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      Psychometric properties of implementation measures for public health and community settings and mapping of constructs against the Consolidated Framework for Implementation Research: a systematic review

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          Abstract

          Background

          Recent reviews have synthesised the psychometric properties of measures developed to examine implementation science constructs in healthcare and mental health settings. However, no reviews have focussed primarily on the properties of measures developed to assess innovations in public health and community settings. This review identified quantitative measures developed in public health and community settings, examined their psychometric properties, and described how the domains of each measure align with the five domains and 37 constructs of the Consolidated Framework for Implementation Research (CFIR).

          Methods

          MEDLINE, PsycINFO, EMBASE, and CINAHL were searched to identify publications describing the development of measures to assess implementation science constructs in public health and community settings. The psychometric properties of each measure were assessed against recommended criteria for validity (face/content, construct, criterion), reliability (internal consistency, test-retest), responsiveness, acceptability, feasibility, and revalidation and cross-cultural adaptation. Relevant domains were mapped against implementation constructs defined by the CFIR.

          Results

          Fifty-one measures met the inclusion criteria. The majority of these were developed in schools, universities, or colleges and other workplaces or organisations. Overall, most measures did not adequately assess or report psychometric properties. Forty-six percent of measures using exploratory factor analysis reported >50 % of variance was explained by the final model; none of the measures assessed using confirmatory factor analysis reported root mean square error of approximation (<0.06) or comparative fit index (>0.95). Fifty percent of measures reported Cronbach’s alpha of <0.70 for at least one domain; 6 % adequately assessed test-retest reliability; 16 % of measures adequately assessed criterion validity (i.e. known-groups); 2 % adequately assessed convergent validity ( r > 0.40). Twenty-five percent of measures reported revalidation or cross-cultural validation. The CFIR constructs most frequently assessed by the included measures were relative advantage, available resources, knowledge and beliefs, complexity, implementation climate, and other personal resources (assessed by more than ten measures). Five CFIR constructs were not addressed by any measure.

          Conclusions

          This review highlights gaps in the range of implementation constructs that are assessed by existing measures developed for use in public health and community settings. Moreover, measures with robust psychometric properties are lacking. Without rigorous tools, the factors associated with the successful implementation of innovations in these settings will remain unknown

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13012-016-0512-5) contains supplementary material, which is available to authorized users.

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          Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model

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            Using Multivariate Statistics

            A Practical Approach to using Multivariate Analyses Using Multivariate Statistics , 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text's practical approach focuses on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses Find the best technique to use Understand Limitations to applications Learn how to use SPSS and SAS syntax and output
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              User acceptance of information technology: system characteristics, user perceptions and behavioral impacts

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                Author and article information

                Contributors
                tara.clintonmcharg@hnehealth.nsw.gov.au
                serene.yoong@hnehealth.nsw.gov.au
                flora.tzelepis@hnehealth.nsw.gov.au
                tim.regan@hnehealth.nsw.gov.au
                alison.fielding@hnehealth.nsw.gov.au
                eliza.skelton@newcastle.edu.au
                melanie.kingsland@hnehealth.nsw.gov.au
                jiaying.ooi@hnehealth.nsw.gov.au
                +61 2 4924 6567 , luke.wolfenden@hnehealth.nsw.gov.au
                Journal
                Implement Sci
                Implement Sci
                Implementation Science : IS
                BioMed Central (London )
                1748-5908
                8 November 2016
                8 November 2016
                2016
                : 11
                : 148
                Affiliations
                [1 ]School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308 Australia
                [2 ]Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
                [3 ]Hunter New England Population Health, Wallsend, NSW 2287 Australia
                Article
                512
                10.1186/s13012-016-0512-5
                5100177
                27821146
                9286eb84-26ed-449f-bb1d-00f969e9c10e
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

                History
                : 14 March 2016
                : 20 October 2016
                Categories
                Systematic Review
                Custom metadata
                © The Author(s) 2016

                Medicine
                public health,implementation research,psychometric,measure,factor analysis
                Medicine
                public health, implementation research, psychometric, measure, factor analysis

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