Literature DB >> 24229345

Study of long-acting reversible contraceptive use in a UK primary care database: validation of methodology.

Lucía Cea Soriano1, Mari-Ann Wallander, Susan W Andersson, Gema Requena, Luis A García-Rodríguez.   

Abstract

OBJECTIVES To develop and validate algorithms to identify new users of long-acting reversible contraceptives (LARCs) in a primary care database, The Health Improvement Network (THIN). METHODS Women in THIN aged 12 to 49 years in 2005 were studied. THIN was searched using Read and MULTILEX codes to identify new users of copper intrauterine devices (Cu-IUDs), the levonorgestrel-releasing intrauterine system (LNG-IUS) and progestogen-only implants. Validation was undertaken for a randomly selected sample of 398 LARC users, in which their primary care physicians were asked to complete a questionnaire detailing LARC use. RESULTS Questionnaires were received for 379 patients (95%), confirming 316 (83%) as new LARC users. Confirmation rates for Cu-IUDs, the LNG-IUS and progestogen-only implants were 64%, 94% and 89%, respectively. The use of Read codes alone had the lowest confirmation rate, particularly for Cu-IUD users. Confirmation rates increased by using MULTILEX codes when available, or by examination of computerised medical records. CONCLUSIONS Computer algorithms were used to identify new LARC users. While THIN is a useful resource for studying LARC uptake, steps to gather additional information are necessary to ensure the validity of LARC classification.

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Year:  2013        PMID: 24229345     DOI: 10.3109/13625187.2013.852170

Source DB:  PubMed          Journal:  Eur J Contracept Reprod Health Care        ISSN: 1362-5187            Impact factor:   1.848


  2 in total

1.  Cohort Study of Psychiatric Adverse Events Following Exposure to Levonorgestrel-Containing Intrauterine Devices in UK General Practice.

Authors:  Jim Slattery; Daniel Morales; Luis Pinheiro; Xavier Kurz
Journal:  Drug Saf       Date:  2018-10       Impact factor: 5.606

2.  Feasibility study to identify women of childbearing age at risk of pregnancy not using any contraception in The Health Improvement Network (THIN) database.

Authors:  Lucía Cea Soriano; Alex Asiimwe; Mieke Van Hemelrijck; Cecilia Bosco; Luis A García Rodríguez
Journal:  BMC Med Inform Decis Mak       Date:  2020-07-18       Impact factor: 2.796

  2 in total

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