The association between socioeconomic factors and the success of decolonization treatment among individuals diagnosed with methicillin-resistant Staphylococcus aureus: A cohort study from 2007 to 2020

社会经济因素与耐甲氧西林金黄色葡萄球菌感染者去定植治疗成功率之间的关联:一项2007年至2020年的队列研究

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Abstract

OBJECTIVES: To examine associations between socioeconomic factors and (1) adherence to methicillin-resistant Staphylococcus aureus (MRSA) posttreatment follow-up swab sampling after 1 and 6 months and (2) successful decolonization treatment. DESIGN: Cohort study with 2 years of follow-up. Data on patients diagnosed with MRSA were extracted from a regional MRSA database and national registries. We used a cluster-based logistic regression model to estimate the adjusted odds ratios (aOR) and 95% confidence interval (CI) for associations between socioeconomic factors and decolonization treatment. SETTING: Danish primary health care. RESULTS: The rate of adherence to posttreatment follow-up swab sampling among 2,536 cases 1 month after decolonization treatment was 66% (95% CI, 64%-68%), and it decreased to 30% (95% CI, 28%-32%) after 6 months. Living in intermediate municipalities (76-159 inhabitants/km2) or having retired were associated with completed posttreatment follow-up swabs 1 month after decolonization treatment: aOR, 1.40 (95% CI, 1.2-1.74) and aOR, 2.67 (95% CI, 1.16-6.13), respectively. The rate of successful decolonization treatment 2 years after initiating treatment was 36% (95% CI, 34%-38%). Factors associated with successful decolonization treatment included individuals with higher education (aOR, 1.62; 95% CI, 1.22-2.15), early retirees (aOR, 1.63; 95% CI, 1.12-2.38), those living in intermediate municipalities (ie, 160-900+ inhabitants/km2; aOR, 1.35; 95% CI, 1.08-1.68), and those living in predominantly urban municipalities (ie, 160-900+ inhabitants/km2; aOR, 2.04; 95% CI, 1.5-2.76). CONCLUSIONS: Disparities in the effect of decolonization treatment and adherence to MRSA follow-up sampling among MRSA-positive individuals appear to be largely explained by the level of education, area of residence, and employment status.

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