Carole A. Estabrooks

Ingredients for change: revisiting a conceptual framework

Finding ways to deliver care based on the best possible evidence remains an ongoing challenge. Further theoretical developments of a conceptual framework are presented which influence the uptake of evidence into practice. A concept analysis has been conducted on the key elements of the framework—evidence, context, and facilitation—leading to refinement of the framework. While these three essential elements remain key to the process of implementation, changes have been made to their constituent sub-elements, enabling the detail of the framework to be revised. The concept analysis has shown that the relationship between the elements and sub-elements and their relative importance need to be better understood when implementing evidence based practice. Increased understanding of these relationships would help staff to plan more effective change strategies. Anecdotal reports suggest that the framework has a good level of validity. It is planned to develop it into a practical tool to aid those involved in planning, implementing, and evaluating the impact of changes in health care.

The Impact of Hospital Nursing Characteristics on 30-Day Mortality

BACKGROUND Evidence indicates that hospital nursing characteristics such as staffing contribute to patient outcomes. Less attention has been given to other hospital nursing characteristics central to optimal professional practice, namely nurse education and skill mix, continuity of care, and quality of the work environment. OBJECTIVE To assess the relative effects and importance of nurse education and skill mix, continuity of care, and quality of work environment in predicting 30-day mortality after adjusting for institutional factors and individual patients characteristics. METHOD A cross-sectional analysis of outcome data for 18,142 patients discharged from 49 acute care hospitals in Alberta, Canada, for diagnoses of acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, pneumonia, or stroke between April 1, 1998, and March 31, 1999, was done. Mortality data were linked to patient demographic and comorbidity factors, institutional characteristics, and hospital nursing characteristics derived from a survey of all registered nurses working in acute care hospitals. RESULTS Using multilevel analysis, it was determined that the log-odds for 30-day mortality varied significantly across hospitals (variance = .044, p < .001). Patient comorbidities and age explained 44.2% of the variance in 30-day mortality. After adjustment for patient comorbidities and demographic factors, and the size, teaching, and urban status of the study hospitals in a fixed-effects model, the odds ratios (95% confidence interval) of the significant hospital nursing characteristics that predict 30-day mortality were as follows: 0.81 (0.68-0.96) for higher nurse education level, 0.83 (0.73-0.96) for richer nurse skill mix, 1.26 (1.09-1.47) for higher proportion of casual or temporary positions, and 0.74 (0.60-0.91) for greater nurse-physician relationships. The institutional and hospital nursing characteristics explained an additional 36.9%. DISCUSSION Hospital nursing characteristics are an important consideration in efforts to reduce the risk of 30-day mortality of patients.

A Guide to Knowledge Translation Theory

&NA; Despite calls over several decades for theory development, there remains no overarching knowledge‐translation theory. However, a range of models and theoretical perspectives focused on narrower and related areas have been available for some time. We provide an overview of selected perspectives that we believe are particularly useful for developing testable and useful knowledge‐translation interventions. In addition, we discuss adjuvant theories necessary to complement these perspectives. We draw from organizational innovation, health, and social sciences literature to illustrate the similarities and differences of various theoretical perspectives related to the knowledge‐translation field. A variety of theoretical perspectives useful to knowledge translation exist. They are often spread across disciplinary boundaries, making them difficult to locate and use. Poor definitional clarity, discipline‐specific terminology, and implicit assumptions often hinder the use of complementary perspectives. Health care environments are complex, and assessing the setting prior to selecting a theory should be the first step in knowledge‐translation initiatives. Finding a fit between setting (context) and theory is important for knowledge‐translation initiatives to succeed. Because one theory will not fit all contexts, it is helpful to understand and use several different theories. Although there are often barriers associated with combining theories from different disciplines, such obstacles can be overcome, and to do so will increase the likelihood that knowledge‐translation initiatives will succeed.

Influence of organizational characteristics and context on research utilization.

Background: Despite three decades of empirical investigation into research utilization and a renewed emphasis on evidence-based medicine and evidence-based practice in the past decade, understanding of factors influencing research uptake in nursing remains limited. There is, however, increased awareness that organizational influences are important. Objectives: To develop and test a theoretical model of organizational influences that predict research utilization by nurses and to assess the influence of varying degrees of context, based on the Promoting Action on Research Implementation in Health Services (PARIHS) framework, on research utilization and other variables. Methods: The study sample was drawn from a census of registered nurses working in acute care hospitals in Alberta, Canada, accessed through their professional licensing body (n = 6,526 nurses; 52.8% response rate). Three variables that measured PARIHS dimensions of context (culture, leadership, and evaluation) were used to sort cases into one of four mutually exclusive data sets that reflected less positive to more positive context. Then, a theoretical model of hospital- and unit-level influences on research utilization was developed and tested, using structural equation modeling, and 300 cases were randomly selected from each of the four data sets. Results: Model test results were as follows-low context: &khgr;2 = 124.5, df = 80, p <. 001; partially low: &khgr;2 = 144.2, p <. 001, df = 80; partially high: &khgr;2 = 157.3, df = 80, p <. 001; and partially low: &khgr;2 = 146.0, df = 80, p <. 001. Hospital characteristics that positively influenced research utilization by nurses were staff development, opportunity for nurse-to-nurse collaboration, and staffing and support services. Increased emotional exhaustion led to less reported research utilization and higher rates of patient and nurse adverse events. Nurses working in contexts with more positive culture, leadership, and evaluation also reported significantly more research utilization, staff development, and lower rates of patient and staff adverse events than did nurses working in less positive contexts (i.e., those that lacked positive culture, leadership, or evaluation). Conclusion: The findings highlight the combined importance of culture, leadership, and evaluation to increase research utilization and improve patient safety. The findings may serve to strengthen the PARIHS framework and to suggest that, although it is not fully developed, the framework is an appropriate guide to implement research into practice.

The conceptual structure of research utilization

Despite the fact that the nursing literature is replete with calls to make the practice of nursing research based, little is known about the structure and function of research utilization. The purpose of this study was to explore the conceptual structure of research utilization. Data were collected from a randomly selected sample of 600 registered nurses practicing in western Canada. Using the techniques of structural equation modeling (with LISREL), competing models representing conceptual structures of research utilization were developed and evaluated. In the first model, a simplex style of model, the investigator proposed that a nurses early responses would influence subsequent responses to the question measuring research utilization, implying a time ordered causal sequence. In the second style of model, a common cause (or factor-like) model, the investigator proposed a stable underlying concept, research utilization, that was relatively insensitive to prompting and time ordering. The simplex style of model failed to reach acceptable indices of fit. The common cause model fit the data well, suggesting that instrumental, conceptual, and persuasive research utilization exist and that a global measure of research utilization may be defensible.

Aggregating Qualitative Findings: An Approach to Theory Development

The authors suggest that findings of independent, similar research articles may be aggregated into a cohesive study. Such a procedure greatly enhances the generalizability of the original studies and produces a relatively solid mid-range theory. In this article, the criteria for selecting studies, possible problems inherent in the aggregation approach, and potential areas for application are discussed.

Workplace violence in Alberta and British Columbia hospitals

Workplace violence is a significant and widespread public health concern among health care workers, including nurses. With growing awareness of how practice environments influence patient outcomes and the retention of health professionals, it is timely to consider the impact of workplace violence in hospitals. Registered nurses in Alberta and British Columbia, Canada were surveyed on their experiences of violence in the workplace over the last five shifts. Our results suggest that nurses are experiencing many incidences of violence in a given work week, particularly in the emergency, psychiatric, and medical-surgical settings. Most violent acts are perpetrated by patients, but there is also a significant portion of violence and abuse committed by hospital co-workers, particularly emotional abuse and sexual harassment. Our results also indicate that the majority of workplace violence is not reported. We suggest that using the Broken Windows theory might be a useful tool to conceptualize why workplace violence occurs, and that this framework be used to begin to develop new violence prevention policies and strategies.

Health researchers in Alberta: an exploratory comparison of defining characteristics and knowledge translation activities

BackgroundCanadian funding agencies are no longer content to support research that solely advances scientific knowledge, and key directives are now in place to promote research transfer to policy- and decision-makers. Therefore, it is necessary to improve our understanding of how researchers are trained and supported to facilitate knowledge translation activities. In this study, we investigated differences in health researcher characteristics and knowledge translation activities.MethodsOur sample consisted of 240 health researchers from three Alberta universities. Respondents were classified by research domain [basic (n = 72) or applied (n = 168)] and faculty [medical school (n = 128) or other health science (n = 112)]. We examined our findings using Mode I and Mode II archetypes of knowledge production, which allowed us to consider the scholarly and social contexts of knowledge production and translation.ResultsDifferences among health researcher professional characteristics were not statistically significant. There was a significant gender difference in the applied researcher faculty group, which was predominantly female (p < .05). Research domain was linked to translation activities. Applied researchers reported engaging in significantly more Mode II activities than basic researchers (p < .001), and scored higher than basic researchers regarding the perceived importance of translation activities (Mode I, p = .01; Mode II, p < .001). Main effects of faculty were limited to engaged dissemination (medical school < other faculties; p = .025) and number of publications (medical school > other faculties; p = .004). There was an interaction effect for research domain and faculty group for number of publications (p = .01), in that applied researchers in medical faculties published more than their peers in other faculty groups.ConclusionOur findings illustrate important differences between health researchers and provide beginning insights into their professional characteristics and engagement in Mode I and Mode II activities. A future study designed to examine these dimensions in greater detail, including potential covariates across more varied institutions, would yield richer insights and enable an examination of relative influences, needs and costs of each mode of activity.

Sources of Practice Knowledge Among Nurses

Several studies have been published listing sources of practice knowledge used by nurses. However, the authors located no studies that asked clinicians to describe comprehensively and categorize the kinds of knowledge needed to practice or in which the researchers attempted to understand how clinicians privilege various knowledge sources. In this article, the authors report findings from two large ethnographic case studies in which sources of practice knowledge was a subsidiary theme. They draw on data from individual and card sort interviews, as well as participant observations, to identify nurses’ sources of practice knowledge. Their findings demonstrate that nurses categorize their sources of practice knowledge into four broad groupings: social interactions, experiential knowledge, documents, and a priori knowledge. The insights gained add new understanding about sources of knowledge used by nurses and challenge the disproportionate weight that proponents of the evidence-based movement ascribe to research knowledge.

Interventions aimed at increasing research use in nursing: a systematic review

BackgroundThere has been considerable interest recently in developing and evaluating interventions to increase research use by clinicians. However, most work has focused on medical practices; and nursing is not well represented in existing systematic reviews. The purpose of this article is to report findings from a systematic review of interventions aimed at increasing research use in nursing.ObjectiveTo assess the evidence on interventions aimed at increasing research use in nursing.MethodsA systematic review of research use in nursing was conducted using databases (Medline, CINAHL, Healthstar, ERIC, Cochrane Central Register of Controlled Trials, and Psychinfo), grey literature, ancestry searching (Cochrane Database of Systematic Reviews), key informants, and manual searching of journals. Randomized controlled trials and controlled before- and after-studies were included if they included nurses, if the intervention was explicitly aimed at increasing research use or evidence-based practice, and if there was an explicit outcome to research use. Methodological quality was assessed using pre-existing tools. Data on interventions and outcomes were extracted and categorized using a pre-established taxonomy.ResultsOver 8,000 titles were screened. Three randomized controlled trials and one controlled before- and after-study met the inclusion criteria. The methodological quality of included studies was generally low. Three investigators evaluated single interventions. The most common intervention was education. Investigators measured research use using a combination of surveys (three studies) and compliance with guidelines (one study). Researcher-led educational meetings were ineffective in two studies. Educational meetings led by a local opinion leader (one study) and the formation of multidisciplinary committees (one study) were both effective at increasing research use.ConclusionLittle is known about how to increase research use in nursing, and the evidence to support or refute specific interventions is inconclusive. To advance the field, we recommend that investigators: (1) use theoretically informed interventions to increase research use, (2) measure research use longitudinally using theoretically informed and psychometrically sound measures of research use, as well as, measuring patient outcomes relevant to the intervention, and (3) use more robust and methodologically sound study designs to evaluate interventions. If investigators aim to establish a link between using research and improved patient outcomes they must first identify those interventions that are effective at increasing research use.