Impact of the COVID-19 pandemic on drug-related problems and pharmacist interventions in geriatric acute care units

Chappe, Marion; Corvaisier, Mathieu; Brangier, Antoine; Annweiler, Cédric; Spiesser-Robelet, Laurence

doi:10.1016/j.pharma.2021.12.006

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…Penicillin, followed by macrolides, were the most commonly identified antimicrobials. Also, in a study from an acute geriatric unit analyzing a total of 355 patients before and during the first COVID-19 wave, DRP were concluded to be mostly related to anti-infectious drugs during the pandemic (20.3%, p = 0.038) ( M. Chappea, M. Corvaisier, A. Brangier, C. Annweiler, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

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Drug-related problems in patients admitted for SARS-CoV-2 infection during the COVID-19 pandemic

Barceló-Vidal

Echeverría-Esnal²,

Carballo³

et al. 2022

Front. Pharmacol.

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Introduction: Drug-related problems (DRP) are events or circumstances in which drug therapy does or could interfere with desired health outcomes. In December 2019, a new coronavirus, SARS-CoV-2, appeared. Little knowledge about this type of infection resulted in the administration of various drugs with limited use in other pathologies. Evidence about DRP in patients with COVID-19 is lacking.Objective: The aim of the present study is to describe identified cases of DRP and those drugs involved in the first wave of patients with COVID-19, and evaluate associated risk factors.Material and methods: Observational, retrospective study performed in a tertiary university hospital between 14th March 2020 and 31 May 2020 (corresponding to the first COVID-19 wave). We recruited patients admitted during the study period. Exclusion criteria included age < 18 years; admission to critically ill units; and care received either in the emergency room, at-home hospitalization or a healthcare center.Results: A total of 817 patients were included. The mean age was 62.5 years (SD 16.4) (range 18–97), and 453 (55.4%) were male. A total of 516 DRP were detected. Among the patients, 271 (33.2%) presented at least one DRP. The mean DRP per patient with an identified case was 1.9. The prevailing DRPs among those observed were: incorrect dosage (over or underdosage) in 145 patients (28.2%); wrong drug combination in 131 (25.5%); prescriptions not in adherence to the then COVID-19 treatment protocol in 73 (14.1%); prescription errors due to the wrong use of the computerized physician order entry in 47 (9.2%); and incorrect dosage due to renal function in 36 (7%). The logistic regression analysis showed that patients who received only prescriptions of antibacterials for systemic use (J01 ATC group) faced a higher likelihood of experiencing a DRP (OR 2.408 (1.071–5.411), p = 0.033).Conclusion: We identified several factors associated with an increased risk of DRPs, similar to those reported in other pre-pandemic studies, including a prolonged length of stay, higher number of prescribed drugs and antimicrobial administration. The relevance of pharmacists and tools like pharmacy warning systems can help prevent, identify and resolve DRP efficiently.

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Section: Discussionmentioning

confidence: 99%

“…The study performed by Chappea et al, 2022 , compared DRP identified prior to and during the first wave of COVID-19. Even they included less number of patients, this group found a higher proportion of pharmaceutical interventions during pandemic.…”

Section: Discussionmentioning

confidence: 99%

Drug-related problems in patients admitted for SARS-CoV-2 infection during the COVID-19 pandemic

Barceló-Vidal

Echeverría-Esnal²,

Carballo³

et al. 2022

Front. Pharmacol.

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Public interest in drug-related problems reflected in information search trends: an infodemiological study

Martínez-Aguilar,

Sanz-Lorente,

Martínez-Martínez

et al. 2024

DARU J Pharm Sci

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Background The analysis of how people search and “navigate” the internet to obtain health-related information and how they communicate and share this information can provide valuable knowledge about the disease patterns behaviour and health habits of populations. Objective To determine the population’s interest in drug-related problems through information search trends. Method A descriptive ecological correlational study, based on obtaining Google Trends data. Variables studied: relative search volume (RSV), evolution over time, milestones and seasonality. Results The most searched topic was drug overdose, with mean RSV of 56.25 ± 0.65. The highest increase occurred in the contraindication topic (R2 = 0.87, p < 0.001). The main milestone was observed in the drug overdose topic in July 2018 (RSV = 100). A very close relationship was found between adverse drug reaction and contraindication (R = 0.89, p < 0.001). Slight seasonality was noted in the adverse drug reaction (augmented Dickey–Fuller test [ADF] = −1.96), contraindication (ADF = −2.66) and drug interaction (ADF = −1.67) topics, but did not show an epidemiological trend. Conclusions The greatest public interest was found in the drug overdose and contraindication topics, which showed a stronger upward trend, although the seasonality study did not show any very notable data or demonstrate epidemiological information search behaviour. The main milestone observed was due to media factors related to the consumption of narcotics. There was a clear difference in English-speaking countries in the use of the drug overdose topic. A correlation between the adverse drug reaction and contraindication topics was confirmed. Graphical Abstract

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Identifying older inpatients at high risk of unintentional medication discrepancies: a classification tree analysis

Corvaisier,

Sanchez-Rodriguez,

Sautret

et al. 2023

Aging Clin Exp Res

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Impact of the COVID-19 pandemic on drug-related problems and pharmacist interventions in geriatric acute care units

Cited by 5 publications

References 23 publications

Drug-related problems in patients admitted for SARS-CoV-2 infection during the COVID-19 pandemic

Drug-related problems in patients admitted for SARS-CoV-2 infection during the COVID-19 pandemic

Public interest in drug-related problems reflected in information search trends: an infodemiological study

Identifying older inpatients at high risk of unintentional medication discrepancies: a classification tree analysis

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