Use of concept mapping to characterize relationships among implementation strategies and assess their feasibility and importance: results from the Expert Recommendations for Implementing Change (ERIC) study

Waltz, Thomas J.; Powell, Byron J.; Matthieu, Monica M.; Damschroder, Laura J.; Chinman, Matthew; Smith, Jeffrey L.; Proctor, Enola K.; Kirchner, Jo Ann E.

doi:10.1186/s13012-015-0295-0

Cited by 588 publications

(678 citation statements)

References 19 publications

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“…There is increasing recognition of the importance of identifying implementation strategies that are both feasible and impactful (Waltz et al, 2015). Digital implementation strategies such as computer-based reminders (Flanagan, Ramanujam, & Doebbeling, 2009), decision support systems (Roshanov et al, 2011), and alteration of computerized record systems (Nemeth, Feifer, Stuart, & Ornstein, 2008)are also becoming more common.…”

Section: Discussionmentioning

confidence: 99%

A Digital Feedback System to Support Implementation of Measurement-Based Care by School-Based Mental Health Clinicians

Lyon

Pullmann

Whitaker

et al. 2017

Journal of Clinical Child & Adolescent Psychology

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Objective. Evidence supports the utility of measurement-based care (MBC) to improve youth mental health outcomes, but clinicians rarely engage in MBC practices. Digital measurement feedback systems (MFS) may reflect a feasible strategy to support MBC adoption and sustainment. This pilot study was initiated to evaluate the impact of a MFS and brief consultation supports to facilitate MBC uptake and sustainment among mental health clinicians in the education sector, the most common mental health service delivery setting for youth. Method. Following an initial training in MBC, 14 clinicians were randomized to either: (1) a digital MFS and brief consultation supports, or (2) control. Baseline ratings of MBC attitudes, skill, and use were collected. In addition, daily assessment ratings tracked two core MBC practices (i.e., assessment tool administration, provision of feedback) over a six-month follow-up period. Results. Clinicians in the MFS condition demonstrated rapid increases in both MBC practices while the control group did not significantly change. For clinicians in the MFS group, consultation effects were significant for feedback and approached significance for administration. Over the follow-up period, average decreases in the current study were moderate with only one of the two outcome variables (administration) decreasing significantly. Inspection of individual clinician trajectories revealed substantial within-group trend variation. Conclusions. MFS may represent an effective MBC implementation strategy beyond initial training, although individual clinician response is variable. Identifying feasible and impactful implementation strategies is critical given the ability of MBC to support precision healthcare.

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Section: Discussionmentioning

confidence: 99%

A Digital Feedback System to Support Implementation of Measurement-Based Care by School-Based Mental Health Clinicians

Lyon

Pullmann

Whitaker

et al. 2017

Journal of Clinical Child & Adolescent Psychology

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“…According to the literature [21, 33, 37, 39, 55, 56] and to enhance the exploitation of findings for decision making directing future strategic plans, the mean ratings of the modifiability (x-axis) and population-level effect (y-axis) for the youth, adult, and older adult populations were used to plot the position of each factor relative to all other factors. The resulting scatterplots identified four quadrants (e.g., I, II, III, and IV) of “Go-Zones”, reporting factors deemed relevant for their population-level effect but considered to have a low modifiability (Quadrant I), factors that have been attributed low ratings for both modifiability and population-level effect (Quadrant II), factors deemed relevant for their modifiability but considered to have a low population-level effect (Quadrant III), and factors deemed to be most modifiable and having the highest population-level effect (Quadrant IV), respectively.…”

Section: Methodsmentioning

confidence: 99%

Using concept mapping in the development of the EU-PAD framework (EUropean-Physical Activity Determinants across the life course): a DEDIPAC-study

et al. 2016

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BackgroundA large proportion of European children, adults and older adults do not engage in sufficient physical activity (PA). Understanding individual and contextual factors associated with PA behaviours is essential for the identification and implementation of effective preventative environments, policies, and programmes that can promote an active lifestyle across life course and can potentially improve health. The current paper intends to provide 1) a multi-disciplinary, Pan-European and life course view of key determinants of PA behaviours and 2) a proposal of how these factors may cluster.MethodsAfter gathering a list of 183 potential PA behaviours-associated factors and a consensus meeting to unify/consolidate terminology, a concept mapping software was used to collate European experts’ views of 106 identified factors for youth (<19 years), adults (19–64 years), and older adults (≥65 years). The analysis evaluated common trends in the clustering of factors and the ratings of the distinct factors’ expected modifiability and population-level impact on PA behaviours across the life course. Priority for research was also assessed for each cluster.ResultsThe concept mapping resulted in six distinct clusters, broadly merged in two themes: 1) the ‘Person’, which included clusters ‘Intra-Personal Context and Wellbeing’ and ‘Family and Social Economic Status’ (42 % of all factors) and 2) the ‘Society’, which included the remaining four clusters ‘Policy and Provision’, ‘Cultural Context and Media’, ‘Social Support and Modelling’, and ‘Supportive Environment’ (58 % of all factors). Overall, 25 factors were rated as the most impactful on PA behaviours across the life course and being the most modifiable. They were mostly situated in the ‘Intra-Personal Context and Wellbeing’ cluster. Furthermore, 16 of them were rated as top priority for research.ConclusionsThe current framework provides a preliminary overview of factors which may account for PA behaviour across the life course and are most relevant to the European community. These insights could potentially be a foundation for future Pan-European research on how these factors might interact with each other, and assist policy makers to identify appropriate interventions to maximize PA behaviours and thus the health of European citizens.

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“…Implementation strategy is the term given to the array of available actions (Waltz et al, 2015). The outcomes in the taxonomy are acceptability, adoption, appropriateness, costs, feasibility, fidelity, penetration, and sustainability.…”

Section: Assessing Implementation Processes and Outcomesmentioning

confidence: 99%

Using implementation science to guide the integration of evidence-based family interventions into primary care.

Smith¹,

Polaha

2017

Families, Systems, & Health

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In this article, we demonstrate how an implementation science (IS) framework is coupled with the measurement of implementation outcomes to effectively integrate evidence-based family interventions in primary care. The primary care environment presents a number of challenges for successfully integrating such interventions. However, IS methods can improve the prospect of successfully implementing a new intervention while simultaneously and rigorously evaluating the impact on salient outcomes. We use our experiences across two pilot trials where the Family Check-Up, an evidence-based family intervention, was integrated into primary care. In these pilot trials, the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework and the Proctor et al. taxonomy of implementation outcomes were used to guide the implementation and evaluate its success. Grounding our presentation in our pilot work offers an illustration of applying the EPIS framework and outcomes measurement to real-world problems and contexts. When embarking on new efforts to integrate behavioral interventions into healthcare settings, the application of IS frameworks and measurement strategies can create generalizable knowledge that substantively contributes to a sparse literature. Today, those “in the trenches” who are translating evidence-based interventions to their setting can contribute to the corpus of research in integrated care by using IS methods to plan a new program and evaluate its feasibility, adoption, and reach.

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Use of concept mapping to characterize relationships among implementation strategies and assess their feasibility and importance: results from the Expert Recommendations for Implementing Change (ERIC) study

Cited by 588 publications

References 19 publications

A Digital Feedback System to Support Implementation of Measurement-Based Care by School-Based Mental Health Clinicians

A Digital Feedback System to Support Implementation of Measurement-Based Care by School-Based Mental Health Clinicians

Using concept mapping in the development of the EU-PAD framework (EUropean-Physical Activity Determinants across the life course): a DEDIPAC-study

Using implementation science to guide the integration of evidence-based family interventions into primary care.

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