TY - JOUR
T1 - Identifying predictors of opioid use among older United States’ adults with pain
AU - Axon, David Rhys
AU - Slack, Marion
AU - Warholak, Terri
N1 - Publisher Copyright:
© 2022 Journal of Opioid Management, All Rights Reserved.
PY - 2022/3
Y1 - 2022/3
N2 - Objective: To identify the strongest predictors of opioid use among older United States’ (US) adults (≥50 years) with pain. Design: Cross-sectional retrospective database design. Setting: 2017 Medical Expenditure Panel Survey data. Participants: Civilian, noninstitutionalized sample of US adults aged ≥50 years alive for the calendar year with pain in the past 4 weeks. Interventions: Hierarchical logistic regression models assessed significant predictors of opioid use, which included: predisposing, enabling, need, personal health practices, and external environmental factors. Main outcome measures: Opioid use status (opioid user vs. nonopioid user). Results: Among 51,372,861 civilian, noninstitutionalized US adults alive aged ≥50 years with pain in 2017, the opioid use prevalence was 27.4 percent (95 percent confidence interval=25.8-29.0). Predictors of opioid use included: white versus other race (adjusted odds ratio, AOR=1.430), Hispanic versus non-Hispanic ethnicity (AOR=0.648), up to high school versus higher than high school education (AOR=1.259), functional limitation versus no limitation (AOR=1.580), little/moderate versus quite a bit/extreme pain (AOR=0.422), good versus fair/ poor perceived mental health status (AOR=1.429), smokers versus nonsmokers (AOR=1.523), and residing in the northeast versus west US (AOR=0.646). Conclusions: This study of 51 million older US adults with pain indicated that several factors including race, ethnicity, education, functional limitations, pain severity, mental health status, smoking status, and region of the country were predictors of opioid use. Future research is needed in additional clinical populations and to investigate where these findings diverge from previous studies.
AB - Objective: To identify the strongest predictors of opioid use among older United States’ (US) adults (≥50 years) with pain. Design: Cross-sectional retrospective database design. Setting: 2017 Medical Expenditure Panel Survey data. Participants: Civilian, noninstitutionalized sample of US adults aged ≥50 years alive for the calendar year with pain in the past 4 weeks. Interventions: Hierarchical logistic regression models assessed significant predictors of opioid use, which included: predisposing, enabling, need, personal health practices, and external environmental factors. Main outcome measures: Opioid use status (opioid user vs. nonopioid user). Results: Among 51,372,861 civilian, noninstitutionalized US adults alive aged ≥50 years with pain in 2017, the opioid use prevalence was 27.4 percent (95 percent confidence interval=25.8-29.0). Predictors of opioid use included: white versus other race (adjusted odds ratio, AOR=1.430), Hispanic versus non-Hispanic ethnicity (AOR=0.648), up to high school versus higher than high school education (AOR=1.259), functional limitation versus no limitation (AOR=1.580), little/moderate versus quite a bit/extreme pain (AOR=0.422), good versus fair/ poor perceived mental health status (AOR=1.429), smokers versus nonsmokers (AOR=1.523), and residing in the northeast versus west US (AOR=0.646). Conclusions: This study of 51 million older US adults with pain indicated that several factors including race, ethnicity, education, functional limitations, pain severity, mental health status, smoking status, and region of the country were predictors of opioid use. Future research is needed in additional clinical populations and to investigate where these findings diverge from previous studies.
KW - adult
KW - analgesics
KW - health care surveys
KW - opioid
KW - pain management
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U2 - 10.5055/jom.2022.0700
DO - 10.5055/jom.2022.0700
M3 - Article
C2 - 35476879
AN - SCOPUS:85128912978
SN - 1551-7489
VL - 18
SP - 95
EP - 105
JO - Journal of Opioid Management
JF - Journal of Opioid Management
IS - 2
ER -