↓ Skip to main content

Clinical Cancer Registries - Are They Up for Health Services Research?

Overview of attention for article published in this source, January 2016
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
29 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Clinical Cancer Registries - Are They Up for Health Services Research?
Pubmed ID
Authors

Monika Pobiruchin, Sylvia Bochum, Uwe M Martens, Wendelin Schramm

Abstract

Clinical cancer registries are a valuable data source for health services research (HSR). HSR is in need of high quality routine care data for its evaluations. However, the secondary use of routine data - such as documented cancer cases in a disease registry - poses new challenges in terms of data quality, IT-management, documentation processes and data privacy. In the clinical cancer registry Heilbronn-Franken, real-world data from the Giessen Tumor Documentation System (GTDS) was utilized for analyses of patients' disease processes and guideline adherence in follow-up care. A process was developed to map disease state definitions to fields of the GTDS database and extract patients' disease progress information. Thus, the disease process of sub-cohorts could be compared to each other, e.g., comparison of disease free survival of HER2 (human epidermal growth factor receptor 2)-positive and -negative women who were treated with Trastuzumab, a targeted therapy applied in breast cancer. In principle, such comparisons are feasible and of great value for HSR as they depict a routine care setting of a diverse patient cohort. Yet, local documentation practice, missing flow of information from external health care providers or small sub-cohorts impede the analyses of clinical cancer registries data bases and usage for HSR.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Master 4 14%
Student > Bachelor 3 10%
Student > Postgraduate 2 7%
Lecturer > Senior Lecturer 1 3%
Other 2 7%
Unknown 10 34%
Readers by discipline Count As %
Medicine and Dentistry 7 24%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Engineering 2 7%
Economics, Econometrics and Finance 2 7%
Computer Science 1 3%
Other 3 10%
Unknown 12 41%