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Related Concept Videos

Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Study Design in Statistics01:15

Study Design in Statistics

A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...

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Related Experiment Video

Updated: Jul 10, 2026

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
04:53

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition

Published on: September 20, 2019

Maintaining data integrity in a rural clinical trial.

Jan Van den Broeck1, Melanie Mackay, Nontobeko Mpontshane

  • 1Epidemiology Research Unit, Tropical Medicine Research Institute, University of The West Indies, Mona, Kingston, Jamaica. Jvdbroeck1959@gmail.com

Clinical Trials (London, England)
|October 19, 2007
PubMed
Summary

Establishing local data handling capacity in rural clinical trials is feasible, yielding acceptable data quality despite unique challenges. This approach can build capacity in developing countries, demonstrating successful data integrity maintenance.

Related Experiment Videos

Last Updated: Jul 10, 2026

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
04:53

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition

Published on: September 20, 2019

Area of Science:

  • Clinical Research
  • Data Management
  • Global Health

Background:

  • Rural clinical trials face significant data quality challenges due to resource limitations.
  • Lack of detailed reporting on overcoming these data handling obstacles hinders progress.

Purpose of the Study:

  • To illustrate the establishment of local data handling capacity in a rural clinical trial setting.
  • To identify and address challenges and solutions encountered during capacity building.
  • To report on the data quality achieved by the trial.

Main Methods:

  • A descriptive case study approach was used to detail the data system for biological samples and questionnaire data.
  • Data quality was assessed using Kappa statistics for inter- and intra-observer agreement, Technical Errors of Measurement for anthropometric data, audit trail analysis for error correction, and database-to-source document comparisons for residual errors.

Main Results:

  • Initial challenges included a shortage of experienced research personnel and difficulties in software/database development.
  • National/international collaboration, external monitoring, and streamlined logistics were crucial for data handling and good clinical practice.
  • Community engagement through an advisory board improved cultural appropriateness and data collection acceptability.

Conclusions:

  • Maintaining data integrity in rural clinical trials is achievable and can lead to acceptable data quality.
  • Developing local data handling capacity is feasible and beneficial for sites in developing countries.
  • Rural trials present unique challenges requiring specific strategies and resources.