Evidence map›Paper›PMID 41522192›Full record

ArticleGlobal implementation research and applications2025

A Measurement Roadmap to Guide Implementation Practitioners in Selecting Implementation Measures.

Ruben G Martinez, Cara M Antonaccio, Margaret E Crane, E Ruby Cramer, Emily S Fu, Trisha Arnold, Hannah E Frank, Aden Littlewood, Linda E Guzman, Cintly Celis-de Hoyos and 1 more

Abstract read
In one paragraph

Article in Global implementation research and applications, 2025. 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
0cells of the map it votes in
0citing 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

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

11 authors.

Ruben G MartinezThe Warren Alpert Medical School of Brown University, Providence, USA.
Cara M AntonaccioThe Warren Alpert Medical School of Brown University, Providence, USA.
Margaret E CraneThe Warren Alpert Medical School of Brown University, Providence, USA.
E Ruby CramerThe Warren Alpert Medical School of Brown University, Providence, USA.
Emily S FuThe Warren Alpert Medical School of Brown University, Providence, USA.
Trisha ArnoldThe Warren Alpert Medical School of Brown University, Providence, USA.
Hannah E FrankThe Warren Alpert Medical School of Brown University, Providence, USA.
Aden LittlewoodThe Warren Alpert Medical School of Brown University, Providence, USA.
Linda E GuzmanThe Warren Alpert Medical School of Brown University, Providence, USA.
Cintly Celis-de HoyosThe Warren Alpert Medical School of Brown University, Providence, USA.
Bryan J WeinerUniversity of Washington, Seattle, USA.

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH, DEBBIE M. CHENG · 1998 to 2026
$51.7M
Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI KOGUT, STEPHEN J · 2016 to 2025
$45.0M
Training in Child/Adolescent Biobehavioral HIV ResearchT32MH078788 · NIMH · RHODE ISLAND HOSPITAL · PI LARRY K BROWN · 2007 to 2026
$6.2M
Project 3P50MH126219 · NIMH · UNIVERSITY OF WASHINGTON · PI WEINER, BRYAN J. · 2021 to 2024
$5.9M
IMPLEMENTATION RESEARCH INSTITUTE FOR MENTAL HEALTH SERVICES IRI-MHSR25MH080916 · NIMH · WASHINGTON UNIVERSITY · PI Byron James Powell · 2009 to 2026
$3.7M
Improving HIV Prevention Through a Psychological Flexibility-Based ApproachK23MH124539 · NIMH · RHODE ISLAND HOSPITAL · PI ARNOLD, TRISHA · 2021 to 2025
$969k
Postdoctoral Research Training in Pediatric Respiratory, Cardiovascular, and Sleep HealthT32HL176428 · NHLBI · RHODE ISLAND HOSPITAL · PI PHYLLIS A. DENNERY, Daphne Koinis Mitchell · 2025 to 2026
$564k
NHLBI NIH HHS T32 HL176428NIAID NIH HHS P30 AI042853NIGMS NIH HHS U54 GM115677NIMH NIH HHS K23 MH124539NIMH NIH HHS P50 MH126219NIMH NIH HHS R25 MH080916NIMH NIH HHS T32 MH078788
6 · The paper itself

Abstract

Strong measurement is critical for carrying out, monitoring, and evaluating implementation practice efforts. Accurate, reliable, and practical measures empower implementation teams to evaluate implementation outcomes and mechanisms of change. Poor measurement, however, is costly and impedes implementation practice. Despite substantial efforts to catalog and evaluate implementation measures, resources that guide the selection of measures are limited. As a result, practitioners still face challenges when identifying and selecting appropriate implementation measures. This paper addresses this gap by presenting a Measurement Roadmap, which offers a step-by-step guide and set of resources to help practitioners engage with the process of finding and evaluating measures for their implementation project. The Measurement Roadmap begins by detailing the importance of connecting measurement with implementation theories, models, and frameworks. Subsequently, recommendations for where and how to find measures are provided. The Measurement Roadmap provides practical explanations of psychometric properties and guides readers through a simple, three-step process for evaluating the face validity of a measure. Finally, the Measurement Roadmap provides guidance for navigating several possible paths that our team has traversed when identifying and selecting implementation measures: (1) finding an ideal measure, (2) finding a similar, but not perfectly aligned measure, (3) finding several measures that must be compared, and (4) finding no existing measures. We include a practitioner-focused handout of the Measurement Roadmap for quick reference.

Indexed as

Implementation measurementImplementation measuresImplementation practitionersPragmatic measures

Identifiers

PMID41522192
PMCPMC12781905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.