Sustaining and Expanding Internet-Delivered Cognitive Behavioral Therapy (ICBT) for Public Safety Personnel across Canada: A Survey of Stakeholder Perspectives

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Abstract

Public safety personnel (PSP) experience an elevated risk of mental health problems and face barriers to treatment. Internet-delivered cognitive behavioral therapy (ICBT) has been tailored to PSP to improve access to mental health care. In this study, we sought to investigate perceptions of ICBT, particularly among those with and without prior knowledge of ICBT and between PSP leaders and non-leaders. A survey was administered to 524 PSP from across Canada to identify (a) how PSP perceive ICBT, (b) the extent of organizational support for tailored ICBT in PSP organizations, particularly leadership’s support, and (c) perceived facilitators and barriers to funding tailored ICBT. The results indicated that PSP perceive ICBT to have more advantages than disadvantages. PSP who had previously heard of tailored ICBT had more positive perceptions. PSP indicated that there is a need for ICBT, and PSP leaders indicated their support for the implementation of tailored ICBT. The study identified that there is a need for increasing awareness of the effectiveness of and need for ICBT in order to facilitate funding of services. Overall, the current study indicates that PSP support ICBT as a valued form of therapy and that policy makers and service providers seeking to provide ICBT to PSP may increase support for ICBT services through more education and awareness.

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Three approaches to qualitative content analysis.

Hsiu-Fang Hsieh, Sarah Shannon (2016)

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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Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science

Laura Damschroder, David Aron, Rosalind E Keith … (2009)

Background Many 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. Methods We 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. Results The 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. Conclusion The 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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Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update)

Jamie Ross, Fiona Stevenson, Rosa Lau … (2016)

Background There is a significant potential for e-health to deliver cost-effective, quality health care, and spending on e-health systems by governments and healthcare systems is increasing worldwide. However, there remains a tension between the use of e-health in this way and implementation. Furthermore, the large body of reviews in the e-health implementation field, often based on one particular technology, setting or health condition make it difficult to access a comprehensive and comprehensible summary of available evidence to help plan and undertake implementation. This review provides an update and re-analysis of a systematic review of the e-health implementation literature culminating in a set of accessible and usable recommendations for anyone involved or interested in the implementation of e-health. Methods MEDLINE, EMBASE, CINAHL, PsycINFO and The Cochrane Library were searched for studies published between 2009 and 2014. Studies were included if they were systematic reviews of the implementation of e-health. Data from included studies were synthesised using the principles of meta-ethnography, and categorisation of the data was informed by the Consolidated Framework for Implementation Research (CFIR). Results Forty-four reviews mainly from North America and Europe were included. A range of e-health technologies including electronic medical records and clinical decision support systems were represented. Healthcare settings included primary care, secondary care and home care. Factors important for implementation were identified at the levels of the following: the individual e-health technology, the outer setting, the inner setting and the individual health professionals as well as the process of implementation. Conclusion This systematic review of reviews provides a synthesis of the literature that both acknowledges the multi-level complexity of e-health implementation and provides an accessible and useful guide for those planning implementation. New interpretations of a large amount of data across e-health systems and healthcare settings have been generated and synthesised into a set of useable recommendations for practice. This review provides a further empirical test of the CFIR and identifies areas where additional research is necessary. Trial registration PROSPERO, CRD42015017661 Electronic supplementary material The online version of this article (doi:10.1186/s13012-016-0510-7) contains supplementary material, which is available to authorized users.