Front Public Health May 2018 PMID 29868544

From Classification to Causality: Advancing Understanding of Mechanisms of Change in Implementation Science.

Cara C Lewis, Predrag Klasnja, Byron J Powell, Aaron R Lyon, Leah Tuzzio, Salene Jones, Callie Walsh-Bailey, Bryan Weiner

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Mentions

Peak: 7 in Jan 2019

across 4 sources since Jan 2019

Extended reach

17,564

potential audience

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Mentions per month

Jan 2019 – Sep 2023

Where it's discussed

News13 articles
X / Twitter12 posts
YouTube2 videos
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AI synopsis

What people are saying

Discussions emphasize the significance of the publication, with comments like 'excellent overview' and 'useful paper' indicating strong interest. The tone suggests respect and curiosity about advancing causal pathways, but few posts delve deeply into critique or broad application, reflecting moderate engagement and perceived impact.

AgreementModerate agreement

Most discussions acknowledge the importance of the publication and agree with its emphasis on improving causal understanding in implementation science.

InterestHigh interest

Posts show high curiosity and interest, highlighting the paper's relevance and usefulness for ongoing research.

EngagementModerate engagement

Several comments reference specific strategies and models, indicating moderate engagement with the content's methodology and implications.

ImpactModerate impact

Participants believe the article could influence future research and practice, though the overall sentiment remains mostly positive and exploratory.

Abstract in brief

This article emphasizes the need for a more precise and scientific approach to understanding how implementation strategies work, highlighting that current methods lack detailed causal pathways.
It proposes a four-step process to develop causal pathway models, which includes correctly specifying strategies, identifying mechanisms, determining outcomes, and understanding effect modifiers like preconditions and moderators.
The authors advocate for clearer terminology, better research guidelines, strong measures, and more comprehensive evidence to improve the science of implementation and ultimately enhance the effectiveness of strategies.

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All mentions

Advancing Causal Understanding of Change Mechanisms in Implementation Science

This video emphasizes the need for a more precise scientific approach to understanding how implementation strategies work, proposing a four-step process to develop causal pathway models that specify strategies, identify…

Medicine RTCL TV · Aug 11, 2023 26 views

Advancing Causal Understanding in Implementation Science Mechanisms

This video emphasizes the need for a scientific approach to understanding how implementation strategies work, proposing a four-step process to develop causal pathway models and improve implementation effectiveness.

Medicine RTCL TV · Sep 9, 2023 17 views

黒水　宣行

@Kuromizu_N · X

RT @RADISH_2018: From Classification to Causality: Advancing Understanding of Mechanisms of Change in Implementation Science https://t.co/x…

Feb 17, 2022 · 2 shares · 209 followers View post →

at_ayeaye

@at_ayeaye · X

RT @RADISH_2018: From Classification to Causality: Advancing Understanding of Mechanisms of Change in Implementation Science https://t.co/x…

Feb 5, 2022 · 2 shares · 593 followers View post →

RADISH 保健医療福祉における普及と実装科学研究会

@RADISH_2018 · X

Feb 5, 2022 · 6 likes · 2 shares · 844 followers View post →

Implementation Science at the Univ of Washington

@ImpSciUW · X

RT @Aaron_Lyon: @sbroderfingert @ImplementCollab (1) https://t.co/ABcoAuLD9c (@enola_proctor) (2) https://t.co/pJqKbfFUdu (@byron_powell)…

Sep 9, 2019 · 1 share · 3,488 followers View post →

Aaron Lyon, PhD

@Aaron_Lyon · X

@sbroderfingert @ImplementCollab (1) https://t.co/ABcoAuLD9c (@enola_proctor) (2) https://t.co/pJqKbfFUdu (@byron_powell) (3) https://t.co/cbAEwMNcG9 (@CaraCLewis) #impsci

Sep 8, 2019 · 4 likes · 1 share · 2,470 followers View post →