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Using Pain Medication Intensity to Stratify Back Pain Among Older Adults
OBJECTIVE: To examine the prevalence of musculoskeletal back pain among older adults stratified by pain medication intensity to 1) review treatment patterns and 2) consider targeted back pain prevention interventions. METHODS: A random sample of older adults age 64 years and older was utilized to id...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374135/ https://www.ncbi.nlm.nih.gov/pubmed/29394401 http://dx.doi.org/10.1093/pm/pny007 |
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author | Musich, Shirley Wang, Shaohung S Slindee, Luke B Keown, Karen Hawkins, Kevin Yeh, Charlotte S |
author_facet | Musich, Shirley Wang, Shaohung S Slindee, Luke B Keown, Karen Hawkins, Kevin Yeh, Charlotte S |
author_sort | Musich, Shirley |
collection | PubMed |
description | OBJECTIVE: To examine the prevalence of musculoskeletal back pain among older adults stratified by pain medication intensity to 1) review treatment patterns and 2) consider targeted back pain prevention interventions. METHODS: A random sample of older adults age 64 years and older was utilized to identify new and recurring back pain. Prescription pain medications from drug claims were used to stratify to five unique intensity levels. The characteristics of each level were determined using regression models. RESULTS: About 10% had musculoskeletal back pain. Of these, 54% (N = 20,645) had new back pain and 46% (N = 17,252) had recurring back pain. Overall, about 35% received physical therapy. Pain medication intensity levels included no prescription pain medications, nonsteroidal anti-inflammatory drugs (NSAIDs), muscle relaxants, low-dose opioids, and high-dose opioids (new back pain: 39%, 10%, 6%, 23%, and 23%, respectively; recurring back pain 32%, 9%, 4%, 17%, and 38%, respectively). NSAID and muscle relaxant users were younger, healthier, and received physical therapy. Opioid users were younger, in poorer health, used sleep medications, received physical therapy, and had more falls and higher health care utilization and expenditures. CONCLUSIONS: New and recurring back pain patients can be stratified by pain medication intensity to review treatment patterns and target back pain prevention programs. Those with back pain but taking no prescription pain medications may benefit from back pain prevention programs. More research on guidelines for treatment options for those on high levels of pain medications is warranted. |
format | Online Article Text |
id | pubmed-6374135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63741352019-02-21 Using Pain Medication Intensity to Stratify Back Pain Among Older Adults Musich, Shirley Wang, Shaohung S Slindee, Luke B Keown, Karen Hawkins, Kevin Yeh, Charlotte S Pain Med PAIN & AGING SECTION OBJECTIVE: To examine the prevalence of musculoskeletal back pain among older adults stratified by pain medication intensity to 1) review treatment patterns and 2) consider targeted back pain prevention interventions. METHODS: A random sample of older adults age 64 years and older was utilized to identify new and recurring back pain. Prescription pain medications from drug claims were used to stratify to five unique intensity levels. The characteristics of each level were determined using regression models. RESULTS: About 10% had musculoskeletal back pain. Of these, 54% (N = 20,645) had new back pain and 46% (N = 17,252) had recurring back pain. Overall, about 35% received physical therapy. Pain medication intensity levels included no prescription pain medications, nonsteroidal anti-inflammatory drugs (NSAIDs), muscle relaxants, low-dose opioids, and high-dose opioids (new back pain: 39%, 10%, 6%, 23%, and 23%, respectively; recurring back pain 32%, 9%, 4%, 17%, and 38%, respectively). NSAID and muscle relaxant users were younger, healthier, and received physical therapy. Opioid users were younger, in poorer health, used sleep medications, received physical therapy, and had more falls and higher health care utilization and expenditures. CONCLUSIONS: New and recurring back pain patients can be stratified by pain medication intensity to review treatment patterns and target back pain prevention programs. Those with back pain but taking no prescription pain medications may benefit from back pain prevention programs. More research on guidelines for treatment options for those on high levels of pain medications is warranted. Oxford University Press 2019-02 2018-01-31 /pmc/articles/PMC6374135/ /pubmed/29394401 http://dx.doi.org/10.1093/pm/pny007 Text en © 2018 American Academy of Pain Medicine. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License(http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contactjournals.permissions@oup.com |
spellingShingle | PAIN & AGING SECTION Musich, Shirley Wang, Shaohung S Slindee, Luke B Keown, Karen Hawkins, Kevin Yeh, Charlotte S Using Pain Medication Intensity to Stratify Back Pain Among Older Adults |
title | Using Pain Medication Intensity to Stratify Back Pain Among Older Adults |
title_full | Using Pain Medication Intensity to Stratify Back Pain Among Older Adults |
title_fullStr | Using Pain Medication Intensity to Stratify Back Pain Among Older Adults |
title_full_unstemmed | Using Pain Medication Intensity to Stratify Back Pain Among Older Adults |
title_short | Using Pain Medication Intensity to Stratify Back Pain Among Older Adults |
title_sort | using pain medication intensity to stratify back pain among older adults |
topic | PAIN & AGING SECTION |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374135/ https://www.ncbi.nlm.nih.gov/pubmed/29394401 http://dx.doi.org/10.1093/pm/pny007 |
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