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Implementing research results in clinical practice- the experiences of healthcare professionals
© Kristensen et al. 2016
Received: 25 June 2015
Accepted: 5 February 2016
Published: 10 February 2016
In healthcare research, results diffuse only slowly into clinical practice, and there is a need to bridge the gap between research and practice. This study elucidates how healthcare professionals in a hospital setting experience working with the implementation of research results.
A descriptive design was chosen. During 2014, 12 interviews were carried out with healthcare professionals representing different roles in the implementation process, based on semi-structured interview guidelines. The analysis was guided by a directed content analysis approach.
The initial implementation was non-formalized. In the decision-making and management process, the pattern among nurses and doctors, respectively, was found to be different. While nurses’ decisions tended to be problem-oriented and managed on a person-driven basis, doctors’ decisions were consensus-oriented and managed by autonomy. All, however, experienced a knowledge-based execution of the research results, as the implementation process ended.
The results illuminate the challenges involved in closing the evidence-practice gap, and may add to the growing body of knowledge on which basis actions can be taken to ensure the best care and treatment available actually reaches the patient.
Healthcare research continually produces large amounts of results and revised methods of treatment and care for patients, which, if implemented in practice, can potentially save lives and improve the quality of life of patients . Nonetheless, a rise in the amount of research results available does not automatically translate into improved patient care and treatment [2, 3].
There is broad evidence that there is a substantial gap between the healthcare that patients receive and the practice that is recommended – also known as the research-practice gap, evidence-practice-gap or knowing-doing gap [4–6]. Evidence suggests that it sometimes takes more than a decade to implement research results in clinical practice, and that it is often difficult to sustain innovations over time [7, 8]. This is critical, not only for patients, who thereby fail to receive the best treatment and care available, but also for healthcare organizations and society, who miss out on the potential financial value gains and returns on investment [9, 10].
Implementation Science is the mail field of research dedicated to exploring methods of implementing research evidence into practice [11, 12]. Many studies within this field explore methods to promote integration of research findings by policymaking and through larger, systematic and planned implementation initiatives such as e.g. Consolidated Framework For Implementation Research (CFIR) . Fewer studies unfold whether and how research results seems to wander into practice in a less structured, planned and top down manner through local, emerging and personally carried mechanisms.
Within the field of translational science (the translation of new clinical knowledge into improved health) studies suggesting methods for bridging the gap between research and practice  mainly focus on exploring implementation methods capable of promoting the exchange, transfer, diffusion and dissemination of evidence-based knowledge to practitioners and decision-makers in healthcare systems . Journal clubs are similarly a widespread dissemination method for clinicians to access evidence-based knowledge through presentations and discussions of research articles . What these approaches have in common is a focus on how to convey evidence-based information to healthcare professionals, and thereby raise awareness of relevant improvements in treatment and care. A large body of research nonetheless suggests that it is difficult for professionals to utilize new, decontextualized, explicit knowledge in their daily work practice [16–18]. What directs the professional’s actions in practice will often be the implicit and established know-how of routines– even when decisions on new methods and the commitment to put them into practice is otherwise present [19–21].
In line with these insights, translational methods have been shown to produce only small to moderate effects, and research suggests that the successful uptake of research results in the actions of healthcare professionals requires more than merely making the results accessible for local practice [3, 22, 23].
Recent research suggests that evidence-informed practice is mediated by an interplay between the individuals, the new knowledge and the actual context in which the evidence is to be operationalized and utilized in daily practice [24, 25]. Organizational contextual factors such as culture and leadership, but also social and attitudinal factors as professional opinion has shown to have a great impact on implementation success [12, 26, 27]. In this perspective, new research results are not transferred on a 1:1 basis from academia to practice. Instead, the applicability of research results must be locally evaluated, and new results must eventually be made actionable and utilizable, and adapted to local practice, in order to produce the desired outcome over time [22, 23, 27-29].
Deepening our understanding of the factors which prohibit or promote this interplay in local practice and the operationalization and use of research results in daily clinical life is vital in order to bridge the continuing gap between healthcare research and practice [30, 31].
The objective of this study is to elucidate how healthcare professionals in a hospital setting experienced working with the implementation of research results in practice, and which existing methods they utilized to incorporate research results into daily healthcare action.
A descriptive qualitative design was chosen, as the aim of the study was to elucidate the experiences of healthcare professionals. A directed content analysis approach guided the analysis .
Setting and participants
Medical Head of Department
Nursing Head of Unit
Physician with special research responsibility
Nurse with special research responsibility
As there was an overlap between the positions in two instances, twelve interviews were carried out. The wards were selected on the basis of having several researchers employed, as well as their willingness to participate.
The participants were recruited through the heads of departments, who were asked to identify professionals eligible to participate. A calendar invitation was subsequently sent out inviting the professionals to participate, and all agreed.
Data was collected in the spring of 2014 through 12 qualitative, semi-structured interviews. All of the interviews took place in the wards. The theoretical framework of Klein & Knight  served as the basis of the interview guide (see Additional file 1).
The theoretical framework consisted of factors enhancing implementation: 1) a package of implementation policies and practices established by an organization, 2) the climate for innovation implementation in the team or organization —i.e. the employees’ shared perceptions of the importance of innovation implementation within the team or organization, 3) managerial support for innovation implementation, 4) the availability of financial resources, 5) a learning orientation: a set of interrelated practices and beliefs that support and enable employee and organizational skill development, learning, and growth, 6) managerial patience, i.e. long-term orientation. The framework also consisted of the following challenges to implementation: 1) many technological innovations are unreliable and imperfectly designed, 2) many innovations require would-be users to acquire new technical knowledge and skills, 3) the decision to adopt and implement an innovation is typically made by those higher up in the hierarchy than the innovation’s targeted users, 4) many team-based and organizational innovations require individuals to change their roles, routines, and norms, 5) implementation is time-consuming, expensive, and, at least initially, a drag on performance, and 6) organizational norms and routines foster maintenance of the status quo.
The opening question of the interviews was always open-ended, asking the participants to talk about their own experiences of working with research implementation in practice. Consequently, the participants contributed as much detailed information as they wished, and the researchers asked further questions as necessary. The interviews lasted on average 45 min, and were conducted by the first and second author of this article. One person acted as the main interviewer while the other observed the interview as a whole, ensuring follow-up in accordance with the interview guide. All interviews were recorded and transcribed.
Data coding and analysis
A directed and deductive content analysis approach  guided the analysis in order to bring theoretically-derived coding categories into connection with the empirical data.
Transcripts were entered into NVivo10 in order to structure the data. An unconstrained categorization matrix was developed on the basis of the twelve theoretical factors to guide the analysis, as described by Elo et al. . Data was coded according to the categories in the matrix. During the coding process, new categories emerged, such as issues about professionals using their spare time for research and research implementation, and multidisciplinarity among doctors and nurses. The new categories were noted and treated as equally important additions to the initial categories. Once the coding process was complete, the number of categories was reduced by “collapsing those that are similar or dissimilar into broader higher-order categories.” , while maintaining proximity to the text. This abstraction process was repeated with the higher-order categories, resulting in six main categories, as described in the results section of this article.
In order to enhance rigor and validity, interviews were initially coded by all authors individually, after which they met and discussed the categorization until consensus was obtained .
The manuscript adheres to the RATS Guidelines in order to enhance credibility.
The study was submitted to The Committees on Health Research Ethics for the Capital Region of Denmark (De Videnskabsetiske komiteer for Region Hovedstaden), who assessed that the study did not require formal approval by the committee.
As only two wards at the hospital served as the empirical basis of the study, the researchers paid special attention to issues of confidentiality and anonymity. Participants were therefore informed that their names would not be mentioned in the study, but were also asked to reflect on the fact that the limited number of participants might make it difficult to maintain total anonymity. With this information in mind, all participants gave their written, informed consent prior to participating.
In this study of the experience of healthcare professionals with existing ways of incorporating research results into healthcare action, six main categories were identified: non-formalized, consensus-oriented, problem-oriented, autonomous, person-driven and knowledge-based.
“When we have the results, we are prone to think ‘Well, that’s that’ and move on to a new project.” (Nurse)
“…there is no system in it. It’s not as though we say, ‘you keep an eye on what’s going on in this field, and I’ll keep an eye on this’. It becomes somewhat unsystematic.” (Doctor)
“…I think it would be nice to have some kind of system or safety net, so that you don’t have to worry about whether something may have slipped through.” (Doctor)
Heads of departments and heads of units were not active in initiating the implementation of new research in practice. Their participation was mostly limited to approving, allocating resources or applying for financial support when a healthcare professional wished to initiate the implementation of a research result.
“…people take things seriously. They don’t just sit around and wait for an instruction to arrive. I mean – they just do things.” (Physician with special research responsibility)
This informal practice of individuals independently initiating the implementation of research results was also seen in doctors putting in extra hours after their formal working hours, both to conduct their own research and to acquire the skills necessary to implement a certain new result in practice, such as a surgical technique or a new item of equipment. In this connection, both research and the implementation of research were to some extent driven by individual interests and motivation that went beyond formal obligations.
When deciding on and managing implementation, various patterns were described in relation to doctors and nurses. In the doctor group, the decision to implement a new result was described as a consensus process among the senior physicians; managing implementation, on the other hand, was experienced as being regulated by individual doctors autonomously.
“If there is some kind of consensus that this sounds exciting and this is something that we would like to proceed with, then we can agree that it is something we will do.” (Senior physician)
“We discuss it in the group and agree that to begin with, we will apply a strategy in which we only do this with some (patients).” (Physician with special research responsibility)
“We have a high degree of autonomy. We do not all do things the same way.” (Senior Physician)
In this way, any doctor could refrain from implementing a new practice that had been decided on in the group, or act on something that had not been decided in the group, without the need to ask permission. Due to autonomy, no organized follow-up was conducted from within the ward to manage and monitor the implementation of research results. Some healthcare professionals said that if there was a follow-up on the implementation of a new research result, it was often in practice conducted by agents from the pharmaceutical industry who wished to establish the application of certain products.
“…we don’t have to follow these guidelines. There may be many other issues to consider. We might be satisfied with the treatment that we already have, and not find the new treatment much better. It might even be more expensive. So we don’t have to put it into practice.” (Medical Head of Department)
In the doctor group, therefore, the experience of deciding on and managing the implementation of research results in practice showed both an orientation towards achieving consensus decisions, and at the same time a principle of managing change autonomously in practice.
“…our practice was very individual and experimental, so I made a search for the existing evidence. And on that basis I implemented a new practice.” (Nurse with special research responsibility)
“You have to have someone, either yourself, or someone else that you identify, to continually stir the pot. Saying ‘we are all responsible’ is the same as saying ‘no-one takes responsibility’.” (Nurse with special research responsibility)
“We can easily agree – but the motivation falls away as we walk out of the room, because other assignments accumulate for the resource persons that have been in the room, such as the need to cover a shift.” (Nurse)
“…the combination of the high level of pushing patients through the hospital – that is, the high demands towards production – and the great focus on efficiency conflict with the need to conduct that many development projects, each with their own requirements, and at the same time.” (Nurse)
“Management – the senior management here – is very focused on the bottom line figures. There is definitely a lack of follow-up and a lack of people insisting ‘now we’re going to do this’.” (Nurse with special research responsibility)
“I’m the only one who is trained to read research articles. And that’s not enough – there is not enough discussion to be able to drive a change. There is not enough resonance. I’m on my own.” (Nurse with special research responsibility)
“The procedures to be changed are written down in instructions on how to perform them.” (Medical Head of Department)
“…a document, an instruction is created, and from there on everybody does it.” (Doctor)
“Actually, only a very small group needs to know where we are going. Because then you pass it on to others.” (Doctor)
“Well, you’re obliged to read the instructions when you get hired in this department. They are accessible on our local network. Or on the hospital network. You can read all of them there.” (Medical Head of Department)
At the same time as relying on knowledge-based implementation through mandatory reading of written documents, the large number of written procedures was also experienced as something that hindered healthcare professionals from knowing how to carry out the practice. Several instructions and guidelines referred to the same practice, and reading all of the instructions simultaneously was experienced as too demanding in a busy schedule, resulting in a failure to read them.
Other types of knowledge-based implementation included exchanging and sharing information at meetings, and in newsletters and e-mails. Both doctors and nurses described teaching each other theoretically, sharing knowledge, and in some cases attending formal training, such as conferences or courses.
“Of course you can inform people, teach them – but it changes nothing.” (Nurse)
“I had a list of the people who had received the theoretical teaching, and what we did was that they accompanied me with a patient and observed me showing them ‘how to do it’, and then I observed them, so that I could supervise them.” (Nurse with special research responsibility)
“My experience is that face-to-face is the way to do it, to create the understanding, as well as ensuring their ability to do it afterwards. But it’s time-consuming.” (Nursing Head of Unit)
Doctors also referred to on-the-job training in relation to the implementation of new procedures. In such cases one or more of the doctors acquired a new skill and then taught it to colleagues who were interested, but no organized on-the-job training was described.
The objective of this study has been to elucidate how healthcare professionals in a hospital setting experienced working with research implementation in practice, and which existing methods of incorporating new research results into daily healthcare action they had experienced. This is not the first study to explore experiences of healthcare professionals with implementation of research results, however most other studies, examine how researchers and policymakers might work with clinicians rather that how clinicians work on their own. This study suggests that clinicians do work intentionally implementing research results by themselves. And knowing the mechanisms regulating this intentional implementation effort is important in furthering the knowledge on how to ensure a best practice patient care and evidence based healthcare systems.
We found the initiation of the implementation of research results to be largely non-formalized at the organizational level and not led by management. According to the literature, refraining from formalizing which research results are to be implemented, and how they are to be implemented, can both benefit and compromise the operationalization of research results in healthcare practice.
In a longitudinal case study of healthcare improvement, Booth et al.  argued that improvements in chronic illness care emerged as a result of co-evolution, non-linearity and self-organization in a network of agents, and not as a result of planned system change. In this view, the non-formal character of research implementation could be thought to provide a necessary space of possibilities for improvements to emerge. The non-formalized nature of implementation also provides plenty of room for individual initiative and opportunities to define which research results are to be implemented and how they are to be implemented. This participation and self-determination is argued to be vital to securing an affective commitment to the changes and an intrinsic motivation to change clinical behavior [38, 39].
On the other hand, formal leadership is claimed to be an important ingredient in making changes happen in practice, particularly in terms of obtaining the same affective commitment to change on the part of organization members . Stelter et al.  argue that supportive leadership behaviors – including articulating visions, clarifying prioritized goals, handling inhibitors in the implementation process, etc. – are necessary to institutionalize evidence-based practices in an organization. According to Birken et al. , middle managers are crucial in the area of diffusing and synthesizing information, selling the innovation and mediating between strategy and day-to-day activities. Furthermore, the lack of formal procedures and overall professional-strategic steering may risk failure to prioritize the limited resources in areas where improvements in healthcare and patient treatment are most needed [43, 44], systematic and prioritized knowledge implementation efforts need not exclude the possibility of aspiring, well-motivated and self-determined healthcare professionals creating bottom-up changes. By promoting ‘enabling contexts’, managers can support emerging processes with visionary proposals and commitment, while professionals can generate innovation and professional development within strategically selected areas .
In relation to deciding on and managing change, nurses and doctors in the study followed different patterns.
The consensus approach, as a decision-making method, has also been studied by others . Investigating the process of practice change in a clinical team, Mehta et al. (1998) found that in addition to evidence-based knowledge, group dynamics, the process of dialogue and personal experience also exerted a considerable influence on the consensus that was reached and the decisions that were made . In this perspective, multiple, non-formal and non-rational factors can influence the decisions that are taken in clinical teams in relation to initiating and deciding to implement research results.
In the management of the changes in practice, the autonomy of individual doctors was key. Our results indicated that even though decisions were reached through consensus, they were not perceived as binding in clinical practice. Clinical autonomy is a phenomenon that is well described elsewhere in the literature . A recent study showed that doctors preferred their individual, non-systematic professional assessments to a formalized strategic approach in which they applied the recommendations of a large, predetermined, evidence-based program when treating COPD patients across sectors .
Armstrong  has described this preference for autonomy as a defense of professional identity and the right to act independently without instructions from others. One interpretation of clinical autonomy is that the individual practitioner strives to preserve traditional privileges and monopolies of knowledge in the medical profession – e.g. by using the rhetoric of a patient-centered treatment that allows the professional to act autonomously and avoid the constraints of professional control and standardization.
Another interpretation of the phenomenon is that clinical autonomy is a necessary prerequisite for doctors to be able to make research-based decisions on the treatment of individual patients, since such decisions are not only based on clinical evidence, but also on factors such as patient preference and clinical expertise [49, 50]. In this perspective, the lack of formalization and management of professional development, as our results also indicate, can be viewed as a valuable and desirable aspect of maintaining professional healthcare practice on the basis of the individual doctor’s expertise .
The implementation of research results in the nurse group was driven and managed by a single nurse or a small group of nurses, with a clinical nurse specialist in each ward as key to managing the changes. One could argue that these nurses play a role that is somewhat similar to the role of nurse facilitators as described by Dogherthy et al. . According to Dogherthy, the nurse facilitator is an important element in advancing evidence-based nursing practice. The role is very broadly defined in the literature as ranging from specific task-driven actions to releasing the inherent potential of individuals . However, one common denominator that is stressed in order for the nurse facilitator to succeed in implementing research results is the deputizing of the nurse facilitator. Lack of authority has in several studies been identified as a barrier to the implementation of research results by nurses [52–54].
The background and competencies of nurses leading change processes on the basis of research results is argued to be important in determining whether their management of research implementation will succeed. Currey et al.  argue that nurses who facilitate evidence-based clinical practice must have a doctorate, be recognized clinical experts with educational expertise and advanced interpersonal, teamworking and communications skills. In line with this research-active nurses have been found to be more likely to overcome barriers in the implementation process and to succeed in translating research into practice .
Having only a few research-active nurses in a ward thus seems to be a barrier for implementation in itself, as the majority of nurses in the wards abstained from using evidence-based knowledge, giving three typical reasons: lack of time, lack of interest and lack of qualifications .
All in all, considering the competencies and the available management space of key-persons/clinical nurse specialists, leadership of the implementation of research results seems to be key to the implementation of research results in clinical practice.
The manner of executing the implementation of new research results in practice resonates with the tradition in translational science of focusing on conveying evidence-based information in the implementation of research results in practice .
We found widespread use of written clinical instructions, guidelines and newsletters when executing the implementation of research, as has also been found in other studies on implementation methods in healthcare .
It has been argued in several studies that issuing clinical guidelines, etc., serves to protect the collective professional autonomy from administrative pressures by clearly demonstrating a commitment to high standards of care, thereby justifying professional independence [57, 58].
When considering the knowledge-based approach, studies found that the mere dissemination of evidence-based clinical guidelines was ineffective in changing the behavior of healthcare professionals [2, 59, 60]. In a decision science study, Mohan et al.  demonstrated doctors’ non-compliance with clinical practice guidelines in trauma triage. 80 % of the doctors failed to refer trauma patients to trauma centers, even though the patients met the guideline conditions for transfer. The authors attribute the non-compliance to non-evidence-based attitudes on the part of the doctors, plus organizational norms and incentives that influenced the doctors’ perceptions and decision-making procedures.
Creating behavioral compliance with the content of guidelines has been shown to require the continuous involvement of all staff in establishing new routines to utilize the guidelines . Our results indicated no such involvement of general staff, as one or a few professionals often developed or discussed the guidelines independently. The widespread belief that creating new guidelines and relying on the mandatory reading of these will in itself change the behavior of healthcare professionals may be a barrier to the effective implementation of new research results in practice.
With regard to managing implementation though e-mails, classroom teaching, etc., Rangachari et al.  have described these methods as ineffective in establishing new research-based practice as they solely raise awareness of the change, but fail to make it actionable.
Other researchers also point to the importance of making knowledge actionable . The transformation of explicit knowledge and awareness into new skills may very well depend on activities such as acting out and improvising, mentally and motorically, the new intentions and knowledge, and thereby operationalizing and internalizing the knowledge and continually regulating actions to produce the desired outcome [16, 64].
Opportunities to act upon new research results in practice were scarce in our results, and more common among the nurses than among the doctors. However, in both cases there were reports of on-the-job training and bedside learning, which were perceived as being more effective in changing the behavior of staff in the ward.
The use of interviews to investigate the implementation processes may have influenced the data and the linear change model that emerged from the interviews. When invited to articulate their experiences of research implementation, participants may have generated narratives with a beginning, a middle and an end, whereas more complex and circular processes may have taken place.
Investigating implementation practice through additional methods such as observational studies, participation in meetings and daily clinical practice may provide further insight into the nature of common implementation processes in healthcare systems.
The experience of research implementation illuminated a process that was unsystematically initiated, relied on few stakeholders, and often ended up on paper rather than in practice and in the actual treatment and care of individual patients. The results reveal that this on the one hand describes the challenges involved in closing the evidence-practice gap, but on the other hand supports the commitment of professionals with special research interests. The results of this study will add to the growing body of knowledge on which basis action can be taken to ensure that the best care and treatment available actually reaches the patient.
We wish to thank all the respondents in this study and their management for allocating the time for interviews. We would also like to thank Jüri Johannes Rumessen and Sidsel Rasborg Wied for supporting the study and for their advice during the data analysis.
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