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Using the Baldrige management system framework in health care: the Veterans Health Administration experience.

BACKGROUND: In 1998 the Veterans Health Administration (VHA) developed the Quality Achievement Recognition Grant, a competitive grant application open to all Veterans Integrated Service Networks (VISNs) within the VHA system and based on the Baldrige management framework. Eight of the 22 VISNs attended the educational programs and initiated the grant application process; 7 completed applications. Team award experts from VHA and external sources reviewed, scored, and wrote feedback reports to all applicants and conducted four site visits. IDENTIFICATION OF BEST PRACTICES AND RECOMMENDATIONS FOR FUTURE APPLICANTS: Each application was compared to examples of ideal applications to identify areas of excellence and areas for improvement. In general, the best applicants identified and described key processes and articulated the methods used to evaluate and improve processes. For example, they were able to identify the process used to incorporate key constituents into the strategy development process. One applicant developed a series of management advisory committees, the membership of which includes veterans' service organizations, academic affiliates, community members, and congressional delegates, which were tapped to develop a strategic plan. Leading applicants in the future are likely to be able to demonstrate evidence of deployment and constant review of the strategy and to emphasize the human resources plan into the strategic planning and deployment. CONCLUSIONS: The Baldrige management framework is a useful tool for identification of areas of achievement and areas for improvement within the VHA. Potential applicants for the award could benefit from ensuring coherence across the application, placing a greater emphasis on work systems, and incorporating more extensive analysis of market conditions.

Awards and Prizes↗

Development and Validation of a Clinical Polygenic Risk Report in U.S.-Based Health Systems for 8 Cardiovascular Conditions.

BACKGROUND: Polygenic risk scores (PRS) stratify inherited cardiovascular risk, but their path to clinical implementation remains unclear. OBJECTIVES: We aimed to develop and validate integrated PRS for 8 cardiovascular conditions and outline a framework for their clinical reporting. METHODS: We analyzed genotype and clinical data from 245,394 All of Us Research Program participants. Publicly available PRS for 8 traits-coronary artery disease, atrial fibrillation, type 2 diabetes, venous thromboembolism (VTE), thoracic aortic aneurysm (TAA), extreme hypertension, severe hypercholesterolemia, and elevated lipoprotein(a)-were combined using PRSmix, an elastic-net approach. Integrated PRS were externally validated in 53,306 Mass General Brigham Biobank participants using logistic regression, adjusting for age, sex, and ancestry. RESULTS: Of 53,306 genotyped Mass General Brigham Biobank participants (55.6% women, mean age 53 ± 17 years), integrated PRS demonstrated robust discrimination and appropriate calibration across 8 cardiovascular traits. Comparing high genetic risk (top 10% of PRS distribution, or top 20% for rarer TAA and VTE) vs average risk (26th-75th percentiles, or 21st-80th percentiles for TAA and VTE) yielded ORs: coronary artery disease (3.7 [95% CI: 3.4-4.1]), type 2 diabetes (3.1 [95% CI: 2.8-3.3]), atrial fibrillation (3.0 [95% CI: 2.7-3.3]), VTE (1.9 [95% CI: 1.6-2.0]), TAA (1.7 [95% CI: 1.5-1.9]), hypertension (2.1 [95% CI: 1.8-2.3]), hypercholesterolemia (4.1 [95% CI: 3.7-4.5]), and lipoprotein(a) (41.0 [95% CI: 27.0-62.2]). Incorporating integrated PRS into clinical models improved risk classification, while prospective analyses confirmed significant associations with incident cardiovascular outcomes. CONCLUSIONS: Integrated PRS offer an implementable framework for genetic risk reporting, and are now available as a clinically orderable test. Broader prospective validation studies are needed to further establish clinical utility.

Humans↗

A cognitive task analysis for dental hygiene.

To be an effective assessment tool, a simulation-based examination must be able to evoke and interpret observable evidence about targeted knowledge, strategies, and skills in a manner that is logical and defensible. Dental Interactive Simulations Corporation's first assessment effort is the development of a scoring algorithm for a simulation-based dental hygiene initial licensure examination. The first phase in developing a scoring system is the completion of a cognitive task analysis (CTA) of the dental hygiene domain. In the first step of the CTA, a specifications map was generated to provide a framework of the tasks and knowledge that are important to the practice of dental hygiene. Using this framework, broad classes of behaviors that would tend to distinguish along the dental hygiene expert-novice continuum were identified. Nine paper-based cases were then designed with the expectation that the solutions of expert, competent, and novice dental hygienists would differ. Interviews were conducted with thirty-one dental hygiene students/practitioners to capture solutions to the paper-based cases. Transcripts of the interviews were analyzed to identify performance features that distinguish among the interviewees on the basis of their expertise. These features were more detailed and empirically grounded than the originating broad classes and better serve to ground the design of a scoring system. The resulting performance features were collapsed into nine major categories: 1) gathering and using information, 2) formulating problems and investigating hypotheses, 3) communication and language, 4) scripting behavior, 5) ethics, 6) patient assessment, 7) treatment planning, 8) treatment, and 9) evaluation. The results of the CTA provide critical information for defining the necessary elements of a simulation-based dental hygiene examination.

Algorithms↗

Low-probability event-detection and separation via statistical wavelet thresholding: an application to psychophysiological denoising.

OBJECTIVES: The aim of this paper is to introduce and test a general, wavelet-based method for the automatic removal of noise and artefact from psychophysiological data. METHODS: Statistical wavelet thresholding (SWT) performs blind source separation by transforming data to the wavelet domain, and subsequent filtering of wavelet coefficients based on a statistical framework. The observed wavelet coefficients are modelled using a Gaussian distribution, from which low-probability outliers are attenuated based on their z-scores. RESULTS: The technique was applied to both simulated and real event-related potentials (ERP) data. SWT applied to artificial data displayed increased signal-to-noise ratio (SNR) improvements as noise amplitude increased. ERP averages of filtered experimental data displayed a correlation of 0.93 with operator-filtered data, compared with a correlation of 0.56 for unfiltered data. The energy of operator-designated contaminated trials was attenuated by a factor of 7.46 relative to uncontaminated trials. SNR improvement was observed in simulated tests. CONCLUSIONS: Variations of SWT may be useful in situations where one wishes to separate uncommon/uncharacteristic structures from time series data sets. For artefact removal applications, SWT appears to be a valid alternative to expert operator screening.

Artifacts↗

Type A behavior, nonverbal expressive style, and health.

Understanding the precise nature of the links among styles of behavior, emotional expression, and the development of heart disease is a major challenge in psychology and health. In the present research, 60 men at high risk for coronary heart disease were examined in terms of their expressive style, their specific nonverbal cues, their personality, and their health. As assessed by the self-report Jenkins Activity Survey (JAS; Jenkins, Zyzanski, & Rosenman, 1979), half the men were Type A and half were Type B. To provide a more refined grouping, the men were further classified on the basis of scores on the Affective Communication Test (ACT; H. S. Friedman, Prince, Riggio, & DiMatteo, 1980), a self-report measure of nonverbal expressiveness. In the framework of theory and research on nonverbal expressive style, videotapes of the men were extensively rated and coded in terms of their judged appearance, the actual audio and video nonverbal cues emitted, and the words said (transcript). Two groups of Type A individuals were found--one that was repressed, tense, and illness-prone, but another that was healthy, talkative, in control, and charismatic. Furthermore, in addition to the expected healthy Type B men, a subgroup of Type B men was found who were submissive, repressed, tense, have an external locus of control, and may be illness-prone. A refined conception of the Type A behavior pattern is deemed necessary in light of these findings. Implications for improving the validity of the Type A construct and understanding the link between psychosocial factors and disease are discussed.

Adult↗

Clinical evaluation of language functions (CELF) diagnostic battery: an analysis and critique.

To summarize, the main strengths of the CELF are the clarity with which the manual describes the subtests and the instructions provided for test administration. Major concerns center on the absence of a theoretical framework as a basis for the selection of language skills assessed, the use of only "normal" children in the standardization sample, the lack of scoring criteria for one subtest, the seemingly incorrect weighting system for another, and minimal evidence of test reliability and validity.

Adolescent↗

Evaluation of likelihood ratios for complex genetic models.

Although methods for computing likelihoods for simple genetic models on large and complex pedigrees have been known for some time, and although methods for evaluating likelihoods for complex genetic models on small pedigrees have likewise been well known, likelihood evaluation for complex models given data on extended pedigrees has remained an intractable problem. The Gibbs sampler provides a method of Monte Carlo evaluation of likelihood ratios for complex models on extended and/or complex pedigrees. With increasing computer speeds, this approach provides a tractable and efficient approach to many such likelihood evaluation problems in linkage and segregation analysis. In this paper, however, the authors restrict attention to two basic building-blocks of the overall process. The first is the sequential computation of Gaussian likelihoods for multiple random-effects models on extended pedigrees. The second is the use of this in the Monte Carlo evaluation of likelihoods for the classical mixed model of segregation analysis. The implementation of the Gibbs sampler on pedigrees that permits this Monte Carlo evaluation is detailed. An example is then presented, and finally, in the context of this same example, it is also shown how linkage analysis for a quantitative trait falls within this same framework.

Female↗

Predictive evolutionary genomics: principles, validation, and practice.

Climate change and habitat loss are driving rapid evolutionary responses in populations world-wide, which creates an urgent need for evolutionary forecasting in conservation and agriculture. Such forecasting can be categorized into three time scales: trait-based models that use multivariate quantitative genetic equations to project correlated phenotypic responses up to c. 20 generations, allele-based analyses that model allele frequency dynamics up to 100 generations, and composite adaptation scores that aggregate many small effects to yield predictions across longer horizons. However, these approaches have remained largely disconnected. Here, we present a Bayesian framework that integrates these three complementary approaches for evolutionary prediction. Our framework combines genomic, phenotypic, and environmental data to yield probabilistic predictions with explicit uncertainty. We show how predictive evolutionary forecasts can be validated with experimental evolution, field experimentation, historical specimens, and reciprocal transplants. These validated forecasts can help advance conservation and agricultural programmes by helping predict which populations are at risk of future extinction, optimizing breeding programmes for future climates, and planning ecosystem management under environmental change. By supporting a shift towards more predictive approaches in evolutionary biology, this framework may help improve our ability to manage biodiversity and food security in a changing world.

Genomics↗

Sibling adaptation to childhood cancer collaborative study: prevalence of sibling distress and definition of adaptation levels.

A multisite collaborative study assessed the frequency and intensity of emotional/behavioral distress in siblings of children with cancer. A sample of 254 siblings, aged 4 to 18 years, and their parents completed interviews and self-report measures 6 to 42 (average 22.5) months after diagnosis of cancer in a brother or sister. Matched controls were obtained from respondents to the Child Health Supplement of the National Health Interview Survey administered in 1988 (CHS88). Before diagnosis, the prevalence of parent-reported emotional/behavioral problems among siblings was similar to that in the general population (7.7% vs 6.3%; p = not significant). After diagnosis, prevalence rose to 18% among siblings. When siblings were grouped according to the presence or absence of problems exacerbated by and/or arising after diagnosis, four levels of adaptation, consistent with scores on the Behavior Problem Scales from the CHS88, emerged. This differentiation may help explain inconsistencies in sibling response reported previously and provides a framework for investigating factors that enhance adaptation.

Adaptation, Psychological↗

[Familiarity, favorability, and cognitive complexity: integration of frequency of interaction hypothesis and vigilance hypothesis].

Previous studies using Bieri's 'cognitive complexity' score had supported 'vigilance hypothesis' which assumed that impressions of unfavorable persons were more complex than favorable persons. Thus, Bieri's measure seemed to be invalid because the findings were completely contrary to 'frequency of interaction hypothesis', presented in the theoretical framework of 'cognitive complexity', which assumed that impressions of familiar persons were more complex than unfamiliar persons, since people could be supposed to have more intimate acquaintance with favorable persons. The purpose of present study was to indicate the invalidity was caused by the research design where familiarity was dependent on favorability and to show that even Bieri's score could support 'interaction hypothesis', if one variables could be statistically orthogonized to the other. In each of two surveys reported, about two hundred female undergraduates completed a Rep test where they rated favorable and unfavorable persons on the basis of some dimensions which included favorability and familiarity. The results obtained through various regression analyses supported the above predictions. Moreover, it was revealed that, with favorability controlled, Bieri's score showed almost linear increases as familiarity increased, though the score of extremely unfamiliar persons was rather higher than the score the linear function could predict.

Adult↗

Setting handicap goals with elderly people: a pilot study of the Life Strengths Interview.

OBJECTIVE: To assess whether the Life Strengths Interview (LSI) is a useful clinical framework to identify handicap goals. DESIGN: Clinical case studies. SETTINGS: Two elderly care rehabilitation hospitals. SUBJECTS: Five people, whose ages ranged from 73 to 90 years. All participants were aware of their likely resultant disability, scored 25+ out of a possible 30 with the Mini-Mental State Examination, were able to communicate effectively and were due to be discharged home in approximately one month. INTERVENTIONS: Each participant undertook the LSI process with the research occupational therapist. MAIN OUTCOME MEASURES: Identified rehabilitation goals and their achievement. RESULTS: Goals were focused around families and other support networks. Six to eight weeks following discharge, achievement of goals varied. CONCLUSIONS: This pilot study suggests that the LSI may be a useful clinical framework but further research needs to investigate whether a modified clinical version may be more suitable.

Activities of Daily Living↗

Comparison of the combined monitoring-based and modelling-based priority setting scheme with partial order theory and random linear extensions for ranking of chemical substances.

The combined monitoring-based and modelling-based priority setting scheme (COMMPS) used to establish a priority setting list within the EU Water Framework Directive plays a major role in the European environmental policy on chemical substances. The COMMPS procedure can be classified as a so-called scoring method. The applied functional relationship and weight factors are established based on expert judgement, which unfortunately appears to be vulnerable to subjective inputs. In this study an alternative priority setting methods based on partial order theory (POT) and random linear extensions (RLE) is suggested and compared to the COMMPS procedure. The POT/RLE is characterised as being based on fewer assumptions concerning functional relationships and does not apply weighting factors. Using the POT/RLE methodology a different ranking result occur than when using the COMMPS procedure. Eight of the top 20 substances from the COMMPS procedure are not ranked within the top 20 when using POT/RLE. From the viewpoint of environmental protection, especially the substances that have been given low priority in the COMMPS procedure, but a high rank in POT/RLE, are of interest in a regulatory context. These substances are naphthalene, trichloromethane, isoproturon, metolachlor, endosulfan, acenaphthene, alachlor and dichloromethane. An analysis of the ability of the descriptors to separate the single substance discloses that the most significant descriptor is the concentrations detected in the environment. Further, the frequency of detection is not applied as a descriptor in the COMMPS procedure. However, if this descriptor was to be applied the analysis revealed that it would have been the third most significant descriptor.

Algorithms↗

Development and clinical implementation of an enhanced display algorithm for use in networked electronic portal imaging.

PURPOSE: To introduce and clinically validate a preprocessing algorithm that allows clinical images from an electronic portal imaging device (EPID) to be displayed on any computer monitor, without loss of clinical usability. The introduction of such a system frees EPI systems from the constraints of fixed viewing workstations and increases mobility of the images in a department. METHODS AND MATERIALS: The preprocessing algorithm, together with its variable parameters is introduced. Clinically, the algorithm is tested using an observer study of 316 EPID images of the pelvic region in the framework of treatment of carcinoma of the cervix and endometrium. Both anterior-posterior (AP/PA) and latero-lateral (LAT) images were used. The images scored were taken from six different patients, five of whom were obese, female, and postmenopausal. The result is tentatively compared with results from other groups. The scoring system, based on the number of visible landmarks in the port, is proposed and validated. Validation was performed by having the observer panel score images with artificially induced noise levels. A comparative study was undertaken with a standard automatic window and leveling display technique. Finally, some case studies using different image sites and EPI detectors are presented. RESULTS: The image quality for all images in this study was deemed to be clinically useful (mean score >1). Most of the images received a score which was second highest (AP/PA landmarks > or =6 and LAT landmarks > or =5). Obesity, which has been an important factor determining the image quality, was not seen to be a factor here. Compared to standard techniques a highly significant improvement was determined with regard to clinical usefulness. The algorithm performs fast (less than 9 seconds) and needs no additional user interaction in most of the cases. The algorithm works well on both direct detection portal imagers and camera-based imagers whether analog or digital cameras. CONCLUSIONS: We have demonstrated that it is possible to preprocess EPIs in such a way that the clinically relevant landmarks are easily detected on a generic computer screen. The algorithm is system-independent and fast. This allows for the encoding of EPIs in more generalized commercial formats so that distribution of images is facilitated.

Algorithms↗

Rehabilitation following hip fracture surgery: a comparative study of females and males.

PURPOSE: To compare patient, fracture and rehabilitation variables between male and female patients during the rehabilitation period immediately following surgical repair of hip fracture (HF). METHODS: A prospective cohort study was conducted in a rehabilitation geriatric ward in a tertiary university hospital in southern Israel. The study group consisted of 808 elderly patients, 65 years of age or older, selected for hospitalized rehabilitation following surgery for HF. The measurements included functional studies by the Functional Independence Measure (FIM) scale, mental status by Folstein Minimental Test and Clock Drawing Test, Geriatric Depression Screening Scale (GDS), demographic and social parameters, laboratory tests, length of rehabilitation, complications and mortality during rehabilitation. RESULTS: Six hundred and fourteen patients (76%) were women and 194 (24%) were men. The mean age ( +/- SD) of the women was 78.4 +/- 7.1 years and of the men was 77.8 +/- 7.5 (NS). There were no significant differences between women and men in terms of the anatomic site of the fracture or the type of surgery, the complication rate or mortality during rehabilitation, the length of time needed for rehabilitation, the framework to which the patient was discharged, FIM values before the HF, on admission and at the end of rehabilitation, or the difference between FIM scores at these last two points in time. CONCLUSIONS: In selected elderly patients with HF gender does not affect variables associated with hip fracture, the rehabilitation process immediately following the fracture, or the results of rehabilitation.

Aged↗

MO-GCAN: multi-omics integration based on graph convolutional and attention networks.

MOTIVATION: Cancer subtypes play a critical role in disease progression, prognosis, and treatment, making their detection essential for tailoring precision medicine. Studies have shown that multi-omics integration outperforms single-omics approaches in cancer subtyping tasks. However, due to the high-dimensionality of multi-omics data, many existing studies either fail to capture the correlation between true labels and learned features, or lack sufficient capacity to model complex biological representations. These limitations hinder the full potential of leveraging the rich and complementary information embedded in multi-omics datasets. RESULT: We propose a framework that leverages supervised feature learning and classification based on a graph-based learning approach with attention mechanism for cancer subtyping. More specifically, we train graph convolutional network models on each omics dataset to extract latent representations, which are then concatenated to form a comprehensive multi-omics feature embedding. We further develop sample fusion network based on the omics-specific graphs, incorporating the derived features and feeding them into a graph attention model for subtype classification. This two-stage multi-omics framework is applied to eight cancer types, with performance evaluated in terms of test accuracy, training time, macro-averaged precision, recall, and F-score. Experimental results show that the proposed method outperforms state-of-the-art approaches across various cancer types. Additionally, we provide empirical evidence supporting the hypothesis that retaining a limited number of high-confidence edges and utilizing enriched embeddings from intermediate graph neural network layers can improve predictive performance. AVAILABILITY AND IMPLEMENTATION: Data and the code are available at https://github.com/YD-00/MO-GCAN-Updated.git.

Neoplasms↗

[Transcultural validation of a measurement scale].

This monography presents the validation study results of a new scale to measure family needs: The Family Needs Inventory (IBF) (Chartier and Coutu-Wakulczyk, 1988). The scale is available in both French and English from the Departement des sciences infirmières of the Université de Sherbrooke. Based on a perceptual framework, the IBF is a self-report scale composed of 33 items. It offers three different subscores of the importance of needs: the global score of needs, the intensity need index and the total number of needs. The IBF was validated on a sample of 400 subjects. These subjects were drawn from the adult population of immediate family members visiting a patient in surgical or medical intensive care units in three different geographical regions, in Québec, northeast Ontario and France. The reliability yielded a 0.90 Cronback Alpha coefficient and the homogeneity coefficient for Spearman-Brown and Guttman procedures were 0.88 respectively. The principal component factor analysis and factorial matrices lead to examine the conceptual structure of five independent factors.

Cross-Cultural Comparison↗

"Healthy Dubec" -design of a joint Czech-American community project for the reduction of cardiovascular and cerebrovascular disease (adapted from American experience).

The project is a combination of individual and community-based intervention which adapted and modified methods and techniques originally used in The Three-City Community Study and The Stanford Five-City Project in a small community outside Prague. The goal is to reduce cardiovascular and cerebrovascular risk factors by primary and secondary prevention, using a community-based approach. 61.5% of examined population with the low risk score during the baseline survey was exposed to intervention by community-based methods. 38.5% of adult population was included in intervention activities within the framework of secondary prevention in high risk groups. There are described: the method of community oriented intervention and the intervention oriented on high risk groups - nutrition intervention, quit smoking activities, stress control, physical activity promotion.

Adolescent↗

Prostate Cancer, Genetic Susceptibility, and Risk of Chronic Non-Urological Complications.

BACKGROUND: Chronic nonurological complications are common among prostate cancer (PCa) survivors; however, their spectrum, magnitude, and genetic contribution remain poorly characterized. METHODS: We evaluated 15 commonly reported nonurological complications and tested their associations with exposure to PCa and disease-specific polygenic risk scores (PRS) in the UK Biobank (UKB; N&#x2009;=&#x2009;219,133). Analyses were conducted using cause-specific Cox proportional-hazards models within a full-cohort framework with time-updated PCa status, delayed entry at study recruitment, and age as the underlying time scale. RESULTS: After recruitment, incident PCa was diagnosed in 13,780 men, of which 1,656 (12.02%) had metastatic PCa (mPCa). Risks for seven complications were higher among men with PCa, adjusting for genetic background (all p&#x2009;<&#x2009;0.05), including osteoporosis, venous thromboembolism, depression, and four primary cancers (bladder, kidney, colorectal, and pancreatic). Risks were consistently stronger among men exposed to mPCa than non-mPCa; for example, the hazard ratio (HR) (95% confidence interval) for osteoporosis was 1.88 (1.63-2.18) for any PCa, 4.67 (3.11-7.01) for mPCa, and 1.75 (1.50-2.04) for non-mPCa. Elevated risks for three additional complications (coronary artery disease, type 2 diabetes and chronic obstructive pulmonary disease) were observed only among men with mPCa. The risks for these ten complications were further increased among men with higher disease-specific PRS; for example, the HR for osteoperosis in mPCa patients in the top PRS quartile was 13.57 (8.24-22.34) compared with men without PCa (p&#x2009;<&#x2009;0.001). CONCLUSION: PCa diagnosis and inherited genetic susceptibility jointly contribute to increased risks of multiple chronic non-urological complications among survivors.

Humans↗