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Abraham AG, Hlaing WM. Are you understanding what I am saying? The critical importance of communication competency in epidemiology. Front Public Health 2025; 13:1533393. [PMID: 39957986 PMCID: PMC11825464 DOI: 10.3389/fpubh.2025.1533393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2024] [Accepted: 01/13/2025] [Indexed: 02/18/2025] Open
Abstract
There are myriad examples of poor communication by public health scientists and researchers that have resulted in lasting harm to individuals, communities, the field of epidemiology, and the broader field of public health. These examples underscore that science messages hinge not only on their merit alone but also on how effectively we communicate them. Here, we highlight the strong consensus in the epidemiology educational literature that epidemiology students should be trained to communicate effectively, specifically with the general public. This allows the public access to critical information that could affect their well-being. Most epidemiology programs in academia do not focus on the skills needed to translate scientific evidence and its uncertainty into a comprehensible and culturally appropriate message to the diverse public composed of varying race/ethnicities as well as varying health and numerical literacy levels. We provide guidance on which specific communication skills may be most important for epidemiologists facing the growing health misinformation and disinformation epidemic. We also describe what a communication-focused curriculum might look like, given that communication skills cannot be learned solely through traditional coursework. Lastly, we address barriers that have prevented communication skills from being meaningfully incorporated in epidemiology curricula.
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Affiliation(s)
- Alison G. Abraham
- Department of Epidemiology, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States
- Department of Ophthalmology, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States
| | - WayWay M. Hlaing
- Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States
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Chalmers KE, Spence KL. Identifying skills required of new epidemiologists: a content analysis of Canadian job postings and master's programs. Front Public Health 2024; 12:1418494. [PMID: 39363985 PMCID: PMC11446749 DOI: 10.3389/fpubh.2024.1418494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 09/09/2024] [Indexed: 10/05/2024] Open
Abstract
Introduction The rise of emerging public health threats has increased the need for qualified epidemiologists in Canada. Our study aimed to identify the knowledge, skills, and abilities (KSAs) required of epidemiologists entering the workforce and determine whether these align with those taught in graduate epidemiology programs. Methods An inductive content analysis of Canadian job postings from May to December 2023 containing the keyword "epidemiology" and requiring master's degrees in epidemiology or related fields was conducted to identify the KSAs required in the workforce. Inductive content analysis of Master of Science (MSc) program descriptions and core course descriptions was completed to discern skills gained through Canadian graduate epidemiology and public health programs. Results Based on the 295 job postings analyzed, five KSA categories were identified: communication skills (n = 268, 90.8%), analytical skills (n = 267, 90.5%), soft skills (n = 254, 86.1%), research methodology (n = 217, 73.6%), and knowledge of epidemiological concepts (n = 170, 57.6%). Analysis of 18 MSc programs found that that all of them described analytical skills, research methodology, and epidemiological concepts within their curriculum. Communication skills were described in 94.4% (n = 17) of programs, while soft skills were mentioned in 50.0% (n = 9). However, only 66.7% (n = 12) of programs outlined learning objectives or specified the skills acquired from their programs in their descriptions. Conclusion There was alignment between the needs of the Canadian epidemiology job market and MSc programs, particularly in analytical skills and research methodology. However, development of soft skills should be emphasized within graduate epidemiology programs to better prepare graduates for the job market. Future research should aim to develop competency statements for epidemiologists in training to ensure consistency across graduate programs and promote career readiness.
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Affiliation(s)
- Karli E Chalmers
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Kelsey L Spence
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
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Radtke T, von Wyl V, Haile SR, Rohrmann S, Frei A, Puhan MA. Evidence-based coaching of core competencies in epidemiology, using the framework of randomized controlled trials: the Zurich approach. Int J Epidemiol 2024; 53:dyae075. [PMID: 38847781 PMCID: PMC11157962 DOI: 10.1093/ije/dyae075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 05/22/2024] [Indexed: 06/09/2024] Open
Abstract
Teaching epidemiological concepts in academic settings poses a challenge due to the intricate nature of the discipline as both a science and a practice. Whereas traditional classroom-based teaching methods are commonly employed, evidence suggests they may not be the most effective approach for fostering core competencies and skills required in real-life scientific work. In this article, we describe our process of transitioning from traditional classroom teaching of epidemiology towards practice-based coaching to convey epidemiological concepts to bachelor's and master's students in Biomedicine. We chose the framework of randomized controlled trials (RCT) since they offer a great opportunity to teach epidemiological concepts in a hands-on course. This practice-based course encompasses the entire life cycle of a study, allowing students to design and conduct a short-term experiment, analyse its data and prepare a scientific paper. We provide a comprehensive overview of the course structure, content, learning objectives and course evaluation, while also discussing the advantages and disadvantages of this innovative format. Our approach offers a promising alternative to classroom teaching by incorporating practical, hands-on experiences offering students a high level of independence and self-determination, as well as facilitation and coaching by faculty. It has the potential to be applied across diverse academic settings, providing students with valuable skills and competencies in epidemiology.
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Affiliation(s)
- Thomas Radtke
- Division of Chronic Disease Epidemiology, Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Viktor von Wyl
- Division of Chronic Disease Epidemiology, Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Sarah R Haile
- Division of Chronic Disease Epidemiology, Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Sabine Rohrmann
- Division of Chronic Disease Epidemiology, Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Anja Frei
- Division of Chronic Disease Epidemiology, Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Milo A Puhan
- Division of Chronic Disease Epidemiology, Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
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Gille F, Frei A, Kaufmann M, Lehmann A, Muñoz Laguna J, Papadopoulos K, Spörri A, Stanikić M, Tušl M, Zavattaro F, Puhan MA. A guide for a student-led doctoral-level qualitative methods short course in epidemiology: faculty and student perspectives. Int J Epidemiol 2024; 53:dyae029. [PMID: 38389285 PMCID: PMC10883707 DOI: 10.1093/ije/dyae029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 02/07/2024] [Indexed: 02/24/2024] Open
Abstract
Qualitative research and mixed methods are core competencies for epidemiologists. In response to the shortage of guidance on graduate course development, we wrote a course development guide aimed at faculty and students designing similar courses in epidemiology curricula. The guide combines established educational theory with faculty and student experiences from a recent introductory course for epidemiology and biostatistics doctoral students at the University of Zurich and Swiss Federal Institute of Technology, Zurich. We propose a student-centred course with inverse classroom teaching and practice exercises with faculty input. Integration of student input during the course development process helps align the course syllabus with student needs. The proposed course comprises six sessions that cover learning outcomes in comprehension, knowledge, application, analysis, synthesis and evaluation. Following an introductory session, the students engage in face-to-face interviews, focus group interviews, observational methods, analysis and how qualitative and quantitative methods are integrated in mixed methods. Furthermore, the course covers interviewer safety, research ethics, quality in qualitative research and a practice session focused on the use of interview hardware, including video and audio recorders. The student-led teaching characteristic of the course allows for an immersive and reflective teaching-learning environment. After implementation of the course and learning from faculty and student perspectives, we propose these additional foci: a student project to apply learned knowledge to a case study; integration in mixed-methods; and providing faculty a larger space to cover theory and field anecdotes.
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Affiliation(s)
- Felix Gille
- Institute for Implementation Science in Health Care (IfIS), University of Zurich, Zurich, Switzerland
- Digital Society Initiative (DSI), University of Zurich, Zurich, Switzerland
| | - Anja Frei
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Marco Kaufmann
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Anja Lehmann
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Javier Muñoz Laguna
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
- EBPI-UWZH Musculoskeletal Epidemiology Research Group, University of Zurich and Balgrist University Hospital, Zurich, Switzerland
- University Spine Centre Zurich (UWZH), Balgrist University Hospital and University of Zurich, Zurich, Switzerland
| | - Kimon Papadopoulos
- Institute for Implementation Science in Health Care (IfIS), University of Zurich, Zurich, Switzerland
- Digital Society Initiative (DSI), University of Zurich, Zurich, Switzerland
| | - Angela Spörri
- Central Informatics, Multimedia an E-Learning Services, University of Zurich, Zurich, Switzerland
| | - Mina Stanikić
- Institute for Implementation Science in Health Care (IfIS), University of Zurich, Zurich, Switzerland
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Martin Tušl
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Federica Zavattaro
- Institute for Implementation Science in Health Care (IfIS), University of Zurich, Zurich, Switzerland
- Digital Society Initiative (DSI), University of Zurich, Zurich, Switzerland
| | - Milo Alan Puhan
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
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Muñoz Laguna J, Nyantakyi E, Bhattacharyya U, Blum K, Delucchi M, Klingebiel FKL, Labarile M, Roggo A, Weber M, Radtke T, Puhan MA, Hincapié CA. Is blinding in studies of manual soft tissue mobilisation of the back possible? A feasibility randomised controlled trial with Swiss graduate students. Chiropr Man Therap 2024; 32:3. [PMID: 38287417 PMCID: PMC10826218 DOI: 10.1186/s12998-023-00524-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 12/07/2023] [Indexed: 01/31/2024] Open
Abstract
STUDY DESIGN Single-centre, two-parallel group, methodological randomised controlled trial to assess blinding feasibility. BACKGROUND Trials of manual therapy interventions of the back face methodological challenges regarding blinding feasibility and success. We assessed the feasibility of blinding an active manual soft tissue mobilisation and control intervention of the back. We also assessed whether blinding is feasible among outcome assessors and explored factors influencing perceptions about intervention assignment. METHODS On 7-8 November 2022, 24 participants were randomly allocated (1:1 ratio) to active or control manual interventions of the back. The active group (n = 11) received soft tissue mobilisation of the lumbar spine. The control group (n = 13) received light touch over the thoracic region with deep breathing exercises. The primary outcome was blinding of participants immediately after a one-time intervention session, as measured by the Bang blinding index (Bang BI). Bang BI ranges from -1 (complete opposite perceptions of intervention received) to 1 (complete correct perceptions), with 0 indicating 'random guessing'-balanced 'active' and 'control' perceptions within an intervention arm. Secondary outcomes included blinding of outcome assessors and factors influencing perceptions about intervention assignment among both participants and outcome assessors, explored via thematic analysis. RESULTS 24 participants were analysed following an intention-to-treat approach. 55% of participants in the active manual soft tissue mobilisation group correctly perceived their group assignment beyond chance immediately after intervention (Bang BI: 0.55 [95% confidence interval (CI), 0.25 to 0.84]), and 8% did so in the control group (0.08 [95% CI, -0.37 to 0.53]). Bang BIs in outcome assessors were 0.09 (-0.12 to 0.30) and -0.10 (-0.29 to 0.08) for active and control participants, respectively. Participants and outcome assessors reported varying factors related to their perceptions about intervention assignment. CONCLUSIONS Blinding of participants allocated to an active soft tissue mobilisation of the back was not feasible in this methodological trial, whereas blinding of participants allocated to the control intervention and outcome assessors was adequate. Findings are limited due to imprecision and suboptimal generalisability to clinical settings. Careful thinking and consideration of blinding in manual therapy trials is warranted and needed. TRIAL REGISTRATION ClinicalTrials.gov: NCT05822947 (retrospectively registered).
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Affiliation(s)
- Javier Muñoz Laguna
- EBPI-UZWH Musculoskeletal Epidemiology Research Group, University of Zurich, Zurich, Switzerland.
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland.
- University Spine Centre Zurich (UWZH), Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
| | - Emanuela Nyantakyi
- Faculty of Medicine, Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland
| | - Urmila Bhattacharyya
- Institute of Evolutionary Medicine (IEM), University of Zurich, Zurich, Switzerland
| | - Kathrin Blum
- Faculty of Medicine, Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland
| | - Matteo Delucchi
- Centre of Computational Health, Institute of Computational Life Sciences, Zurich University of Applied Sciences (ZHAW), Zurich, Switzerland
- Department of Mathematics, University of Zurich, Zurich, Switzerland
| | - Felix Karl-Ludwig Klingebiel
- Department of Trauma, University Hospital Zurich, Zurich, Switzerland
- Harald Tscherne Laboratory for Orthopaedic and Trauma Research, University of Zurich, Zurich, Switzerland
| | - Marco Labarile
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Andrea Roggo
- Department of Dermatology, University Hospital Zurich, Zurich, Switzerland
| | - Manuel Weber
- School of Health Professions, Academic-Practice-Partnership between Bern University of Applied Sciences and University Hospital of Bern, Bern University of Applied Sciences, Bern, Switzerland
| | - Thomas Radtke
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Milo A Puhan
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Cesar A Hincapié
- EBPI-UZWH Musculoskeletal Epidemiology Research Group, University of Zurich, Zurich, Switzerland
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
- University Spine Centre Zurich (UWZH), Balgrist University Hospital, University of Zurich, Zurich, Switzerland
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DiSipio T, Protani MM, Finnane A, Johnson R, Hall L. Exploring postgraduate epidemiology competencies: Preparing our students for a post-COVID world. Aust N Z J Public Health 2023; 47:100026. [PMID: 36906998 DOI: 10.1016/j.anzjph.2023.100026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 11/08/2022] [Accepted: 12/11/2022] [Indexed: 03/12/2023] Open
Abstract
OBJECTIVE This research sought consensus from both experts and graduates on postgraduate epidemiology competencies. METHODS In 2021, a two-round online survey using a modified Delphi method was undertaken exploring competencies across six domains. Focus groups were conducted with recent postgraduate epidemiology graduates to assess their viewpoints on learning experiences and employability. RESULTS Forty-one experts participated in the first Delphi round. Nineteen factors reached consensus (>70% agreement) for importance and feasibility after two survey rounds in the following domains: general epidemiologic methods/concepts (n=8/13), advanced analytic/statistical skills (n=2/7), applied epidemiology/specialised fields (n=1/4), professional/transferrable skills (n=5/14), general public health knowledge/skills (n=2/4), independent research and work-integrated learning (n=1/3). Nine graduates participated in focus groups. A main theme was the substantial value gained in undertaking a dissertation, acknowledging its benefit for applying research skills and for networking opportunities. CONCLUSIONS To ensure that high-quality epidemiological research and practice continues, we need consensus on the set of essential skills required of graduating students. IMPLICATIONS FOR PUBLIC HEALTH Competencies for postgraduate epidemiology students require periodic review to safeguard a workforce that can meet emerging challenges and work across academia, research, policy, and practice.
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Affiliation(s)
- T DiSipio
- The University of Queensland, School of Public Health, Brisbane, Queensland 4006, Australia.
| | - M M Protani
- The University of Queensland, School of Public Health, Brisbane, Queensland 4006, Australia
| | - A Finnane
- The University of Queensland, School of Public Health, Brisbane, Queensland 4006, Australia
| | - R Johnson
- The University of Queensland, School of Public Health, Brisbane, Queensland 4006, Australia
| | - L Hall
- The University of Queensland, School of Public Health, Brisbane, Queensland 4006, Australia
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Long COVID Citizen Scientists: Developing a Needs-Based Research Agenda by Persons Affected by Long COVID. THE PATIENT 2022; 15:565-576. [PMID: 35478078 PMCID: PMC9046008 DOI: 10.1007/s40271-022-00579-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 03/17/2022] [Indexed: 12/22/2022]
Abstract
Background Long-term health consequences following acute SARS-CoV-2 infection, referred to as post-COVID-19 condition or Long COVID, are increasing, with population-based prevalence estimates for adults at around 20%. Persons affected by Long COVID report various health problems, yet evidence to guide clinical decision making remains scarce. Objective The present study aimed to identify Long COVID research priorities using a citizen science approach and solely considering the needs of those affected. Methods This citizen science study followed an iterative process of patient needs identification, evaluation and prioritisation. A Long COVID Citizen Science Board (21 persons with Long COVID, and seven with myalgic encephalomyelitis/chronic fatigue syndrome) and a Long COVID Working Group (25 persons with Long COVID, four patients with myalgic encephalomyelitis/chronic fatigue syndrome and one relative) were formed. The study included four activities: three remote meetings and one online survey. First, Board members identified the needs and research questions. Second, Working Group members and persons affected by Long COVID (241 respondents, 85.5% with Long COVID, 14.5% with myalgic encephalomyelitis/chronic fatigue syndrome and 7.1% relatives) evaluated the research questions on a 1–5 Likert scale using an online survey. Then the Board gave feedback on this evaluation. Finally, Board members set the priorities for research through voting and discussion. Results Sixty-eight research questions were generated by the Board and categorised into four research domains (medicine, healthcare services, socioeconomics and burden of disease) and 14 subcategories. Their average importance ratings were moderate to high and varied from 3.41 (standard deviation = 1.16) for sex-specific diagnostics to 4.86 (standard deviation = 0.41) for medical questions on treatment. Five topics were prioritised: “treatment, rehabilitation and chronic care management”, “availability of interfaces for treatment continuity”, “availability of healthcare structures”, “awareness and knowledge among professionals” and “prevalence of Long COVID in children and adolescents”. Conclusions To our knowledge, this is the first study developing a citizen-driven, explicitly patient-centred research agenda with persons affected by Long COVID, setting it apart from existing multi-stakeholder efforts. The identified priorities could guide future research and funding allocation. Our methodology establishes a framework for citizen-driven research agendas, suitable for transfer to other diseases. Supplementary Information The online version contains supplementary material available at 10.1007/s40271-022-00579-7. Research shows that about one in five adults may experience lasting symptoms months after their initial coronavirus infection. Persons with Long COVID have various health problems and doctors often do not know their patients’ most urgent needs. The project directly involved people with Long COVID who were asked to express, discuss and rank how research could meet their needs. For that, a Board and a Working Group were formed to take part in three online board meetings and one online questionnaire. In the meetings, the Board formulated 68 research questions, which fall into four research areas: (1) medicine, (2) healthcare services, (3) socioeconomics and (4) burden of disease. The Working Group and other persons affected by Long COVID ranked the importance of these 68 research questions using an online questionnaire. Most questions were ranked as somehow or very important, confirming the relevance of the selected research questions for patients with Long COVID. Finally, the Board selected its top five research topics: “treatment, rehabilitation and chronic care management”, “availability of interfaces for treatment continuity”, “availability of healthcare structures”, “awareness and knowledge among professionals” and “prevalence of Long COVID in children and adolescents”. This result will help prioritise and finance future research that is valued and needed by people with Long COVID.
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Hayward A, Wodtke L, Craft A, Robin T, Smylie J, McConkey S, Nychuk A, Healy C, Star L, Cidro J. Addressing the need for indigenous and decolonized quantitative research methods in Canada. SSM Popul Health 2021; 15:100899. [PMID: 34584930 PMCID: PMC8455856 DOI: 10.1016/j.ssmph.2021.100899] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 08/13/2021] [Accepted: 08/15/2021] [Indexed: 12/01/2022] Open
Abstract
Though qualitative methods are often an appropriate Indigenous methodology and have dominated the literature on Indigenous research methods, they are not the only methods available for health research. There is a need for decolonizing and Indigenizing quantitative research methods, particularly in the discipline of epidemiology, to better address the public health needs of Indigenous populations who continue to face health inequities because of colonial systems, as well as inaccurate and incomplete data collection about themselves. For the last two decades, researchers in colonized countries have been calling for a specifically Indigenous approach to epidemiology that recognizes the limits of Western epidemiological methods, incorporates more Indigenous research methodologies and community-based participatory research methods, builds capacity by training more Indigenous epidemiologists, and supports Indigenous self-determination. Indigenous epidemiology can include a variety of approaches, including: shifting standards, such as age standardization, according to Indigenous populations to give appropriate weight to their experiences; carefully setting recruitment targets and using appropriate recruitment methods to fulfill statistical standards for stratification; acting as a bridge between Indigenous and Western technoscientific perspectives; developing culturally appropriate data collection tools; and developing distinct epidemiological methods based on Indigenous knowledge systems. This paper explores how decolonization and Indigenization of epidemiology has been operationalized in recent Canadian studies and projects, including the First Nations Regional Longitudinal Health Survey and how this decolonization and Indigenization might be augmented with the capacity-building of the future Our Health Counts Applied Indigenous Epidemiology, Health Information, and Health Services and Program Evaluation Training and Mentorship Program in Canada.
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Key Words
- CBPR, community-based participatory research
- CIHR, Canadian Institutes of Health Research
- Capacity-building
- Community-based participatory research
- Decolonized
- Epidemiology
- FNIGC, First Nations Information Governance Centre
- FNIM, First Nations Inuit and Métis
- ISC, Indigenous Services of Canada
- Indigenous research methods
- NEIHR, Network Environments for Indigenous Health Research
- OHC-NET, Our Health Counts Applied Indigenous Epidemiology, Health Information and Health Services and Program Evaluation Training and Mentorship Program
- PAHO, Pan American Health Organization
- Quantitative methods
- RHS, The First Nations Regional Longitudinal Health Survey
- TEC, Tribal Epidemiology Centers
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Affiliation(s)
- Ashley Hayward
- University of Winnipeg, 515 Portage Avenue, Winnipeg, Manitoba, R3B 2E9, Canada
| | - Larissa Wodtke
- University of Winnipeg, 515 Portage Avenue, Winnipeg, Manitoba, R3B 2E9, Canada
| | - Aimée Craft
- University of Ottawa, 57 Louis Pasteur Street, Ottawa, Ontario, K1N 6N5, Canada
| | - Tabitha Robin
- University of Manitoba, 66 Chancellors Circle, Winnipeg, Manitoba, R3T 2N2, Canada
| | - Janet Smylie
- Centre for Urban Health Solutions (C-UHS), St. Michael's Hospital, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada
| | - Stephanie McConkey
- Centre for Urban Health Solutions (C-UHS), St. Michael's Hospital, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada
| | - Alexandra Nychuk
- University of Winnipeg, 515 Portage Avenue, Winnipeg, Manitoba, R3B 2E9, Canada
| | - Chyloe Healy
- Blackfoot Confederacy, 820 59th Ave S.E., Unit 100, Calgary, AB, T2H 2G5, Canada
| | - Leona Star
- First Nations Health and Social Secretariat of Manitoba, 74-360 Kernaghan Avenue, Winnipeg, Manitoba, R2C 5G1, Canada
| | - Jaime Cidro
- University of Winnipeg, 515 Portage Avenue, Winnipeg, Manitoba, R3B 2E9, Canada
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