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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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Related Experiment Video

Updated: Oct 7, 2025

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

Electronic Versus Traditional Data Collection: A Multicenter Randomized Controlled Perioperative Pain Trial.

James S Khan¹, Lindsay A Jibb^2,3, Jason W Busse^4,5,6,7

¹Department of Anesthesia, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.

Canadian Journal of Pain = Revue Canadienne De La Douleur

|January 10, 2022

Summary

This summary is machine-generated.

Electronic data collection is feasible for perioperative pain trials, though it results in more data queries and higher costs than traditional methods. Further research is needed to optimize electronic data capture in diverse surgical populations.

Keywords:

clinical clinical trials pain perioperative randomized controlled trials

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Last Updated: Oct 7, 2025

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Published on: January 27, 2010

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Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

Area of Science:

Clinical Trials Methodology
Pain Management Research
Health Informatics

Background:

Electronic data collection is emerging for clinical trial data, but its effectiveness and cost compared to traditional methods remain unclear.
Evaluating electronic versus traditional data collection is crucial for optimizing pain-related clinical trial processes.

Purpose of the Study:

To compare data quality, protocol adherence, satisfaction, and resource requirements between electronic and traditional data collection in a perioperative pain trial.
To assess the feasibility of Internet-based electronic submission versus paper diaries and telephone interviews.

Main Methods:

An open-label, two-arm parallel randomized controlled trial involving women (18-75 years) undergoing breast cancer surgery.
Participants were randomized to either electronic or traditional data collection for pain-related questionnaires at baseline, post-operation, and 3-month follow-up.
Data collected included data queries, medication compliance, data completeness, loss to follow-up, patient/research assistant satisfaction, time, and costs.

Main Results:

The electronic data group had significantly more data queries per patient (4.92 vs. 1.88; P < 0.001).
No significant differences were found in medication compliance, data completeness, loss to follow-up, or satisfaction.
Traditional data collection required more research assistant time (42.6 min vs. 9.92 min; P < 0.001), but electronic data collection incurred higher costs ($176.85 vs. $16.33; P < 0.001).

Conclusions:

Electronic data collection is a feasible method for perioperative pain clinical trials.
Further trials across different surgical populations are necessary to validate these findings and refine electronic data capture strategies.
Optimization of electronic data capture methods is recommended for future perioperative pain research.