Indicators used by clinicians to assess pain in the brain injured

INTRODUCTION. The assessment of pain in critically ill brain-injured patients is challenging for health professionals. In addition to be unable to self-report, the confused and stereotyped behaviors of these patients are likely to alter their ''normal'' pain responses. Therefore, the pain indicators observed in the general critically ill population may not be appropriate. OBJECTIVES. To identify behavioral and physiological indicators used by clinicians to assess pain in critically ill brain-injured patients who are unable to self-report. METHODS.Amixed-method design was used with the first step being the combination of the results of an integrative literature review with the results of nominal groups of 12 nurses and four physicians. The second step involved a web-based survey to establish content validity. Fourteen experts (clinicians and academics) from three French speaking European countries rated the relevance of each indicator. A content validity index (CVI) was computed for each indicator (I-CVI) and for each category (S-CVI). RESULTS. The first step generated 52 indicators. These indicators were classified into six categories: facial expressions, position/movement, muscle tension, vocalization, compliance with ventilator, and physiological indicators. In the second step, the agreement between raters was high with an Intraclass Correlation Coefficient of 0.88 (95% CI 0.83-0.92). The I-CVIs ranged from 0.07 to 1. Indicators with an I-CVI below 0.5 (n = 12) were not retained, resulting in a final list of 30 indicators. The CVI for this final list was 0.75 with categories ranging from 0.67 (compliance with ventilation) to 0.87 (vocalization). CONCLUSIONS. This process identified specific pain indicators for critically ill braininjured patients. Further evaluation is in progress to test the validity and relevance of these indicators in the clinical setting.

Iowa Leading Indicators Index after One Year: An Assessment and Update

The Iowa Leading Indicators Index (ILII) Annual Assessment and Update assesses how well the ILII has met the goals behind its development, gauges the validity of the existing components, considers additional components that have been suggested along the way, and carries out the annual updates necessary for such an index.

Iowa Leading Indicators Index after Two Years: An Assessment and Update

The Iowa Leading Indicators Index (ILII) Annual Assessment and Update assesses how well the ILII has met the goals behind its development, gauges the validity of the existing components, considers additional components that have been suggested along the way, and carries out the annual updates necessary for such an index.

Iowa Leading Indicators Index after Three Years: An Assessment and Update

The Iowa Leading Indicators Index (ILII) Annual Assessment and Update assesses how well the ILII has met the goals behind its development, gauges the validity of the existing components, considers additional components that have been suggested along the way, and carries out the annual updates necessary for such an index.

Iowa Leading Indicators Index July 2009

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Iowa Leading Indicators Index, August 2009

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Incidence of stent thrombosis and adverse cardiac events 5 years after sirolimus stent implantation in clinical practice.

BACKGROUND: The long-term incidence of stent thrombosis (ST) and complications after sirolimus-eluting stents (SES) implantation is still a matter of debate. METHOD: We conducted a systematic follow-up on the day of their 5-year SES implantation anniversary, in a series of consecutive real-world patients treated with a SES. The use of SES implantation was not restricted to "on-label" indications, and target lesions included in-stent restenosis, vein graft, left main stem locations, bifurcations, and long lesions. The Academic Research Consortium criteria were used for ST classification. RESULTS: Three hundred fifty consecutive patients were treated with SES between April and December 2002 in 3 Swiss hospitals. Mean age was 63 +/- 6 years, 78% were men, 20% presented with acute coronary syndrome, and 19% were patients with diabetes. Five-year follow-up was obtained in 98% of eligible patients. Stent thrombosis had occurred in 12 patients (3.6%) [definite 6 (1.8%), probable 1 (0.3%) and possible 5 (1.5%)]. Eighty-one percent of the population was free of complications. Major adverse cardiac events occurred in 74 (21%) patients and were as follows: cardiac death 3%, noncardiac death 4%, myocardial infarction 2%, target lesion revascularization 8%, non-target lesion revascularization target vessel revascularization 3%, coronary artery bypass graft 2%. Non-TVR was performed in 8%. CONCLUSION: Our data confirm the good long-term outcome of patients treated with SES. The incidence of complications and sub acute thrombosis at 5 years in routine clinical practice reproduces the results of prospective randomized trials.

Iowa Leading Indicators Index September 2009

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Good practice in authoring manuscripts on geomorphology

This article aims to help potential authors of geomorphological articles to get their work published. It identifies the basic characteristics of a good manuscript in geomorphology in terms of: (a) originality and significance; and (b) rigour. It uses these characteristics to define how an author should structure a conventional' manuscript in geomorphology by successfully identifying and justifying the motivation for the research; clearly and fully explaining the methods used; and presenting and discussing the results obtained. The article considers the importance of published literature in sustaining all elements of a manuscript in geomorphology. It also presents the natural symmetry that should exist between parts of a manuscript. These practical elements regarding the form and content of a manuscript are then developed through: (a) flagging some of the common mistakes made by authors drawing upon my experience as Managing Editor of the journal Earth Surface Processes and Landforms; (b) discussing the ethical and legal issues, including plagiarism, that relate to manuscript submission; (c) exploring the review process from the perspective of an author, including guidance on how best to respond to review comments in revising a manuscript. Copyright (c) 2013 John Wiley & Sons, Ltd.

Benchmarking for routines and organizational knowledge

We use best practice benchmarking rationales to propose a dynamic research design that accounts for the endogenous components of across-firms heterogeneous routines to study changes in performance and their link to organizational knowledge investments. We thus contribute to the operationalization of management theoretical frameworks based on resources and routines. The research design employs frontier measures that provide industry-level benchmarking in organizational settings, and proposes some new indicators for firm-level strategic benchmarking. A profit-oriented analysis of the U.S. technology industry during 2000-2011 illustrates the usefulness of our design. Findings reveal that industry revival following economic distress comes along with wider gaps between best and worst performers. Second stage analyses show that increasing intangibles stocks is positively associated with fixed target benchmarking, while enhancing R&D spending is linked to local frontier progress. The discussion develops managerial interpretations of the benchmarking measures that are suitable for control mechanisms and reward systems.

Iowa Leading Indicators Index October 2009

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Iowa Leading Indicators Index, November 2009

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Iowa Leading Indicators Index, December 2009

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Iowa Leading Indicators Index January 2010

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.