National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Adverse Events (1)
- Children/Adolescents (1)
- Community-Acquired Infections (1)
- Depression (1)
- Elderly (3)
- Electronic Health Records (EHRs) (2)
- (-) Emergency Department (5)
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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 5 of 5 Research Studies DisplayedTopaz M, Woo K, Ryvicker M
Home healthcare clinical notes predict patient hospitalization and emergency department visits.
About 30% of home healthcare patients are hospitalized or visit an emergency department (ED) during a home healthcare (HHC) episode. Novel data science methods are increasingly used to improve identification of patients at risk for negative outcomes. The aim of the study was to identify patients at heightened risk hospitalization or ED visits using HHC narrative data (clinical notes).
AHRQ-funded; HS027742.
Citation: Topaz M, Woo K, Ryvicker M .
Home healthcare clinical notes predict patient hospitalization and emergency department visits.
Nurs Res 2020 Nov/Dec;69(6):448-54. doi: 10.1097/nnr.0000000000000470..
Keywords: Elderly, Home Healthcare, Emergency Department, Hospitalization, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Griffey RT, Schneider RM, Todorov AA
The emergency department trigger tool: a novel approach to screening for quality and safety events.
The goal of this study was to develop an automated version of a previously developed emergency department (ED) trigger tool to track the likelihood of an adverse event. Thirty triggers were associated with risk of harm. The authors identified 1,726 records out of 76,894 ED visits with greater than or equal to 1 trigger. They compared the results of the automated tool to the previous version and found it performed well. They began with a broad set of candidate triggers and validated a computerized query that eliminates the need for manual screening of triggers and also identified a refined set of triggers associated with adverse events in the ED.
AHRQ-funded; HS025052.
Citation: Griffey RT, Schneider RM, Todorov AA .
The emergency department trigger tool: a novel approach to screening for quality and safety events.
Ann Emerg Med 2020 Aug;76(2):230-40. doi: 10.1016/j.annemergmed.2019.07.032..
Keywords: Emergency Department, Patient Safety, Adverse Events, Medical Errors, Quality of Care, Risk
Shang J, Russell D, Dowding D
A predictive risk model for infection-related hospitalization among home healthcare patients.
Infection prevention is a high priority for home healthcare (HHC), but tools are lacking to identify patients at highest risk of developing infections. The purpose of this study was to develop and test a predictive risk model to identify HHC patients at risk of an infection-related hospitalization or emergency department visit. A nonexperimental study using secondary data was conducted.
AHRQ-funded; HS024723.
Citation: Shang J, Russell D, Dowding D .
A predictive risk model for infection-related hospitalization among home healthcare patients.
J Healthc Qual 2020 May/Jun;42(3):136-47. doi: 10.1097/jhq.0000000000000214..
Keywords: Elderly, Home Healthcare, Infectious Diseases, Community-Acquired Infections, Risk, Hospitalization, Emergency Department
Scott HF, Colborn KL, Sevick CJ
Development and validation of a predictive model of the risk of pediatric septic shock using data known at the time of hospital arrival.
The purpose of this observational cohort study was to derive and validate a model of risk of septic shock among children with suspected sepsis, using data known in the electronic health record at hospital arrival. The investigators concluded that their model estimated the risk of septic shock in children at hospital arrival earlier than existing models. They indicate it leveraged the predictive value of routine electronic health record data through a modern predictive algorithm and suggest it has the potential to enhance clinical risk stratification in the critical moments before deterioration.
AHRQ-funded; HS025696.
Citation: Scott HF, Colborn KL, Sevick CJ .
Development and validation of a predictive model of the risk of pediatric septic shock using data known at the time of hospital arrival.
J Pediatr 2020 Feb;217:145-51.e6. doi: 10.1016/j.jpeds.2019.09.079..
Keywords: Children/Adolescents, Sepsis, Emergency Department, Hospitals, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Albrecht JS, Gruber-Baldini AL, Hirshon JM
Depressive symptoms and hospital readmission in older adults.
The purpose of this study was to quantify the risk of 30-day unplanned hospital readmission in adults aged 65 and older with depressive symptoms. The investigators concluded that, although not associated with hospital readmission, depressive symptoms were associated with other poor outcomes and may be underdiagnosed in hospitalized older adults. They asserted that hospitals interested in reducing readmission should focus on older adults with more comorbid illness and recent hospitalizations.
AHRQ-funded; HS021068.
Citation: Albrecht JS, Gruber-Baldini AL, Hirshon JM .
Depressive symptoms and hospital readmission in older adults.
J Am Geriatr Soc 2014 Mar;62(3):495-9. doi: 10.1111/jgs.12686..
Keywords: Depression, Elderly, Emergency Department, Hospital Readmissions, Risk