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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 3 of 3 Research Studies DisplayedHerzig SJ, Rothberg MB, Moss CR
Risk of in-hospital falls among medications commonly used for insomnia in hospitalized patients.
This study investigated the risk of in-hospital falls among patients receiving medications commonly used for insomnia. This retrospective cohort study was conducted at a large academic medical center from January 2007 to July 2013. Adults admitted for a primary psychiatric disorder were excluded. Medications of interest included benzodiazepines, non-benzodiazepine benzodiazepine receptor agonists, trazodone, atypical antipsychotics, and diphenhydramine. Among 225,498 hospitalizations, 37.7% had exposure to at least one of the medication classes of interest with benzodiazepines being the most commonly prescribed. A fall occurred in 1.1% (2,427) of hospitalizations. The rate of falls per 1,000 hospital days was greater among patients with exposure to each of the medications of interest compared to unexposed patients.
AHRQ-funded; HS026215.
Citation: Herzig SJ, Rothberg MB, Moss CR .
Risk of in-hospital falls among medications commonly used for insomnia in hospitalized patients.
Sleep 2021 Sep 13;44(9):zsab064. doi: 10.1093/sleep/zsab064..
Keywords: Falls, Medication, Adverse Events, Risk, Hospitals
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
Ye S, Hiura G, Fleck E
Hospital readmissions after implementation of a discharge care program for patients with COVID-19 illness.
The surge of coronavirus 2019 (COVID-19) hospitalizations in New York City required rapid discharges to maintain hospital capacity. The objective of this study was to determine whether lenient provisional discharge guidelines with remote monitoring after discharge resulted in safe discharges home for patients hospitalized with COVID-19 illness. The investigators found that lenient discharge criteria in conjunction with remote monitoring after discharge were associated with a rate of early readmissions after COVID-related hospitalizations that was comparable to the rate of readmissions after other reasons for hospitalization before the COVID pandemic.
AHRQ-funded; HS024262; HS025198.
Citation: Ye S, Hiura G, Fleck E .
Hospital readmissions after implementation of a discharge care program for patients with COVID-19 illness.
J Gen Intern Med 2021 Mar;36(3):722-29. doi: 10.1007/s11606-020-06340-w..
Keywords: COVID-19, Hospital Discharge, Hospital Readmissions, Hospitals, Public Health, Hospitalization, Risk