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Pain medication management of musculoskeletal conditions at first presentation in primary care: analysis of routinely collected medical record data
BACKGROUND: Primary care pharmacological management of new musculoskeletal conditions is not consistent, despite guidelines which recommend prescribing basic analgesics before higher potency medications such as opioids or non-steroidal inflammatory drugs (NSAIDs). The objective was to describe pharm...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295256/ https://www.ncbi.nlm.nih.gov/pubmed/25492581 http://dx.doi.org/10.1186/1471-2474-15-418 |
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author | Ndlovu, Mehluli Bedson, John Jones, Peter W Jordan, Kelvin P |
author_facet | Ndlovu, Mehluli Bedson, John Jones, Peter W Jordan, Kelvin P |
author_sort | Ndlovu, Mehluli |
collection | PubMed |
description | BACKGROUND: Primary care pharmacological management of new musculoskeletal conditions is not consistent, despite guidelines which recommend prescribing basic analgesics before higher potency medications such as opioids or non-steroidal inflammatory drugs (NSAIDs). The objective was to describe pharmacological management of new musculoskeletal conditions and determine patient characteristics associated with type of medication prescribed. METHODS: The study was set within a UK general practice database, the Consultations in Primary Care Archive (CiPCA). Patients aged 15 plus who had consulted for a musculoskeletal condition in 2006 but without a musculoskeletal consultation or analgesic prescription in the previous 12 months were identified from 12 general practices. Analgesic prescriptions within two weeks of first consultation were identified. The association of socio-demographic and clinical factors with receiving any analgesic prescription, and with strength of analgesic, were evaluated. RESULTS: 3236 patients consulted for a new musculoskeletal problem. 42% received a prescribed pain medication at that time. Of these, 47% were prescribed an NSAID, 24% basic analgesics, 18% moderate strength analgesics, and 11% strong analgesics. Increasing age was associated with an analgesic prescription but reduced likelihood of a prescription of NSAIDs or strong analgesics. Those in less deprived areas were less likely than those in the most deprived areas to be prescribed analgesics (odds ratio 0.69; 95% CI 0.55, 0.86). Those without comorbidity were more likely to be prescribed NSAIDs (relative risk ratios (RRR) compared to basic analgesics 1.89; 95% CI 0.96, 3.73). Prescribing of stronger analgesics was related to prior history of analgesic medication (for example, moderate analgesics RRR 1.88; 95% CI 1.11, 3.10). CONCLUSION: Over half of patients were not prescribed analgesia for a new episode of a musculoskeletal condition, but those that were often received NSAIDs. Analgesic choice appears multifactorial, but associations with age, comorbidity, and prior medication history suggest partial use of guidelines. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2474-15-418) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4295256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42952562015-01-16 Pain medication management of musculoskeletal conditions at first presentation in primary care: analysis of routinely collected medical record data Ndlovu, Mehluli Bedson, John Jones, Peter W Jordan, Kelvin P BMC Musculoskelet Disord Research Article BACKGROUND: Primary care pharmacological management of new musculoskeletal conditions is not consistent, despite guidelines which recommend prescribing basic analgesics before higher potency medications such as opioids or non-steroidal inflammatory drugs (NSAIDs). The objective was to describe pharmacological management of new musculoskeletal conditions and determine patient characteristics associated with type of medication prescribed. METHODS: The study was set within a UK general practice database, the Consultations in Primary Care Archive (CiPCA). Patients aged 15 plus who had consulted for a musculoskeletal condition in 2006 but without a musculoskeletal consultation or analgesic prescription in the previous 12 months were identified from 12 general practices. Analgesic prescriptions within two weeks of first consultation were identified. The association of socio-demographic and clinical factors with receiving any analgesic prescription, and with strength of analgesic, were evaluated. RESULTS: 3236 patients consulted for a new musculoskeletal problem. 42% received a prescribed pain medication at that time. Of these, 47% were prescribed an NSAID, 24% basic analgesics, 18% moderate strength analgesics, and 11% strong analgesics. Increasing age was associated with an analgesic prescription but reduced likelihood of a prescription of NSAIDs or strong analgesics. Those in less deprived areas were less likely than those in the most deprived areas to be prescribed analgesics (odds ratio 0.69; 95% CI 0.55, 0.86). Those without comorbidity were more likely to be prescribed NSAIDs (relative risk ratios (RRR) compared to basic analgesics 1.89; 95% CI 0.96, 3.73). Prescribing of stronger analgesics was related to prior history of analgesic medication (for example, moderate analgesics RRR 1.88; 95% CI 1.11, 3.10). CONCLUSION: Over half of patients were not prescribed analgesia for a new episode of a musculoskeletal condition, but those that were often received NSAIDs. Analgesic choice appears multifactorial, but associations with age, comorbidity, and prior medication history suggest partial use of guidelines. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2474-15-418) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-10 /pmc/articles/PMC4295256/ /pubmed/25492581 http://dx.doi.org/10.1186/1471-2474-15-418 Text en © Ndlovu et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Ndlovu, Mehluli Bedson, John Jones, Peter W Jordan, Kelvin P Pain medication management of musculoskeletal conditions at first presentation in primary care: analysis of routinely collected medical record data |
title | Pain medication management of musculoskeletal conditions at first presentation in primary care: analysis of routinely collected medical record data |
title_full | Pain medication management of musculoskeletal conditions at first presentation in primary care: analysis of routinely collected medical record data |
title_fullStr | Pain medication management of musculoskeletal conditions at first presentation in primary care: analysis of routinely collected medical record data |
title_full_unstemmed | Pain medication management of musculoskeletal conditions at first presentation in primary care: analysis of routinely collected medical record data |
title_short | Pain medication management of musculoskeletal conditions at first presentation in primary care: analysis of routinely collected medical record data |
title_sort | pain medication management of musculoskeletal conditions at first presentation in primary care: analysis of routinely collected medical record data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295256/ https://www.ncbi.nlm.nih.gov/pubmed/25492581 http://dx.doi.org/10.1186/1471-2474-15-418 |
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