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A novel data solution to inform curriculum decolonisation: the case of the Imperial College London Masters of Public Health. Scientometrics 2022. [DOI: 10.1007/s11192-021-04231-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
AbstractThere is increasing interest within Higher Education Institutions (HEIs) to examine curricula for legacies of colonialism or empire that might result in a preponderance of references to research from the global north. Prior attempts to study reading lists for author geographies have employed resource-intensive audit and data collection methods based on manual searching and tagging individual reading list items by characteristics such as author country or place of publication. However, these manual methods are impractical for large reading lists with hundreds of citations that change over instances the course is taught. Laborious manual methods may explain why there is a lack of quantitative evidence to inform this debate and the understanding of geographic distribution of curricula. We describe a novel computational method applied to 568 articles, representing 3166 authors from the Imperial College London Masters in Public Health programme over two time periods (2017–18 and 2019–20). Described with summary statistics, we found a marginal shift away from global north-affiliated authors on the reading lists of one Masters course over two time periods and contextualise the role and limitations of the use of quantitative data in the decolonisation discourse. The method provides opportunities for educators to examine the distribution of course readings at pace and over time, serving as a useful point of departure to engage in decolonisation debates.
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van Olmen J, Delobelle P, Guwatudde D, Absetz P, Sanders D, Mölsted Alvesson H, Puoane T, Ostenson CG, Tomson G, Mayega RW, Sundberg CJ, Peterson S, Daivadanam M. Using a cross-contextual reciprocal learning approach in a multisite implementation research project to improve self-management for type 2 diabetes. BMJ Glob Health 2018; 3:e001068. [PMID: 30555727 PMCID: PMC6267315 DOI: 10.1136/bmjgh-2018-001068] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 10/23/2018] [Accepted: 10/28/2018] [Indexed: 11/16/2022] Open
Abstract
This paper reports on the use of reciprocal learning for identifying, adopting and adapting a type 2 diabetes self-management support intervention in a multisite implementation trial conducted in a rural setting in a low-income country (Uganda), a periurban township in a middle-income country (South Africa) and socioeconomically disadvantaged suburbs in a high-income country (Sweden). The learning process was guided by a framework for knowledge translation and structured into three learning cycles, allowing for a balance between evidence, stakeholder interaction and contextual adaptation. Key factors included commitment, common goals, leadership and partnerships. Synergistic outcomes were the cocreation of knowledge, interventions and implementation methods, including reverse innovations such as adaption of community-linked models of care. Contextualisation was achieved by cross-site exchanges and local stakeholder interaction to balance intervention fidelity with local adaptation. Interdisciplinary and cross-site collaboration resulted in the establishment of learning networks. Limitations of reciprocal learning relate to the complexity of the process with unpredictable outcomes and the limited generalisability of results.
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Affiliation(s)
- Josefien van Olmen
- Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium
- Department of Primary and Interdisciplinary Care, University of Antwerp, Antwerp, Belgium
| | - Peter Delobelle
- Chronic Disease Initiative for Africa, Faculty of Health Sciences - University of Cape Town, Cape Town, South Africa
- School of Public Health, University of Western Cape, Bellville, South Africa
| | - David Guwatudde
- Department of Epidemiology and Biostatistics, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda
| | - Pilvikki Absetz
- Department of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Collaborative Care Systems Finland, Helsinki, Finland
| | - David Sanders
- School of Public Health, University of the Western Cape, Cape Town, South Africa
| | | | - Thandi Puoane
- School of Public Health, University of Western Cape, Bellville, South Africa
| | - Claes-Goran Ostenson
- Department of Molecular Medicine and Surgery, Diabetes and Endocrine Unit, Karolinska Institutet, Stockholm, Sweden
| | - Göran Tomson
- Department of Public Health Sciences, Karolinska Institutet and Swedish Institute for Global Health Transformation (SIGHT), Stockholm, Sweden
- Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden
| | - Roy William Mayega
- Department of Epidemiology and Biostatistics, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda
| | - Carl Johan Sundberg
- Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden
- Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Stefan Peterson
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
- Uppsala University, Uppsala, Sweden
| | - Meena Daivadanam
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
- Dept of Food Studies, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden
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Jawad AS. International health partnerships and mutual learning. J R Soc Med 2017; 110:468. [PMID: 29239673 DOI: 10.1177/0141076817735693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Ali Sm Jawad
- International Office, Royal College of Physicians, London NW1 4LE, UK
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