columbia, Vancouver, British Columbia.
                Author notes
                Corresponding Author : Susan L. Mills, PhD, School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, BC V6T 1Z8. Telephone: 604-827-3522. Email: sue.mills@ 123456ubc.ca .
                Article
                15_0183
                10.5888/pcd12.150183
                4599068
                26447550
                f74290be-2618-42fc-963f-8d1993e8c2ef
                History
                Categories
                Original Research
                Peer Reviewed

                Health & Social care
                Health & Social care

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