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Search All Research Studies
Topics
- Antibiotics (2)
- Antimicrobial Stewardship (1)
- Children/Adolescents (1)
- Community-Acquired Infections (2)
- Elderly (1)
- Healthcare-Associated Infections (HAIs) (4)
- (-) Infectious Diseases (6)
- Long-Term Care (1)
- Medication (2)
- (-) Methicillin-Resistant Staphylococcus aureus (MRSA) (6)
- Nursing Homes (1)
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- Prevention (1)
- Sepsis (1)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 6 of 6 Research Studies DisplayedChiotos K, Rock C, Schweizer ML
Current infection prevention and antibiotic stewardship program practices: a survey of the Society for Healthcare Epidemiology of America (SHEA) Research Network (SRN).
This survey compares results with a similar 2013 survey that characterizes contemporary infection prevention and antibiotic stewardship program practices across 64 healthcare facilities. There was decreased frequency of active surveillance for MRSA, frequent active surveillance for carbapenem-resistant Enterobacteriaceae, and increased support for antibiotic stewardship programs.
AHRQ-funded; HS026393.
Citation: Chiotos K, Rock C, Schweizer ML .
Current infection prevention and antibiotic stewardship program practices: a survey of the Society for Healthcare Epidemiology of America (SHEA) Research Network (SRN).
Infect Control Hosp Epidemiol 2019 Sep;40(9):1046-49. doi: 10.1017/ice.2019.172.
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Keywords: Antimicrobial Stewardship, Antibiotics, Medication, Methicillin-Resistant Staphylococcus aureus (MRSA), Healthcare-Associated Infections (HAIs), Infectious Diseases, Prevention, Practice Patterns
Parrish KL, Wylie KM, Reich PJ
Carriage of the toxic shock syndrome toxin gene by contemporary community-associated Staphylococcus aureus isolates.
J Pediatric Infect Dis Soc 2019 Nov 6;8(5):470-73. doi: 10.1093/jpids/piy098.
In this study, the investigators report the prevalence of the tst-1 gene among 252 methicillin-susceptible Staphylococcus aureus (MSSA) isolates and 458 methicillin-resistant S aureus (MRSA) isolates collected from 531 subjects between 2008 and 2017.
In this study, the investigators report the prevalence of the tst-1 gene among 252 methicillin-susceptible Staphylococcus aureus (MSSA) isolates and 458 methicillin-resistant S aureus (MRSA) isolates collected from 531 subjects between 2008 and 2017.
AHRQ-funded; HS024269.
Citation: Parrish KL, Wylie KM, Reich PJ .
Carriage of the toxic shock syndrome toxin gene by contemporary community-associated Staphylococcus aureus isolates.
Carriage of the toxic shock syndrome toxin gene by contemporary community-associated Staphylococcus aureus isolates.
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Keywords: Methicillin-Resistant Staphylococcus aureus (MRSA), Infectious Diseases, Community-Acquired Infections, Sepsis, Patient Safety
Khamash DF, Voskertchian A, Tamma PD
Increasing clindamycin and trimethoprim-sulfamethoxazole resistance in pediatric Staphylococcus aureus Infections.
This retrospective observational study looked at pediatric clinical cultures between 2005 and 2017 that grew Staphylococcus aureus culture and their trends in antibiotic resistance. Methicillin resistance declined but clindamycin and trimethoprim-sulfamethoxazole resistance increased significantly.
AHRQ-funded; HS022872.
Citation: Khamash DF, Voskertchian A, Tamma PD .
Increasing clindamycin and trimethoprim-sulfamethoxazole resistance in pediatric Staphylococcus aureus Infections.
J Pediatric Infect Dis Soc 2019 Sep 25;8(4):351-53. doi: 10.1093/jpids/piy062..
Keywords: Children/Adolescents, Antibiotics, Medication, Healthcare-Associated Infections (HAIs), Infectious Diseases, Methicillin-Resistant Staphylococcus aureus (MRSA)
Jarvenpaa M, Sater MRA, Lagoudas GK
A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation.
The authors present a Bayesian model that provides probabilities of whether two bacterial strains could be considered the same. This will help in predicting the spread of infections such as methicillin resistant Staphylococcus aureus (MRSA).
AHRQ-funded; HS019388.
Citation: Jarvenpaa M, Sater MRA, Lagoudas GK .
A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation.
PLoS Comput Biol 2019 Apr 22;15(4):e1006534. doi: 10.1371/journal.pcbi.1006534..
Keywords: Healthcare-Associated Infections (HAIs), Infectious Diseases, Methicillin-Resistant Staphylococcus aureus (MRSA), Patient Safety
Hogan PG, Mork RL, Boyle MG
Interplay of personal, pet, and environmental colonization in households affected by community-associated methicillin-resistant Staphylococcus aureus.
In this study, the investigators sought to determine the prevalence, molecular epidemiology, and factors associated with Staphylococcus aureus environmental surface and pet colonization in households of children with community-associated methicillin-resistant S. aureus (CA-MRSA) infection. The investigators found that household environments and pet dogs and cats serve as reservoirs of MRSA. Household member MRSA colonization burden predicts environmental MRSA contamination. The authors indicated that longitudinal studies will inform the directionality of household transmission.
AHRQ-funded; HS021736; HS024269.
Citation: Hogan PG, Mork RL, Boyle MG .
Interplay of personal, pet, and environmental colonization in households affected by community-associated methicillin-resistant Staphylococcus aureus.
J Infect 2019 Mar;78(3):200-07. doi: 10.1016/j.jinf.2018.11.006..
Keywords: Community-Acquired Infections, Infectious Diseases, Methicillin-Resistant Staphylococcus aureus (MRSA)
Jackson SS, Lydecker AD, Magder LS
Development and validation of a clinical prediction rule to predict transmission of methicillin-resistant Staphylococcus aureus in nursing homes.
This study’s goal was to develop and validate a clinical prediction rule that can predict transmission of methicillin-resistant Staphylococcus aureus (MRSA) in nursing homes. The researchers wanted to identify residents who were most likely to transmit MRSA to health-care workers (HCWs) on their hands or clothing during clinical care. Demographic and clinical characteristic data was used from residents of community nursing homes in Maryland and Michigan from 2012 to 2014. The clinical prediction rule that was developed was then externally validated in a cohort of Department of Veterans Affairs nursing home residents from 7 states between 2012 and 2016. Variables in the prediction model included sex, race, resident dependency on care, the presence of any medical device, diabetes mellitus, and chronic skin breakdown. The prediction model showed good performance although it showed less utility in the validation cohort.
AHRQ-funded; HS019979.
Citation: Jackson SS, Lydecker AD, Magder LS .
Development and validation of a clinical prediction rule to predict transmission of methicillin-resistant Staphylococcus aureus in nursing homes.
Am J Epidemiol 2019 Jan;188(1):214-21. doi: 10.1093/aje/kwy220..
Keywords: Elderly, Healthcare-Associated Infections (HAIs), Infectious Diseases, Long-Term Care, Methicillin-Resistant Staphylococcus aureus (MRSA), Nursing Homes, Patient Safety