Dataset Information

The Association of Nonmodifiable Patient Factors on Antipsychotic Medication use in the Intensive Care Unit.

ABSTRACT:

Purpose

We investigated the association of age, sex, race, and insurance status on antipsychotic medication use among intensive care unit (ICU) patients.

Materials and methods

Retrospective study of adults admitted to ICUs at a tertiary academic center. Patient characteristics, hospital course, and medication (olanzapine, quetiapine, and haloperidol) data were collected. Logistic regression models evaluated the independent association of age, sex, race, and insurance status on the use of each antipsychotic, adjusting for prespecified covariates.

Results

Of 27,137 encounters identified, 6191 (22.8%) received antipsychotics. Age was significantly associated with the odds of receiving olanzapine (P < .001), quetiapine (P = .001), and haloperidol (P = .0046). Male sex and public insurance status were associated with increased odds of receiving antipsychotics olanzapine, quetiapine, and haloperidol (Male vs Female: OR 1.13, 95% CI [1.04, 1.24], P = .0005; OR 1.22, 95% CI [1.10, 1.34], P = .0001; OR 1.28, 95% CI [1.17, 1.40], P < .0001, respectively; public insurance vs private insurance: OR 1.32, 95% CI [1.20, 1.46], P < .0001; OR 1.21, 95% CI [1.09, 1.34], P = .0004; OR 1.15, 95% CI [1.04, 1.27], P = .0058, respectively). Black race was also associated with a decreased odds of receiving all antipsychotics (olanzapine (P = .0177), quetiapine (P = .004), haloperidol (P = .0041)).

Conclusions

Age, sex, race, and insurance status were associated with the use of all antipsychotic medications investigated, highlighting the importance of investigating the potential impact of these prescribing decisions on patient outcomes across diverse populations. Recognizing how nonmodifiable patient factors have the potential to influence prescribing practices may be considered an important factor toward optimizing medication regimens.

SUBMITTER: Connell J

PROVIDER: S-EPMC10771026 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

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Publications

The Association of Nonmodifiable Patient Factors on Antipsychotic Medication use in the Intensive Care Unit.

Connell Jennifer J McCann Brittany B Feng Xiaoke X Shotwell Matthew S MS Hughes Christopher G CG Boncyk Christina S CS

Journal of intensive care medicine 20230830 2

<h4>Purpose</h4>We investigated the association of age, sex, race, and insurance status on antipsychotic medication use among intensive care unit (ICU) patients.<h4>Materials and methods</h4>Retrospective study of adults admitted to ICUs at a tertiary academic center. Patient characteristics, hospital course, and medication (olanzapine, quetiapine, and haloperidol) data were collected. Logistic regression models evaluated the independent association of age, sex, race, and insurance status on the ...[more]

PMID: 37644873

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Dataset Information

The Association of Nonmodifiable Patient Factors on Antipsychotic Medication use in the Intensive Care Unit.

Purpose

Materials and methods

Results

Conclusions

Publications

The Association of Nonmodifiable Patient Factors on Antipsychotic Medication use in the Intensive Care Unit.

Similar Datasets

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