Commentary on Kocaman G, Seren S, Lash AA, Kurt S, Bengu N & Yurumezoglu HA. Barriers to research usage by staff nurses in a university hospital. <i>Journal of Clinical Nursing</i> 19, 1908–1918
Bibliographic record
Abstract
The paradigm of evidence-based practice (EBP) has been introduced internationally with the aim of applying research results in practice and deliver care based on sound evidence of what works (Rycroft-Malone et al. 2004, Pravikoff et al. 2005). In nursing, because of the focus of the discipline, evidence comes from an array of sources: an integration of research-based evidence with clinical experience, context characteristic and patients’ preferences (Reavy & Tavernier 2008). However, as many authors, including Kocaman et al. have stressed, decisions on nursing practice principally rely on the nurses’ personal experience and observations, not on research results. Considering its potential benefits for nursing care, there is a growing concern about the development of evidence-based nursing and nurses, at all levels, are increasingly expected to improve the quality of care through the incorporation of relevant research in decision-making (Roxburgh 2006, Hannes et al. 2007). In the literature, this has been called research utilisation, research use or research usage (RU) in Kocaman et al.’s (2010) article. Many authors have tried to clarify the reasons for the existing gap between research production and RU because, despite the increasing amount of research evidence, nursing practice remains reticent to apply its findings in practice (Profetto-McGrath et al. 2007, Reavy & Tavernier 2008). A good example can be found on Kocaman et al.’s article. This article offers interesting insights into the issue because it enlightens the situation in a specific context, the Turkish, which had not been studied before. This is necessary because most of the studies on RU have been conducted in countries with a research tradition such as the UK, the USA, Canada or Nordic countries, and results about the barriers to RU should not be directly translated to other contexts with different backgrounds and situations regarding nursing research, like Turkey (Corchon et al. 2010). In Kocaman et al.’s study, they used the most frequently used instrument in this kind of enquiry, the Barriers’ scale (Funk et al. 1991). Based on Roger’s model of Diffusion of Innovations, it is divided into four subscales to study barriers to RU: 1-Characteristics of the nurse; 2-Characteristics of the setting; 3-Characteristics of the innovation; and 4-Characteristics of the communication. Although this instrument has some limitations, the fact that it has been widely used in different contexts allows the comparison between the situations in different countries regarding the barriers to RU, as they have done in this article. Participants in Kocaman et al.’s study identified as the main barriers to RU the lack of time, lack of facilities and lack of support, together with the language barrier. In other words, in Turkey, they found that, although the characteristics of the nurse were important, the most significant barriers to RU were those related to the organisation, as it happens in the other compared countries, showing consistent results with previous studies (Retsas 2000, Parahoo & McCaughan 2001, Corchon 2009). Therefore, considering the important amount of literature focused on the barriers to RU and the congruent findings achieved along the years across different contexts, it seems that those have been over-studied and it is time to take a step forwards and start intervening on them. Many studies have looked at the barriers for EBP, but few have addressed innovative strategies to overcome them (Hundley et al. 2000, Clifford & Murray 2001) and these have mainly focused on the nurse, offering research training, without considering other contextual characteristics that, according to the literature, could be determinant. This study has shown once again that the development of nursing research and RU are complex issues and nurses, although interested and with positive attitudes towards RU, face important barriers that prevent them from participating in research activities and applying research evidence in practice (Pepler et al. 2006, Rycroft-Malone 2008). There are other factors, related to the organisation, that have a determinant influence. Some authors have explored the contextual factors and their influence on RU using the PARIHS framework, Promoting Action on Research Implementation in Health Services (Kitson et al. 1998). This framework argues that three major elements influence RU: the evidence, the context and the type of facilitation needed to ensure successful change. The context is composed of three dimensions: culture, leadership and evaluation. Positive characteristics of the context for RU, according to Cummings et al. (2007), are staff development, opportunity for nurse-to-nurse collaboration, and staffing and support services. Behind these factors, the organisational culture is a determining aspect (Scott-Findlay & Golden-Biddle 2005, Scott & Pollock 2008). The organisational culture shapes the research use by influencing the professionals’ attitudes and behaviours, ‘providing a context where particular ideas, activities or events are more highly valued than others’ (Scott & Pollock 2008, p. 299). To understand the organisational culture, Schein’s (1992) offers a hierarchical and iterative model of three levels: 1-Observable artefacts, the most observable elements of an organisation; 2-Values, articulated by norms, principles and ideologies; and 3-Basic underlying assumptions, the deepest level of culture. Scott-Findlay and Golden-Biddle (2005) applied this framework to explore the cultural reasons that prevented acute care nurses from RU, focusing on one aspect of the underlying assumptions of an organisational culture, the ‘nature of activity’. According to them, there are two extreme orientations regarding how work is valued: a doing orientation, focused on tasks and on efficiency, and a being orientation, focused on other values implying reflection. Generally, in health care organisations, the prevalent orientation is towards ‘doing’ more valued than reflection, and this guides how work is completed, the types of knowledge valued and used, and the provision of contexts for interaction (Scott-Findlay & Golden-Biddle 2005). For instance, nurses are expected to have things made rather than reflecting, which implies that research is not valued. Moreover, this orientation is more associated with practical knowledge than research knowledge, indicating the type of knowledge more valued in the organisation. This cultural orientation towards ‘doing’ clearly inhibits RU (Scott-Findlay & Golden-Biddle 2005). In conclusion, health professionals work in complex organisational structures and there are factors that do not depend on the individual but have an influence on RU. Thus, placing the responsibility of the failure to research utilisation on the individual is misguided (Rycroft-Malone 2008, Scott & Pollock 2008), and more effort should be focused on understanding how organisational culture might affect research development and RU (Fink et al. 2005, Scott-Findlay & Golden-Biddle 2005). ‘Developing a climate in which research is not only valued and seen for its intrinsic worth but is also considered an integral aspect of routine activity in an organisation’ (Thompson 2003, p. 143), an organisation in which ‘the nature of activity’ is more oriented towards ‘being’; are important organisational factors to bear in mind, and to act on, if there is an interest in developing nursing research and RU in practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.048 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.003 | 0.050 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".