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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedMcKinnell JA, Singh RD, Miller LG
The SHIELD Orange County project: multidrug-resistant organism prevalence in 21 nursing homes and long-term acute care facilities in Southern California.
The authors reported baseline multidrug-resistant organism (MDRO) prevalence in 21 nursing homes (NHs) and long-term acute care facilities (LTACs). They found that prevalence of MDROs was 65% in NHs and 80% in LTACs. They concluded that the majority of NH residents and LTAC patients harbor MDROs, and that MDRO status is frequently unknown to the facility. The high MDRO prevalence highlights the need for prevention efforts in NHs/LTACs as part of regional efforts to control MDRO spread.
AHRQ-funded; HS023317.
Citation: McKinnell JA, Singh RD, Miller LG .
The SHIELD Orange County project: multidrug-resistant organism prevalence in 21 nursing homes and long-term acute care facilities in Southern California.
Clin Infect Dis 2019 Oct 15;69(9):1566-73. doi: 10.1093/cid/ciz119.
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Keywords: Nursing Homes, Long-Term Care, Methicillin-Resistant Staphylococcus aureus (MRSA), Healthcare-Associated Infections (HAIs), Patient Safety
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