Evidence map›Paper›PMID 24905070›Full record

ReviewJournal of medical Internet research2014

The behavioral intervention technology model: an integrated conceptual and technological framework for eHealth and mHealth interventions.

David C Mohr, Stephen M Schueller, Enid Montague, Michelle Nicole Burns, Parisa Rashidi

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04812665 (Feasibility Study of Digital Health for Caregivers Emotional and Self-management Support of Children Receiving Growth Hormone Treatment), which is not on this map. Cited by 277 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
277citing papers in PubMed, 15 pooled it
25.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04812665 completednot on this mapstarted 2021, after this paper: background citation

Feasibility Study of Digital Health for Caregivers Emotional and Self-management Support of Children Receiving Growth Hormone Treatment

TypeobservationalSponsorAdhera Health, Inc.Ran2021 to 2022Enrolled65ConditionsEmotional Adjustment, Mood DisturbanceArmsmHealth solution based on emotional and behavioral change techniques
3 · Its place in the literature

Who cites it

277 citing papers in PubMed, 15 syntheses or guidelines pooled it, 533 citations in OpenAlex.

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217 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

David C MohrCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Northwestern University, Chicago, IL, United States. d-mohr@northwestern.edu.
Stephen M Schueller
Enid Montague
Michelle Nicole Burns
Parisa Rashidi
General Department of Preventive Medicine · VNBehavioral Tech · USNorthwestern University · USUniversity of Florida · US

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTIAAN LEEUWENBURGH · 2007 to 2026
$22.8M
Technology Assisted intervention for the Treatment and Prevention of DepressionP20MH090318 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MOHR, DAVID CURTIS · 2011 to 2015
$4.7M
Stepped Telemental Health Care Intervention for DepressionR01MH095753 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MOHR, DAVID CURTIS · 2012 to 2016
$3.4M
Artificial Intelligence in a Mobile Intervention for Depression (AIM)R01MH100482 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MOHR, DAVID CURTIS · 2013 to 2017
$3.1M
Mobile Intervention to Engage Patients and Providers in Antidepressant TreatmentR34MH095907 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MOHR, DAVID CURTIS · 2012 to 2014
$686k
NIA NIH HHS P30 AG028740NIMH NIH HHS P20 MH090318NIMH NIH HHS P20MH090318NIMH NIH HHS R01 MH095753NIMH NIH HHS R01MH095753NIMH NIH HHS R01 MH100482NIMH NIH HHS R01MH100482NIMH NIH HHS R34 MH095907NIMH NIH HHS R34MH095907
6 · The paper itself

Abstract

A growing number of investigators have commented on the lack of models to inform the design of behavioral intervention technologies (BITs). BITs, which include a subset of mHealth and eHealth interventions, employ a broad range of technologies, such as mobile phones, the Web, and sensors, to support users in changing behaviors and cognitions related to health, mental health, and wellness. We propose a model that conceptually defines BITs, from the clinical aim to the technological delivery framework. The BIT model defines both the conceptual and technological architecture of a BIT. Conceptually, a BIT model should answer the questions why, what, how (conceptual and technical), and when. While BITs generally have a larger treatment goal, such goals generally consist of smaller intervention aims (the "why") such as promotion or reduction of specific behaviors, and behavior change strategies (the conceptual "how"), such as education, goal setting, and monitoring. Behavior change strategies are instantiated with specific intervention components or "elements" (the "what"). The characteristics of intervention elements may be further defined or modified (the technical "how") to meet the needs, capabilities, and preferences of a user. Finally, many BITs require specification of a workflow that defines when an intervention component will be delivered. The BIT model includes a technological framework (BIT-Tech) that can integrate and implement the intervention elements, characteristics, and workflow to deliver the entire BIT to users over time. This implementation may be either predefined or include adaptive systems that can tailor the intervention based on data from the user and the user's environment. The BIT model provides a step towards formalizing the translation of developer aims into intervention components, larger treatments, and methods of delivery in a manner that supports research and communication between investigators on how to design, develop, and deploy BITs.

Indexed as

Behavior TherapyHealth BehaviorTelemedicineHumansInternetModels, PsychologicalResearch Designbehavioral intervention technologyehealthmhealth

Identifiers

PMID24905070
PMCPMC4071229
OpenAlexW1999948915

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.