Optimization of behavioral, biobehavioral, and biomedical interventions : the Multiphase Optimization Strategy (MOST) / Linda M. Collins.

Format:

Book

Author/Creator:

Collins, Linda M., author.

Contributor:

Michael K. Schaefer Fund.

ProQuest ebook central.

Series:

Statistics for social and behavioral sciences 2199-7357

Statistics for social and behavioral sciences, 2199-7357

Language:

English

Subjects (All):

Medical statistics.

Mathematical optimization.

Physical Description:

1 online resource (xxxi, 297 pages) : illustrations (some color).

polychrome

Place of Publication:

Cham, Switzerland : Springer, 2018.

System Details:

text file PDF

Contents:

Intro; Preface; A Vision for the Future; A Brief Comparison of the Classical Approach and MOST; How MOST Has Been Developed So Far; Some Examples of Implementations of MOST; Objective and Chapters; Intended Audiences and How to Use This Book; Interventions in Different Domains; Additional Resources; Acknowledgments; Concluding Remarks; References; Contents; Chapter 1: Conceptual Introduction to the Multiphase Optimization Strategy (MOST); 1.1 Introduction; 1.1.1 An Approach Inspired by Ideas From Engineering; 1.1.2 The Objective: Optimized Rather Than Best.

1.1.3 The Kind of Information Needed for Optimization1.1.4 Using Research Resources Strategically to Obtain the Needed Information; 1.2 Optimizing an Intervention: A Brief Hypothetical Example; 1.2.1 The MOST Perspective; 1.2.2 Gathering the Information Needed to Optimize the Intervention; 1.2.3 From Experimental Results to Optimized Intervention; 1.3 Definition of Optimization of an Intervention; 1.3.1 Optimization Is a Process: The Continual Optimization Principle; 1.3.2 Four Desiderata: Effectiveness, Efficiency, Economy, and Scalability; 1.3.3 Trade-Offs Among the Desiderata.

1.4 The Resource Management Principle1.5 Some Differences Between the Classical and MOST Perspectives; 1.6 Definitions of Some Important Terms; 1.6.1 Design; 1.6.2 Component; 1.6.3 Multicomponent Interventions; 1.7 The MOST Framework: The Three Phases; 1.7.1 The Preparation Phase; 1.7.2 The Optimization Phase; 1.7.3 The Evaluation Phase; 1.8 Reasons for Returning to the Preparation Phase; 1.8.1 Returning to the Preparation Phase Immediately After the Optimization Phase; 1.8.2 Returning to the Preparation Phase After the Evaluation Phase; 1.9 The Distinction Between Optimization and Evaluation.

1.10 A Different Way of Thinking About Intervention Research: MOST-Induced Dilemmas1.11 WhatÂś Next; References; Chapter 2: The Preparation Phase of MOST; 2.1 The Conceptual Model: The ``EngineÂÁ̂ ́that Drives the Intervention; 2.1.1 Specifying the Conceptual Model; 2.1.2 Targeted Populations and Participant Heterogeneity; 2.2 Using a Figure to Represent a Conceptual Model; 2.2.1 A Hypothetical Example; 2.2.2 Tracing the Causal Chain; 2.3 Using the Conceptual Model to Select Outcome Variables for the Optimization and Evaluation Phases of MOST.

2.3.1 When the Outcome of Primary Interest Is Far in the Future2.4 The Living Conceptual Model; 2.5 Correspondence Between Components and Target Mediators; 2.5.1 The Granularity of Components; 2.6 Meta-Analysis and the Conceptual Model; 2.7 Including Moderation (Effect Modification) in a Figure Representing a Conceptual Model; 2.8 Why Bother With a Conceptual Model?; 2.9 The Role of Pilot Testing in MOST; 2.10 The Optimization Criterion; 2.10.1 Reasons for Identifying the Optimization Criterion in the Preparation Phase Rather Than the Optimization Phase.

Notes:

Includes bibliographical references and index.

Electronic reproduction. Ann Arbor, MI Available via World Wide Web.

Online resource; title from PDF title page (SpringerLink, viewed February 14, 2018).

Local Notes:

Acquired for the Penn Libraries with assistance from the Michael K. Schaefer Fund.

Other Format:

Print version: Collins, Linda M. Optimization of behavioral, biobehavioral, and biomedical interventions.

ISBN:

9783319722061

3319722069

Publisher Number:

99977436016

Access Restriction:

Restricted for use by site license.