Updating a diesel engine exhaust job-exposure matrix with published measurement data.

A job-exposure matrix (JEM) is a tool that can estimate diesel engine exhaust (DEE) exposures. JEMs based on expert judgment or measurement data are limited by the information available at the time of development. Over time, more information about hazardous exposures is understood through additional measurements and peer-reviewed publications. This study presents a systematic approach to updating an existing DEE JEM using published data to better reflect current scientific knowledge. The literature was searched for occupational exposure studies that measured DEE as elemental carbon (EC) between January 2010 and May 2022. Four-digit North American Industry Classification System (NAICS) 2002 and National Occupational Classification-Statistics (NOC-S) 2006 codes were assigned to each identified subgroup within the studies. EC exposures were categorized as low (0-10 µg/m3), moderate (10-20 µg/m3), or high (>20 µg/m3). Weighted arithmetic means were calculated for each industry-occupation intersection (IOI) identified in the literature. These means were used to adjust, or retain, the existing exposure level within the JEM cells using a decision tree based on the number of studies, workplace locations, and pooled sample size of the weighted mean. Concordance was measured between the updated JEM (Diesel Exhaust in Canada JEM (DEC-JEM)), the previous (existing) JEM, and the Canadian Job-Exposure Matrix (CANJEM). Thirty-seven studies were identified from the published literature reporting on 53 unique IOIs (20 NAICS and 34 NOC-S codes), including occupations in the mining, construction, and transportation industries. Exposure levels for 66% of identified IOIs increased, most in construction and mining. After the decision tree's results were expanded to the full DEC-JEM, the exposure level of 486 IOIs (12.5% of DEC-JEM) and 286,710 workers (15.8% of DEE-exposed workers) increased. There was a significant correlation between qualitative exposure levels in the updated DEC-JEM and CANJEM (Kendall's τ = 0.364, p < 0.001). This study describes a systematic approach to updating an existing JEM to incorporate new scientific knowledge. The updated DEC-JEM better reflects existing exposure knowledge in several industries, particularly construction. Future analyses include investigating its use as an exposure assessment tool in disease surveillance.

Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index.

There are many surgical operations performed daily in operation rooms worldwide. Adequate anesthesia is needed during an operation. Besides hypnosis, adequate analgesia is critical to prevent autonomic reactions. Clinical experience and vital signs are usually used to adjust the dosage of analgesics. Analgesia nociception index (ANI), which ranges from 0 to 100, is derived from heart rate variability (HRV) via electrocardiogram (ECG) signals, for pain evaluation in a non-invasive manner. It represents parasympathetic activity. In this study, we compared the performance of multilayer perceptron (MLP) and long short-term memory (LSTM) algorithms in predicting expert assessment of pain score (EAPS) based on patient's HRV during surgery. The objective of this study was to analyze how deep learning models differed from the medical doctors' predictions of EAPS. As the input and output features of the deep learning models, the opposites of ANI and EAPS were used. This study included 80 patients who underwent operations at National Taiwan University Hospital. Using MLP and LSTM, a holdout method was first applied to 60 training patients, 10 validation patients, and 10 testing patients. As compared to the LSTM model, which had a testing mean absolute error (MAE) of 2.633 ± 0.542, the MLP model had a testing MAE of 2.490 ± 0.522, with a more appropriate shape of its prediction curves. The model based on MLP was selected as the best. Using MLP, a seven-fold cross validation method was then applied. The first fold had the lowest testing MAE of 2.460 ± 0.634, while the overall MAE for the seven-fold cross validation method was 2.848 ± 0.308. In conclusion, HRV analysis using MLP algorithm had a good correlation with EAPS; therefore, it can play role as a continuous monitor to predict intraoperative pain levels, to assist physicians in adjusting analgesic agent dosage. Further studies may consider obtaining more input features, such as photoplethysmography (PPG) and other kinds of continuous variable, to improve the prediction performance.

[Accident-related and workplace-related vascular disorders of the hand]. / Unfall- und arbeitsplatzbezogene Erkrankungen der Hand mit gefäßmedizinischem Hintergrund.

BACKGROUND: Limited hand function as the result of occupational exposure or accidental injury could primarily be of vascular origin. Since it is quite rarely seen in the course of routine traumatology, special awareness of this is needed. AIM OF THE PAPER: The occupational diseases hypothenar/thenar hammer syndrome (occupational disease 2114) and vibration-induced vasospastic syndrome (occupational disease 2104) are presented on the basis of their etiological and pathogenetic characteristics, taking aspects of occupational medicine and expert opinion into consideration. DISCUSSION: Blunt force trauma to vascular structures of the hand can damage the tunica intima of the affected thenar or hypothenar arteries. Chronic exposure of the arms, hands and fingers to vibration can lead to the injury of nerve and vascular structures. Thermometry and pallesthesiometry are used in the diagnostics alongside methods of vascular medicine. CONCLUSION: Vascular entities can also play a role in the surgical assessment of the impact of an accident or of an occupational disease after exposure to vibration. Awareness of them can shorten the latency between the onset of symptoms and a definitive diagnosis.

[IMPROVING THE ORGANIZATION OF LABOR AND THE QUALITY OF MEDICAL CARE AT PARAMEDIC AND OBSTETRIC STATIONS].

In the provision of primary health care to the rural population, the role of paramedic and obstetric stations (FAP) is great. The purpose of the study is to develop a system of measures aimed at improving the quality of medical care provided at paramedic and obstetric stations. The study was conducted in 2019-2020 on the basis of 26 FAP of 12 central district hospitals (CRH) of the Republic of Dagestan. The organization of labor of 26 paramedics and 26 midwives during 1740 hours was studied by the method of time-lapse observation. The content of 16511 visits by the FAP population was analyzed. The expert evaluation method studied the quality of medical care to 445 patients on 7 FAP. The main work of FAP paramedics accounts for 74.5%, and for midwives - 76.3% of all labor costs. A significant share in the cost structure is occupied by preventive (22.9% for paramedics and 27.8% for midwives) and diagnostic and therapeutic activities (17% and 15.6%). There are high costs for transitions and relocations (17.3% and 14.1%) and for working with documentation (13.7% and 14.5%). In the structure of visits by the population of paramedics and midwives of FAP, for reasons of the greatest proportion are visits with therapeutic and diagnostic purposes (37%), followed by visits for medical appointments (32.8%) and preventive (23.9%). The quality of medical care provided by paramedics to patients with therapeutic diseases was inadequate in 23.8% of cases. Every third (35.7%) patient was treated with FAP unreasonably. Out of the total number of patients who were treated unreasonably on FAP, according to experts, 62.5% had to be treated in the CRH, 34.8% - in the district hospital (outpatient clinic).

[ISO 1999:2013 part 1 : Revised probability model for calculating noise-induced hearing loss]. / ISO 1999:2013 Teil 1 : Überarbeitetes Wahrscheinlichkeitsmodell zur Berechnung des lärmbedingten Hörverlusts.

The ISO 1999:2013 norm describes a method of calculating the statistically expected permanent threshold shift (PTS) due to noise. Input parameters are noise level LEX,8h related to an 8­hour working day, duration of noise exposure in years, gender, and age. The background is a formula based on four datasets of measured values from larger surveys. Within its defined scope, ISO 1999 provides audiometric hearing curves for the frequencies 0.5, 1, 2, 3, 4, and 6 kHz for probability percentiles 5 to 95. This international standard is a useful additional tool for estimating the most probable cause of hearing disability when compared to the hearing curve in a noise worker's threshold audiogram and thus for deciding whether an occupational noise-induced hearing loss is likely to be present or not. According to the formula given in ISO 1999, sets of curves were recalculated separately for women and men to make them easily accessible in a new, expanded, and modernized graphical representation in this publication. Thus, according to ISO 1999, the following applies for the assessment: The higher the age, the more likely a noise-induced hearing threshold shift is to recede behind an age-related hearing threshold shift.

Silica and asbestos exposure at work and the risk of bladder cancer in Canadian men: a population-based case-control study.

BACKGROUND: Silica and asbestos are recognized lung carcinogens. However, their role in carcinogenesis at other organs is less clear. Clearance of inhaled silica particles and asbestos fibers from the lungs may lead to translocation to sites such as the bladder where they may initiate carcinogenesis. We used data from a Canadian population-based case-control study to evaluate the associations between these workplace exposures and bladder cancer. METHODS: Data from a population-based case-control study were used to characterize associations between workplace exposure to silica and asbestos and bladder cancer among men. Bladder cancer cases (N = 658) and age-frequency matched controls (N = 1360) were recruited within the National Enhanced Cancer Surveillance System from eight Canadian provinces (1994-97). Exposure concentration, frequency and reliability for silica and asbestos were assigned to each job, based on lifetime occupational histories, using a combination of job-exposure profiles and expert review. Exposure was modeled as ever/never, highest attained concentration, duration (years), highest attained frequency (% worktime) and cumulative exposure. Odds ratios (OR) and their 95% confidence intervals (CI) were estimated using adjusted logistic regression. RESULTS: A modest (approximately 20%) increase in bladder cancer risk was found for ever having been exposed to silica, highest attained concentration and frequency of exposure but this increase was not statistically significant. Relative to unexposed, the odds of bladder cancer were 1.41 (95%CI: 1.01-1.98) times higher among men exposed to silica at work for ≥27 years. For asbestos, relative to unexposed, an increased risk of bladder cancer was observed for those first exposed ≥20 years ago (OR:2.04, 95%CI:1.25-3.34), those with a frequency of exposure of 5-30% of worktime (OR:1.45, 95%CI:1.06-1.98), and for those with < 10 years of exposure at low concentrations (OR:1.75, 95%CI:1.10-2.77) and the lower tertile of cumulative exposure (OR:1.69, 95%CI:1.07-2.65). However, no clear exposure-response relationships emerged. CONCLUSIONS: Our results indicate a slight increase in risk of bladder cancer with exposure to silica and asbestos, suggesting that the effects of these agents are broader than currently recognized. The findings from this study inform evidence-based action to enhance cancer prevention efforts, particularly for workers in industries with regular exposure.

Relating characteristics of global biodiversity targets to reported progress.

To inform governmental discussions on the nature of a revised Strategic Plan for Biodiversity of the Convention on Biological Diversity (CBD), we reviewed the relevant literature and assessed the framing of the 20 Aichi Biodiversity Targets in the current strategic plan. We asked international experts from nongovernmental organizations, academia, government agencies, international organizations, research institutes, and the CBD to score the Aichi Targets and their constituent elements against a set of specific, measurable, ambitious, realistic, unambiguous, scalable, and comprehensive criteria (SMART based, excluding time bound because all targets are bound to 2015 or 2020). We then investigated the relationship between these expert scores and reported progress toward the target elements by using the findings from 2 global progress assessments (Global Biodiversity Outlook and the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services). We analyzed the data with ordinal logistic regressions. We found significant positive relationships (p < 0.05) between progress and the extent to which the target elements were perceived to be measurable, realistic, unambiguous, and scalable. There was some evidence of a relationship between progress and specificity of the target elements, but no relationship between progress and ambition. We are the first to show associations between progress and the extent to which the Aichi Targets meet certain SMART criteria. As negotiations around the post-2020 biodiversity framework proceed, decision makers should strive to ensure that new or revised targets are effectively structured and clearly worded to allow the translation of targets into actionable policies that can be successfully implemented nationally, regionally, and globally.

Relación de las Características de los Objetivos Mundiales de Biodiversidad con el Progreso Reportado Resumen Para informar las discusiones gubernamentales sobre la naturaleza de una revisión del Plan Estratégico para la Biodiversidad del Convenio sobre la Diversidad Biológica (CBD, en inglés), revisamos la literatura relevante y evaluamos el marco de 20 Objetivos de Biodiversidad de Aichi en el plan estratégico actual. Le pedimos a expertos internacionales de organizaciones no gubernamentales, de la academia, de agencias gubernamentales, organizaciones internacionales, de institutos de investigación y de la CBD que puntuaran los Objetivos de Aichi y sus elementos constituyentes frente a un conjunto de criterios específicos, medibles, ambiciosos, realistas (basados en SMART [las iniciales en inglés] y excluyendo aquellos limitados por el tiempo, pues todos los objetivos están limitados al 2015 o al 2020), inequívocos, expansibles y completos (excluyendo aquellos limitados por el tiempo). Después investigamos la relación entre los puntajes de estos expertos y el progreso reportado hacia los elementos objetivo usando los resultados de dos valoraciones mundiales del progreso (el Pronóstico Mundial de la Biodiversidad y la Plataforma Intergubernamental de Ciencia y Política sobre la Biodiversidad y los Servicios Ambientales). Analizamos los datos con regresiones logísticas ordinales. Encontramos relaciones positivas significativas (p < 0.05) entre el progreso y el alcance al que fueron percibidos como medibles, realistas, inequívocos y expansibles los elementos objetivo. Hubo algo de evidencia de la relación entre el progreso y la ambición. Somos los primeros en mostrar las asociaciones entre el progreso y la extensión hasta la que los Objetivos de Aichi cumplen con ciertos criterios SMART. Conforme proceden las negociaciones en torno al marco de trabajo de biodiversidad post-2020, quienes toman las decisiones deberían esforzarse por asegurar que los objetivos nuevos o revisados estén estructurados efectivamente y redactados claramente para permitir la traducción de los objetivos hacia políticas factibles que puedan implementarse exitosamente a nivel nacional, regional y mundial.

A hybrid expert approach for retrospective assessment of occupational exposures in a population-based case-control study of cancer.

BACKGROUND: While the expert-based occupational exposure assessment approach has been considered the reference method for retrospective population-based studies, its implementation in large study samples has become prohibitive. To facilitate its application and improve upon it we developed, in the context of a Montreal population-based study of prostate cancer (PROtEuS), a hybrid approach combining job-exposure profiles (JEPs) summarizing expert evaluations from previous studies and expert review. We aim to describe the hybrid expert method and its impacts on the exposures assigned in PROtEuS compared to those from a previous study coded using the traditional expert method. METHODS: Applying the hybrid approach, experts evaluated semi-quantitative levels of confidence, concentration and frequency of exposure to 313 agents for 16,065 jobs held by 4005 subjects in PROtEuS. These assessments were compared to those from a different set of jobs coded in an earlier study of lung cancer, conducted on the same study base, for 90 blue-collar occupations and 203 agents. Endpoints evaluated included differences in the number of exposures and in the distribution of ratings across jobs, and the within-occupation variability in exposure. RESULTS: Compared to jobs from the lung cancer study, jobs in PROtEuS had on average 0.3 more exposures. PROtEuS exposures were more often assigned definite confidence ratings, but concentration and frequency levels tended to be lower. The within-occupation variability in ratings assigned to jobs were lower in PROtEuS jobs for all metrics. This was particularly evident for concentration, although considerable variability remained with over 40% of occupation/agent cells in PROtEuS exposed at different levels. The hybrid approach reduced coding time by half, compared to the traditional expert assessment. CONCLUSIONS: The new hybrid expert approach improved on efficiency and transparency, and resulted in greater confidence in assessments, compared to the traditional expert method applied in an earlier study involving a similar set of jobs. Assigned ratings were more homogeneous with the hybrid approach, possibly reflecting clearer guidelines for coding, greater coherence between experts and/or reliance on summaries of past assessments. Nevertheless, significant within-occupation variability remained with the hybrid approach, suggesting that experts took into account job-specific factors in their assessments.

Validation of self-reported occupational noise exposure in participants of a French case-control study on acoustic neuroma.

OBJECTIVES: To validate self-reported occupational loud noise exposure against expert evaluation of noise levels in a French case-control study on acoustic neuroma and to estimate the impact of exposure misclassification on risk estimation. METHODS: Noise levels were evaluated in 1006 jobs held by 111 cases and 217 population controls by an expert. Case-control differences in self-reporting were analyzed with logistic models. Sensitivity, specificity, positive and negative predictive values, and observed agreement of the self-reports were computed relative to the expert evaluation. They were used to calibrate the odds ratio (OR) between lifetime ever occupational loud noise exposure and the risk of acoustic neuroma, without adjustment for measurement error of the expert assessments. RESULTS: Cases reported noise levels in individual jobs closer to the expert assessment than controls, but the case-control difference was small for lifetime exposures. For expert-rated exposure of 80 dB(A), reporting of individual jobs by cases was more sensitive (54% in cases, 37% in controls), whereas specificity (91% in cases, 93% in controls) and observed agreement (82% in cases, 81% in controls) were similar. When lifetime exposure was considered, sensitivity increased (76% in cases, 65% in controls), while cases specificity decreased (84%). When these values were used to calibrate self-reports for exposure misclassification compared to expert evaluation at 80 dB(A), the crude OR of 1.7 was reduced to 1.3. CONCLUSIONS: Despite the relatively accurate reporting of loud noise, the impact of the calibration on the OR was non-negligible.

Making reliable negative predictions of human skin sensitisation using an in silico fragmentation approach.

A previously published fragmentation method for making reliable negative in silico predictions has been applied to the problem of predicting skin sensitisation in humans, making use of a dataset of over 2750 chemicals with publicly available skin sensitisation data from 18 in vivo assays. An assay hierarchy was designed to enable the classification of chemicals within this dataset as either sensitisers or non-sensitisers where data from more than one in vivo test was available. The negative prediction approach was validated internally, using a 5-fold cross-validation, and externally, against a proprietary dataset of approximately 1000 chemicals with in vivo reference data shared by members of the pharmaceutical, nutritional, and personal care industries. The negative predictivity for this proprietary dataset was high in all cases (>75%), and the model was also able to identify structural features that resulted in a lower accuracy or a higher uncertainty in the negative prediction, termed misclassified and unclassified features respectively. These features could serve as an aid for further expert assessment of the negative in silico prediction.

Self-assessment in laparoscopic surgical skills training: Is it reliable?

BACKGROUND: The concept of self-assessment has been widely acclaimed for its role in the professional development cycle and self-regulation. In the field of medical education, self-assessment has been most used to evaluate the cognitive knowledge of students. The complexity of training and evaluation in laparoscopic surgery has previously acted as a barrier in determining the benefits self-assessment has to offer in comparison with other fields of medical education. METHODS: Thirty-five surgical residents who attended the 2-day Laparoscopic Surgical Skills Grade 1 Level 1 curriculum were invited to participate from The Netherlands, India and Romania. The competency assessment tool (CAT) for laparoscopic cholecystectomy was used for self- and expert-assessment and the resulting distributions assessed. RESULTS: A comparison between the expert- and self-assessed aggregates of scores from the CAT agreed with previous studies. Uniquely to this study, the aggregates of individual sub-categories-'use of instruments'; 'tissue handling'; and errors 'within the component tasks' and the 'end product' from both self- and expert-assessments-were investigated. There was strong positive correlation (r s > 0.5; p < 0.001) between the expert- and self-assessment in all categories with only the 'tissue handling' having a weaker correlation (r s = 0.3; p = 0.04). The distribution of the mean of the differences between self-assessment and expert-assessment suggested no significant difference between the scores of experts and the residents in all categories except the 'end product' evaluation where the difference was significant (W = 119, p = 0.03). CONCLUSION: Self-assessment using the CAT form gives results that are consistently not different from expert-assessment when assessing one's proficiency in surgical skills. Areas where there was less agreement could be explained by variations in the level of training and understanding of the assessment criteria.

Wishful Thinking? Inside the Black Box of Exposure Assessment.

BACKGROUND: Decision-making processes used by experts when undertaking occupational exposure assessment are relatively unknown, but it is often assumed that there is a common underlying method that experts employ. However, differences in training and experience of assessors make it unlikely that one general method for expert assessment would exist. Therefore, there are concerns about formalizing, validating, and comparing expert estimates within and between studies that are difficult, if not impossible, to characterize. Heuristics on the other hand (the processes involved in decision making) have been extensively studied. Heuristics are deployed by everyone as short-cuts to make the often complex process of decision-making simpler, quicker, and less burdensome. Experts' assessments are often subject to various simplifying heuristics as a way to reach a decision in the absence of sufficient data. Therefore, investigating the underlying heuristics or decision-making processes involved may help to shed light on the 'black box' of exposure assessment. METHODS: A mixed method study was conducted utilizing both a web-based exposure assessment exercise incorporating quantitative and semiqualitative elements of data collection, and qualitative semi-structured interviews with exposure assessors. Qualitative data were analyzed using thematic analysis. RESULTS: Twenty-five experts completed the web-based exposure assessment exercise and 8 of these 25 were randomly selected to participate in the follow-up interview. Familiar key themes relating to the exposure assessment exercise emerged; 'intensity'; 'probability'; 'agent'; 'process'; and 'duration' of exposure. However, an important aspect of the detailed follow-up interviews revealed a lack of structure and order with which participants described their decision making. Participants mostly described some form of an iterative process, heavily relying on the anchoring and adjustment heuristic, which differed between experts. CONCLUSION: In spite of having undertaken comparable training (in occupational hygiene or exposure assessment), experts use different methods to assess exposure. Decision making appears to be an iterative process with heavy reliance on the key heuristic of anchoring and adjustment. Using multiple experts to assess exposure while providing some form of anchoring scenario to build from, and additional training in understanding the impact of simple heuristics on the process of decision making, is likely to produce a more methodical approach to assessment; thereby improving consistency and transparency in expert exposure assessment.

It's difficult, but important, to make negative predictions.

At the confluence of predictive and regulatory toxicologies, negative predictions may be the thin green line that prevents populations from being exposed to harm. Here, two novel approaches to making confident and robust negative in silico predictions for mutagenicity (as defined by the Ames test) have been evaluated. Analyses of 12 data sets containing >13,000 compounds, showed that negative predictivity is high (∼90%) for the best approach and features that either reduce the accuracy or certainty of negative predictions are identified as misclassified or unclassified respectively. However, negative predictivity remains high (and in excess of the prevalence of non-mutagens) even in the presence of these features, indicating that they are not flags for mutagenicity.

Agreement of experts and non-experts in a desktop exercise evaluating exposure to asthmagens in the cotton and textile, and other industries.

In the absence of personal exposure measurements, expert assessment, generally on a case-by-case basis, is often used to estimate exposures. However, the decision processes of individual experts when making assessments are unknown, making it difficult to assess the quality of these assessments or to compare different assessments to each other. We conducted a study in primarily the textile and cotton industries, but also in baking, metal work, and agriculture industries in which we assessed agreement between experts assessing intensity and probability of exposure in the absence of exposure measurements to compare how well their performance compares to agreement of non-desktop-based exercises reported in literature. In addition, agreement was compared with that of non-experts undertaking the same exercise, and results were further stratified to assess the impact of factors expected of affected assessments. Intraclass correlation coefficients of absolute agreement (ICC1) and consistency (ICC3) between raters were calculated. Sensitivity and specificity were estimated using a probabilistic simulation methodology developed previously. Fourteen occupational hygienists and exposure assessors with complete data for all 48 job descriptions and 8 non-experts participated. Although confidence intervals about correlation-coefficient differences are not reported, the individual limits were found to be so broad as to suggest that no statistically significant comparisons can be made. Nevertheless, preliminary observations are presented here as suggested by the computed means. Absolute agreement between expert raters was fair-good, but was somewhat better for intensity (ICC1 = 0.61) than for probability (ICC1 = 0.44) of exposure and was better for experts than non-experts. Estimated sensitivity was 0.95 and specificity 0.82 for intensity, and 0.91 and 0.78 for probability of exposure, respectively. Stratification for factors hypothesized to affect agreement did not show statistically significant differences, but consistent patterns of point estimates indicated that agreement between raters (both expert on non-experts) dropped for medium levels of information compared with little or extensive information. Inclusion of a photo or video generally improved agreement between experts but not between non-experts, whereas the year of the job description had no influence on the assessments. These data indicate that the desktop exposure assessment exercise was of similar quality to previously reported levels of agreement. Agreements between experts' assessments were independent of the time period of the job and can be improved by inclusion of visual material. Agreement between experts as well as the non-experts does not increase with the detail of provided job information.

Validity of expert assigned retrospective estimates of occupational polychlorinated biphenyl exposure.

Assessment of retrospective exposures based on expert judgment in case-control studies is usually of unknown validity because of the difficulty in finding gold standards for comparison. We investigated the relationship between expert-assigned retrospective occupational polychlorinated biphenyl (PCB) exposure estimates and serum PCB concentrations. Analyses were conducted on a subset of cases (n = 94) and controls (n = 96) in the multi-center National Cancer Institute, Surveillance, Epidemiology, and End Results Case-Control Study of non-Hodgkin lymphoma. Based on the subjects' lifetime work histories, an industrial hygienist assigned each job a probability of PCB exposure [<5% (unexposed), 5-<50% (possibly exposed), ≥50% (probably exposed)]. Ordinary least squares regression was used to investigate associations between the probability rating and log-transformed lipid-adjusted serum levels of 14 PCB congeners and total PCBs (ΓPCBs). Compared to unexposed participants (n = 163), those with a probably exposed job (n = 7) had serum levels that were 87% higher for ΓPCBs (95% confidence interval: 1.33-2.62) and 38% of serum level variability was explained by the probability rating. Statistically significant associations between probability ratings and serum levels for 12 of 14 individual congeners were also observed. In summary, the observed contrast in PCB serum levels by probability rating provides support for the occupational PCB exposure assessment.

Concurrent validity of objective assessment by finger tracking for open surgical suturing training.

BACKGROUND: The aim of this study is to evaluate whether the parameters 'time' and 'distance', measured by SurgTrac, correlate with the assessment of the same skills by blinded experts. METHODS: Basic open suturing tasks were executed by medical students. SurgTrac software measured objective parameters by tracking fingers. The executed tasks were recorded by a tablet and additionally assessed by a blinded expert with a Competency Assessment Tool-form (CAT-form). A Pearson's correlation was used to investigate the correlation between the parameters and the outcomes of the expert assessment. RESULTS: A strong correlation between the measured parameters of SurgTrac and the expert-assessment was found for knot tying by hand (r â€‹= â€‹-0.703) and vertical mattress suture (r â€‹= â€‹-0.644) and a moderate correlation for transcutaneous suture (r â€‹= â€‹-0.555) and intracutaneous suture (r â€‹= â€‹-0.451). CONCLUSION: The use of finger tracking by SurgTrac showed a good concurrent validity for the basic open suturing tasks knot tying by hand, transcutaneous suture and vertical mattress suture.

Quantifying lies in medical expert assessment.

Although lying is ubiquitous and present in all fields, there are very few medical references dealing with this subject. The aim of this study is to quantify and qualify lying in medical expert assessment. It is a retrospective study of 32 medical expert assessment cases, separated into two groups. The first analyses 16 people who were the subject of a judicial expert assessment. The second concerns a mandated consultant for insurances or mediation. The results appear to be influenced, essentially, in both groups, by the presence of an initial false diagnosis which is itself the main reason for the medical expert assessment, and by psychiatric disorders requiring treatment with psychotropic drugs. Intentional fraud appeared to be in the minority.

[Fitness to drive with glaucoma]. / Verkehrstauglichkeit beim Glaukom.

Glaucoma is one of the eye diseases that are particularly relevant to driving in old age. The ophthalmologist often has to take on the task of traffic medical consultation or medical appraisal. It is essential to distinguish between fitness to drive and driving ability or driving safety and driving capability. The medical examination of fitness to drive can only be carried out over long intervals and basically requires an ophthalmological examination in compliance with all the requirements of the driving license ordinance. This is not a healthcare task. In the case of clarification of the fitness to drive in people with known glaucoma on behalf of the test persons themselves or a driving license authority, visual field testing must be performed using manual kinetic perimetry according to Goldmann, especially for all borderline case decisions by traffic experts. The ophthalmologist faces the particular difficulty of maintaining a balance between the legal duty of care and patient-centered care in order not to strain the patient-physician relationship.

Optimising a landscape visual quality protocol. A Method for reducing respondent fatigue and obtaining site-specific indicators.

Evaluation of landscape visual quality is crucial for policymaking and planning but is still challenging. A wide range of visual assessment protocols is available, but there is still no consensus on appropriate indicators or approaches. Also, evaluation protocols can encompass many indicators, being exhaustive and complex and making the evaluation lengthy. Furthermore, protocols tend to be catered to a particular type of landscape or site-specific, and it can be tricky to ensure the protocol developed is adequate for the landscape under study. This paper proposes a methodology to optimise the selection of indicators for landscape visual assessments. There are two main goals: i) reduce the evaluation time to avoid respondent fatigue, and ii) make the protocol site-specific, choosing indicators that perform better and avoiding redundant indicators. •The presented method optimises the selection of indicators in expert visual assessments;•Indicators are rated in situ on a 5-point scale and go through a performance and redundancy test;•It helps to adapt complex evaluation protocols to the study landscape and to choose robust indicators in a supported and scientific way.

Identifying measures with the highest potential to reduce suicides on Finnish railways.

The purpose of this study was to work systematically through all known measures for preventing railway suicides and to consider their suitability for the Finnish railway environment. The research method included a selection and grouping of measures, definition of assessment criteria, a literature review and compilation of assessment forms, and a workshop for experts in the field. We assessed 21 measures based on 12 specified criteria. Specifically, the aim of these criteria was to support the identification and structuring of the available information on each measure to be in easily exploitable format for railway stakeholders. The measures were listed in order of priority in three categories based on final assessments from the workshop. The measures categorised as top priority with the highest potential to reduce suicides on Finnish railways included training of railway personnel to identify suicidal people (also called Gatekeeper training), camera surveillance, detection systems (radar, movement sensors, etc.), collaboration between organisations, learning from international experience, cooperation between railway organisations, police and fire and rescue services, and training of mental health providers. This prioritisation, together with the information included in the assessment forms and expert's views related to each measure, support the Finnish railway stakeholders in selecting measures and defining implementation strategies to prevent railway suicides on Finnish railways. The insights of Finnish experts on the effectiveness and potential implementation of these different measures are valuable information also for railway stakeholders in other countries when selecting appropriate measures to prevent railway suicides. The results of this study support the safe and effective functioning of the railway system by adding knowledge that will help effectively prevent railway suicides and loss of life, delays to train traffic, and work-related stress and trauma to railway staff, rescue personnel and eyewitnesses.