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PubMed1994

Developing an effective adult nutrition screening tool for a community hospital.

OBJECTIVE: To develop a sensitive and specific nutrition screening tool that conforms to the requirements of the Joint Commission on Accreditation of Healthcare Organizations (JCAHO) and is effective in any given hospital population. DESIGN: A two-step prospective evaluation was performed in two unrelated community hospitals to determine the effectiveness of a current nutrition screening tool, and to develop a new, more sensitive tool that permits efficient use of available personnel. STATISTICAL ANALYSES: Standard calculations for sensitivity, specificity, positive predictive value, and negative predictive value were used to compare the results of various screening methods with those of full nutrition assessments. Stepwise discriminant analysis was used to determine specific parameters that contributed to the diagnosis of malnutrition and to derive a predictive equation based on these parameters. METHODS: In part 1, 100 patients admitted consecutively were evaluated using a subjective screening tool; the results were compared with those from full nutrition assessment of the same patients. Stepwise discriminant analysis identified three parameters most closely related to malnutrition, and a multivariant equation relative to nutrition risk was derived. In part 2, 151 randomly selected adult medical and surgical patients were evaluated at admission with the same screening tool used in part 1. Additionally, prealbumin level was determined on admission. The results of the screening, the discriminant analysis equation from part 1, and both methods incorporating the prealbumin level were compared with the results of a full nutrition assessment. RESULTS: In part 1, discriminant analysis identified total lymphocyte count, percentage weight loss, and serum albumin level as the three best indicators of malnutrition. A multivariant equation incorporating these objective parameters was derived. In part 2, the equation yielded better sensitivity and specificity results than other screening methods. Inclusion of prealbumin level did not improve screening methods. CONCLUSIONS: The revised screening tool described can be used as the basis of an effective screening program that meets the proposed JCAHO nutrition care standards.

Adult↗

PubMed1986

Effect of body posture and common hand tools on peak torque exertion capabilities.

An experimental investigation was conducted to investigate the effects of body posture and of different types of common non-powered hand tools on maximum volitional torque exertion capabilities of males and females. Thirty-six males and 14 females applied peak torque in 21 different body postures while using nine different hand tools. The data analysis indicated that, for both males and females, the magnitude of volitional torque is strongly influenced by the type of tool used and the posture assumed. Between the two, however, the effect of hand tool is more profound. The correlation between the tool type and volitional torque was of the order of 0.71. No other variable was as strongly correlated with volitional torque. Maximum volitional torque profiles, as a function of posture and tool type, are provided for males and females.

Journal Article↗

PubMed2006

Initial evaluation of a computer-based medication management tool in a geriatric clinic.

BACKGROUND: Optimal management of medication regimens remains a challenge for elderly patients and their providers. Tools that aid communication and adherence can be valuable but often do not meet expectations. OBJECTIVE: The purpose of this article was to describe the development and preliminary evaluation of a computer-based medication management tool, the Visual Medication Profile (VMP), and to report initial feedback from geriatric patient and provider focus groups. METHODS: For VMP development, an interdisciplinary team (ie, physicians, nurses, pharmacists, computer analysts, and programmers) designed the fully automated, Web-based intervention that integrates the Veterans Affairs Medical Center (VAMC) computer pharmacy system with the computerized patient record system. In addition to development of the required technology, a mixed methods design and a convenience sample were used to collect pilot data related to patient-provider issues about medication management, and the acceptance, feasibility, and usefulness of the VMP. This involved the use of focus groups and a pilot study group. RESULTS: First, the interdisciplinary team developed the VMP by integrating data from the pharmacy database, the patient's database, and a pill photograph database. Second, patients and providers in the focus groups discussed medication management issues and evaluated a sample VMP. Patients (n = 8; mean age, 76 years; 5 black, 3 white) noted the following medication management problems: (1) not understanding the information provided by the physician; (2) multiple providers; and (3) unpronounceable names of medications. Providers (n = 8 [4 physicians, 4 nurse practitioners]) noted that patients and providers use different language to discuss medications; that there is a lack of congruence between patients' self-report of current medications and their medical record; and that there are severe time constraints for clinic appointments and concern regarding introducing a new clinical tool. Both groups favored a VMP-like tool to improve communication. In the VMP prototype pilot study, a patient-specific VMP was developed for each of 6 subjects (mean age, 79.7 years; 3 black, 3 white) from the outpatient geriatric clinic. Congruence rates ranged from 51% to 100%. Five of the 6 subjects participated in follow-up. The nurse's telephone log from the pilot study revealed that although 4 out of the 5 subjects and/or caregivers reported that they favored the VMP as a medical management tool, the use of the VMP at home varied considerably. CONCLUSIONS: The VMP is a promising tool for use by both patients and providers to improve medication management. Although it was developed in the VAMC system, its Web-based platform has the potential for export to other systems.

Academic Medical Centers↗

PubMed2005

[Low back pain disability assessment tools].

OBJECTIVES: To identify and compare low back pain functional assessment tools and to determine their characteristics and the selection criteria for their use. MATERIALS AND METHOD: We systematically searched Medline with the key words: low back pain, scale validity, questionnaire, assessment, outcome, and functional evaluation and with some data from the "Guide des Outils de Mesure et d'Evaluation en Médecine Physique et de Réadaptation", which allowed us to complete the search on specific tools including the Roland Disability Questionnaire, Dallas Pain Questionnaire, Quebec Back Pain Questionnaire, and Oswestry Back Pain Questionnaire. We restricted our analysis to studies about the psychometric properties of functional tools. RESULTS: We identified 19 scales or questionnaires, 9 specifically for low back pain and with a concept of functional incapacity. Four tools are recognised as having good psychometric properties and are widely used with linguistic adaptations in different countries. We also identified 10 generic tools proposed to assess outcome in low back pain, which are more conceptually linked to perceived health status, quality of life, and pain assessment. CONCLUSION: A "gold standard" to evaluate disability in low back pain does not exist, but only 4 tools (the Dallas Pain Questionnaire, Roland Disability Questionnaire, Quebec Back Pain Disability Scale and Oswestry Low Back Pain Disability Questionnaire) demonstrated strong qualities (content and construct validity, feasibility, linguistic adaptation and international use).

Disability Evaluation↗

PubMed2004

Semia: semi-automatic interactive graphic editing tool to annotate ambulatory ECG records.

We designed and developed a special purpose interactive graphic editing tool semi-automatic (Semia) to annotate transient ischaemic ST segment episodes and other non-ischaemic ST segment events in 24h ambulatory electrocardiogram (ECG) records. The tool allows representation and viewing of the data, interaction with the data globally and locally at different resolutions, examining data at any point, manual adjustment of heart-beat fiducial points, and manual and automatic editing of annotations. Efficient and fast display of ambulatory ECG signal waveforms, display of diagnostic and morphology feature-vector time-series, dynamic interface controls, and automated procedures to help annotate, made the tool efficient, user friendly and usable. Human expert annotators used the Semia tool to successfully annotate the Long-Term ST database (LTST DB), a result of a multinational effort. The tool supported paperless editing of annotations at dislocated geographical sites. We present design, characteristic "look and feel", functionality, and development of Semia annotating tool.

Ambulatory Care Information Systems↗

PubMed2006

A computer-aided ECG diagnostic tool.

Jordan lacks companies that provide local medical facilities with products that are of help in daily performed medical procedures. Because of this, the country imports most of these expensive products. Consequently, a local interest in producing such products has emerged and resulted in serious research efforts in this area. The main goal of this paper is to provide local (the north of Jordan) clinics with a computer-aided electrocardiogram (ECG) diagnostic tool in an attempt to reduce time and work demands for busy physicians especially in areas where only one general medicine doctor is employed and a bulk of cases are to be diagnosed. The tool was designed to help in detecting heart defects such as arrhythmias and heart blocks using ECG signal analysis depending on the time-domain representation, the frequency-domain spectrum, and the relationship between them. The application studied here represents a state of the art ECG diagnostic tool that was designed, implemented, and tested in Jordan to serve wide spectrum of population who are from poor families. The results of applying the tool on randomly selected representative sample showed about 99% matching with those results obtained at specialized medical facilities. Costs, ease of interface, and accuracy indicated the usefulness of the tool and its use as an assisting diagnostic tool.

Arrhythmias, Cardiac↗

PubMed2025

Calibration of additional computational tools expands ClinGen recommendation options for variant classification with PP3/BP4 criteria.

PURPOSE: We previously developed an approach to calibrate computational tools for clinical variant classification, updating recommendations for the reliable use of variant impact predictors to provide evidence strength up to Strong. A new generation of tools using distinctive approaches has since been released, and these methods must be independently calibrated for clinical application. METHODS: Using our local posterior probability-based calibration and our established data set of ClinVar pathogenic and benign variants, we determined the strength of evidence provided by 3 new tools (AlphaMissense, ESM1b, and VARITY) and calibrated scores meeting each evidence strength. RESULTS: All 3 tools reached the Strong level of evidence for variant pathogenicity and Moderate for benignity, although sometimes for few variants. Compared with previously recommended tools, these yielded at best only modest improvements in the trade-offs between evidence strength and false-positive predictions. CONCLUSION: At calibrated thresholds, 3 new computational predictors provided evidence for variant pathogenicity at similar strength to the 4 previously recommended predictors (and comparable with functional assays for some variants). This calibration broadens the scope of computational tools for application in clinical variant classification. Their new approaches offer promise for future advancement of the field.

Humans↗

PubMed2005

Relationship of validated psychometric tools to subsequent medical utilization for asthma.

BACKGROUND: Risk stratification is used to identify patients with asthma at increased risk of experiencing morbidity and resource utilization. Validated psychometric tools are infrequently studied sources of data for this purpose. PURPOSE: To evaluate 4 types of validated psychometric tools as predictors for subsequent asthma utilization and determine their clinical usefulness. METHODS: Eleven hundred patients with active asthma from a Health Maintenance Organization completed surveys that included demographic information and validated psychometric tools measuring generic quality of life (physical and mental components), asthma-specific quality of life, asthma control, and asthma symptom severity. Survey records were linked to administrative data that captured emergency department and hospital care, short-acting beta-agonist, and oral corticosteroid utilization for the year of and the year following the survey. Relationships of survey variables with subsequent utilization were assessed, adjusting for both baseline demographic and asthma utilization factors. RESULTS: Scores of each psychometric tool were significantly related to subsequent utilization in univariate analyses and after adjusting for baseline utilization and demographic risk factors. Patients with higher scale-defined morbidity were as much as 4 times more likely to have subsequent utilization (sensitivity as high as 58%; specificity as high as 78%). Addition of an asthma-specific tool to either demographic or utilization prediction models added sensitivity (as much as 15%) but did not substantially improve the prediction properties of models containing both demographic and utilization predictors. CONCLUSION: Validated psychometric tools appear useful for asthma risk stratification in individuals and in populations in which both utilization and demographic predictors are not available.

Adolescent↗

PubMed2005

A systematic review finds that diagnostic reviews fail to incorporate quality despite available tools.

BACKGROUND AND OBJECTIVE: To review existing quality assessment tools for diagnostic accuracy studies and to examine to what extent quality was assessed and incorporated in diagnostic systematic reviews. METHODS: Electronic databases were searched for tools to assess the quality of studies of diagnostic accuracy or guides for conducting, reporting or interpreting such studies. The Database of Abstracts of Reviews of Effects (DARE; 1995-2001) was used to identify systematic reviews of diagnostic studies to examine the practice of quality assessment of primary studies. RESULTS: Ninety-one quality assessment tools were identified. Only two provided details of tool development, and only a small proportion provided any indication of the aspects of quality they aimed to assess. None of the tools had been systematically evaluated. We identified 114 systematic reviews, of which 58 (51%) had performed an explicit quality assessment and were further examined. The majority of reviews used more than one method of incorporating quality. CONCLUSION: Most tools to assess the quality of diagnostic accuracy studies do not start from a well-defined definition of quality. None has been systematically evaluated. The majority of existing systematic reviews fail to take differences in quality into account. Reviewers should consider quality as a possible source of heterogeneity.

Bias↗

PubMed2004

MMTSB Tool Set: enhanced sampling and multiscale modeling methods for applications in structural biology.

We describe the Multiscale Modeling Tools for Structural Biology (MMTSB) Tool Set (https://mmtsb.scripps.edu/software/mmtsbToolSet.html), which is a novel set of utilities and programming libraries that provide new enhanced sampling and multiscale modeling techniques for the simulation of proteins and nucleic acids. The tool set interfaces with the existing molecular modeling packages CHARMM and Amber for classical all-atom simulations, and with MONSSTER for lattice-based low-resolution conformational sampling. In addition, it adds new functionality for the integration and translation between both levels of detail. The replica exchange method is implemented to allow enhanced sampling of both the all-atom and low-resolution models. The tool set aims at applications in structural biology that involve protein or nucleic acid structure prediction, refinement, and/or extended conformational sampling. With structure prediction applications in mind, the tool set also implements a facility that allows the control and application of modeling tasks on a large set of conformations in what we have termed ensemble computing. Ensemble computing encompasses loosely coupled, parallel computation on high-end parallel computers, clustered computational grids and desktop grid environments. This paper describes the design and implementation of the MMTSB Tool Set and illustrates its utility with three typical examples--scoring of a set of predicted protein conformations in order to identify the most native-like structures, ab initio folding of peptides in implicit solvent with the replica exchange method, and the prediction of a missing fragment in a larger protein structure.

Computer Simulation↗

PubMed2026

Machine learning-based clinical tool for identifying factors associated with symptomatic knee osteoarthritis: the Nagahama study.

BACKGROUND: A clinical tool that evaluates factors associated with symptomatic knee osteoarthritis (OA) based on modifiable factors is lacking. This study aimed to develop a machine learning-based clinical assessment tool using modifiable factors to identify factors associated with symptomatic knee OA and to determine its accuracy. METHODS: This study included 429 participants (81.8% women; age, 69.0 ± 5.3 years) from the Nagahama Study who were ≥60 years old and had radiographically confirmed knee OA. A Knee Society Knee Scoring System 2011 symptom score of <23 points defined symptomatic knee OA. Participants were randomly assigned to training (70%) and test (30%) datasets. A machine learning model was developed using Extreme Gradient Boosting with 27 variables, and the SHapley Additive exPlanation (SHAP) values were used to assess feature importance. The top 8 features were translated into a 100-point clinical scoring tool weighted by their SHAP contributions. The cutoff value indicating symptomatic knee OA in the clinical assessment tool was determined using receiver operating characteristic analysis, and model performance was evaluated in both datasets. RESULTS: The clinical assessment tool consisted of low back pain, OA severity, depressive tendencies, knee flexion/extension range of motion, knee extension and hip abduction strength, and lower limb muscle quality. The model showed moderate discriminative performance (AUC 0.771 and 0.773 in the training and test datasets, respectively), with a cutoff point of 47. CONCLUSION: The proposed clinical assessment tool may provide a structured framework for assessing modifiable factors associated with symptomatic knee OA, reflecting their contribution to current symptom status.

Humans↗

PubMed2006

Extension of corticocortical afferents into the anterior bank of the intraparietal sulcus by tool-use training in adult monkeys.

When humans use a tool, it becomes an extension of the hand physically and perceptually. Common introspection might occur in monkeys trained in tool-use, which should depend on brain operations that constantly update and automatically integrate information about the current intrinsic (somatosensory) and the extrinsic (visual) status of the body parts and the tools. The parietal cortex plays an important role in using tools. Intraparietal neurones of naïve monkeys mostly respond unimodally to somatosensory stimuli; however, after training these neurones become bimodally active and respond to visual stimuli. The response properties of these neurones change to code the body images modified by assimilation of the tool to the hand holding it. In this study, we compared the projection patterns between visually related areas and the intraparietal cortex in trained and naïve monkeys using tracer techniques. Light microscopy analyses revealed the emergence of novel projections from the higher visual centres in the vicinity of the temporo-parietal junction and the ventrolateral prefrontal areas to the intraparietal area in monkeys trained in tool-use, but not in naïve monkeys. Functionally active synapses of intracortical afferents arising from higher visual centres to the intraparietal cortex of the trained monkeys were confirmed by electron microscopy. These results provide the first concrete evidence for the induction of novel neural connections in the adult monkey cerebral cortex, which accompanies a process of demanding behaviour in these animals.

Afferent Pathways↗

PubMed2001

Measurement characteristics of 2 different self-monitoring tools used in a dietary intervention study.

OBJECTIVE: To examine the measurement characteristics of 2 self-monitoring tools, a food diary and fat scan, used in the dietary intervention of the Women's Health Trial: Feasibility in Minority Populations study. DESIGN: Comparison of fat intake reported on the self-monitoring tools to a criterion measure of fat intake, specifically the mean of a food frequency questionnaire and a 4-day food record. The main outcome measures were differences in fat grams and correlations between each of the self-monitoring tools and the criterion measure. SUBJECTS/SETTING: Six-month postrandomization data from 313 women aged 50 to 79 years who participated in the intervention group of the Women's Health Trial: Feasibility in Minority Populations study. RESULTS: Both self-monitoring tools underestimated fat intake compared to the criterion measure, the food diary by 9 g and the fat scan by 6 g. The self-monitoring instruments were better than chance at detecting a low-fat dietary pattern, however, and did not differ from each other in their ability to do so. APPLICATIONS/CONCLUSIONS: The self-monitoring tools were modestly precise as measures of fat intake, but neither was sufficiently accurate to be reliable as a sole assessment of dietary adherence. Dietetics professionals are encouraged to assess the measurement properties of self-monitoring tools to use them appropriately in supporting dietary changes.

Aged↗

PubMedDate not supplied

Development and testing of a clinical tool measuring self-management of heart failure.

BACKGROUND: Self-management is a primary goal of treatment for heart failure. Yet no measure of self-management in this patient group currently exists. OBJECTIVES: To develop a clinically useful measure of the abilities of patients with heart failure to manage their disease. Self-management in this context was defined as a cognitive decision-making process undertaken in response to signs and symptoms of heart failure. A panel of experts agreed that the process involved 4 distinct stages: recognizing a change, evaluating the change, implementing a treatment strategy, and evaluating the treatment. The tool was developed to reflect this process. METHODS: Face validity of the process model was assessed in a sample of 25 patients with heart failure and used to develop a 65-item tool with 6 subscales. The subscales measure the 4 stages as well as the patients' ease in evaluating the signs and symptoms and their self-efficacy. The tool was pilot tested with 2 samples of patients with heart failure (N = 17; N = 129). Psychometrics of the final tool were then tested in a sample of 127 patients with heart failure. RESULTS: Face and content validity of the tool were demonstrated adequately through this study. Internal consistency scores of the 6 subscales of the Self-Management of Heart Failure instrument ranged from 0.79 (ease of evaluating treatment) to 0.92 (evaluating the change). Reliability could not be calculated for 1 subscale (evaluating the treatment) because of missing data that resulted from patients skipping sections because they had not experienced a symptom. CONCLUSION: Clinicians interested in evaluating the self-management abilities of their patients with heart failure are encouraged to use this tool and to contribute to additional testing.

Aged↗

PubMed2004

A new tool to assess and document pain outcomes in chronic pain patients receiving opioid therapy.

BACKGROUND: Opioid analgesics are the cornerstone of management for malignant pain. Their use in managing chronic, nonmalignant pain, albeit controversial, has increased in recent years. The decisions about whether to initiate opioid therapy or continue it over time should be guided by a comprehensive patient assessment. During long-term treatment, this assessment should focus on a broad range of outcomes, each of which should be documented in the medical record. OBJECTIVE: The goal of this study was to develop an instrument, the Pain Assessment and Documentation Tool (PADT), to focus on key outcomes and provide a consistent way to document progress in pain management therapy over time. METHODS: Items that assess 4 domains (pain relief, patient functioning, adverse events, and drug-related behaviors) were generated with input from a MEDLINE literature search and experts in pain and addiction management. The original tool was field tested by clinicians who applied it to the assessment of patients receiving long-term opioid therapy for the management of chronic, nonmalignant pain. Data analysis and debriefing telephone interviews with a formalized set of questions were then used to rephrase, delete, and refine items to create the final tool. RESULTS: A 6-member expert panel contributed to the initial development of the PADT. Twenty-seven clinicians completed the preliminary version of PADT for 388 patients. The original 59-item tool was modified to create a 41-item tool. The revised PADT was formatted for use as a chart note designed to assist clinicians in assessing and documenting 4 main outcome domains during long-term opioid use. CONCLUSIONS: In this study, the PADT appeared to be a useful tool for clinicians to guide the evaluation of several important outcomes during opioid therapy and provide a simple means of documenting patient care.

Adult↗

PubMed1998

Portfolio: a prototype workstation for development and evaluation of tools for analysis and management of digital portal images.

PURPOSE: The purpose of this investigation was to design and implement a prototype physician workstation, called PortFolio, as a platform for developing and evaluating, by means of controlled observer studies, user interfaces and interactive tools for analyzing and managing digital portal images. The first observer study was designed to measure physician acceptance of workstation technology, as an alternative to a view box, for inspection and analysis of portal images for detection of treatment setup errors. METHODS AND MATERIALS: The observer study was conducted in a controlled experimental setting to evaluate physician acceptance of the prototype workstation technology exemplified by PortFolio. PortFolio incorporates a windows user interface, a compact kit of carefully selected image analysis tools, and an object-oriented data base infrastructure. The kit evaluated in the observer study included tools for contrast enhancement, registration, and multimodal image visualization. Acceptance was measured in the context of performing portal image analysis in a structured protocol designed to simulate clinical practice. The acceptability and usage patterns were measured from semistructured questionnaires and logs of user interactions. RESULTS: Radiation oncologists, the subjects for this study, perceived the tools in PortFolio to be acceptable clinical aids. Concerns were expressed regarding user efficiency, particularly with respect to the image registration tools. CONCLUSIONS: The results of our observer study indicate that workstation technology is acceptable to radiation oncologists as an alternative to a view box for clinical detection of setup errors from digital portal images. Improvements in implementation, including more tools and a greater degree of automation in the image analysis tasks, are needed to make PortFolio more clinically practical.

Algorithms↗

PubMed1995

Minimal femoral cortical thickness necessary to prevent perforation by ultrasonic tools in joint revision surgery.

Ultrasonic tools are effective in removing cement in revision surgery and almost eliminate perforation of the femoral shaft, a dangerous complication associated with cement removal using drills, chisels, osteotomes, and other tools. Clinically, the ultrasonic tool used to remove cement could not be passed through a relatively normal femoral cortex; however, a perforation occurred in a patient with a femoral cortex less than 1 mm thick. The purpose of this study was to determine how thin the femoral cortex can be and yet allow the safe use of ultrasonic tools to remove cement without the risk of perforation. A cement mantle was constructed in the intramedullary canal of human cadaver femurs. Each specimen was mounted on a jig, which was then fastened to a Materials Testing System (Minneapolis, MN). The average load generated across the cortex by the ultrasonic tools while removing cement was measured. Loads of varying magnitudes were then applied by the ultrasonic tools to femoral cortices of varying thickness. When the cortex measured 3 mm thick, perforation did not occur. When the cortex measured 2 mm, perforation was possible but required loads three to six times greater than those normally used to remove cement.

Bone Cements↗

PubMed1996

Force Parameters for On-line Tool Wear Estimation: A Neural Network Approach.

Reliable on-line tool conditioning monitoring is an essential feature of modern sophisticated and automated machine tools. Appropriate and timely decision for tool-change is urgently required in the machining systems. Ample researches have been carried out in this direction.Recently artificial neural networks (NN) are applied for this purpose in conjunction with suitable sensory systems. Its fast processing capability is well-suited for quick estimation of tool condition and corrective measure to be taken.The present work uses back-propagation type training and feed-forward testing procedures for the neural networks. Three models using different force parameters are tried to monitor tool wear on-line. The close estimation of the modeled output to the actual wear value demonstrates the possibility of successful tool wear monitoring. Copyright 1996 Elsevier Science Ltd.

Journal Article↗