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
Topics
- Children/Adolescents (1)
- Elderly (1)
- (-) Hospital Readmissions (4)
- Intensive Care Unit (ICU) (1)
- Medicare (1)
- Neonatal Intensive Care Unit (NICU) (1)
- Newborns/Infants (1)
- Patient Safety (1)
- Quality Improvement (1)
- (-) Quality Indicators (QIs) (4)
- Quality Measures (2)
- Quality of Care (1)
- Rehabilitation (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 4 of 4 Research Studies DisplayedLorch SA, Passarella M, Zeigler A
Challenges to measuring variation in readmission rates of neonatal intensive care patients.
The authors examined the viability of a hospital readmission quality metric for infants requiring neonatal intensive care. They found that the California cohort showed significant variation in hospital-level readmission rates, supporting the premise that readmission rates of prematurely born infants may reflect care quality. However, state data did not include term and early term infants requiring neonatal intensive care, and there were extensive missing data in the few states with sufficient information on managed care patients to calculate state-level measures. They concluded that constructing a valid readmission measure for NICU care across diverse states and regions requires improved data collection.
AHRQ-funded; HS018661; HS020508.
Citation: Lorch SA, Passarella M, Zeigler A .
Challenges to measuring variation in readmission rates of neonatal intensive care patients.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S47-53. doi: 10.1016/j.acap.2014.06.010.
.
.
Keywords: Neonatal Intensive Care Unit (NICU), Newborns/Infants, Quality Indicators (QIs), Quality Measures, Hospital Readmissions
Nakamura MM, Toomey SL, Zaslavsky AM
Measuring pediatric hospital readmission rates to drive quality improvement.
The investigators sought to describe the importance of readmissions in children and the challenges of developing readmission quality measures. They found that the policy focus on readmissions has motivated widespread efforts by hospitals and outpatient providers to evaluate and reengineer care processes.
AHRQ-funded; HS020513; HS020508.
Citation: Nakamura MM, Toomey SL, Zaslavsky AM .
Measuring pediatric hospital readmission rates to drive quality improvement.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S39-46. doi: 10.1016/j.acap.2014.06.012.
.
.
Keywords: Children/Adolescents, Quality Improvement, Quality Indicators (QIs), Quality Measures, Hospital Readmissions
Brown SE, Ratcliffe SJ, Halpern SD
An empirical comparison of key statistical attributes among potential ICU quality indicators.
The researchers assessed the performance of candidate indicators of ICU quality based on face validity, relevance to patients, ability to be measured reliably, sufficient variability to identify poor performers, relative insensitivity to severity adjustment, and the ability to capture what providers do rather than patients' characteristics. They concluded that no indicator performed optimally across assessments and recommended that future research seek to define and operationalize quality in a way that is relevant to both patients and providers.
AHRQ-funded; HS018406.
Citation: Brown SE, Ratcliffe SJ, Halpern SD .
An empirical comparison of key statistical attributes among potential ICU quality indicators.
Crit Care Med 2014 Aug;42(8):1821-31. doi: 10.1097/ccm.0000000000000334.
.
.
Keywords: Quality of Care, Intensive Care Unit (ICU), Patient Safety, Quality Indicators (QIs), Hospital Readmissions
Ottenbacher KJ, Karmarkar A, Graham JE
Thirty-day hospital readmission following discharge from postacute rehabilitation in fee-for-service Medicare patients.
This study sought to determine 30-day readmission rates and factors related to readmission for patients receiving postacute inpatient rehabilitation. It found that among postacute rehabilitation facilities providing services to Medicare fee-for-service beneficiaries, 30-day readmission rates ranged from 5.8 percent to 18.8 percent for selected impairment groups.
AHRQ-funded; HS022134.
Citation: Ottenbacher KJ, Karmarkar A, Graham JE .
Thirty-day hospital readmission following discharge from postacute rehabilitation in fee-for-service Medicare patients.
JAMA 2014 Feb 12;311(6):604-14. doi: 10.1001/jama.2014.8..
Keywords: Hospital Readmissions, Medicare, Rehabilitation, Elderly, Quality Indicators (QIs)