Janice Wing Mei Fung1, Sandra Bee Lay Lim2, Huili Zheng2, William Ying Tat Ho2, Bee Guat Lee2, Khuan Yew Chow2, Hin Peng Lee3. 1. National Registry of Diseases Office, Singapore Cancer Registry, Health Promotion Board, 3 Second Hospital Avenue, Singapore 168937, Singapore. Electronic address: janice_fung@hpb.gov.sg. 2. National Registry of Diseases Office, Singapore Cancer Registry, Health Promotion Board, 3 Second Hospital Avenue, Singapore 168937, Singapore. 3. Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2 #10-01 Singapore 117549, Singapore.
Abstract
AIM: To provide a comprehensive evaluation of the quality of the data at the Singapore Cancer Registry (SCR). METHODS: Quantitative and semi-quantitative methods were used to assess the comparability, completeness, accuracy and timeliness of data for the period of 1968-2013, with focus on the period 2008-2012. RESULTS: The SCR coding and classification systems follow international standards. The overall completeness was estimated at 98.1% using the flow method and 97.5% using the capture-recapture method, for the period of 2008-2012. For the same period, 91.9% of the cases were morphologically verified (site-specific range: 40.4-100%) with 1.1% DCO cases. The under-reporting in 2011 and 2012 due to timely publication was estimated at 0.03% and 0.51% respectively. CONCLUSION: This review shows that the processes in place at the SCR yields data which are internationally comparable, relatively complete, valid, and timely, allowing for greater confidence in the use of quality data in the areas of cancer prevention, treatment and control.
AIM: To provide a comprehensive evaluation of the quality of the data at the Singapore Cancer Registry (SCR). METHODS: Quantitative and semi-quantitative methods were used to assess the comparability, completeness, accuracy and timeliness of data for the period of 1968-2013, with focus on the period 2008-2012. RESULTS: The SCR coding and classification systems follow international standards. The overall completeness was estimated at 98.1% using the flow method and 97.5% using the capture-recapture method, for the period of 2008-2012. For the same period, 91.9% of the cases were morphologically verified (site-specific range: 40.4-100%) with 1.1% DCO cases. The under-reporting in 2011 and 2012 due to timely publication was estimated at 0.03% and 0.51% respectively. CONCLUSION: This review shows that the processes in place at the SCR yields data which are internationally comparable, relatively complete, valid, and timely, allowing for greater confidence in the use of quality data in the areas of cancer prevention, treatment and control.
Authors: Peh Joo Ho; Chek Mei Bok; Hanis Mariyah Mohd Ishak; Li Yan Lim; Jenny Liu; Fuh Yong Wong; Kee Seng Chia; Min-Han Tan; Wen Yee Chay; Mikael Hartman; Jingmei Li Journal: PLoS One Date: 2019-03-11 Impact factor: 3.240
Authors: Peh Joo Ho; Fuh Yong Wong; Wen Yee Chay; Elaine Hsuen Lim; Zi Lin Lim; Kee Seng Chia; Mikael Hartman; Jingmei Li Journal: Cancer Med Date: 2021-10-28 Impact factor: 4.452