Current Data Collection Systems Research Articles

Centering patient perspectives to achieve injury-related health equity in trauma care systems: Improving trauma registry data

BackgroundLimitations in current data collection systems for patients who experience traumatic injury limit researchers’ ability to identify and address disparities in injury and outcomes. We sought to develop and test a patient-centered data-collection system for equity-related data indicators that was acceptable to racially and ethnically diverse patients being treated for traumatic injuries. MethodsHealth equity indicators included in this study were race and ethnicity, language, education, employment, housing, and injury address. We conducted interviews with 245 racially and ethnically diverse trauma patients who were treated at a level-1 trauma center in the US in 2019–2020. We first interviewed 136 patients to develop a culturally resonant process and options for the health equity indicators to be added to a revised data collection system for the electronic medical record. English and Spanish interviews were audio-recorded and transcribed verbatim; qualitative analysis was used to assess patient preferences. We then pilot tested the revised data collection system with an additional 109 trauma patients to assess acceptability. Acceptability was defined as having more than 95% of participants self-identify with one of the proposed options for race/ethnicity, language, education, employment, and housing. Injury address (to identify geographic disparities) was pre-defined as acceptable if at least 85% of participants could identify exact address, cross streets, a landmark or business, or zip code of injury. ResultsA revised data collection system, including culturally resonant indicators and a process to be used by patient registrars to collect health equity data, was pilot tested, refined, and considered acceptable. Culturally resonant question phrasing/answer options for race/ethnicity, language, education, employment, housing status, and injury address were identified as acceptable. ConclusionsWe identified a patient-centered data collection system for health equity measures with racially and ethnically diverse patients who have experienced traumatic injury. This system has the potential to increase data quality and accuracy, which is critical to quality improvement efforts and for researchers seeking to identify groups most impacted by racism and other structural barriers to equitable health outcomes and effective intervention points.

Leveraging Digital Tools and Crowdsourcing Approaches to Generate High-Frequency Data for Diet Quality Monitoring at Population Scale in Rwanda

Diet quality is a critical determinant of human health and increasingly serves as a key indicator for food system sustainability. However, data on diets are limited, scattered, often project-dependent, and current data collection systems do not support high-frequency or consistent data flows. We piloted in Rwanda a data collection system, powered by the principles of citizen science, to acquire high frequency data on diets. The system was deployed through an unstructured supplementary service data platform, where respondents were invited to answer questions regarding their dietary intake. By combining micro-incentives with a normative nudge, 9,726 responses have been crowdsourced over 8 weeks of data collection. The cost per respondent was < $1 (system set-up, maintenance, and a small payment to respondents), with interactions taking <15 min. Exploratory analyses show that >70% of respondents consume tubers and starchy vegetables, leafy vegetables, fruits, legumes, and wholegrains. Women consumed better quality diets than male respondents, revealing a sex-based disparity in diet quality. Similarly, younger respondents (age ≤ 24 years) consumed the lowest quality diets, which may pose significant risks to their health and mental well-being. Middle-income Rwandans were identified to have consumed the highest quality diets. Long-term tracking of diet quality metrics could help flag populations and locations with high probabilities of nutrition insecurity, in turn guiding relevant interventions to mitigate associated health and social risks.

Manual for reporting on zoonoses and zoonotic agents, within the framework of Directive 2003/99/EC, and on some other pathogenic microbiological agents for information derived from the year 2021

This reporting manual provides guidance to European Union (EU) Member States (MSs) for reporting on zoonoses and zoonotic agents in animals, food and feed under the framework of Directive 2003/99/EC, Regulation (EU) 2017/625, Commission Implementing Regulation (EU) 2019/627 and of Commission Delegated Regulation (EU) 2018/772 and also on the reporting of other pathogenic microbiological agents or contaminants in food. The objective of this manual is to harmonise and streamline reporting by MSs to ensure that the data collected are relevant and comparable for analysis at the European Union (EU) level. This manual covers all the zoonoses and zoonotic agents included under the current data collection system run by the European Food Safety Authority (EFSA). Detailed instructions are provided on the reporting of data in tables and information in text forms. The instructions given relate to the description of the sampling and monitoring schemes applied by the MSs, as well as the monitoring results. Special reference is made to data elements which allow trend watching over time and the analysis of sources at the EU level. This manual is specifically aimed at guiding the reporting of information deriving from the year 2021.

Análise retrospectiva de mordidas de cães no sul da Itália

ABSTRACT: Dog bite is one of the major public health problems involving people worldwide. Although, several studies have investigated this phenomenon in different countries, little information about the incidence of dog bite episodes in Italy is available. We analysed data about dog biting events between 2010 and 2019 provided by the CRIUV, the Regional Reference Centre for Veterinary Urban Hygiene in the largest city of Southern Italy, namely. Naples. We observed severe and profound inconsistencies in the data collection that reveal structural and significant weaknesses of the current data collection system. Given the multifactorial nature of dog bite, we highlight the need to improve the gathering of all the information related to the factors affecting the occurrence of biting episodes for an accurate assessment of the biting phenomenon.

Manual for reporting on zoonoses and zoonotic agents,within the framework of Directive 2003/99/EC, and on some other pathogenic microbiological agents for information derived from the year 2020

This reporting manual provides guidance to Member States (MSs) for reporting on zoonoses and zoonotic agents in animals, food and feed under the framework of Directive 2003/99/EC, Regulation (EU) 2017/625, Commission Implementing Regulation (EU) 2019/627 and of Commission Delegated Regulation (EU) 2018/772 and also on the reporting of other pathogenic microbiological agents or contaminants in food. The objective of this manual is to harmonise and streamline reporting by MSs to ensure that the data collected are relevant and comparable for analysis at the European Union (EU) level. This manual covers all the zoonoses and zoonotic agents included under the current data collection system run by the European Food Safety Authority (EFSA). Detailed instructions are provided onthe reporting of data in tables and information in text forms. The instructions given relate to the description of the sampling and monitoring schemes applied by the MSs, as well as the monitoring results. Special reference is made to data elements which allow trend watching over time and the analysis of sources at the EU level. This manual is specifically aimed at guiding the reporting of information deriving from the year 2020.

Determining child drowning mortality in the Sundarbans, India: applying the community knowledge approach

BackgroundThe Sundarbans in India is a rural, forested region where children are exposed to a high risk of drowning due to its waterlogged geography. Current data collection systems capture few...

Child drowning mortality in the Sundarbans, India: Applying the Community Knowledge Approach

Abstract Background The Sundarbans in India is a rural, forested region where children are exposed to a high risk of drowning due to its waterlogged geography. Current data collection systems capture few drowning deaths in this region due to its remoteness and poor coverage of health and police systems. Household methodology was found to be resource and time intensive, and so a Community Knowledge Approach was used and applied to calculate injury mortality for the first time. Methods A community-based survey was conducted in the Sundarbans to determine the drowning mortality rate for 1-4 and 5-9 year old children. A Community Knowledge Approach was applied. Meetings were held with law community residents and key informants to identify drowning deaths in the population. Identified deaths were verified by the child's household through a structured survey, inquiring on the circumstances around the drowning death. Results The drowning mortality rate for children aged 1-4 years old was 243.8 per 100,000 children and 38.8 per 100,000 children for 5-9-year olds. 58.0% of deaths were of 1-2-year-old children. Most children drowned in ponds within 50 metres of their homes. Children were usually unaccompanied with their primary caretaker engaged in household work. Only one third of deaths were reported to hospitals or civil registration systems. Of deaths listed by community members, 63.0% were identified by both residents and by at least one key informant, 25.6% by key informants only, and 11.4% (n = 79) by community residents only. Conclusions Drowning is a major cause of death among children in the Sundarbans, particularly those aged 1-4 years old. The results illustrate how routine data collection systems grossly underestimate drowning deaths, emphasising the importance of community-based in rural low-and middle-income country contexts. Key messages Drowning is likely the largest killer of 1-9 year old children in the Sundarbans region, emphasising the need to better understanding drowning epidemiology in similar rural LMICs contexts. The Community Knowledge Approach provides a low-resource, valid method for capturing injury mortality data.

Manual for reporting on zoonoses and zoonotic agents,within the framework of Directive 2003/99/EC, and on some other pathogenic microbiological agents for information derived from the year 2019

This reporting manual provides guidance to Member States (MSs) for reporting on zoonoses and zoonotic agents in animals, food and feed under the framework of Directive 2003/99/ECand of Commission Delegated Regulation (EU) 2018/772 and also on the reporting of other pathogenic microbiological agents in food. The objective of this manual is to harmonise and streamline reporting by MSs to ensure that the data collected are relevant and comparable for analysis at the European Union (EU) level. Thismanual covers all the zoonoses and zoonotic agents included under the current data collection system run by the European Food Safety Authority (EFSA). Detailed instructions are provided onthe reporting of data in tables and text in text forms. The instructions given relate to the description of the sampling and monitoring schemes applied by the MSs, as well as the monitoring results. Special reference is made to data elements which allow trend watching over time and the analysis of sources at the EU level. This manual is specifically aimed at guiding the reporting of information deriving from the year 2019.

Traumatic injuries in rural Honduras: A two month pilot study

ObjectivesTrauma is a leading cause of morbidity and mortality worldwide, with a disproportionate burden of illness in low- and middle- income countries. This study sought to provide a proof-of-concept pilot study to evaluate the feasibility of a trauma registry in the Western Honduras Hospital. MethodsA cross-sectional, observation study was performed that included all admitted, transferred, or deceased trauma patients presenting to the Western Honduras Hospital from February 4, 2019 until April 4, 2019. Descriptive statistics were utilized to describe patient demographics and injury characteristics. Results268 patients were enrolled. The average age was 27.5 years (SD ±21.3). 10% of injuries were due to interpersonal violence. The most common mechanisms of injury were falls (33.6%) and motor vehicle collisions (MVCs) (22.4%). The mean Modified Kampala Trauma Score (M-KTS) was 12 (SD ±1.4). The mortality rate was 1.1% (N = 3). 94.5% of data points were complete. ConclusionsA continuous injury surveillance system in the Western Honduras Hospital is feasible and provides valuable information. The data completeness was suboptimal, but the current data collection system may be improved via modifying and utilizing the registry form as both a clinical and data collection instrument.

A Descriptive Study of Data Collection Systems Used in Electroconvulsive Therapy Units in the Province of Quebec, Canada.

This study aimed to describe the data collection systems routinely used by electroconvulsive therapy (ECT) units across the province of Quebec, Canada. We conducted a descriptive, cross-sectional study. Using an online survey, 31 ECT units delivering inpatient or outpatient ECT treatments in the province of Quebec provided information on the data collection systems used, data recorded, data collection strategies, indicators of satisfaction, limitations of the current data collection systems, and expectations toward the improvement of ECT data collection. Most units routinely collected information on individuals receiving ECT treatments, mainly on the medical chart (80%) and in paper format (71%). Most units (88.9%) collected ECT data manually. Electroconvulsive therapy parameters are collected by 66% to 80% of units, but only 16% of them have computerized records. The main limitations of the current systems are as follows: (a) the low frequency of computerization, (b) the underutilization of data, and (c) difficulties in the integration of information from different ECT units. Although 83.3% were satisfied with the current data collection strategies, 80% had a very positive opinion about the development and implementation of an innovative ECT provincial data collection registry. An integrated ECT provincial data collection system could overcome the variability documented in existing strategies and respond to the current provincial needs and expectations. Also, an integrated ECT provincial data collection system could support both clinical research and quality assurance necessary to inform standards of ECT practice in Quebec.

Manual for reporting on zoonoses and zoonotic agents, within the framework of Directive 2003/99/EC, and on some other pathogenic microbiological agents for information derived from the year 2018

This reporting manual provides guidance to Member States (MSs) for reporting on zoonoses and zoonotic agents in animals, food and feed under the framework of Directive 2003/99/EC and also on the reporting of other pathogenic microbiological agents in food. The objective of this manual is to harmonise and streamline reporting by MSs to ensure that the data collected are relevant and comparable for analysis at the European Union (EU) level. This manual covers all the zoonoses and zoonotic agents included under the current data collection system run by the European Food Safety Authority (EFSA). Detailed instructions are provided on the reporting of data in tables and text in text forms. The instructions given relate to the description of the sampling and monitoring schemes applied by the MSs, as well as the monitoring results. Special reference is made to data elements which allow the following of trends and the analysis of sources at the EU level. This manual is specifically aimed at guiding the reporting of information deriving from the year 2018.

Monitoring Traffic Optimization in a Smart Grid

The emergence of microgeneration systems steadily increases, and it raises concerns regarding their impact on the power grid. It is, therefore, crucial to efficiently integrate them into future smart grid architectures, as there is not any standard way to monitor production units. Moreover, current data collection systems are simple and do not consider their impact on local area networks. This paper presents a set of proposed mechanisms that reduces the monitoring traffic, while offering management flexibility on large-scale systems. This study is illustrated with measurements performed on a small grid, and it shows that, for monitoring a photovoltaic production, both 1-min and 1-s intervals provide the same production estimation, while significantly decreasing the associated traffic. It can be reduced even more by aggregating several measurements during a given period before sending them and by using specific mechanisms to ensure reliability. This experiment also helps authors identify best practices for monitoring different equipment based on their behaviors.

PEMBUATAN WEBSITE AKADEMIK PADA SMA YADIKA 2

Academic information system at High School Yadika 2 still done manually. In the data processing is still in the conventional academic with the current data collection system is felt still many shortcomings that happened, because the existing systems still use paper and archival sheet so as to cause the existing data is easily lost or damaged. Development of systems in the form of making a web-based information systems academic at Public High Schools 1 Ngadirojo an information system that provides reports online activity of students in the form of reports student grades and attendance report is concerned with web-based, so it helps the speed and quality in the delivery of information. In addition to the web-based data information can be accessed at a time and place not specified. In this system, the menu can only be accessed by certain users, namely students, teachers and administrators. Information system academic was built using the PHP programming language with database MySql. Expected this System can assist to facilitate the performance of all officer in High School Yadika 2.

Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit

Accidental falls (slips, trips, and falls from height) are the leading cause of occupational death and injury in construction. As a proactive accident prevention measure, near miss can provide valuable data about the causes of accidents, but collecting near-miss information is challenging because current data collection systems can largely be affected by retrospective and qualitative decisions of individual workers. In this context, this study aims to develop a method that can automatically detect and document near-miss falls based upon a worker's kinematic data captured from wearable inertial measurement units (WIMUs). A semi-supervised learning algorithm (i.e., one-class support vector machine) was implemented for detecting the near-miss falls in this study. Two experiments were conducted for collecting the near-miss falls of ironworkers, and these data were used to test developed near-miss fall detection approach. This WIMU-based approach will help identify ironworker near-miss falls without disrupting jobsite work and can help prevent fall accidents.

Evaluation of Swiss Abattoir Data for Integration in a Syndromic Surveillance System

We analysed the meat inspection data collected between 2007 and 2012 in Switzerland for cattle, pigs and small ruminants. The data was evaluated for a potential integration in a syndromic surveillance system. Strong seasonality was observed in both the number of animals slaughtered and condemned. Each type of production animal was associated with different condemnation reasons which could constitute valuable syndromic indicators.The current data collection system offers several interesting advantages for epidemiological surveillance in terms of coverage and traceability back to farms of origin. However, the current lack of timeliness, and under-reporting, limits the use of the data for early-detection.

Vision in an Age of Accountability

A case is presented against a data collection system that is intended to provide increased accountability of teachers, professors and the profession. The utilization of some current data collection systems may in fact jeopardize the integrity of the profession's mission and goals. The cause of concern is the use of the easiest form of data collection (e.g., fitness, skills, math, and science scores) rather than evidence viewing the student as a complex organism that would require a more appropriate and complex assessment system (i.e., “life skills” activity participation and social skills rather than a fitness test). I also note that a focus on increased accountability and simplified data collection provides the impetus that research in higher education needs to consider a paradigm shift to be more collaborative and holistic. In presenting these issues, I note that the vision of Delphine Hanna was similar, specifically more collaborative, more holistic, and more humanistic in making scholarly and professional decisions.

Classification of Airborne Lidar Data by Echo

With the continuous development of Airborne Lidar hardware, the current data collection system will not only collect information on a single echo, multiple echo information also can be available. Through the analysis and discussion of echo principle, this paper compares and elaborates the characteristics of single-echo and multiple echo information, and introduces a filter classification method based on echo information, and illustrates that the method is simple and effective according to an example.

Classification of Airborne Lidar Data by Echo

With the continuous development of Airborne Lidar hardware, the current data collection system will not only collect information on a single echo, multiple echo information also can be available. Through the analysis and discussion of echo principle, this paper compares and elaborates the characteristics of single-echo and multiple echo information, and introduces a filter classification method based on echo information, and illustrates that the method is simple and effective according to an example.

Geographical variation in certification rates of blindness and sight impairment in England, 2008–2009

ObjectivesTo examine and interpret the variation in the incidence of blindness and sight impairment in England by PCT, as reported by the Certificate of Vision Impairment (CVI).DesignAnalysis of national certification...

Applying radial basis function neural networks to estimate next-cycle production rates in tunnelling construction

To better cater to tunnel construction productivity studies, the present research extends time series analysis by accounting for additional critical state variables of the tunnelling construction system which represent geological factors and operation delay factors. Those state variables are readily assessed at the end of each tunnelling cycle or can be easily obtained from the actual data recorded in current data collection systems. Radial basis function (RBF) neural networks (NN) provide the accuracy, flexibility and efficiency in mapping complex non-linear relationships between system states and system outputs at consecutive time events. Using data obtained from a tunnel project in Hong Kong, a case study of applying the RBF-based time series analysis for estimating next-cycle production rates was conducted. Identification of those additional state variables for rock tunnel construction by the “drill and blast” method is elaborated. The RBF NN model is retrained at the end of each cycle with the most recent data added to the NN training set. The updated RBF NN model is then used to assist tunnel engineers in estimating the production rate on the immediately following cycle.