scholarly journals Population-based cancer survival in the United States: Data, quality control, and statistical methods

Cancer ◽  
2017 ◽  
Vol 123 ◽  
pp. 4982-4993 ◽  
Author(s):  
Claudia Allemani ◽  
Rhea Harewood ◽  
Christopher J. Johnson ◽  
Helena Carreira ◽  
Devon Spika ◽  
...  
Keyword(s):  
United States ◽  
Quality Control ◽  
Data Quality ◽  
Statistical Methods ◽  
Cancer Survival ◽  
The United States ◽  
Population Based ◽  
Data Quality Control ◽  
States Data

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
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Intensive Care ◽  
Data Collection ◽  
Data Quality ◽  
Neonatal Intensive Care ◽  
The United States ◽  
Data Quality Control ◽  
Research Activities ◽  
Address Data

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.

scholarly journals The impact of National Death Index linkages on population-based cancer survival rates in the United States

2013 ◽  
Vol 37 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Christopher J. Johnson ◽  
Hannah K. Weir ◽  
Aliza K. Fink ◽  
Robert R. German ◽  
Jack L. Finch ◽  
...  
Keyword(s):  
United States ◽  
Cancer Survival ◽  
Survival Rates ◽  
The United States ◽  
Population Based ◽  
National Death Index ◽  
The Impact

scholarly journals Population-Based Analysis of Demographic and Socioeconomic Disparities in Pediatric CNS Cancer Survival in the United States

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Robert Fineberg ◽  
Shadi Zahedi ◽  
Megan Eguchi ◽  
Muriel Hart ◽  
Myles Cockburn ◽  
...  
Keyword(s):  
United States ◽  
Cancer Survival ◽  
The United States ◽  
Population Based ◽  
Socioeconomic Disparities ◽  
Cns Cancer

scholarly journals Population-based cancer survival (2001 to 2009) in the United States: Findings from the CONCORD-2 study

Cancer ◽  
2017 ◽  
Vol 123 ◽  
pp. 4963-4968 ◽  
Author(s):  
Hannah K. Weir ◽  
Sherri L. Stewart ◽  
Claudia Allemani ◽  
Mary C. White ◽  
Cheryll C. Thomas ◽  
...  
Keyword(s):  
United States ◽  
Cancer Survival ◽  
The United States ◽  
Population Based

scholarly journals Eye Injury Registries: A Review on Key Registry Processes

2021 ◽  
Author(s):  
Farkhondeh Asadi ◽  
Nahid Ramezanghorbani ◽  
Sohrab Almasi ◽  
Mehrnaz Hajiabedin Rangraz
Keyword(s):  
Quality Control ◽  
Data Quality ◽  
The United States ◽  
Vital Role ◽  
Case Finding ◽  
Quality Data ◽  
Care Process ◽  
Eye Injury ◽  
Data Quality Control ◽  
Eye Injuries

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.

Quality Control of Data in a Large-Scale Cancer Register Program

1966 ◽  
Vol 05 (02) ◽  
pp. 67-74 ◽  
Author(s):  
W. I. Lourie ◽  
W. Haenszeland
Keyword(s):  
United States ◽  
Quality Control ◽  
Cancer Patients ◽  
Large Scale ◽  
The United States ◽  
Newly Diagnosed ◽  
Related Data ◽  
Cancer Register ◽  
Independent Review ◽  
End Results

Quality control of data collected in the United States by the Cancer End Results Program utilizing punchcards prepared by participating registries in accordance with a Uniform Punchcard Code is discussed. Existing arrangements decentralize responsibility for editing and related data processing to the local registries with centralization of tabulating and statistical services in the End Results Section, National Cancer Institute. The most recent deck of punchcards represented over 600,000 cancer patients; approximately 50,000 newly diagnosed cases are added annually.Mechanical editing and inspection of punchcards and field audits are the principal tools for quality control. Mechanical editing of the punchcards includes testing for blank entries and detection of in-admissable or inconsistent codes. Highly improbable codes are subjected to special scrutiny. Field audits include the drawing of a 1-10 percent random sample of punchcards submitted by a registry; the charts are .then reabstracted and recoded by a NCI staff member and differences between the punchcard and the results of independent review are noted.

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