Related Resources

GHKC M&E Guide Resources

Data Collection Methods for Knowledge Management:  This table introduces users to a variety of data collection methods that can be considered for knowledge management. Each method includes a short definition and additional information about key strengths and weaknesses, as well as a relative cost to administer the method.   

PDF icon GHKC M&E Guide Data Collection Methods_November 2017.pdf

References: This document includes a list of source materials that are used or consulted in the preparation of a work or that are referred to in the text for the 2013 Guide to Monitoring and Evaluating Knowledge Management in Global Health Programs and/or the KM Indicator Library. (Forthcoming)

Adaptive Practice Rapid Literature Scan: This document summarizes a rapid literature scan for adaptive management conducted in 2016. The rapid scan includes resources available in the public domain about adaptive management theory and practice, information about current initiatives and agencies that are using adaptive practices, and any available monitoring and evaluation frameworks. (Forthcoming)      

Websites

M&E Guide Case Examples: The Global Health Knowledge Collaborative (GHKC) Case Example Series provides insights from different agencies using the Guide to Monitoring and Evaluating Knowledge Management in Global Health Programs to demonstrate the added value of knowledge management (KM) to health and development programs.

Global Health Knowledge Collaborative (GHKC): This community of practice was formed in 2010 by a group of knowledge management (KM) professionals working in global health and development. It serves as a platform for members to share ideas, synthesize knowledge, and innovate; collaborates on KM approaches; collects case studies documenting experiences with KM in global health; promotes the use of KM-related products and services; and advocates for the importance of KM for organizations and projects.

Knowledge Management for Health and Development Toolkit: This toolkit was developed by the K4Health project in partnership with the Global Health Knowledge Collaborative and provides practical knowledge management models, tools, case studies, professional development resources, technologies, and other information resources for use and adaptation by those working in international public health and development.

Articles

Sullivan, T. M., Limaye, R. J., Mitchell, V., D’Adamo, M., & Baquet, Z. (2015). Leveraging the power of knowledge management to transform global health and development. Global Health: Science and Practice, 3(2), 150-162.

The purpose of this article is to demystify KM and advocate its increased use in global health and development projects. The authors describe knowledge, define KM, and highlight some KM tools. The article includes the history of KM as used in the private sector and in health and development and a case study from Bangladesh how KM can be used to support health and development outcomes.

Ohkubo, S., Harlan, S. V., Ahmed, N., & Salem, R. M. (2015). Conceptualising a New Knowledge Management Logic Model for Global Health: A Case-Study Approach. Journal of Information & Knowledge Management, 14(02), 1550015. (Get free pre-print version)

This article presents the key elements of the Knowledge Management for Global Health (KM4GH) Logic Model. The authors test the validity of this model through three case studies of global and field-level health initiatives.The case studies demonstrate the flexibility of the KM4GH Logic Model in designing various KM activities while defining a common set of metrics to measure their outcomes, providing global health organizations with a tool to select the most appropriate KM activities to meet specific knowledge needs of an audience.  

 

Ortiz-Echevarria, L., Mouanga, M., Holtz, S., & Frenchu, K. (2017). Evaluating Technical Exchange Networks at Management Sciences for Health. Knowledge Management for Development Journal, 13(3): 132-148. 

This paper​ highlights an exploratory assessment of Management Sciences for Health (MSH)’s Technical Exchange Networks (TENs) to clarify their value​, develop a set of core practices in community administration, and understand why some communities perform better than others. The authors propose an operational framework for communities of practice at MSH with three domains and ten distinct levers of change, and it represents discrete attributes of communities that can be individually or collectively selected to enhance a community of practice's performance.

Limaye, R. J., Sullivan, T. M., Dalessandro, S., & Jenkins, A. H. (2017). Looking through a social lens: conceptualising social aspects of knowledge management for global health practitioners. Journal of Public Health Research, 6(1).

The article outlines the evolution of knowledge management and then propose a conceptualization of knowledge management that incorporates human and social factors for use within a global health context. The authors presents the conceptualization of social knowledge management that recognizes the importance of social capital, social learning, social software and platforms, and social networks, all within the context of a larger social system and driven by social benefit.

Sullivan, T. M., Ohkubo, S., Rinehart, W., & Storey, J. D. (2010). From research to policy and practice: a logic model to measure the impact of knowledge management for health programs. Knowledge Management for Development Journal, 6(1), 53-69.

This article discusses the theoretical basis of the logic model in the guide developed by the Health Information and Publications Network (HIPNet), the components of the logic model, and recommendations for its further development. It concludes that while this logic model based on diffusion of innovations theory fills a gap, knowledge management program designers, implementers, and evaluators will benefit from further testing the logic model and related indicators, better understanding audiences and the role of their networks, expanding the logic model to address multiple levels, further exploring relevant theory, and developing stronger needs assessment, monitoring, and evaluation approaches.