PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Performance benchmarking”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,549 records · Page 86Linked to original sources

[Learning curve--calculation and value in laparoscopic surgery].

The learning curve shows the progress in mastering a new method. It is completed when the monitored parameters reach a steady state and when the final results can be compared with literature. The earlier used analysis of the performance-improvement with its "on the spots" appraisals at certain time-intervals is replaced by a continuous assessment. The multimode learning curve is particularly useful for it, because not only one parameter (f.e. operation-time), but also several important factors can be put together into one single graphic. For the operation-time, the Moving Average Method is useful. For incidents, which may happen or not like a conversion from laparoscopy to laparotomy as well as complications, the Cusum-method is of practical use. The learning curves of the technique of laparoscopic cholecystectomy, colo-rectal surgery, fundoplicatio and hernia surgery have been completed. Also, the learning curve of the industry is well advanced. Reliable data for the learning curves of individual surgeons for certain operations cannot be given, as, only now, young doctors are being trained on a large scale in laparoscopic technique as used to be the case in the open abdominal surgery. This will influence greatly the learning curves and will shorten the time till their completion. Different bias concerning the individual surgeons and their clinics prohibit the production of comparable curves. Several factors like the patient respectively his abdomen are complicating all this. That's why the learning curves cannot be used as benchmarks to compare different surgeons or clinics, as long as no valid scoring system concerning the complexity of a surgical intervention exists. Learning curves which become quality curves after reaching a steady state, can be used for the individual monitoring of a surgeon's performance and serve as a quality measurement of a clinic. The learning curves of the laparoscopic cholecystectomy, fundoplicatio, colo-rectal surgery and hernia surgery are discussed in particular The mandatory number of operations needed to learn a new method cannot yet be established today, even if all the existing data are consulted. Therefore, the learning curve is a useful instrument to monitor the individual progress and the results of a clinic in the meaning of an individual quality-management. After completion of the learning curve, a quality curve using the same parameters will be given, which shows the deviations of its own standard.

Cholecystectomy, Laparoscopic↗

Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations.

A study of the performance of five commercial radiotherapy treatment planning systems (TPSs) for common treatment sites regarding their ability to model heterogeneities and scattered photons has been performed. The comparison was based on CT information for prostate, head and neck, breast and lung cancer cases. The TPSs were installed locally at different institutions and commissioned for clinical use based on local procedures. For the evaluation, beam qualities as identical as possible were used: low energy (6 MV) and high energy (15 or 18 MV) x-rays. All relevant anatomical structures were outlined and simple treatment plans were set up. Images, structures and plans were exported, anonymized and distributed to the participating institutions using the DICOM protocol. The plans were then re-calculated locally and exported back for evaluation. The TPSs cover dose calculation techniques from correction-based equivalent path length algorithms to model-based algorithms. These were divided into two groups based on how changes in electron transport are accounted for ((a) not considered and (b) considered). Increasing the complexity from the relatively homogeneous pelvic region to the very inhomogeneous lung region resulted in less accurate dose distributions. Improvements in the calculated dose have been shown when models consider volume scatter and changes in electron transport, especially when the extension of the irradiated volume was limited and when low densities were present in or adjacent to the fields. A Monte Carlo calculated algorithm input data set and a benchmark set for a virtual linear accelerator have been produced which have facilitated the analysis and interpretation of the results. The more sophisticated models in the type b group exhibit changes in both absorbed dose and its distribution which are congruent with the simulations performed by Monte Carlo-based virtual accelerator.

Algorithms↗

Evaluation of fixed sample-size plans for Plutella xylostella (Lepidoptera: Plutellidae) on broccoli crops in Australia.

Fixed sample-size plans for monitoring Plutella xylostella (L.) (Lepidoptera: Plutellidae) on broccoli and other Brassica vegetable crops are popular in Australia for their simplicity and ease of application. But the sample sizes used are often small, approximately 10-25 plants per crop, and it may be that they fail to provide sufficient information upon which to base pest control decisions. We tested the performance of seven fixed sample-size plans (10, 15, 20, 30, 35, 40, and 45 plants) by resampling a large data set on P. xylostella in commercial broccoli crops. For each sample size, enumerative and presence-absence plans were assessed. The precision of the plans was assessed in terms of the ratio of the standard error to the mean; and at least 45 and 35 samples were necessary for the enumerative and presence-absence plans, respectively, to attain the generally accepted benchmark of < or = 0.3. Sample sizes of 10-20 were highly imprecise. We also assessed the consequences of classifications based on action thresholds (ATs) of 0.2 and 0.8 larvae per plant for the enumerative case, and 0.15 and 0.45 proportion of plants of infested for the presence-absence case. Operating characteristic curves and investigations of the frequency of correct decisions suggest improvements in the performance of plans with increased sample size. In both the enumerative and presence-absence cases, the proportion of incorrect decisions was much higher for the lower of the two ATs assessed, and type II errors (i.e., failure to suggest pest control upon the AT is exceeded) generally accounted for the majority of this error. Type II errors are the most significant from a producer's standpoint. Further consideration is necessary to determine what is an acceptable type II error rate.

Animals↗

Rate, risk factors and outcomes of catheter-related bloodstream infection in a paediatric intensive care unit in Saudi Arabia.

The aim of this study was to determine the rate, risk factors and outcomes of catheter-related bloodstream infections (CRBSIs) in patients in a paediatric intensive care unit (PICU). A prospective cohort study was performed in King Abdulaziz Medical City, Riyadh, Saudi Arabia; a 650-bed academic/tertiary care centre with a combined 10-bed medical and surgical PICU. All patients admitted to the PICU from July 2000 to February 2003 who had a central line placed were monitored for the development of bloodstream infection (BSI) from insertion until 48 h after removal. Four hundred and forty-six patients with 2493 central-line-days were documented; 273 (55%) were male and the mean age was 2.6 years. Of the 446 patients, 278 (56%) had congenital heart disease, 108 (22%) had genetic disorders and/or congenital malformations, 55 (11%) had respiratory disease, and 42 (8%) had trauma. There were 50 episodes of CRBSI in 46 patients with a rate of 20.06 per 1,000 central-line-days and a device-utilization rate of 57%. Of these 50 episodes, 24 (48%) were polymicrobial, 16 (32%) were due to Gram-negative organisms, five (10%) were due to Gram-positive organisms, and five (10%) were fungal. The most common organisms isolated were Klebsiella pneumoniae (N=12, 16%), coagulase-negative staphylococci (N=10, 14%) and Pseudomonas aeruginosa (N=8, 11%). The mean duration of line insertion was 11.8 days for CRBSI patients and 4.22 days for non-BSI patients (P<0.0001). The mean PICU stay was 30.20 days for CRBSI patients and 6.35 days for non-BSI patients (P<0.0001). BSI occurred more often in catheters inserted in the PICU compared with the operating room, and in the femoral site compared with jugular or subclavian sites (P<0.001). In multiple logistic regression analysis of the risk factors, CRBSI patients were more likely to have multiple central lines [odds ratio (OR) 9.19; 95% confidence intervals (CI): 3.76-22.43), the line was more likely to be used for total parenteral nutrition (OR: 8.69; 95% CI: 3.5-21.4), and guidewire exchange was more likely to be performed on the line. CRBSI was not associated with a higher mortality rate. The CRBSI rate in our hospital is high compared with that reported by the National Nosocomial Infection Surveillance system. This study has established a benchmark for future comparisons. Additional studies from Saudi Arabia are necessary for national comparison and development of preventive measures.

Bacteremia↗

Calculation of absorbed energy in the gastrointestinal tract.

One goal of this research was to reproduce the photon specific absorbed fraction calculations of Cristy and Eckerman using their gastrointestinal (GI) tract model. A second goal was to calculate photon specific absorbed fraction values for their GI tract model using electron tracking techniques. A final goal was to calculate electron absorbed fraction values for their GI tract model. This paper summarizes the work performed using the currently accepted model of the GI tract provided by Cristy and Eckerman. Their model was coded into the Electron Gamma Shower 4 (EGS4) computational package for calculation of photon specific absorbed fraction values. To benchmark the initial code, the EGS4 program was run so that all secondary particles deposited their energy at the site of the primary photon interaction (i.e., without electron tracking). The results obtained from these preliminary calculations were compared to those provided by Cristy and Eckerman to verify and benchmark the program. Next, specific absorbed fraction values were calculated for twelve discrete photon energies using the electron tracking capabilities of EGS4. These photon specific absorbed fraction values were compared to those calculated without electron tracking. Finally, absorbed fraction values were calculated for twelve discrete electron energies. The electron absorbed fraction values were compared to those calculated without electron tracking. Finally, absorbed fraction values were calculated for twelve discrete electron energies. The electron absorbed fraction values were compared to the ICRP "one-half assumption" for electron energy deposition in the wall of the GI tract.

Digestive System↗

Computational engine for development of complex cascaded models of signal and noise in X-ray imaging systems.

The detective quantum efficiency (DQE) is generally accepted as the primary metric of signal-to-noise performance in medical X-ray imaging systems. Simple theoretical models of the Wiener noise power spectrum (NPS) and DQE can be developed using a cascaded-systems approach to assess particular system designs and establish operational benchmarks. However, the cascaded approach is often impractical for the development of comprehensive models due to the complexity and extremely large number of algebraic terms that must be manipulated to describe signal and noise transfer. We have developed a computational engine that overcomes this limitation. Using a predefined library of elementary physical processes, complex models are assembled and input-output relationships established using a graphical interface. A novel recursive algorithm is described that allows the signal and noise analyses of models with arbitrary complexity including the use of multiple parallel cascades. Symbolic mathematics is used to develop analytic expressions for the NPS and DQE. The algorithm is validated by manual calculation for simple models and by Monte Carlo calculation for complex models. We believe our approach enables the use of complex cascaded models to design better detectors with improved image quality.

Computer Simulation↗

An overview of beef cattle improvement programs in the United States.

A periodic review of beef improvement programs is useful as a benchmark and as an opportunity to reevaluate industry direction. The history of improvement programs is reviewed with particular emphasis on recording organizations, program financing, and technological progress. The various breed associations have become the primary suppliers of performance programs, which are largely funded through registration income. Current practices are described from the aspects of traits recorded and delivery systems to collect, analyze, and distribute the data. The unique or innovative features of several breed made of the organization, technical, and educational challenges facing beef improvement. Although increased participation in genetic improvement programs is expected, substantial efforts are needed to serve adequately the needs of a changing beef cattle industry.

Animals↗

EuCliD--a medical registry.

OBJECTIVES: The European Clinical Database EuCliD small star, filled has been developed as a tool for supervising selected quality indicators of about 200 European dialysis centers. Major efforts had to be made to comply with local and European laws regarding data security. METHOD: EuCliD is a Lotus Notes based flat-file database currently containing medical data of more than 14,000 dialysis patients from 10 European countries. Another 15,000 patients from 150 centers in 4 South-American countries will be added soon. Data are entered either manually or by means of interfaces to existing local data managing systems. This information is transferred to a central Lotus Notes Server. Data evaluation was performed with statistical tools like SPSS. RESULTS: EuCliD is used as a part of the CQI (Continuous Quality Improvement) management system of Fresenius Medical Care (FMC) dialysis units. Each participating dialysis center receives (currently every half year) benchmarking reports at a regular interval. The benchmark for all quality parameters is the weighted mean of the corresponding data of all centers. CONCLUSIONS: An obvious impact of data sampling and data evaluation on the quality of the treatments could be observed within the first one and a half years of working with EuCliD. This also concerns important outcome predictors like Kt/V and hemoglobin concentration as the outcome itself expressed in hospitalization days and survival rates. With the help of EuCliD the user is able to sample clinical data, identify problems, search for solutions with the aim of improving the dialysis treatment quality and guarantee a high-class treatment quality for all patients.

Benchmarking↗

What do you mean by "satisfactory"?

INTRODUCTION: One of the difficulties in designing assessment for medical trainees has been defining what is meant by "satisfactory". Whilst a list of "unsatisfactory" and "outstanding" characteristics can be identified with very little difficulty, it is the middle ground that holds the challenge. This is especially true in the non-technical areas of medical practice, which have been brought into greater prominence since the development and publication of CanMEDS 2000. As part of that process, questions about what is meant by "satisfactory", "standards" and/or benchmarks, have been brought into sharper focus. Additional questions are being asked as to whether competencies must necessarily be equated with minimum expectations or if they can be set, in conjunction with standards, to situate required "satisfactory" performance at a level significantly above a minimal level. MATERIALS AND METHODS: A search of current literature on competencies and assessment was carried out. RESULTS: From that analysis, it became evident that a definition of "satisfactory" in assessing competence is dependent upon the identification of underlying factors, including the kind of competence, the kind of knowledge, and the level of expertise required to match the standard of assessment. CONCLUSION: The varying definitions, expectations, and levels of "satisfactory" were mapped to illustrate a way to plot the level of "satisfactory" according to the task, the experience of the trainee, and the stage of training. This map also provides a method for developing shared understandings of the targeted level within the "satisfactory zone".

Clinical Competence↗

Evaluation of several respirometry-based activated sludge toxicity control strategies.

Four different strategies including influent storage and reintroduction, step-feeding, rapid sludge recycle and waste sludge storage were evaluated using the denitrification layout of the IWA simulation benchmark. The control objective was to minimise deterioration in effluent quality caused by a certain toxic input event. In these strategies the maximum specific respiration rate (Rmax) was selected as a measured and controlled variable. To simplify the analysis, the toxicant was assumed to be a soluble and nonbiodegradable substance. Two toxic influent files were developed with square-wave input lasting 3 hours. To detect the influent toxicity, a pseudo-online flow-through respirometer was applied. A number of simulations were performed and the results suggested that the influent storage and reintroduction strategy provided the most optimistic results and other strategies could not mitigate the toxic effect. The influent storage and reintroduction strategy strongly depended on reintroduction flow rate from the storage tank. The simulation according to reintroduction flow could estimate the time required for completely treating toxic wastewater stored in the storage tank. Also the IWA simulation benchmark was enhanced to evaluate toxicity effect on the activated sludge process.

Benchmarking↗

Modeling steric and electronic effects in 3D- and 4D-QSAR schemes: predicting benzoic pK(a) values and steroid CBG binding affinities.

We conducted a systematic study of the performance of the 3D- and 4D-QSAR schemes in modeling steric and electronic effects. In particular, we compared the CoMFA and Hopfinger's 4D-QSAR schemes, which apply completely different concepts for the generation of the molecular data used for modeling QSAR. Hence, we attempted to predict the pK(a) values of (o-, m-, and p-)benzoic acids which were divided into three subseries in order to simulate different levels of steric and electronic control. The steroids binding to CBG were used as a benchmark series where biological activity is limited by shape factors. Although individual models differ depending upon the individual scheme, generally, both CoMFA and 4D-QSAR appeared to provide comparable results, irrespective of the differences in the coding schemes used for the description. Moreover, a new 4D-QSAR scheme involving a self-organizing neural network was designed. Generally, the SOM scheme that we designed performs comparably to the grid scheme; however, it provides better results for the charge type descriptors, and the robust neuron architecture allows for the decrease of the influence of the molecular superimposition mode.

Journal Article↗

Development of an integrated stroke outcomes database within Veterans Health Administration.

A fundamental goal of the Rehabilitation Outcomes Research Center of Excellence is to improve care and outcomes for veterans with rehabilitation needs. To achieve this goal, the Center's primary objective is increasing research capacity. The Integrated Stroke Outcomes Database is a collection of Veterans Health Administration (VHA) clinical and administrative data containing patient information on a cohort of stroke patients found in the Functional Status Outcomes Database (FSOD), National Patient Care Database (NPCD), and other VHA sources. Clinical and administrative data were abstracted from several VHA data sources and linked to form an integrated outcomes database. A primary cohort of stroke patients treated during fiscal year (FY) 2001 was identified from the FSOD. Matching data from the NPCD, Decision Support System, Health Economics Resource Center, and the National Veterans Survey were obtained, merged, and reported in brief. This integrated database structure will provide valuable support to enhance the VHA capacity to perform stroke rehabilitation research.

Ambulatory Care↗

Thin client performance for remote 3-D image display.

Several trends in biomedical computing are converging in a way that will require new approaches to telehealth image display. Image viewing is becoming an "anytime, anywhere" activity. In addition, organizations are beginning to recognize that healthcare providers are highly mobile and optimal care requires providing information wherever the provider and patient are. Thin-client computing is one way to support image viewing this complex environment. However little is known about the behavior of thin client systems in supporting image transfer in modern heterogeneous networks. Our results show that using thin-clients can deliver acceptable performance over conditions commonly seen in wireless networks if newer protocols optimized for these conditions are used.

Benchmarking↗

Best practices: applying management analysis of excellence to immunization.

The authors applied business management tools to analyze and promote excellence and to evaluate differences between average and above-average immunization peformers in private practices. The authors conducted a pilot study of 10 private practices in Pennsylvania using tools common in management to assess practices' organizational climate and managerial style. Authoritative and coaching styles of physician leaders were common to both groups. Managerial styles that emphasized higher levels of clarity and responsibility managerial styles were evident in the large practices; and rewards and flexibility styles were higher in the small above-average practices. The findings of this pilot study match results seen in high performers in other industries. It concludes that the authoritative style appears to have the most impact on performance. It has interesting implications for training/behavior change to improve immunization rates, along with traditional medical interventions.

Benchmarking↗

Large-scale benchmarking of prokaryotic annotation tools across thousands of species.

BACKGROUND: Genome annotation is an important step in deriving functional meaning from prokaryotic sequencing data, yet systematic evaluations guiding tool selection are lacking. We present the first large-scale investigation of four prominent open-source annotation tools (Prokka, Bakta, EggNOG-mapper, and PGAP) across 156,033 diverse genomes. This includes Escherichia coli strains for baseline performance, thousands of archaea and bacteria genomes, as well as frameshifted and metagenome-assembled genomes. RESULTS: Bakta excels in annotating high-quality bacterial genomes, while PGAP was better for archaeal genomes and challenging bacterial assemblies, including metagenome-assembled, fragmented, or contaminated samples. For Gene Ontology annotation, PGAP consistently provides broader term coverage, whereas EggNOG-mapper offers more terms per feature. CONCLUSIONS: Our findings highlight tool-specific strengths crucial for selecting optimal solutions based on genome quality, taxonomy, and origin (e.g. MAGs). This study provides an evidence-based guide for users and informs future tool development.

Molecular Sequence Annotation↗

Real-time monitoring in managing the decontamination of flexible gastrointestinal endoscopes.

OBJECTIVES: To evaluate the efficacy of endoscope reprocessing using bacteriologic methods and adenosine triphosphate (ATP) bioluminescence and to evaluate the potential benefits of the latter in managing the process. SETTING: An endoscopy unit in each of 2 acute district general hospitals in the United Kingdom. METHODS: Following visual observation, 8 locations important in the decontamination of gastrointestinal (GI) endoscopes were monitored during reprocessing by bacteriologic sampling (paddle method) and ATP bioluminescence. RESULTS: Endoscope reprocessing was conducted in accordance with British Society of Gastroenterology guidelines. Bacteriologic tests required 24 hours for results to be obtained; ATP tests were completed within 2 minutes. Of the 504 sites tested throughout the decontamination process, bacterial growth was recorded on 32 occasions, 3 from the end product. Throughout the decontamination process, ATP tests obtained 95 results above benchmark values and 1 from the end product. CONCLUSIONS: The bacteriologic results after terminal disinfection indicated that the reprocessing was carried out effectively overall. ATP results prior to disinfection indicated that manual cleaning might not have always been performed adequately and that this could have impaired the disinfection process. ATP provided a rapid means of assessing the efficacy of cleaning steps prior to terminal disinfection.

Adenosine Triphosphate↗

Factors affecting patient enrollment in radiology clinical trials: a case study of the American College of Radiology Imaging Network.

RATIONALE AND OBJECTIVES: This study was designed to identify factors that affect the enrollment of patients into American College of Radiology Imaging Network clinical trials. MATERIALS AND METHODS: A quality improvement study was performed. Brainstorming produced an exhaustive list of factors that could affect the interest of sites in participating in American College of Radiology Imaging Network trials, as well as factors that could influence patient recruitment. Surveys, structured interviews, and benchmarking were used to validate and rank the importance of these factors. RESULTS: Site participation was influenced mainly by the support of the department chair and the interest of the investigator. Patient recruitment was affected primarily by the ease of identifying candidates and the perceived experience level and skill of the support staff. CONCLUSION: Because radiologists do not control patient referrals for imaging tests, a premium must be placed on developing systems to maximize the identification and enrollment of candidates for clinical trials. Other factors considered critical to success in patient enrollment include the supportiveness of the departmental leadership, the experience and skill level of study personnel, and the availability of site-specific infrastructure to support the study.

Attitude of Health Personnel↗