-
Journal of Registry Management 2023The past several years have been marked by substantial growth in pediatric cancer data and collection across the world. In the United States, multiple projects and...
The past several years have been marked by substantial growth in pediatric cancer data and collection across the world. In the United States, multiple projects and standard setters have laid a foundation for the growth of this data, and the need for an overview and explanation of a few of the programs directly relevant to cancer registrars has become apparent. This article will discuss 3 initiatives that highlight many of the efforts and intricacies involved with the collection of pediatric cancer data in the cancer registry world: the National Childhood Cancer Registry, the Toronto Pediatric Cancer Stage Guidelines, and the Pediatric Site-Specific Data Items Work Group.
Topics: Child; Humans; United States; Neoplasms; Registries; Neoplasm Staging; Data Management; Data Collection
PubMed: 37941745
DOI: No ID Found -
American Journal of Public Health Jan 2024
Topics: Humans; Female; Male; Child; Gender Identity; Sexual Behavior; Data Collection; Sexual and Gender Minorities
PubMed: 37856729
DOI: 10.2105/AJPH.2023.307448 -
The Veterinary Record Jul 2023
Topics: Animals; Censuses; Developing Countries; Data Collection
PubMed: 37477315
DOI: 10.1002/vetr.3304 -
Physical Therapy in Sport : Official... Nov 2023This study aimed to examine injury surveillance practices in a variety of university sports teams and barriers and facilitators for injury data collection and...
OBJECTIVES
This study aimed to examine injury surveillance practices in a variety of university sports teams and barriers and facilitators for injury data collection and utilisation.
DESIGN
Cross-sectional study.
SETTING
University sports teams in Japan.
PARTICIPANTS
Medical, coaching, and other staff (non-medical/-coaching staff) of the university sports teams in Japan.
MAIN OUTCOME MEASURES
The survey included 31 questions that examined the barriers and facilitators for injury data collection, and the type of data on injury and exposure collected.
RESULTS
Injury data were collected during matches for 69 teams (48.3%) and training for 61 teams (42.7%). Injuries were primarily captured by athletic trainers in teams with medical staff, coaching staff and athletes in teams without medical staff. Common barriers in collecting and utilising injury data included limited funding for trained personnel and lack of time for medical staff to record data. Facilitating factors included clarification of the methods employed in recording and utilising injury data for teams with medical staff and the deployment of trained personnel to record injuries for teams without medical staff.
CONCLUSIONS
Approximately half of the Japanese university teams collected injury data. Considering barriers and facilitators is crucial to facilitate the collection and utilisation of injury data.
Topics: Humans; Universities; Athletic Injuries; Schools; Cross-Sectional Studies; Brain Concussion; Sprains and Strains; Students; Sports; Athletes; Incidence; Surveys and Questionnaires
PubMed: 37748250
DOI: 10.1016/j.ptsp.2023.09.003 -
BMC Medical Research Methodology Aug 2023Epidemiologic and medical studies often rely on evaluators to obtain measurements of exposures or outcomes for study participants, and valid estimates of associations...
BACKGROUND
Epidemiologic and medical studies often rely on evaluators to obtain measurements of exposures or outcomes for study participants, and valid estimates of associations depends on the quality of data. Even though statistical methods have been proposed to adjust for measurement errors, they often rely on unverifiable assumptions and could lead to biased estimates if those assumptions are violated. Therefore, methods for detecting potential 'outlier' evaluators are needed to improve data quality during data collection stage.
METHODS
In this paper, we propose a two-stage algorithm to detect 'outlier' evaluators whose evaluation results tend to be higher or lower than their counterparts. In the first stage, evaluators' effects are obtained by fitting a regression model. In the second stage, hypothesis tests are performed to detect 'outlier' evaluators, where we consider both the power of each hypothesis test and the false discovery rate (FDR) among all tests. We conduct an extensive simulation study to evaluate the proposed method, and illustrate the method by detecting potential 'outlier' audiologists in the data collection stage for the Audiology Assessment Arm of the Conservation of Hearing Study, an epidemiologic study for examining risk factors of hearing loss in the Nurses' Health Study II.
RESULTS
Our simulation study shows that our method not only can detect true 'outlier' evaluators, but also is less likely to falsely reject true 'normal' evaluators.
CONCLUSIONS
Our two-stage 'outlier' detection algorithm is a flexible approach that can effectively detect 'outlier' evaluators, and thus data quality can be improved during data collection stage.
Topics: Humans; Computer Simulation; Algorithms; Data Collection; Risk Factors; Data Accuracy
PubMed: 37528402
DOI: 10.1186/s12874-023-01988-4 -
NASN School Nurse (Print) Jan 2024This is the second in a series of articles looking at school health data collection from identification of data points to utilizing data to share your story and submit...
This is the second in a series of articles looking at school health data collection from identification of data points to utilizing data to share your story and submit your data to contribute to the National School Health Data Set: Every Student Counts! This article focuses on using data to share your story. Data storytelling versus data visualization will be discussed as well as schools nurses can utilize easy access programs to support this process. Building on the first article in the series, the school nurse will not only identify the and related to data collection but also to link school health data to educational data to increase the audience of the story and follow data sharing regulations.
Topics: Humans; School Nursing; Information Dissemination; Schools; Students; Data Collection
PubMed: 37997345
DOI: 10.1177/1942602X231214247 -
The American Journal of Nursing Aug 2023Research into sickle cell disease (SCD), which disproportionately affects historically underserved ethnic and racial groups, lacks funding and resources. The Centers for...
Research into sickle cell disease (SCD), which disproportionately affects historically underserved ethnic and racial groups, lacks funding and resources. The Centers for Disease Control and Prevention's Sickle Cell Data Collection program is a comprehensive data registry that gathers information about disease prevalence, outcomes, and the type of care patients receive, but it's only currently active in 11 states. This article describes nurses' ethical responsibility to participate in policy work and to advocate for funding for this program, as well as the importance of sharing their perspectives on caring for people who have SCD with legislative representatives.
Topics: Humans; Anemia, Sickle Cell; Data Collection
PubMed: 37498039
DOI: 10.1097/01.NAJ.0000947472.45064.d5 -
BMJ Open Quality Aug 2023This project aimed to address the issue of patients experiencing prolonged fasting periods before undergoing abdominal ultrasound scans in a busy surgical service at our... (Review)
Review
This project aimed to address the issue of patients experiencing prolonged fasting periods before undergoing abdominal ultrasound scans in a busy surgical service at our hospital. A review of in-patient data revealed that 78% of patients were not following the recommended 6 hours fast before the scan. This led to poor patient experiences, prolonged diagnosis and management, and increased costs due to rescheduling of scans. To address this problem, a series of plan-do-study-act (PDSA) cycles were implemented to test different interventions aimed at improving staff awareness and compliance with fasting guidelines. The first PDSA cycle involved displaying a poster with fasting instructions in the doctors and nursing offices. This was followed by increasing awareness of guidelines during meetings and presenting the findings at a teaching session. Each PDSA cycle was followed by data collection to assess the impact of the intervention. The project resulted in an improvement in patient experiences, with 88% of patients being appropriately fasted by the end of the project. The study highlights the importance of using PDSA cycles to test and refine interventions and the positive impact of simple interventions on patient outcomes and clinical workflow.
Topics: Humans; Hospitals; Ultrasonography; Data Collection; Fasting
PubMed: 37541691
DOI: 10.1136/bmjoq-2023-002396 -
PloS One 2023Urban parks have been studied for their effects on health and the environment. Accessing park data from reliable and comparable sources remains challenging, reinforcing...
Urban parks have been studied for their effects on health and the environment. Accessing park data from reliable and comparable sources remains challenging, reinforcing the importance of standardized search tools, notably in Latin America. We designed a systematized methodology to identify processes of accessing, collecting, verifying, and harmonizing urban park spatial data in all Brazilian capitals included in the Urban Health in Latin America (SALURBAL) project. We developed a research protocol using official and non-official sources combining the results of Google Maps (GMaps) points and OpenStreetMap (OSM) polygons-GMaps-OSM. Descriptive analyses included the frequency of the distribution of parks before and after harmonization stratified by data source. We used the intraclass correlation coefficient (ICC) to assess agreement in the area between official and GMaps-OSM data. Official data were obtained for 16 cities; for the remaining 11 capitals, we used GMaps-OSM. After verification and harmonization, 302 urban parks were obtained from official data and 128 from GMaps-OSM. In a sub-study of the 16 cities with official data (n = 302 parks), we simulated a collection of non-official data using GMaps-OSM and OSM only. From GMaps-OSM, we obtained 142 parks, and from OSM, 230 parks. Statistical analysis showed a better agreement between official data and OSM. After completing verification and harmonization, the complete dataset (official and GMaps-OSM) included 430 urban parks with a total area of 145.14 km2. The mean number of parks across cities was 16, with a mean size area of 0.33 km2. The median number of parks was nine, with a median area of 0.07 km2. This study highlights the importance of creating mechanisms to access, collect, harmonize, and verify urban park data, which is essential for examining the impact of parks on health. It also stresses the importance of providing reliable urban park spatial data for city officials.
Topics: Humans; Parks, Recreational; Brazil; Cities; Urban Health; Data Collection; Urban Population
PubMed: 37561781
DOI: 10.1371/journal.pone.0288515 -
Pediatrics Jun 2024
Topics: Humans; Gender Identity; Adolescent; Female; Male; Data Collection; Child; Transgender Persons
PubMed: 38752290
DOI: 10.1542/peds.2024-065932