Hopkins PSMG Meeting Randomized Designs for Person, Place, and Time For Effectiveness Trials and Beyond C Hendricks Brown University of South Florida Peter.

Slides:



Advertisements
Similar presentations
Andrea M. Landis, PhD, RN UW LEAH
Advertisements

When Should a Clinical Trial Design with Pre-Stratification be Used? Group 1.
Agency for Healthcare Research and Quality (AHRQ)
Synthesizing the evidence on the relationship between education, health and social capital Dan Sherman, PhD American Institutes for Research 25 February,
Parent Connectors: An Evidence-based Peer-to-Peer Support Program Albert J. Duchnowski, Ph.D. Krista Kutash, Ph.D. University of South Florida Federation.
Comparator Selection in Observational Comparative Effectiveness Research Prepared for: Agency for Healthcare Research and Quality (AHRQ)
Parent-Child Interaction in School Aged Children with SLI. By Jessica Allen & Chloe Marshall.
Company LOGO Randomized Trial of a Gatekeeper Program for Suicide Prevention: 1-Year Impact on Secondary School Staff Peter A. Wyman C. Hendricks Brown.
KINE 4565: The epidemiology of injury prevention Randomized controlled trials.
Bullying Prevention Catherine Bradshaw, Ph.D., M.Ed. Johns Hopkins Center for the Prevention of Youth Violence (CDC) Johns Hopkins Center for Prevention.
Teenage conceptions in Wales The challenge of intervention and evaluation.
Copyright restrictions may apply JAMA Pediatrics Journal Club Slides: Improving Parenting Skills Perrin EC, Sheldrick RC, McMenamy JM, Henson BS, Carter.
SMART Experimental Designs for Developing Adaptive Treatment Strategies S.A. Murphy ISCTM, 2007.
Outcomes Research on School Counseling Interventions and Programs
1. 2 Implementing and Evaluating of an Evidence Based Nursing into Practice Prepared By Dr. Nahed Said El nagger Assistant Professor of Nursing H.
Statistics for Health Care
Unit 4: Monitoring Data Quality For HIV Case Surveillance Systems #6-0-1.
Experimental Study.
Single-Subject Designs
An Introduction to Operations Research and Implementation Science or How can I make my (all) health programs better? Mark Micek, MD, MPH.
Community Planning Training 1-1. Community Plan Implementation Training 1- Community Planning Training 1-3.
17 June, 2003Sampling TWO-STAGE CLUSTER SAMPLING (WITH QUOTA SAMPLING AT SECOND STAGE)
BC Jung A Brief Introduction to Epidemiology - XI (Epidemiologic Research Designs: Experimental/Interventional Studies) Betty C. Jung, RN, MPH, CHES.
Tobacco Control Interventions – Design Trade-Offs K. S. (Steve) Brown Department of Statistics and Actuarial Science Health Behaviour Research Group University.
STUDY PLANNING & DESIGN TO ENHANCE TRANSLATION OF HEALTH BEHAVIOR RESEARCH Lisa Klesges, Russell Glasgow, Paul Estabrooks, David Dzewaltowski, Sheana Bull.
Copyright © 2011 Wolters Kluwer Health | Lippincott Williams & Wilkins Chapter 14 Screening and Prevention of Illnesses and Injuries: Research Methods.
Lecture 16 (Oct 28, 2004)1 Lecture 16: Introduction to the randomized trial Introduction to intervention studies The research question: Efficacy vs effectiveness.
What is a Clinical Trial (alpha version) John M. Harris Jr., MD President Medical Directions, Inc.
Study Design. Study Designs Descriptive Studies Record events, observations or activities,documentaries No comparison group or intervention Describe.
Sampling Techniques LEARNING OBJECTIVES : After studying this module, participants will be able to : 1. Identify and define the population to be studied.
KENTUCKY YOUTH FIRST Grant Period August July
Statistics for Health Care Biostatistics. Phases of a Full Clinical Trial Phase I – the trial takes place after the development of a therapy and is designed.
Evidence-based and Ethical Practice in Rehabilitation for TBI and Polytrauma James F. Malec, PhD, ABPP-Cn,Rp Research Director Rehabilitation Hospital.
Research Study Design. Objective- To devise a study method that will clearly answer the study question with the least amount of time, energy, cost, and.
Some terms Parametric data assumptions(more rigorous, so can make a better judgment) – Randomly drawn samples from normally distributed population – Homogenous.
Improving the Implementation of Evidence-based Programs That Respond to Community and Research Needs C Hendricks Brown, U Miami Patti Chamberlain, Ctr.
Consumer behavior studies1 CONSUMER BEHAVIOR STUDIES STATISTICAL ISSUES Ralph B. D’Agostino, Sr. Boston University Harvard Clinical Research Institute.
Hopkins PSMG Oct An Incomplete Model for Trial Designs for Moving to Scale: The Whole Day Program C Hendricks Brown Sheppard Kellam Jeanne Poduska.
Effects of a Universal Prevention Program in First and Second Grade Classrooms on Young Adult Problem Outcomes: Implications for Research, Prevention and.
Plymouth Health Community NICE Guidance Implementation Group Workshop Two: Debriding agents and specialist wound care clinics. Pressure ulcer risk assessment.
SS440 Seminar: Unit 4 Research in Psychopathology Dr. Angie Whalen Kaplan University 1.
1 Copyright © 2011 by Saunders, an imprint of Elsevier Inc. Chapter 8 Clarifying Quantitative Research Designs.
Scientific Process METHODS Question to Experimental Design to Data Analysis.
EXPERIMENTAL EPIDEMIOLOGY
Research Methods in Health Psychology Chapter 2. Science Science is not a thing in and of itself. It is a set of methods used to understand natural phenomena.
 Getting Outside of the Box: Designing and Implementing Innovative Ways to Prevent Infection Willo Pequegnat, Ph.D., Salix Health Consulting/USAID Susan.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 4 Designing Studies 4.2Experiments.
Framework of Preferred Evaluation Methodologies for TAACCCT Impact/Outcomes Analysis Random Assignment (Experimental Design) preferred – High proportion.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 10 Comparing Two Groups Section 10.1 Categorical Response: Comparing Two Proportions.
Sample Size Determination
Handbook for Health Care Research, Second Edition Chapter 7 © 2010 Jones and Bartlett Publishers, LLC CHAPTER 7 Designing the Experiment.
Statistical Randomization Tests: Issues and Applications Randomization Tests versus Permutation Tests Randomization Tests versus Permutation Tests Test.
1 Research Methods in Child Psychopathology Carolyn R. Fallahi, Ph. D.
Standards of Evidence for Prevention Programs Brian R. Flay, D.Phil. Distinguished Professor Public Health and Psychology University of Illinois at Chicago.
Study Design: Making research pretty Adam P. Sima, PhD July 13, 2016
HPTN 071 (PopART): Have we reached the targets after two years of the PopART intervention IAS Paris July 2017 Richard Hayes.
Sample Size Determination
Monitoring and Evaluation Frameworks
The Research Design Continuum
Using Observation to Enhance Supervision CIMH Symposium Supervisor Track Oakland, California April 27, 2012.
Novak, M., Mihic, J. Basic, J., Nix, R.L.
Clinical Studies Continuum
CHAPTER 4 Designing Studies
Hannah E. Frank, Lisa Saldana, Philip C. Kendall, Holle Schaper
Richard hayes London school of hygiene & Tropical Medicine
Research Methods: Concepts and Connections First Edition
Cheryl Holton, Program Director
The CIT Model: Can We Call It Evidence-Based?
Detecting Treatment by Biomarker Interaction with Binary Endpoints
How Should We Select and Define Trial Estimands
Presentation transcript:

Hopkins PSMG Meeting Randomized Designs for Person, Place, and Time For Effectiveness Trials and Beyond C Hendricks Brown University of South Florida Peter Wyman U Rochester Jing Guo USF Juan Peña U Rochester

Hopkins PSMG Meeting Support R01-MH40859 (Brown) Methodology for Mental Health / Drug Abuse Prevention & Early Intervention Designs & Analyses for Mental Health Preventive Trials NIMH and NIDA 3R01MH S1 (Brown) Methodology for Population-Based Approaches to the Prevention of Suicide NIMH Office of Rare Diseases CDC Injury Prevention Center R34MH (Wyman) RCT of Gatekeeper Training for Suicide Prevention NIMH P20MH (Caine) Developing Center On Public Health and Population Interventions For The Prevention Of Suicide NIMH

Hopkins PSMG Meeting Brown C.H., Wyman P. A., Guo J, and Peña J. (2005). Dynamic wait-listed designs for randomized trials: New designs for prevention of youth suicide. Submitted for publication.

Hopkins PSMG Meeting Outline A.Types of Scientific Questions B.Typology of Trials Matching these Questions C.Randomization involving Person, Place, and Time D.Dynamic Wait-Listed Design for suicide prevention E.Randomizations of Person/Place/Time

Hopkins PSMG Meeting A. Types of Questions: Phases of prevention

Hopkins PSMG Meeting Do we need random assignment as we move to effectiveness and beyond? Nonrandomized designs Blueprints Project U Colorado Denver Alternative Study Designs for Evidence- based Practice: Harnessing Natural Variation for Effectiveness Research Agency for Healthcare Research and Quality (AHRQ),

Hopkins PSMG Meeting Prevention Field Trials Needed to Determine Precise Information about What Works For Whom Under What Conditions Because …

Hopkins PSMG Meeting There are very few Broad Street Pump Handles Left to Remove John Snows Map of London

Hopkins PSMG Meeting To Obtain Precise Answers Need to rely on Very Carefully Designed Intervention Studies Random Assignment needed, In novel ways ……

Hopkins PSMG Meeting B. Typology of Research Questions/Designs 1)Efficacy – Impact in optimally controlled settings 2)Effectiveness – Impact in real world settings 3)Implementability – What level of intervention produces what level of impact; what does it take to implement? 4)Adaptability – How does variation in intervention delivered affect impact? 5)Extensibility – What impact is achieved when delivered to different persons/settings? 6)Sustainability – Does impact continue after training ? 7)Scalability– What impact is achieved when the intervention is expanded system wide, or in larger contexts? 8)Disseminability/ Adoptability – What interventions are effective in having new communities adopt such a program?

Hopkins PSMG Meeting Extensibility Trials Selection Bias -- ASU Braver Participation Bias – UM, ASU, GW Price/Vinokur/Sandler/Howe -- U Miami Szapocznik

Hopkins PSMG Meeting Three Stages of a Trial Design Adapted from Brown & Liao, 1999 Pre-Intervention Design Intervention Design Post-Intervention Design

Hopkins PSMG Meeting Extensibility Trials Participation Trials Can participation be increased and if so, how do these people benefit compared to those who would normally have participated?

Hopkins PSMG Meeting Extensibility Trial with Two Randomizations Trial Inside a Trial U Michigan, GW Sample InterventionControl Routine Intensity High Intensity Randomize Randomize to Invitation Measure Participation and Measure Outcomes Model Participation and Measure Outcomes Can participation be increased, and if so, how do these people benefit compared to those who would normally have participated?

Hopkins PSMG Meeting Newer Examples of Experimental Manipulations Extensibility Trial – Intervening to Increase Participation Effectiveness Trial -- Combinations of Intervention Components Sustainability Trial – Schedule for Supervision of a defined intervention Scalability Trial – Systems level intervention

Hopkins PSMG Meeting C. A General Framework for Randomizing Using Person Place, and Time Person Place Time

Hopkins PSMG Meeting Three Descriptive Epidemiologic Concepts Viewed Three Different Ways

Hopkins PSMG Meeting Units that can be Randomly Assigned in a Trial Persons – Inclusion/Exclusion Criteria Places/Groups – Random assignment at the group level Group/Cluster Randomized Trials- Murray Place-Based Randomized Trials -- Boruch Time -- when to intervene

Hopkins PSMG Meeting Person Level Assignments Persons Target Population Inclusion / Exclusion Criteria Universal, Selective, Indicated, Treated Extensibility Trials: Does intervention work effectively for Prevention Lower risk subjects? Less likely to be identified or participate? Treatment Placebo Nonresponders? Genetic Risk?

Hopkins PSMG Meeting Place-Based Randomized Trials Places/Groups – Classroom, Schools, Child Welfare Settings, MH/Drug Abuse Clinics Schools -- Sloboda 88 HSs New DARE 7 th & 9 th Classrooms within Schools – Balt Prev Pgm Brown & Liao (1999) Am J Commun Psychol Rural Communities – PROGRESA, Mexico

Hopkins PSMG Meeting Time Assignments Time -- when to intervene Wait-listed design: Half initially half later Crossover Design A-B B-A Multiple Baseline Designs

Hopkins PSMG Meeting Time (Persons) Randomized Clinical Trial with Blocking on Time A B B A A B B A A B A B

Hopkins PSMG Meeting Person-Place Randomizations Interventions at Two Levels Example: Linking Classroom Prevention and an individually based Service Intervention within Schools

Hopkins PSMG Meeting Person/Place UnitCombinations of Interventions SchoolAssign Available Services No Available Services Classrm UniversalNo Universal UniversalNo Universal Child Moderate High Moderate High Moderate High Moderate High

Hopkins PSMG Meeting Place and Time Group Based, Wait-Listed Design Group Based, Multiple Baseline Design

Hopkins PSMG Meeting Randomization in Place and Time: D. Dynamic Wait-Listed Designs Divide a set of schools into replicates Randomly assign WHEN a replicate converts from wait-listed to active intervention Brown et al. (under review) Wyman, Brown Ga Gatekeeper Trial: NIMH

Hopkins PSMG Meeting Randomization in Place and Time: School-Based Gatekeeper Training for Suicide Prevention QPR: (Quinnett, 1995): Question a person (showing warning signs) about suicide Persuade the person to get help Refer the person to the appropriate resource Identify recognizable behaviors (threats of suicide) Develop knowledge and skills to take action

Hopkins PSMG Meeting Primary Endpoint Rate of referral of youth by school staff for suicidality QPR should Increase rate of referral in those schools that have been trained Maintain this increase rate over the study

Hopkins PSMG Meeting Prevalence of Suicidal Behavior in Middle and High School

Hopkins PSMG Meeting Proportion of Suicidal Attempters Identified by School System 6%

Hopkins PSMG Meeting Probability that a Single Staff Member Would be able to Identify and Refer a Suicidal Child 0.03%

Hopkins PSMG Meeting Probability of Referral as Function of Proportion Trained and Training Effectiveness

Hopkins PSMG Meeting Comparison of Classic versus Dynamic Wait-Listed Designs Standard Wait-List Design Half are assigned immediately, half later Dynamic Wait-Listed Design Divide into replicates, then assign intervention or wait-listed control within each replicate Train in 1 st replicate early intervention schools, then in 2 nd replicate, etc.

Hopkins PSMG Meeting Classic and Dynamic Wait-Listed Design

Hopkins PSMG Meeting Comparing Power of Classic vs Dynamic Wait-Listed Design Assumptions Poisson Rates of Referral that vary randomly over time but are proportional to time interval Intervention Effect is Linear on the rate General least squares analysis Efficiency in Asymptotic Variance fctn of Intervals 2 / (Intervals 2 – 1) 3 18% 4 25% Limit 33%

Hopkins PSMG Meeting More Realistic Setting Poisson counts for each interval with a varying multiplicative rate parameter that has a Gamma distribution Log-Linear model for intervention impact Maximum likelihood analysis

Hopkins PSMG Meeting Efficiency Increases with Number of Time Blocks and Low Variability in Rates over Time

Hopkins PSMG Meeting Recommendation for the Current Trial Currently completed first half of trial with half receiving intervention, half wait-listed. Switch to a dynamic wait-listed design in the second phase, 4 groups of 4 schools

Hopkins PSMG Meeting Added Power from Dynamic Wait Listed Design

Hopkins PSMG Meeting E. Randomizations involving Person Place and Time Timing of Multi Level Interventions Testing of Intervention in the Presence of Gene by Environment Interactions

Hopkins PSMG Meeting Timing of Universal Classroom and Individual Level Interventions

Hopkins PSMG Meeting Serotonin Transporter Gene SLC6A4 Long and Short Forms Short form associated with increased depression, bipolar disorder, violent suicide Low CSF serotonin occurs among short allele monkeys who are raised in deprived environments, but not in mother raised environments

Hopkins PSMG Meeting Comparison of Interventions for Those with Genetic Risk (Short Alleles)

Hopkins PSMG Meeting Summary For Effectiveness Trials and Beyond Often Dictated by Community Needs Everyone Gets This by a Certain Date Randomization involving TIME Dynamic Wait-Listed Designs are Efficient Newer Designs often require randomization involving 2 or 3 of PERSON, PLACE, and TIME