Keywords
Barriers and Facilitators, Emergency Care Settings, Screening, Screening Tools, Qualitative Evidence Synthesis, Stakeholder Experience, “Best Fit” Framework Synthesis
Barriers and Facilitators, Emergency Care Settings, Screening, Screening Tools, Qualitative Evidence Synthesis, Stakeholder Experience, “Best Fit” Framework Synthesis
The problem of ED crowding is well recognised and includes significant negative consequences, including adverse patient outcomes and staffs’ inability to adhere to evidence-based treatment (Morley et al., 2018). Older adults with complex and chronic conditions have emerged as drivers of ED crowding; however, chronic illnesses and complexities among diverse adult populations have also posed a problem (Morley et al., 2018). Identification of these complex patients who are at increased risk of adverse outcomes such as ED re-presentation, functional decline and unplanned hospitalisation may offer one solution to tackle the problem of ED crowding (Kirk et al., 2016). Successful implementation of screening tools in ED settings would make it possible to identify those most at risk and target interventions for this vulnerable group (Kirk et al., 2016). Screening within the ED can assist staff in identifying frailty and frailty risk, sepsis risk, functional decline and risk of adverse outcomes and falls risk among adults. Screening can assist staff in identifying those most in need of referral and specialized intervention; however, in a busy ED environment the implementation of screening can be problematic (Asomaning & Loftus, 2014). Successful implementation is dependent on pre-implementation adaptation and testing and staff education (McCusker et al., 2007). It is also vital to identify barriers and facilitators to the implementation of screening tools to ensure adequate uptake among staff and ensure systematic screening (Kirk et al., 2016).
Studies have revealed that a lack of resources, poor adaptation of tools to local guidance and structure and a lack of distinction between screening and assessment tools have been significant barriers to the utilization of screening tools in the ED (McCusker et al., 2007). Implementation of new practices within the ED have also proved to be problematic due to perceived irrelevance of screening in such a critical environment, time pressures, practice demands and a high level of stress and unpredictability (Asomaning & Loftus, 2014; Creswick et al., 2009; Tavender et al., 2014). The emphasis of flow culture within the ED also presents as a barrier within the literature, with staff resisting screening tools that do not support the flow of patients (Kirk & Nilsen, 2015). Staff were lacking a long-term viewpoint where screening individuals for adverse outcomes and risk and intervening to reduce the incidence of readmission, in particular, should be favoured over moving patients through the ED quickly without adequate assessment and intervention.
Local culture has a significant impact upon professionals’ roles, responsibilities and identity, actions and sense making and provides different ways to perceive barriers and facilitators linked to new screening tools (Kirk et al., 2016). According to Kirk et al. (2016), it is vital to understand the local culture before any implementation strategy linked to screening tools is planned. In addition, researchers must understand how new tools make sense in a cultural context before planning any strategies (Kirk et al., 2016). Research demonstrates that multiple factors impact upon the screening process, many of which need to be explored at a local level to ensure optimal implementation. A broader and updated perspective inclusive of organisational, professional and patient associated barriers and facilitators is warranted, justifying this broader review methodology inclusive of adult screening and multiple screening methods in the ED. This review will explore qualitative evidence that pertains to stakeholders’ perspectives, perceptions and experiences of barriers and facilitators to implementing screening tools in the ED.
“Best Fit” framework synthesis (BFFS) produces context specific conceptual models which assist in explaining or describing the health behaviours or decision-making of patients or other groups using a pragmatic and transparent process (Dixon-Woods, 2011). In addition, this process can assist in generating programme theories relating to intervention effectiveness (Carroll et al., 2013). This method involves the creation of an a priori framework upon which thematic synthesis of primary research can be based. The framework is created utilising current models, theories and concepts that pertain to the topic under exploration; this framework is then utilised to inform the thematic synthesis of primary research studies identified during the review process (Carroll et al., 2013). This approach is often dependent on whether the framework is built upon emergent, established, refined or tentative theory and requires thoughtful consideration (Brunton et al., 2020). This interpretive methodology is deemed to be advantageous as it is reproducible, based on the current evidence base and, therefore, directly applicable to those who wish to inform practice or policy. This allows the reviewer to build upon existing models, from a potentially different but relevant population, and interrogate the testability, internal logic and fit within the evidence base (Carroll et al., 2011; Kelly et al., 2010). In addition, BFFS is well suited to improvement work as an activity rich in theories, where behavioural, social, organisational and implementation theories and frameworks might all be considered relevant (Booth & Carroll, 2015). Two separate sets of inclusion criteria, searches and study selections must be established, one to identify models, theories and frameworks and one for populating the systematic review of primary qualitative research studies (Carroll et al., 2013) (Table 1) Both searches are conducted simultaneously but independently. At the framework synthesis stage, the two “strands” then join together. This process will be reviewed and supported by an independent reviewer and any conflicts will be reviewed by the wider review team.
Initially, a framework of a priori themes needs to be created. This will be achieved by employing the BeHEMoth strategy to identify relevant models and theories (Booth et al., 2013) (Table 2). CINAHL, MEDLINE, PsycINFO and PubMed will be interrogated using a combination of free text and database thesaurus/subject terms for the behaviour of interest and health context with terms for models and theories. Reviews, regression models or integrative models will be excluded by using database filters. Results will be dual screened (title and abstract) and the full text of potentially relevant publications will be retrieved and checked for relevance. Additional relevant citations may be sourced in the reference lists of all papers satisfying the inclusion criteria. Reporting of the search strategies will be represented on PRISMA flowcharts (Moher et al., 2009). The a priori framework will be formed through secondary thematic analysis of findings from studies identified through the systematic search and screening process. The Braun & Clarke (2006) framework will be utilised. This form of inductive analysis is grounded in the data, interpretive and consistent with the process for the “best-fit” methodology. In addition, it more accurately reflects the data assisting in the identification of differences and similarities between models or theories and name them as themes (Carroll et al., 2013). Definitions, based on the elements of the original papers, will support these themes (Carroll et al., 2013). This process will then form “concepts”.
As highlighted above, for the specific search for primary research studies, qualitative or mixed-methods will be eligible for inclusion. Studies must have used qualitative data collection (e.g. semi-structured interviews, observation) and analyses methods (e.g. thematic analysis, grounded theory). Peer reviewed journal articles or non-peer reviewed items including unpublished research articles and theses may be included. Grey literature sources including guidelines, reports and theses are also deemed suitable for inclusion and sourcing of these materials will be included in the search strategy. Quantitative studies, literature reviews and Non-English language studies are not deemed eligible for inclusion. Studies that pertain to the assessment/screening of adults (>18 years) will only be considered. Included studies must explicitly discuss factors that can impact on screening or the implementation of screening within the ED. If qualitative results can clearly be extracted from quantitative results, mixed-method/multiple-method studies can be included. To ensure the relevance and specificity of included articles, the formulation of inclusion and exclusion criteria was completed collaboratively by LB, PM and RG and is reflected in Table 3.
In collaboration with a medical librarian, a systematic search strategy for six databases Scopus, CINAHL, Medline, Embase, Pubmed and Cochrane was formulated. Grey literature sources were also included and were Open Grey, Google Scholar, Lenus Irish Health Repository, Science.Gov and Embase Grey Literature sources. A multistep approach was used to source primary literature. This included keyword searching of electronic databases, using medical subject headings (MeSH) and specific database headings to further identify search terms, using truncation to broaden the search and ensure all appropriate key words were used (Booth, 2016). Literature published in journals between 2009 and 2020 were included. These dates were chosen to ensure the most up to date salient literature was sourced given the changes in healthcare and technology in recent years. Certain terms will be truncated to ensure all spellings are captured. Specific database features will be utilised to enhance the search strategy e.g. refining the search using CINAHL, search queries and adjacency searching in Cochrane. Please see Table 4 for sample Medline search string.
All references will be imported into Rayyan (Ouzzani et al., 2016) and duplicates removed. LB and a second independent reviewer (PM) will screen titles and abstracts independently. Where conflicts emerge LB and PM will resolve these collaboratively, RG will assist in decision-making should conflicts fail to be resolved. Full texts of the articles that remain will be retrieved for screening by LB and PM against the pre-defined inclusion/exclusion criteria. If required, authors will be contacted for further clarification and information. Similarly, any conflicts will be discussed and RG can assist with decision-making if conflicts cannot be resolved.
The quality of all included studies will be assessed using the Critical Appraisal Skills Programme (CASP). Noyes et al. (2019) offered guidance on the critical aspects of the appraisal process from the Cochrane Qualitative and Implementation Methods Group. They advised that appraisal should include clarity with regards to research aims and questions, congruence between the research design and methodology and the research aim and question, rigor of case and/or participant identification, sampling and data collection to answer the research question and appropriate application of the methods, which includes research reflexivity and richness/conceptualisation of the depth of findings. The appraisal will be carried out independently by the lead author (LB) and by a second independent reviewer (RG). Data for analysis will be extracted by either verbatim quotation from study participants or findings reported by authors that are clearly supported by study data. These data will be coded against the a priori concepts. Therefore, new themes are generated from evidence that was not already captured by this framework. These new themes will be based on reviewer’s interpretation of the evidence and comparison across studies. Dual checking for consistency of extraction across studies and coding of results data for all papers against the a priori concepts derived from the relevant conceptual model will also be undertaken by LB and PM. New themes for evidence or findings that could not be accommodated will be analysed using the Braun & Clarke (2006) thematic analysis framework.
The final list of concepts will be synthesized with reference to the extracted data from the included studies, to construct a new evidence based conceptual model regarding the barriers and facilitators to screening in the emergency department (Carroll et al., 2013). Data extraction will be facilitated within Google forms, where the a priori framework will be represented in individual categories. Themes and representative quotations from the primary research studies and grey literature sources will be categorised along with the a priori foundational themes. Firstly, a simple list of defined themes, underpinned by the evidence from the included studies, and any new themes generated by the thematic analysis of any primary research that falls outside of the a priori framework will form a conceptual framework. Relationships between individual concepts will then be explored with reference to the evidence; this will then lead to a clustering of concepts and the creation of a new conceptual model describing and reflecting the behaviour of interest, representing the foundational model and theory in conjunction with the themes and concepts extracted from the primary data (Carroll et al., 2013).
A QES aims for a greater variation of concepts through analysis and synthesis versus an exhaustive sample that avoids bias (Ames et al., 2017). Therefore, larger study numbers can negatively impact on the quality of analysis and synthesis in a QES (Ames et al., 2017). In addition, data saturation may be associated with the stage when the inclusion of further evidence provides little in terms of further themes, insights, perspectives or information in a qualitative research synthesis (Suri, 2011). Therefore, if larger numbers of studies are deemed suitable for inclusion after screening, a purposive sample from eligible studies may be taken after extraction of the relevant data. This can be undertaken collaboratively by three review team members, PM, LB and RG. If required, maximum variation sampling will be undertaken with the aim of achieving the broadest possible variation within the included studies (Suri, 2011). The sampling criteria and purposive sampling frame will then be formulated based on the results of the screening and data extraction. The ultimate goal is to ensure that rich data is captured and, consequently, that review objectives and aims are met. Employing maximum variation sampling can assist research synthesists in identifying essential and variable features of a phenomenon, as experienced by diverse stakeholders among varied contexts a QES (Suri, 2011).
The Grading of Recommendations Assessment, Development and Evaluation (GRADE) Confidence in Evidence from Reviews of Qualitative Research (CERQual) approach will be used to enhance transparency and confidence in reporting of QES findings. Its use is evidence-based and there are extensive resources to support reviewers in using this approach. GRADE CERQual supports the use of QES findings in decision-making, guideline and protocol development and to inform further research (Houghton et al., 2017). Four components are assessed during the GRADE CERQual process: Methodological Limitations, Coherence, Relevance and Adequacy.
The methodological limitations component will be satisfied using the CASP appraisal tool. This approach also assesses the coherence and relevance of individual review findings and in this case will indicate how major themes and sub-themes reported are grounded in the data included from primary studies and is applicable to the overall review aim (McGrath, 2019). The quantity and richness of the data supporting the review findings will also be assessed using this approach to ensure adequacy. The GRADE CERQual process will be undertaken by LB and PM and reviewed by RG, and areas of concern will be pin-pointed for each component (Table 5). RG will check individual review findings for adequacy, relevance and coherence. Each phase will be discussed by the reviewers and conflict resolution will be attained through discussion and consensus.
GRADE, Grading of Recommendations Assessment, Development and Evaluation; CERQual, Confidence in Evidence from Reviews of Qualitative Research; CASP, Critical Appraisal Skills Programme (Lewin et al., 2015).
CERQual summary of findings tables will be populated for each review finding and will include the specific review finding under scrutiny, the assessment rating (very low, low, moderate or high confidence), rationale for this assessment and the number of studies that contributed to this review finding or theme (Colvin et al., 2018; Glenton et al., 2018). The applicable QES objective and the perspective taken in the synthesis will also be included in the table to give context to the analysis of each individual finding/theme. All findings are recommended to start off with high confidence and are rated down if there is any concern re CERQual components (Lewin et al., 2015). The reviewers will remain mindful of possible interactions across components and look iteratively to make a final assessment (Lewin et al., 2015).
For the purposes of this synthesis, the findings will be considered in the context of research team members’ views and experiences (Larkin et al., 2019). All four authors have backgrounds in health science and health services research. The authors have operated within the Irish and other healthcare contexts, one in allied health (RG) and three in nursing and midwifery (LB, PM, SMT). All four authors have experience pertaining to qualitative evidence synthesis, with one author having particular expertise pertaining to QES (PM). RG has particular expertise pertaining to screening in the ED. In relation to analysis, the lead researcher conducting the analysis (LB) has experience pertaining to screening in the ED but works outside of the ED as a nurse researcher. Two authors have expertise and experience in ED clinical assessment, development of screening protocols and change management within the ED (DR, MOC). As reflected in this protocol, authors will discuss and examine and consider the significance of their beliefs, attitudes and preconceptions surrounding the research question and methodology during each stage of analysis (Larkin et al., 2019).
Findings will be submitted to a peer-reviewed journal for publication. Dissemination of results among stakeholders and members of the research project team will be via oral presentation. Relevant international academic conferences in the areas of emergency and acute care and the care of older people will also be targeted. Dissemination of research findings to local and national health service management will be achieved through online platforms, video conferencing and targeted dissemination to key stakeholders via e-mail where appropriate.
DANS-EASY: PRISMA-P checklist for “The barriers and facilitators to screening in emergency departments: a qualitative evidence synthesis (QES) protocol”. https://doi.org/10.17026/dans-zyc-9ega (Barry, 2020)
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Partly
Are sufficient details of the methods provided to allow replication by others?
Partly
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Emergency, Advanced Nursing Practice.
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Partly
Are the datasets clearly presented in a useable and accessible format?
Not applicable
References
1. Xyrichis A, Mackintosh N, Terblanche M, Bench S, et al.: Healthcare stakeholders’ perceptions and experiences of factors affecting the implementation of critical care telemedicine (CCT): qualitative evidence synthesis. Cochrane Database of Systematic Reviews. 2017. Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Evidence synthesis methodologies.
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