Determining households from patient addresses and unique property reference numbers in general practitioner electronic health records.

ABSTRACT:

Introduction

Households are increasingly studied in population health research as an important context for understanding health and social behaviours and outcomes. Identifying household units of analysis in routinely collected data rather than traditional surveys requires innovative and standardised tools, which do not currently exist.

Objectives

To design a utility that identifies households at a point in time from pseudonymised Unique Property Reference Numbers (UPRNs) known as Residential Anonymised Linkage Fields (RALFs) assigned to general practitioner (GP) patient addresses in electronic health records (EHRs) in north east London (NEL).

Methods

Rule-based logic was developed to identify households based on GP registration, address date, and RALF validity. The lo

SUBMITTER: Harper G 

PROVIDER: S-EPMC11626511 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature