scholarly journals Using the Benford’s Law as a First Step to Assess the Quality of the Cancer Registry Data

2016 ◽  
Vol 4 ◽  
Author(s):  
Emanuele Crocetti ◽  
Giorgia Randi
Keyword(s):  
Cancer Registry ◽  
Registry Data ◽  
Benford’S Law ◽  
Cancer Registry Data ◽  
Benford's Law

scholarly journals Validity of Cancer Registry Data for Measuring the Quality of Breast Cancer Care

2002 ◽  
Vol 94 (11) ◽  
pp. 835-844 ◽  
Author(s):  
J. L. Malin ◽  
K. L. Kahn ◽  
J. Adams ◽  
L. Kwan ◽  
M. Laouri ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Registry ◽  
Cancer Care ◽  
Registry Data ◽  
Breast Cancer Care ◽  
Cancer Registry Data

Utilization of cancer registry data for monitoring quality of care

2011 ◽  
Vol 201 (5) ◽  
pp. 645-649 ◽  
Author(s):  
J. David Beatty ◽  
Mariko Adachi ◽  
Candy Bonham ◽  
Mary Atwood ◽  
Mary S. Potts ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Cancer Registry ◽  
Registry Data ◽  
Cancer Registry Data ◽  
Monitoring Quality

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.

scholarly journals Epidemiology of Female Breast Cancer in West Jakarta, Indonesia

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 65s-65s
Author(s):  
J. Agustina ◽  
D. Sinulingga ◽  
E. Suzanna ◽  
B. Andinata ◽  
R. Ramadhan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Registry ◽  
Population Based ◽  
Female Breast Cancer ◽  
Registry Data ◽  
Quality Data ◽  
Cancer Center ◽  
Cancer Registry Data ◽  
Female Breast

Background: Breast cancer was the most common cancer in the world. GLOBOCAN 2012 estimated the incidence of female breast cancer in Indonesia was 40.3 per 100,000 and the mortality rate was 16.6 per 100,000. In 2016, Dharmais National Cancer Center was appointed as Regional Population Based Cancer Registry in West Jakarta. West Jakarta was a municipality with 2,281,945 populations, being the 2nd largest population in DKI Jakarta Province. Aim: This study was to evaluate the quality of population based cancer registry data and to describe the epidemiology of female breast cancer in West Jakarta, Indonesia during 2008-2012 and to compare with GLOBOCAN 2012 . Methods: We used population based cancer registry data with ICD - O code C50.0-C50.9 in female who live in West Jakarta. The population based cancer registry data were collected in Dharmais National Cancer Center. We evaluated the quality of population based cancer registry data based on WHO-IARC rules for cancer registry data. Results: The quality of population based cancer registry data were microscopic verification (70%); DCO percentage (20.8%), and unknown age (0%). The trend of female breast cancer was increasing during 2008-2012. Age-standardized rate incidence was 19.3 per 100,000. The most of frequent were in 45-49 years old, not other specific location subtopography (81.5%), the histopathology type was ductal and lobular neoplasm (51.8%), in stage III (44%), and with metastases to bone (34%). The average of length of duration was 29.1 months, most of them were unknown of last status contact (84%). Conclusion: The coverage and quality data of West Jakarta population based cancer registry need to be increased and establish a follow-up system to decrease the unknown last contact status of patients.

scholarly journals Is quality of registry treatment data related to registrar experience and workload? A study of Taiwan cancer registry data

2018 ◽  
Vol 117 (12) ◽  
pp. 1093-1100 ◽  
Author(s):  
Chin-Ying Cheng ◽  
Chun-Ju Chiang ◽  
Cheng-Hsing Hsieh ◽  
You-Kang Chang ◽  
Mei-Shu Lai
Keyword(s):  
Cancer Registry ◽  
Registry Data ◽  
Cancer Registry Data ◽  
Treatment Data

Augmenting state cancer registry data for quality-of-care assessment: A Georgia-based application to evaluate receipt of adjuvant therapies for breast cancer and colorectal cancer.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 6523-6523
Author(s):  
Joseph Lipscomb ◽  
Kevin C. Ward ◽  
Kathleen Adams ◽  
Peter Joski ◽  
Douglas Roblin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Colorectal Cancer ◽  
Quality Of Care ◽  
Cancer Registry ◽  
Linked Data ◽  
Registry Data ◽  
Data Sources ◽  
Cancer Registry Data ◽  
Assess Quality

6523 Background: The value of linking population-based cancer registry data with insurance claims files to assess quality of care has been demonstrated in numerous studies, including those using NCI’s linked SEER-Medicare database, covering patients age 65+ in fee-for-service plans, and studies linking registry data with Medicaid, private insurance, or managed care data covering the under-65 population. We describe a prototype program linking registry data with multiple data sources to assess quality of care for at-risk populations in a defined geographical area. Methods: Data exchange agreements were executed among the investigative site (Emory University), Georgia state government, and the claims data sources/vendors. We linked Georgia Cancer Registry (GCR) records for 1999-2005 incident cases of breast and colorectal cancer with enrollment and medical services records from Medicare, Medicaid, Kaiser Permanente of Georgia, and the State Health Benefit Plan (SHBP) which covers all state workers and dependents. Following data quality checks, algorithms based on National Quality Forum (NQF) endorsed breast and colorectal cancer quality measures were applied to each linked data set to assess performance. Results: The linked data sets included 60% of all breast and colorectal cancer cases in the GCR over the study period. Quality measure performance rates varied notably across payers. For example, the percent of Stage III colon cancer patients meeting the NQF standard for adjuvant chemotherapy in the linked GCR-Medicaid, GCR-Kaiser, and GCR-SHBP data were, respectively, 75%, 92%, and 92% (p<0.05). The rates for breast cancer patients meeting standards for adjuvant chemotherapy were 86%, 84%, and 87% (p=NS), respectively. Patients in the linked GCR-Medicare data (all age 65+) generally had lower performance rates for each NQF measure. Conclusions: Linking state cancer registry data with multiple public and private sources of administrative data is technically feasible, and may represent a viable strategy for building a national cancer data system for quality improvement, as recommended in 1999 by the Institute of Medicine.

Augmenting state cancer registry data for quality-of-care assessment: A Georgia-based application to evaluate receipt of adjuvant therapies for breast cancer and colorectal cancer.

2013 ◽  
Vol 31 (31_suppl) ◽  
pp. 5-5 ◽  
Author(s):  
Joseph Lipscomb ◽  
Kevin C. Ward ◽  
Kathleen Adams ◽  
Peter Joski ◽  
Douglas Roblin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Colorectal Cancer ◽  
Quality Of Care ◽  
Cancer Registry ◽  
Linked Data ◽  
Registry Data ◽  
Data Sources ◽  
Cancer Registry Data ◽  
Assess Quality

5 Background: The value of linking population-based cancer registry data with insurance claims files to assess quality of care has been demonstrated in numerous studies, including those using NCI’s linked SEER-Medicare database, covering patients age 65+ in fee-for-service plans, and studies linking registry data with Medicaid, private insurance, or managed care data covering the under-65 population. We describe a prototype program linking registry data with multiple data sources to assess quality of care for at-risk populations in a defined geographical area. Methods: Data exchange agreements were executed among the investigative site (Emory University), Georgia state government, and the claims data sources/vendors. We linked Georgia Cancer Registry (GCR) records for 1999-2005 incident cases of breast and colorectal cancer with enrollment and medical services records from Medicare, Medicaid, Kaiser Permanente of Georgia, and the State Health Benefit Plan (SHBP) which covers all state workers and dependents. Following data quality checks, algorithms based on National Quality Forum (NQF) endorsed breast and colorectal cancer quality measures were applied to each linked data set to assess performance. Results: The linked data sets included 60% of all breast and colorectal cancer cases in the GCR over the study period. Quality measure performance rates varied notably across payers. For example, the percent of Stage III colon cancer patients meeting the NQF standard for adjuvant chemotherapy in the linked GCR-Medicaid, GCR-Kaiser, and GCR-SHBP data were, respectively, 75%, 92%, and 92% (p<0.05). The rates for breast cancer patients meeting standards for adjuvant chemotherapy were 86%, 84%, and 87% (p=NS), respectively. Patients in the linked GCR-Medicare data (all age 65+) generally had lower performance rates for each NQF measure. Conclusions: Linking state cancer registry data with multiple public and private sources of administrative data is technically feasible, and may represent a viable strategy for building a national cancer data system for quality improvement, as recommended in 1999 by the Institute of Medicine.

Quality of race, Hispanic ethnicity, and immigrant status in population-based cancer registry data: implications for health disparity studies

2007 ◽  
Vol 18 (2) ◽  
pp. 177-187 ◽  
Author(s):  
Limin X. Clegg ◽  
Marsha E. Reichman ◽  
Benjamin F. Hankey ◽  
Barry A. Miller ◽  
Yi D. Lin ◽  
...  
Keyword(s):  
Cancer Registry ◽  
Health Disparity ◽  
Population Based ◽  
Registry Data ◽  
Immigrant Status ◽  
Hispanic Ethnicity ◽  
Cancer Registry Data
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