Accelerating collaborative, cumulative, and open intervention science with an e-intervention authoring platform

通过电子干预创作平台加速协作、累积和开放的干预科学

• 批准号: 10405655
• 负责人: STEVEN J. ONDERSMA
• 金额: $ 34.27万
• 依托单位: MICHIGAN STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10405655
• 关键词: Address; Adult; Apple; Area; Behavior; Behavior Therapy; Behavioral; Benchmarking; Budgets; Cessation of life; Characteristics; Code; Collaborations; Computer software; Computers; Consumption; Development; Documentation; Eating; Ecosystem; Electronic Health Record; Elements; Ensure; Evaluation; Evidence based intervention; Fast Healthcare Interoperability Resources; Funding; Future; Health behavior; Heterogeneity; Human; Intervention; Intervention Studies; Interview; Intuition; Investments; Language; Machine Learning; Measurement; Methods; Modification; National Institute of Biomedical Imaging and Bioengineering; Operating System; Outcome; Persons; Population; Process; Public Health Informatics; Publications; Research; Research Personnel; Resources; Risk; SMART health; Sample Size; Sampling; Science; Scientist; Smoking; Support System; System; Technology; Testing; Time; Training; Training Support; Translations; Treatment Efficacy; Unhealthy Diet; United States National Institutes of Health; Work; alcohol misuse; base; behavioral health; brief intervention; burden of illness; comparison intervention; computerized; cost; design; diet and exercise; evidence base; experience; flexibility; good diet; handheld mobile device; healthy weight; interest; interoperability; intervention delivery; intervention effect; mHealth; medication compliance; mobile application; mobile computing; open data; open source; prevent; reduced substance use; repository; response; sedentary lifestyle; software development; substance use; symposium; tailored messaging; therapy design; therapy development; tool; user centered design; virtual; web site

Background. Research has identified a wide range of evidence-based interventions for key behavioral health risks such as poor diet, smoking, unhealthy alcohol use, or a sedentary lifestyle. However, to be truly successful, behavioral intervention science should fulfill at least three key criteria: (1) demonstration of cumulative increases in intervention efficacy; (2) provision of interventions that reach a high proportion of those in need; and (3) demonstration of a meaningful population impact/reduction in disease burden. It currently meets none of these. Some reasons for this include (1) over-reliance on an imprecise delivery mechanism (people; usually therapists or coaches of some kind) that is difficult to train to fidelity on a large scale, and that cannot be manipulated with precision; (2) use of sample sizes that may be far below what is needed to accurately characterize heterogeneity of response; and (3) cross-study variability in therapist characteristics, sample characteristics, and measurement strategy. All of this combines to create a science that lacks evidence of cumulative improvements upon prior benchmarks. Proposed solution. Mobile technology shows significant promise as an intervention delivery mechanism that is replicable, transparent, modular, and precise. However, progress in the development and implementation of mobile interventions has been slowed by factors such as the tremendous time and money needed to develop an intervention; limitations in cross-platform compatibility and interoperability; and lack of a consistent system around which to collaborate. To address these needs, the PI developed the Computerized Intervention Authoring System (CIAS), which facilitates behavioral intervention science by allowing investigators to directly develop sophisticated and interactive mobile applications without programming. CIAS is already being used by investigators outside of the PI’s own lab, a process that has revealed significant interest in this software from a wide range of NIH-funded investigators, as well as significant limitations. Current aims. The proposed application will address these limitations, making CIAS into a significant, open-source, and virtually unique non-commercial research resource. In Aim 1, we will engage in sustained user experience testing designed to make the tool far more intuitive to use. This process is expected to result in a dramatic reorganization of the investigator interface, as well as in a complete set of evidence-based user training and support materials. In Aim 2, we will add a range of features and capabilities to make CIAS more powerful, flexible, and interoperable (e.g., by building to SMART Health IT standards, as well as FHIR open specifications to facilitate integration with Electronic Health Records). In Aim 3, we will engage in focused efforts to promote the use of CIAS as part of multi-lab collaborations using open science practices (e.g., via integration with the Open Science Framework). Importantly, we will engage in all of the above with the assistance of a highly accomplished panel of advisors who will help ensure that the final product is broadly relevant, future-facing, and usable to a broad range of behavioral scientists.

背景。研究已经确定了一系列以证据为基础的关键行为健康干预措施