搜索结果：Journal of nursing measurement

BACKGROUND: Despite the critical role of nursing care in determining high-performing healthcare delivery, performance science in this area is still at an early stage of development and nursing's contribution most often remains invisible to policy-makers and managers. The objectives of this study were: 1) to develop a theoretically based framework to conceptualize nursing care performance; 2) to analyze how the different components of the framework have been operationalized in the literature; and 3) to develop a pool of indicators sensitive to various aspects of nursing care that can be used as a basis for designing a performance measurement system. METHODS: We carried out a systematic review of published literature across three databases (MEDLINE, EMBASE and CINAHL), focusing on literature between 1990 and 2008. Screening of 2,103 papers resulted in final selection of 101 papers. A detailed template was used to extract the data. For the analysis, we used the method of interpretive synthesis, focusing first on 31 papers with theoretical or conceptual frameworks; the remaining 70 articles were used to strengthen and consolidate the findings. RESULTS: Current conceptualizations of nursing care performance mostly reflect a system perspective that builds on system theory, Donabedian's earlier works on healthcare organization, and Parsons' theory of social action. Drawing on these foundational works and the evidence collated, the Nursing Care Performance Framework (NCPF) we developed conceptualizes nursing care performance as resulting from three nursing subsystems that operate together to achieve three key functions: (1) acquiring, deploying and maintaining nursing resources, (2) transforming nursing resources into nursing services, and (3) producing changes in patients' conditions. Based on the literature review, these three functions are operationalized through 14 dimensions that cover 51 variables. The NCPF not only specifies core aspects of nursing performance, it also provides decision-makers with a conceptual tool to serve as a common ground from which to define performance, devise a common and balanced set of performance indicators for a given sector of nursing care, and derive benchmarks for this sector. CONCLUSIONS: The NCPF provides a comprehensive, integrated and theoretically based model that allows performance evaluation of both the overall nursing system and its subsystems. Such an approach widens the view of nursing performance to embrace a multidimensional perspective that encompasses the diverse aspects of nursing care.

paans w., sermeus w., nieweg r.m.b. & van der schans c.p. (2010) D‐Catch instrument: development and psychometric testing of a measurement instrument for nursing documentation in hospitals. Journal of Advanced Nursing 66 (6), 1388–1400. Abstract Title. D‐Catch instrument: development and psychometric testing of a measurement instrument for nursing documentation in hospitals. Aim. This paper is a report of the development and testing of the psychometric properties of an instrument to measure the accuracy of nursing documentation in general hospitals. Background. Little information is available about the accuracy of nursing documentation. None of the existing instruments that quantify accuracy of nursing diagnoses, interventions, and progress and outcome evaluations are suitable to measure documentation in general hospital environments, nor were they intended for this purpose. Method. The D‐Catch instrument, based on the Cat‐ch‐Ing instrument and the Scale for Degrees of Accuracy in Nursing Diagnoses, was developed in 2007–2008. Content validity of the D‐Catch instrument was assessed by two Delphi panels, in which pairs of independent reviewers assessed 245 patient records in seven hospitals in the Netherlands. Construct validity was assessed by explorative factor analysis with principal components and varimax rotation. Internal consistency was measured by Cronbach’s alpha. The inter‐rater reliability of the D‐Catch instrument was tested by calculating Cohen’s weighted kappa ( K w ) for each pair of reviewers. Results. Quantity and quality variables were used to assess the accuracy of nursing documentation. Three constructs were identified in the factor analysis. ‘Accuracy of the nursing diagnosis’ was the only variable with substantial loading on component two (0·907) and a modest loading on component one (0·230). Internal consistency (Cronbach’s alpha) was 0·722. The inter‐rater reliability ( K w ) varied between 0·742 and 0·896. Conclusion. The D‐Catch instrument is a valid and reliable measurement instrument to assess nursing documentation in general hospital settings.

The aim of this report is to present a ranking of Nursing journals covered in Google Scholar Metrics (GSM), a Google product launched in 2012 to assess the impact of scientific journals from citation counts this receive on Google Scholar. Google has chosen to include only those journals that have published at least 100 papers and have at least one citation in a period of five years (2007-2011). Journal rankings are sorted by languages (showing the 100 papers with the greatest impact). This tool allows to sort by subject areas and disciplines, but only in the case of journals in English. In this case, it only shows the 20 journals with the highest h index. This option is not available for journals in the other nine languages present in Google (Chinese, Portuguese, German, Spanish, French, Korean, Japanese, Dutch and Italian). Google Scholar Metrics doesnt currently allow to group and sort all journals belonging to a scientific discipline. In the case of Nursing, in the ten listings displayed by GSM we can only locate 34 journals. Therefore, in an attempt to overcome this limitation, we have used the diversity of search procedures allowed by GSM to identify the greatest number of sci

PURPOSE: This article identifies challenges in defining, measuring, and studying quality of life of nursing home residents. DESIGN AND METHOD: A theoretical analysis was conducted based on literature and the author's own large-scale studies of quality of life of nursing home residents. RESULTS: Measuring quality of life is a relatively low priority in nursing homes because of focus on markers of poor quality of care, pervasive sense that nursing homes are powerless to influence quality of life, and impatience with research among those dedicated to culture change. The research argues that the resident voice must be sought in reaching operational definitions for quality of life and as reporters on the quality of their own lives, and that resident burden is a spurious concern that should not deter direct interviews with residents. Five challenges in measuring quality of life were identified: (a) designing questions with appropriate response categories and time frames, (b) developing a sampling strategy, (c) aggregating information at the individual and facility level, (d) validating what are ultimately subjective constructs, and (e) developing an approach using observations and proxies to assess quality of life for approximately the 40% of the residents who will be impossible to interview. IMPLICATIONS: Although residents' perceived quality of life is partly a product of their health, social supports, and personalities, nursing homes can directly influence quality of life through their policies, practices, and environments, and, indirectly, through their approaches to family and community. A research agenda is needed, which includes both methodological research and studies of the correlates of quality of life.

We compare the network of aggregated journal-journal citation relations provided by the Journal Citation Reports (JCR) 2012 of the Science and Social Science Citation Indexes (SCI and SSCI) with similar data based on Scopus 2012. First, global maps were developed for the two sets separately; sets of documents can then be compared using overlays to both maps. Using fuzzy-string matching and ISSN numbers, we were able to match 10,524 journal names between the two sets; that is, 96.4% of the 10,936 journals contained in JCR or 51.2% of the 20,554 journals covered by Scopus. Network analysis was then pursued on the set of journals shared between the two databases and the two sets of unique journals. Citations among the shared journals are more comprehensively covered in JCR than Scopus, so the network in JCR is denser and more connected than in Scopus. The ranking of shared journals in terms of indegree (that is, numbers of citing journals) or total citations is similar in both databases overall (Spearman's \r{ho} > 0.97), but some individual journals rank very differently. Journals that are unique to Scopus seem to be less important--they are citing shared journals rather than bein

Rankings of scholarly journals based on citation data are often met with skepticism by the scientific community. Part of the skepticism is due to disparity between the common perception of journals' prestige and their ranking based on citation counts. A more serious concern is the inappropriate use of journal rankings to evaluate the scientific influence of authors. This paper focuses on analysis of the table of cross-citations among a selection of Statistics journals. Data are collected from the Web of Science database published by Thomson Reuters. Our results suggest that modelling the exchange of citations between journals is useful to highlight the most prestigious journals, but also that journal citation data are characterized by considerable heterogeneity, which needs to be properly summarized. Inferential conclusions require care in order to avoid potential over-interpretation of insignificant differences between journal ratings. Comparison with published ratings of institutions from the UK's Research Assessment Exercise shows strong correlation at aggregate level between assessed research quality and journal citation `export scores' within the discipline of Statistics.

AIM OF PAPER: This paper presents the findings of a concept analysis of 'context' in relation to the successful implementation of evidence into practice. BACKGROUND: In 1998, a conceptual framework was developed that represented the interplay and interdependence of the many factors influencing the uptake of evidence into practice [Kitson A., Harvey G. & McCormack B. (1998) Quality in Health Care 7, 149]. One of the key elements of the framework was 'context', that is, the setting in which evidence is implemented. It was proposed that key factors in the context of health care practice had a significant impact on the implementation and uptake of evidence. As part of the on-going development and refinement of the framework, the elements within it have undergone a concept analysis in order to provide some theoretical and conceptual rigour to its content. METHODS: Morse's [Morse J.M. (1995) Advances in Nursing Science 17, 31; Morse J.M., Hupcey J.E. & Mitcham C. (1996) Scholarly Inquiry for Nursing Practice. An International Journal 10, 253] approach to concept analysis was used as a framework to review semi-nal texts critically and the supporting research literature in order to establish the conceptual clarity and maturity of 'context' in relation to its importance in the implementation of evidence-based practice. FINDINGS: Characteristics of the concept of context in terms of organizational culture, leadership and measurement are outlined. A main finding is that context specifically means 'the setting in which practice takes place', but that the term itself does little to reflect the complexity of the concept. Whilst the themes of culture and leadership are central characteristics of the concept, the theme of 'measurement' is better articulated through the broader term of 'evaluation'. CONCLUSIONS: There is inconsistency in the use of the term and this has an impact on claims of its importance. The concept of context lacks clarity because of the many issues that impact on the way it is characterized. Additionally, there is limited understanding of the consequences of working with different contexts. Thus, the implications of using context as a variable in research studies exploring research implementation are as yet largely unknown. The concept of context is partially developed but in need of further delineation and comparison.

This study examines the social media uptake of scientific journals on two different platforms - X and WeChat - by comparing the adoption of X among journals indexed in the Science Citation Index-Expanded (SCIE) with the adoption of WeChat among journals indexed in the Chinese Science Citation Database (CSCD). The findings reveal substantial differences in platform adoption and user engagement, shaped by local contexts. While only 22.7% of SCIE journals maintain an X account, 84.4% of CSCD journals have a WeChat official account. Journals in Life Sciences & Biomedicine lead in uptake on both platforms, whereas those in Technology and Physical Sciences show high WeChat uptake but comparatively lower presence on X. User engagement on both platforms is dominated by low-effort interactions rather than more conversational behaviors. Correlation analyses indicate weak-to-moderate relationships between bibliometric indicators and social media metrics, confirming that online engagement reflects a distinct dimension of journal impact, whether on an international or a local platform. These findings underscore the need for broader social media metric frameworks that incorporate locally dom

Using "Analyze Results" at the Web of Science, one can directly generate overlays onto global journal maps of science. The maps are based on the 10,000+ journals contained in the Journal Citation Reports (JCR) of the Science and Social Science Citation Indices (2011). The disciplinary diversity of the retrieval is measured in terms of Rao-Stirling's "quadratic entropy." Since this indicator of interdisciplinarity is normalized between zero and one, the interdisciplinarity can be compared among document sets and across years, cited or citing. The colors used for the overlays are based on Blondel et al.'s (2008) community-finding algorithms operating on the relations journals included in JCRs. The results can be exported from VOSViewer with different options such as proportional labels, heat maps, or cluster density maps. The maps can also be web-started and/or animated (e.g., using PowerPoint). The "citing" dimension of the aggregated journal-journal citation matrix was found to provide a more comprehensive description than the matrix based on the cited archive. The relations between local and global maps and their different functions in studying the sciences in terms of journal lit

An exploratory, descriptive analysis is presented of the national orientation of scientific, scholarly journals as reflected in the affiliations of publishing or citing authors. It calculates for journals covered in Scopus an Index of National Orientation (INO), and analyses the distribution of INO values across disciplines and countries, and the correlation between INO values and journal impact factors. The study did not find solid evidence that journal impact factors are good measures of journal internationality in terms of the geographical distribution of publishing or citing authors, as the relationship between a journal's national orientation and its citation impact is found to be inverse U-shaped. In addition, journals publishing in English are not necessarily internationally oriented in terms of the affiliations of publishing or citing authors; in social sciences and humanities also USA has their nationally oriented literatures. The paper examines the extent to which nationally oriented journals entering Scopus in earlier years, have become in recent years more international. It is found that in the study set about 40 per cent of such journals does reveal traces of internati

Overlay journals are characterised by their articles being published on open access repositories, often already starting in their initial preprint form as a prerequisite for submission to the journal prior to initiating the peer-review process. In this study we aimed to identify currently active overlay journals and examine their characteristics. We utilised an explorative web search and contacted key service providers for additional information. The final sample consisted of 34 overlay journals. While the results show that new overlay journals have been actively established within recent years, the current presence of overlay journals remains diminutive compared to the overall number of open access journals. Most overlay journals publish articles in natural sciences, mathematics or computer sciences, and are commonly published by groups of academics rather than formal organisations. They may also rank highly within the traditional journal citation metrics. None of the investigated journals required fees from authors, which is likely related to the cost-effective aspects of the overlay publishing model. Both the growth in adoption of open access preprint repositories and researcher

Using Scopus data, we construct a global map of science based on aggregated journal-journal citations from 1996-2012 (N of journals = 20,554). This base map enables users to overlay downloads from Scopus interactively. Using a single year (e.g., 2012), results can be compared with mappings based on the Journal Citation Reports at the Web-of-Science (N = 10,936). The Scopus maps are more detailed at both the local and global levels because of their greater coverage, including, for example, the arts and humanities. The base maps can be interactively overlaid with journal distributions in sets downloaded from Scopus, for example, for the purpose of portfolio analysis. Rao-Stirling diversity can be used as a measure of interdisciplinarity in the sets under study. Maps at the global and the local level, however, can be very different because of the different levels of aggregation involved. Two journals, for example, can both belong to the humanities in the global map, but participate in different specialty structures locally. The base map and interactive tools are available online (with instructions) at http://www.leydesdorff.net/scopus_ovl.

Using the Scopus dataset (1996-2007) a grand matrix of aggregated journal-journal citations was constructed. This matrix can be compared in terms of the network structures with the matrix contained in the Journal Citation Reports (JCR) of the Institute of Scientific Information (ISI). Since the Scopus database contains a larger number of journals and covers also the humanities, one would expect richer maps. However, the matrix is in this case sparser than in the case of the ISI data. This is due to (i) the larger number of journals covered by Scopus and (ii) the historical record of citations older than ten years contained in the ISI database. When the data is highly structured, as in the case of large journals, the maps are comparable, although one may have to vary a threshold (because of the differences in densities). In the case of interdisciplinary journals and journals in the social sciences and humanities, the new database does not add a lot to what is possible with the ISI databases.

A number of journal classification systems have been developed in bibliometrics since the launch of the Citation Indices by the Institute of Scientific Information (ISI) in the 1960s. These systems are used to normalize citation counts with respect to field-specific citation patterns. The best known system is the so-called "Web-of-Science Subject Categories" (WCs). In other systems papers are classified by algorithmic solutions. Using the Journal Citation Reports 2014 of the Science Citation Index and the Social Science Citation Index (n of journals = 11,149), we examine options for developing a new system based on journal classifications into subject categories using aggregated journal-journal citation data. Combining routines in VOSviewer and Pajek, a tree-like classification is developed. At each level one can generate a map of science for all the journals subsumed under a category. Nine major fields are distinguished at the top level. Further decomposition of the social sciences is pursued for the sake of example with a focus on journals in information science (LIS) and science studies (STS). The new classification system improves on alternative options by avoiding the problem

BACKGROUND: Up to half of people with dementia in high income countries live in nursing homes and more than two-thirds of care home residents have dementia. Fewer than half of these residents report good quality of life and most older people are anxious about the prospect of moving into a nursing home. Robust evidence is needed as to the causes of admission to nursing homes, particularly where these risk factors are modifiable. METHODS: We conducted a systematic literature search to identify controlled comparison studies in which the primary outcome was admission to nursing home of older adults with dementia. Identified studies were assessed for validity and 26 (17 cohort and 9 case-control) were included. Qualitative and quantitative analyses were conducted, including meta-analysis of 15 studies. RESULTS: Poorer cognition and behavioral and psychological symptoms of dementia (BPSD) were consistently associated with an increased risk of nursing home admission and most of our meta-analyses demonstrated impairments in activities of daily living as a significant risk. The effects of community support services were unclear, with both high and low levels of service use leading to nursing home placement. There was an association between caregiver burden and risk of institutionalization, but findings with regard to caregiver depression varied, as did physical health associations, with some studies showing an increased risk of nursing home placement following hip fracture, reduced mobility, and multiple comorbidities. CONCLUSION: We recommend focusing on cognitive enhancement strategies, assessment and management of BPSD, and carer education and support to delay nursing home placement.

Using three years of the Journal Citation Reports (2011, 2012, and 2013), indicators of transitions in 2012 (between 2011 and 2013) are studied using methodologies based on entropy statistics. Changes can be indicated at the level of journals using the margin totals of entropy production along the row or column vectors, but also at the level of links among journals by importing the transition matrices into network analysis and visualization programs (and using community-finding algorithms). Seventy-four journals are flagged in terms of discontinuous changes in their citations; but 3,114 journals are involved in "hot" links. Most of these links are embedded in a main component; 78 clusters (containing 172 journals) are flagged as potential "hot spots" emerging at the network level. An additional finding is that PLoS ONE introduced a new communication dynamics into the database. The limitations of the methodology are elaborated using an example. The results of the study indicate where developments in the citation dynamics can be considered as significantly unexpected. This can be used as heuristic information; but what a "hot spot" in terms of the entropy statistics of aggregated cit

Defining and measuring internationality as a function of influence diffusion of scientific journals is an open problem. There exists no metric to rank journals based on the extent or scale of internationality. Measuring internationality is qualitative, vague, open to interpretation and is limited by vested interests. With the tremendous increase in the number of journals in various fields and the unflinching desire of academics across the globe to publish in "international" journals, it has become an absolute necessity to evaluate, rank and categorize journals based on internationality. Authors, in the current work have defined internationality as a measure of influence that transcends across geographic boundaries. There are concerns raised by the authors about unethical practices reflected in the process of journal publication whereby scholarly influence of a select few are artificially boosted, primarily by resorting to editorial maneuvres. To counter the impact of such tactics, authors have come up with a new method that defines and measures internationality by eliminating such local effects when computing the influence of journals. A new metric, Non-Local Influence Quotient(NLI

There is an overall perception of increased interdisciplinarity in science, but this is difficult to confirm quantitatively owing to the lack of adequate methods to evaluate subjective phenomena. This is no different from the difficulties in establishing quantitative relationships in human and social sciences. In this paper we quantified the interdisciplinarity of scientific journals and science fields by using an entropy measurement based on the diversity of the subject categories of journals citing a specific journal. The methodology consisted in building citation networks using the Journal Citation Reports database, in which the nodes were journals and edges were established based on citations among journals. The overall network for the 11-year period (1999-2009) studied was small-world and scale free with regard to the in-strength. Upon visualizing the network topology an overall structure of the various science fields could be inferred, especially their interconnections. We confirmed quantitatively that science fields are becoming increasingly interdisciplinary, with the degree of interdisplinarity (i.e. entropy) correlating strongly with the in-strength of journals and with t

The journal impact factor (JIF) is the average of the number of citations of the papers published in a journal, calculated according to a specific formula; it is extensively used for the evaluation of research and researchers. The method assumes that all papers in a journal have the same scientific merit, which is measured by the JIF of the publishing journal. This implies that the number of citations measures scientific merits but the JIF does not evaluate each individual paper by its own number of citations. Therefore, in the comparative evaluation of two papers, the use of the JIF implies a risk of failure, which occurs when a paper in the journal with the lower JIF is compared to another with fewer citations in the journal with the higher JIF. To quantify this risk of failure, this study calculates the failure probabilities, taking advantage of the lognormal distribution of citations. In two journals whose JIFs are ten-fold different, the failure probability is low. However, in most cases when two papers are compared, the JIFs of the journals are not so different. Then, the failure probability can be close to 0.5, which is equivalent to evaluating by coin flipping.