BACKGROUND: A minority of European countries have participated in international comparisons with high level data on lung cancer. However, the nature and extent of data collection across the continent is simply unknown, and without accurate data collection it is not possible to compare practice and set benchmarks to which lung cancer services can aspire. METHODS: Using an established network of lung cancer specialists in 37 European countries, a survey was distributed in December 2014. The results relate to current practice in each country at the time, early 2015. The results were compiled and then verified with co-authors over the following months. RESULTS: Thirty-five completed surveys were received which describe a range of current practice for lung cancer data collection. Thirty countries have data collection at the national level, but this is not so in Albania, Bosnia-Herzegovina, Italy, Spain and Switzerland. Data collection varied from paper records with no survival analysis, to well-established electronic databases with links to census data and survival analyses. CONCLUSION: Using a network of committed clinicians, we have gathered validated comparative data reporting an observed difference in data collection mechanisms across Europe. We have identified the need to develop a well-designed dataset, whilst acknowledging what is feasible within each country, and aspiring to collect high quality data for clinical research.

• Keywords
• Audit, Data collection, Datasets, Epidemiology, Lung Cancer,
• MeSH
• Databases, Factual statistics & numerical data   MeSH
• Medical Oncology methods   statistics & numerical data   MeSH
• Humans MeSH
• Lung Neoplasms diagnosis   therapy   MeSH
• Data Collection methods   statistics & numerical data   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Europe MeSH

BACKGROUND: By 2030, over 50% of individuals living with bipolar disorder (BD) are expected to be aged ≥50 years. However, older age bipolar disorder (OABD) remains understudied. There are limited large-scale prospectively collected data organized in key dimensions capable of addressing several fundamental questions about BD affecting this subgroup of patients. METHODS: We developed initial recommendations for the essential dimensions for OABD data collection, based on (1) a systematic review of measures used in OABD studies, (2) a Delphi consensus of international OABD experts, (3) experience with harmonizing OABD data in the Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD, n ≥ 4500 participants), and (4) critical feedback from 34 global experts in geriatric mental health. RESULTS: We identified 15 key dimensions and variables within each that are relevant for the investigation of OABD: (1) demographics, (2) core symptoms of depression and (3) mania, (4) cognition screening and subjective cognitive function, (5) elements for BD diagnosis, (6) descriptors of course of illness, (7) treatment, (8) suicidality, (9) current medication, (10) psychiatric comorbidity, (11) psychotic symptoms, (12) general medical comorbidities, (13) functioning, (14) family history, and (15) other. We also recommend particular instruments for capturing some of the dimensions and variables. CONCLUSION: The essential data dimensions we present should be of use to guide future international data collection in OABD and clinical practice. In the longer term, we aim to establish a prospective consortium using this core set of dimensions and associated variables to answer research questions relevant to OABD.

• Keywords
• international collaboration, older age bipolar disorder, prospective studies,
• MeSH
• Bipolar Disorder * diagnosis   epidemiology   therapy   MeSH
• Cognition MeSH
• Humans MeSH
• Prospective Studies MeSH
• Data Collection MeSH
• Aged MeSH
• Practice Guidelines as Topic MeSH
• Aging psychology   MeSH
• Check Tag
• Humans MeSH
• Aged MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH

Smoking, excessive drinking, overeating and physical inactivity are well-established risk factors decreasing human physical performance. Moreover, epidemiological work has identified modifiable lifestyle factors, such as poor diet and physical and cognitive inactivity that are associated with the risk of reduced cognitive performance. Definition, collection and annotation of human reaction times and suitable health related data and metadata provides researchers with a necessary source for further analysis of human physical and cognitive performance. The collection of human reaction times and supporting health related data was obtained from two groups comprising together 349 people of all ages - the visitors of the Days of Science and Technology 2016 held on the Pilsen central square and members of the Mensa Czech Republic visiting the neuroinformatics lab at the University of West Bohemia. Each provided dataset contains a complete or partial set of data obtained from the following measurements: hands and legs reaction times, color vision, spirometry, electrocardiography, blood pressure, blood glucose, body proportions and flexibility. It also provides a sufficient set of metadata (age, gender and summary of the participant's current life style and health) to allow researchers to perform further analysis. This article has two main aims. The first aim is to provide a well annotated collection of human reaction times and health related data that is suitable for further analysis of lifestyle and human cognitive and physical performance. This data collection is complemented with a preliminarily statistical evaluation. The second aim is to present a procedure of efficient acquisition of human reaction times and supporting health related data in non-lab and lab conditions.

• Keywords
• Chronic disease, Cognitive and physical performance, Data acquisition, Data collection, Health related data, Reaction time, Software for data collection,
• Publication type
• Journal Article MeSH

The author discusses the beginning of the systematic collection of data on nationalities and linguistic groups in Czechoslovakia during the eighteenth century. The collection of this type of data was a result of two factors: the need for topographic data by secular and ecclesiastic authorities and the general growth of scientific research. The different types of data collected are also examined. Topographic materials generally dealt with the ethnicity of individual places, while scientific studies focused on global data on nationalities.

• Keywords
• Communication, Cultural Background, Czechoslovakia, Data Collection *, Demographic Factors, Developed Countries, Eastern Europe, Ethnic Groups *, Europe, Geographic Factors, Historical Survey *, Language *, Population, Population Characteristics, Research Methodology,
• MeSH
• Demography MeSH
• Ethnicity * MeSH
• Language * MeSH
• Communication MeSH
• Culture MeSH
• Population MeSH
• Population Characteristics MeSH
• Data Collection * MeSH
• Developed Countries MeSH
• Research MeSH
• Geography MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czechoslovakia MeSH
• Europe MeSH
• Europe, Eastern MeSH

OBJECTIVES: This was the first attempt of the association representing all acute care hospitals in the Czech Republic to collect mutual data which might be used for quality assurance (QA) purposes and which might lead to the development of national standards of care which could be used for hospital accreditation. Data collected included information which was available universally and which could be measured; in addition, information was intended to be similar in each hospital. In most cases, the data collection systems were based on financial information and data had to be identified which might be used for QA purposes, rather than being able to design a system specific for QA purposes. DESIGN: Since the hospital payment system was established in 1992, hospitals have had to develop data collection systems to measure clinical activity; this current study was based on this data collection, adapted to QA purposes. SETTING: The Executive Committee of the Hospital Association agreed to a pilot study of hospitals in 1993; data were collected from approximately 40 hospitals, beginning in 1994. STUDY PARTICIPANTS: Hospitals were chosen based on their ability to collect data and participate in the program, and it was determined that there should be variability in the hospitals, in size, location and activities, but that the data collected should be generic. INTERVENTIONS: Raw data included 33 different items, most of which were irrelevant to QA. Using a computer program, various combinations of data were reviewed and evaluated to ascertain the most appropriate for QA purposes. MAIN OUTCOME MEASURES: Data were chosen for study which included (a) data from the largest departments in the individual hospitals; (b) length of stay for patients hospitalized in these departments; (c) number of occupied beds/physician in the department and (d) mortality/1000 admissions to the department. RESULTS: The combination of (1) a long length of stay; (2) a high occupied bed/doctor ratio; and (3) a high mortality rate/1000 admissions might be indicators of poor quality. Additional factors to consider include: the type of department-emergency, cancer, geriatric, etc.; the nature of the medical activity-acute, referral, primary care, etc.; whether or not "social" beds are included and, generally, comparability among departments. However, as a pilot study, certain indicators can be determined which then can be used for future study to determine quality of care. The ability to cooperate and collect seemingly comparable data indicates reason for optimism in the future; more detailed and accurate studies can be carried out which will enable assessment of the quality of care given in comparable situations in hospitals throughout the Czech Republic.

• MeSH
• Accreditation MeSH
• Length of Stay MeSH
• Medical Staff, Hospital supply & distribution   MeSH
• Humans MeSH
• Hospital Mortality MeSH
• Bed Occupancy MeSH
• Pilot Projects MeSH
• Hospital Administration standards   MeSH
• Data Collection methods   MeSH
• Societies, Hospital MeSH
• Health Services Research MeSH
• Quality Assurance, Health Care organization & administration   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

• Keywords
• Czechoslovakia, Developed Countries, Eastern Europe, Europe, Government Publication *, Population Statistics *, Research Methodology, Sampling Studies, Studies, Surveys *,
• MeSH
• Population Characteristics * MeSH
• Data Collection * MeSH
• Government Publications as Topic * MeSH
• Developed Countries MeSH
• Research MeSH
• Sampling Studies MeSH
• Publication type
• English Abstract MeSH
• Journal Article MeSH
• Geographicals
• Czechoslovakia MeSH
• Europe MeSH
• Europe, Eastern MeSH

Ecological Momentary Assessment (EMA) enables the real-time capture of health-related behaviours, their situational contexts, and associated subjective experiences. This study aimed to evaluate the feasibility of an EMA targeting physical and eating behaviours, optimise its protocol, and provide recommendations for future large-scale EMA data collections. The study involved 52 participants (age 31±9 years, 56% females) from Czechia, France, Germany, and Ireland completing a 9-day free-living EMA protocol using the HealthReact platform connected to a Fitbit tracker. The EMA protocol included time-based (7/day), event-based (up to 10/day), and self-initiated surveys, each containing 8 to 17 items assessing physical and eating behaviours and related contextual factors such as affective states, location, and company. Qualitative insights were gathered from post-EMA feedback interviews. Compliance was low (median 49%), particularly for event-based surveys (median 34%), and declined over time. Many participants were unable or unwilling to complete surveys in certain contexts (e.g., when with family), faced interference with their daily schedules, and encountered occasional technical issues, suggesting the need for thorough initial training, an individualised protocol, and systematic compliance monitoring. The number of event-based surveys was less than desired for the study, with a median of 2.4/day for sedentary events, when 4 were targeted, and 0.9/day for walking events, when 3 were targeted. Conducting simulations using participants' Fitbit data allowed for optimising the triggering rules, achieving the desired median number of sedentary and walking surveys (3.9/day for both) in similar populations. Self-initiated reports of meals and drinks yielded more reports than those prompted in time-based and event-based EMA surveys, suggesting that self-initiated surveys might better reflect actual eating behaviours. This study highlights the importance of assessing feasibility and optimising EMA protocols to enhance subsequent compliance and data quality. Conducting pre-tests to refine protocols and procedures, including simulations using participants' activity data for optimal event-based triggering rules, is crucial for successful large-scale data collection in EMA studies of physical and eating behaviours.

• MeSH
• Exercise * MeSH
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Ecological Momentary Assessment * MeSH
• Surveys and Questionnaires MeSH
• Data Collection * methods   MeSH
• Feeding Behavior * MeSH
• Feasibility Studies MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

INTRODUCTION: A trauma registry is an integral part of any thorough traumatological care conception. The essential task of such a data collection is to provide complex information on conditions, treatment, outcomes and trauma treatment costs, considering a region or other registered part of, usually, a state entity. MATERIAL, METHODOLOGY: Registration of individual trauma characteristics throughout the state territory is a prerequisite for creating a data set, providing information for making valid conclusions applicable for all ranges of human activity. The trauma registry outputs are essential for traffic institutions, police, commercial inspection, commercial and health insurance companies, hospitals, etc. With respect to traffic problematics, the trauma registry plays a significant role in pointing out the most risk places in the region, in assessing the traffic type and use of protective tools. Furthermore, it facilitates exact aiming of preventive and corrective measures. CURRENT CONDITION: Current legislation does not require reporting data to the trauma database, insufficient data are provided by UZIS only. Our Clinic of Paediatric Surgery, Orthopaedics and Traumatology iniciated a model version of the Czech Republic National Trauma Registry. Our activities were approved by and supported by the Society of Traumatologic Surgery. It is a question of time, when sufficient pressure is exerted and the trauma registry becomes an integral part of the traumatological care in the Czech Republic.

• MeSH
• Accidents, Traffic MeSH
• Humans MeSH
• Wounds and Injuries * epidemiology   etiology   MeSH
• Registries * MeSH
• Data Collection MeSH
• Check Tag
• Humans MeSH
• Publication type
• English Abstract MeSH
• Journal Article MeSH
• Geographicals
• Czech Republic epidemiology   MeSH

Understanding animal movement is essential to elucidate how animals interact, survive, and thrive in a changing world. Recent technological advances in data collection and management have transformed our understanding of animal "movement ecology" (the integrated study of organismal movement), creating a big-data discipline that benefits from rapid, cost-effective generation of large amounts of data on movements of animals in the wild. These high-throughput wildlife tracking systems now allow more thorough investigation of variation among individuals and species across space and time, the nature of biological interactions, and behavioral responses to the environment. Movement ecology is rapidly expanding scientific frontiers through large interdisciplinary and collaborative frameworks, providing improved opportunities for conservation and insights into the movements of wild animals, and their causes and consequences.

• MeSH
• Big Data * MeSH
• Spatio-Temporal Analysis MeSH
• Behavior, Animal * MeSH
• Animals, Wild physiology   MeSH
• Ecology * MeSH
• Ecosystem MeSH
• Animal Migration MeSH
• Movement * MeSH
• Data Collection MeSH
• Environment * MeSH
• Animals MeSH
• Check Tag
• Animals MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Review MeSH

The mouse model of monosodium glutamate induced obesity was used to examine and consequently optimize the strategy for analysis of urine samples by NMR spectroscopy. A set of nineteen easily detectable metabolites typical in obesity-related studies was selected. The impact of urine collection protocol, choice of (1)H NMR pulse sequence, and finally the impact of the normalization method on the detected concentration of selected metabolites were investigated. We demonstrated the crucial effect of food intake and diurnal rhythms resulting in the choice of a 24-hour fasting collection protocol as the most convenient for tracking obesity-induced increased sensitivity to fasting. It was shown that the Carr-Purcell-Meiboom-Gill (CPMG) experiment is a better alternative to one-dimensional nuclear Overhauser enhancement spectroscopy (1D-NOESY) for NMR analysis of mouse urine due to its ability to filter undesirable signals of proteins naturally present in rodent urine. Normalization to total spectral area provided comparable outcomes as did normalization to creatinine or probabilistic quotient normalization in the CPMG-based model. The optimized approach was found to be beneficial mainly for low abundant metabolites rarely monitored due to their overlap by strong protein signals.

• Keywords
• Mouse, NMR metabolomics, Obesity, Urine,
• MeSH
• Principal Component Analysis MeSH
• Biomarkers urine   MeSH
• Mice, Inbred Strains MeSH
• Data Interpretation, Statistical MeSH
• Metabolome * MeSH
• Metabolomics methods   MeSH
• Disease Models, Animal MeSH
• Animals, Newborn MeSH
• Nuclear Magnetic Resonance, Biomolecular methods   MeSH
• Obesity metabolism   MeSH
• Specimen Handling MeSH
• Animals MeSH
• Check Tag
• Male MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• Biomarkers MeSH