KONSEP DASAR DESAIN PENELITIAN CROSS SECTIONAL, CASE CONTROL, DAN KOHORT | MUDAH DI PAHAMI

Summary

In this video, the concept of analytical research designs in health studies is explored, focusing on three main types: cross-sectional, case-control, and cohort studies. The cross-sectional design captures both cause and effect variables at a single point in time. The case-control design identifies individuals with a known outcome and looks backward to find potential causes. Meanwhile, cohort studies track participants over time to observe how specific risk factors lead to health outcomes. The video explains these designs' differences, their applications, and how they are used to understand cause-and-effect relationships in public health research.

Takeaways

• 😀 Analytic research design is an observational method used to identify cause-and-effect relationships, often in health studies.
• 😀 The goal of analytic observational research is to determine the relationship between a cause (independent variable) and its effect (dependent variable).
• 😀 Cross-sectional design involves studying both the cause and effect at the same time during data collection, providing a snapshot of the relationship.
• 😀 Case-control design starts with the effect (the outcome) and looks backward in time to identify possible causes.
• 😀 Cohort design is prospective, meaning researchers follow a group over time to observe how exposures (like smoking) influence future outcomes (like heart disease).
• 😀 Cross-sectional studies are particularly useful for understanding the prevalence of conditions and their potential relationships with other factors.
• 😀 In case-control studies, researchers work backward to find connections between exposures (like mosquito net use) and diseases (like dengue).
• 😀 Cohort studies track individuals over time, providing insights into how exposures contribute to the development of diseases in the long run.
• 😀 Cross-sectional studies are typically conducted at a single point in time, whereas case-control and cohort studies track subjects over a longer period.
• 😀 The main difference between case-control and cohort designs lies in the direction of the study: case-control studies investigate past exposures, while cohort studies follow participants into the future.

Q & A

What is the primary purpose of analytic observational research design?

The primary purpose is to identify cause-and-effect relationships in public health issues, such as understanding how certain factors (like smoking) affect diseases (like coronary heart disease).

What are the three main types of analytic research designs discussed in the video?

The three main types discussed are Cross-Sectional (Konseptional), Case-Control (Kontrol), and Cohort (Pohon) designs.

What is the key characteristic of a Cross-Sectional design?

In a Cross-Sectional design, data is collected at a single point in time, and both the cause and effect variables are assessed simultaneously during the research.

What is an example of a Cross-Sectional research design mentioned in the video?

An example is a study exploring the relationship between knowledge about hypertension and attitudes towards managing it among the elderly.

How does a Case-Control design work?

In a Case-Control design, the effect (such as a disease) is identified first, and then researchers trace back to find potential causes or risk factors. It involves comparing those who have the disease with those who do not.

Can you provide an example of a Case-Control design?

A Case-Control study example provided in the video is researching the relationship between the use of bed nets and the occurrence of malaria. Researchers identify people with malaria and then look for differences in bed net usage.

What is the difference between a Cross-Sectional design and a Case-Control design?

A Cross-Sectional design assesses both cause and effect simultaneously at one point in time, while a Case-Control design looks backward from the effect (disease) to identify potential causes or risk factors.

What is the key feature of a Cohort design (Pohon)?

A Cohort design is prospective, meaning it starts by identifying the cause (such as smoking) and then follows participants over time to observe the effect (such as the development of heart disease).

Can you give an example of a Cohort research design?

An example of a Cohort design is a study that tracks smokers over several years to observe if they develop heart disease, comparing them with non-smokers to see the differences in outcomes.

What is the primary difference between a Case-Control design and a Cohort design?

In a Case-Control design, researchers look backward to identify causes after the effect (disease) is known, while in a Cohort design, researchers look forward, starting with the cause and following participants to see if they develop the effect.