Category: Blog
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Complete Medical Research Flowchart
👇 Click boxes below for details 👇 graph TD %% PHASE 1 A[“Research Idea”] –> B[“Refine Question FINER”] B –> C[“Format PICOT”] C –> D[“Literature Review”] D –> E[“Hypothesis”] %% PHASE 2 E –> F[“Measures of Disease”] F –> G[“Prevalence”] F –> H[“Incidence”] %% PHASE 3 H –> I[“Study Design”] I –> J[“Descriptive Study”] I…
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Chapter 21: The Research Blueprint – Preparing a Concept Paper
You have mastered the foundations of research, and now it’s time to transform your research idea into a tangible, shareable document: the Concept Paper. This paper serves as a miniature protocol and is the crucial first step for obtaining peer review, faculty guidance, and funding. 1. Why a One-Page Concept Paper? The concept paper is…
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Chapter 20: The Ultimate Test – Conducting Clinical Trials
Clinical trials are the highest standard of research, representing meticulously planned experimental studies where an intervention (like a new drug, vaccine, or technology) is tested in humans. They are critical for advancing medical science but require strict adherence to regulatory and ethical guidelines. 1. The Clinical Trial Landscape in India India has seen rapid growth…
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Chapter 19: The Covenant of Trust – Ethical Framework for Health Research
The final, and perhaps most important, foundation of the entire research process is Ethics. Before any data is collected or analyzed, researchers must ensure the welfare and safety of the participants are protected. This is not just a regulatory hurdle; it is the moral foundation of health research. 1. Historical Context and Guiding Documents Ethical…
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Chapter 18: The Final Verdict – Overview of Data Analysis
With the clean data scrolls archived, we begin the most important phase: Data Analysis. This is where we stop counting and start understanding—by linking the exposure (SuperPaste use) to the outcome (reduction in Dental Caries) to measure the impact on health. 1. Objectives of Data Analysis The primary goals of analyzing the data are: 2.…
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Chapter 17: Organizing the Scrolls – Data Management
Our heroes have been recruited, and the data scrolls (questionnaires) are filled out. This chapter is about Data Management—the process of converting these physical (or digital) scrolls into a clean, usable, and organized digital database. Good data management is essential for reliable analysis. 1. Data Management: The Key Steps Data management is a systematic process…
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Chapter 16: The Golden Rules of Hero Recruitment – Principles of Data Collection
The Study Plan and Data Collection Tools are ready. Now, as we begin recruiting our heroes (the study participants), we must follow strict Principles of Data Collection to ensure the information we gather is flawless. This is the most crucial phase, as poor data collection invalidates everything that follows. 1. The Goal: Reliability and Accuracy…
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Chapter 15: Building the Question Box – Designing Data Collection Tools
We have our plan (Chapter 14), and now we need the actual box to collect our information—the Data Collection Tool (like a super-questionnaire). If the box is badly built, the answers will fall out or get twisted, making our SuperPaste study useless. A good tool ensures the data we collect is valid and reliable. 1.…
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Chapter 14: The Architect’s Blueprint – Study Plan and Project Management
We have designed SuperPaste, chosen our heroes (Sample), and calculated exactly how many we need. Now, we need a detailed battle plan—the Study Plan and Project Management—to ensure our study is executed perfectly, on time, and within budget. A study fails not usually because of bad science, but because of poor planning. 1. 🗺️ The…
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Chapter 13: Picking the Perfect Heroes – Selection of Study Population
We’ve decided we need to test SuperPaste, and we know how many children to pick (Sample Size), but we must be very careful about who we pick! If we select the wrong children, the study’s results won’t apply to the larger world, making the whole effort useless. This chapter is about Selection of Study Population—the…