National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Care Coordination (1)
- Children/Adolescents (4)
- Elderly (1)
- Healthcare Cost and Utilization Project (HCUP) (2)
- (-) Hospital Readmissions (9)
- Hospitals (4)
- Neonatal Intensive Care Unit (NICU) (1)
- Newborns/Infants (1)
- Provider Performance (3)
- Quality Improvement (2)
- Quality Indicators (QIs) (6)
- (-) Quality Measures (9)
- Quality of Care (6)
- Respiratory Conditions (1)
- Risk (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 9 of 9 Research Studies DisplayedAuger KA, Ponti-Zins MC, Statile AM
Performance of pediatric readmission measures.
Investigators sought to assess how four different measures of pediatric readmission compare with assessment of both preventable and unplanned readmission. The four measures were: all-cause readmission, unplanned readmission/time flag classification, pediatric all-condition readmission, and potentially preventable readmission. They found that none of the existing pediatric readmission measures can reliably determine preventability. The unplanned readmission/time flag measure performed best in identifying unplanned readmissions.
AHRQ-funded; HS024735.
Citation: Auger KA, Ponti-Zins MC, Statile AM .
Performance of pediatric readmission measures.
J Hosp Med 2020 Dec;15(12):723-26. doi: 10.12788/jhm.3521..
Keywords: Children/Adolescents, Hospital Readmissions, Provider Performance, Quality Measures, Quality of Care
Spatz ES, Bernheim SM, Horwitz LI
Community factors and hospital wide readmission rates: does context matter?
The purpose of this study was to estimate the influence of community factors on the Centers for Medicare & Medicaid Services risk-standardized hospital-wide readmission measure (HWR)-a quality performance measure in the U.S. The investigators concluded that readmissions for a wide range of clinical conditions were influenced by factors relating to the communities in which patients reside.
AHRQ-funded; HS022882.
Citation: Spatz ES, Bernheim SM, Horwitz LI .
Community factors and hospital wide readmission rates: does context matter?
PLoS One 2020 Oct 23;15(10):e0240222. doi: 10.1371/journal.pone.0240222..
Keywords: Hospital Readmissions, Hospitals, Provider Performance, Quality Measures, Quality of Care
Nakamura MM, Toomey SL, Zaslavsky AM
Potential impact of initial clinical data on adjustment of pediatric readmission rates.
This study investigated whether the addition of adding initial clinical data to adjust for case-mix (differences in patient populations) improved prediction of pediatric readmissions. Thirty-day readmissions were examined using claims and electronic records for patients aged 18 and younger who were admitted to 3 children’s hospitals from February 2011 to February 2014. The Pediatric All-Condition Readmission Measure was used and started with a model including age, gender, chronic conditions, and primary diagnosis. Initial vital sign and laboratory data was added to see if it improved model performance. Greater readmission risk was found if there was a low red blood cell count and mean corpuscular hemoglobin concentration and high red cell distribution risk. However, it did not provide more than minimal improvement in performance.
AHRQ-funded; HS020513; HS025299.
Citation: Nakamura MM, Toomey SL, Zaslavsky AM .
Potential impact of initial clinical data on adjustment of pediatric readmission rates.
Acad Pediatr 2019 Jul;19(5):589-98. doi: 10.1016/j.acap.2018.09.006..
Keywords: Children/Adolescents, Hospital Readmissions, Risk, Quality Indicators (QIs), Quality Measures, 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
Campione JR, Smith SA, Mardon RE
Hospital-level factors related to 30-day readmission rates.
This study investigates the relationship between inpatient quality of care as measured by the Agency for Healthcare Research and Quality (AHRQ) patient safety indicator (PSI) composite and all-cause, hospital-wide, 30-day readmission rates. It concluded that inpatient quality of care appears to have less influence on hospital readmission rates than do clinical and socioeconomic factors.
AHRQ-funded; 290201200003I.
Citation: Campione JR, Smith SA, Mardon RE .
Hospital-level factors related to 30-day readmission rates.
Am J Med Qual 2017 Jan/Feb;32(1):48-57. doi: 10.1177/1062860615612158.
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Keywords: Quality of Care, Healthcare Cost and Utilization Project (HCUP), Hospital Readmissions, Quality Indicators (QIs), Quality Measures
Thompson MP, Kaplan CM, Cao Y
Reliability of 30-day readmission measures used in the hospital readmission reduction program.
The researchers assessed the reliability of risk-standardized readmission rates (RSRRs) for medical conditions and surgical procedures used in the Hospital Readmission Reduction Program (HRRP). They found that approximately 25 percent of payments for excess readmissions were tied to unreliable RSRRs. Unreliable measures blur the connection between hospital performance and incentives, and threaten the success of the HRRP.
AHRQ-funded; HS023783.
Citation: Thompson MP, Kaplan CM, Cao Y .
Reliability of 30-day readmission measures used in the hospital readmission reduction program.
Health Serv Res 2016 Oct 21;51(6):2095-114. doi: 10.1111/1475-6773.12587.
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Keywords: Healthcare Cost and Utilization Project (HCUP), Hospital Readmissions, Hospitals, Elderly, Quality Measures
Lorch 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.
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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.
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Keywords: Children/Adolescents, Quality Improvement, Quality Indicators (QIs), Quality Measures, Hospital Readmissions