2021
DOI: 10.3389/fpubh.2021.653588
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Appraising the Implementation of Complexity Approaches Within the Public Health Sector in Scotland. An Assessment Framework for Pre-Implementation Policy Evaluation

Abstract: Complexity approaches have gained international attention as potentially effective strategies to address population health challenges. In light of this, the Scottish government (Scot. Gov.) set the implementation of these approaches as the recommended practice for its public health sector organizations. This study evaluates the opportunity and feasibility of implementing complexity approaches in public health Scotland employees' everyday routine by employing a qualitative study that involves 20 stakeholders, r… Show more

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Cited by 4 publications
(9 citation statements)
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“… Racher and Annis [ 48 ] The community health action (CHA) model To guide the community assessment, planning, implementation and evaluation of the process. Titler [ 51 ] Translation Science and Context A guide to help assess context in translation science. Wilson et al [ 49 ] The knowledge to action framework Provide support for the identification of decision points, interactions, and supporting structures to enable to move knowledge to sustainable action.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“… Racher and Annis [ 48 ] The community health action (CHA) model To guide the community assessment, planning, implementation and evaluation of the process. Titler [ 51 ] Translation Science and Context A guide to help assess context in translation science. Wilson et al [ 49 ] The knowledge to action framework Provide support for the identification of decision points, interactions, and supporting structures to enable to move knowledge to sustainable action.…”
Section: Resultsmentioning
confidence: 99%
“…Similarly, Titler [ 51 ] recommends finding ways to account for systemic factors in the study design and randomized controlled designs. Zucca et al [ 52 ] place intervention within a systems approach, making a distinction between a complex systems approach, in which variables are so intertwined that the cause and effect relation is uncertain, versus a complicated system, where numerous elements and relationships exist but their relationship can be unveiled and understood.…”
Section: Resultsmentioning
confidence: 99%
“…In these studies, researchers adopted semi-structured interviews, surveys, a simulated case approach, and concept mapping. Bensberg, Joyce, and Wilson [40], Morais, Kuhlberg, Ballard, Indvik, Rocha, Denise Marques, Letícia de Oliveira, Gouveia, Amélia Augusta de Lima, and Waleska Teixeira [19], Zucca, Long, Hilton, and McCann [86], El-Jardali, Adam, Ataya, Jamal, and Jaafar [51], and Trochim, Cabrera, Milstein, Gallagher, and Leischow [78] offered insights into participants' understanding of ST, its potential uses, and constraints on applications within the scope of health policy. Bérard, Cloutier, and Cassivi [41] and Scott, Cavana, and Cameron [71] focused on the perceived usefulness of particular ST methods, namely a system dynamics (SD) based decision support system and SD in group model building, respectively.…”
Section: User Perspectivementioning
confidence: 99%
“…In fact, a change affects the complex systems of factors and stakeholders that co-act in a system. System-based methods allow the disentanglement of the multiple aspects of a new policy and the observation of a complex array of effects that are simultaneously affecting the system of interest (Luke and Stamatakis, 2012;Rutter et al, 2017;Zucca et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…GMB is widely employed for the construction of CLDs involving stakeholders in order to understand the systems that are facing the introduction of a new policy or practice, especially in the domain of social policies and health related issues (Hovmand, 2014). Furthermore, the employment of social network analysis for understanding the impact of new policies and practices on a system is becoming increasingly popular due to the many possibilities it offers to explore the relationships between factors in a system (McGlashan et al, 2016;Valente, 2012;Zucca et al, 2021). In this study, social network analysis is employed for two different reasons: to control for the reliability of the CLD and to understand its substantive meaning.…”
Section: Introductionmentioning
confidence: 99%