Evidence map›Paper›PMID 41074199›Full record

ArticleImplementation science communications2025

Tracking implementation determinants over time using the IFASIS: multi-site analysis of opioid treatment programs implementing a digital contingency management platform.

Allyson L Dir, Briana M Patrick, Sarah Salino, Kira DiClemente-Bosco, Sara J Becker

Abstract read
In one paragraph

Article in Implementation science communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Allyson L DirDepartment of Psychiatry, Indiana University School of Medicine, 410 W 10th Street, Indianapolis, IN, 46201, USA. adir@iu.edu.ORCID http://orcid.org/0000-0002-6004-4692
Briana M PatrickStanford Center for Dissemination and Implementation at Stanford University School of Medicine, 1070 Arastradero Rd., Suite 375, Palo Alto, CA, 94304, USA.
Sarah SalinoCenter for Dissemination and Implementation Science, Northwestern Feinberg School of Medicine, 633 N St Clair Street, Chicago, IL, 60611, USA.
Kira DiClemente-BoscoCenter for Dissemination and Implementation Science, Northwestern Feinberg School of Medicine, 633 N St Clair Street, Chicago, IL, 60611, USA.
Sara J BeckerCenter for Dissemination and Implementation Science, Northwestern Feinberg School of Medicine, 633 N St Clair Street, Chicago, IL, 60611, USA.

Funding

Transforming health equity rhetoric to rigor: Development and validation of a novel measure assessing health equity in implementation of health interventionsP50DA054072 · NIDA · STANFORD UNIVERSITY · PI Joseph Edwin Glass · 2022 to 2026
$18.1M
The role of cross-system collaboration in implementation of evidence-based substance use practices in child welfareK23DA055210 · NIDA · INDIANA UNIVERSITY INDIANAPOLIS · PI Allyson Lindsae Dir · 2023 to 2026
$661k
NIDA NIH HHS K23 DA055210NIDA NIH HHS K23DA055210-01NIDA NIH HHS P50 DA054072NIDA NIH HHS P50DA054072
6 · The paper itself

Abstract

backgroundContingency management (CM) is the most effective treatment for stimulant use, but is underutilized due to implementation challenges. Digital CM platforms have shown promise in addressing barriers to implementation, but there is limited understanding of factors impacting delivery of a digital CM platform over time. The goal of this longitudinal study was to measure change in implementation determinants affecting uptake of a digital CM platform in opioid treatment programs (OTPs) for individuals who are stimulant users. The study used a novel assessment tool called the Inventory of Factors Affecting Successful Implementation and Sustainment (IFASIS) to compare implementation determinants across OTPs and measure changes in determinants over a 6-month implementation period.

methodsFive OTPs in Rhode Island completed the IFASIS prior to and 6 months into implementation of a digital CM platform. OTP staff completed the IFASIS as a team. Twenty-seven items measuring external context, internal context, intervention factors, and recipient factors were each rated on the impact of the factor on implementation (scores 1-2 = barrier, 3 = neutral, 4-5 = facilitator) and the importance of the factor (1 = not important to 3 = very important). Teams also verbalized the rationale for their ratings. Interviews were recorded and transcribed for rapid qualitative analysis. Quantitative ratings were recorded and median scores for each item were calculated.

resultsInternal organizational factors such as leadership commitment to implementation and organizational policies were perceived as becoming greater barriers to implementation over time. Staff capacity was perceived as a stable facilitator across sites despite sites experiencing turnover and new hires from baseline to follow-up. Despite initial perceptions of recipient and intervention factors as facilitators, these factors were generally viewed as neutral or as barriers at follow-up. Staff comments revealed unanticipated challenges in referring and engaging patients that contributed to the shift in their ratings. DISCUSSION: Findings underscore the complex and dynamic nature of implementation determinants and highlight the importance of monitoring recipient and intervention factors when implementing digital CM platforms. Results of this study suggest the need to help OTP staff set realistic expectations about the implementation process, particularly with regard to the ease of identifying and engaging patients.

Indexed as

Contingency managementDigital contingency managementImplementation determinantsMixed methodsQualitative analysisSubstance use

Identifiers

PMID41074199
PMCPMC12512249

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.