Conference Proceedings from International Population Data Linkage Conference 202

Ahmed, Z

Boomla, K

Dezateux, C

Fry, R

Harper, G

Robson, J

Stables, D

International Journal for Population Data Science

English

Queen Mary Research Online

04/01/2021 Allocating Unique Property Reference Numbers to Patient Addresses Using A Deterministic Address-Matching Algorithm: Evaluation of …https://ijpds.org/article/view/1465 1/7Home (https://ijpds.org/index) /   Archives (https://ijpds.org/issue/archive)/   Vol. 5 No. 5 (2020): Conference Proceedings for International Population Data Linkage Conference 2020(https://ijpds.org/issue/view/19)/   Conference ProceedingsAllocating Unique Property ReferenceNumbers to Patient Addresses Using ADeterministic Address-MatchingAlgorithm: Evaluation of Accuracy, MatchRate and BiasGill HarperClinical Effectiveness Group, Institute of Population Health Sciences, Queen Mary University of LondonKambiz BoomlaClinical Effectiveness Group, Institute of Population Health Sciences, Queen Mary University of LondonJohn RobsonClinical Effectiveness Group, Institute of Population Health Sciences, Queen Mary University of LondonDavid StablesEndeavour Health Charitable TrustZaheer AhmedClinical Effectiveness Group, Institute of Population Health Sciences, Queen Mary University of LondonRichard FryBiomedical Sciences, Swansea UniversityCarol DezateuxClinical Effectiveness Group, Institute of Population Health Sciences, Queen Mary University of LondonAbstract04/01/2021 Allocating Unique Property Reference Numbers to Patient Addresses Using A Deterministic Address-Matching Algorithm: Evaluation of …https://ijpds.org/article/view/1465 2/7Introduction Representing patient-registered addresses as pseudonymised Unique Property Reference Numbers(UPRNs) enables linkage of environmental and household information to electronic health records(EHRs). However, the accuracy and potential biases in address-matching algorithm results applied topatient addresses is unknown.Objectives and Approach To investigate accuracy, match rate, and biases in assigning UPRNs to general practitioner (GP)-registered patient addresses for a geographically-de ned UK population, using a bespokedeterministic address-matching algorithm comprising 213 rules applied in rank order of minimisingfalse-positives, developed for the Discovery Data Service.We ran this algorithm to match 906,220 adult patient GP-registered addresses (48% female, 47% non-White, 89% 20-64) sampled in mid-2018 from 159 GP practices in four London boroughs to OrdnanceSurvey’s AddressBase Premium database.We evaluated the error rates using a gold-standard dataset. We used binary logistic regression toestimate the likelihood (Odds Ratio [OR]; 95% Con dence Intervals [CI]) of no UPRN match accordingto and adjusting for patient age, sex, ethnic background, deprivation, residential mobility and multipleGP registrations.Results 96% of patient addresses were successfully assigned a UPRN. Algorithm sensitivity, speci city,positive and negative predictive-values and F-measure were, respectively: 0.993, 0.019, 0.914, 0.204,and 0.9516.After mutual adjustment, UPRN assignment was less likely for: men (OR: 0.87; 95%CI: 0.83,0.91);adolescents and the elderly (15-19 years: 0.57;0.43,0.77; ≥90 years: 0.39;0.18,0.84); those fromChinese ethnic backgrounds (0.87;0.8,0.91), living in the least deprived areas (0.25;0.21,0.31), or withtwo or more distinct UPRNs across multiple registrations (0.37;0.28,0.49); and more likely for: thosefrom Bangladeshi ethnic backgrounds (1.79;1.61,2.00), registered before 2018 (5.10;4.42,5.87), or withmultiple GP registrations (2.36;1.82,3.05).Conclusion / Implications The Discovery open-source algorithm achieves a high accurate match rate and quanti es thedemographic groups that may be under-represented among those successfully matched. This is the rst time that bias in matching rates for an address-matching algorithm has been evaluated usingpatient-registered addresses.

Allocating Unique Property Reference Numbers to Patient Addresses Using A Deterministic Address-Matching Algorithm: Evaluation of Accuracy, Match Rate and Bias

https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/69658/Dezateux_Allocating%20Unique%20Property%20Reference_2020_Published.pdf?sequence=2&isAllowed=y

Allocating Unique Property Reference Numbers to Patient Addresses Using A Deterministic Address-Matching Algorithm: Evaluation of Accuracy, Match Rate and Bias

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