How Much Does It Cost? Optimization of Costs in Sequence Analysis of Social Science Data

One major methodological problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. Although this problem is currently not optimally dealt with in the social sciences, it has some similarity with problems that have been solved in bioinformatics for three decades. In this article, the authors propose an optimization of substitution and deletion/insertion costs based on computational methods. The authors provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct data sets, the authors tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. The proposed method performs well compared with other cost-setting strategies, while it alleviates the justification problem of cost schemes.

Using register data to assess the impact of response enhancement methods on the risk of nonresponse bias and survey costs

The pursuit of high response rates to minimise the threat of nonresponse bias continues to dominate decisions about resource allocation in survey research. Yet a growing body of research has begun to question this practice. In this study, we use previously unavailable data from a new sampling frame based on population registers to assess the value of different methods designed to increase response rates on the European Social Survey in Switzerland. Using sampling data provides information about both respondents and nonrespondents, making it possible to examine how changes in response rates resulting from the use of different fieldwork methods relate to changes in the composition and representativeness of the responding sample. We compute an R-indicator to assess representativity with respect to the sampling register variables, and find little improvement in the sample composition as response rates increase. We then examine the impact of response rate increases on the risk of nonresponse bias based on Maximal Absolute Bias (MAB), and coefficients of variation between subgroup response rates, alongside the associated costs of different types of fieldwork effort. The results show that increases in response rate help to reduce MAB, while only small but important improvements to sample representativity are gained by varying the type of effort. These findings lend further support to research that has called into question the value of extensive investment in procedures aimed at reaching response rate targets and the need for more tailored fieldwork strategies aimed both at reducing survey costs and minimising the risk of bias.

Optimal dividend strategies for a compound Poisson risk process under transaction costs and power utility

We characterize the value function of maximizing the total discounted utility of dividend payments for a compound Poisson insurance risk model when strictly positive transaction costs are included, leading to an impulse control problem. We illustrate that well known simple strategies can be optimal in the case of exponential claim amounts. Finally we develop a numerical procedure to deal with general claim amount distributions.

Strategies for preventing late-onset cytomegalovirus disease in organ transplant recipients.

Objective: The incidence of late-onset cytomegalovirus disease (i.e. disease appearing after discontinuation of antiviral prophylaxis) in solid-organ transplant recipients remains excessively high. This review will focus on describing the several strategies that could potentially reduce the incidence of late-onset cytomegalovirus disease. Methods: We reviewed the literature and presented our own clinical experience in the field. Results: The incidence of late-onset cytomegalovirus disease in recent trials can be as high as 36% in high-risk patients (donor positive/recipient negative for cytomegalovirus). The extension of antiviral prophylaxis to six months has recently proven in a prospective randomized controlled trial to be effective for reducing late-onset cytomegalovirus disease. The monitoring of cytomegalovirus viral load by PCR after the discontinuation of prophylaxis seems to be of moderate usefulness in low/intermediate-risk patients. The use of low-dose valganciclovir could reduce drug toxicity and costs while maintaining similar efficacy, but further studies are needed. A potentially interesting approach to predict the individual risk for development of cytomegalovirus disease appears to be the assessment of specific cell-mediated immune response. If cell-mediated immunity assays become widely available in transplant centers in the future, these assays may possibly be used to tailor the cytomegalovirus preventive strategy on an individual basis. Finally, recent prospective trials have evaluated novel cytomegalovirus vaccines that merit further evaluation in the transplant setting, although currently there is no cytomegalovirus vaccine that has been approved for routine clinical use. Conclusions: Several studies have recently evaluated novel strategies to reduce the incidence of late-onset cytomegalovirus disease. It is therefore expected that this improvement in preventive strategies will allow to further reduce the negative effects of cytomegalovirus disease after transplantation.

No detectable indirect effects of late-onset Cytomegalovirus disease after valganciclovir (VGC) prophylaxis in kidney transplant recipients

Background: Cytomegalovirus (CMV) disease remains an important cause of morbidity after kidney transplantation and has been associated with acute rejection, graft loss and other indirect effects. A 3-month course of VGC prophylaxis reduces the incidence of CMV disease. However, little is known about the indirect effects of lateonset CMV disease after VGC prophylaxis. Objective: To evaluate the impact and indirect consequences of late-onset CMV disease after VGC prophylaxis in kidney transplant recipients. Methods: Retrospective analysis of 61 consecutive adult kidney transplant recipient with positive CMV serology (donor or recipient) who received VGC prophylaxis for 3 months and completed a follow-up of at least 2 years post-transplantation. Patients who developed CMV disease within 1 year after transplantation were compared to CMV disease-free patients for renal function (plasma creatinine values) at 1, 6, 12 and 24 months and for the incidence of graft loss, acute rejection, diabetes, cancer and opportunistic infections. Results: 8/61 (13%) patients developed CMV disease at a median of 131 days after transplantation (range: 98-220). The CMV incidence in D+/R- high risk patients was 6/18 (33%), while it was 2/43 (5%) in intermediate-risk patients (p < 0.01). All 8 patients were treated by oral valganciclovir (median 39 days; range: 19-119) with a complete resolution of CMV disease. As shown in the figure, there was no difference in creatinine values between the two groups at any time during follow-up. There was no graft loss, and the incidence of acute rejection, cancer and opportunistic infections did not differ between the two groups. The incidence of post-transplant diabetes was higher (38% vs 15%) in patients with CMV disease, but this difference was not significant (p = 0.4). Conclusions: An incidence of 13% of late-onset CMV disease was observed despite 3 months VGC prophylaxis. However, no indirect consequences were found. Moreover, therapy of CMV disease by oral VGC was effective and safe. Larger trials are needed to study whether late-onset CMV disease is associated with indirect consequences, as described with early-onset CMV.

Coûts humains de la dépendance au tabac [Human costs of tobacco dependence]

Human costs are an indicator of the value attributed to human burden related to diseases. The present paper summarizes a Swiss study. led by economists and physicians, which estimate the monetary value attributed by the general population regarding the consequences on quality of life of smoking related diseases. Such economic study may contribute to better understand smokers' concerns and beliefs and to improve effective strategies for smoking cessation in primary care.

The use of uniaxial accelerometry for the assessment of physical-activity-related energy expenditure: a validation study against whole-body indirect calorimetry.

Assessing the total energy expenditure (TEE) and the levels of physical activity in free-living conditions with non-invasive techniques remains a challenge. The purpose of the present study was to investigate the accuracy of a new uniaxial accelerometer for assessing TEE and physical-activity-related energy expenditure (PAEE) over a 24 h period in a respiratory chamber, and to establish activity levels based on the accelerometry ranges corresponding to the operationally defined metabolic equivalent (MET) categories. In study 1, measurement of the 24 h energy expenditure of seventy-nine Japanese subjects (40 (SD 12) years old) was performed in a large respiratory chamber. During the measurements, the subjects wore a uniaxial accelerometer (Lifecorder; Suzuken Co. Ltd, Nagoya, Japan) on their belt. Two moderate walking exercises of 30 min each were performed on a horizontal treadmill. In study 2, ten male subjects walked at six different speeds and ran at three different speeds on a treadmill for 4 min, with the same accelerometer. O2 consumption was measured during the last minute of each stage and was expressed in MET. The measured TEE was 8447 (SD 1337) kJ/d. The accelerometer significantly underestimated TEE and PAEE (91.9 (SD 5.4) and 92.7 (SD 17.8) % chamber value respectively); however, there was a significant correlation between the two values (r 0.928 and 0.564 respectively; P<0.001). There was a strong correlation between the activity levels and the measured MET while walking (r(2) 0.93; P<0.001). Although TEE and PAEE were systematically underestimated during the 24 h period, the accelerometer assessed energy expenditure well during both the exercise period and the non-structured activities. Individual calibration factors may help to improve the accuracy of TEE estimation, but the average calibration factor for the group is probably sufficient for epidemiological research. This method is also important for assessing the diurnal profile of physical activity.

What can we learn from international comparisons of costs by DRG ?

OBJECTIVES: The objective of this study was to compare costs data by diagnosis related group (DRG) between Belgium and Switzerland. Our hypotheses were that differences between countries can probably be explained by methodological differences in cost calculations, by differences in medical practices and by differences in cost structures within the two countries. METHODS: Classifications of DRG used in the two countries differ (AP-DRGs version 1.7 in Switzerland and APR-DRGs version 15.0 in Belgium). The first step of this study was to transform Belgian summaries into Swiss AP-DRGs. Belgian and Swiss data were calculated with a clinical costing methodology (full costing). Belgian and Swiss costs were converted into US$ PPP (purchasing power parity) in order to neutralize differences in purchasing power between countries. RESULTS: The results of this study showed higher costs in Switzerland despite standardization of cost data according to PPP. The difference is not explained by the case-mix index because this was similar for inliers between the two countries. The length of stay (LOS) was also quite similar for inliers between the two countries. The case-mix index was, however, higher for high outliers in Belgium, as reflected in a higher LOS for these patients. Higher costs in Switzerland are thus probably explained mainly by the higher number of agency staff by service in this country or because of differences in medical practices. CONCLUSIONS: It is possible to make international comparisons but only if there is standardization of the case-mix between countries and only if comparable accountancy methodologies are used. Harmonization of DRGs groups, nomenclature and accountancy is thus required.

Robust parametric indirect estimates of the expected cost of a hospital stay with covariates and censored data.

We consider the problem of estimating the mean hospital cost of stays of a class of patients (e.g., a diagnosis-related group) as a function of patient characteristics. The statistical analysis is complicated by the asymmetry of the cost distribution, the possibility of censoring on the cost variable, and the occurrence of outliers. These problems have often been treated separately in the literature, and a method offering a joint solution to all of them is still missing. Indirect procedures have been proposed, combining an estimate of the duration distribution with an estimate of the conditional cost for a given duration. We propose a parametric version of this approach, allowing for asymmetry and censoring in the cost distribution and providing a mean cost estimator that is robust in the presence of extreme values. In addition, the new method takes covariate information into account.

A whole body transportable indirect calorimeter for human use in the tropics.

A transportable, whole body indirect calorimeter, designed for use in the tropics, is described. The calorimeter was built to study energy expenditure of people having chronically or acutely low levels of food intake, and it will help to determine energy adaptations made by individuals with restricted food intake. The calorimeter comprises two units: a 27 m3 ventilated chamber connected to an office housing control and monitoring equipment. The system also allows the experimenter to assess the rate of energy expenditure by means of a ventilated hood or a baby respiration chamber. The incoming air flow rate is variable and is typically set at approximately 30 l/min. Carbon dioxide production (VCO2) and oxygen consumption (VO2) are continuously monitored by means of differential gas analysers via a computerized data acquisition unit. Gas production/consumption rates are measured with a delay of 80 s, the complete response to step changes in VCO2 or VO2 consumption being calculated over 15 min using the rate of change terms in the gas exchange equations. The total electrical power required for the whole system is 12 kW. The calorimeter has been functioning for nearly 4 years in a rural village of The Gambia during which ambient temperatures have ranged from 16 to 44 degrees C and dewpoints from -8 to 24 degrees C. The performance and accuracy of the calorimeter were tested using 20 per cent CO2 in N2 infusion and butane burning. Agreement between the theoretical and the measured values was found to be 99 per cent for VO2 and 100 per cent for VCO2 with a precision for both gases of +/- 10 ml/min over a 1-h period.

Does a mandatory telemedicine call prior to visiting a physician reduce costs or simply attract good risks?

This paper aims to estimate empirically the efficiency of a Swiss telemedicine service introduced in 2003. We used claims' data gathered by a major Swiss health insurer, over a period of 6 years and involving 160 000 insured adults. In Switzerland, health insurance is mandatory, but everyone has the option of choosing between a managed care plan and a fee-for-service plan. This paper focuses on a conventional fee-for-service plan including a mandatory access to a telemedicine service; the insured are obliged to phone this medical call centre before visiting a physician. This type of plan generates much lower average health expenditures than a conventional insurance plan. Reasons for this may include selection, incentive effects or efficiency. In our sample, about 90% of the difference in health expenditure can be explained by selection and incentive effects. The remaining 10% of savings due to the efficiency of the telemedicine service amount to about SFr 150 per year per insured, of which approximately 60% is saved by the insurer and 40% by the insured. Although the efficiency effect is greater than the cost of the plan, the big winners are the insured who not only save monetary and non-monetary costs but also benefit from reduced premiums. Copyright © 2010 John Wiley & Sons, Ltd.

The evolution of judgement bias in indirect reciprocity.

Indirect reciprocity is a form of reciprocity where help is given to individuals based on their reputation. In indirect reciprocity, bad acts (such as not helping) reduce an individual's reputation while good acts (such as helping) increase an individual's reputation. Studies of indirect reciprocity assume that good acts and bad acts are weighted equally when assessing the reputation of an individual. As different information can be processed in different ways, this is not likely to be the case, and it is possible that an individual could bias an actor's reputation by putting more weight to acts of defection (not helping) than acts of co-operation (helping) or vice versa. We term this difference 'judgement bias', and build an individual-based model of image scoring to investigate the conditions under which it may evolve. We find that, if the benefits of co-operation are small, judgement bias is weighted towards acts perceived to be bad; if the benefits are high, the reverse is true. Our result is consistent under both scoring and standing strategies, and we find that allowing judgement bias to evolve increases the level of co-operation in the population.