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      Multiagency programs with police as a partner for reducing radicalisation to violence

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          Abstract

          Background

          Multiagency responses to reduce radicalisation often involve collaborations between police, government, nongovernment, business and/or community organisations. The complexities of radicalisation suggest it is impossible for any single agency to address the problem alone. Police‐involved multiagency partnerships may disrupt pathways from radicalisation to violence by addressing multiple risk factors in a coordinated manner.

          Objectives

          • 1.

            Synthesise evidence on the effectiveness of police‐involved multiagency interventions on radicalisation or multiagency collaboration

          • 2.

            Qualitatively synthesise information about how the intervention works (mechanisms), intervention context (moderators), implementation factors and economic considerations.

          Search Methods

          Terrorism‐related terms were used to search the Global Policing Database, terrorism/counterterrorism websites and repositories, and relevant journals for published and unpublished evaluations conducted 2002–2018. The search was conducted November 2019. Expert consultation, reference harvesting and forward citation searching was conducted November 2020.

          Selection Criteria

          Eligible studies needed to report an intervention where police partnered with at least one other agency and explicitly aimed to address terrorism, violent extremism or radicalisation. Objective 1 eligible outcomes included violent extremism, radicalisation and/or terrorism, and multiagency collaboration. Only impact evaluations using experimental or robust quasi‐experimental designs were eligible. Objective 2 placed no limits on outcomes. Studies needed to report an empirical assessment of an eligible intervention and provide data on mechanisms, moderators, implementation or economic considerations.

          Data Collection and Analysis

          The search identified 7384 records. Systematic screening identified 181 studies, of which five were eligible for Objective 1 and 26 for Objective 2. Effectiveness studies could not be meta‐analysed, so were summarised and effect size data reported. Studies for Objective 2 were narratively synthesised by mechanisms, moderators, implementation, and economic considerations. Risk of bias was assessed using ROBINS‐I, EPHPP, EMMIE and CASP checklists.

          Results

          One study examined the impact on vulnerability to radicalisation, using a quasi‐experimental matched comparison group design and surveys of volunteers ( n = 191). Effects were small to medium and, aside from one item, favoured the intervention. Four studies examined the impact on the nature and quality of multiagency collaboration, using regression models and surveys of practitioners. Interventions included: alignment with national counterterrorism guidelines ( n = 272); number of counterterrorism partnerships ( n = 294); influence of, or receipt of, homeland security grants ( n = 350, n = 208). Study findings were mixed. Of the 181 studies that examined mechanisms, moderators, implementation, and economic considerations, only 26 studies rigorously examined mechanisms ( k = 1), moderators ( k = 1), implementation factors ( k = 21) or economic factors ( k = 4).

          All included studies contained high risk of bias and/or methodological issues, substantially reducing confidence in the findings.

          Authors' Conclusions

          A limited number of effectiveness studies were identified, and none evaluated the impact on at‐risk or radicalised individuals. More investment needs to be made in robust evaluation across a broader range of interventions.

          Qualitative synthesis suggests that collaboration may be enhanced when partners take time to build trust and shared goals, staff are not overburdened with administration, there are strong privacy provisions for intelligence sharing, and there is ongoing support and training.

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          Most cited references197

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          ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

          Non-randomised studies of the effects of interventions are critical to many areas of healthcare evaluation, but their results may be biased. It is therefore important to understand and appraise their strengths and weaknesses. We developed ROBINS-I (“Risk Of Bias In Non-randomised Studies - of Interventions”), a new tool for evaluating risk of bias in estimates of the comparative effectiveness (harm or benefit) of interventions from studies that did not use randomisation to allocate units (individuals or clusters of individuals) to comparison groups. The tool will be particularly useful to those undertaking systematic reviews that include non-randomised studies.
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            Criteria list for assessment of methodological quality of economic evaluations: Consensus on Health Economic Criteria.

            The aim of the Consensus on Health Economic Criteria (CHEC) project is to develop a criteria list for assessment of the methodological quality of economic evaluations in systematic reviews. The criteria list resulting from this CHEC project should be regarded as a minimum standard. The criteria list has been developed using a Delphi method. Three Delphi rounds were needed to reach consensus. Twenty-three international experts participated in the Delphi panel. The Delphi panel achieved consensus over a generic core set of items for the quality assessment of economic evaluations. Each item of the CHEC-list was formulated as a question that can be answered by yes or no. To standardize the interpretation of the list and facilitate its use, the project team also provided an operationalization of the criteria list items. There was consensus among a group of international experts regarding a core set of items that can be used to assess the quality of economic evaluations in systematic reviews. Using this checklist will make future systematic reviews of economic evaluations more transparent, informative, and comparable. Consequently, researchers and policy-makers might use these systematic reviews more easily. The CHEC-list can be downloaded freely from http://www.beoz.unimaas.nl/chec/.
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              Synthesising qualitative and quantitative evidence: A review of possible methods

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                Author and article information

                Contributors
                l.mazerolle@uq.edu.au
                Journal
                Campbell Syst Rev
                Campbell Syst Rev
                10.1002/(ISSN)1891-1803
                CL2
                Campbell Systematic Reviews
                John Wiley and Sons Inc. (Hoboken )
                1891-1803
                05 May 2021
                June 2021
                : 17
                : 2 ( doiID: 10.1002/cl2.v17.2 )
                : e1162
                Affiliations
                [ 1 ] School of Social Science, St. Lucia Campus University of Queensland St. Lucia Queensland Australia
                [ 2 ] School of Justice, Gardens Point Campus Queensland University of Technology Brisbane Queensland Australia
                Author notes
                [*] [* ] Correspondence Lorraine Mazerolle, School of Social Science, The University of Queensland, St. Lucia, Queensland 4072, Australia.

                Email: l.mazerolle@ 123456uq.edu.au

                Article
                CL21162
                10.1002/cl2.1162
                8356331
                37131922
                f59bb39f-a636-4494-9cee-f699c7c883c0
                © 2021 The Authors. Campbell Systematic Reviews published by John Wiley & Sons Ltd on behalf of The Campbell Collaboration

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 1, Tables: 13, Pages: 88, Words: 48018
                Categories
                Systematic Review
                Systematic Review
                Social Welfare
                Custom metadata
                2.0
                June 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.3 mode:remove_FC converted:30.03.2022

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