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Characteristics of New-Onset and Chronic Sleep Medication Users Among Older Adults: A Retrospective Study of a US Medigap Plan Population using Propensity Score Matching
BACKGROUND: Prescription sleep medications are often utilized to manage sleep problems among older adults even though these drugs are associated with multiple risks. OBJECTIVE: The aim was to determine the prevalence and characteristics of new-onset compared to chronic sleep medication users and to...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956055/ https://www.ncbi.nlm.nih.gov/pubmed/29651640 http://dx.doi.org/10.1007/s40266-018-0543-5 |
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author | Musich, Shirley Wang, Shaohung S. Slindee, Luke B. Saphire, Lynn Wicker, Ellen |
author_facet | Musich, Shirley Wang, Shaohung S. Slindee, Luke B. Saphire, Lynn Wicker, Ellen |
author_sort | Musich, Shirley |
collection | PubMed |
description | BACKGROUND: Prescription sleep medications are often utilized to manage sleep problems among older adults even though these drugs are associated with multiple risks. OBJECTIVE: The aim was to determine the prevalence and characteristics of new-onset compared to chronic sleep medication users and to examine factors associated with the conversion from new to chronic use. A secondary objective was to investigate the impact of sleep medications on health outcomes of injurious falls and patterns of healthcare utilization and expenditures. METHODS: A 25% random sample of adults ≥ 65 years with 3-year continuous AARP(®) Medicare Supplement medical and AARP(®) MedicareRx drug plan enrollment was utilized to identify new-onset and chronic sleep medication users. Prescription sleep medication drugs were defined using National Drug Codes (NDCs); falls or hip fractures were identified from diagnosis codes. New users had no sleep medication use in 2014, but initiated medication use in 2015; chronic users had at least one sleep medication prescription in 2014 and in 2015; both groups had follow-up through 2016. Characteristics associated with new users, new users who converted to chronic use, and chronic users were determined using multivariate logistic regression. Prevalence of falls, healthcare utilization and expenditures were regression adjusted. RESULTS: Among eligible insureds, 3 and 9% were identified as new-onset and chronic sleep medication users, respectively. New-onset sleep medication prescriptions were often associated with an inpatient hospitalization. The strongest characteristics associated with new users, those who converted to chronic use, and chronic users were sleep disorders, depression and opioid use. About 50% of new users had > 30 days’ supply; 25% converted to chronic use with ≥ 90 days’ supply. The prevalence of falls for new-onset users increased by 70% compared to a 22% increase among chronic users. CONCLUSION: New-onset and chronic sleep medication users were characterized by sleep disorders, depression and pain. Addressing the underlying problems associated with sleep problems among older adults may decrease the need for sleep medications and thus reduce the risk of sleep medication-related adverse events. |
format | Online Article Text |
id | pubmed-5956055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-59560552018-05-18 Characteristics of New-Onset and Chronic Sleep Medication Users Among Older Adults: A Retrospective Study of a US Medigap Plan Population using Propensity Score Matching Musich, Shirley Wang, Shaohung S. Slindee, Luke B. Saphire, Lynn Wicker, Ellen Drugs Aging Original Research Article BACKGROUND: Prescription sleep medications are often utilized to manage sleep problems among older adults even though these drugs are associated with multiple risks. OBJECTIVE: The aim was to determine the prevalence and characteristics of new-onset compared to chronic sleep medication users and to examine factors associated with the conversion from new to chronic use. A secondary objective was to investigate the impact of sleep medications on health outcomes of injurious falls and patterns of healthcare utilization and expenditures. METHODS: A 25% random sample of adults ≥ 65 years with 3-year continuous AARP(®) Medicare Supplement medical and AARP(®) MedicareRx drug plan enrollment was utilized to identify new-onset and chronic sleep medication users. Prescription sleep medication drugs were defined using National Drug Codes (NDCs); falls or hip fractures were identified from diagnosis codes. New users had no sleep medication use in 2014, but initiated medication use in 2015; chronic users had at least one sleep medication prescription in 2014 and in 2015; both groups had follow-up through 2016. Characteristics associated with new users, new users who converted to chronic use, and chronic users were determined using multivariate logistic regression. Prevalence of falls, healthcare utilization and expenditures were regression adjusted. RESULTS: Among eligible insureds, 3 and 9% were identified as new-onset and chronic sleep medication users, respectively. New-onset sleep medication prescriptions were often associated with an inpatient hospitalization. The strongest characteristics associated with new users, those who converted to chronic use, and chronic users were sleep disorders, depression and opioid use. About 50% of new users had > 30 days’ supply; 25% converted to chronic use with ≥ 90 days’ supply. The prevalence of falls for new-onset users increased by 70% compared to a 22% increase among chronic users. CONCLUSION: New-onset and chronic sleep medication users were characterized by sleep disorders, depression and pain. Addressing the underlying problems associated with sleep problems among older adults may decrease the need for sleep medications and thus reduce the risk of sleep medication-related adverse events. Springer International Publishing 2018-04-12 2018 /pmc/articles/PMC5956055/ /pubmed/29651640 http://dx.doi.org/10.1007/s40266-018-0543-5 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Article Musich, Shirley Wang, Shaohung S. Slindee, Luke B. Saphire, Lynn Wicker, Ellen Characteristics of New-Onset and Chronic Sleep Medication Users Among Older Adults: A Retrospective Study of a US Medigap Plan Population using Propensity Score Matching |
title | Characteristics of New-Onset and Chronic Sleep Medication Users Among Older Adults: A Retrospective Study of a US Medigap Plan Population using Propensity Score Matching |
title_full | Characteristics of New-Onset and Chronic Sleep Medication Users Among Older Adults: A Retrospective Study of a US Medigap Plan Population using Propensity Score Matching |
title_fullStr | Characteristics of New-Onset and Chronic Sleep Medication Users Among Older Adults: A Retrospective Study of a US Medigap Plan Population using Propensity Score Matching |
title_full_unstemmed | Characteristics of New-Onset and Chronic Sleep Medication Users Among Older Adults: A Retrospective Study of a US Medigap Plan Population using Propensity Score Matching |
title_short | Characteristics of New-Onset and Chronic Sleep Medication Users Among Older Adults: A Retrospective Study of a US Medigap Plan Population using Propensity Score Matching |
title_sort | characteristics of new-onset and chronic sleep medication users among older adults: a retrospective study of a us medigap plan population using propensity score matching |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956055/ https://www.ncbi.nlm.nih.gov/pubmed/29651640 http://dx.doi.org/10.1007/s40266-018-0543-5 |
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