scholarly journals Indicators of Data Quality at the Cancer Registry Zurich and Zug in Switzerland

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Miriam Wanner ◽  
Katarina L. Matthes ◽  
Dimitri Korol ◽  
Silvia Dehler ◽  
Sabine Rohrmann
Keyword(s):  
Data Quality ◽  
Childhood Cancer ◽  
Cancer Registry ◽  
Incidence Rates ◽  
Cancer Registration ◽  
Reference Ranges ◽  
Comprehensive Overview ◽  
Non Melanoma Skin Cancer ◽  
The Stability ◽  
Over Time

Data quality is an important issue in cancer registration. This paper provides a comprehensive overview of the four main data quality indicators (comparability, validity, timeliness, and completeness) for the Cancer Registry Zurich and Zug (Switzerland). We extracted all malignant cancer cases (excluding non-melanoma skin cancer) diagnosed between 1980 and 2014 in the canton of Zurich. Methods included the proportion of morphologically verified cases (MV%), the proportion of DCN and DCO cases (2009–2014), cases with primary site uncertain (PSU%), the stability of incidence rates over time, age-specific incidence rates for childhood cancer, and mortality:incidence (MI) ratios. The DCO rate decreased from 6.4% in 1997 to 0.8% in 2014 and was <5% since 2000. MV% was 95.5% in 2014. PSU% was <3% over the whole period. The incidence rate of all tumours increased over time with site-specific fluctuations. The overall M:I ratio decreased from 0.58 in 1980 to 0.37 in 2014. Overall, data quality of the Cancer Registry Zurich and Zug was acceptable according to the methods presented in this review. Most indicators improved over time with low DCO rates, high MV%, low PSU%, relatively low M:I ratios and age-specific incidence of childhood cancer within reference ranges.

Trends in treatment-related deaths (TRDs) in childhood cancer and leukemia over time: A follow-up of patients included in the childhood cancer registry of the Rhône-Alpes region in France (ARCERRA)

2008 ◽  
Vol 50 (6) ◽  
pp. 1213-1220 ◽  
Author(s):  
Fernand Freycon ◽  
Béatrice Trombert-Paviot ◽  
Léonie Casagranda ◽  
Yves Bertrand ◽  
Dominique Plantaz ◽  
...  
Keyword(s):  
Childhood Cancer ◽  
Cancer Registry ◽  
Over Time

scholarly journals Time Trends Analysis of Cervical Cancer Incidence in Cluj County, Romania, Using Data from a Population-Based Cancer Registry

2021 ◽  
Vol 28 (3) ◽  
pp. 1706-1717
Author(s):  
Radu-Mihai Ignat ◽  
Daniela Coza ◽  
Patricia Ignat ◽  
Radu-Ion Badea ◽  
Ofelia Șuteu
Keyword(s):  
Cervical Cancer ◽  
Data Quality ◽  
Cancer Registry ◽  
Cancer Incidence ◽  
Time Trends ◽  
Screening Program ◽  
Population Based ◽  
Incidence Rates ◽  
Cervical Cancer Incidence ◽  
Annual Percent Change

(1) Background: Romania has one of the highest cervical cancer incidence rates in Europe. In Cluj County, the first screening program was initiated in 1998. We aimed to investigate the time trends of cervical cancer incidence in women from Cluj County and to evaluate the data quality at the Cancer Registry. (2) Methods: We calculated time trends of standardized incidence rates in the period 1998–2014 and the Annual Percent Change (APC%). To assess data quality, we used the indicators: mortality/incidence ratio (M/I), percentage of cases declared only at death (DOD%), and percentage of cases with pathological confirmation (PC%). (3) Results: The standardized incidence rate increased steadily, from 23.74 cases/100,000 in 1998, to 32/100,000 in 2014, with an APC% of 2.49% (p < 0.05). The rise in incidence affected both squamous cell carcinoma (APC% 2.49%) (p < 0.05) and cervical adenocarcinoma (APC% 10.54%) (p < 0.05). The M/I ratio was 0.29, DOD% 2.66%, and MC% 94.8%. The last two parameters are within the silver standard concerning data quality. (4) Conclusions. Our study revealed an ascending trend of cervical cancer incidence, more consistent for adenocarcinoma, in the context of a newly introduced screening program and partially due to the improvement of the quality of case reporting at the Cancer Registry from Cluj.

scholarly journals A COMPARISON OF THE CANCER INCIDENCE RATES BETWEEN THE STATE CANCER STATISTICS AND CANCER REGISTRY DATA IN THE RUSSIAN FEDERATION

2019 ◽  
Vol 18 (5) ◽  
pp. 5-11
Author(s):  
G. V. Petrova ◽  
O. P. Gretsova ◽  
V. V. Starinsky
Keyword(s):  
Cancer Registry ◽  
Cancer Incidence ◽  
Incidence Rates ◽  
The State ◽  
Registry Data ◽  
Cancer Registration ◽  
Registration System ◽  
Cancer Statistics ◽  
Cancer Registry Data ◽  
Cancer Incidence Rates

The purpose of the study was to compare data on the cancer incidence rates for 2016 between the official reports on cancer statistics and federal cancer registry, collected in December 2018.Material and Methods. The study estimated the total data on 18 parameters from 35 regions of Russia, covering 66.3 million people (2016). The database of the Russian cancer registry and the database containing reports on the state cancer statistics were used. The cancer statistics/cancer registry ratio was assessed.Results. No differences in cancer incidence between the official reports on cancer statistics and cancer registry data were found. In the official reports on cancer statistics, the mortality rate, the proportion of posthumously recorded patients per 100 newly diagnosed, the proportion of deaths from diseases not related to cancer per 100 deceased patients, the cancer prevalence and the prevalence rate of unspecified malignant tumors were slightly reduced (to 10 %, 9 %, 5 %, and 4 %, respectively), and the rate of cancer detection, the proportion of histologically verified diagnoses and the proportion of cancers detected in stage III were increased (to 19 %, 10 % and 14 %, respectively) compared to those in cancer registry data.Conclusion. Improvement in the quality and completeness of information about cancer patients is associated rather with increasing the annual report length than with the need to improve the cancer registration system itself.

scholarly journals Quality of Cancer Registry Data: Botswana Experience, Demonstrating Improvements Over Time

2016 ◽  
Vol 2 (3_suppl) ◽  
pp. 43s-43s
Author(s):  
Malebogo Pusoentsi ◽  
Bame P. Shatera ◽  
Setlogelo Motlogi ◽  
Tuduetso Monagen ◽  
Neo Tapela ◽  
...  
Keyword(s):  
Data Quality ◽  
Cancer Registry ◽  
Death Certificate ◽  
Kaposi Sarcoma ◽  
Cancer Registries ◽  
Health Systems Strengthening ◽  
Registry Data ◽  
Cancer Registry Data ◽  
Over Time

Abstract 69 Background: One of the challenges to addressing the growing burden of cancer in low- and middle-income countries is insufficient data and limitations in quality of cancer registries. The Botswana National Cancer Registry (BNCR), first established in 1999, is an IARC-endorsed population-based registry covering a population of 2.1 million. Here we assess BNCR's data quality over time. Methods: We conducted a retrospective review of BNCR data that was collected between January 1, 2005 and December 31, 2010. We assessed basis of cancer diagnosis, as well as key data quality indices (completeness, consistency, uniqueness, and accuracy) over two time periods: 2005–2007 and 2008–2010. We assessed cancer incidence and distribution during this time period, and reviewed Botswana Ministry of Health operational documents to identify major health care initiatives that may have had a bearing on cancer registry data quality. Results: In total, 8,938 cancer cases were registered 2005-2010. Kaposi sarcoma was the most commonly diagnosed cancer (n=1766, 19.4%), followed by cervical cancer (n=1252, 13.8%) and then breast cancer (n=801, 8.8%). During 2005-2007, 79% of all cancers were morphologically verified and 6% of were verified by death certificate alone. By 2008-2010, 89% of cancers were morphologically verified while none (0%) were verified by death certificate alone. There was a marked difference for basis of Kaposi sarcoma diagnosis (26% in 2005-2007, 43.8% 2008-2010), which changed from mainly clinical to pathology-based diagnosis. Factors that have contributed to this improvement include targeted initiatives such as clinician training, as well as broader health system developments such as general laboratory diagnostic capacitation that has facilitated use of histopathology services for cancer. Conclusion: BNCR data quality has improved over the years. These improvements enhance utility of cancer registry data for healthcare planning, and highlight the merit of cross-cutting health systems strengthening developments. This assessment, and the initiatives that have contributed to BNCR data improvement may be relevant to cancer registries in similar settings. AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST: No COIs from the authors.

Childhood cancer registration in New Zealand: A registry collaboration to assess and improve data quality

2018 ◽  
Vol 55 ◽  
pp. 104-109 ◽  
Author(s):  
Kirsten R. Ballantine ◽  
Susan Hanna ◽  
Scott Macfarlane ◽  
Peter Bradbeer ◽  
Lochie Teague ◽  
...  
Keyword(s):  
New Zealand ◽  
Data Quality ◽  
Childhood Cancer ◽  
Cancer Registration ◽  
Improve Data Quality

scholarly journals Challenges in linking administrative data for monitoring bloodstream infection in neonatal units in England and Wales

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Caroline Fraser ◽  
Ruth Gilbert ◽  
Ruth Blackburn ◽  
Berit Muller-Pebody ◽  
Katie Harron
Keyword(s):  
Data Quality ◽  
Multiple Imputation ◽  
Bloodstream Infection ◽  
Incidence Rates ◽  
Infection Surveillance ◽  
Probabilistic Linkage ◽  
Linkage Method ◽  
The Impact ◽  
Over Time

Monitoring risk-adjusted trends of neonatal bloodstream infection is vital and linkage of neonatal electronic health records to national infection surveillance enables this. We demonstrate why changes in data quality over time must be accounted for to minimise spurious findings. First, we evaluated the impact of changes in identifier completeness over time in each database, and determined variation in infection rates according to linkage method (deterministic linkage on NHS number or probabilistic linkage). Second, we will use multiple imputation when link status cannot be determined due to missing identifiers. Completeness of NHS number in infection surveillance increased from 69% (3,296/4,792) in 2010 to 92% (3,037/3,307) in 2017. We linked 12,003 neonatal admissions to 15,571 infection episodes (2% of 497,936 admissions and 41% of 37,660 infections). The proportion of links that were deterministic changed from 83% (1,089/1,307) in 2010 to 96% (968/1,008) in 2017. Link status could not be determined for 12,094 infections due to missing identifiers; multiple imputation will be used to determine if any are links. Spurious infection incidence rates can arise from changes in data quality, impacting the quality of linkage to clinical data. Linkage and imputation of missing data minimises spurious findings due to data quality.

scholarly journals Importance of the National Childhood Cancer Registry in the field of paediatric oncology care

2014 ◽  
Vol 155 (19) ◽  
pp. 732-739 ◽  
Author(s):  
Miklós Garami ◽  
Dezső Schuler ◽  
Zsuzsanna Jakab
Keyword(s):  
Childhood Cancer ◽  
Cancer Patients ◽  
Cancer Registry ◽  
Paediatric Oncology ◽  
Treatment Modalities ◽  
Cancer Registration ◽  
Childhood Cancers ◽  
Paediatric Cancer ◽  
Oncology Care

National Childhood Cancer Registry has been operated since 1971 by the Hungarian Paediatric Oncology Network. This Registry collects data on epidemiology, treatment modalities and effectiveness, as well as late follow-up of childhood cancers. An internet-based paediatric cancer registration and communication system for the Hungarian Paediatric Oncology Network has been introduced in April, 2010. The National Childhood Cancer Registry contains data of all paediatric cancer patients (0–18 yrs) who have insurance covered by the Hungarian Social Security Card. Creation (1971) and operation of the National Childhood Cancer Registry have been very important steps in the field of childhood oncology to evaluate the efficiency of paediatric oncology treatments as well as maximize return on medical investment. Orv. Hetil., 2014, 155(19), 732–739.

scholarly journals Trends in incidence of childhood cancer in Canada, 1992–2006

2012 ◽  
Vol 32 (3) ◽  
pp. 131-139 ◽  
Author(s):  
D. Mitra ◽  
A.K. Shaw ◽  
K. Hutchings
Keyword(s):  
Childhood Cancer ◽  
Population Based ◽  
Incidence Rates ◽  
Cancer Registration ◽  
Cancer Type ◽  
Incidence Trends ◽  
Registration Data ◽  
Renal Tumours ◽  
Hepatic Tumours

Introduction Cancer is the leading cause of disease-related death in children aged 1 to 14 years in Canada. Despite the importance to public health of childhood cancer, there have been few reports on Canadian trends published in the peer-reviewed literature. This study examines childhood cancer trends by age, sex, and province of residence using the most current cancer registration data. Methods Data from the population-based Canadian Cancer Registry were used to compute incidence trends in primary cancers diagnosed between 1992 and 2006 in children (0-14 years) for the 12 major diagnostic groups of the International Classification of Childhood Cancer, 3rd edition. Results Between 1992 and 2006, incidence rates for all cancers remained stable, although trends varied by cancer type. We observed a significant decrease in retinoblastoma in boys for the entire period (−6.5% per year) and an increase in leukemia from 1992 to 1999 (+3.5% per year). In girls, there was a significant decrease in renal tumours from 1998 to 2006 (−5.7% per year) and an increase in hepatic tumours from 1997 to 2006 (+8.1% per year). Differences by age and province were also apparent. Some caution should be exercised when interpreting trends involving a small number of cases per year and those with wide 95% confidence intervals. Conclusion Our findings suggest an ongoing need for population-based surveillance and etiologic research.

Childhood Cancer Registry of the Province of Torino: Survival Patterns since 1967 and Update of Incidence Rates

1986 ◽  
Vol 3 (3) ◽  
pp. 195-204 ◽  
Author(s):  
Cuido Pastore ◽  
Corrado Magnani ◽  
Valeria Ghisetti ◽  
Benedetto Terracini ◽  
Maria Luisa Mosso ◽  
...  
Keyword(s):  
Childhood Cancer ◽  
Cancer Registry ◽  
Incidence Rates ◽  
Survival Patterns
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