Methodological approaches to study context in intervention implementation studies: an evidence gap map

Within implementation science studies, contextual analysis is increasingly recognized as foundational to interventions' successful and sustainable implementation. However, inconsistencies between methodological approaches currently limit progress in studying context and guidance to standardize the use of those approaches is scant. Therefore, this study's objective was to systematically review and map current methodological approaches to contextual analysis in intervention implementation studies. The results would help us both to systematize the process of contextual analysis and identify gaps in the current evidence.; We conducted an evidence gap map (EGM) based on literature data via a stepwise approach. First, using an empirically developed search string, we randomly sampled 20% of all intervention implementation studies available from PubMed per year (2015-2020). Second, we assessed included studies that conducted a contextual analysis. Data extraction and evaluation followed the Basel Approach for CoNtextual ANAlysis (BANANA), using a color-coded rating scheme. Also based on BANANA and on the Context and Implementation of Complex Interventions (CICI) framework-an implementation framework that pays ample attention to context- we created visual maps of various approaches to contextual analysis.; Of 15, 286 identified intervention implementation studies and study protocols, 3017 were screened for inclusion. Of those, 110 warranted close examination, revealing 22% that reported on contextual analysis. Only one study explicitly applied a framework for contextual analysis. Data were most commonly collected via surveys (n = 15) and individual interviews (n = 13). Ten studies reported mixed-methods analyses. Twenty-two assessed meso-level contextual and setting factors, with socio-cultural aspects most commonly studied. Eighteen described the use of contextual information for subsequent project phases (e.g., intervention development/adaption, selecting implementation strategies). Nine reported contextual factors' influences on implementation and/or effectiveness outcomes.; This study describes current approaches to contextual analysis in implementation science and provides a novel framework for evaluating and mapping it. By synthesizing our findings graphically in figures, we provide an initial evidence base framework that can incorporate new findings as necessary. We strongly recommend further development of methodological approaches both to conduct contextual analysis and to systematize the reporting of it. These actions will increase the quality and consistency of implementation science research

Development of the Translating Allied Health Knowledge (TAHK) Framework

Background: While evidence-based practice is a familiar concept to allied health clinicians, knowledge translation (KT) is less well known and understood. The need for a framework that enables allied health clinicians to access and engage with KT was identified. The aim of this paper is to describe the development of the Translating Allied Health Knowledge (TAHK) Framework. Methods: An iterative and collaborative process involving clinician and academic knowledge partners was utilised to develop the TAHK Framework. Multiple methods were utilised during this process, including a systematic literature review, steering committee consultation, mixed methods survey, benchmarking and measurement property analysis. Results: The TAHK Framework has now been finalised, and is described in detail. The framework is structured around four domains – Doing Knowledge Translation, Social Capital for Knowledge Translation, Sustaining Knowledge Translation and Inclusive Knowledge Translation – under which 14 factors known to influence allied health KT are classified. The formulation of the framework to date has laid a rigorous foundation for further developments, including clinician support and outcome measurement. Conclusion: The method of development adopted for the TAHK Framework has ensured it is both evidence and practice based, and further amendments and modifications are anticipated as new knowledge becomes available. The Framework will enable allied health clinicians to build on their existing capacities for KT, and approach this complex process in a rigorous and systematic manner. The TAHK Framework offers a unique focus on how knowledge is translated by allied health clinicians in multidisciplinary settings

Topic search filters: a systematic scoping review

This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for self-archiving. © 2018 Health Libraries Group All rights reserved. This author accepted manuscript is made available following 24 month embargo from date of publication (Dec 2018) in accordance with the publisher’s archiving policyBackground Searching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional clarity. Experimentally derived topic search filters offer a reliable solution to effective retrieval; however, their number and range of subject foci remain unknown. Objectives This systematic scoping review aims to identify and describe available experimentally developed topic search filters. Methods Reports on topic search filter development (1990‐) were sought using grey literature sources and 15 databases. Reports describing the conception and prospective development of a database‐specific topic search and including an objectively measured estimate of its performance (‘sensitivity’) were included. Results Fifty‐four reports met inclusion criteria. Data were extracted and thematically synthesised to describe the characteristics of 58 topic search filters. Discussion Topic search filters are proliferating and cover a wide range of subjects. Filter reports, however, often lack clear definitions of concepts and topic scope to guide users. Without standardised terminology, filters are challenging to find. Information specialists may benefit from a centralised topic filter repository and appraisal checklists to facilitate quality assessment. Conclusion Findings will help information specialists identify existing topic search filters and assist filter developers to build on current knowledge in the field