Evidence map›Paper›PMID 42231352›Full record

ArticleImplementation science : IS2026

Implementation timelines across conditions: a universal Stages of Implementation Completion

Wambũi N Young, Joseph E Glass, Lisa Saldana

Abstract readComparative Study
In one paragraph

Article in Implementation science : IS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Wambũi N YoungChestnut Health Systems, Lighthouse Institute, Eugene, OR, 97401, USA.
Joseph E GlassChestnut Health Systems, Lighthouse Institute, Eugene, OR, 97401, USA.
Lisa SaldanaChestnut Health Systems, Lighthouse Institute, Eugene, OR, 97401, USA. lsaldana@chestnut.org.

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 Mark P McGovern · 2022 to 2026
$18.1M
Translational Drug Abuse Prevention CenterP50DA035763 · NIDA · OREGON SOCIAL LEARNING CENTER, INC. · PI CHAMBERLAIN, PATRICIA, FISHER, PHILIP A · 2013 to 2017
$9.5M
Community Development Teams to Scale-Up MTFC in CaliforniaR01MH076158 · NIMH · CENTER FOR RESEARCH TO PRACTICE, INC. · PI CHAMBERLAIN, PATRICIA · 2006 to 2011
$5.7M
The Stages of Implementation Completion for Evidence-Based PracticeR01MH097748 · NIMH · OREGON SOCIAL LEARNING CENTER, INC. · PI SALDANA, LISA · 2013 to 2016
$2.0M
BUILD IT: An Implementation Tool to Increase Access to Evidence-based Preventive Interventions for Opioid Use DisordersR61DA061718 · NIDA · CHESTNUT HEALTH SYSTEMS, INC. · PI Lisa Saldana · 2025 to 2026
$797k
NIDA NIH HHS P50 DA035763NIDA NIH HHS P50 DA054072NIDA NIH HHS R61 DA061718NIMH NIH HHS R01 MH076158NIMH NIH HHS R01 MH097748
6 · The paper itself

Abstract

backgroundDespite ongoing efforts, achieving consistent success in implementing evidence-based practices remains challenging due to diverse, context-specific implementation needs. This analysis examined the time required to implement practices currently represented in the Universal Stages of Implementation Completion

methodsImplementation outcomes were compared between research-led and real-world implementation conditions, representing 547 and 818 sites, respectively, across 43 program practices (i.e., interventions) in the Universal SIC repository. Descriptive analyses were conducted using data aggregated at the practice level to contrast implementation conditions. Intraclass Correlation Coefficients (ICC) from multilevel models (MLM) were calculated to compare outcome variation within and between practices. MLMs examined whether implementation condition was associated with SIC scores (proportion, duration, and Final Stage reached) and key implementation process outcomes (i.e., achieving practice Start-Up and Competency in practice delivery).

resultsIn aggregated descriptive analyses, research-led sites demonstrated slightly higher rates of practice Start-Up (48% vs. 42%) and Competency (41% vs. 36%), and faster pace in Phase 2 (mean difference = 322 days) than real-world sites. ICCs from unconditional multilevel models ranged from 0.31 to 0.62 across outcomes, confirming substantial variance attributable to between-practice differences. MLMs found few significant differences in outcomes between conditions. MLMs confirmed that research-led sites showed significantly shorter durations during Phase 2 (461 vs. 740 days, p = 0.02), and they additionally showed lower activity completion proportions in research sites (61% vs. 83%, p = 0.02) compared to real-world sites. MLMs found no significant differences between research-led and real-world sites in achieving program Start-Up or Competency in practice delivery.

conclusionsWhile real-world sites had longer Phase 2 durations than research sites, there were no differences in achieving Start-Up or Competency between the two implementation conditions. Low success rates (less than 50% of sites achieving practice Start-Up and Competency in both conditions) highlight shared implementation challenges across contexts and support unified SIC benchmarks to inform future implementations.

Indexed as

Evidence-Based PracticeImplementation ScienceHumansTime FactorsDiscontinuationReal-worldResearch-to-practice gapStages of implementation completion® (SIC)Time to implement

Identifiers

PMID42231352
PMCPMC13470951

What OpenQuestion holds

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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.