The Journal of Cancer Education: A Retrospective Review of Quality Indicators

Satcher, Matthew J; Litton, Allison G.; Waterbor, John W.; Brooks, C. Michael

doi:10.1080/08858190802665153

Cited by 4 publications

(3 citation statements)

References 25 publications

(12 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, Leong (1989) conducted a citation analysis to identify attributes of most cited articles in the Journal of Consumer Research . Similarly, Satcher, Litton, Waterbor, and Brooks (2009) performed an analysis of the nature of reference sources cited by authors of articles published in the Journal of Cancer Education . Specifically to journals in psychology, Aylward, Roberts, Colombo, and Steele (2008) used citation analysis to identify the top 100 most highly cited “classic” articles in the Journal of Pediatric Psychology .…”

mentioning

confidence: 99%

Progressive Trends and Impact of the Journal of Career Development

Chaichanasakul

Chen

et al. 2011

Journal of Career Development

View full text Add to dashboard Cite

show abstract

mentioning

confidence: 99%

Progressive Trends and Impact of the Journal of Career Development

Chaichanasakul

Chen

et al. 2011

Journal of Career Development

View full text Add to dashboard Cite

show abstract

“…Quality control in this area is especially concerning, as this information can be subject to considerable pecuniary motivation. The Journal of Cancer Education has published an article on cancer education literature quality indicators [1]. The science/ education interface is rapidly evolving on the Web with more and more research data becoming available online each day and available for almost immediate use in the classroom.…”

Section: Introductionmentioning

confidence: 99%

Multilayer and Multimetric Quality Control: The Supercourse

Linkov

Omenn

Serageldin³

et al. 2010

J Canc Educ

View full text Add to dashboard Cite

Cancer-related presentations are rapidly communicated through thousands of Websites, chat rooms, newsgroups, list servers, newsletters, YouTube, and e-mails, with no specific attention to the validity of the reported findings. Quality control (QC) of cancer education lectures on the Web is an important concern, just like the quality assessment of all information found on the Web. This paper discusses the Supercourse, a global library of 3,600 online lectures available at www.pitt.edu/~super1 and several alternative quality control approaches that are being developed as part of this global effort. Peer review may not be optimal for the review of online lectures because it is labor-intensive and has low throughput. To our knowledge, we are among the first to begin a multilayer and multimetric evaluation approach toward QC (MQC) of PowerPoint lectures on the Web. We hope that future scientific research on peer review as well as on emerging multilayer QC methodologies will help us to determine best measures of QC, especially in the field of rapidly developing cancer education.

show abstract

“…Survival can be easily and reliably measured because the date of diagnosis of invasive cancer is documented in pathology reports and cancer registry abstracts, and date of death is a well-documented vital statistic. Despite these advantages, other than the reporting of national survival data by the Surveillance Epidemiologic End-Result (SEER) program, survival is seldom used as an indicator of continuous quality improvement (CQI) or as a quality assurance (QA) indicator of cancer care [5][6][7][8]. Until efficient, integrated, electronic medical systems are well-established, existing cancer registry data can be used to assess the quality of cancer care for any hospital or hospital system that manages large numbers of cancer patients.…”

Section: Introduction I Survival As a Metric For High Quality Cancer mentioning

confidence: 99%

Cancer Registry Survival Data for Metrics of Continuous Quality Improvement and Quality Assurance

Dillman¹,

McClure²

2020

COR

View full text Add to dashboard Cite

Purpose: The purpose of this article is to illustrate how cancer registry data can be used to address questions of quality assurance and continuous quality improvement, and to generate contemporary cohorts of patients for retrospective studies. The history and purpose of hospital cancer registries is reviewed and examples of use of registry data provided. Methods: Cancer Registry information, manuals, and definitions were reviewed. The 25-year experience of the lead author in collaborating with registrars and using the cancer registry of a large community hospital in southern California is described. The strengths and weaknesses of such data are discussed. Examples of completed studies are provided to illustrate how such data was organized, analyzed, and presented to physicians and administrators, and for peer reviewed publications. Results: The strengths of such data are the large numbers of patients, validity of date of diagnosis, histologic diagnosis, general stage, and date of death. The major limitations of the data are due to incomplete reporting of specific treatment regimens, especially after the initial 4-month period of management. The quality assurance and quality improvement studies generated proved to be of great interest to local physicians and administrators. Several such studies were used in peer-reviewed publications. The interest and job satisfaction of registrars, and data quality all improved when registry data was being used and reported locally rather than merely being submitted to a national data repository. Conclusion: In the absence of comprehensive integrated medical care data bases, high-quality cancer registries can be used to address local issues related to quality improvement and quality assurance and provide data for peer-reviewed publications.

show abstract

The Journal of Cancer Education: A Retrospective Review of Quality Indicators

Cited by 4 publications

References 25 publications

Progressive Trends and Impact of the Journal of Career Development

Progressive Trends and Impact of the Journal of Career Development

Multilayer and Multimetric Quality Control: The Supercourse

Cancer Registry Survival Data for Metrics of Continuous Quality Improvement and Quality Assurance

Contact Info

Product

Resources

About