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
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 8 of 8 Research Studies DisplayedKamineni M, Ötleş Meng E, Oh J
Prospective evaluation of data-driven models to predict daily risk of Clostridioides difficile infection at 2 large academic health centers.
The purpose of this prospective study was to assess a data-driven approach for Clostridioides difficile infection (CDI) risk prediction that had previously demonstrated a high performance in retrospective evaluations at 2 large academic health centers. The final retrospective cohort included 18,030 admissions (138 CDI cases) at Massachusetts General Hospital (MGH) and 25,341admissions (158 CDI cases) at Michigan Medicine. The prospective cohort included 13,712 admissions (119 CDI cases) at MGH and 26,864 admissions (190 CDI cases) at MM. At MGH, the model achieved area under the receiver operator characteristic curve (AUROC). AUROCs of 0.744 in the retrospective cohort and 0.748 in the prospective cohort. At MM, the model achieved AUROCs of 0.778 in the retrospective cohort and 0.767 in the prospective cohort. The AUROCs for predicting CDI risk on both retrospective and prospective cohorts were similar each month and did not exhibit significant monthly variation throughout either assessment period.
AHRQ-funded; HS027431.
Citation: Kamineni M, Ötleş Meng E, Oh J .
Prospective evaluation of data-driven models to predict daily risk of Clostridioides difficile infection at 2 large academic health centers.
Infect Control Hosp Epidemiol 2023 Jul; 44(7):1163-66. doi: 10.1017/ice.2022.218..
Keywords: Clostridium difficile Infections, Healthcare-Associated Infections (HAIs), Risk
Cabral SM, Goodman KE, Blanco N
Comorbidity and severity-of-illness risk adjustment for hospital-onset Clostridioides difficile infection using data from the electronic medical record.
This study’s objective was to determine whether electronically available comorbidities and laboratory values on admission are risk factors for hospital-onset Clostridioides difficile infection (HO-CDI) across multiple institutions and whether they could be used to improve risk adjustment. Adult patients admitted to 3 hospitals in Maryland from 2016 to 2018 were included. Patients with comorbid conditions were assigned using the Elixhauser comorbidity index. Standardized infection rates (SIRs) were computed using current CDC risk adjustment methodology and included the addition of Elixhauser score and individual comorbidities. Hospital 1 had 314 (0.65%) of patients with a HO-CDI, Hospital 2 had 41 (0.47%) with a HO-CDI, and Hospital 3 had 75 (0.26%) with a HO-CDI. Elixhauser score in multivariable regression was a significant risk factor for HO-CDI at all hospitals when controlling for age, antibiotic user, and antacid use. Abnormal leukocyte level at hospital admission was a significant risk factor at hospitals 1 and 2. Including the Elixhauser score in the risk adjustment model was statistically significant.
AHRQ-funded; HS022291.
Citation: Cabral SM, Goodman KE, Blanco N .
Comorbidity and severity-of-illness risk adjustment for hospital-onset Clostridioides difficile infection using data from the electronic medical record.
Infect Control Hosp Epidemiol 2021 Aug;42(8):955-61. doi: 10.1017/ice.2020.1344..
Keywords: Clostridium difficile Infections, Healthcare-Associated Infections (HAIs), Hospitals, Risk
Song J, Cohen B, Zachariah P
Temporal change of risk factors in hospital-acquired Clostridioides difficile infection using time-trend analysis.
Given recent changes in the epidemiology of Clostridioides difficile infection (CDI) and prevention efforts, the authors investigated temporal changes over a period of 11 years (2006-2016) in incidence and risk factors for CDI using a retrospective matched case-control study design. The investigators concluded that although the incidence of HA-CDI decreased over time, CA-CDI simultaneously increased.
Citation: Song J, Cohen B, Zachariah P .
Temporal change of risk factors in hospital-acquired Clostridioides difficile infection using time-trend analysis.
Infect Control Hosp Epidemiol 2020 Sep;41(9):1048-57. doi: 10.1017/ice.2020.206..
Keywords: Clostridium difficile Infections, Healthcare-Associated Infections (HAIs), Risk, Patient Safety
Harris AD, Sbarra AN, Leekha S
Electronically available comorbid conditions for risk prediction of healthcare-associated Clostridium difficile infection.
This study analyzed whether electronically available comorbid conditions are risk factors for Centers for Disease Control and Prevention (CDC)-defined, hospital-onset Clostridium difficile infection (CDI) after controlling for antibiotic and gastric acid suppression therapy use. It concluded that comorbid conditions are important risk factors for CDI.
AHRQ-funded; HS022291.
Citation: Harris AD, Sbarra AN, Leekha S .
Electronically available comorbid conditions for risk prediction of healthcare-associated Clostridium difficile infection.
Infect Control Hosp Epidemiol 2018 Mar;39(3):297-301. doi: 10.1017/ice.2018.10.
.
.
Keywords: Clostridium difficile Infections, Electronic Health Records (EHRs), Healthcare-Associated Infections (HAIs), Patient Safety, Risk
Cannon CM, Musuuza JS, Barker AK
Risk of Clostridium difficile infection in hematology-oncology patients colonized with toxigenic C. difficile.
This study determined that the prevalence of colonization with toxigenic Clostridium difficile among patients with hematological malignancies and/or bone marrow transplant at admission to a 566-bed academic medical care center was 9.3 percent. Thirteen percent of colonized patients developed symptomatic disease during hospitalization. This population may benefit from targeted C. difficile infection control interventions.
AHRQ-funded; HS024039; HS023791.
Citation: Cannon CM, Musuuza JS, Barker AK .
Risk of Clostridium difficile infection in hematology-oncology patients colonized with toxigenic C. difficile.
Infect Control Hosp Epidemiol 2017 Jun;38(6):718-20. doi: 10.1017/ice.2017.48.
.
.
Keywords: Cancer, Clostridium difficile Infections, Healthcare-Associated Infections (HAIs), Patient Safety, Risk
Anderson DJ, Rojas LF, Watson S
Identification of novel risk factors for community-acquired Clostridium difficile infection using spatial statistics and geographic information system analyses.
The rate of community-acquired Clostridium difficile infection (CA-CDI) is increasing. While receipt of antibiotics remains an important risk factor for CDI, studies related to acquisition of C. difficile outside of hospitals are lacking. This study found that proximity to a livestock farm (0.01), proximity to farming raw materials services (0.02), and proximity to a nursing home (0.04) were independently associated with increased rates of CA-CDI.
AHRQ-funded; HS023866.
Citation: Anderson DJ, Rojas LF, Watson S .
Identification of novel risk factors for community-acquired Clostridium difficile infection using spatial statistics and geographic information system analyses.
PLoS One 2017 May 16;12(5):e0176285. doi: 10.1371/journal.pone.0176285.
.
.
Keywords: Clostridium difficile Infections, Community-Acquired Infections, Risk, Patient Safety
Dubberke ER, Olsen MA, Stwalley D
Identification of Medicare recipients at highest risk for Clostridium difficile infection in the US by population attributable risk analysis.
This study determined the population attributable risk percent (PAR%) for Clostridium difficile infection (CDI) in various subpopulations in the Medicare 5% random sample. It found that small and identifiable subpopulations that account for relatively large proportions of CDI cases in the elderly were identified. These data can be used to target specific subpopulations for CDI prevention interventions.
AHRQ-funded; HS019455.
Citation: Dubberke ER, Olsen MA, Stwalley D .
Identification of Medicare recipients at highest risk for Clostridium difficile infection in the US by population attributable risk analysis.
PLoS One 2016 Feb 9;11(2):e0146822. doi: 10.1371/journal.pone.0146822.
.
.
Keywords: Medicare, Clostridium difficile Infections, Healthcare-Associated Infections (HAIs), Risk
Safdar N, Perencevich E
Crossing the quality chasm for Clostridium difficile infection prevention.
The author comments on a new population-based cohort study (Daneman, et al.) in the same journal issue on the association of hospital prevention processes and patient risk factors with the risk of Clostridium difficile infection. She concludes that the findings of the study are important and should serve as a wake-up call for institutions to participate actively in assessing and evaluating implementation of and adherence to CDI prevention practices.
AHRQ-funded; HS023791.
Citation: Safdar N, Perencevich E .
Crossing the quality chasm for Clostridium difficile infection prevention.
BMJ Qual Saf 2015 Jul;24(7):409-11. doi: 10.1136/bmjqs-2015-004344..
Keywords: Clostridium difficile Infections, Risk, Healthcare-Associated Infections (HAIs), Prevention