National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
Topics
- Antibiotics (2)
- Antimicrobial Stewardship (1)
- Children/Adolescents (1)
- Education: Patient and Caregiver (1)
- Elderly (1)
- Emergency Department (1)
- (-) Healthcare-Associated Infections (HAIs) (7)
- Hospital Discharge (1)
- Infectious Diseases (4)
- Long-Term Care (2)
- Medication (2)
- (-) Methicillin-Resistant Staphylococcus aureus (MRSA) (7)
- Nursing Homes (2)
- Patient Safety (3)
- Practice Patterns (1)
- Prevention (2)
- Risk (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 7 of 7 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.
.
.
Keywords: Antimicrobial Stewardship, Antibiotics, Medication, Methicillin-Resistant Staphylococcus aureus (MRSA), Healthcare-Associated Infections (HAIs), Infectious Diseases, Prevention, Practice Patterns
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.
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.
.
.
Keywords: Nursing Homes, Long-Term Care, Methicillin-Resistant Staphylococcus aureus (MRSA), Healthcare-Associated Infections (HAIs), 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)
Liang SY, Jansson DR, Hogan PG
Emergency department environmental contamination with methicillin-Resistant Staphylococcus aureus after care of colonized patients.
This study examined transmission of Methicillin-resistant Staphylococcus aureus (MRSA) in emergency departments (EDs) after care of colonized patients. The effect of MRSA infected patients’ visits to emergency rooms was studied after patients’ discharge and before environmental disinfection. Cultures from 5 anatomic sites were obtained and also from ED rooms. Nineteen of the 25 ED rooms that were occupied by MRSA-colonized patients contained greater than or equal to 1 MRSA-contaminated environmental surface. The room was more likely to be contaminated if there was more than 1 body site colonized on a patient. The strain was matched with the patient in 16 of the 19 ED rooms where MRSA was recovered. This study emphasized the importance of environmental surface disinfection to reduce MRSA transmission in EDs.
AHRQ-funded; HS021736; HS024269.
Citation: Liang SY, Jansson DR, Hogan PG .
Emergency department environmental contamination with methicillin-Resistant Staphylococcus aureus after care of colonized patients.
Ann Emerg Med 2019 Jul;74(1):50-55. doi: 10.1016/j.annemergmed.2018.12.014..
Keywords: Emergency Department, Methicillin-Resistant Staphylococcus aureus (MRSA), Healthcare-Associated Infections (HAIs)
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
Huang SS, Singh R, McKinnell JA
Decolonization to reduce postdischarge infection risk among MRSA carriers.
This study compared postdischarge methicillin-resistant Staphylococcus aureus (MRSA) rates in study participant who received education alone versus decolonization and education. Decolonization was done with chlorhexidine mouthwash and showers, and nasal sprays. Decolonization with education resulted in a 30% reduction in MRSA infection versus education alone.
AHRQ-funded; HS019388.
Citation: Huang SS, Singh R, McKinnell JA .
Decolonization to reduce postdischarge infection risk among MRSA carriers.
N Engl J Med 2019 Feb 14;380(7):638-50. doi: 10.1056/NEJMoa1716771..
Keywords: Education: Patient and Caregiver, Healthcare-Associated Infections (HAIs), Hospital Discharge, Methicillin-Resistant Staphylococcus aureus (MRSA), Prevention, Risk
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