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秘鲁轻度 COVID-19 患者中无科学证据的药物使用相关因素。

Factors Associated With Drug Consumption Without Scientific Evidence in Patients With Mild COVID-19 in Peru.

机构信息

From the Unidad de Investigación Clínica y Epidemiológica, Escuela de Medicina, Universidad Peruana Unión, Lima.

Universidad Peruana de Ciencias Aplicadas, Facultad de Medicina.

出版信息

J Patient Saf. 2022 Dec 1;18(8):e1189-e1195. doi: 10.1097/PTS.0000000000001053. Epub 2022 Jul 21.

DOI:10.1097/PTS.0000000000001053
PMID:35858482
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9696683/
Abstract

OBJECTIVE

This study aimed to evaluate the factors associated with the consumption of drugs without scientific evidence in patients with mild COVID-19 infection in Peru.

METHODS

An analytical cross-sectional study was carried out including 372 adult patients with a history of mild COVID-19 disease. Factors associated with drug consumption were evaluated by Poisson regressions with robust variance adjustment using the bootstrapping resampling method.

RESULTS

Seventy-two percent consumed some medication without scientific evidence, with antibiotics (71%) and ivermectin for human use (68%) being the most commonly used. Factors associated with the consumption of drugs to treat mild COVID-19 infection were thinking that the drugs are not effective (adjusted prevalence ratio, 0.55; 95% confidence interval, 0.41-0.74) and not being informed about the efficacy of the drugs (adjusted prevalence ratio, 0.48; 95% confidence interval, 0.36-0.65).

CONCLUSIONS

Education of the population seems to be the main factor that increases the consumption of drugs without scientific evidence in the Peruvian population to treat mild COVID-19.

摘要

目的

本研究旨在评估秘鲁轻度 COVID-19 感染患者中与使用无科学证据药物相关的因素。

方法

开展了一项分析性横断面研究,纳入 372 名有轻度 COVID-19 病史的成年患者。采用泊松回归分析,并使用 bootstrap 重采样方法调整稳健方差,评估与药物使用相关的因素。

结果

72%的患者使用了一些无科学证据的药物,其中最常使用的是抗生素(71%)和人用伊维菌素(68%)。与治疗轻度 COVID-19 感染使用药物相关的因素包括认为药物无效(调整后患病率比,0.55;95%置信区间,0.41-0.74)和未被告知药物的疗效(调整后患病率比,0.48;95%置信区间,0.36-0.65)。

结论

对民众进行教育似乎是增加秘鲁民众使用无科学证据药物治疗轻度 COVID-19 的主要因素。

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