Reducing Children's Distress Towards Flu Vaccinations

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

57 participants

Study Classification

OBSERVATIONAL

Study Start Date

2011-10-31

Study Completion Date

2011-11-30

Brief Summary

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Millions of children in North America receive an annual flu vaccination, many of whom are at risk of experiencing severe distress. Children frequently use technologically advanced devices such as computers and cell phones. Based on this familiarity, the investigators introduced another sophisticated device - a humanoid robot to- interact with children during their vaccination. The investigators hypothesized that these children would experience less distress than children who did not have this interaction.

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Detailed Description

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57 children (30 male; age, mean + SD: 6.87 + 1.34 years) were randomly assigned to a vaccination session with a nurse who used standard administration procedures, or with a robot who was programmed to use cognitive-behavioral strategies with them while a nurse administered the vaccination. Measures of distress were completed by children, parents, nurses, and researchers.

Conditions

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Children's Distress During Flu Vaccination

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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humanoid robot distration

The robot NAO, academic edition (Aldebaran Robotics) was used in this study. Some of its features include an on-board fully programmable computer CPU: x86 AMD Geode with 500 MHz, 256 MB SDRAM and 1 GB flash memory, WiFi (802.11g) and Ethernet, two cameras with up to 30 frames per second, two hands with self adaptive gripping abilities, force sensitive sensors on its arms and feet to perceive contact with objects, Light Emission Diodes in its eyes and body, four microphones to identify the source of sounds, and two loud speakers for communication where tone and voice pitch can be modified in real-time. It runs on a native Linux Operating system platform and can be programmed using a proprietary SDK called NaoQi, or in C, C++, Ruby and Urbi, which makes it compatible with other robot simulators such as Microsoft Robotics Developer Studio.

No interventions assigned to this group