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Integrating evidence-based practices for increasing cancer screenings in safety net health systems: a multiple case study using the Consolidated Framework for Implementation Research.

ABSTRACT: Implementing evidence-based practices (EBPs) to increase cancer screenings in safety net primary care systems has great potential for reducing cancer disparities. Yet there is a gap in understanding the factors and mechanisms that influence EBP implementation within these high-priority systems. Guided by the Consolidated Framework for Implementation Research (CFIR), our study aims to fill this gap with a multiple case study of health care safety net systems that were funded by an American Cancer Society (ACS) grants program to increase breast and colorectal cancer screening rates. The initiative funded 68 safety net systems to increase cancer screening through implementation of evidence-based provider and client-oriented strategies.Data are from a mixed-methods evaluation with nine purposively selected safety net systems. Fifty-two interviews were conducted with project leaders, implementers, and ACS staff. Funded safety net systems were categorized into high-, medium-, and low-performing cases based on the level of EBP implementation. Within- and cross-case analyses were performed to identify CFIR constructs that influenced level of EBP implementation.Of 39 CFIR constructs examined, six distinguished levels of implementation. Two constructs were from the intervention characteristics domain: adaptability and trialability. Three were from the inner setting domain: leadership engagement, tension for change, and access to information and knowledge. Engaging formally appointed internal implementation leaders, from the process domain, also distinguished level of implementation. No constructs from the outer setting or individual characteristics domain differentiated systems by level of implementation.Our study identified a number of influential CFIR constructs and illustrated how they impacted EBP implementation across a variety of safety net systems. Findings may inform future dissemination efforts of EBPs for increasing cancer screening in similar settings. Moreover, our analytic approach is similar to previous case studies using CFIR and hence could facilitate comparisons across studies.

SUBMITTER: Liang S

PROVIDER: S-EPMC4970264 | biostudies-other | 2016 Aug

REPOSITORIES: biostudies-other

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Project description:PurposeBreast, cervical, and colorectal cancer screening rates are suboptimal in underserved populations. A 7-year quality improvement (QI) project implemented academic detailing and practice facilitation in safety-net primary care practices to increase cancer screening rates. This manuscript assesses barriers and promoters.MethodsPrimary care practices providing care to underserved patients were recruited in New York cities Buffalo, Rochester, and Syracuse. Enrollment totaled 31 practices, with 12 practices participating throughout. Annually, each practice received 6 months of practice facilitation support for development and implementation of evidence-based interventions to increase screening rates for the three cancer types. At the end of each practice facilitation period, focus groups and key informant interviews were conducted with participating personnel. Content analysis was performed annually to identify barriers and promoters. A comprehensive final analysis was performed at project end.ResultsBarriers included system-level (inconsistent communication with specialists, electronic health record system transitions, ownership changes) and practice-level challenges (staff turnover, inconsistent data entry, QI fatigue) that compound patient-level challenges of transportation, cost, and health literacy. Cyclical barriers like staff turnover returned despite attempts to resolve them, while successful implementation was promoted by reducing patients' structural barriers, adapting interventions to existing practice priorities, and enacting officewide policies. During the QI project, practices became aware of the impact of social determinants of health on patients' screening decisions.ConclusionsThe project's longitudinal design enabled identification of key barriers that reduced accuracy of practices' screening rates and increased risk of patients falling through the cracks. Identified promoters can help sustain interventions to increase screenings.

Project description:BackgroundFor successful implementation of an innovation within a complex adaptive system, we need to understand the ways that implementation processes and their contexts shape each other. To do this, we need to explore the work people do to make sense of an innovation and integrate it into their workflow and the contextual elements that impact implementation. Combining Normalization Process Theory (NPT) with the Consolidated Framework for Implementation Research (CFIR) offers an approach to achieve this. NPT is an implementation process theory that explains how changes in the way people think about and use an innovation occurs, while CFIR is a framework that categorizes and describes contextual determinants across five domains that influence implementation. We demonstrate through a case example from our prior research how we integrated NPT and CFIR to inform the development of the interview guide, coding manual, and analysis of the findings.MethodsIn collaboration with our stakeholders, we selected NPT and CFIR to study the implementation process and co-developed an interview guide to elicit responses that would illuminate concepts from both. We conducted, audio-recorded, and transcribed 28 interviews with various professionals involved with the implementation. Based on independent coding of select transcripts and team discussion comparing, clarifying, and crystallizing codes, we developed a coding manual integrating CFIR and NPT constructs. We applied the integrated codes to all interview transcripts.ResultsOur findings highlight how integrating CFIR domains with NPT mechanisms adds explanatory strength to the analysis of implementation processes, with particular implications for practical strategies to facilitate implementation. Multiple coding across both theoretical frames captured the entanglement of process and context. Integrating NPT and CFIR enriched understandings of how interactions between implementation processes and contextual determinants shaped each other during implementation.ConclusionThe integration of NPT and CFIR provides guidance to identify and explore complex entangled interactions between agents, processes, and contextual conditions within and beyond organizations to embed innovations into routine practices. Nuanced understandings gained through this approach moves understandings beyond descriptions of determinants to explain how change occurs or not during implementation. Mechanism-based explanations illuminate concrete practical strategies to support implementation.

Project description:BackgroundHealthcare-related adverse events occur because of complex healthcare systems. The patient safety reporting system is a core component of patient safety initiatives in hospitals. However, hospital management often encounters a cultural barrier with its implementation and struggles to overcome the same. Implementation science would be useful for analysing implementation strategies. This study determines the effects of the implemented strategy on an increase in the number of patient safety reports and the determinants of successful implementation, using the implementation framework.MethodsMixed method analysis was performed in Fujita Health University Hospital (FHUH), a large volume hospital in Japan. We identified strategies to implement the patient safety reporting system by scrutinising internal documents using the Consolidated Framework for Implementation Research (CFIR). The electronic reporting systems developed in 2004 in the FHUH and the number of reports were analysed using the staff data and hospital volumes.ResultsReports (n = 110,058) issued between April 2004 and March 2020 were analysed. The number of reports increased from 2004 to 2008 and from 2013 to 2019, reaching 14,037 reports per year. Between 2009 and 2012, the FHUH experienced a stagnation period where the number of reports were not increasing. From the qualitative materials, we identified 74 strategies which contributed to the implementation of the patient safety reporting system. Among these, the domain of 'intervention characteristics' in the CFIR contained 12 strategies, 'outer settings' contained 20, 'inner settings' contained 21, 'characteristics of individuals' contained 8, and 'process' contained 13. There were two concentrated periods of the implemented strategies, the number was 17 in 2007 and 10 in 2016. These concentrated periods preceded a remarkable increase in the number of patient safety reports.ConclusionsA safety culture had been fostered in FHUH in the study period. A relationship between number of strategies and development of a reporting culture was observed. The intensity of adequate strategies was needed for implementation of patient safety reporting system. Therefore, the implementation framework is useful for analysing patient safety initiatives for safety culture.

Project description:BackgroundMany implementation efforts fail, even with highly developed plans for execution, because contextual factors can be powerful forces working against implementation in the real world. The Consolidated Framework for Implementation Research (CFIR) is one of the most commonly used determinant frameworks to assess these contextual factors; however, it has been over 10 years since publication and there is a need for updates. The purpose of this project was to elicit feedback from experienced CFIR users to inform updates to the framework.MethodsUser feedback was obtained from two sources: (1) a literature review with a systematic search; and (2) a survey of authors who used the CFIR in a published study. Data were combined across both sources and reviewed to identify themes; a consensus approach was used to finalize all CFIR updates. The VA Ann Arbor Healthcare System IRB declared this study exempt from the requirements of 38 CFR 16 based on category 2.ResultsThe systematic search yielded 376 articles that contained the CFIR in the title and/or abstract and 334 unique authors with contact information; 59 articles included feedback on the CFIR. Forty percent (n = 134/334) of authors completed the survey. The CFIR received positive ratings on most framework sensibility items (e.g., applicability, usability), but respondents also provided recommendations for changes. Overall, updates to the CFIR include revisions to existing domains and constructs as well as the addition, removal, or relocation of constructs. These changes address important critiques of the CFIR, including better centering innovation recipients and adding determinants to equity in implementation.ConclusionThe updates in the CFIR reflect feedback from a growing community of CFIR users. Although there are many updates, constructs can be mapped back to the original CFIR to ensure longitudinal consistency. We encourage users to continue critiquing the CFIR, facilitating the evolution of the framework as implementation science advances.

Project description:BackgroundIn 2009, Damschroder et al. developed the Consolidated Framework for Implementation Research (CFIR), which provides a comprehensive listing of constructs thought to influence implementation. This systematic review assesses the extent to which the CFIR's use in implementation research fulfills goals set forth by Damschroder et al. in terms of breadth of use, depth of application, and contribution to implementation research.MethodsWe searched Scopus and Web of Science for publications that cited the original CFIR publication by Damschroder et al. (Implement Sci 4:50, 2009) and downloaded each unique result for review. After applying exclusion criteria, the final articles were empirical studies published in peer-review journals that used the CFIR in a meaningful way (i.e., used the CFIR to guide data collection, measurement, coding, analysis, and/or reporting). A framework analysis approach was used to guide abstraction and synthesis of the included articles.ResultsTwenty-six of 429 unique articles (6 %) met inclusion criteria. We found great breadth in CFIR application; the CFIR was applied across a wide variety of study objectives, settings, and units of analysis. There was also variation in the method of included studies (mixed methods (n = 13); qualitative (n = 10); quantitative (n = 3)). Depth of CFIR application revealed some areas for improvement. Few studies (n = 3) reported justification for selection of CFIR constructs used; the majority of studies (n = 14) used the CFIR to guide data analysis only; and few studies investigated any outcomes (n = 11). Finally, reflections on the contribution of the CFIR to implementation research were scarce.ConclusionsOur results indicate that the CFIR has been used across a wide range of studies, though more in-depth use of the CFIR may help advance implementation science. To harness its potential, researchers should consider how to most meaningfully use the CFIR. Specific recommendations for applying the CFIR include explicitly justifying selection of CFIR constructs; integrating the CFIR throughout the research process (in study design, data collection, and analysis); and appropriately using the CFIR given the phase of implementation of the research (e.g., if the research is post-implementation, using the CFIR to link determinants of implementation to outcomes).

Project description:BackgroundQualitative approaches, alone or in mixed methods, are prominent within implementation science. However, traditional qualitative approaches are resource intensive, which has led to the development of rapid qualitative approaches. Published rapid approaches are often inductive in nature and rely on transcripts of interviews. We describe a deductive rapid analysis approach using the Consolidated Framework for Implementation Research (CFIR) that uses notes and audio recordings. This paper compares our rapid versus traditional deductive CFIR approach.MethodsSemi-structured interviews were conducted for two cohorts of the Veterans Health Administration (VHA) Diffusion of Excellence (DoE). The CFIR guided data collection and analysis. In cohort A, we used our traditional CFIR-based deductive analysis approach (directed content analysis), where two analysts completed independent in-depth manual coding of interview transcripts using qualitative software. In cohort B, we used our new rapid CFIR-based deductive analysis approach (directed content analysis), where the primary analyst wrote detailed notes during interviews and immediately "coded" notes into a MS Excel CFIR construct by facility matrix; a secondary analyst then listened to audio recordings and edited the matrix. We tracked time for our traditional and rapid deductive CFIR approaches using a spreadsheet and captured transcription costs from invoices. We retrospectively compared our approaches in terms of effectiveness and rigor.ResultsCohorts A and B were similar in terms of the amount of data collected. However, our rapid deductive CFIR approach required 409.5 analyst hours compared to 683 h during the traditional deductive CFIR approach. The rapid deductive approach eliminated $7250 in transcription costs. The facility-level analysis phase provided the greatest savings: 14 h/facility for the traditional analysis versus 3.92 h/facility for the rapid analysis. Data interpretation required the same number of hours for both approaches.ConclusionOur rapid deductive CFIR approach was less time intensive and eliminated transcription costs, yet effective in meeting evaluation objectives and establishing rigor. Researchers should consider the following when employing our approach: (1) team expertise in the CFIR and qualitative methods, (2) level of detail needed to meet project aims, (3) mode of data to analyze, and (4) advantages and disadvantages of using the CFIR.

Project description:BackgroundMany interventions found to be effective in health services research studies fail to translate into meaningful patient care outcomes across multiple contexts. Health services researchers recognize the need to evaluate not only summative outcomes but also formative outcomes to assess the extent to which implementation is effective in a specific setting, prolongs sustainability, and promotes dissemination into other settings. Many implementation theories have been published to help promote effective implementation. However, they overlap considerably in the constructs included in individual theories, and a comparison of theories reveals that each is missing important constructs included in other theories. In addition, terminology and definitions are not consistent across theories. We describe the Consolidated Framework For Implementation Research (CFIR) that offers an overarching typology to promote implementation theory development and verification about what works where and why across multiple contexts.MethodsWe used a snowball sampling approach to identify published theories that were evaluated to identify constructs based on strength of conceptual or empirical support for influence on implementation, consistency in definitions, alignment with our own findings, and potential for measurement. We combined constructs across published theories that had different labels but were redundant or overlapping in definition, and we parsed apart constructs that conflated underlying concepts.ResultsThe CFIR is composed of five major domains: intervention characteristics, outer setting, inner setting, characteristics of the individuals involved, and the process of implementation. Eight constructs were identified related to the intervention (e.g., evidence strength and quality), four constructs were identified related to outer setting (e.g., patient needs and resources), 12 constructs were identified related to inner setting (e.g., culture, leadership engagement), five constructs were identified related to individual characteristics, and eight constructs were identified related to process (e.g., plan, evaluate, and reflect). We present explicit definitions for each construct.ConclusionThe CFIR provides a pragmatic structure for approaching complex, interacting, multi-level, and transient states of constructs in the real world by embracing, consolidating, and unifying key constructs from published implementation theories. It can be used to guide formative evaluations and build the implementation knowledge base across multiple studies and settings.

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Integrating evidence-based practices for increasing cancer screenings in safety net health systems: a multiple case study using the Consolidated Framework for Implementation Research.

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