Opening the black box of record linkage
Open accessAbstract
The UK government's plan for a secure data service— Strengthening the international competitiveness of UK life sciences research —will transform the availability of linked electronic health records to support service provision, planning and research. In April 2012, the new Clinical Practice Research Datalink was established to provide linked national e-health records, facilitating large-scale, population-based research and service evaluation. Such comprehensive data-linkages have been successfully established in other areas, notably in Western Australia, where a code of best practice …
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Even small errors in the linkage process can introduce bias and lead to results that can overestimate or underestimate the associations under study.
“Even small errors in the linkage process can introduce bias and lead to results that can overestimate or underestimate the associations under study [52].”
From The Reporting of Studies Conducted Using Observational Routinely-Collected Health Data (RECORD) statement. (2015) · cites this paper as [52]
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Cites
Differential Record Linkage by Hispanic Ethnicity and Age in Linked Mortality Studies
Lariscy, J. T. (2011) · Journal of Aging and Health · doi:10.1177/0898264311421369 · Cited by 88 · see citing works
The Effect of Mismatching on the Measurement of Response Errors
Neter, J., Maynes, E. S., & Ramanathan, R. (1965) · Journal of the American Statistical Association · doi:10.1080/01621459.1965.10480846 · Cited by 75 · see citing works
The Effect of Mismatching on the Measurement of Response Error
Neter, J., Maynes, E. S., & Ramanathan, R. (1965) · Journal of the American Statistical Association · doi:10.2307/2283401 · Cited by 32 · see citing works
Paediatric cardiac surgical mortality after Bristol
Gibbs, J. L., Cunningham, D., de Leval, M. R., Monro, J. L., & Keogh, B. E. (2004) · BMJ · doi:10.1136/bmj.330.7481.43-c · Cited by 10 · see citing works
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Research works printed but not linked: 1
- McGlincy M, ed. A Bayesian Record Linkage Methodology for Multiple Imputation of Missing Links. ASA Section on Survey Research Methods. 2004. http://www.amstat.org/ sections/srms/Proceedings/y2004/files/Jsm2004-000683.pdf (accessed 6 Mar 2012).
Cited by
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Benchimol, E. I., Smeeth, L., Guttmann, A., Harron, K., Moher, D., Petersen, I., Sørensen, H. T., von Elm, E., Langan, S. M., & RECORD Working Committee (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001885 · Cited by 5,749 · see citing works
Self-citationNicholls, S. G., Quach, P., von Elm, E., Guttmann, A., Moher, D., Petersen, I., Sørensen, H. T., Smeeth, L., Langan, S. M., & Benchimol, E. I. (2015) · PLOS ONE · doi:10.1371/journal.pone.0125620 · Cited by 217 · see citing works
Padmanabhan, S., Carty, L., Cameron, E., Ghosh, R. E., Williams, R., & Strongman, H. (2019) · European Journal of Epidemiology · doi:10.1007/s10654-018-0442-4 · Cited by 208 · see citing works
Sayers, A. E., Ben‐Shlomo, Y., Blom, A. W., & Steele, F. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv322 · Cited by 187 · see citing works
Kwakkenbos, L., Imran, M., McCall, S. J., McCord, K. A., Fröbert, O., Hemkens, L. G., Zwarenstein, M., Relton, C., Rice, D. B., Langan, S., et al. (2021) · BMJ · doi:10.1136/bmj.n857 · Cited by 136 · see citing works
Linking Data for Mothers and Babies in De-Identified Electronic Health Data
Harron, K. L., Gilbert, R. E., Cromwell, D. A., & van der Meulen, J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0164667 · Cited by 114 · see citing works
Self-citationEvaluating bias due to data linkage error in electronic healthcare records
Harron, K. L., Wade, A. M., Gilbert, R. E., Müller‐Pebody, B., & Goldstein, H. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-36 · Cited by 101 · see citing works
Self-citationBenchimol, E. I., Smeeth, L. L., Guttmann, A., Harron, K. L., Hemkens, L. G., Moher, D., Petersen, I., Sørensen, H. T., von Elm, E. B., & Langan, S. (2016) · Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen · doi:10.1016/j.zefq.2016.07.010 · Cited by 97 · see citing works
Self-citationAccuracy and completeness of patient pathways – the benefits of national data linkage in Australia
Boyd, J., Randall, S. M., Ferrante, A. M., Bauer, J. K., McInneny, K., Brown, A., Spilsbury, K., Gillies, M., & Semmens, J. B. (2015) · BMC Health Services Research · doi:10.1186/s12913-015-0981-2 · Cited by 47 · see citing works
Harron, K. L., Goldstein, H., Wade, A. M., Müller‐Pebody, B., Parslow, R. C., & Gilbert, R. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0085278 · Cited by 45 · see citing works
Self-citationLariscy, J. T. (2016) · Population Research and Policy Review · doi:10.1007/s11113-016-9415-z · Cited by 27 · see citing works
Brett, C. E., & Deary, I. J. (2014) · Longitudinal and Life Course Studies · doi:10.14301/llcs.v5i3.266 · Cited by 25 · see citing works
Utilising identifier error variation in linkage of large administrative data sources
Harron, K. L., Hagger‐Johnson, G., Gilbert, R. E., & Goldstein, H. (2017) · BMC Medical Research Methodology · doi:10.1186/s12874-017-0306-8 · Cited by 25 · see citing works
Self-citationHarron, K. L., Benchimol, E. I., & Langan, S. (2018) · International Journal for Population Data Science · doi:10.23889/ijpds.v3i1.419 · Cited by 24 · see citing works
Self-citationClark, D., King, A., Sharpe, K., Connelly, G., Elliott, L., Macpherson, L. M. D., McMahon, A. D., Milligan, I., Wilson, P., Conway, D. I., et al. (2017) · Public Health · doi:10.1016/j.puhe.2017.05.003 · Cited by 18 · see citing works
Population Data Centre Profiles: Centre for Data Linkage
Boyd, J., Randall, S. M., Brown, A., Maller, M., Botes, D., Gillies, M., & Ferrante, A. M. (2020) · International Journal for Population Data Science · doi:10.23889/ijpds.v4i2.1139 · Cited by 17 · see citing works
Can colorectal cancer survivors recall their medications and doctor visits reliably?
Gordon, L. G., Patrao, T. A., & Hawkes, A. L. (2012) · BMC Health Services Research · doi:10.1186/1472-6963-12-440 · Cited by 14 · see citing works
March, S. (2017) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph14121543 · Cited by 15 · see citing works
Overcoming limitations of tuberculosis information systems: researcher and clinician perspectives
van der Heijden, Y. F., Hughes, J., Dowdy, D. W., Streicher, E. M., Chihota, V. N., Jacobson, K. R., Warren, R. M., & Theron, G. (2019) · Public Health Action · doi:10.5588/pha.19.0014 · Cited by 8 · see citing works
Lim, F. J., Blyth, C. C., de Klerk, N. H., Valenti, B., Rouhiainen, O., Wu, D. Y.-A., Jansz, C. S., & Moore, H. C. (2015) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2015.08.003 · Cited by 7 · see citing works
A Simple Sampling Method for Estimating the Accuracy of Large Scale Record Linkage Projects
Guiver, T., Randall, S. M., Ferrante, A. M., Semmens, J. B., Anderson, P., Dickinson, T., & Boyd, J. (2016) · Methods of Information in Medicine · doi:10.3414/me15-01-0152 · Cited by 7 · see citing works
Understanding the origins of record linkage errors and how they affect research outcomes
Boyd, J., Ferrante, A. M., Irvine, K., Smith, M. F., Moore, E., Brown, A., & Randall, S. M. (2016) · Australian and New Zealand Journal of Public Health · doi:10.1111/1753-6405.12597 · Cited by 7 · see citing works
Trick, W. E., Doshi, K., Ray, M. J., & Angulo, F. R. (2019) · ACI Open · doi:10.1055/s-0039-1693129 · Cited by 5 · see citing works
Verfürden, M., Harron, K. L., Jerrim, J., Fewtrell, M. S., & Gilbert, R. E. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-035968 · Cited by 3 · see citing works
Self-citationIdentification of stillbirths in NSW linked population health datasetsPreprint
Roberts, C. L., Algert, C. S., Morris, J. M., Taylor, L. K., & Ford, J. B. (2014) · The Sydney eScholarship Repository (The University of Sydney) · Cited by 3 · see citing works
Benchimol, E. I., Smeeth, L. L., Guttmann, A., Harron, K. L., Moher, D., Petersen, I., Sørensen, H. T., Januel, J., von Elm, E. B., & Langan, S. (2019) · Canadian Medical Association Journal · doi:10.1503/cmaj.181309 · Cited by 1 · see citing works
Self-citationKibuuka, D. (2025) · Tuwhera (Auckland University of Technology) · doi:10.13140/rg.2.2.16441.68961
Harron, K. L., Goldstein, H., & Dibben, C. J. L. (2015) · Wiley series in probability and statistics · doi:10.1002/9781119072454.refs
Self-citationHarron, K. L. (2022) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12900
Self-citationGenerating synthetic identifiers to support development and evaluation of data linkage methods
Lam, J., Boyd, A., Linacre, R., Blackburn, R. M., & Harron, K. L. (2024) · International Journal for Population Data Science · doi:10.23889/ijpds.v9i1.2389
Self-citationQuantifying emergent drug-resistant TB using laboratory data and record-linkage methods
Rhea, C., Maruri, F., Ghebrekristos, Y. T., AMORIM, G., Cox, H., Dheda, K. U. J., Sterling, T. R., Warren, R. M., & van der Heijden, Y. F. (2026) · IJTLD OPEN · doi:10.5588/ijtldopen.26.0043
- Authors
- Harron, K., Wade, A., Muller-Pebody, B., Goldstein, H., & Gilbert, R.
- Affiliations
- University of London (GB)
- Healthcare Associated Infection, Health Protection Agency, London UK
- Corresponding author
- Harron, Katie
- Venue
- Journal of Epidemiology and Community Health
- Publisher
- BMJ
- Published
- 2012-06-15
- Volume
- 66
- Issue
- 12
- Pages
- 1198.2-1198
- ISSN
- 0141-7681 (ISSN-L)
- 0143-005X
- 1470-2738
- OpenAlex
- W2125226349
- Cited by
- 32
- References
- 4
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 4 · 2018: 2 · 2017: 3 · 2016: 5 · 2015: 6 · 2014: 3 · 2013: 1 · 2012: 1
- Type
- other
- Language
- en
- Open access
- green
- discovery.ucl.ac.uk
- Locations
- Journal of Epidemiology & Community Health (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Data Quality and Management
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- data linkage, electronic health records, Clinical Practice Research Datalink, health data security, population-based study, health service evaluation
- MeSH terms
- United Kingdom, Humans, Medical Record Linkage, Electronic Health Records
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