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Related Concept Videos

Data Collection by Experiments01:13

Data Collection by Experiments

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Observational Studies01:11

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Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
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Prospective Study
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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

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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,...
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Blind Procedures02:07

Blind Procedures

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Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
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Study Designs in Epidemiology01:20

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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.
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Updated: Oct 29, 2025

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Using routinely recorded data in a UK RCT: a comparison to standard prospective data collection methods.

G A Powell1, L J Bonnett2,3, C T Smith2

  • 1Department of Molecular and Clinical Pharmacology, Clinical Sciences Centre, Lower Lane, Fazakerley, Liverpool, L9 7LJ, UK. gpowell@liv.ac.uk.

Trials
|July 6, 2021
PubMed
Summary
This summary is machine-generated.

Routinely recorded health data has significant limitations in accuracy and completeness for identifying epilepsy patients and assessing clinical outcomes in trials. Further research is needed to determine its optimal use alongside standard data collection methods.

Keywords:
Administrative dataAgreementRandomised controlled trialRoutine data

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Area of Science:

  • Clinical Trials
  • Health Informatics
  • Epilepsy Research

Background:

  • Electronic health records (EHRs) offer potential for informing randomized controlled trials (RCTs).
  • However, accessing and ensuring the accuracy of routinely recorded data presents challenges.
  • The Standard and New Antiepileptic Drugs II (SANAD II) trial in the UK serves as a case study.

Purpose of the Study:

  • To assess the attributes and agreement of routinely recorded data against case report forms (CRFs) in an epilepsy RCT.
  • To evaluate data quality for participant identification, baseline, and follow-up in the SANAD II trial.
  • To compare routinely collected data with data gathered via CRFs in an antiepileptic drug trial.

Main Methods:

  • Utilized data from the SANAD II trial, a pragmatic, UK multicenter RCT on antiepileptic drugs.
  • Extracted routinely recorded secondary care data from NHS Digital Hospital Episode Statistics and primary/secondary care data from The Secure Anonymised Information Linkage Databank.
  • Assessed data attributes (missingness) and agreement using Cohen's kappa for categorical data and Bland-Altman plots for continuous data.

Main Results:

  • Significant missing data (15/20 variables) was found in routine records, including all clinical variables.
  • Poor agreement was observed for seizure occurrence and adverse events; only 37% of participants had a date of first seizure recorded.
  • Satisfactory agreement was noted for antiepileptic drug prescription dates and healthcare resource use episodes.

Conclusions:

  • Current limitations in routinely recorded data hinder its use for participant identification and clinical outcome assessment in epilepsy RCTs.
  • Further research is essential to evaluate the attributes, agreement, benefits, and cost-effectiveness of routinely recorded data.
  • The optimal integration of routinely recorded data with standard CRF methods requires further investigation for epilepsy and other chronic conditions.