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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

Published online by Cambridge University Press:  05 April 2023

Mette Assenholm Kristensen*
Affiliation:
Department of Clinical Microbiology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
Julia Skov Abrantes
Affiliation:
Department of Quality, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark
Hanne Irene Jensen
Affiliation:
Department of Regional Health Research, University of Southern Denmark, Odense, Denmark Department of Anesthesiology and Intensive Care, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark
Christian Backer Mogensen
Affiliation:
Department of Regional Health Research, University of Southern Denmark, Odense, Denmark Department of Emergency Medicine, Hospital Sønderjylland, University Hospital of Southern Denmark, Aabenraa, Denmark
Jens Søndergaard
Affiliation:
Research Unit of General Practice, Department of Public Health, University of Southern Denmark,Odense, Denmark
Jens Kjølseth Møller
Affiliation:
Department of Clinical Microbiology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
*
Author for correspondence: Mette Assenholm Kristensen, E-mail: mette.assenholm.kristensen@rsyd.dk
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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.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Fig. 1. Treatment of MRSA carriage: Posttreatment follow-up and successful decolonization treatment.

Figure 1

Table 1. Variables Describing Socioeconomic Factors

Figure 2

Fig. 2. Participants flow diagram.

Figure 3

Table 2. Baseline Demographic and Clinical Characteristics for Individuals Treated for MRSA Carriagea

Figure 4

Table 3a. Cluster Analysis in a Multivariable Logistic Regression Model Analyzing the Association Between Socioeconomic Factors and Adherence to MRSA Posttreatment Follow-Up Swab Sampling After 1 Montha

Figure 5

Table 3b. Cluster Analysis in a Multivariable Logistic Regression Model Analyzing the Association Between Socioeconomic Factors and Adherence to MRSA Posttreatment Follow-Up Swab Sampling After 6 Monthsa

Figure 6

Table 4. Cluster Analysis in a Multivariable Logistic Regression Model Analyzes the Association Between Socioeconomic Factors and Successful Decolonization Treatmenta

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