Evidence map›Paper›PMID 39020427›Full record

ArticleImplementation science communications2024

Spanish translation of the Expert Recommendations for Implementing Change (ERIC) compilation.

Amelia E Van Pelt, Alejandra Paniagua-Avila, Amanda Sanchez, Stephanie Sila, Elizabeth D Lowenthal, Byron J Powell, Rinad S Beidas

Abstract read
In one paragraph

Article in Implementation science communications, 2024. 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

7 authors.

Amelia E Van PeltDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 N Michigan Ave Suite 2100, Chicago, IL, 60611, USA. amelia.vanpelt@northwestern.edu.ORCID http://orcid.org/0000-0002-5671-7479
Alejandra Paniagua-AvilaDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York City, NY, 10032, USA.
Amanda SanchezDepartment of Psychology, George Mason University, 4400 University Dr, Fairfax, VA, 22030, USA.
Stephanie SilaSchool of Veterinary Medicine, University of Pennsylvania, 3800 Spruce Street, Philadelphia, PA, 19104, USA.
Elizabeth D LowenthalGlobal Health Center, Children's Hospital of Philadelphia, 734 Schuylkill Avenue, Philadelphia, PA, 19146, USA.
Byron J PowellBrown School, Center for Mental Health Services Research, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Rinad S BeidasDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 N Michigan Ave Suite 2100, Chicago, IL, 60611, USA.

Funding

RESEARCH TRAINING PROGRAM IN PSYCHIATRIC EPIDEMIOLOGYT32MH013043 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Katherine M. Keyes · 1985 to 2026
$11.7M
NIMH NIH HHS T32 MH013043
6 · The paper itself

Abstract

backgroundMost implementation science resources (e.g., taxonomies) are published in English. Linguistic inaccessibility creates a barrier to the conduct of implementation research among non-English-speaking populations, so translation of resources is needed. Translation into Spanish can facilitate widespread reach, given the large proportion of Spanish speakers around the world. This research aimed to systematically translate the Expert Recommendations for Implementation Change (ERIC) compilation into Spanish as an exemplar for the linguistic translation process.

methodsUsing the World Health Organization guidelines, this work translated the ERIC compilation strategy names, short definitions, and thematic clusters through a three-step process: 1) forward translation into Spanish by a native Spanish-speaking implementation scientist, 2) back-translation into English by a bilingual global health researcher, and 3) piloting via virtual focus group discussions with bilingual researchers not conducting implementation research. To achieve a generalizable translation, recruitment targeted a multicultural group of Spanish-speaking researchers. At the conclusion of each step, the transdisciplinary research team (N = 7) met to discuss discrepancies and refine translations. The Spanish version of the ERIC compilation was finalized through group consensus. Reflections from research team meetings and focus group discussions were synthesized qualitatively.

resultsGiven that dialectical nuances exist between Spanish-speaking regions, efforts prioritized universally accepted terminology. Team discussions focused on difficult translations, word choice, and clarity of concepts. Seven researchers participated in two focus groups, where discussion surrounded clarity of concepts, alternative word choice for Spanish translations, linguistic formality, grammar, and conciseness. Translation difficulties highlighted lack of precision in implementation science terminology, and the lack of conceptual clarity of words underscored limitations in the application of the compilation.

conclusionsThe work demonstrated the feasibility of translating implementation science resources. As one of the first systematic efforts to translate implementation resources, this study can serve as a model for additional efforts, including translation into other languages and the expansion to conceptual modifications. Further, this work yielded insights into the need to provide conceptual clarity in implementation science terminology. Importantly, the development of Spanish resources will increase access to conduct implementation research among Spanish-speaking populations.

Indexed as

ERIC compilationGlobal healthImplementation scienceImplementation strategiesSpanishTranslation

Identifiers

PMID39020427
PMCPMC11253493

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.