Cargando…

Use of Primary Care Data in Research and Pharmacovigilance: Eight Scenarios Where Prescription Data are Absent

The use of primary care databases has been integral in pharmacoepidemiological studies and pharmacovigilance. Primary care databases derive from electronic health records and offer a comprehensive description of aggregate patient data, from demography to medication history, and good sample sizes. St...

Descripción completa

Detalles Bibliográficos
Autores principales: Okoli, Grace N., Myles, Puja, Murray-Thomas, Tarita, Shepherd, Hilary, Wong, Ian C. K., Edwards, Duncan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8297607/
https://www.ncbi.nlm.nih.gov/pubmed/34296384
http://dx.doi.org/10.1007/s40264-021-01093-9
_version_ 1783725893306286080
author Okoli, Grace N.
Myles, Puja
Murray-Thomas, Tarita
Shepherd, Hilary
Wong, Ian C. K.
Edwards, Duncan
author_facet Okoli, Grace N.
Myles, Puja
Murray-Thomas, Tarita
Shepherd, Hilary
Wong, Ian C. K.
Edwards, Duncan
author_sort Okoli, Grace N.
collection PubMed
description The use of primary care databases has been integral in pharmacoepidemiological studies and pharmacovigilance. Primary care databases derive from electronic health records and offer a comprehensive description of aggregate patient data, from demography to medication history, and good sample sizes. Studies using these databases improve our understanding of prescribing characteristics and associated risk factors to facilitate better patient care, but there are limitations. We describe eight key scenarios where study data outcomes can be affected by absent prescriptions in UK primary care databases: (1) out-of-hours, urgent care and acute care prescriptions; (2) specialist-only prescriptions; (3) alternative community prescribing, such as pharmacy, family planning clinic or sexual health clinic medication prescriptions; (4) newly licensed medication prescriptions; (5) medications that do not require prescriptions; (6) hospital inpatient and outpatient prescriptions; (7) handwritten prescriptions; and (8) private pharmacy and private doctor prescriptions. The significance of each scenario is dependent on the type of medication under investigation, nature of the study and expected outcome measures. We recommend that all researchers using primary care databases be aware of the potential for missing prescribing data and be sensitive to how this can vary substantially between items, drug classes, patient groups and over time. Close liaison with practising primary care clinicians in the UK is often essential to ensure awareness of nuances in clinical practice.
format Online
Article
Text
id pubmed-8297607
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-82976072021-07-23 Use of Primary Care Data in Research and Pharmacovigilance: Eight Scenarios Where Prescription Data are Absent Okoli, Grace N. Myles, Puja Murray-Thomas, Tarita Shepherd, Hilary Wong, Ian C. K. Edwards, Duncan Drug Saf Review Article The use of primary care databases has been integral in pharmacoepidemiological studies and pharmacovigilance. Primary care databases derive from electronic health records and offer a comprehensive description of aggregate patient data, from demography to medication history, and good sample sizes. Studies using these databases improve our understanding of prescribing characteristics and associated risk factors to facilitate better patient care, but there are limitations. We describe eight key scenarios where study data outcomes can be affected by absent prescriptions in UK primary care databases: (1) out-of-hours, urgent care and acute care prescriptions; (2) specialist-only prescriptions; (3) alternative community prescribing, such as pharmacy, family planning clinic or sexual health clinic medication prescriptions; (4) newly licensed medication prescriptions; (5) medications that do not require prescriptions; (6) hospital inpatient and outpatient prescriptions; (7) handwritten prescriptions; and (8) private pharmacy and private doctor prescriptions. The significance of each scenario is dependent on the type of medication under investigation, nature of the study and expected outcome measures. We recommend that all researchers using primary care databases be aware of the potential for missing prescribing data and be sensitive to how this can vary substantially between items, drug classes, patient groups and over time. Close liaison with practising primary care clinicians in the UK is often essential to ensure awareness of nuances in clinical practice. Springer International Publishing 2021-07-22 2021 /pmc/articles/PMC8297607/ /pubmed/34296384 http://dx.doi.org/10.1007/s40264-021-01093-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Review Article
Okoli, Grace N.
Myles, Puja
Murray-Thomas, Tarita
Shepherd, Hilary
Wong, Ian C. K.
Edwards, Duncan
Use of Primary Care Data in Research and Pharmacovigilance: Eight Scenarios Where Prescription Data are Absent
title Use of Primary Care Data in Research and Pharmacovigilance: Eight Scenarios Where Prescription Data are Absent
title_full Use of Primary Care Data in Research and Pharmacovigilance: Eight Scenarios Where Prescription Data are Absent
title_fullStr Use of Primary Care Data in Research and Pharmacovigilance: Eight Scenarios Where Prescription Data are Absent
title_full_unstemmed Use of Primary Care Data in Research and Pharmacovigilance: Eight Scenarios Where Prescription Data are Absent
title_short Use of Primary Care Data in Research and Pharmacovigilance: Eight Scenarios Where Prescription Data are Absent
title_sort use of primary care data in research and pharmacovigilance: eight scenarios where prescription data are absent
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8297607/
https://www.ncbi.nlm.nih.gov/pubmed/34296384
http://dx.doi.org/10.1007/s40264-021-01093-9
work_keys_str_mv AT okoligracen useofprimarycaredatainresearchandpharmacovigilanceeightscenarioswhereprescriptiondataareabsent
AT mylespuja useofprimarycaredatainresearchandpharmacovigilanceeightscenarioswhereprescriptiondataareabsent
AT murraythomastarita useofprimarycaredatainresearchandpharmacovigilanceeightscenarioswhereprescriptiondataareabsent
AT shepherdhilary useofprimarycaredatainresearchandpharmacovigilanceeightscenarioswhereprescriptiondataareabsent
AT wongianck useofprimarycaredatainresearchandpharmacovigilanceeightscenarioswhereprescriptiondataareabsent
AT edwardsduncan useofprimarycaredatainresearchandpharmacovigilanceeightscenarioswhereprescriptiondataareabsent