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PubMed2005

Validation of surgical site infection surveillance data in Scotland.

Validation of surveillance data is necessary to ensure its scientific credibility, to identify methodological problems within the surveillance programme, to help increase compliance and participation in the surveillance programme, and to identify data quality issues at local level. Surgical site infection surveillance (SSIS) in Scotland has been implemented in collaboration between Health Protection Scotland (HPS) and staff in acute divisions in Scotland. A team at HPS carried out a study to validate the SSIS data reported to them. The aims of the validation study were: (i) to measure the completeness of the denominator data; (ii) to measure the accuracy of all SSIS data items reported to HPS; and (iii) to determine the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the SSIs reported to HPS against the SSIs validated as part of this study. The methodology utilized for validation of SSIS data was based on an evaluation research approach. The evaluation research approach involves a range of investigative activities, aimed at judging the worth of a programme or practice, and measures SSIS in terms of structure, process and outcome. The completeness of the denominator and the means of identifying eligible patients was identified. Descriptive information about how SSIS data were collected and managed at hospital level was collated, and the accuracy and completeness of the reported SSIS data were measured by case note review of selected cases. SSIS data from 27 hospitals in 15 acute divisions and one special health board were validated. The results indicated that a total of 91% of the procedures carried out (denominator) during a specified three-month period were reported to HPS. The case notes validated over 90% of records reported to HPS; however, there was variation in data quality between hospitals. The sensitivity, specificity, PPV and NPV of the SSIs reported to HPS were 96.7, 99.0, 94.6 and 99.4%, respectively. Where problems with data were identified at local level, hospitals have been offered guidance to improve their data. As a result of this study, HPS are confident that the Scottish SSIS data are reliable and robust.

Cross Infection↗
PubMed1995

A Windows-based tool for the study of clinical decision-making.

Studies of health-provider decision-making, and of their practice patterns, play a central role in efforts to improve the quality and effectiveness of care and in decreasing costs of healthcare delivery systems. Researchers from a variety of disciplines have studied a broad range of clinical conditions, using a number of methodological approaches and measurement tools, including self-report, written clinical vignettes, simulated clinical encounters using actors as patients and analysis of medical records and administrative data. Although these provide information about the outcomes of clinical decisions, they provide little or no information about the process of the decision. Most clinicians agree that the decision process is as important as the outcome, and indeed it is not unusual to have an exemplary process but a poor outcome. Process information is therefore a crucial dimension of care evaluation. In this paper, we describe a new software product that was originally used to measure diagnostic reasoning in the basic medical science of immunology; subsequently adapted to measure key steps in the clinical decision-making process. This Windows-based software is user-friendly, inexpensive, and requires only commonly available hardware for its operation. It is very flexible, permitting the creation of unlimited numbers and types of clinical scenarios, with diagnostic and/or management approaches. Being clinically "real-world," the scenarios are familiar to the user, who is therefore likely to respond in a "real-world" fashion, with the consequent improved accuracy of data. In addition, a wide range of users may be accommodated. The clinical activities of physicians, nurses, pharmacists, and any other clinical providers may be measured and analyzed by the system. Non-clinical providers, such as managers and administrators, could also be assessed. The system has three major modes. In the Authoring Mode, the author creates a menu, which is common to a number of linked scenarios. For example, the menu for physicians might include the History, Physical examination, Laboratory tests, Radiology, Consultations, etc. The actual details of each related clinical case may then be varied. There is virtually unlimited flexibility in the design of the menu and the clinical details, depending on the needs of the author, and the type of information desired. Both diagnostic and management scenarios are easily constructed. The cost for each individual step may be assigned, using any scoring scale desired. Actual dollar costs, or a suitable point score, are equally possible. Once the menu and associated scenarios are generated, the candidate is asked to solve the clinical problem in the User Mode. The candidate obtains information by "mouse-clicking," so it is not necessary to be a computer expert to use the system. Eventually, the candidate is presented with a short vignette outlining the desired solution, which may include the authors comments, sources for further information, etc. In the Data Collection and Analysis Mode, the candidate proceeds to solve the scenario, the software captures and stores each individual information request i.e., each step in the candidates reasoning process. Thus, the reasoning process can be examined, including timing and order and types of information used; this may be done both for individual candidates, and also for groups. A "gold standard" reasoning may be predetermined by the author for comparison purposes. The software has already been used to teach immunology to medical students, and is currently being expanded to train gynecology surgeons in the use of Clinical Practice Guidelines. The software has potential applications in many aspects of the healthcare field. For educators, it could serve in traditional exit examinations for the clinical disciplines, both undergraduate and postgraduate. (abstract truncated)

Computer-Assisted Instruction↗
PubMed2006

Predictors of recall of over-the-counter and prescription non-steroidal anti-inflammatory drug exposure.

PURPOSE: Because of the difficulty in establishing a gold standard, data on accuracy of recall of over-the-counter (OTC) medication use are sparse. METHODS: We studied a cohort of 1889 persons living in the Philadelphia area to assess recall of non-aspirin non-steroidal anti-inflammatory drug (NANSAID) use during the preceding 8 weeks. Our analyses were based on the assumption that among the group of subjects, on average, the reported usage of NANSAIDs should not vary over the previous 8 weeks. To model the effect of time on reported usage while allowing for the inherent correlation of responses within subjects over time, we employed alternating logistic regression. RESULTS: We documented a significant decline in reported use of OTC NANSAIDs but not prescription NANSAIDs during the 8-week study period (p = 0.3 for frequent prescription NANSAIDs, p = 0.2 for infrequent prescription NANSAIDs, p < 0.001 for frequent OTC NANSAIDs, and p < 0.001 for infrequent OTC NANSAIDs). Reported rates of frequent and infrequent OTC NANSAID consumption declined from 6.3 to 4.6% and from 17.1 to 12.8% between the most recent week and eight weeks prior, respectively. CONCLUSIONS: Interviews focusing on medications used on an as needed basis should be performed as close as possible to the index date. Likewise, data on frequent use of OTC NANSAIDs may be more reliable than that on infrequent use, particularly when subjects are asked to recall more than a few weeks back in time.

Adult↗
PubMed2002

Can administrative data be used to compare postoperative complication rates across hospitals?

BACKGROUND: Several quality assessment systems use administrative data to identify postoperative complications, with uncertain validity. OBJECTIVES: To determine how accurately postoperative complications are reported in administrative data, whether accuracy varies systematically across hospitals, and whether serious complications are more consistently reported. DESIGN: Retrospective cohort. SUBJECTS: Nine hundred ninety-one randomly sampled adults who underwent elective lumbar diskectomies at 30 nonfederal acute care hospitals in California in 1990 to 1991. Hospitals with especially low or high risk-adjusted complication rates, and patients who experienced complications, were over sampled. MEASURES: Postoperative complications were specified by reviewing medical literature and consulting clinical experts; each complication was mapped to ICD-9-CM. Hospital-reported complications were compared with our independent recoding of the same records. RESULTS: The weighted sensitivity, specificity, and positive and negative predictive values for reported complications were 35%, 98%, 82%, and 84%, respectively. The weighted sensitivity was 30% for serious, 40% for minor, and 10% for questionable complications. It varied from 21% among hospitals with fewer complications than expected to 45% among hospitals with more complications than expected. Only reoperation, bacteremia/sepsis, postoperative infection, and deep vein thrombosis were reported with at least 60% sensitivity. Half of the difference in risk-adjusted complication rates between low and high outlier hospitals was attributable to reporting variation. CONCLUSIONS: ICD-9-CM complications were underreported among diskectomy patients, especially at hospitals with low risk-adjusted complication rates. The validity of using coded complications to compare provider performance is questionable, even with careful efforts to identify serious events, although these results must be confirmed using more recent data.

California↗
PubMed2006

The knowledge and perceptions of medical personnel relating to outcome after cardiac arrest.

OBJECTIVE: We sought to evaluate the knowledge of probable outcome by medical personnel for in-hospital and out-of-hospital cardiac arrests, and self-reported history of CPR training referrals for family members of cardiac patients. METHODS: One hundred people from each of three population lists were randomly selected at a large, urban school of medicine and affiliated medical center: (1) year III and IV medical students; (2) residents in family medicine, emergency medicine, internal medicine, anesthesia, and surgery; (3) attending physicians in the same departments. A questionnaire was distributed that elicited estimates of in-hospital and out-of-hospital cardiac arrest (IHCA and OHCA, respectively) survival rates, and CPR training referral history. Estimates were compared against published data for accuracy (IHCA: 5-20%; OHCA 1-10%) RESULTS: The overall response rate was 63%. Accurate in-hospital cardiac arrest estimates [% (95% CI)] of survival were provided by 51.1% (36.8-63.4%), 47.3% (35.9-58.7%), and 36.7% (23.2-50.2%) of students, residents, and attending physicians, respectively. Accurate out-of-hospital estimates of survival were provided by 51.1% (36.8-63.4%), 52.1% (40.6-63.5%), and 70.8% (57.9-83.7%), respectively. Most thought that family members of cardiac patients ought to be CPR trained (92.6%). However, few had referred any for training in the past year (16.5%). There was strong support across respondent groups for including death notification information in the ACLS training program, with 80.4% of all respondents in favor. CONCLUSIONS: This study demonstrates that medical experience is not associated with accurate estimates of cardiac arrest survival. Overwhelmingly, medical personnel believe family members should be trained to perform CPR, however, few refer family members for CPR training.

Attitude of Health Personnel↗
PubMed1996

On-line evaluation of systolic performance by densitometry in digital left ventriculography.

The angiocardiographic evaluation of left ventricular end-diastolic (LVEDV) and end-systolic (LVESV) volumes and ejection fraction (EF) is routinely performed by the area-length method (ALM) but may lead to erroneous results. Digital imaging in real time allows densitometric procedures of determining left ventricular (LV) performance to be applied alternatively. In this study, we present densitometric algorithms for the analysis of LVEDV, LVESV, and EF from digital image data, establish accuracy and reproducibility, and determine value and limitations in comparison with ALM in single-plane 30 degrees right anterior oblique (RAO) projection. A linear relationship between iodine depth and measured densities is mainly burdened with scatter radiation and beam hardening which reduce primary radiation and suppress iodine depth. However, facilities such as deconvolution and correction algorithms are capable of reducing these sources of error. In the present study, computer-analyzed contrast images of iodine-filled wedges and spheres showed a near-linear relationship between iodine depth between 50-100 mg/cm2 and measured densities. Contrast images of heart casts and LV angio-grams of 54 patients were obtained with a digital image acquisition and processing system, and evaluated by two independent observers. The phantom study resulted in significantly (p < or = 0.01) better densitometric standard errors of estimate for volumes [3.3 ml densitometry (DENS) vs. 8.9 ml (ALM)] and simulated EF [4.3% (DENS) vs. 7.8% (ALM)] than ALM. The standard error of estimate for the comparison between both methods was 8.4 ml for volumes and 7.5% for EF. Densitometric volumes tended to underestimate volumes calculated by ALM. The angiographic study of patients demonstrated significant correlations between both methods (LVEDV r = 0.78, LVESV r = 0.83, total volumes: r = 0.89; EF r = 0.88). The standard errors of estimate can be ascribed to systematic, method-related errors of both DENS and ALM (LVEDV +/- 28.9 ml, LVESV +/- 23.4 ml, total volumes (EDV and ESV) +/- 27.1 ml; EF +/- 8.1%). The intra- and interobserver variability, respectively, exhibited significantly smaller (p < or = 0.01 and p < or = 0.05, respectively) standard errors of estimate for densitometric EF [4.6% (DENS) vs. 8.5% (ALM) and 7.1% (DENS) vs. 10.3% (ALM), respectively]. Inclined but not significant differences were found for LVEDV and LVESV. In conclusion, the data presented indicate that the calculation of LV volumes and EF in digital left ventriculography may be performed accurately by densitometric calculation in single-plane 30 degrees RAO projection. Minor underestimations in densitometric volume determination may be anticipated in the evaluation of LV geometry.

Adult↗
PubMed1998

Genealogical inference from microsatellite data.

Ease and accuracy of typing, together with high levels of polymorphism and widespread distribution in the genome, make microsatellite (or short tandem repeat) loci an attractive potential source of information about both population histories and evolutionary processes. However, microsatellite data are difficult to interpret, in particular because of the frequency of back-mutations. Stochastic models for the underlying genetic processes can be specified, but in the past they have been too complicated for direct analysis. Recent developments in stochastic simulation methodology now allow direct inference about both historical events, such as genealogical coalescence times, and evolutionary parameters, such as mutation rates. A feature of the Markov chain Monte Carlo (MCMC) algorithm that we propose here is that the likelihood computations are simplified by treating the (unknown) ancestral allelic states as auxiliary parameters. We illustrate the algorithm by analyzing microsatellite samples simulated under the model. Our results suggest that a single microsatellite usually does not provide enough information for useful inferences, but that several completely linked microsatellites can be informative about some aspects of genealogical history and evolutionary processes. We also reanalyze data from a previously published human Y chromosome microsatellite study, finding evidence for an effective population size for human Y chromosomes in the low thousands and a recent time since their most recent common ancestor: the 95% interval runs from approximately 15, 000 to 130,000 years, with most likely values around 30,000 years.

Genetics, Population↗
PubMed2004

Undergraduate pre-registration nursing education in Australia: a longitudinal examination of enrollment and completion numbers with a focus on students from rural and remote campus locations.

INTRODUCTION: There is much evidence to indicate a shortage of Registered Nurses (RNs) in Australia and to suggest that the shortage may be more pronounced in rural and remote locations. Attracting RNs to work in rural and remote areas may not be as simple as increasing the intake of students into university undergraduate pre-registration nursing courses. There is some evidence indicating that student nurses may be more likely to enter the nursing workforce in rural and remote locations if they have existing associations with rural and remote areas and/or their undergraduate education provides opportunities to undertake supported placements in rural and remote settings. Two important difficulties have been associated with measuring outcomes in relation to rural and remote pre-registration nursing students. One is defining what constitutes a rural or remote location and the other is suspect data on the number of nursing students enrolled in, and completing, nursing courses. The aims of this study were to provide a longitudinal profile of the number of domestic students studying and completing undergraduate pre-registration nursing courses in Australia, with a particular emphasis on identifying those at rural and remote university campuses, and to compare results across States and Territories. METHODS: This study presents the combined findings from two investigative reports. Data on undergraduate pre-registration nursing student numbers were collected via electronic survey instruments completed by staff at all Australian educational institutions offering undergraduate pre-registration nursing education programs in 2001 and 2002. Australian domestic students were the focus of this study. Data included the total number of domestic students enrolled in undergraduate pre-registration nursing courses in 2001 and 2002, the number of domestic students who successfully completed courses in 1999, 2000 and 2001, and estimates for the number expected to complete in 2002. Surveys were sent to course coordinators or other staff nominated by heads of divisions of nursing at each institution. RESULTS: There was a 100% response rate. Twenty-four rural and remote campus locations were identified using an adjusted form of the Rural, Remote and Metropolitan Areas (RRMA) classification system. The Australian Capital Territory and the Northern Territory did not have any rural or remote campus locations. In contrast, undergraduate pre-registration nursing in Tasmania was offered at a rural campus only (for the first 2 years). From 2001 to 2002, there was an increase of just over 5% in the total number of domestic students enrolled in undergraduate pre-registration nursing courses in Australia (2002 total = 22,811 students). Rural and remote location students accounted for slightly more than 25% of these students in 2001, and almost 27% in 2002. The States Victoria, New South Wales and Queensland had the highest percentage of students enrolled at rural and remote campus locations, greater than the Australian average for both years. In contrast, South Australia and Western Australia had less than 11% of students enrolled at rural and remote campus locations for each year. Total undergraduate pre-registration course completions increased by approximately 16% across Australia between 1999 (n = 4868) and 2002 (n = 5667), although for 2002, the figure was projected. Of these total course completions, the percentage of students completing at rural and remote campus locations increased from almost 23% to nearly 28% during the same period. Of the States/Territories with both metropolitan and rural/remote campus locations, only Victoria and Queensland had more than 25% of their total student completions consisting of students enrolled at rural and remote campus locations for each year. In contrast, South Australia and Western Australia had approximately 6% of student completions consisting of students enrolled at rural and remote campus locations in 1999, increasing to approximately 12% projected for 2002. CONCLUSIONS: In this study, the authors attempted to improve the accuracy of data collection in relation to the number of domestic undergraduate pre-registration nursing students in Australia, which is representative of the potentially new Australian domestic RN workforce. There was a trend towards an increasing number of students being enrolled in undergraduate pre-registration nursing courses, and also toward an increasing number of course completions. From the perspective of the rural and remote RN workforce, the percentage of students enrolled and completing courses at rural and remote campus locations was found to be increasing. However, there may be some areas of concern for education and workforce planners in States and Territories that are providing a smaller percentage of their undergraduate pre-registration nursing courses in rural and remote areas. Several study limitations are discussed and suggestions made for future research.

Journal Article↗
PubMed1984

Kinematic and force data collection in biomechanics by means of sonic emitters--I: Kinematic data collection methodology.

In this paper, first, the principles of sonic digitizing are presented. Next, a description of quantitative determination of the relative motion between two body segments by utilization of sonic emitters is provided. A new kinematic data collection methodology and data analysis is proposed to check continuously the accuracy of the data collected by means of the sonic emitters. The first part of the paper is terminated by establishment of an accuracy criteria and selection of the most accurate data set and associated error analysis. Quantitative results based upon the kinematic data collection methodology of Part I were obtained for the forced kinematic motion of the human shoulder complex and are presented in Part II.

Arm↗
PubMed2002

Axillary lymph node metastases: a statistical analysis of various parameters in MRI with USPIO.

PURPOSE: To assess the value of plain vs. iron oxide-enhanced MRI vs. the combined study (plain + postcontrast) based on qualitative and quantitative parameters of three pulse sequences. MATERIALS AND METHODS: Data from two sites were acquired using the same technique; therefore, this data could be pooled. T1W-SE, T2W-FSE, and 3D-PSIF were used before and 24-36 hours after MRI with ultra small particles of iron oxide (USPIO) was performed. A total of 52 lymph nodes (LNs) in nine patients (25 benign, 27 malignant) were evaluated by two readers who were visually and quantitatively blinded to the histology. Combinations of the following diagnostic parameters were compared using logistic regression analysis: the short-axis diameter of the LN, the signal distribution of the LN on postcontrast agent MRI (homogeneous or heterogeneous), and qualitatively and quantitatively determined signal changes of the LN following administration of contrast agent in the three evaluated sequences. RESULTS: Using pre- and postcontrast data, the optimized accuracy based on the statistically most significant parameters (LN diameter > 6 mm, visual assessment of signal change on T2W-SE) was 87% (81% sensitivity, 92% specificity). Precontrast data alone yielded 75% accuracy (63% sensitivity, 86% specificity). Postcontrast data alone yielded 75% accuracy (56% sensitivity, 96% specificity). CONCLUSION: Based on our results, USPIO-MRI improved the diagnosis of metastatic axillary LNs compared with precontrast MRI alone. Both pre- and postcontrast studies are needed. T1W-SE and T2W-PSIF did not yield significant additional information. This study may help to further improve the technique of USPIO imaging.

Axilla↗
PubMed2002

An application of the least-squares method to system parameters extraction from experimental data.

We explore the possibility and the limits of extracting the parameters of the model from simulated logistic and Henon time series. For the models considered, the least-squares approach provides accurate values of the recurrence order and polynomial degree along with the model parameters. We found that the number of data points increases the accuracy of the estimation only for noise-free data. With the white noise added to the data, the accuracy could not be improved above a certain threshold that is almost independent of the number of data points. The additive noise flattened the global minimum of the least-squares function such that above a noise threshold it is no longer possible to discern the optimum values of the recurrence order and/or polynomial degree. (c) 2002 American Institute of Physics.

Journal Article↗
PubMed2006

Self-reported utilization of health care services: improving measurement and accuracy.

Self-report is often used to estimate health care utilization. However, the accuracy of such data is of paramount concern. The authors conducted a systematic review of 42 studies that evaluated the accuracy of self-report utilization data, where utilization was defined as a visit to a clinical provider or entity. They also present a broad conceptual model that identifies major issues to consider when collecting, analyzing, and reporting such data. The results show that self-report data are of variable accuracy. Factors that affect accuracy include (1) sample population and cognitive abilities, (2) recall time frame, (3) type of utilization, (4) utilization frequency, (5) questionnaire design, (6) mode of data collection, and (7) memory aids and probes.

Health Services↗
PubMed2004

Long-term treatment of restless legs syndrome with dopamine agonists.

BACKGROUND: Controlled clinical trials robustly demonstrate the short-term efficacy of dopamine agonists (DA) for restless legs syndrome (RLS), but little is known about the long-term efficacy and long-term adverse events. Augmentation-an increase in the duration, intensity, and anatomy of RLS symptoms-is commonly associated with dopaminergic treatments; however, risk factors for this troubling scenario have not been formally evaluated. OBJECTIVES: To evaluate the long-term efficacy and tolerability of DA for RLS and to evaluate factors that could predict the occurrence of augmentation. METHODS: We queried all subjects seen from 1996 to 2003 and followed up those initiated on any DA by the Baylor College of Medicine Movement Disorders Clinic, Houston, Tex. Patients with Parkinson disease, uremia, or medications that could affect RLS were excluded. Demographics, efficacy, dosing, adverse events, and augmentation were tracked across time. Statistical modeling was used to evaluate for factors that could predict augmentation. RESULTS: After eliminating all patients with RLS who had factors that could affect DA dosing or the accuracy of data, we observed 83 subjects with at least 6 months' use of DA (mean +/- SD, 39.2 +/- 20.9 months). Efficacy was maintained across time but at the expense of moderate but significant increases in doses (P<.01). Adverse events were frequent but usually mild and seldom resulted in discontinuation. Augmentation was frequent (48% of subjects) but usually modest, and it was predicted by a positive family history for RLS and especially the lack of any neuropathy on electromyographic or nerve conduction velocity tests. CONCLUSIONS: Dopamine agonists continued to effectively treat RLS without long-term adverse events but often required adjustments across time. The higher rate of augmentation in familial and nonneuropathic RLS should be considered when initiating therapy.

Dopamine Agonists↗
PubMed2002

Childhood cancer survivors' knowledge about their past diagnosis and treatment: Childhood Cancer Survivor Study.

CONTEXT: Adult survivors of childhood cancer are at risk for adverse effects later in life but may have limited access to information about their diagnosis and treatment. This knowledge is necessary to motivate them to seek medical follow-up and to report essential history to health care professionals. OBJECTIVE: To assess knowledge of adult survivors of childhood cancer about their primary cancer diagnosis and associated therapies. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional survey of 635 consecutive survivors (approximately 5%) drawn from 12 156 participants 18 years or older participating in the Childhood Cancer Survivor Study (a multiinstitutional cohort of individuals diagnosed between January 1, 1970, and December 31,1986, at an age <21 years, who had survived 5 years from diagnosis). The survey assessed knowledge of their cancer diagnosis and associated therapies in a 3- to 5-minute telephone questionnaire. MAIN OUTCOME MEASURES: Responses were compared with medical record data for accuracy, sensitivity, specificity, and positive and negative predictive value. RESULTS: Overall, 72% accurately reported their diagnosis with precision and 19% were accurate but not precise. Individuals with central nervous system (CNS) cancer (odds ratio, 5.1; 95% confidence interval, 2.6-9.9) and neuroblastoma (OR, 4.2; 95% CI, 1.8-9.6) were more likely not to know their cancer diagnosis. Participants' accuracy rates for reporting their treatment history was 94% for chemotherapy, 89% for radiation, and 93% for splenectomy. Among those who received anthracyclines, only 30% recalled receiving daunorubicin therapy and 52% recalled receiving doxorubicin therapy, even after prompting with the drugs' names. Among those who received radiotherapy, 70% recalled the site of radiotherapy. History of receiving a written medical summary, attending a long-term follow-up clinic, and anxiety about late effects were not associated with greater knowledge. CONCLUSIONS: Important knowledge deficits exist among adult survivors of childhood cancer regarding basic aspects of their diagnosis and treatment. Such deficits could impair survivors' ability to seek and receive appropriate long-term follow-up care.

Adult↗
PubMed1997

Validation of a new UNIX-based quantitative coronary angiographic system for the measurement of coronary artery lesions.

We describe a method of validation of computerized quantitative coronary arteriography and report the results of a new UNIX-based quantitative coronary arteriography software program developed for rapid on-line (digital) and off-line (digital or cinefilm) analysis. The UNIX operating system is widely available in computer systems using very fast processors and has excellent graphics capabilities. The system is potentially compatible with any cardiac digital x-ray system for on-line analysis and has been designed to incorporate an integrated database, have on-line and immediate recall capabilities, and provide digital access to all data. The accuracy (mean signed differences of the observed minus the true dimensions) and precision (pooled standard deviations of the measurements) of the program were determined x-ray vessel phantoms. Intra- and interobserver variabilities were assessed from in vivo studies during routine clinical coronary arteriography. Precision from the x-ray phantom studies (6-In. field of view) for digital images was 0.066 mm and for digitized cine images was 0.060 mm. Accuracy was 0.076 mm (overestimation) for digital images compared to 0.008 mm for digitized cine images. Diagnostic coronary catheters were also used for calibration; accuracy.varied according to size of catheter and whether or not they were filled with iodinated contrast. Intra- and interobserver variabilities were excellent and indicated that coronary lesion measurements were relatively user-independent. Thus, this easy to use and very fast UNIX based program appears to be robust with optimal accuracy and precision for clinical and research applications.

Algorithms↗
PubMed1998

Rey-Osterrieth Complex Figure Test performance in acute, chronic, and remitted schizophrenia patients.

To assess visual memory disturbance in different forms of schizophrenia, we compared Rey-Osterrieth Complex Figure Test (RCF) performance in acutely psychotic, chronically psychotic, and outpatient schizophrenia patients and in a control group of acutely psychotic patients with disorders other than schizophrenia. There were no group differences on the copy condition of the RCF. The chronic schizophrenia group utilized more abnormal copying strategies, however, than the outpatient or nonschizophrenia groups. Moreover, the chronic schizophrenia group demonstrated significantly poorer recall than the outpatient or nonschizophrenia groups, and a trend toward poorer performance than the acute schizophrenia group. Both groups of inpatient schizophrenia patients were characterized by a lack of relationship between copying strategies and recall accuracy. These data suggest that (a) chronic schizophrenia patients are characterized by more severe memory impairment than are nonchronic schizophrenia patients, and (b) visual memory disturbance in chronic schizophrenia is not solely a function of encoding difficulties.

Acute Disease↗
PubMed2003

Physical methods for treating fever in children.

BACKGROUND: Health workers recommend bathing, sponging and other physical methods to treat fever in children and to avoid febrile convulsions. We know little about the most effective methods, or how these methods compare with commonly used drugs. OBJECTIVES: To evaluate the benefits and harms of physical cooling methods used for managing fever in children. SEARCH STRATEGY: We searched the Cochrane Infectious Diseases Group specialized trials register (February 2003), the Cochrane Central Register of Controlled Trials (Issue 1, 2003), MEDLINE (1966 to February 2003), EMBASE (1988 to November 2002), CINHAL (1982 to February 2003), LILACS (February 2003), Science Citation Index (1981 to February 2003), and reference lists of articles. We also contacted researchers in the field. SELECTION CRITERIA: Randomized and quasi-randomized trials comparing physical methods with a drug placebo or no treatment in children with fever of presumed infectious origin. Studies where children in both groups were given an antipyretic drug were included. DATA COLLECTION AND ANALYSIS: Two reviewers independently assessed trial methodological quality. One reviewer extracted data and the other checked the data for accuracy. Results were expressed as Relative Risk (RR) with 95% confidence intervals (CI) for discrete variables, and weighted mean differences for continuous outcomes. MAIN RESULTS: Seven trials, involving 467 participants, met the inclusion criteria. One small trial (n = 30), comparing physical methods with drug placebo, did not demonstrate a difference in the proportion of children without fever by one hour after treatment in a comparison between physical methods alone and drug placebo. In 2 studies, where all children received an anti-pyretic drug, physical methods resulted in a higher proportion of children without fever at one hour (n=125, RR 11.8, CI 3.39 to 40.8). I; in a third study (n=130), which only reported mean change in temperature, no differences wereas detected. Mild adverse events (shivering and goose pimples) were more common in the physical methods group (3 trials, RR 5.09; CI 1.56 to 16.60). REVIEWER'S CONCLUSIONS: A few small studies demonstrate that tepid sponging helps to reduce fever in children.

Acetaminophen↗
PubMed1984

Instrumentation for positron emission tomography.

Positron emission tomography with a spatial resolution of 2 mm full width at half maximum for quantitation in regions of interest 4 mm in diameter will become possible with the development of detectors that achieve ultrahigh resolution. Improved resolution will be possible using solid-state photodetectors for crystal identification or photomultiplier tubes with many small electron multipliers . Temporal resolution of 2 seconds and gating of cyclic events can be accomplished if statistical requirements are met. The major physical considerations in achieving high-resolution positron emission tomography are the degradation in resolution resulting from positron range, emission angle, parallax error, detector sampling density, the sensitivity of various detector materials and packing schemes, and the trade off between temporal resolution and statistical accuracy. The accuracy of data required for physiological models depends primarily on the fidelity of spatial sampling independent of statistical constraints.

Humans↗