抗生素消费与社会人口因素、合并症和初级卫生保健可及性的关系。

Anders Ternhag, Maria Grünewald, Pontus Nauclér, Karin Tegmark Wisell
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引用次数: 25

摘要

背景:个体之间抗生素使用的差异不仅是由于原发性感染发病率的差异,其他非医学因素也很重要。我们的目的是调查社会人口因素、合并症和获得初级保健如何影响抗生素处方。方法:研究人群包括2010年期间接受过至少一种抗生素处方的瑞典所有2078481人,以及不匹配的对照人群788580人。我们使用记录链接来获得有关合并症、各种社会人口变量和初级保健预约医生等待时间的数据。我们使用逻辑回归来估计抗生素处方的优势比(ORs)。结果:结果显示,2010年处方抗生素的比例超过20%。0-5岁的儿童、≥75岁的老年人、生活在城市地区的人以及女性比男性得到的处方更多。共发病是决定抗生素处方数量的一个重要因素:在调整分析中,与没有共发病(Charlson指数为0)的患者相比,Charlson指数≥3的患者获得抗生素的OR为3.03 (95% CI: 3.00-3.07)。在初级保健中,较短的就诊等待时间与较高的抗生素处方数量相关。与在其他国家出生的人相比,在瑞典出生的人被开了更多的抗生素。具体来说,出生在27个欧盟国家(不包括斯堪的纳维亚半岛)的人与本地出生的人相比,抗生素处方的OR为0.78 (95% CI: 0.77-0.78)。结论:非医学因素对抗生素处方影响较大。
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Antibiotic consumption in relation to socio-demographic factors, co-morbidity, and accessibility of primary health care.

Background: Differences in antibiotic consumption between individuals are not only due to differences in primary infection morbidity, other non-medical factors are important. Our objective was to investigate how socio-demographic factors, co-morbidity, and access to primary care affect antibiotic prescribing.

Methods: The study population included all 2 078 481 persons in Sweden who received at least one antibiotic prescription during 2010, and an unmatched control population of 788 580 individuals. We used record linkage to obtain data on co-morbidity, various socio-demographic variables, and waiting times for doctor appointments in primary care. We used logistic regression to estimate odds ratios (ORs) for antibiotic prescription.

Results: The results showed that over 20% of the population were prescribed antibiotics during 2010. Children aged 0-5 years, persons ≥ 75 years of age, those living in urban areas, and women compared with men, received many prescriptions. Co-morbidity was a strong factor that determined the number of antibiotic prescriptions: those with Charlson's index ≥ 3 had an OR of 3.03 (95% CI: 3.00-3.07) to obtain antibiotics in the adjusted analysis, compared with individuals without co-morbidity (Charlson's index 0). Short waiting times for a doctor's visit in primary care were associated with a higher number of antibiotic prescriptions. Individuals born in Sweden were prescribed more antibiotics compared with those born in another country. Specifically, persons born in any of the 27 EU countries (excluding Scandinavia) had an OR of antibiotic prescription of 0.78 (95% CI: 0.77-0.78) compared with native-born individuals.

Conclusions: We conclude that non-medical factors strongly influence antibiotic prescriptions.

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