Database Use in Neonatal Intensive Care Units: Success or Failure

PEDIATRICS ◽  
1992 ◽  
Vol 90 (6) ◽  
pp. 959-965
Author(s):  
Terri A. Slagle ◽  
Jeffrey B. Gould

The purpose of this national survey was to define the extent and features of database use by 445 tertiary level neonatal intensive care nurseries in the United States. Of the 305 centers responding to our survey, 78% had a database in use in 1989 and 15% planned to develop one in the future. Nurseries varied remarkably in the volume of data collected, the amount of time devoted to completing data collection forms, and the personnel involved in data collection. Although data were used primarily for statistical reports (93% of nurseries), quality assurance (73%) and research activities (61%) were also enhanced by database information. Neonatal databases were used to generate reports for the permanent medical record in 38% of centers. Satisfaction with the database was dependent on how useful the database information was to centers which collected and actually used a large volume of information. Overall, nurseries expressed a high degree of confidence in the data they collected, and 65% felt their neonatal database information could be used directly in publication of research. It was disturbing that accuracy of data was not monitored formally by the majority of nurseries. Only 27% of centers followed a routine schedule of data quality assurance, and only 53% had built in error messages for data entry. We caution all who receive database information in the form of morbidity and mortality statistics, clinical reports on patients cared for in neonatal units, and published manuscripts to be attentive to the quality of the data they consume. We feel that future database design efforts need to better address data quality control. Our findings stress the importance and need for immediate efforts to better address database quality control.

Cancer ◽  
2017 ◽  
Vol 123 ◽  
pp. 4982-4993 ◽  
Author(s):  
Claudia Allemani ◽  
Rhea Harewood ◽  
Christopher J. Johnson ◽  
Helena Carreira ◽  
Devon Spika ◽  
...  

1965 ◽  
Vol 8 (02) ◽  
pp. 19-23 ◽  
Author(s):  
Raoul Naroll

An essential feature of the oral history project is the comparability of material once it has been collected. It should be made clear that for comparative analysis it is not essential (although it makes the work easier, if this has already been standardized) for all categories of data collection to be standardized in all countries studied; it is essential only that a full picture of all significant aspects of each movement will be covered--a task, as Professor Blanksten suggests, made easier by some forethought as to which categories should be covered in the interview. We assume that the categories not covered but very important in one or two countries will be recorded there if the interviewers perform their roles adequately. Certainly there are a number of extremely interesting problems that comparison would solve. What are the different speeds with which success or failure of these movements occurs? Why did some simply die out, others become dominant and successful, while still others become separatist tribal groups? If we use Professor Zolberg's categories plus others that turn up in the pilot study, and take account of Professor Cohen's strictures concerning quantification, then some answers may be forthcoming.


Author(s):  
Dilumie Abeysirigunawardena ◽  
Marlene Jeffries ◽  
Michael G. Morley ◽  
Alice O.V. Bui ◽  
Maia Hoeberechts

Author(s):  
Farkhondeh Asadi ◽  
Nahid Ramezanghorbani ◽  
Sohrab Almasi ◽  
Mehrnaz Hajiabedin Rangraz

Background: Data management related to eye injuries is vital in improving care process, improving treatment and implementing preventive programs. Implementation of a registry to manage data is an integral part of this process. This systematic review aimed to identify processes related to eye injury registries. Methods: Databases such as PubMed, Web of Science, Embase and Scopus were used in searching for articles from 2010 to Oct 2020 using the keywords “eye injuries” and” registry”. The identified processes related to eye injuries registry such as case finding, data collection, abstracting, reporting, follow-up and data quality control are presented in this review. Results: Of 1493 articles retrieved, 30 articles were selected for this study based on the inclusion and exclusion criteria. Majority of these studies were conducted in the United States. All registries had case finding and the most common resources for case finding included medical documents, reports and screening results. Moreover, majority of registries collected data electronically. However, few registries used data quality attributes to improve the data collected. Conclusion: Eye injury registry plays an important role in the management of eye injury data and as a result, better management of these data will be established. Taking into consideration that the quality of collected data has a vital role in adopting prevention strategies, it is essential to use high-quality data and quality control methods in planning and designing eye injury registries.


Author(s):  
Antonella D. Pontoriero ◽  
Giovanna Nordio ◽  
Rubaida Easmin ◽  
Alessio Giacomel ◽  
Barbara Santangelo ◽  
...  

2001 ◽  
Vol 27 (7) ◽  
pp. 867-876 ◽  
Author(s):  
Pankajakshan Thadathil ◽  
Aravind K Ghosh ◽  
J.S Sarupria ◽  
V.V Gopalakrishna

2014 ◽  
Vol 926-930 ◽  
pp. 4254-4257 ◽  
Author(s):  
Jin Xu ◽  
Da Tao Yu ◽  
Zhong Jie Yuan ◽  
Bo Li ◽  
Zi Zhou Xu

Traditional artificial perception quality control methods of marine environment monitoring data have many disadvantages, including high labor costs and mistakes of data review. Based on GIS spatial analysis technology, Marine Environment Monitoring Data Quality Control System is established according to the Bohai Sea monitoring regulation. In the practical application process, it plays the role of improving efficiency of quality control, saving the manpower and financial resources. It also provides an important guarantee for the comprehensive analysis and management of marine environment data.


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