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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...
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...
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...
Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...

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Related Experiment Videos

Quantifying data quality for clinical trials using electronic data capture.

Meredith L Nahm1, Carl F Pieper, Maureen M Cunningham

  • 1Duke Translational Medicine Institute, Durham, North Carolina, United States of America. meredith.nahm@duke.edu

Plos One
|August 30, 2008
PubMed
Summary
This summary is machine-generated.

A new method for assessing clinical trial data quality in electronic data capture (EDC) trials shows significantly lower source-to-database error rates. This holistic approach is crucial for reliable clinical research data management.

Related Experiment Videos

Area of Science:

  • Clinical Trials
  • Data Management
  • Health Informatics

Background:

  • Traditional clinical trial data quality assessments are often partial, focusing on case report form (CRF) to database comparisons.
  • Errors from medical record abstraction and transcription are typically not evaluated.
  • Electronic Data Capture (EDC) processes have eliminated paper CRFs, necessitating new quality assessment methods.

Purpose of the Study:

  • To develop and evaluate a holistic methodology for assessing data quality in EDC clinical trials.
  • To establish benchmarks for source-to-database error rates in EDC environments.

Main Methods:

  • The National Institute on Drug Abuse Treatment Clinical Trials Network developed and implemented a new data quality evaluation methodology.
  • Source-to-database error rates were calculated for EDC trials over one year.

Main Results:

  • The average source-to-database error rate was 14.3 errors per 10,000 fields.
  • This rate is significantly lower than previously published source-to-database audit error rates.
  • The rate was comparable to reported CRF-to-database error rates in the literature.

Conclusions:

  • Medical record abstraction is a major historical source of data error and requires careful management in clinical trials.
  • Source-to-database error rates are influenced by structured data collection and medical record complexity.
  • These factors must be considered when establishing data quality benchmarks.