Evidence map›Paper›PMID 38902838›Full record

ArticleImplementation science communications2024

Optimizing implementation: elucidating the role of behavior change techniques and corresponding strategies on determinants and implementation performance: a cross-sectional study.

Eveline M Dubbeldeman, Mathilde R Crone, Jessica Christina Kiefte-de Jong, Rianne M J J van der Kleij

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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 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Eveline M DubbeldemanDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands. E.M.Dubbeldeman@lumc.nl.ORCID http://orcid.org/0000-0003-1217-158X
Mathilde R CroneDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands.
Jessica Christina Kiefte-de JongDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands.
Rianne M J J van der KleijDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands.

Funding

ZonMw 729220001
6 · The paper itself

Abstract

introductionBehavior change techniques (BCTs) are considered as active components of implementation strategies, influencing determinants and, ultimately, implementation performance. In our previous Delphi study, experts formulated 'implementation hypotheses', detailing how specific combinations of BCTs and strategies (referred to as BCT-strategy combinations) might influence determinants and guideline implementation within youth care. For example, educational meetings providing instructions on guideline use were hypothesized to enhance practitioners' knowledge and, consequently, guideline implementation. However, these hypotheses have not been verified in practice yet.

methodWe conducted a cross-sectional study involving practitioners and management professionals from youth (health)care organizations. Using questionnaires, we obtained data on the presence of BCT-strategy combinations and their perceived influence on determinants and implementation performance. Chi-squared tests and regression analyses were employed to determine the influence of specific BCT-strategy combinations on determinants and implementation performance.

resultsOur analyses included data from 104 practitioners and 34 management professionals. Most of the management professionals indicated that the BCT-strategy combinations positively influenced or had the potential to influence their implementation performance. At the practitioner level, half of the combinations were perceived to have a positive influence on determinants and implementation performance. Furthermore, practitioners who reported the absence of BCT-strategy combinations were more skeptical about their potential influence on determinants and implementation performance.

conclusionSeveral BCT-strategy combinations were perceived to improve or potentially improve implementation performance of both practitioners and management professionals. In the development and evaluation of implementation efforts, we advocate for clearly describing the implementation effort's objective and using frameworks that detail the BCTs inducing behavior change, the strategy employed, and the processes driving the observed changes. Understanding these interconnected processes is important in designing targeted, evidence-based behavior change interventions. This understanding optimizes resource allocation and contributes to the overall success of implementation efforts in youth care.

Indexed as

Behavior change techniquesGuidelinesImplementationPracticeStrategiesYouth care

Identifiers

PMID38902838
PMCPMC11191141

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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.