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      Testing the contextual Interaction theory in a UHC pilot district in South Africa

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          Abstract

          Background

          World-wide, there is growing universal health coverage (UHC) enthusiasm. The South African government began piloting policies aimed at achieving UHC in 2012. These UHC policies have been and are being rolled out in the ten selected pilot districts. Our study explored policy implementation experiences of 71 actors involved in UHC policy implementation, in one South African pilot district using the Contextual Interaction Theory (CIT) lens.

          Method

          Our study applied a two-actor deductive theory of implementation, Contextual Interaction Theory (CIT) to analyse 71 key informant interviews from one National Health Insurance (NHI) pilot district in South Africa. The theory uses motivation, information, power, resources and the interaction of these to explain implementation experiences and outcomes. The research question centred on the utility of CIT tenets in explaining the observed implementation experiences of actors and outcomes particularly policy- practice gaps.

          Results

          All CIT central tenets (information, motivation, power, resources and interactions) were alluded to by actors in their policy implementation experiences, a lack or presence of these tenets were explained as either a facilitator or barrier to policy implementation. This theory was found as very useful in explaining policy implementation experiences of both policy makers and facilitators.

          Conclusion

          A central tenet that was present in this context but not fully captured by CIT was leadership. Leadership interactions were revealed as critical for policy implementation, hence we propose the inclusion of leadership interactions to the current CIT central tenets, to become motivation, information, power, resources, leadership and interactions of all these.

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          Saturation in qualitative research: exploring its conceptualization and operationalization

          Saturation has attained widespread acceptance as a methodological principle in qualitative research. It is commonly taken to indicate that, on the basis of the data that have been collected or analysed hitherto, further data collection and/or analysis are unnecessary. However, there appears to be uncertainty as to how saturation should be conceptualized, and inconsistencies in its use. In this paper, we look to clarify the nature, purposes and uses of saturation, and in doing so add to theoretical debate on the role of saturation across different methodologies. We identify four distinct approaches to saturation, which differ in terms of the extent to which an inductive or a deductive logic is adopted, and the relative emphasis on data collection, data analysis, and theorizing. We explore the purposes saturation might serve in relation to these different approaches, and the implications for how and when saturation will be sought. In examining these issues, we highlight the uncertain logic underlying saturation—as essentially a predictive statement about the unobserved based on the observed, a judgement that, we argue, results in equivocation, and may in part explain the confusion surrounding its use. We conclude that saturation should be operationalized in a way that is consistent with the research question(s), and the theoretical position and analytic framework adopted, but also that there should be some limit to its scope, so as not to risk saturation losing its coherence and potency if its conceptualization and uses are stretched too widely.
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            Making sense of implementation theories, models and frameworks

            Background Implementation science has progressed towards increased use of theoretical approaches to provide better understanding and explanation of how and why implementation succeeds or fails. The aim of this article is to propose a taxonomy that distinguishes between different categories of theories, models and frameworks in implementation science, to facilitate appropriate selection and application of relevant approaches in implementation research and practice and to foster cross-disciplinary dialogue among implementation researchers. Discussion Theoretical approaches used in implementation science have three overarching aims: describing and/or guiding the process of translating research into practice (process models); understanding and/or explaining what influences implementation outcomes (determinant frameworks, classic theories, implementation theories); and evaluating implementation (evaluation frameworks). Summary This article proposes five categories of theoretical approaches to achieve three overarching aims. These categories are not always recognized as separate types of approaches in the literature. While there is overlap between some of the theories, models and frameworks, awareness of the differences is important to facilitate the selection of relevant approaches. Most determinant frameworks provide limited “how-to” support for carrying out implementation endeavours since the determinants usually are too generic to provide sufficient detail for guiding an implementation process. And while the relevance of addressing barriers and enablers to translating research into practice is mentioned in many process models, these models do not identify or systematically structure specific determinants associated with implementation success. Furthermore, process models recognize a temporal sequence of implementation endeavours, whereas determinant frameworks do not explicitly take a process perspective of implementation.
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              Top-Down and Bottom-Up Approaches to Implementation Research: a Critical Analysis and Suggested Synthesis

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                Author and article information

                Contributors
                janetmichel71@gmail.com
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                15 March 2022
                15 March 2022
                2022
                : 22
                : 343
                Affiliations
                [1 ]GRID grid.416786.a, ISNI 0000 0004 0587 0574, Swiss Tropical and Public Health Institute (Swiss TPH), ; Basel, Switzerland
                [2 ]GRID grid.6612.3, ISNI 0000 0004 1937 0642, University of Basel, ; Basel, Switzerland
                [3 ]GRID grid.6214.1, ISNI 0000 0004 0399 8953, Department of Governance and Technology for Sustainability, , University of Twente, ; Enschede, Netherlands
                [4 ]GRID grid.38142.3c, ISNI 000000041936754X, Professor Global Health Harvard T. H. Chan School of Public Health, ; Boston, United States
                [5 ]GRID grid.7700.0, ISNI 0000 0001 2190 4373, Director Institute of Public Health, , University of Heidelberg, ; Heidelberg, Germany
                [6 ]GRID grid.6612.3, ISNI 0000 0004 1937 0642, Head of Health Systems and Policy Unit Swiss Tropical and Public Health Institute (Swiss TPH), , University of Basel, ; Basel, Switzerland
                [7 ]GRID grid.416786.a, ISNI 0000 0004 0587 0574, Swiss TPH University of Basel World Bank Health Economist, ; Basel, Switzerland
                [8 ]GRID grid.7836.a, ISNI 0000 0004 1937 1151, Health Economics Unit, , University of Cape Town, ; Cape Town, South Africa
                [9 ]GRID grid.6214.1, ISNI 0000 0004 0399 8953, Policy Studies and Environmental Policy, , University of Twente, ; Enschede, Netherlands
                Author information
                http://orcid.org/0000-0002-8412-219X
                Article
                7705
                10.1186/s12913-022-07705-z
                8922738
                35292050
                ead09b28-ba7a-4deb-b100-62512acfd4a3
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 29 December 2020
                : 1 March 2022
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2022

                Health & Social care
                contextual interaction theory,leadership,motivation,information,resources,context,interactions,implementation,policy-practice gaps

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