Evidence map›Paper›PMID 33097097›Full record

ArticleImplementation science : IS2020

NIATx-TI versus typical product training on e-health technology implementation: a clustered randomized controlled trial study protocol.

Veronica M White, Todd Molfenter, David H Gustafson, Julie Horst, Rachelle Greller, David H Gustafson, Jee-Seon Kim, Eric Preuss, Olivia Cody, Praan Pisitthakarm and 1 more

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in Implementation science : IS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03954184 (Testing of a Patient-centered E-health Implementation Model in Addiction Treatment), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 30% 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.

NCT03954184 nacompletednot on this map

Testing of a Patient-centered E-health Implementation Model in Addiction Treatment

TypeinterventionalSponsorUniversity of Wisconsin, MadisonRan2019 to 2023Enrolled23,659ConditionsSubstance Use DisordersArmsNIATx-TI with Product Training/On-line Support
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Veronica M WhiteDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Ave, Madison, WI, 53706, USA. vmwhite@wisc.edu.ORCID 0000-0002-3008-8213
Todd MolfenterDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Ave, Madison, WI, 53706, USA.
David H GustafsonDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Ave, Madison, WI, 53706, USA.
Julie HorstDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Ave, Madison, WI, 53706, USA.
Rachelle GrellerDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Ave, Madison, WI, 53706, USA.
David H GustafsonDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Ave, Madison, WI, 53706, USA.
Jee-Seon KimDepartment of Educational Psychology, University of Wisconsin-Madison, Educational Sciences, 1025 West Johnson St, Madison, WI, 53706-1706, USA.
Eric PreussDivision of Behavioral Health, Iowa Department of Public Health, Lucas State Office Building, 321 E. 12th Street, Des Moines, IA, 50319-0075, USA.
Olivia CodyDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Ave, Madison, WI, 53706, USA.
Praan PisitthakarmDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Ave, Madison, WI, 53706, USA.
Alexander ToyDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Ave, Madison, WI, 53706, USA.
University of Wisconsin–Madison · USIowa Department of Public Health · US

Funding

Testing of patient-centered e-health implementation model in addiction treatmentR01DA044159 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI GUSTAFSON, DAVID H, MOLFENTER, TODD DAVID · 2018 to 2022
$3.6M
NIDA NIH HHS 1R01DA044159-01A1NIDA NIH HHS R01 DA044159
6 · The paper itself

Abstract

backgroundSubstance use disorders (SUDs) lead to tens-of-thousands of overdose deaths and other forms of preventable deaths in the USA each year. This results in over $500 billion per year in societal and economic costs as well as a considerable amount of grief for loved ones of affected individuals. Despite these health and societal consequences, only a small percentage of people seek treatment for SUDs, and the majority of those that seek help fail to achieve long-term sobriety. E-health applications in healthcare have proven to be effective at sustaining treatment and reaching patients traditional treatment pathways would have missed. However, e-health adoption and sustainment rates in healthcare are poor, especially in the SUD treatment sector. Implementation engineering can address this gap in the e-health field by augmenting existing implementation models, which explain organizational and individual e-health behaviors retrospectively, with prospective resources that can guide implementation.

methodsThis cluster randomized control trial is designed to test two implementation strategies at adopting an evidence-based mobile e-health technology for SUD treatment. The proposed e-health implementation model is the Network for the Improvement of Addiction Treatment-Technology Implementation (NIATx-TI) Framework. This project, based in Iowa, will compare a control condition (using a typical software product training approach that includes in-person staff training followed by access to on-line support) to software implementation utilizing NIATx-TI, which includes change management training, followed by coaching on how to implement and use the mobile application. While e-health spans many modalities and health disciplines, this project will focus on implementing the Addiction Comprehensive Health Enhancement Support System (A-CHESS), an evidence-based SUD treatment recovery app framework. This trial will be conducted in Iowa at 46 organizational sites within 12 SUD treatment agencies. The control arm consists of 23 individual treatment sites based at five organizations, and the intervention arm consists of 23 individual SUD treatment sites based at seven organizations DISCUSSION: This study addresses an issue of substantial public health significance: enhancing the uptake of the growing inventory of patient-centered evidence-based addiction treatment e-health technologies.

trial registrationClinicalTrials.gov , NCT03954184 . Posted 17 May 2019.

Indexed as

Behavior, AddictiveBiomedical TechnologyHumansProspective StudiesRandomized Controlled Trials as TopicRetrospective StudiesTechnologyCoachingEvidence-based practice implementationMobile technologySubstance use disorder treatmentTechnology implementation model

Identifiers

PMID33097097
PMCPMC7582427
OpenAlexW3094174505

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.