Short Reports - Special Collection: Primary Care Research Methods

Real-world evidence for primary care: A primer on observational research

Klaus B. von Pressentin, Keneilwe Motlhatlhedi, Malo Musende, Tibor Schuster
African Journal of Primary Health Care & Family Medicine | Vol 17, No 2 | a5197 | DOI: https://doi.org/10.4102/phcfm.v17i2.5197 | © 2025 Klaus B. von Pressentin, Keneilwe Motlhatlhedi, Malo Musende, Tibor Schuster | This work is licensed under CC Attribution 4.0
Submitted: 30 August 2025 | Published: 25 November 2025

About the author(s)

Klaus B. von Pressentin, Division of Family Medicine, Department of Family, Community and Emergency Care (FaCE), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
Keneilwe Motlhatlhedi, Department of Family Medicine and Public Health, Faculty of Medicine, University of Botswana, Gaborone, Botswana
Malo Musende, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
Tibor Schuster, Department of Family Medicine, McGill University, Montreal, Canada

Abstract

Observational studies offer a non-experimental and minimally disruptive approach for generating real-world evidence, making them particularly valuable for informing clinical practice, research and health system strengthening – especially in primary care. This article, part of the African Journal of Primary Health Care & Family Medicine (PHCFM) methods series, introduces key observational study designs including cross-sectional, cohort and (nested) case–control studies and discusses their application in doctoral-level research. Drawing on historical and contemporary examples, we examine methodological considerations, ethical issues and modern analytical strategies essential for the careful planning and execution of observational research. By integrating conceptual frameworks and causal inference methods, this primer aims to equip researchers at different career stages with a foundational understanding of how to choose and implement observational designs that are both methodologically robust and relevant to primary care contexts.

Keywords

primary health care; primary care; observational study; cohort studies; case–control studies; cross-sectional studies; causal inference; health services research

Sustainable Development Goal

Goal 3: Good health and well-being

Metrics

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Total article views: 1887

 

Crossref Citations

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