- Open Access
Defining barriers and enablers for clinical pathway implementation in complex clinical settings
Implementation Science volume 13, Article number: 139 (2018)
While clinical pathways have the potential to improve patient outcomes and reduce healthcare costs, their true impact has been limited by variable implementation strategies and suboptimal research designs. This paper explores a comprehensive set of factors perceived by emergency department staff and administrative leads to influence clinical pathway implementation within the complex and dynamic environments of community emergency department settings.
This descriptive, qualitative study involved emergency health professionals and administrators of 15 community hospitals across Ontario, Canada. As part of our larger cluster randomized controlled trial, each site was in the preparation phase to implement one of two clinical pathways: pediatric asthma or pediatric vomiting and diarrhea. Data were collected from three sources: (i) a mediated group discussion with site champions during the project launch meeting; (ii) a semi-structured site visit of each emergency department; and (iii) key informant interviews with an administrative lead from each hospital. The Theoretical Domains Framework (TDF) was used to guide the interviews and thematically analyze the data. Domains within each major theme were then mapped onto the COM-B model—capability, opportunity, and motivation—of the Behaviour Change Wheel.
Seven discrete themes and 58 subthemes were identified that comprised a set of barriers and enablers relevant to the planned clinical pathway implementation. Within two themes, three distinct levels of impact emerged, namely (i) the individual health professional, (ii) the emergency department team, and (iii) the broader hospital context. The TDF domains occurring most frequently were Memory, Attention and Decision Processes, Environmental Context and Resources, Behavioural Regulation, and Reinforcement. Mapping these barriers and enablers onto the COM-B model provided an organized perspective on how these issues may be interacting. Several factors were viewed as both negative and positive across different perspectives. Two of the seven themes were limited to one component, while four involved all three components of the COM-B model.
Using a theory-based approach ensured systematic and comprehensive identification of relevant barriers and enablers to clinical pathway implementation in ED settings. The COM-B system of the Behaviour Change Wheel provided a useful perspective on how these factors might interact to effect change.
The evidence-to-practice gap remains a healthcare challenge [1,2,3,4,5,6,7,8]. While knowledge syntheses and clinical practice guidelines (CPGs) have emerged as rigorous means to translate and make research more accessible for practitioners, these are not sufficient to change practice behaviour, especially in complex settings such as the chaotic environment of an emergency department (ED) [9, 10]. As a tool to operationalize best evidence recommendations and CPGs into an accessible bedside format for healthcare teams, the clinical pathway (CP) is a potentially important strategy for effective knowledge translation. CPs have the capacity to promote standardized evidence-based practices, patient safety, and health system efficiency [11,12,13,14,15,16,17,18,19]. CPs can reduce a clinician’s cognitive load (mental effort) to allow them to focus on more complex, thought-requiring activities . A well-designed CP can support healthcare teams to deliver key management priorities in a timely manner. As a result, CPs are increasingly used in healthcare settings and recommended by broader healthcare systems internationally as a form of quality improvement [21, 22]. However, CPs are infrequently used outside of academic or large EDs, and their impact in community settings remains unknown . In the field of emergency medicine, there is exceeding demand to achieve improved wait times and patient throughput . This pressure threatens the safe and quality care that is important to ED healthcare providers who must contend with a diverse population of varying ages, medical conditions, and treatments.
Most CPs are developed internally within a hospital. As such, CP quality may be limited by lack of rigour and expertise locally in interpreting best evidence for incorporation into that pathway. Expert-developed CPs, created by multidisciplinary teams of clinicians, researchers and end-users at broader regional and national levels offer an opportunity for high-quality content and professional design. Expert CPs can be a means to ensure the standard of care is provided across different jurisdictions. However, while contextual knowledge may facilitate local uptake of internally developed CPs [11, 24, 25], expert-developed CPs may pose greater challenges with local implementation.
Although CPs have the potential to link evidence to practice via integration of CPGs into local systems and improve patient outcomes while decreasing health costs, their true impact has been limited by variable implementation strategies and sub-optimal research designs [26,27,28,29,30]. Evidence is limited on the optimal process of CP implementation [27, 29, 31]. Expert CPs cannot simply be imposed, and implementation at the local level, especially in community ED settings, can be challenging [32, 33]. An effective implementation strategy requires a thoughtful understanding of current and anticipated obstacles . Because ED-based CPs generally involve the full health team, hospital contextual issues and ED team dynamics may be key factors. Evidence-based strategies used to implement CPGs may not be sufficient to promote CP adoption in ED settings, as the complexities of behaviour change among health providers are compounded by organizational and system-level barriers. Effective strategies for implementing CPs in these settings are largely unknown , and this knowledge gap must be addressed before their full impact can be realized.
Some have advocated for the use of models and change management theories to design successful CP implementation . In a retrospective study of managerial factors associated with failed and successful CP implementations, key success factors included alignment of goals, choice of CP, and leaders’ roles . However, few studies have prospectively tested and associated specific intervention components with successful implementations. Within emergency medicine , calls have been made for an increased focus on implementation science research to identify success factors for the implementation of evidence-based interventions. A recent systematic scoping review of implementation research in emergency medicine found that analysis of factors and use of theory to understand these factors occurred infrequently in the papers reviewed . Rather than the current best-guess approach to implementation, the authors recommend systematic assessments of critical barriers and enablers, guided by theory-based approaches to understand key behavioural determinants that will inform targeted intervention design. We found one such paper, although in a different field, that identified five themes of potential implementation barriers and enablers for a CP to screen for anxiety and depression in cancer care . Clearly, more of this work is needed in emergency medicine and other fields. This study uses implementation theories to understand clinical practice change in complex and dynamic environments, such as the ED setting.
We are currently evaluating the implementation of two expert-derived emergency care CPs: (i) asthma and (ii) vomiting and diarrhea (V&D) in children in two separate cluster randomized controlled trials (RCTs) being conducted in 15 community EDs across Ontario, Canada . We began with a set of core components, based on our clinical and leadership experience in outreach initiatives , and sought to tailor our intervention strategy to address relevant issues among the study sites. The aim of this research was to identify a comprehensive set of factors perceived to influence the implementation of asthma and V&D CPs within community ED settings. This pre-implementation study documents foundational research prior to implementation of the CPs in the 15 EDs.
Design and participants
We conducted a descriptive, qualitative inquiry to understand barriers and enablers to implementing the CPs. The study sites included 15 community EDs across Ontario, Canada, representing different annual patient census volumes and urban/rural contexts. Each site identified one ED nurse and one ED physician (‘champion pairs’) to liaise with our study team, recruit participants, and assist with local implementation of the CP. Potential participants included administrative leads (i.e., ED director, manager, or hospital lead) and ED physicians and nurses. The study was approved by the Research Ethics Boards of the Children’s Hospital of Eastern Ontario and each of the 15 partner hospital organizations.
To develop a rich data set about potential barriers and enablers within these complex systems, we took a broad approach by collecting data using three different, but complementary, strategies. For each strategy, we created distinct data collection guides informed by the Theoretical Domains Framework (TDF) , which represents a comprehensive set of 14 theoretical domains derived from behaviour change theories and constructs. The TDF provides a useful approach to explore individual and system-level factors that affect behaviour change strategies .
A daylong project launch meeting, involving champion pairs from all 15 ED sites, was held in September 2013 in Toronto, Ontario. During this meeting, we held a 90-min mediated group discussion including all site champions. A semi-structured question guide was used to solicit information regarding potential barriers and facilitators to implementing one of the CPs in their respective EDs. The items were based on our previous CP implementation experience  and included issues such as concerns about and foreseeable barriers to implementing such an initiative in their EDs. A trained qualitative research coordinator (KR) facilitated the discussion and several team members took detailed notes. The discussion was audio-recorded and later transcribed, along with the field notes.
Site visits were conducted at all 15 EDs between August 2013 and January 2014 and included a discussion with the designated site champions and a diverse sample of ED physicians and nurses. A semi-structured guide was created to organize and structure data collection at each site. This guide included general demographic, staffing, and organizational issues, such as experience with standardized protocols, reaction to pediatric patients, and anticipated CP implementation barriers. To ascertain typical assessment and treatment practices for pediatric patients with asthma or V&D in their ED, a think aloud question guide was also created to “walk through” a scenario with each nurse and physician interviewed. For example, for a child presenting with respiratory difficulty, the triage nurse is asked whether any standardized tools are used to assess severity. The ED treating nurse is asked about comfort with initiating treatment prior to physician assessment, and the ED physician is asked about confidence in the nursing team to initiate this therapy. The principal investigator, a pediatric emergency physician (MJ), and a pediatric emergency nurse study coordinator (DD) conducted the interviews at each site using the question guide and took detailed notes during the visit. Each visit also included a physical tour of the ED to assess design and workflows, with emphasis on pediatric patients.
Key informant (KI) interviews were held with an ED or hospital administrative lead from each site. All interviews were guided by a 31-item open-ended questionnaire based on the TDF, with questions such as (i) how confident do you feel in your hospital’s ability to implement a clinical pathway to manage pediatric asthma?; and (ii) what do you think are the consequences for your hospital of using the clinical pathway to treat pediatric asthma in the emergency department? We piloted the interview guide with nearby community ED leads not involved in this study. All telephone interviews were conducted by telephone by the study coordinator (KR) from October 2013 to February 2014. Each participant was made aware of the study aim. In recognition of participants’ time and expertise, each was offered a $50 honorarium.
The audio files from Strategy 1 and 3 interviews were transcribed verbatim by an external contractor. The transcripts were then anonymized and imported into NVivo 10 [QSR International] for analysis, along with the transcribed field notes taken from the mediated group discussion and site visits.
Analysis followed four steps detailed below. During the study, the principal investigator (MJ), study nurse coordinator, and qualitative research coordinator worked closely with each of the sites. Study co-investigators were later engaged in the data analysis; these individuals were not known to or familiar with the staff or environmental issues at these study sites.
The research coordinator (KR) reviewed the transcripts and notes to gain a sense of the data, then used a directed content analysis approach  to code the data using the 14 domains of the TDF as a coding framework. The research team met several times to refine categories and clarify any issues. The second coder (DD) independently coded 30% of each type of documents to ensure inter-rater agreement. Using an iterative process, the coders met four times to review coding, resolve any problems or discrepancies, and reach consensus on the coding. When necessary, one of two investigators (MJ, JC) was involved to resolve any disputes. The coding was then revised to reflect these discussions. Memos were used to record relevant discussions and coding notes.
Generating belief statements/themes
KR then examined data coded into each of the domains to generate common belief statements that suggested a problem and/or influence on CP implementation . These summaries were reviewed for accuracy by the second coder (DD) and refined further by two of the investigators (MJ, JC). These were then grouped into broader themes/sub-themes of barriers and enablers for CP implementation in these ED sites.
Linking barrier/enabler themes to relevant theoretical domains
Consistent with previous studies [43, 46, 47], TDF domains were deemed important to CP implementation if (i) they contained multiple themes/subthemes, (ii) conflicting themes/subthemes existed for that domain, or (iii) the themes within the domain were identified as having a strong impact on CP implementation (crossed multiple domains). These criteria were reviewed concurrently in a series of web-conference meetings involving three of the investigators (MJ, JC, MN). The principal investigator (MJ) created definitions for each theme and subtheme that were reviewed and approved by two other co-investigators (JC and MN). MJ identified a set of illustrative quotes for each subtheme from the coded transcripts. Using a consensus process, where discussions were held to review and resolve differing perspectives, we then selected the most salient of these quotes for each theme, highlighting subthemes and relevant TDF domains within each theme. For additional rigour, the co-principal investigator (DWJ) joined the process to validate and further refine the findings. Using a consensus process through a series of webinar meetings, one to two exemplar quotes were selected for each subtheme. Webinar discussions were audio-recorded for later reference.
As a final step, the identified domains and cross-cutting major themes were mapped onto the Behaviour Change Wheel (BCW), a synthesis of 19 behaviour change frameworks from a range of disciplines and approaches . Within the BCW, three sources—capability, opportunity, and motivation—interact to generate behaviour (COM-B system) and specific TDF domains have been described to align with these sources of behaviour . This structured behavioural system assists with linking relevant themes identified through TDF analysis in Step 3 with intervention functions and policy options that may be useful to consider in designing an implementation strategy.
Demographics of the 15 partner ED sites are summarized in Table 1. These included a range of total annual and pediatric volumes, community types, and access to Pediatric consultants. Sources for each data collection strategy are shown in Table 2. Participants from all 15 study hospitals were represented at the mediated group discussion, including the ED physician and ED nurse champions from each site. Three study hospitals had more than one campus; two of these included different administrative leads. In total, 17 key informant interviews were conducted, with a duration between 15 and 60 min (mean = 28.4; min SD = 11.2 min). No repeat interviews were conducted. Site visits were conducted at each hospital and involved discussion with one or both site champions, as well as ED physicians and nurses currently on duty. Many consistencies were found across the three data collection strategies, such as perceived value of these standardized tools, relative lack of comfort and expertise with pediatric patients, and challenges of the chaotic ED environment and many competing priorities. However, some differences were also found across these strategies. Comments expressed at the mediated group discussion were more supportive and consensus-building in nature, while the KI interviews expressed more challenges as seen by ED leaders. Data from the site visits provided variable front line perspectives from ED staff and physicians, tending to reflect cultural issues within that ED.
Relevant TDF domains: barriers and enablers to implementing the asthma or V&D CPs in EDs
Seven major themes and fifty-eight sub-themes of barriers and enablers were identified as relevant to CP implementation, as shown in Table 3. These include the following themes: (1) CP Tools and Standardization; (2) Pediatric/Patient-specific Issues; (3) Professional Issues; (4) Team Dynamics; (5) Strategies for Success and Sustainability; (6) Hospital Resources and Processes; and (7) Quality and Process Improvement. Within the first two themes, three distinct levels of impact emerged: (i) the ED health professional at an individual level, (ii) the ED Team, and (iii) the broader hospital context. Sub-themes clustered most within the first theme (CP Tools and Standardization), occurring equally amongst each level of impact. The themes Team Dynamics and Hospital Resources and Processes had the next most frequent number of subthemes. The fewest number occurred within the Quality and Process Improvement theme.
Each subtheme was assigned to one or more relevant TDF domains, resulting in a total of 86 domain assignments across the subthemes. All 14 domains were represented, but to varying extents. The most frequently occurring TDF domains were Memory, Attention and Decision Processes, which was relevant within four different themes, and Environmental Context and Resources, which clustered heavily within the Hospital Resources and Processes theme. The Behavioural Regulation and Reinforcement domains were also frequently identified.
Mapping themes onto the behaviour change wheel
Figure 1 illustrates how the full set of 86 TDF domains relating to the barrier and enabler subthemes maps onto the corresponding COM-B intervention factors. Some themes, such as the Quality and Process Improvement and Hospital Resources and Processes, mapped exclusively to specific intervention factors, namely Reflective Motivation and Physical Opportunity, respectively. Other themes were distributed more evenly across the factors. Our findings are further described below based on the Behaviour Change Wheel COM-B model.
Knowledge, skills, memory, attention and decision processes, behavioural regulation
Participants identified the importance of knowing the CP exists and believing that it is high quality and based on best available evidence: Equally important, the CP tools needed to be easily accessed within the ED and user-friendly with minimal duplication efforts.
“And so I think simplicity is very important.” [KI Interview Site 3].
“The docs tell me they don’t want to be writing it twice because you write the orders right on the chart right when you see the patient, and then you got to go and get some order set and start ticking off other things again.” [KI Interview Site 3].
Various ongoing and competing priorities within the ED threatened use of the CP; until it is ingrained in practice, there will be more cognitive demands with using versus not using it. Moreover, because in some settings, there were relatively infrequent opportunities to use the CP, staff needed to remember to use it. However, several educational and behavioural regulation strategies were identified that could be helpful.
“Right and if there’s data or graphs to show a decrease in length of stay, an increase in health of the child, the effects of using that pathway, that’s always good to show docs because they’re data driven but we’re … our department is very data driven so I mean those kinds of education pieces are valuable” [KI interview site 10].
Experience with other pathways and standardization tools were thought to be helpful for implementation: “I feel fairly confident; we’re a group that’s quite familiar with change. We’ve done several initiatives in the past that looked at process improvement, so I don’t foresee any issues with the adoption of it.” [KI Interview Site 17]. Additionally, several conflictual issues were identified related to Capability. First, while some believe that utilization of the pathway among physicians can be facilitated by simply handing this to them, others expressed more challenges with consistency given the infrequent and variable presence of some physicians.
“I think some of them will be brought on board, again, just by the fact that the nurse will have handed them the protocol and so it’s right there in front of them so they’re going to use it because it’s there.” [Mediated Group Discussion].
“Our docs typically may only spend one, maybe two shifts a week in the emerg department. And so we may have a locum who spends only one shift a month in our hospital. So they are a much harder group to get consistent because they’re just not there enough.” [KI Interview Site 7].
Secondly, due to ubiquitous staffing pressures, the reality of inexperienced RNs and part-time or locum MDs was felt by some to limit their ability to use the CP. However, their lack of ingrained practices might facilitate CP uptake if this was understood as the standard within a given ED. Finally, the relative infrequency of pediatric visits resulted in less opportunity for use and comfort with the CP. In contrast, a CP tool was deemed by some as even more helpful given this relative lack of pediatric experience.
Social/professional role and identity, beliefs about capabilities, beliefs about consequences, optimism, goals, intentions, reinforcement, emotion
Participants expressed a strong commitment to best practice and best patient outcomes. “If that is best practice for the patient we’re all about giving best practice and high standards of care to the patients so that’s the main point right there.” [KI Interview Site 10]. Specific commitment was noted at an administrative/leadership level to do what is required for successful CP implementation: “… because it comes in surges and it can actually slow a department down drastically if you have an onslaught of patients with the same presentation and you have a team of doctors who each decide to treat it differently.” [KI Interview Site 13].
Participants also frequently described a fear of pediatric patients, as they can deteriorate quickly, and as a result, have the staff “at attention”. This was compounded by the associated parental emotions and expectations. Hence, staff and physicians were interested in a CP tool that guided the care of pediatric patients.
“[There is a] higher level of alertness for pediatric patients. They compensate until they get very sick; [they can] deteriorate quickly.” [Site 11, site visit].
“My personal view is that because of the complexity and the variability of a pediatric patient population, a pathway is very helpful. Because it can … it’s easy to get off course when you have huge variability and it, actually the pathway can kind of hold you to best practice and hold you to next steps.” [KI Interview Site 4].
“I think people are pleased that kids feel better and so … that sort of loops back on their decision making to continue to do it… I mean it’s re-evaluated on a patient to patient basis and I think people feel generally positive about the experience and so we keep using it.” [KI Interview Site 14].
Conflictual issues were also identified. The CP shifts the scope of work within the ED team, with more responsibility for RNs. This was perceived favourably among RNs and many MDs. However, the CP was also seen to threaten autonomy and decision-making among MDs, especially when it is viewed cynically as “cookbook medicine”: “So, there may be some physicians who cannot relinquish that sense of responsibility to the triage nurse staff that they are capable of doing … assessing the child properly. But I have great faith in my nursing staff. You might get those two different opinions.” [KI Interview Site 6].
While positive patient benefits were highly motivating to ED staff and physicians, they were offset by the competing priorities and change fatigue present in many ED settings. It was also felt that the CP can result in positive impacts such as wait time metrics, patient satisfaction, and outcomes. However, concern was raised that some metrics may not improve or become worse. Finally, participants perceived conflicting confidence in interdisciplinary capabilities to use the CP, including physician concern with nurses’ ability to use the medical directives and nurses concern that physicians would not follow the CP.
Environmental Context and Resources, Social Influences
Issues related to hospital resources and processes were frequently cited as relevant to potential success with CP implementation. These included committee approval processes, which can introduce lengthy delays, staffing issues, competing organizational priorities, physical design and space, and funding incentives such as the ED wait-times initiative that involves all the study hospitals. Again, competing ED priorities were viewed as a potential threat to CP use, especially in hospitals where the CP condition was not deemed a priority issue.
“So, I believe when the organization started looking at standardizing practices, they looked at our top twenty CMGs [case mix groups], case management groupings and this was … pediatrics was not one of them.” [KI Interview Site 9].
Challenging periods, such as high patient volumes or acuity, were also seen as threatening for CP use although several participants acknowledged that it is during these times that CPs can be most helpful. Some leaders viewed this planned implementation as a helpful experience for successive implementation initiatives. Finally, interdisciplinary influences and pressures for conformity within a team were also noted factors in CP adoption within that team. Participants expressed how nurses impact physician behaviour and vice versa, especially related to their adaptability, buy-in, or resistance in accepting and adopting the CP.
Using a multi-pronged qualitative approach in 15 hospital settings, we identified a comprehensive set of barriers and enablers that could affect CP implementation in community EDs. These factors are clustered within seven distinct themes, including (1) CP Tools and Standardization; (2) Pediatric/Patient-Specific issues; (3) Professional Issues; (4) Team Dynamics; (5) Strategies for Success and Sustainability; (6) Hospital Resources and Processes; and (7) Quality and Process Improvement. Additionally, three distinct levels of impact were identified across two of the themes, namely the ED health professional, ED team, and the hospital context levels, while the remaining themes clustered more within a specific level.
Our findings suggest that successful CP implementation in these complex clinical settings requires addressing barriers and enablers at multiple levels, individual providers (frontline and leadership), ED health teams, and the broader hospital context. Moreover, a systematic approach attending to all three levels of impact will be important. A motivated and well-intentioned professional is not sufficient if the team is not interested, or if the system does not support the implementation. Similarly, the system cannot easily push a CP if the individual professionals or team culture do not buy into it. In comparison, the implementation literature regarding clinical practice guidelines (CPGs) has identified dissemination, education and training, social interactions, and decision-support systems as successful strategies . Similar to our findings, CPG implementation is more likely to be effective with the use of a multifaceted and strategic approach that addresses the context and identified barriers .
The factors identified in our study can inform CP intervention efforts by others by providing specific issues for consideration at each of these levels. We found that beliefs about the consequences (for patient/family) may also be strong motivators for implementing pediatric CPs. Patient-mediated interventions , such as the availability of brochures about specific CPs in the waiting room, might be used to educate and engage families to seek out CP-based care. The relative discomfort with managing potentially sick pediatric patients was ubiquitous. Participants frequently described their desire to provide quality care to children and trusted the CP to guide their care and ensure it is based on best evidence. Motivation may be diminished to implement CPs involving adult-related conditions, where providers feel they have more expertise.
The Theoretical Domains Framework (TDF) was useful to inform our data collection and analysis, providing a comprehensive approach to ensure relevant issues are raised. The TDF also provided a helpful structure in initially coding our data. However, the coding system required further modification to reflect the distinct themes deemed relevant to future CP implementation plans. This led to a clearer contextualization and more practical potential application of the relevant factors. The TDF is recognized as being more helpful for individual level change . Given the complex and multilevel interactions involved in CP implementation, we found the COM-B system of behaviours influenced by capability, opportunity, and motivation [39,49,] to be more helpful in capturing relevant factors within a system. As per this model, a successful behaviour change intervention will need to change one or more of the following components: Capability, the ability to engage in thought or physical processes necessary for the behaviour; Opportunity, environmental or social factors that influence behaviour; or Motivation, the conscious belief and the unconsciously held emotions that direct behaviour. Our analysis identified elements across each of these components that will serve as important targets for our implementation strategy.
Several features strengthen our study. With representation from 15 hospitals with a range of sizes, communities, and other priorities, we could comprehensively explore factors that will be generalizable to other ED settings. We could also draw from a variety of sources within each hospital, including site champions, administrative leads, and front line ED nurses and physicians. Collectively, these provide a broad set of perspectives on the relevant factors affecting CP implementation within a given hospital. Finally, our study used theory to identify important barriers and enablers to CP implementation and to further conceptualize the findings.
This study is limited by some common factors well known to implementation research. Because site recruitment for CP implementation was voluntary, those agreeing to participate may have been the early adopters, have had positive experiences with process improvements, or were otherwise more motivated to take this on. As well, although we had representation from frontline clinicians, there may have been an oversampling among participants of leaders and educators. As such, our findings may be an optimistic perspective of the willing. We may not have heard sufficiently from those more constrained by challenges in the clinical setting or unwilling to undergo practice changes. Finally, the KI interviews asked administrators to comment on issues at the health professional and ED team levels, as well as the hospital context. However, the TDF framework is designed to assess change factors at the individual provider level. As such, the key informants’ views may not accurately represent those of frontline clinicians.
This paper is unique in its use of implementation theories to understand clinical practice change in a complex and dynamic environment, such as that of the hospital ED setting. There is currently a dearth of implementation evidence in these types of settings. The barriers and enablers identified in this study are important to the eventual success of our CP implementation strategy at these sites. These factors will also be helpful in articulating key steps and assessing fidelity with the actual implementation process. The findings from our study will help to guide further ED implementation research, adding to the body of implementation evidence in this unique setting.
A comprehensive set of barriers and enablers to CP implementation within an ED setting has been identified from the perspectives of frontline ED health professionals and hospital leadership. Clustered within seven distinct themes and addressing three levels of impact—the ED health professional, the ED team, and the hospital context—we believe these barriers and enablers are essential considerations for a successful CP implementation strategy. The use of the Theoretical Domains Framework, to explore these factors, and the COM-B system of the Behaviour Change Wheel, to conceptualize how these themes might interact to effect change, has ensured a systematic approach in this process. These factors may form essential elements for a future CP implementation toolkit.
Behaviour change wheel
Capability, opportunity, motivation-behaviour
- CPG :
Clinical practice guidelines
Key informant (interviews)
Randomized controlled trials
Theoretical domains framework
Vomiting and diarrhea
Graham ID, Logan J, Harrison MB, Straus SE, Tetroe J, Caswell W, Robinson N. Lost in knowledge translation: time for a map? J Contin Educ Heal Prof. 2006. https://doi.org/10.1002/chp.47.
McGlynn EA, Asch SM, Adams J, Keesey J, Hicks A, DeCristofaro A, Kerr EA. The quality of health care delivered to adults in the United States. N Engl J Med. 2003. https://doi.org/10.1056/NEJMsa022615.
National Institute of Clinical Studies: Evidence-practice gaps report volume 1: a review of developments: 2004–2007. (2008). https://trove.nla.gov.au/work/25843441. Accessed 30 Oct 2018.
Huckson S, Davies J. Closing evidence to practice gaps in emergency care: the Australian experience. Acad Emerg Med. 2007;14:1058–63.
Seddon ME, Marshall MN, Campbell SM, Roland MO. Systematic review of studies of quality of clinical care in general practice in the UK, Australia and New Zealand. Qual Health Care. 2001. https://doi.org/10.1136/qhc.0100152.
Lougheed MD, Garvey N, Chapman KR, Cicutto L, Dales R, Day AG, Hopman WM, Lam M, Sears MR, Szpiro K, To T, Paterson NA, Ontario Respiratory Outcomes Research Network: the Ontario asthma regional variation study: emergency department visit rates and the relation to hospitalization rates. Chest 2006; doi: https://doi.org/10.1378/chest.129.4.909.
Freedman SB, Gouin S, Bhatt M, Black KJ, Johnson D, Guimont C, Joubert G, Porter R, Doan Q, van Wylick R, Schuh S, Atenafu E, Eltorky M, Cho D, Plint A. Pediatric emergency research Canada: prospective assessment of practice pattern variations in the treatment of pediatric gastroenteritis. Pediatrics. 2011. https://doi.org/10.1542/peds.2010-2214.
Goodman DC. Unwarranted variation in pediatric medical care. Pediatr Clin N Am. 2009. https://doi.org/10.1016/j.pcl.2009.05.007.
Rowe BH, Diner B, Camargo CA, Worster A, Colacone A, Wyer PC. Knowledge translation-consensus conference theme lb members: effective synthesized/pre-appraised evidence formats in emergency medicine and the use of supplemental knowledge translation techniques. Acad Emerg Med. 2007. https://doi.org/10.1197/j.aem.2007.06.026.
Grol R. Successes and failures in the implementation of evidence-based guidelines for clinical practice. Med Care. 2001;39:46–54.
Kurtin P, Stucky E. Standardize to excellence: improving the quality and safety of care with clinical pathways. Pediatr Clin N Am. 2009. https://doi.org/10.1016/j.pcl.2009.05.005.
Vanhaecht K, De Witte K, Panella M, Sermeus W. Do pathways lead to better organized care processes? J Eval Clin Pract. 2009. https://doi.org/10.1111/j.1365-2753.2008.01068.x.
De Bleser L, Depreitere R, De Waele K, Vanhaecht K, Vlayen J, Sermeus W. Defining pathways. J Nurs Manag. 2006. https://doi.org/10.1111/j.1365-2934.2006.00702.x.
Browne GJ, Giles H, McCaskill ME, Fasher BJ, Lam LT. The benefits of using clinical pathways for managing acute paediatric illness in an emergency department. J Qual Clin Pract. 2001. https://doi.org/10.1046/j.1440-1762.2001.00405.x.
Thomson P, Angus NJ, Scott J. Building a framework for getting evidence into critical care education and practice. Intensive & Critical Care Nursing. 2000. https://doi.org/10.1054/iccn.2000.1483.
American Academy of Pediatrics; Committee on Pediatric Emergency Medicine; American College of Emergency Physicians; Pediatric Committee; Emergency Nurses Association Pediatric Committee. Joint Policy Statement—Guidelines for Care of Children in the Emergency Department. Pediatrics. 2009;124:1233–43.
Kozer E, Scolnik D, MacPherson A, Rauchwerger D, Koren G. Using a preprinted order sheet to reduce prescription errors in a pediatric emergency department: a randomized, controlled trial. Pediatrics. 2005. https://doi.org/10.1542/peds.2004-2016.
McCue JD, Beck A, Smothers K. Quality toolbox: clinical pathways can improve core measure scores. J Healthc Qual. 2009. https://doi.org/10.1111/j.1945-1474.2009.00008.x.
Kent P, Chalmers Y. A decade on: has the use of integrated care pathways made a difference in Lanarkshire? J Nurs Manag. 2006. https://doi.org/10.1111/j.1365-2934.2006.00707.x.
Gaddis GM, Greenwald P, Huckson S. Toward improved implementation of evidence-based clinical algorithms: clinical practice guidelines, clinical decision rules, and clinical pathways. Acad Emerg Med. 2007. https://doi.org/10.1197/j.aem.2007.07.010.
Vanhaecht K, Bollmann M, Bower K, Gallagher C, Gardini A, Guezo J, Jansen U, Massoud R, Moody K, Sermeus W, Van Zelm R, Whittle C, Yazbeck AM, Zander K, Panella M. Prevalence and use of clinical pathways in 23 countries – an international survey by the European pathway association. Intl J Care Pathw April. 2006;10:28–34.
Darzi A: High quality care for all: NHS Next Stage Review final report. (2008). https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/228836/7432.pdf. Accessed 30 Oct 2018.
Ontario Ministry of Health and Long-Term Care: Ontario’s Emergency Room Wait Times Strategy.(2015). http://www.health.gov.on.ca/en/public/programs/waittimes/strategy.aspx. Accessed 30 Oct 2018..
Buchert AR, Butler GA. Clinical pathways: driving high-reliability and high-value care. Pediatr Clin N Am. 2016;63(2):317–28. https://doi.org/10.1016/j.pcl.2015.12.005.
Campbell HHR, Bradshaw N, Porteous M. Integrated care pathways. BMJ. 1998;316:133–44.
Rotter T, Kinsman L, James E, Machotta A, Gothe H, Willis J, Snow P, Kugler J. Clinical pathways: effects on professional practice, patient outcomes, length of stay and hospital costs. Cochrane Database Syst Rev (Online) [Cochrane Database Syst Rev], ISSN: 1469-493X, 2010;3; Cochrane AN: CD006632.
Kinsman LD, Buykx P, Humphreys JS, Snow PC, Willis J. A cluster randomized trial to assess the impact of clinical pathways on AMI management in rural Australian emergency departments. BMC Health Serv Res. 2009. https://doi.org/10.1186/1472%2D6963-9-83.
El Baz N, Middel B, van Dijk JP, Oosterhof A, Boonstra PW, Reijneveld SA. Are the outcomes of clinical pathways evidence-based? A critical appraisal of clinical pathway evaluation research. J Eval Clin Pract. 2007;13(6):920–9.
Simmons J, Kotagal UR. Reliable implementation of clinical pathways: what will it take-that is the question. J Pediatr. 2008. https://doi.org/10.1016/j.jpeds.2007.12.017.
Van Herck P, Vanhaecht K, Sermeus W. Effects of clinical pathways: do they work? J Int Care Path. 2004;8(3):95–107.
Evans-Lacko S, Jarrett M, McCrone P, Thornicroft G. Facilitators and barriers to implementing clinical care pathways. BMC Health Serv Res. 2010:182. https://doi.org/10.1186/1472-6963-10%2D182.
De Allegri M, Schwarzbach M, Loerbroks A, Ronellenfitsch U. Which factors are important for the successful development and implementation of clinical pathways? A qualitative study. BMJ Qual Saf. 2011. https://doi.org/10.1136/bmjqs.2010.042465.
Sharek PJ, Mullican C, Lavanderos A, Palmer C, Snow V, Kmetic K, Antman M, Knutson D, Dembry LM. Best practice implementation: lessons learned from 20 partnerships. Jt Comm J Qual Patient Saf. 2007;33(12):16–26.
Rumelt RP. Good strategy, bad strategy: the difference and why it matters New York: Crown Business, Random House; 2011.
Romeyke T, Nöhammer E, Stummer H. Lessons from change management theory for the implementation of clinical pathways. Int J Care Pathways. 2016;2(9):43–47.
Schmit C, d’Hoore W, Lejuene C, Vas A. Predictors of successful organizational change: the alignment of goals, logics of action and leaders' roles to initiate clinical pathways. Int J Care Pathways. 2011;15:4–14.
Handley MA, Gorukanti A, Cattamanchi A: Strategies for implementing implementation science: a methodological overview. Emerg Med J 2016; doi: 664.https://doi.org/10.1136/emermed-2015-205461.
Tavender EJ, Bosch M, Fiander M, Knott JC, Gruen RL, O'Connor D. Implementation research in emergency medicine: a systematic scoping review. Emerg Med J. 2016. https://doi.org/10.1136/emermed-2015-205053.
Rankin NM, Butow PN, Thein T, Robinson T, Shaw JM, Price MA, Clover K, Shaw T, Grimison P. Everybody wants it done but nobody wants to do it: an exploration of the barrier and enablers of critical components towards creating a clinical pathway for anxiety and depression in cancer. BMC Health Serv Res. 2015. https://doi.org/10.1186/s12913-015-0691-9.
Jabbour M, Curran J, Scott SD, Guttman A, Rotter T, Ducharme FM, Lougheed MD, McNaughton-Filion ML, Newton A, Shafir M, et al. Best strategies to implement clinical pathways in an emergency department setting: study protocol for a cluster randomized controlled trial. Implement Sci. 2013. https://doi.org/10.1186/1748-5908-8-55.
Jabbour M, Reid S, Irwin D, Rohde K, Losier A, Holmgren E, Barrowman N, Moreau K. Evidence based pediatric care closer to home: a mixed methods evaluation of a clinical pathways-based emergency outreach program. J Hosp Admin. 2017;6:43.
Cane J, O'Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci. 2012. https://doi.org/10.1186/1748-5908-7-37.
Francis JJ, Stockton C, Eccles MP, Johnston M, Cuthbertson BH, Grimshaw JM, Hyde C, Tinmouth A, Stanworth SJ. Evidence-based selection of theories for designing behaviour change interventions: using methods based on theoretical construct domains to understand clinicians' blood transfusion behaviour. British Journal of Health Psychology. 2009. https://doi.org/10.1186/1748-5908-4-70.
Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15:1277.
Francis JJ, O'Connor D, Curran J. Theories of behaviour change synthesised into a set of theoretical groupings: introducing a thematic series on the theoretical domains framework. Implement Sci. 2012. https://doi.org/10.1186/1748-5908-7-35.
Islam R, Tinmouth AT, Francis JJ, Brehaut JC, Born J, Stockton C, Stanworth SJ, Eccles MP, Cuthbertson BH, Hyde C, Grimshaw JM. A cross-country comparison of intensive care physicians' beliefs about their transfusion behaviour: a qualitative study using the theoretical domains framework. Implement Sci. 2012. https://doi.org/10.1186/1748-5908-7-93.
Squires JE, Linklater S, Grimshaw JM, Graham ID, Sullivan K, Bruce N, et al. Understanding practice: factors that influence physician hand hygiene compliance. Infect Control. 2014;35(12):1511–20. https://doi.org/10.1086/653027Published online: 16 January 2015.
Michie S, van Stralen M, West R. The behaviour change wheel: a new method for characterising and designing behavior change interventions.. Implement Sci. 2011;6:42.
Michie S, Atkins L, West R. The behaviour change wheel: a guide to designing interventions. 1st ed. London: Silverback Publishing; 2014.
Fischer F, Lange K, Klose K, Greiner W, Kraemer A. Barriers and strategies in guideline implementation—a scoping review. Parthasarathy S, ed. Healthcare 2016;4(3):36. doi:https://doi.org/10.3390/healthcare4030036.
Grol R, Wensing M, Eccles M. Improving patient care: the implementation of change in clinical practice. Edinburgh: Elsevier; 2005.
Gaglaridi AR, Legare F, Brouwers MC, Webster F, Badley E, Straus S. Patient-mediated knowledge translation interventions for clinical encounters: a systematic review. Implement Sci. 2016;11:26 10.1186/s13012-016-0389-3.
We acknowledge the contributions of our program coordinators. Dale Dalgleish (DD; study nurse coordinator) and Kristina Rohde (KR; project coordinator) participated in the project launch mediated group discussion and contributed to the qualitative data analysis. Dale participated in all pre-implementation site visits and conducted all key informant interviews.
This work was supported by the Canadian Institutes of Health Research (CIHR grant# 274975).
Availability of data and materials
The dataset(s) supporting the conclusions of this article is (are) included within the article (and its additional file(s)).
Ethics approval and consent to participate
This study was approved by the Research Ethics Boards of the Children’s Hospital of Eastern Ontario (CHEOREB#12/139X) and at each of the 16 partner hospital organizations.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Jabbour, M., Newton, A.S., Johnson, D. et al. Defining barriers and enablers for clinical pathway implementation in complex clinical settings. Implementation Sci 13, 139 (2018). https://doi.org/10.1186/s13012-018-0832-8
- Clinical pathways
- Barriers and enablers
- Theoretical domains framework
- Emergency medicine