1. |
- Seers, Kate, et al.
(författare)
-
FIRE (Facilitating Implementation of Research Evidence) : a study protocol
- 2012
-
Ingår i: Implementation Science. - : BioMed Central (BMC). - 1748-5908. ; 7:25
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Research evidence underpins best practice, but is not always used in healthcare. The Promoting Action on Research Implementation in Health Services (PARIHS) framework suggests that the nature of evidence, the context in which it is used, and whether those trying to use evidence are helped (or facilitated) affect the use of evidence. Urinary incontinence has a major effect on quality of life of older people, has a high prevalence, and is a key priority within European health and social care policy. Improving continence care has the potential to improve the quality of life for older people and reduce the costs associated with providing incontinence aids. OBJECTIVES: This study aims to advance understanding about the contribution facilitation can make to implementing research findings into practice via: extending current knowledge of facilitation as a process for translating research evidence into practice; evaluating the feasibility, effectiveness, and cost-effectiveness of two different models of facilitation in promoting the uptake of research evidence on continence management; assessing the impact of contextual factors on the processes and outcomes of implementation; and implementing a pro-active knowledge transfer and dissemination strategy to diffuse study findings to a wide policy and practice community. SETTING AND SAMPLE: Four European countries, each with six long-term nursing care sites (total 24 sites) for people aged 60 years and over with documented urinary incontinence METHODS AND DESIGN: Pragmatic randomised controlled trial with three arms (standard dissemination and two different programmes of facilitation), with embedded process and economic evaluation. The primary outcome is compliance with the continence recommendations. Secondary outcomes include proportion of residents with incontinence, incidence of incontinence-related dermatitis, urinary tract infections, and quality of life. Outcomes are assessed at baseline, then at 6, 12, 18, and 24 months after the start of the facilitation interventions. Detailed contextual and process data are collected throughout, using interviews with staff, residents and next of kin, observations, assessment of context using the Alberta Context Tool, and documentary evidence. A realistic evaluation framework is used to develop explanatory theory about what works for whom in what circumstances. TRIAL REGISTRATION: Current Controlled Trials ISRCTN11598502.
|
|
2. |
- Bergström, Anna, et al.
(författare)
-
Health system context and implementation of evidence-based practices-development and validation of the Context Assessment for Community Health (COACH) tool for low- and middle-income settings
- 2015
-
Ingår i: Implementation Science. - : Springer Science and Business Media LLC. - 1748-5908. ; 10
-
Tidskriftsartikel (refereegranskat)abstract
- Background: The gap between what is known and what is practiced results in health service users not benefitting from advances in healthcare, and in unnecessary costs. A supportive context is considered a key element for successful implementation of evidence-based practices (EBP). There were no tools available for the systematic mapping of aspects of organizational context influencing the implementation of EBPs in low- and middle-income countries (LMICs). Thus, this project aimed to develop and psychometrically validate a tool for this purpose. Methods: The development of the Context Assessment for Community Health (COACH) tool was premised on the context dimension in the Promoting Action on Research Implementation in Health Services framework, and is a derivative product of the Alberta Context Tool. Its development was undertaken in Bangladesh, Vietnam, Uganda, South Africa and Nicaragua in six phases: (1) defining dimensions and draft tool development, (2) content validity amongst in-country expert panels, (3) content validity amongst international experts, (4) response process validity, (5) translation and (6) evaluation of psychometric properties amongst 690 health workers in the five countries. Results: The tool was validated for use amongst physicians, nurse/midwives and community health workers. The six phases of development resulted in a good fit between the theoretical dimensions of the COACH tool and its psychometric properties. The tool has 49 items measuring eight aspects of context: Resources, Community engagement, Commitment to work, Informal payment, Leadership, Work culture, Monitoring services for action and Sources of knowledge. Conclusions: Aspects of organizational context that were identified as influencing the implementation of EBPs in high-income settings were also found to be relevant in LMICs. However, there were additional aspects of context of relevance in LMICs specifically Resources, Community engagement, Commitment to work and Informal payment. Use of the COACH tool will allow for systematic description of the local healthcare context prior implementing healthcare interventions to allow for tailoring implementation strategies or as part of the evaluation of implementing healthcare interventions and thus allow for deeper insights into the process of implementing EBPs in LMICs.
|
|
3. |
|
|
4. |
- Cummings, Greta G, et al.
(författare)
-
Influence of organizational characteristics and context on research utilization
- 2007
-
Ingår i: Nursing Research. - 0029-6562 .- 1538-9847. ; 56:4 Suppl, s. 24-39
-
Tidskriftsartikel (refereegranskat)abstract
- 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: chi2= 124.5, df = 80, p <. 001; partially low: chi2= 144.2, p <. 001, df = 80; partially high: chi2= 157.3, df = 80, p <. 001; and partially low: chi2= 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.
|
|
5. |
- Estabrooks, Carole A, et al.
(författare)
-
Predicting research use in nursing organizations : a multilevel analysis
- 2007
-
Ingår i: Nursing Research. - 0029-6562 .- 1538-9847. ; 56:4 Suppl, s. 7-23
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: No empirical literature was found that explained how organizational context (operationalized as a composite of leadership, culture, and evaluation) influences research utilization. Similarly, no work was found on the interaction of individuals and contextual factors, or the relative importance or contribution of forces at different organizational levels to either such proposed interactions or, ultimately, to research utilization.OBJECTIVE: To determine independent factors that predict research utilization among nurses, taking into account influences at individual nurse, specialty, and hospital levels.DESIGN: Cross-sectional survey data for 4,421 registered nurses in Alberta, Canada were used in a series of multilevel (three levels) modeling analyses to predict research utilization.METHODS: A multilevel model was developed in MLwiN version 2.0 and used to: (a) estimate simultaneous effects of several predictors and (b) quantify the amount of explained variance in research utilization that could be apportioned to individual, specialty, and hospital levels.FINDINGS: There was significant variation in research utilization (p <.05). Factors (remaining in the final model at statistically significant levels) found to predict more research utilization at the three levels of analysis were as follows. At the individual nurse level (Level 1): time spent on the Internet and lower levels of emotional exhaustion. At the specialty level (Level 2): facilitation, nurse-to-nurse collaboration, a higher context (i.e., of nursing culture, leadership, and evaluation), and perceived ability to control policy. At the hospital level (Level 3): only hospital size was significant in the final model. The total variance in research utilization was 1.04, and the intraclass correlations (the percent contribution by contextual factors) were 4% (variance = 0.04, p <.01) at the hospital level and 8% (variance = 0.09, p <.05) at the specialty level. The contribution attributable to individual factors alone was 87% (variance = 0.91, p <.01).CONCLUSIONS: Variation in research utilization was explained mainly by differences in individual characteristics, with specialty- and organizational-level factors contributing relatively little by comparison. Among hospital-level factors, hospital size was the only significant determinant of research utilization. Although organizational determinants explained less variance in the model, they were still statistically significant when analyzed alone. These findings suggest that investigations into mechanisms that influence research utilization must address influences at multiple levels of the organization. Such investigations will require careful attention to both methodological and interpretative challenges present when dealing with multiple units of analysis.
|
|
6. |
- Estabrooks, Carole A, et al.
(författare)
-
The intellectual structure and substance of the knowledge utilization field : a longitudinal author co-citation analysis, 1945 to 2004
- 2008
-
Ingår i: Implementation Science. - : Springer Science and Business Media LLC. - 1748-5908. ; 3, s. 49-
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: It has been argued that science and society are in the midst of a far-reaching renegotiation of the social contract between science and society, with society becoming a far more active partner in the creation of knowledge. On the one hand, new forms of knowledge production are emerging, and on the other, both science and society are experiencing a rapid acceleration in new forms of knowledge utilization. Concomitantly since the Second World War, the science underpinning the knowledge utilization field has had exponential growth. Few in-depth examinations of this field exist, and no comprehensive analyses have used bibliometric methods.METHODS: Using bibliometric analysis, specifically first author co-citation analysis, our group undertook a domain analysis of the knowledge utilization field, tracing its historical development between 1945 and 2004. Our purposes were to map the historical development of knowledge utilization as a field, and to identify the changing intellectual structure of its scientific domains. We analyzed more than 5,000 articles using citation data drawn from the Web of Science. Search terms were combinations of knowledge, research, evidence, guidelines, ideas, science, innovation, technology, information theory and use, utilization, and uptake.RESULTS: We provide an overview of the intellectual structure and how it changed over six decades. The field does not become large enough to represent with a co-citation map until the mid-1960s. Our findings demonstrate vigorous growth from the mid-1960s through 2004, as well as the emergence of specialized domains reflecting distinct collectives of intellectual activity and thought. Until the mid-1980s, the major domains were focused on innovation diffusion, technology transfer, and knowledge utilization. Beginning slowly in the mid-1980s and then growing rapidly, a fourth scientific domain, evidence-based medicine, emerged. The field is dominated in all decades by one individual, Everett Rogers, and by one paradigm, innovation diffusion.CONCLUSION: We conclude that the received view that social science disciplines are in a state where no accepted set of principles or theories guide research (i.e., that they are pre-paradigmatic) could not be supported for this field. Second, we document the emergence of a new domain within the knowledge utilization field, evidence-based medicine. Third, we conclude that Everett Rogers was the dominant figure in the field and, until the emergence of evidence-based medicine, his representation of the general diffusion model was the dominant paradigm in the field.
|
|
7. |
- Estabrooks, Carole A, et al.
(författare)
-
Towards better measures of research utilization : a collaborative study in Canada and Sweden
- 2011
-
Ingår i: Journal of Advanced Nursing. - : Wiley-Blackwell. - 0309-2402 .- 1365-2648. ; 67:8, s. 1705-18
-
Tidskriftsartikel (refereegranskat)abstract
- AIMS: This paper is a report of a study examining research utilization in nursing. The specific aims were to (1) clarify the construct of research utilization, and (2) identify observable indicators of research utilization.BACKGROUND: Robust measures of research utilization do not exist despite steadily increasing numbers of studies in the field. One reason for this is theoretical confusion surrounding the central concepts in the field.METHOD: A qualitative (focus group) design was used to explore the construct of research utilization in two countries: Canada and Sweden. A systematic and sequential (three phases) approach to expert sampling framed the study. Phase 1 consisted of initial construct clarification by the research team (2005). In Phase 2, a face-to-face meeting with a panel of international research utilization nursing experts was held (2005). Phase 3 consisted of a series of focus groups with nursing care (direct and non-direct) providers (2005-2007). Data were analysed using content analysis.FINDINGS: The nursing care providers did not commonly use the term 'research utilization'. Several examples of research utilization were provided; a majority of these examples related to instrumental research utilization and became increasingly concrete as one moved from non-direct to direct care participants. Participants identified several indicators of research utilization (instrumental and conceptual). From these indicators, a measurement schematic was derived.CONCLUSIONS: The construct of research utilization is multi-faceted. Several indicators of research utilization were identified, which can be used to augment existing or develop a new and improved measure that taps both instrumental and conceptual use.
|
|
8. |
- Kajermo Nilsson, Kerstin, et al.
(författare)
-
The BARRIERS scale - the barriers to research utilization scale : A systematic review
- 2010
-
Ingår i: Implementation Science. - : Springer Science and Business Media LLC. - 1748-5908. ; 5, s. 32-
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: A commonly recommended strategy for increasing research use in clinical practice is to identify barriers to change and then tailor interventions to overcome the identified barriers. In nursing, the BARRIERS scale has been used extensively to identify barriers to research utilization.AIM AND OBJECTIVES: The aim of this systematic review was to examine the state of knowledge resulting from use of the BARRIERS scale and to make recommendations about future use of the scale. The following objectives were addressed: To examine how the scale has been modified, to examine its psychometric properties, to determine the main barriers (and whether they varied over time and geographic locations), and to identify associations between nurses' reported barriers and reported research use.METHODS: Medline (1991 to September 2009) and CINHAL (1991 to September 2009) were searched for published research, and ProQuest(R) digital dissertations were searched for unpublished dissertations using the BARRIERS scale. Inclusion criteria were: studies using the BARRIERS scale in its entirety and where the sample was nurses. Two authors independently assessed the study quality and extracted the data. Descriptive and inferential statistics were used.RESULTS: Sixty-three studies were included, with most using a cross-sectional design. Not one study used the scale for tailoring interventions to overcome identified barriers. The main barriers reported were related to the setting, and the presentation of research findings. Overall, identified barriers were consistent over time and across geographic locations, despite varying sample size, response rate, study setting, and assessment of study quality. Few studies reported associations between reported research use and perceptions of barriers to research utilization.CONCLUSIONS: The BARRIERS scale is a nonspecific tool for identifying general barriers to research utilization. The scale is reliable as reflected in assessments of internal consistency. The validity of the scale, however, is doubtful. There is no evidence that it is a useful tool for planning implementation interventions. We recommend that no further descriptive studies using the BARRIERS scale be undertaken. Barriers need to be measured specific to the particular context of implementation and the intended evidence to be implemented.
|
|
9. |
- Meijers, Judith M M, et al.
(författare)
-
Assessing the relationships between contextual factors and research utilization in nursing : systematic literature review
- 2006
-
Ingår i: Journal of Advanced Nursing. - : Wiley. - 0309-2402 .- 1365-2648. ; 55:5, s. 622-35
-
Tidskriftsartikel (refereegranskat)abstract
- AIM: This paper reports a systematic literature review examining relationships between contextual factors and research utilization in nursing, examining the strength of these relationships, and mapping the contextual factors to the Promoting Action on Research Implementation in Health Services model of research implementation.BACKGROUND: Healthcare organizations have long struggled with how to improve clinical care outcomes. Understanding which contextual factors enhance nursing research utilization may support organizations in creating environments that facilitate the uptake of evidence in nursing practice to improve these outcomes.METHODS: A search of five electronic bibliographic databases and a manual search of specific journals were conducted for studies that were published in English and examined contextual factors as independent variables and research utilization as the dependent variable from the perspective of nurses working in clinical practice. The studies were assessed for quality of design, sample, measurement and statistical analysis.RESULTS: Ten papers met the search criteria. Six contextual factors were identified as having a statistically significant relationship with research utilization, namely the role of the nurse, multi-faceted access to resources, organizational climate, multi-faceted support, time for research activities and provision of education. The contextual factors could successfully be mapped to the dimensions of context in the Promoting Action on Research Implementation in Health Services framework (context, culture, leadership), with the exception of evaluation.CONCLUSION: The strength of the relationship between the six contextual factors and research utilization by nurses is still largely unknown as (a) few studies were found of sufficient quality because of methodological limitations and (b) the results in reviewed studies were mixed. More robust methods in future work would yield a better understanding of the full impact of contextual factors on nurses' use of research.
|
|
10. |
- Midodzi, William K, et al.
(författare)
-
An alternative approach to addressing missing indicators in parallel datasets : research utilization as a phantom latent variable
- 2007
-
Ingår i: Nursing Research. - 0029-6562 .- 1538-9847. ; 56:4 Suppl, s. 47-52
-
Tidskriftsartikel (refereegranskat)abstract
- When doing secondary data analysis, it is not uncommon to find that a key variable was not measured. Often the researcher has no option but to do without the missing indicator, but when nearly parallel datasets exist, the researcher may have other options. In an earlier article leading up to this special issue, this research team was confronted with the problem that research utilization had been measured in only one of two similar datasets, namely, in the 1996 but not the 1998 Alberta Registered Nurse survey. The 1998 dataset had a larger sample size (6,526 compared to 600 nurse respondents in 1996) and a stronger set of measured variables, but was missing the key variable of interest--research utilization. To overcome this, a regression-based strategy was used to create a research utilization score for each nurse in the 1998 survey by exploiting the availability of several anticipated causes of research utilization in both datasets. Presented here is an alternative and more complicated procedure that might be applied in future investigations. The article presents a methodological understanding of how to use a phantom variable to account for the unmeasured research utilization variable in a two-group structural equation model. This approach could be used to overcome several of the limitations connected to using a regression-based approach to creating a key missing variable when nearly parallel datasets are available.
|
|