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| Nghiên cứu sinh thái thực dụng× | Nghiên cứu thuần tập× | |
|---|---|---|
| Lĩnh vực | Dịch tễ học | Dịch tễ học |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1967–1982 (pragmatic concept 1967; ecological study formalized ~1982) | Mid-20th century (formal epidemiological design codified ~1950s) |
| Người khởi xướng≠ | Morgenstern (ecological study framework); Schwartz & Lellouch (pragmatic design concept) | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| Loại≠ | Observational ecological study with pragmatic framing | Observational longitudinal study design |
| Công trình gốc≠ | Morgenstern, H. (1982). Uses of ecologic analysis in epidemiologic research. American Journal of Public Health, 72(12), 1336–1344. DOI ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Tên gọi khác | real-world ecological study, effectiveness ecological study, population-level pragmatic study, pragmatic ecologic design | longitudinal study, follow-up study, panel study, incidence study |
| Liên quan≠ | 5 | 6 |
| Tóm tắt≠ | A pragmatic ecological study is an observational epidemiological design that examines associations between exposures and outcomes at the population or group level — using routinely collected, real-world data — with the explicit goal of informing practical public health decisions under everyday conditions. Rather than controlling every variable in a laboratory-like manner, it embraces the complexity and heterogeneity of natural settings to answer effectiveness questions relevant to policy. | A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome. |
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