The Association of Nonmodifiable Patient Factors on Antipsychotic Medication use in the Intensive Care Unit.
The Association of Nonmodifiable Patient Factors on Antipsychotic Medication use in the Intensive Care Unit.
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DOI:
10.1177/08850666231198030
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发表时间:
2024-02
影响因子:
3.1
通讯作者:
Boncyk, Christina S.
中科院分区:
文献类型:
--
作者:
Connell, Jennifer;Mccann, Brittany;Feng, Xiaoke;Shotwell, Matthew S.;Hughes, Christopher G.;Boncyk, Christina S.
We investigated the association of age, sex, race, and insurance status on antipsychotic medication use among intensive care unit (ICU) patients. 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. 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)). 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.
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影响因子:
5.7
作者:
Boncyk CS;Farrin E;Stollings JL;Rumbaugh K;Wilson JE;Marshall M;Feng X;Shotwell MS;Pandharipande PP;Hughes CG
通讯作者:
Hughes CG
影响因子:
4.3
作者:
Marra, Annachiara;Ely, E. Wesley;Patel, Mayur B.
通讯作者:
Patel, Mayur B.
影响因子:
5.1
作者:
Foster, Ashley A.;Porter, John J.;Hudgins, Joel D.
通讯作者:
Hudgins, Joel D.
DOI:
10.1177/1078390321994668
发表时间:
2021-06-10
影响因子:
2
作者:
Casol, Marina;Tong, Angela;McGloin, Rumi
通讯作者:
McGloin, Rumi
影响因子:
8.8
作者:
Mayr FB;Yende S;D'Angelo G;Barnato AE;Kellum JA;Weissfeld L;Yealy DM;Reade MC;Milbrandt EB;Angus DC
通讯作者:
Angus DC