» Articles » PMID: 9303369

Data Quality in Population-based Cancer Registration: an Assessment of the Merseyside and Cheshire Cancer Registry

Overview
Journal Br J Cancer
Specialty Oncology
Date 1997 Jan 1
PMID 9303369
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Merseyside and Cheshire Cancer Registry (MCCR) data quality was assessed by applying literature-based measures to 27,942 cases diagnosed in 1990 and 1991. Registrations after death (n = 8535) were also audited (n = 917) to estimate death certificate only (DCO) case accuracy and the proportion of registrations notified by death certificate (DC). Ascertainment appeared to be high from the registration/mortality ratio for lung [1.01:1] and to be low from capture-recapture estimates (59.4%), varying significantly with site from oesophagus [92.2% (95% CI 88.5-95.9)] to breast [47.5 (95% CI 41.8-53.2)]. The estimated DC-dependent proportion was 20% (5601 out of 27 942) with successful traceback in 3533 out of 5601 (63.1%) cases. DCO flagging (2497 out of 27,942, 8.9%) overestimated true DCO cases (2068 out of 27,942, 7.4%). The proportion of cases of unknown primary site was low (1.5%), varying significantly with age [0-4.2%, (95% CI 2.5-5.9)] and district [0.8% (95% CI 0.3-1.3) to 2.2% (95% CI 1.8-2.6)]. The median diagnosis to registration interval appeared to be good (10 weeks), varying significantly with site (P < 0.0001), age (P < 0.0001) and district (P < 0.0001). The proportion with a verified diagnosis was 77.3%, varying significantly with site [lung 55.2% (95% CI 53.7-56.7) to cervix 96.9% (95% CI 96.3-97.5)], age [45.2% (95% CI 40.9-49.5) to 97.5% (95% CI 96.4-98.6)] and district [71.8% (95% CI 69.9-73.8) to 82.5% (95% CI 80.7-84.3)]. The DCO percentages varied similarly by site [non-melanoma skin 0.4% (95% CI 0.2-0.6) to lung 22.6% CI (95% 19.9-25.3)], age [0.7(95% CI 0.1-1.4) to 23.0 (95% CI 19.4-26.6)] and district [6.9% (95% CI 5.7-8.1) to 13.9% (95% CI 12.9-15.0)]. MCCR data quality varied with age, site and district - inviting action - and apparently compares favourably with elsewhere, although deficiencies in published data hampered definitive assessment. Putting quality assurance into practice identified shortcomings in the scope, definition and application of existing measures, and absent standards impeded interpretation. Cancer registry quality assurance should henceforward be within an explicit framework of agreed and standardized measures.

Citing Articles

Validation of primary and outcome data quality in a Swedish population-based breast cancer quality registry.

Palmer S, Blomqvist C, Holmqvist M, Lindman H, Lambe M, Ahlgren J BMC Cancer. 2024; 24(1):329.

PMID: 38468209 PMC: 10926626. DOI: 10.1186/s12885-024-12073-4.


Bayesian estimation of a cancer population by capture-recapture with individual capture heterogeneity and small sample.

Bailly L, Daures J, Dunais B, Pradier C BMC Med Res Methodol. 2015; 15:39.

PMID: 25902941 PMC: 4421924. DOI: 10.1186/s12874-015-0029-7.


Error rates in a clinical data repository: lessons from the transition to electronic data transfer--a descriptive study.

Hong M, Yao H, Pedersen J, Peters J, Costello A, Murphy D BMJ Open. 2013; 3(5).

PMID: 23793682 PMC: 3657671. DOI: 10.1136/bmjopen-2012-002406.


"Summary Page": a novel tool that reduces omitted data in research databases.

Goldberg S, Niemierko A, Shubina M, Turchin A BMC Med Res Methodol. 2010; 10:91.

PMID: 20932323 PMC: 2964731. DOI: 10.1186/1471-2288-10-91.


Analysis of data errors in clinical research databases.

Goldberg S, Niemierko A, Turchin A AMIA Annu Symp Proc. 2008; :242-6.

PMID: 18998889 PMC: 2656002.


References
1.
Freedman L . Variations in the level of reporting by hospitals to a regional cancer registry. Br J Cancer. 1978; 37(5):861-5. PMC: 2009625. DOI: 10.1038/bjc.1978.126. View

2.
Benn R, Leck I, Nwene U . Estimation of completeness of cancer registration. Int J Epidemiol. 1982; 11(4):362-7. DOI: 10.1093/ije/11.4.362. View

3.
Day N, Davies T . Cancer registration: integrate or disintegrate?. BMJ. 1996; 313(7062):896. PMC: 2352242. DOI: 10.1136/bmj.313.7062.896. View

4.
Robles S, Marrett L, Clarke E, Risch H . An application of capture-recapture methods to the estimation of completeness of cancer registration. J Clin Epidemiol. 1988; 41(5):495-501. DOI: 10.1016/0895-4356(88)90052-2. View

5.
Hawkins M, Swerdlow A . Completeness of cancer and death follow-up obtained through the National Health Service Central Register for England and Wales. Br J Cancer. 1992; 66(2):408-13. PMC: 1977803. DOI: 10.1038/bjc.1992.279. View