Introduction: The nationwide Icelandic Cancer Registry (ICR) was established in 1954 and has been extensively used for research from the outset although formal quality assessment of the registry database has not previously been undertaken. In this paper we report the first formal evaluation of the comparability, validity, timeliness and completeness of the ICR.
Material And Methods: Data from the ICR for the period 1955-2009 (41 994 cancer diagnoses) were used, applying established quantitative and semi-quantitative methods. In order to evaluate the completeness of the ICR, record linkage was performed between the ICR and the population-based Hospital Discharge Registry to identify potential missing cases for tumour diagnoses in 2000 and 2001.
Results: The registration is in accordance with internationally accepted standards. It has high validity, but random variation in rates is prominent in this small population. Record linkage with the Hospital Discharge Registry revealed that in addition to the 2459 cancers registered in 2000-2001, 21 cases were missing, indicating 99.15% completeness. Tumours of the central nervous system constituted 71%, and haematological malignancies 19% of these missing entries.
Discussion: The ICR has high completeness, validity and timeliness and is comparable to the cancer registries of the other Nordic Countries. As cancer registries have many important roles, it is of great importance that their data are at all times as complete and valid as possible. Thus the ICR aims to constantly improve and update the data gathering process.
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http://dx.doi.org/10.3109/0284186X.2012.698751 | DOI Listing |
J Med Internet Res
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Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
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Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.
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View Article and Find Full Text PDFSci Rep
January 2025
School of Electrical and Control Engineering, North China University of Technology, Beijing, China.
This paper proposes a new strategy for analysing and detecting abnormal passenger behavior and abnormal objects on buses. First, a library of abnormal passenger behaviors and objects on buses is established. Then, a new mask detection and abnormal object detection and analysis (MD-AODA) algorithm is proposed.
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Norwegian Veterinary Institute, Elizabeth Stephansens Vei 1, Ås, 1433, Norway.
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View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), 3045-043 Coimbra, Portugal.
Caring for a dependent individual, particularly over an extended period, places significant strain on family caregivers, often leading to adverse physical, mental, emotional, social, and economic outcomes for both caregivers and those they care for. Common challenges include anxiety, depression, loneliness, and diminished overall well-being. E-health applications have emerged as effective tools to support family caregivers by promoting positive mental health through online interventions, enhancing problem-solving skills, autonomy, interpersonal relationships, self-control, and a prosocial attitude.
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