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| Pragmatisk tvärsnittsstudie inom epidemiologi× | Kohortstudie× | |
|---|---|---|
| Ämnesområde | Epidemiologi | Epidemiologi |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår≠ | Mid-20th century onwards; pragmatic framing prominent from 1967 | Mid-20th century (formal epidemiological design codified ~1950s) |
| Upphovsperson≠ | Classical epidemiology tradition; pragmatic framing refined by Schwartz & Lellouch (1967) and subsequent real-world evidence literature | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| Typ≠ | Observational epidemiological design | Observational longitudinal study design |
| Ursprungskälla | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Alias | pragmatic cross-sectional survey, real-world cross-sectional study, observational cross-sectional study, prevalence survey | longitudinal study, follow-up study, panel study, incidence study |
| Närliggande≠ | 4 | 6 |
| Sammanfattning≠ | A pragmatic cross-sectional epidemiological study measures the prevalence of exposures, outcomes, and risk factors in a defined population at a single point in time, conducted under real-world conditions rather than tightly controlled experimental settings. It provides a snapshot of the health status of a community or patient group, making it one of the most widely used designs for surveillance, needs assessment, and hypothesis generation in clinical and public-health epidemiology. | 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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