Age and sex patterns of drug prescribing in a defined American population
- PMID: 23790544
- PMCID: PMC3754826
- DOI: 10.1016/j.mayocp.2013.04.021
Age and sex patterns of drug prescribing in a defined American population
Abstract
Objective: To describe the age and sex patterns of drug prescribing in Olmsted County, Minnesota.
Patients and methods: Population-based drug prescription records for the Olmsted County population in 2009 were obtained using the Rochester Epidemiology Project medical records linkage system (n=142,377). Drug prescriptions were classified using RxNorm codes and were grouped using the National Drug File-Reference Terminology.
Results: Overall, 68.1% of the population (n=96,953) received a prescription from at least 1 drug group, 51.6% (n=73,501) received prescriptions from 2 or more groups, and 21.2% (n=30,218) received prescriptions from 5 or more groups. The most commonly prescribed drug groups in the entire population were penicillins and β-lactam antimicrobials (17%; n=23,734), antidepressants (13%; n=18,028), opioid analgesics (12%; n=16,954), antilipemic agents (11%; n=16,082), and vaccines/toxoids (11%; n=15,918). However, prescribing patterns differed by age and sex. Vaccines/toxoids, penicillins and β-lactam antimicrobials, and antiasthmatic drugs were most commonly prescribed in persons younger than 19 years. Antidepressants and opioid analgesics were most commonly prescribed in young and middle-aged adults. Cardiovascular drugs were most commonly prescribed in older adults. Women received more prescriptions than men for several drug groups, in particular for antidepressants. For several drug groups, use increased with advancing age.
Conclusion: This study provides valuable baseline information for future studies of drug utilization and drug-related outcomes in this population.
Copyright © 2013 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Figures
Similar articles
-
Controlled Substance Prescribing Patterns--Prescription Behavior Surveillance System, Eight States, 2013.MMWR Surveill Summ. 2015 Oct 16;64(9):1-14. doi: 10.15585/mmwr.ss6409a1. MMWR Surveill Summ. 2015. PMID: 26469747
-
Opioid Prescribing Behaviors - Prescription Behavior Surveillance System, 11 States, 2010-2016.MMWR Surveill Summ. 2020 Jan 31;69(1):1-14. doi: 10.15585/mmwr.ss6901a1. MMWR Surveill Summ. 2020. PMID: 31999681 Free PMC article.
-
Opioid Prescribing Patterns and Patient Outcomes by Prescriber Type in the Oregon Prescription Drug Monitoring Program.Pain Med. 2018 Dec 1;19(12):2481-2486. doi: 10.1093/pm/pnx283. Pain Med. 2018. PMID: 29155988 Free PMC article.
-
Sex Differences in Cardiovascular Management: A Call for Better Acknowledgment-Part 1 Pharmacological Differences in Women and Men; How Relevant Are They?Am J Ther. 2024 May-Jun 01;31(3):e237-e245. doi: 10.1097/MJT.0000000000001753. Am J Ther. 2024. PMID: 38691663 Review.
-
The applications of pharmacogenetics to prescribing: what is currently practicable?Clin Med (Lond). 2009 Oct;9(5):493-5. doi: 10.7861/clinmedicine.9-5-493. Clin Med (Lond). 2009. PMID: 19886116 Free PMC article. Review. No abstract available.
Cited by
-
Impacts of Medications on Microbiome-mediated Protection against Enteric Pathogens.Res Sq [Preprint]. 2024 Oct 18:rs.3.rs-5199936. doi: 10.21203/rs.3.rs-5199936/v1. Res Sq. 2024. PMID: 39483881 Free PMC article. Preprint.
-
Poor Neonatal Adaptation After Antidepressant Exposure During the Third Trimester in a Geographically Defined Cohort.Mayo Clin Proc Innov Qual Outcomes. 2023 Mar 7;7(2):127-139. doi: 10.1016/j.mayocpiqo.2023.02.002. eCollection 2023 Apr. Mayo Clin Proc Innov Qual Outcomes. 2023. PMID: 36938114 Free PMC article.
-
Incidence of Status Migrainosus in Olmsted County, Minnesota, United States: Characterization and Predictors of Recurrence.Neurology. 2023 Jan 17;100(3):e255-e263. doi: 10.1212/WNL.0000000000201382. Epub 2022 Sep 29. Neurology. 2023. PMID: 36175145 Free PMC article.
-
Pain, Opioid Analgesics, and Cognition: A Conceptual Framework in Older Adults.Pain Med. 2023 Feb 1;24(2):171-181. doi: 10.1093/pm/pnac113. Pain Med. 2023. PMID: 35913452 Free PMC article.
-
Adherence to cardiovascular disease risk factor medications among patients with cancer: a systematic review.J Cancer Surviv. 2023 Jun;17(3):595-618. doi: 10.1007/s11764-022-01212-0. Epub 2022 May 17. J Cancer Surviv. 2023. PMID: 35578150 Free PMC article. Review.
References
-
- Gu Q, Dillon CF, Burt VL. Prescription drug use continues to increase: U.S. prescription drug data for 2007-2008. NCHS Data Brief. 2010:1–8. - PubMed
-
- National Center for Health Statistics. Health, United States, 2011: With Special Feature on Socioeconomic Status and Health. Hyattsville, MD: 2012. [April 12, 2013]. http://www.cdc.gov/nchs/data/hus/hus11.pdf. - PubMed
-
- CDC grand rounds: prescription drug overdoses - a U.S. epidemic. [April 12, 2013];MMWR. 2012 61:10–13. http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6101a3.htm. - PubMed
-
- Center for Disease Control (CDC) [April 12, 2013];Unintentional drug poisoning in the United States. http://www.cdc.gov/HomeandRecreationalSafety/pdf/poision-issue-brief.pdf.
-
- Lucado J, Paez K, Elixhauser A. Medication-Related Adverse Outcomes in U.S. Hospitals and Emergency Departments, 2008. HCUP Statistical Brief #109. 2011 http://www.hcup-us.ahrq.gov/reports/statbriefs/sb109.pdf. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
