Utilising identifier error variation in linkage of large administrative data sources

BMC Medical Research Methodology

Volumn 17, Issue 1, 2017, Pages 1-9

  Harron, Katie ^a   Hagger Johnson, Gareth ^b   Gilbert, Ruth ^c   Goldstein, Harvey ^d  

^a LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Administrative data; Data linkage; Hospital admission; Linkage error; Linkage evaluation; Record linkage

Indexed keywords

ADOLESCENT; ALGORITHM; CHILD; COMPUTER SIMULATION; FEMALE; HOSPITALIZATION; HUMAN; INFANT; INFORMATION RETRIEVAL; MALE; MEDICAL RECORD; NEWBORN; PRESCHOOL CHILD; PROCEDURES; PUBLIC HEALTH; REGISTER; STATISTICAL BIAS; STATISTICS AND NUMERICAL DATA; UNITED KINGDOM; YOUNG ADULT;

ADOLESCENT; ALGORITHMS; BIAS (EPIDEMIOLOGY); CHILD; CHILD, PRESCHOOL; COMPUTER SIMULATION; FEMALE; HOSPITALIZATION; HUMANS; INFANT; INFANT, NEWBORN; INFORMATION STORAGE AND RETRIEVAL; MALE; MEDICAL RECORD LINKAGE; NATIONAL HEALTH PROGRAMS; REGISTRIES; UNITED KINGDOM; YOUNG ADULT;

EID: 85011681363     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/s12874-017-0306-8     Document Type: Article

References (35)

1. Benchimol EI, et al. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement. PLoS Med. 2015;12(10):e1001885.
2. Bohensky M, et al. Data linkage: A powerful research tool with potential problems. BMC Health Serv Res. 2010;10(1):346-52.
3. Harron K, et al. Opening the black box of record linkage. J Epidemiol Community Health. 2012;66(12):1198.
4. Neter J, Maynes E, Ramanathan R. The effect of mismatching on the measurement of response error. J Am Stat Assoc. 1965;60(312):1005-27.
5. Lariscy JT. Differential Record Linkage by Hispanic Ethnicity and Age in Linked Mortality Studies: Implications for the Epidemiologic Paradox. J Aging Health. 2011;23(8):1263-84.
6. Jasilionis D, et al. Ethnic mortality differentials in Lithuania: contradictory evidence from census-linked and unlinked mortality estimates. J Epidemiol Community Health. 2011;66(6):e7.
7. Schmidlin K, et al. Impact of unlinked deaths and coding changes on mortality trends in the Swiss National Cohort. BMC Med Inform Decis Mak. 2013;13(1):1-11.
8. Ford JB, Roberts CL, Taylor LK. Characteristics of unmatched maternal and baby records in linked birth records and hospital discharge data. Paediatr Perinat Epidemiol. 2006;20(4):329-37.
9. Clark D. Practical introduction to record linkage for injury research. Inj Prev. 2004;10(3):186-91.
10. Sayers, A. et al. Probabilistic record linkage. Int J Epidemiol. 2015;45(3):954-964.
11. Fellegi IP, Sunter AB. A theory for record linkage. J Am Stat Assoc. 1969;64(328):1183-210.
12. Jaro M. Probabilistic linkage of large public health data files. Stat Med. 1995;14(5-7):491-8.
13. Christen P. A two-step classification approach to unsupervised record linkage. In Proceedings of the sixth Australasian conference on Data mining and analytics-Volume 70. Darlinghurst: Australian Computer Society, Inc.; 2007.
14. Yancey W. Improving EM algorithm estimates for record linkage parameters. in Joint Statistical Meetings - Section on Survey Research Methods. 2004.
15. Hagger-Johnson G, et al. Identifying false matches in anonymised hospital administrative data without patient identifiers. Health Serv Res. 2014;50(4):1162-78.
16. Tromp M, et al. Ignoring dependency between linking variables and its impact on the outcome of probabilistic record linkage studies. J Am Med Inform Assoc. 2008;15(5):654-60.
17. Health and Social Care Information Centre. Methodology for creation of the HES Patient ID (HESID). 2014.
18. Stata. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP; 2015.
19. Wijlaars L.P.M.M. et al. Who comes back with what: a retrospective database study on reasons for emergency readmission to hospital in children and young people in England. Arch Dis Child, 2016. in press.
20. Aldridge RW, et al. Accuracy of Probabilistic Linkage Using the Enhanced Matching System for Public Health and Epidemiological Studies. PLoS One. 2015;10(8):e0136179.
21. Hippisley-Cox J. Validity and completeness of the NHS Number in primary and secondary care: electronic data in England 1991-2013. In Project Report. University of Nottingham; 2013.
22. Moore CL, et al. A new method for assessing how sensitivity and specificity of linkage studies affects estimation. PLoS One. 2014;9(7):e103690.
23. Harron K, et al. Evaluating bias due to data linkage error in electronic healthcare records. BMC Med Res Methodol. 2014;14(1):36.
24. Brenner H, Schmidtmann I. Effects of record linkage errors on disease registration studies. Method Inf Med. 1998;37(1):69-74.
25. Krewski D, et al. The effect of record linkage errors on risk estimates in cohort mortality studies. Surv Methodol. 2005;31(1):13-21.
26. Bohensky M. Chapter 4: Bias in data linkage studies. In: Harron K, Dibben C, Goldstein H, editors. Methodological Developments in Data Linkage. London: Wiley; 2015.
27. Hagger-Johnson G, et al. Data linkage errors in hospital administrative data when applying a pseudonymisation algorithm to paediatric intensive care records. BMJ Open. 2015;5(8):e008118.
28. Goldstein H, Harron K, Wade A. The analysis of record-linked data using multiple imputation with data value priors. Stat Med. 2012;31(28):3481-93.
29. Winkler WE. Chapter 2: Probabilistic linkage. In: Harron K, Dibben C, Goldstein H, editors. Methodological Developments in Data Linkage. London: Wiley; 2015.
30. Herzog TH, Scheuren F, Winkler WE. Record linkage. WIREs Comput Stat. 2010;2(5):535-43.
31. Daggy J, et al. A practical approach for incorporating dependence among fields in probabilistic record linkage. BMC Med Res Methodol. 2013;13(1):97.
32. Herzog T, Scheuren F, Winkler W. Data quality and record linkage techniques. New York: Springer Verlag; 2007.
33. Winkler WE. The state of record linkage and current research problems. 1999.
34. NHS England. Understanding the impact of data quality on data linkage. 2016.
35. Winglee M, Valliant R, Scheuren F. A case study in record linkage. Surv Methodol. 2005;31(1):3-11.