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      Interdisciplinary behavioral health provider perceptions of implementing the Collaborative Chronic Care Model: an i-PARIHS-guided qualitative study

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          Abstract

          Background

          The evidence-based Collaborative Chronic Care Model (CCM), developed to help structure care for chronic health conditions, comprises six elements: work role redesign, patient self-management support, provider decision support, clinical information systems, linkages to community resources, and organizational/leadership support. As the CCM is increasingly implemented in real-world settings, there is heightened interest in understanding specific influences upon implementation. Therefore, guided by the Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework, we (i) identified innovation-, recipient-, context-, and facilitation-related influences on CCM implementation and (ii) assessed the influences’ relationship to each CCM element’s implementation.

          Methods

          Using semi-structured interviews, we examined interdisciplinary behavioral health providers’ experiences at nine VA medical centers that implemented the CCM. We used i-PARIHS constructs as a priori codes for directed content analysis, then analyzed the data for cross-coding by CCM element and i-PARIHS construct.

          Results

          Participants (31 providers) perceived the CCM innovation as enabling comprehensive care but challenging to coordinate with existing structures/procedures. As recipients, participants recounted not always having the authority to design CCM-consistent care processes. They perceived local leadership support to be indispensable to implementation success and difficult to garner when CCM implementation distracted from other organizational priorities. They found implementation facilitation helpful for keeping implementation on track. We identified key themes at the intersection of i-PARIHS constructs and core CCM elements, including (i) the CCM being an innovation that offers a formal structure to stepping down care intensity for patients to encourage their self-management, (ii) recipients accessing their multidisciplinary colleagues’ expertise for provider decision support, (iii) relationships with external services in the community (e.g., homelessness programs) being a helpful context for providing comprehensive care, and (iv) facilitators helping to redesign specific interdisciplinary team member roles.

          Conclusions

          Future CCM implementation would benefit from (i) facilitating strategic development of supportive maintenance plans for patients’ self-management, (ii) collocating multidisciplinary staff (on-site or virtually) to enhance provider decision support, (iii) keeping information on available community resources up to date, and (iv) making clearer the explicit CCM-consistent care processes that work roles can be designed around. This work can inform concrete tailoring of implementation efforts to focus on the more challenging CCM elements, which is crucial to better account for multiple influences that vary across diverse care settings in which the CCM is being implemented.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s43058-023-00407-5.

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          Most cited references45

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          Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups.

          Qualitative research explores complex phenomena encountered by clinicians, health care providers, policy makers and consumers. Although partial checklists are available, no consolidated reporting framework exists for any type of qualitative design. To develop a checklist for explicit and comprehensive reporting of qualitative studies (in depth interviews and focus groups). We performed a comprehensive search in Cochrane and Campbell Protocols, Medline, CINAHL, systematic reviews of qualitative studies, author or reviewer guidelines of major medical journals and reference lists of relevant publications for existing checklists used to assess qualitative studies. Seventy-six items from 22 checklists were compiled into a comprehensive list. All items were grouped into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. Duplicate items and those that were ambiguous, too broadly defined and impractical to assess were removed. Items most frequently included in the checklists related to sampling method, setting for data collection, method of data collection, respondent validation of findings, method of recording data, description of the derivation of themes and inclusion of supporting quotations. We grouped all items into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. The criteria included in COREQ, a 32-item checklist, can help researchers to report important aspects of the research team, study methods, context of the study, findings, analysis and interpretations.
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            Three approaches to qualitative content analysis.

            Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
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              PARIHS revisited: from heuristic to integrated framework for the successful implementation of knowledge into practice

              Background The Promoting Action on Research Implementation in Health Services, or PARIHS framework, was first published in 1998. Since this time, work has been ongoing to further develop, refine and test it. Widely used as an organising or conceptual framework to help both explain and predict why the implementation of evidence into practice is or is not successful, PARIHS was one of the first frameworks to make explicit the multi-dimensional and complex nature of implementation as well as highlighting the central importance of context. Several critiques of the framework have also pointed out its limitations and suggested areas for improvement. Discussion Building on the published critiques and a number of empirical studies, this paper introduces a revised version of the framework, called the integrated or i-PARIHS framework. The theoretical antecedents of the framework are described as well as outlining the revised and new elements, notably, the revision of how evidence is described; how the individual and teams are incorporated; and how context is further delineated. We describe how the framework can be operationalised and draw on case study data to demonstrate the preliminary testing of the face and content validity of the revised framework. Summary This paper is presented for deliberation and discussion within the implementation science community. Responding to a series of critiques and helpful feedback on the utility of the original PARIHS framework, we seek feedback on the proposed improvements to the framework. We believe that the i-PARIHS framework creates a more integrated approach to understand the theoretical complexity from which implementation science draws its propositions and working hypotheses; that the new framework is more coherent and comprehensive and at the same time maintains it intuitive appeal; and that the models of facilitation described enable its more effective operationalisation. Electronic supplementary material The online version of this article (doi:10.1186/s13012-016-0398-2) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
                bo.kim@va.gov
                Journal
                Implement Sci Commun
                Implement Sci Commun
                Implementation Science Communications
                BioMed Central (London )
                2662-2211
                30 March 2023
                30 March 2023
                2023
                : 4
                : 35
                Affiliations
                [1 ]GRID grid.410370.1, ISNI 0000 0004 4657 1992, VA Boston Healthcare System, ; 150 South Huntington Avenue, Boston, MA 02130 USA
                [2 ]GRID grid.38142.3c, ISNI 000000041936754X, Harvard Medical School, ; 25 Shattuck Street, Boston, MA 02115 USA
                [3 ]VA Providence Healthcare System, 385 Niagara Street, Providence, RI 02907 USA
                [4 ]GRID grid.40263.33, ISNI 0000 0004 1936 9094, Brown University School of Public Health, ; 121 South Main Street, Providence, RI 02903 USA
                [5 ]GRID grid.413916.8, ISNI 0000 0004 0419 1545, Central Arkansas Veterans Healthcare System, ; 4300 West 7th Street, Little Rock, AR 72205 USA
                [6 ]GRID grid.241054.6, ISNI 0000 0004 4687 1637, University of Arkansas for Medical Sciences, ; 4301 West Markham Street, Little Rock, AR 72205 USA
                [7 ]VA Office of Mental Health and Suicide Prevention, 810 Vermont Avenue NW, Washington, DC 20420 USA
                Article
                407
                10.1186/s43058-023-00407-5
                10061893
                36998010
                87f4e9ee-8170-4d2f-bf55-7063fe9b4c06
                © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023

                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
                : 30 August 2022
                : 4 March 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100007181, Quality Enhancement Research Initiative;
                Award ID: QUE 15-289
                Award ID: QUE 20-026
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                collaborative care,i-parihs framework,mental health,interdisciplinary care,qualitative research,collaborative chronic care model (ccm)

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