Effectiveness of the Quotient® ADHD Assessment in a System of Care
2 other identifiers
interventional
207
1 country
3
Brief Summary
The study goal is to examine whether the use of an objective computerized neuroassessment (the Quotient System) for Attention-Deficit/Hyperactivity Disorder (ADHD) is related to improved outcomes among pediatric patients being assessed and treated for ADHD.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Mar 2014
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 1, 2014
CompletedFirst Submitted
Initial submission to the registry
March 13, 2014
CompletedFirst Posted
Study publicly available on registry
March 24, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2015
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2015
CompletedResults Posted
Study results publicly available
July 17, 2017
CompletedJuly 17, 2017
June 1, 2017
1.4 years
March 13, 2014
January 31, 2017
June 19, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Number of Participants With 25% Reduction in SNAP Scores
Outcome measure reported is the number of participants with at least one 25% reduction in SNAP between visits. In treatment of ADHD, the therapeutic dose is defined as a 25% reduction in SNAP IV score between consecutive clinic visits. SNAP is itemized rating scale (Swanson, Nolan, and Pelham-IV Questionnaire) designed to measure ADHD symptoms and severity on a 4 point scale. It is based on DSM IV criteria, and is designed to measure attention deficit hyperactivity disorder (ADHD) and oppositional defiant disorder (ODD) symptoms in children and young adults ages 6-18.
One month, 3 month and six month follow ups
Secondary Outcomes (6)
ADHD Symptomatology
6 months post baseline
Academic Performance
Baseline and Six Months
Persistence in Care
Baseline to Six Months
Medication Adherence
Baseline to six months
Satisfaction With Care
Six months
- +1 more secondary outcomes
Study Arms (2)
Usual Care
ACTIVE COMPARATORUsual clinic ADHD care
Usual Care plus Assessment
EXPERIMENTALUsual clinic ADHD care plus the Quotient®
Interventions
Patients will be randomized once at the time of ADHD assessment to either usual clinic ADHD care or usual clinic ADHD care plus the Quotient using computer-generated random numbers.
Eligibility Criteria
You may qualify if:
- All patients within the specified age range who are English speaking and who are presenting for ADHD assessment are eligible. An additional criterion is consent to be randomized.
You may not qualify if:
- Non English speaking
- Refusal to participate
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Kaiser Permanentelead
- Pearson/Clinical Assessmentcollaborator
Study Sites (3)
Kaiser Permanente, Folsom
Folsom, California, 95630, United States
Kaiser Permanente, Roseville
Roseville, California, 95661, United States
Kaiser Permanente, Walnut Creek Medical Center
Walnut Creek, California, 94596, United States
Related Publications (13)
Chinchilli VM, Fisher L, Craig TJ. Statistical issues in clinical trials that involve the double-blind, placebo-controlled food challenge. J Allergy Clin Immunol. 2005 Mar;115(3):592-7. doi: 10.1016/j.jaci.2005.01.008.
PMID: 15753909BACKGROUNDClinical practice guideline: diagnosis and evaluation of the child with attention-deficit/hyperactivity disorder. American Academy of Pediatrics. Pediatrics. 2000 May;105(5):1158-70. doi: 10.1542/peds.105.5.1158.
PMID: 10836893BACKGROUNDFoy JM, Earls MF. A process for developing community consensus regarding the diagnosis and management of attention-deficit/hyperactivity disorder. Pediatrics. 2005 Jan;115(1):e97-104. doi: 10.1542/peds.2004-0953.
PMID: 15629972BACKGROUNDHerrerias CT, Perrin JM, Stein MT. The child with ADHD: using the AAP Clinical Practice Guideline. American Academy of Pediatrics. Am Fam Physician. 2001 May 1;63(9):1803-10.
PMID: 11352293BACKGROUNDJensen PS, Garcia JA, Glied S, Crowe M, Foster M, Schlander M, Hinshaw S, Vitiello B, Arnold LE, Elliott G, Hechtman L, Newcorn JH, Pelham WE, Swanson J, Wells K. Cost-effectiveness of ADHD treatments: findings from the multimodal treatment study of children with ADHD. Am J Psychiatry. 2005 Sep;162(9):1628-36. doi: 10.1176/appi.ajp.162.9.1628.
PMID: 16135621BACKGROUNDLachin JM, Foulkes MA. Evaluation of sample size and power for analyses of survival with allowance for nonuniform patient entry, losses to follow-up, noncompliance, and stratification. Biometrics. 1986 Sep;42(3):507-19.
PMID: 3567285BACKGROUNDLangberg JM, Froehlich TE, Loren RE, Martin JE, Epstein JN. Assessing children with ADHD in primary care settings. Expert Rev Neurother. 2008 Apr;8(4):627-41. doi: 10.1586/14737175.8.4.627.
PMID: 18416664BACKGROUNDLeslie LK, Weckerly J, Plemmons D, Landsverk J, Eastman S. Implementing the American Academy of Pediatrics attention-deficit/hyperactivity disorder diagnostic guidelines in primary care settings. Pediatrics. 2004 Jul;114(1):129-40. doi: 10.1542/peds.114.1.129.
PMID: 15231919BACKGROUNDLeslie LK, Wolraich ML. ADHD service use patterns in youth. J Pediatr Psychol. 2007 Jul;32(6):695-710. doi: 10.1093/jpepsy/jsm023. Epub 2007 Jun 7.
PMID: 17556401BACKGROUNDShaw M, Hodgkins P, Caci H, Young S, Kahle J, Woods AG, Arnold LE. A systematic review and analysis of long-term outcomes in attention deficit hyperactivity disorder: effects of treatment and non-treatment. BMC Med. 2012 Sep 4;10:99. doi: 10.1186/1741-7015-10-99.
PMID: 22947230BACKGROUNDPelham WE, Foster EM, Robb JA. The economic impact of attention-deficit/hyperactivity disorder in children and adolescents. J Pediatr Psychol. 2007 Jul;32(6):711-27. doi: 10.1093/jpepsy/jsm022. Epub 2007 Jun 7.
PMID: 17556402BACKGROUNDSchoenfeld DA. Sample-size formula for the proportional-hazards regression model. Biometrics. 1983 Jun;39(2):499-503.
PMID: 6354290BACKGROUNDXie H, McHugo G, Drake R, Sengupta A. Using discrete-time survival analysis to examine patterns of remission from substance use disorder among persons with severe mental illness. Ment Health Serv Res. 2003 Mar;5(1):55-64. doi: 10.1023/a:1021759509176.
PMID: 12602646BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Monique Does, Project manager
- Organization
- Kaiser Permanente Division of Research
Study Officials
- PRINCIPAL INVESTIGATOR
Cynthia I Campbell, PhD
Kaiser Permanente
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 13, 2014
First Posted
March 24, 2014
Study Start
March 1, 2014
Primary Completion
August 1, 2015
Study Completion
August 1, 2015
Last Updated
July 17, 2017
Results First Posted
July 17, 2017
Record last verified: 2017-06