The effect of different intensivist staffing patterns on the rate of potential drug–drug interactions in adult trauma intensive care units

Background: Drug–drug interactions (DDIs) have created alarming challenges for public health, especially in those admitted to intensive care units (ICUs). Many studies have shown that involvement of intensivists in the ICUs improves the outcome and decreases the treatment costs. The effect of academ...

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Main Authors: Mansoor Masjedi, Mahtabalsadat Mirjalili, Ehsan Mirzaei, Hadis Mirzaee, Afsaneh Vazin
Format: Article
Language:English
Published: SAGE Publishing 2020-12-01
Series:Therapeutic Advances in Drug Safety
Online Access:https://doi.org/10.1177/2042098620980640
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spelling doaj-6e208946b2d34029815867bf7f492f502020-12-29T00:34:53ZengSAGE PublishingTherapeutic Advances in Drug Safety2042-09942020-12-011110.1177/2042098620980640The effect of different intensivist staffing patterns on the rate of potential drug–drug interactions in adult trauma intensive care unitsMansoor MasjediMahtabalsadat MirjaliliEhsan MirzaeiHadis MirzaeeAfsaneh VazinBackground: Drug–drug interactions (DDIs) have created alarming challenges for public health, especially in those admitted to intensive care units (ICUs). Many studies have shown that involvement of intensivists in the ICUs improves the outcome and decreases the treatment costs. The effect of academic versus non-academic (therapeutic) intensivist as well as hours of coverage and attendance of intensivist on potential DDIs (pDDIs) was evaluated in six adult trauma ICUs of a level one trauma center. Methods: In this 6-month cross-sectional study, 200 patients were included. The DDIs were classified into five groups, including type A, B, C, D, and X. pDDIs were defined as interactions belonged to C, D and X categories. Patients in six adult ICUs with three different patterns of intensivist staffing models including type A (once-daily therapeutic intensivist visit followed by 24 h on-call), B (twice-daily academic intensivist visit, 8 h of attendance in ICU and 16 h on-call) and C (all criteria just like ICU type B, except for the presence of therapeutic instead of academic intensivist) were screened for pDDIs. Results: In total, 3735 drug orders and 3869 drugs (193 different types) were screened and 1826 pDDIs were identified. Type C, D and X interactions accounted for 60.6%, 35.5%, and 3.9% of all pDDIs, respectively. The mean of pDDI per patient was significantly higher ( p -value < 0.001) in the ICU type A than ICU types C and B. The frequency of pDDIs was the highest in the type A ICUs. A statistically significant relationship was observed between the number of prescribed drugs and ICU length of stay ( p -value < 0.001 and p  = 0.009, respectively). Conclusion: Different patterns of intensivist staffing affect pDDIs to varying degrees. In the studied ICUs academic versus therapeutic intensivist, twice versus once-daily visit, and 8 h attendance with16 h on-call versus 24 h on-call were associated with more reductions in pDDIs. Plain language summary The impact of different intensivist staffing patterns in ICUs on the rate of potential drug-drug interactions Drug-drug interactions (DDIs) have created alarming challenges for public health, especially in patients admitted to intensive care units (ICUs). Many studies have shown that involvement of intensivists in the ICUs improves the outcome and limits the costs. Considering the high incidence of potential DDIs (pDDIs) occurring for critically ill patients and the importance of ADRs caused by pDDIs in ICUs, the effect of the presence of an academic versus therapeutic intensivist, as well as the hour of coverage of intensivist on prevalence of pDDIs was evaluated in six adult trauma ICUs of a level one trauma center in Shiraz, Iran. We also determined the prevalence of pDDIs and their associated risk factors. To the best of our knowledge, this is the first study that has assessed the effect of various ICU physician staffing models on the incidence and pattern of pDDIs.https://doi.org/10.1177/2042098620980640
collection DOAJ
language English
format Article
sources DOAJ
author Mansoor Masjedi
Mahtabalsadat Mirjalili
Ehsan Mirzaei
Hadis Mirzaee
Afsaneh Vazin
spellingShingle Mansoor Masjedi
Mahtabalsadat Mirjalili
Ehsan Mirzaei
Hadis Mirzaee
Afsaneh Vazin
The effect of different intensivist staffing patterns on the rate of potential drug–drug interactions in adult trauma intensive care units
Therapeutic Advances in Drug Safety
author_facet Mansoor Masjedi
Mahtabalsadat Mirjalili
Ehsan Mirzaei
Hadis Mirzaee
Afsaneh Vazin
author_sort Mansoor Masjedi
title The effect of different intensivist staffing patterns on the rate of potential drug–drug interactions in adult trauma intensive care units
title_short The effect of different intensivist staffing patterns on the rate of potential drug–drug interactions in adult trauma intensive care units
title_full The effect of different intensivist staffing patterns on the rate of potential drug–drug interactions in adult trauma intensive care units
title_fullStr The effect of different intensivist staffing patterns on the rate of potential drug–drug interactions in adult trauma intensive care units
title_full_unstemmed The effect of different intensivist staffing patterns on the rate of potential drug–drug interactions in adult trauma intensive care units
title_sort effect of different intensivist staffing patterns on the rate of potential drug–drug interactions in adult trauma intensive care units
publisher SAGE Publishing
series Therapeutic Advances in Drug Safety
issn 2042-0994
publishDate 2020-12-01
description Background: Drug–drug interactions (DDIs) have created alarming challenges for public health, especially in those admitted to intensive care units (ICUs). Many studies have shown that involvement of intensivists in the ICUs improves the outcome and decreases the treatment costs. The effect of academic versus non-academic (therapeutic) intensivist as well as hours of coverage and attendance of intensivist on potential DDIs (pDDIs) was evaluated in six adult trauma ICUs of a level one trauma center. Methods: In this 6-month cross-sectional study, 200 patients were included. The DDIs were classified into five groups, including type A, B, C, D, and X. pDDIs were defined as interactions belonged to C, D and X categories. Patients in six adult ICUs with three different patterns of intensivist staffing models including type A (once-daily therapeutic intensivist visit followed by 24 h on-call), B (twice-daily academic intensivist visit, 8 h of attendance in ICU and 16 h on-call) and C (all criteria just like ICU type B, except for the presence of therapeutic instead of academic intensivist) were screened for pDDIs. Results: In total, 3735 drug orders and 3869 drugs (193 different types) were screened and 1826 pDDIs were identified. Type C, D and X interactions accounted for 60.6%, 35.5%, and 3.9% of all pDDIs, respectively. The mean of pDDI per patient was significantly higher ( p -value < 0.001) in the ICU type A than ICU types C and B. The frequency of pDDIs was the highest in the type A ICUs. A statistically significant relationship was observed between the number of prescribed drugs and ICU length of stay ( p -value < 0.001 and p  = 0.009, respectively). Conclusion: Different patterns of intensivist staffing affect pDDIs to varying degrees. In the studied ICUs academic versus therapeutic intensivist, twice versus once-daily visit, and 8 h attendance with16 h on-call versus 24 h on-call were associated with more reductions in pDDIs. Plain language summary The impact of different intensivist staffing patterns in ICUs on the rate of potential drug-drug interactions Drug-drug interactions (DDIs) have created alarming challenges for public health, especially in patients admitted to intensive care units (ICUs). Many studies have shown that involvement of intensivists in the ICUs improves the outcome and limits the costs. Considering the high incidence of potential DDIs (pDDIs) occurring for critically ill patients and the importance of ADRs caused by pDDIs in ICUs, the effect of the presence of an academic versus therapeutic intensivist, as well as the hour of coverage of intensivist on prevalence of pDDIs was evaluated in six adult trauma ICUs of a level one trauma center in Shiraz, Iran. We also determined the prevalence of pDDIs and their associated risk factors. To the best of our knowledge, this is the first study that has assessed the effect of various ICU physician staffing models on the incidence and pattern of pDDIs.
url https://doi.org/10.1177/2042098620980640
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