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Related Concept Videos

Data Collection by Survey01:07

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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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...
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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.”
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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
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A Web-Based Data Collection Platform for Multisite Randomized Behavioral Intervention Trials: Development, Key

Riddhi A Modi1, Michael J Mugavero1, Rivet K Amico2

  • 1University of Alabama at Birmingham, Birmingham, AL, United States.

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|June 18, 2017
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Summary
This summary is machine-generated.

A new software platform, Integrating ENGagement and Adherence Goals upon Entry (iENGAGE), was developed to support a multisite behavioral intervention for HIV patients. User feedback highlighted ease of use and data integration as key benefits for improving clinical trial conduct.

Keywords:
HIVWeb applicationbehavioral researchiENGAGEsoftware designsurveyuser perspective

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Area of Science:

  • Behavioral Science
  • Health Informatics
  • Clinical Trials

Background:

  • Meticulous data tracking is crucial for regulatory compliance and data integrity in behavioral intervention trials.
  • Behavioral interventions can improve health outcomes for HIV-infected patients, enhancing retention in care.
  • The iENGAGE intervention was developed to empower newly diagnosed HIV-positive individuals.

Purpose of the Study:

  • To describe the design and implementation of a Web-based software application for multisite behavioral science interventions.
  • To report on end-user perspectives regarding the software's impact on a behavioral intervention trial.

Main Methods:

  • Developed a software platform to deploy a 4-site behavioral intervention for new HIV/AIDS clinic patients.
  • Integrated a study coordinator into the informatics team for software development.
  • Conducted a 25-item survey with 13 users to evaluate perspectives on the iENGAGE trial platform.

Main Results:

  • Key features included study enrollment, randomization, real-time data collection, longitudinal workflow, reporting, and reusability.
  • 100% user agreement that database participation improved understanding of roles and responsibilities.
  • Users found ease of use, color flags, longitudinal workflow, and centralized data storage most useful.

Conclusions:

  • Early and continuous study team involvement in design development validated the iENGAGE platform's approach.
  • Post-hoc data collection from users provided insights for enhancing future software and informing clinical practices.
  • The platform successfully supported a multisite behavioral intervention for HIV patients.