ArticleImplementation science communications2022
Perceived communication effectiveness in implementation strategies: a measurement scale.
Article in Implementation science communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Bridging functional bionanomaterials and the clinic: strategic communication as a translational enabler.Journal of nanobiotechnology · 2026Review
- Gaps in communication theory paradigms when conducting implementation science research: qualitative observations from interviews with administrators, implementors, and evaluators of rural health programs.Implementation science : IS · 2024Article
- "Geriatrics (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundCommunication-based activities and products (i.e., training programs, webinars) are a critical component of implementation strategies that relay information to various audiences. Audience perceptions of communication effectiveness contribute important insight into the processes and mechanisms through which an implementation effort may succeed or fail. To advance research on this front, a psychometrically sound instrument for measuring perceived communication effectiveness (PCE) is needed.
methodsAn expert panel identified the theoretical foundations and conceptual domains of PCE and drafted preliminary items. Five focus groups of correctional professionals who had recently completed an implementation leadership training reviewed the items and provided feedback for refinement. Revised items were then included in a survey-based evaluation of an ongoing eLearning curriculum designed to improve the practices used by front-line probation officers in supervising individuals in the field. The factorial structure of a final 6-item scale as well as its convergent, divergent, and predictive validity was evaluated using data from the evaluation surveys (N
resultsConfirmatory factor analysis of the final scale of PCE demonstrated adequate fit. PCE was strongly correlated with measures of implementation outcomes (acceptability, r = .819, p < .001; appropriateness, r = .809, p < .001; and feasibility, r = .754, p < .001), yet uncorrelated with a scale of need to evaluate (r = - .051, p = .422), demonstrating both convergent and divergent validities. The predictive validity of PCE was evidenced by significant associations between PCE and key training outcomes, including perceived staff use of evidence-based practices (β = .230, p < .05), agency climate (β = .261, p < .05), and value concordance (β = .209, p < .05), after controlling for baseline values and other confounders.
conclusionsThe PCE scale is psychometrically sound and can be a useful tool for gauging audience receptivity to and the potential impact of communication-based implementation activities and products.
Indexed as
Identifiers
What OpenQuestion holds
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.