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Eligibility, utilization, and costs in a California Medicaid lupus population.

OBJECTIVE: To investigate whether ethnicity was associated with differences in Medicaid eligibility, health care utilization, and direct medical costs in a systemic lupus erythematosus (SLE) population. METHODS: A retrospective analysis of California Medicaid claims data was conducted on patients with SLE. Patient eligibility and month-by-month utilization and costs were computed and compared across ethnic groups. Descriptive statistics are presented. A mixed regression model on patient-level data was used to verify the trends of the aggregate data, controlling for covariates. A survival regression model on time to ineligibility was used to show eligibility patterns adjusted for covariates. RESULTS: Hispanic patients were less likely to have a lengthy eligibility period as compared with other cohorts (approximately 50% versus 70% eligible at month 36, respectively). As treatment progressed, Hispanics generated lower total costs than other cohorts. Results for inpatient frequency, prescription costs, and outpatient/physician/supply (Part B) costs followed similar patterns. Mixed regression model findings revealed that when adjusted for age, sex, and aid program, total costs for Hispanic patients decreased as the length of care increased, in contrast to other ethnic groups. The interaction between ethnicity and treatment progression measured by quarter was significant (P <0.0001), but ethnicity as a main effect was not (P=0.091). This suggests that differences in total costs are small initially, but as the followup period extends, Hispanic patients experience lower total costs as compared with other ethnic groups. CONCLUSION: These California Medicaid program data reinforce the importance of investigating treatment differences in ethnic groups with SLE.

Adolescent↗

Display of small-area variation in health-related data: a methodology using resistant statistics.

Health care planning requires characterization of the population to be served. Examination of available demographic and epidemiologic data is one early step in this process. However, aggregate data for the entire geographic area of concern often fail to reveal important differences among geographically defined sub-populations--differences that influence the form an effective delivery system should take. We present a methodology based on exploratory data analysis (EDA) techniques that we have found useful in examining health-related data for our ambulatory care catchment area. Our examples use three population characteristics that have major implications for health care planning for the elderly: 1970-1980 change in population aged 65+; the percent of the population aged 65+ below poverty level; and the percent of single-person households among households with one or more persons aged 65+. With these data for the 25 municipalities of Middlesex County, New Jersey, we illustrate a two-step process: (1) the construction of stem-and-leaf displays that permit examination of a data distribution for asymmetry, concentrations around specific values, gaps in values, and outliers; and (2) the use of the median, the fourth-spread, and other information from the stem-and-leaf display in the systematic selection of data value classes to be given distinct shadings on a map of the selected geographic area. Discussion emphasizes the usefulness of graphic display of data in detecting similarities and unusual data values. Comparison of maps based on the EDA techniques and maps based on several traditional methods of value classing for the same data illustrates the influence of classing choices on the interpretation of cartographic displays of health-related data.

Aged↗

Patient-based health status measures in outpatient dialysis. Early experiences in developing an outcomes assessment program.

This paper describes the initial development of a patient-based outcomes assessment program in an outpatient dialysis unit. This project presented four logistical and practical issues that are discussed in this paper: patient acceptance of quarterly administrations of a generic health status survey (the SF-36); timing of administration during dialysis session; respondent burden; and staff burden. Also discussed are three issues related to the clinical use of these assessments: medical record status of SF-36 data; use in clinical decisionmaking; and clinicians' responses to aggregate data from patient-based health status assessments. The investigation reported presents strong evidence of patient acceptance of the SF-36. Data collection problems reflected the nature of a busy dialysis unit, and most have been corrected. Considering functional status, the role functioning of dialysis patients is most adversely affected; among well-being measures, patients are most compromised by pain and lack of energy. Clinicians' reviews of these results point to the need for normative data, information about severity of primary and comorbid diseases, and knowledge of relationships between SF-36 scores and physiologic parameters to make clinical use of generic health outcome assessments.

Activities of Daily Living↗

Aggregation and sedimentation in gas-fluidized beds of cohesive powders.

We present measurements on the settling velocity of gas-fluidized beds of fine cohesive powders. In the solidlike regime (solid volume fraction straight phi>straight phi(c)) particles are static, sustained by enduring contacts. The settling is hindered by interparticle contacts and is a very slow process. In the fluidlike regime (straight phi<straight phi(c)) permanent contacts no longer exist, and the bed displays a diffusive dynamics. The interparticle adhesive force leads to the formation of particle aggregates, and for this reason the sedimentation velocity exceeds the predicted value by empirical or theoretical laws on the settling of individual particles. We use an extension of the Richardson-Zaki empirical law for the settling of aggregates in the fluidlike regime to fit the experimental data. Aggregates are characterized by the number of aggregated particles N and by an effective radius R. The trend followed by these parameters with particle size is confirmed by direct visualization of the aggregates, and shows that cohesive effects become important when the adhesion force between particles is above particle weight. Results show that aggregates form open structures with a fractal dimension close to the predicted one in the diffusion-limited-aggregation model (D=2.5).

Journal Article↗

External quality assessment for warfarin dosing using computerised decision support software.

AIM: To establish and evaluate an external quality assessment scheme for warfarin dosing for users of a computerised decision support system, BAP-PC. DESIGN: Analysis of 12 months of clinical data from 10 primary care centres using BAP-PC within an oral anticoagulation clinic. Data were analysed for individual centres and compared with aggregated data for all practices. Individual feedback forms were provided to participating centres. RESULTS: A total patient population of 367 (range, 17-65/centre) was analysed. On average, patients spent 69% of time in the therapeutic range (range, 60-76%). Patients were seen on average every 27 days (range, 24-30). The average point prevalence was 86% (range, 76-100%). In total, 33 adverse events were reported (0-13/practice). Serious adverse events ranged from 0 to 1 for each practice. This translates into a serious adverse event rate of 1.6/100 patient years. CONCLUSIONS: Practices were successful in maintaining good therapeutic international normalised ratio control, with centres achieving 60% or higher time in range. There are some doubts about the quality of data collection at a practice level because there were no reported events in half of the participating centres. The observed event rates do concur with previously reported data, however. Further cycles of the scheme are necessary to establish it as a useful research and benchmarking tool.

Anticoagulants↗

[Geographic variability in the sexually mature phase of Ixodes persulcatus (Ixodidae). Experience in using databases on morphometry].

The aim of the article is to estimate geographic variation of Ixodes persulcatus adults as a whole. Intraspecific variation of the females and males of Ixodes persulcatus Schulze, 1930 has been studied in eight geographical localities ("populations") of its distribution range (fig. 1.). The distance between western and eastern localities is more than 8700 km, between northern and southern ones it is approximately 2900 km. Twenty five to thirty specimens of each sex were studied in each geographical locality. The following eleven characters were used (fig. 2, 3): length of scutum (conscutum), width of scutum (conscutum), length of anal ring, width of anal ring, length of spiracular plate, width of spiracular plate, length of gnathosoma, width of gnathosoma, length of II-III articles of palps, length of hypostome, length of tarsus 1. The multidimensional scaling method by means of software package SYSTAT was used for estimation of relationships between populations on the basis of morphometrical data. The differences between the populations were revealed only from absolute sizes of organs, whereas their proportions (i. e. shape) were constant in all geographical localities. Fig. 4, 1 shows that females from localities G (Primorski Territory) and C (Tien Shan Mountains) occupy extreme positions. Fig. 4, 2 shows that males from localities G (Primorski Territory) and D (SW Altai Mountains) on the one hand and A, B (European) on the other one occupy extreme positions. Locality C (Tien Shan Mountains) is similar to F (Western Sayan Mountains) and to European (A, B) whereas females of locality C differ from A, B and F. Taking into account the partial discrepancy of relationships between populations in sexes we have united the data on corresponding characters of both sexes in the aggregate data base (fig. 4, 3). This was possible owing to the multidimensional scaling method. Fig. 4, 3 shows isolated position of the population G (Primorski Territory), specimens of which are the largest in sizes. The populations D (SW Altai Mountains) and H (Sakhalin Island) are morphometrically most similar to the population G. The population C (Tien-Shan Mountains) is represented of the smallest specimens. The European populations (A and B) are closer to C. The largest sizes are typical of the populations G and D associated with relict Tertiary landscapes of Primorski Territory and SW Altai with which areas of ecological optimum of I. persulcatus coincide. The smallest sizes are observed in the European populations (A, B) near the north-western boundary of the distribution range of the species, as well as in the Alpine population of Tien-Shan Mountains, near the upper vertical boundary of the distribution range (2000-3000 m above sea level). Climatic conditions of the habitat in these areas are similar to those of the northwestern part of the distribution range of I. persulcatus.

Animals↗

Possible aggregation biases in road safety research and a mechanism approach to accident modeling.

In accident reconstruction, individual road accidents are treated as essentially deterministic events, although incomplete information can leave one uncertain about how exactly an accident happened. In statistical studies, on the other hand, accidents are treated as individually random, although the parameters governing their probability distributions may be modeled deterministically. Here, a simple deterministic model of a vehicle/pedestrian encounter is used to illustrate how naïvely applying statistical methods to aggregated data could lead to an ecological fallacy and to Simpson's paradox. It is suggested that these problems occur because the statistical regularities observed in accident data have no independent status, but are simply the result of aggregating particular types and frequencies of mechanisms.

Accidents, Traffic↗

Geographically masking health data to preserve confidentiality.

The conventional approach to preserving the confidentiality of health records aggregates all records within a geographical area that has a population large enough to ensure prevention of disclosure. Though this approach normally protects the privacy of individuals, the use of such aggregated data limits the types of research one can conduct and makes it impossible to address many important health problems. In this paper we discuss the design and implementation of geographical masks that not only preserve the security of individual health records, but also support the investigation of questions that can be answered only with some knowledge about the location of health events. We describe several alternative methods of masking individual-level data, evaluate their performance, and discuss both the degree to which we can analyse masked data validly as well as the relative security of each approach, should anyone attempt to recover the identity of an individual from the masked data. We conclude that the geographical masks we describe, when appropriately used, protect the confidentiality of health records while permitting many important geographically-based analyses, but that further research is needed to determine how the power of tests for clustering or the strength of other associative relationships are adversely affected by the characteristics of different masks.

Confidentiality↗

A profile of the female cycle length.

"This study suggests some points of view about the menstrual cycle length. In the first part aggregate indicators of cycle characteristics are computed for various types of data aggregations.... In the second part, the period analysis and the consequent estimated spectral density functions are applied to the basal body temperature series." Data are for 1,798 women in London, England. (SUMMARY IN ITA)

Biology↗

Drug management for acute tonic-clonic convulsions including convulsive status epilepticus in children.

BACKGROUND: Tonic-clonic (grand mal) convulsions and convulsive status epilepticus (currently defined as a grand mal convulsion lasting at least 30 minutes) are medical emergencies and demand urgent and appropriate anticonvulsant treatment. Diazepam, lorazepam, phenobarbitone, phenytoin and paraldehyde may all be regarded as drugs of first choice. OBJECTIVES: To review the evidence comparing diazepam, lorazepam, phenobarbitone, phenytoin and paraldehyde in treating acute tonic-clonic convulsions and convulsive status epilepticus in children. SEARCH STRATEGY: We searched the Cochrane Epilepsy Group's specialized register (4 July 2002); the Cochrane Controlled Trials Register (Cochrane Library Issue 2, 2002); MEDLINE (28 May 2002) and EMBASE (January 2002). SELECTION CRITERIA: Randomized controlled trials comparing lorazepam and other anticonvulsant drugs used for the treatment of convulsive status epilepticus in children. DATA COLLECTION AND ANALYSIS: This was a review of published, aggregate data. The main outcome measures included cessation of the presenting tonic-clonic convulsion/episode of convulsive status epilepticus; the number of additional drugs required to stop the convulsion; people demonstrating respiratory depression and people requiring admission to the intensive care unit because of respiratory depression. MAIN RESULTS: Only one trial was found, in which children were allocated lorazepam or diazepam. The main results are as follows. (1) One or two intravenous doses stopped the convulsion in 19 of 27 (70%) lorazepam and 22 of the 34 (65%) intravenous diazepam-treated children. The relative risk (RR) with 95% confidence intervals (CIs) was 1.09(95% CI 0.77 to 1.54). A single dose of rectal lorazepam stopped the convulsion in six of six, compared to six of 19 children treated with rectal diazepam, RR 3.17(95% CI 1.63 to 6.14). (2) Six of the 27 (22%) intravenous lorazepam and 12 of the 34 (35%) intravenous diazepam-treated children respectively, experienced a further convulsion within 24 hours after presentation RR 0.63(95% CI 0.27 to 1.46). (3) Only one of 27 children (4%) who received intravenous lorazepam compared to five of 34 children (15%) who received intravenous diazepam required additional antiepileptic drugs to terminate the presenting seizure RR 0.25(95% CI 0.03 to 2.03). (4) A lower incidence of respiratory depression occurred in the lorazepam-treated group: one of 27 (4%) children compared to seven of 34 in the diazepam-treated group (21%), RR 0.21(95% CI 0.02 to 1.37). REVIEWER'S CONCLUSIONS: This review provides no evidence to suggest that intravenous lorazepam should be preferred to diazepam as the first-line drug in treating acute tonic-clonic convulsions including convulsive status epilepticus in children. There was some evidence from this review that rectal lorazepam may be more effective and safer than rectal diazepam, but the data were insufficient to indicate that lorazepam should replace diazepam as the first choice rectal drug in treating acute tonic-clonic convulsions and convulsive status epilepticus.

Administration, Rectal↗

Individual patient data meta-analyses.

Systematic reviews help people to make well-informed decisions about health care by bringing together the relevant evidence, appraising it and, where appropriate, combining it in a meta-analysis. The ultimate aim for a systematic review should be to present all relevant data on all participants in all research judged to be eligible for the review. In reviews of the effects of interventions, this ultimate aim would be met through the collection and analyses of the results of all relevant randomized trials. Reviews that use individual patient data achieve this by the central collection and analyses of data on each participant in the trials. It allows the reviewer to overcome many of the problems associated with a reliance on published data alone, and some of the problems associated with using aggregate data supplied by the trialist, and will add to the analyses that can be performed. This chapter discusses the rationale for individual patient data reviews and describes some of their features.

Data Collection↗

Distribution of airborne radon-222 concentrations in U.S. homes.

Apparently large exposures of the general public to the radioactive decay products of radon-222 present in indoor air have led to systematical appraisal of monitoring data from U.S. single-family homes; several ways of aggregating data were used that take into account differences in sample selection and season of measurements. The resulting distribution of annual-average radon-222 concentrations can be characterized by an arithmetic mean of 1.5 picocurie per liter (55 becquerels per cubic meter) and a long tail with 1 to 3% of homes exceeding 8 picocuries per liter, or by a geometric mean of 0.9 picocurie per liter and a geometric standard deviation of about 2.8. The standard deviation in the means is 15%, estimated from the number and variability of the available data sets, but the total uncertainty is larger because these data may not be representative. Available dose-response data suggest that an average of 1.5 picocuries per liter contributes about 0.3% lifetime risk of lung cancer and that, in the million homes with the highest concentrations, where annual exposures approximate or exceed those received by underground uranium miners, long-term occupants suffer an added lifetime risk of at least 2%, reaching extraordinary values at the highest concentrations observed.

Air Pollutants↗

Calcium:magnesium ratio in local groundwater and incidence of acute myocardial infarction among males in rural Finland.

Several epidemiologic studies have shown an association between calcium and magnesium and coronary heart disease mortality and morbidity. In this small-area study, we examined the relationship between acute myocardial infarction (AMI) risk and content of Ca, Mg, and chromium in local groundwater in Finnish rural areas using Bayesian modeling and geospatial data aggregated into 10 km times symbol 10 km grid cells. Data on 14,495 men 35-74 years of age with their first AMI in the years 1983, 1988, or 1993 were pooled. Geochemical data consisted of 4,300 measurements of each element in local groundwater. The median concentrations of Mg, Ca, and Cr and the Ca:Mg ratio in well water were 2.61 mg/L, 12.23 mg/L, 0.27 microg/L, and 5.39, respectively. Each 1 mg/L increment in Mg level decreased the AMI risk by 4.9%, whereas a one unit increment in the Ca:Mg ratio increased the risk by 3.1%. Ca and Cr did not show any statistically significant effect on the incidence and spatial variation of AMI. Results of this study with specific Bayesian statistical analysis support earlier findings of a protective role of Mg and low Ca:Mg ratio against coronary heart disease but do not support the earlier hypothesis of a protective role of Ca.

Adult↗

A review of long-term oxygen therapy for chronic obstructive pulmonary disease.

This study aimed to review the evidence for the use of long-term oxygen therapy for patients with chronic obstructive pulmonary disease (COPD). The design was a systematic Cochrane review of randomized controlled trials (RCTs) of long-term oxygen therapy for COPD and main outcome measure was survival on home oxygen therapy. Five RCTs were identified. Data from two trials of nocturnal oxygen therapy in mild to moderate hypoxaemia were aggregated. Data from the other three trials could not be aggregated because of differences in trial design and patient selection. Treatment with continuous versus nocturnal oxygen therapy produced a significant improvement in mortality after 24 months [Peto odds ratio 0.45, 95% confidence interval (95% CI) 0.25-0.81] for the continuous therapy group. Treatment with oxygen therapy versus no oxygen therapy showed a significant improvement in mortality after five years in the group receiving oxygen therapy (Peto odds ratio 0.42, 95% CI 0.18-0.98). There was no difference in mortality for patients with COPD and mild to moderate daytime hypoxaemia and nocturnal desaturation receiving nocturnal oxygen therapy versus no oxygen therapy or sham treatment. Long-term oxygen therapy versus no oxygen therapy in patients with COPD and moderate hypoxaemia had no effect on survival. In conclusion, long-term oxygen therapy improved survival in a selected group of COPD patients with severe hypoxaemia but few co-morbidities. Long-term oxygen therapy did not improve survival in patients with moderate hypoxaemia or in those with mild to moderate hypoxaemia and arterial desaturation at night.

Adult↗

Multihospital surveillance of nosocomial methicillin-resistant Staphylococcus aureus, vancomycin-resistant enterococcus, and Clostridium difficile: analysis of a 4-year data-sharing project, 1999-2002.

BACKGROUND: This study sought to establish a benchmark of resistant organism rates among a cohort of regional hospitals. METHODS: The Centers for Disease Control and Prevention (CDC) definitions were used to standardize the methodology for obtaining rates per 1000 patient days of nosocomial infection and colonization with methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococcus (VRE), and nosocomial infection with Clostridium difficile (CDIF). Only newly acquired nosocomial cases were counted. Data were reported as individual hospital control charts and as cohorted aggregate data. VHA East Coast Infection Control Professionals from 32 hospitals in New Jersey and Pennsylvania were involved. RESULTS: Benchmarks were established with pooled mean rates for each cohort. During the observational period, a statistically significant downward trend was observed for VRE and MRSA (P = .02 and .0007, respectively), and an upward trend was observed for CDIF (P = .0256). CONCLUSION: Benchmarks were established to compare nosocomial MRSA, VRE, and CDIF rates. Although significant changes in rates were observed, no attempt was made to establish a causal relationship between infection control practices and observed rates. However, a secondary gain was achieved through sharing best practices.

Benchmarking↗

Assessment of hierarchical clustering methodologies for proteomic data mining.

Hierarchical clustering methodology is a powerful data mining approach for a first exploration of proteomic data. It enables samples or proteins to be grouped blindly according to their expression profiles. Nevertheless, the clustering results depend on parameters such as data preprocessing, between-profile similarity measurement, and the dendrogram construction procedure. We assessed several clustering strategies by calculating the F-measure, a widely used quality metric. The combination, on logged matrix, of Pearson correlation and Ward's methods for data aggregation is among the best clustering strategies, at least with the data sets we studied. This study was carried out using PermutMatrix, a freely available software derived from transcriptomics.

Algorithms↗

Obtaining data from randomised controlled trials: how much do we need for reliable and informative meta-analyses?

Many randomised controlled trials compare treatments that will produce only moderate differences in outcome, but these differences can be clinically important. However, they are difficult to assess reliably and require a large amount of randomised evidence. This can be achieved through large prospective randomised trials which will accrue future patients, the meta-analysis of results from randomised trials involving patients from the past, or--ideally--both. The techniques require that all possible biases are minimised, and in meta-analyses this can best be achieved by ensuring that all of the randomised evidence--both trials and participants in those trials--is included. The meta-analysis of individual patient data has been described as the gold standard for this approach. It will remove many of the problems associated with relying solely on published data and some of the problems arising from a reliance on aggregate data, and will also add to the analyses that can be performed. Such projects, however, require considerable time and effort.

Bias↗

Geochemistry of ground water and the incidence of acute myocardial infarction in Finland.

STUDY OBJECTIVE: To examine the association of spatial variation in acute myocardial infarction (AMI) incidence and its putative environmental determinants in ground water such as total water hardness, the concentration of calcium, magnesium, fluoride, iron, copper, zinc, nitrate, and aluminium. DESIGN: Small area study using Bayesian modelling and the geo-referenced data aggregated into 10 km x 10 km cells. SETTING: The population data were obtained from Statistics Finland, AMI case data from the National Death Register and the Hospital Discharge Register, and the geochemical data from hydrogeochemical database of Geological Survey of Finland. PARTICIPANTS: A total of 18 946 men aged 35-74 years with the first AMI attack in the years 1983, 1988, and 1993. MAIN RESULTS: One unit (in German degree degrees dH) increment in water hardness decreased the risk of AMI by 1%. Geochemical elements in ground water included in this study did not show a statistically significant effect on the incidence and spatial variation of AMI, even though suggestive findings were detected for fluoride (protective), iron and copper (increasing). CONCLUSIONS: The results of this study with more specific Bayesian statistical analysis confirm findings from earlier observations of the inverse relation between water hardness and coronary heart disease. The role of environmental geochemistry in the geographical variation of the AMI incidence should be studied further in more detail incorporating the individual intake of both food borne and water borne nutrients. Geochemical-spatial analysis provides a basis for the selection of areas suitable for such research.

Adult↗