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Trends in Medical Encounters Involving Cannabis-Related Disorders Among US Medicare Beneficiaries, 2017–2022.

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Title: Trends in Medical Encounters Involving Cannabis-Related Disorders Among US Medicare Beneficiaries, 2017–2022.
Authors: Perez-Vilar, Silvia, Kazemian, Sara, Greene, Christina, Duenas, Pablo Freyria, Radin, Rose, Lindaas, Arnstein, Akhtar, Sandia, Wernecke, Michael, Chillarige, Yoganand, Kelman, Jeffrey A., Graham, David J.
Source: American Journal of Public Health. 2024 Suppl 8, Vol. 114, pS694-S697. 4p.
Subjects: Substance abuse, Medicare, Descriptive statistics, Mann Whitney U Test, Statistics, Cannabis (Genus), Confidence intervals, People with disabilities, Nosology
Geographic Terms: United States
Abstract: Objectives. To characterize cannabis-related disorder medical encounter trends in the US Medicare population during 2017 to 2022. Methods. We conducted a descriptive study, which included 56 624 432 beneficiaries aged 65 years or older and 10 247 953 aged 18 to 64 years with disability. All were continuously enrolled in Medicare (Fee-for-Service or Advantage) for 183 or more days before the first day of the calendar year. We identified cannabis-related disorder encounters using International Classification of Diseases, 10th Revision, Clinical Modification diagnosis codes and computed annual encounter rates per 10 000 beneficiaries. We used the Mann–Kendall test to analyze trends over time. Results. Annual cannabis-related disorder encounter trends among beneficiaries aged 65 years or older ranged from 15.9 (95% confidence interval [CI] = 15.8, 16.0) to 39.3 (95% CI = 39.1, 39.5) per 10 000. Rates among beneficiaries aged 18 to 64 years with disability ranged from 274.8 (95% CI = 273.6, 276.0) to 373.7 (95% CI = 372.3, 375.2) per 10 000. Rates increased over time across both groups, with average annual increases of 4.3 (95% CI = 3.3, 5.3; P =.01) and 17.1 (95% CI = 11.0, 23.2; P =.02) per 10 000, respectively. Conclusions. Further work is needed to explore the impact of coexisting medical conditions on outcomes that result from cannabis-related disorders. (Am J Public Health. 2024;114(S8):S694–S697. https://doi.org/10.2105/AJPH.2024.307729) [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Trends in Medical Encounters Involving Cannabis-Related Disorders Among US Medicare Beneficiaries, 2017–2022.
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  Data: <searchLink fieldCode="AR" term="%22Perez-Vilar%2C+Silvia%22">Perez-Vilar, Silvia</searchLink><br /><searchLink fieldCode="AR" term="%22Kazemian%2C+Sara%22">Kazemian, Sara</searchLink><br /><searchLink fieldCode="AR" term="%22Greene%2C+Christina%22">Greene, Christina</searchLink><br /><searchLink fieldCode="AR" term="%22Duenas%2C+Pablo+Freyria%22">Duenas, Pablo Freyria</searchLink><br /><searchLink fieldCode="AR" term="%22Radin%2C+Rose%22">Radin, Rose</searchLink><br /><searchLink fieldCode="AR" term="%22Lindaas%2C+Arnstein%22">Lindaas, Arnstein</searchLink><br /><searchLink fieldCode="AR" term="%22Akhtar%2C+Sandia%22">Akhtar, Sandia</searchLink><br /><searchLink fieldCode="AR" term="%22Wernecke%2C+Michael%22">Wernecke, Michael</searchLink><br /><searchLink fieldCode="AR" term="%22Chillarige%2C+Yoganand%22">Chillarige, Yoganand</searchLink><br /><searchLink fieldCode="AR" term="%22Kelman%2C+Jeffrey+A%2E%22">Kelman, Jeffrey A.</searchLink><br /><searchLink fieldCode="AR" term="%22Graham%2C+David+J%2E%22">Graham, David J.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Public+Health%22">American Journal of Public Health</searchLink>. 2024 Suppl 8, Vol. 114, pS694-S697. 4p.
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  Data: Objectives. To characterize cannabis-related disorder medical encounter trends in the US Medicare population during 2017 to 2022. Methods. We conducted a descriptive study, which included 56 624 432 beneficiaries aged 65 years or older and 10 247 953 aged 18 to 64 years with disability. All were continuously enrolled in Medicare (Fee-for-Service or Advantage) for 183 or more days before the first day of the calendar year. We identified cannabis-related disorder encounters using International Classification of Diseases, 10th Revision, Clinical Modification diagnosis codes and computed annual encounter rates per 10 000 beneficiaries. We used the Mann–Kendall test to analyze trends over time. Results. Annual cannabis-related disorder encounter trends among beneficiaries aged 65 years or older ranged from 15.9 (95% confidence interval [CI] = 15.8, 16.0) to 39.3 (95% CI = 39.1, 39.5) per 10 000. Rates among beneficiaries aged 18 to 64 years with disability ranged from 274.8 (95% CI = 273.6, 276.0) to 373.7 (95% CI = 372.3, 375.2) per 10 000. Rates increased over time across both groups, with average annual increases of 4.3 (95% CI = 3.3, 5.3; P =.01) and 17.1 (95% CI = 11.0, 23.2; P =.02) per 10 000, respectively. Conclusions. Further work is needed to explore the impact of coexisting medical conditions on outcomes that result from cannabis-related disorders. (Am J Public Health. 2024;114(S8):S694–S697. https://doi.org/10.2105/AJPH.2024.307729) [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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