<![CDATA[Healthcare use by people who use illicit opioids (HUPIO): development of a cohort based on electronic primary care records in England (extended data)]]>

2026-06-01T16:16:54Z https://api.figshare.com/v2/oai

oai:figshare.com:article/13253906 2020-11-19T09:22:45Z category_27073 category_27100 category_27133 category_27205 portal_549 item_type_3 month_year_11_2020

10.5522/04/13253906.v5 https://figshare.com/articles/dataset/Healthcare_use_by_people_who_use_illicit_opioids_HUPIO_development_of_a_cohort_based_on_electronic_primary_care_records_in_England_extended_data_/13253906 https://ndownloader.figshare.com/files/27660420 Lewer, Dan Dan Lewer Padmanathan, Prianka Prianka Padmanathan 0000-0003-1292-6575 Muhammad Najam Ul Arfeen, Dr Dr Muhammad Najam Ul Arfeen Denaxas, Spiros Spiros Denaxas Forbes, Harriet Harriet Forbes 0000-0001-6888-2212 Gonzalez-Izquierdo, Arturo Arturo Gonzalez-Izquierdo Hickman, Matt Matt Hickman 0000-0001-9864-459X <![CDATA[Healthcare use by people who use illicit opioids (HUPIO): development of a cohort based on electronic primary care records in England (extended data)]]> Epidemiology not elsewhere classified Health informatics and information systems Primary health care Public health not elsewhere classified illicit drugs substance use disorders electronic health records data linkage opioids health inequalities Epidemiology Health Informatics Primary Health Care Public Health and Health Services not elsewhere classified 2021-04-27 2021-04-27 Dataset 2020 University College London This dataset includes:

1. Search terms used to identify codes that may represent a history of illicit opioid use

2. Codelist for identifying people with a history of illicit opioid use

3. Age- and sex-distribution of patients by product and clinical codes

4. Number of patients currently in the cohort

5. Age of patients at cohort entry

6. Internal validation based on hospital admissions for opioid dependence

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