To determine the precision for in vivo applications of model and non–model‐based bootstrap algorithms for estimating the measurement uncertainty of diffusion parameters derived from diffusion tensor imaging data.
Materials and Methods:
Four different bootstrap methods were applied to diffusion datasets acquired during 10 repeated imaging sessions. Measurement uncertainty was derived in eight manually selected regions of interest and in the entire brain white matter and gray matter. The precision of the bootstrap methods was analyzed using coefficients of variation and intra‐class correlation coefficients. Comprehensive simulations were performed to validate the results.
Results:
All bootstrap algorithms showed similar precision which slightly varied in dependence of the selected region of interest. The averaged coefficient of variation in the selected regions of interest was 13.81%, 12.35%, and 17.93% with respect to the apparent diffusion coefficient, the fractional anisotropy value, and the cone of uncertainty, respectively. The repeated measurements showed a very high similarity with intraclass‐correlation coefficients larger than 0.96. The simulations confirmed most of the in vivo findings.
The structured Repeated Action Diary (RAD) collects in vivo data on compulsions and their various characteristics. Certain compulsions (i.e., those ending because the patient feels certain that it is safe to stop) are then compared with uncertain compulsions. The compulsion profile in patients with obsessive compulsive disorder (OCD) was assessed by using the RAD. Thirty‐two patients from two sources participated in the study. Before pooling the two subgroups, we checked that they did not differ significantly with regard to demographic and clinical variables. Patients reported several categories of compulsion. The most frequently reported compulsions were washing and checking. In a given person, checking compulsions (in contrast to washing compulsions) were often produced by several different obsessions. Almost all the patients reported repeating the compulsions because of a need to feel sure. There were far more “certain” compulsions than “uncertain” compulsions. The number of repetitions was significantly lower for certain compulsions than for uncertain compulsions. The person felt greater relief from guilt and responsibility and a greater decrease in discomfort at the end of a compulsive episode for certain compulsions than for uncertain compulsions. In conclusion, the need to ritualize (prompted by uncertainty, i.e., potential danger) might explain the maintenance (or posttreatment recurrence) of OCD in many patients. The need for certainty in the completion of a compulsion may be worth considering as a therapeutic tool. The development of an approach based on the need for certainty might help to improve treatment outcomes. 相似文献
This study investigated the relationship between depression, family function, physical symptoms, and illness uncertainty in women with chronic kidney disease. Data were collected through structured questionnaire that was completed by 120 women undergoing hemodialysis. Assessment instruments consisted of the Family Adaptability, Partnership, Growth, Affection, Resolve Scale, Symptom Experience Scale, Mishel's Uncertainty in Illness Scale for Adults, and the Center for Epidemiological Studies‐Depression Scale. The higher the uncertainty about illness and physical symptoms, the higher is the level of depression, and the better the family function, the lower is the level of depression. Greater uncertainty was associated with poorer family function and worsening physical symptoms. A regression model explained 41% of the variance in depression. Significant predictors of depression were physical symptoms, living alone, illness uncertainty, and “poor” subjective health status. To improve depression of women with chronic kidney disease, nurses need to reduce physical symptoms and illness uncertainty in these patients and improve their subjective health status. In addition, the establishment of a therapeutic support system considering living arrangement will help to reduce depression in women with chronic kidney disease. 相似文献
This study evaluated the influence of parameter values and variances and model architecture on modeled exposures, and identified important data gaps that influence lack-of-knowledge-related uncertainty, using Consexpo 4.1 as an illustrative case study. Understanding the influential determinants in exposure estimates enables more informed and appropriate use of this model and the resulting exposure estimates.
In exploring the influence of parameter placement in an algorithm and of the values and variances chosen to characterize the parameters within ConsExpo, “sensitive” and “important” parameters were identified: product amount, weight fraction, exposure duration, exposure time, and ventilation rate were deemed “important,” or “always sensitive.” With this awareness, exposure assessors can strategically focus on acquiring the most robust estimates for these parameters.
ConsExpo relies predominantly on three algorithms to assess the default scenarios: inhalation vapors evaporation equation using the Langmuir mass transfer, the dermal instant application with diffusion through the skin, and the oral ingestion by direct uptake algorithm. These algorithms, which do not necessarily render health conservative estimates, account for 87, 89 and 59% of the inhalation, dermal and oral default scenario assessments,respectively, according them greater influence relative to the less frequently used algorithms.
Default data provided in ConsExpo may be useful to initiate assessments, but are insufficient for determining exposure acceptability or setting policy, as parameters defined by highly uncertain values produce biased estimates that may not be health conservative. Furthermore, this lack-of-knowledge uncertainty makes the magnitude of this bias uncertain.
Significant data gaps persist for product amount, exposure time, and exposure duration. These “important” parameters exert influence in requiring broad values and variances to account for their uncertainty. Prioritizing them for research will not only help fill a large and influential knowledge gap, but also lead to more accurate assessments and thus refine the studies informing policy decisions. 相似文献
Electronic health records (EHR) hold great promise for managing patient information in ways that improve healthcare delivery. Physicians differ, however, in their use of this health information technology (IT), and these differences are not well understood. The authors study the differences in individual physicians'' EHR use patterns and identify perceptions of uncertainty as an important new variable in understanding EHR use.
Design
Qualitative study using semi-structured interviews and direct observation of physicians (n=28) working in a multispecialty outpatient care organization.
Measurements
We identified physicians'' perceptions of uncertainty as an important variable in understanding differences in EHR use patterns. Drawing on theories from the medical and organizational literatures, we identified three categories of perceptions of uncertainty: reduction, absorption, and hybrid. We used an existing model of EHR use to categorize physician EHR use patterns as high, medium, and low based on degree of feature use, level of EHR-enabled communication, and frequency that EHR use patterns change.
Results
Physicians'' perceptions of uncertainty were distinctly associated with their EHR use patterns. Uncertainty reductionists tended to exhibit high levels of EHR use, uncertainty absorbers tended to exhibit low levels of EHR use, and physicians demonstrating both perspectives of uncertainty (hybrids) tended to exhibit medium levels of EHR use.
Conclusions
We find evidence linking physicians'' perceptions of uncertainty with EHR use patterns. Study findings have implications for health IT research, practice, and policy, particularly in terms of impacting health IT design and implementation efforts in ways that consider differences in physicians'' perceptions of uncertainty. 相似文献