Supporting Statement B for
Quantification of Behavioral and Physiological Effects of Drugs Using a Mobile Scalable Device - NIDA
January 22, 2014
Revised
Name: Steve Gust, Ph.D.
Address: National Institute on Drug Abuse
National Institutes of Health
6001 Executive Blvd.
Bethesda, MD 20892
Telephone: 301-443-6480
Fax: 301-443-9127
Email: sgust@nida.nih.gov
Table of contents
B. cOLLECTIONS OF INFORMATION EMPLOYING STATISTICAL
mETHODS
B.1 Respondent Universe and Sampling Methods 1
B.2 Procedures for the Collection of Information
B.3 Methods to Maximize Response Rates and Deal with Non-response
B.4 Test of Procedures or Methods to be Undertaken
B.5 Individuals Consulted on Statistical Aspects and Individuals Collecting
and/or Analyzing Data
List of Attachments:
Attachment 1: Phone Screening (MSD_PhoneScreening)
Attachment 2: Driving Survey (MSD_DrivingSurvey)
Attachment 3: Sleep and Food Intake (MSD_SFI)
Attachment 4: Stanford Sleepiness Scale (MSD_SSS)
Attachment 5: Wellness Survey (MSD_Wellness)
Attachment 6: Simulator Realism (MSD_Realism)
Attachment 7 : Electronic Version of Driving Survey (MSD_Driving_Electronic)
Attachment 8: Electronic Version of Realism Survey (MSD_Realism_Electronic)
Attachment 9: Electronic Version of Wellness Survey (MSD_Wellness_Electronic)
Respondents are individuals in Eastern Iowa willing to drive to the University of Iowa Research Park to participate in a study. Using the most recent census data for Iowa, it is estimated that approximately 186,000 individuals of driving age live in the area of recruitment. NADS currently has a database of approximately 7000 individuals who have already expressed interest in participating.
Individuals who have previously expressed an interest in participating will be contacted by phone. Individuals who meet the general inclusion criteria will be randomly selected from the NADS database. If insufficient interest exists the initial group contacted to meet the enrollment targets, , advertisements will be posted to increase the pool of potential subjects in the NADS recruitment database.
This is not a periodic study.
Individuals who have previously expressed an interest in participating will be contacted by phone. The study and its requirements will be explained to them. If interested, the phone screening will be administered to determine eligibility in the study. No responses from this will be recorded other than eligibility status.
Consistent with Section D of the OMB’s memorandum entitled “Facilitating Scientific Research by Streamlining the Paperwork Reduction Act Process,” available at http://www.whitehouse.gov/sites/default/files/omb/memoranda/2011/m11-07.pdf, NIH has submitted their IRB existing protocols documentation in lieu of parts of the supporting statement. The protocols can be found in the Supplemental Documents section this ICR documentation.
During their study visit, after having provided informed consent, questionnaires will also be used to capture data via the pencil/paper method or electronic survey software:
• Realism Survey - driver perception of the realism of the simulation
• Wellness Survey - how the participant is feeling after completing the drive
• NADS Driving Survey - general demographic information
• Sleep and Intake Questionnaire – self-report sleep, food, alcohol, and caffeine intake
• Stanford Sleepiness Scale – how sleepy a participant is feeling at a given time
Participation in the survey is voluntary; however, response rate will be maximized by contacting and enrolling only individuals who have previously expressed interest through our participant database or in response to advertisements. The number of participants identified for enrollment is estimated to be 100 (See Supporting Statements A).
These instruments have been used extensively in prior studies (see referenced studies in the reports provided below), and have been refined for ease of completion and question comprehension. Some recent reports that document their use are provided below.
Brown, T., Lee, J., Schwarz, C, Fiorentino, D., & McDonald, A. (Under Review). Advanced Countermeasures for Multiple Impairments: Final Report. Washington, DC: National Highway Traffic Safety Administration.
Berka, C., Johnson, R., Raphael, G. & Brown, T. (2012). Quantification of Behavioral & Physiological Effects on Drugs Using a Mobile Scalable Device. Carlsbad, CA: Advanced Brain Monitoring.
Lee, J., Fiorentino, D., Reyes, M., Brown, T., Ahmad, O., Fell, J., et al. (2010). Assessing the Feasibility of Vehicle-Based Sensors to Detect Alcohol Impairment (No. DOT HS 811 358). Washington, DC: National Highway Traffic Safety Administration.
Timothy Brown, Associate Research Scientist, The University of Iowa, 319-335-4785.
File Type | application/msword |
File Title | Supporting Statement 'B' Preparation - 03/21/2011 |
Subject | Supporting Statement 'B' Preparation - 03/21/2011 |
Author | OD/USER |
Last Modified By | Seleda Perryman |
File Modified | 2014-02-03 |
File Created | 2014-02-03 |