Evidence map›Paper›PMID 34112191›Full record

ArticleImplementation science : IS2021

Enhancing organizational readiness for implementation: constructing a typology of readiness-development strategies using a modified Delphi process.

Sigal Vax, Marianne Farkas, Zlatka Russinova, Kim T Mueser, Mari-Lynn Drainoni

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Article in Implementation science : IS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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13citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sigal VaxRehabilitation Sciences Program, College of Health & Rehabilitation, Sargent College, Boston University, 940 Commonwealth Ave W, Boston, MA, 02215, USA. sigalvax@bu.edu.ORCID 0000-0002-4463-9442
Marianne FarkasCenter for Psychiatric Rehabilitation, College of Health & Rehabilitation, Sargent College, Boston University, Boston, MA, USA.ORCID 0000-0002-6027-0382
Zlatka RussinovaCenter for Psychiatric Rehabilitation, College of Health & Rehabilitation, Sargent College, Boston University, Boston, MA, USA.ORCID 0000-0002-4396-5537
Kim T MueserCenter for Psychiatric Rehabilitation, College of Health & Rehabilitation, Sargent College, Boston University, Boston, MA, USA.ORCID 0000-0002-1482-8314
Mari-Lynn DrainoniSection of Infectious Diseases, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.ORCID 0000-0001-7214-8037

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge about the development of organizational readiness for implementation (ORI) is limited. ORI, referred to as the willingness and capacity of all relevant stakeholders to change practice, is critical for increasing the adoption rate of evidence-based practices and improving implementation outcomes. However, no methodology currently guides ORI's enhancement or addresses differences in readiness needs across an organization. This study used the transtheoretical model (TTM) as a framework for classifying a well-established compilation of implementation strategies into three readiness stages: pre-contemplation, contemplation, and preparation.

methodsA modified Delphi method was used to establish consensus among a panel of purposefully selected research and field implementation experts. The Delphi process involved three rounds of online questionnaires. The third round also included a live video discussion to clarify definitions in an effort to increase consensus among experts.

resultsOf the 73 strategies reviewed, the experts identified 75% (n = 55) as relevant for pre-implementation and reached a high-level agreement on the assignment of 7% (n = 5) of the strategies to the pre-contemplation stage (ORI-1), 25% (n = 18) to the contemplation stage (ORI-2), and 52% (n = 38) to the preparation stage (ORI-3). Several strategies were identified as relevant to more than one stage.

conclusionsParticipating experts were able to reach high-level agreement on the relevance of specific sets of implementation strategies to each of the three ORI stages. The lowest number of strategies was assigned to ORI-1 and the highest number to ORI-3. Given the overlap of strategies across ORI stages, there is a need to better understand the specific utilization of such strategies at different stages. Future studies are needed to empirically evaluate the relevance and applicability of this expert-informed typology based on implementers' experiences in the field.

Indexed as

Evidence-Based PracticeConsensusDelphi TechniqueOrganizational InnovationSurveys and QuestionnairesEvidence-based practicesImplementation strategiesModified DelphiOrganizational readiness for changePre-implementationStage-basedTranstheoretical model

Identifiers

PMID34112191
PMCPMC8194182

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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.