National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (1)
- Care Coordination (1)
- Children/Adolescents (1)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (1)
- Health Information Technology (HIT) (1)
- (-) Hospital Readmissions (5)
- (-) Hospitals (5)
- Provider Performance (1)
- Quality Improvement (1)
- (-) Quality Indicators (QIs) (5)
- Quality Measures (2)
- Quality of Care (4)
- Respiratory Conditions (1)
- Transitions of Care (1)
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 DisplayedElysee G, Yu H, Herrin J
Association between 30-day readmission rates and health information technology capabilities in US hospitals.
A study was conducted to determine if there is an association of health information technology (HIT) adoption and a decrease in 30-day hospital readmission rates. Data was used from the 2013 American Hospital Association IT survey which included non-federal U.S. acute care hospitals with self-reported capabilities. A 54-indicator 7-factor structure of hospital health IT capabilities was identified by exploratory factor analysis. A one-point increase in the hospital adoption of patient engagement capability latent scores generally leads to a 0.086% decrease in risk-standardized readmission rates (RSRRs). However, computerized hospital discharge and information exchange among clinicians did not seem as beneficial.
AHRQ-funded; HS022882.
Citation: Elysee G, Yu H, Herrin J .
Association between 30-day readmission rates and health information technology capabilities in US hospitals.
Medicine 2021 Feb 26;100(8):e24755. doi: 10.1097/md.0000000000024755..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospital Readmissions, Hospitals, Quality Indicators (QIs), Quality of Care
Gupta S, Zengul FD, Davlyatov GK
Reduction in hospitals' readmission rates: role of hospital-based skilled nursing facilities.
The purpose of this study was to examine the association between hospital-based skilled nursing facilities (HBSNFs) and hospitals' readmission rates. Data sources included the American Hospital Association Annual Survey, Area Health Resources Files, CMS Medicare cost reports and Hospital Compare. Results showed that the presence of HBSNFs was associated with lower readmission rates for acute myocardial infarction and pneumonia. Further, higher skilled nursing facilities to hospitals ratio were associated with lower readmission rates.
AHRQ-funded; HS023345.
Citation: Gupta S, Zengul FD, Davlyatov GK .
Reduction in hospitals' readmission rates: role of hospital-based skilled nursing facilities.
Inquiry 2019 Jan-Dec;56:46958018817994. doi: 10.1177/0046958018817994..
Keywords: Hospital Readmissions, Transitions of Care, Care Coordination, Hospitals, Quality Indicators (QIs), Quality Measures, Quality of Care
Kaiser SV, Lam R, Joseph GB
Limitations of using pediatric respiratory illness readmissions to compare hospital performance.
Researcher sought to determine if a National Quality Forum (NQF)-endorsed measure for pediatric lower respiratory illness (LRI) 30-day readmission rates can meaningfully identify high- and low-performing hospitals. Subjects were children with LRI (bronchiolitis, influenza, or pneumonia as primary diagnosis, or with an LRI as a secondary diagnosis with a primary diagnosis of respiratory failure, sepsis, bacteremia, or asthma) from all hospital admissions in California from 2012 to 2014. The researchers were unable to identify meaningful variation in hospital performance without broadening the metric definition and merging multiple years of data. They recommend that utilizers of pediatric-quality measures consider modifying metrics to better evaluate the quality of pediatric care at low-volume hospitals.
AHRQ-funded; HS024385; HS022835; HS024592; HS025297.
Citation: Kaiser SV, Lam R, Joseph GB .
Limitations of using pediatric respiratory illness readmissions to compare hospital performance.
J Hosp Med 2018 Nov;13(11):737-42. doi: 10.12788/jhm.2988..
Keywords: Children/Adolescents, Respiratory Conditions, Provider Performance, Hospital Readmissions, Hospitals, Quality Indicators (QIs), Quality Measures, Quality of Care, Quality Improvement
Goldberg EM, Morphis B, Youssef R
An analysis of diagnoses that drive readmission: what can we learn from the hospitals in Southern New England with the highest and lowest readmission performance?
This study examined the most common diagnoses driving readmissions among fee-for-service Medicare beneficiaries in the hospitals with the highest and lowest readmission performance in Southern New England from 2014 to 2016. It found that the lowest-performing hospitals readmitted higher percentages of patients for sepsis and complications of device, implant, or graft, compared to highest-performing hospitals.
AHRQ-funded; HS000011.
Citation: Goldberg EM, Morphis B, Youssef R .
An analysis of diagnoses that drive readmission: what can we learn from the hospitals in Southern New England with the highest and lowest readmission performance?
R I Med J 2017 Aug;100(8):23-28.
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Keywords: Adverse Events, Diagnostic Safety and Quality, Hospital Readmissions, Hospitals, Quality Indicators (QIs)
Chin DL, Bang H, Manickam RN
Rethinking thirty-day hospital readmissions: shorter intervals might be better indicators of quality of care.
The researchers examined risk-standardized thirty-day risk of unplanned inpatient readmission at the hospital level for Medicare patients ages sixty-five and older in four states and for three conditions: acute myocardial infarction, heart failure, and pneumonia. The hospital-level quality signal captured in readmission risk was highest on the first day after discharge and declined rapidly until it reached a nadir at seven days, as indicated by a decreasing intracluster correlation coefficient.
AHRQ-funded; HS022236.
Citation: Chin DL, Bang H, Manickam RN .
Rethinking thirty-day hospital readmissions: shorter intervals might be better indicators of quality of care.
Health Aff 2016 Oct;35(10):1867-75. doi: 10.1377/hlthaff.2016.0205.
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Keywords: Hospital Readmissions, Quality of Care, Hospitals, Quality Indicators (QIs)