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
AHRQ Research Studies Date
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 DisplayedRoemer M, Schaefer MB, Pickens GT
AHRQ Author: Roemer M
Estimating state-specific population-based hospitalization rates from in-state hospital discharge data.
The purpose of this study was to develop weights to estimate state population-based hospitalization rates for all residents of a state using only data from in-state hospitals. The researchers utilized Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases (SID), for data from 2018-2019, including 47 states plus Washington D.C. and excluding residents treated in other states. SID were based on administrative billing records collected by hospitals, shared with statewide data organizations, and provided to HCUP. The study found that of 34,186,766 discharged patients in 2018, 4.2% were movers. A greater share of movers (vs. stayers) lived in state border and rural counties; a lower share had discharges billed to Medicaid or were hospitalized for maternal/neonatal services. The difference between 2019 observed and estimated total discharges for all included states and D.C. was 9,402. The researchers reported an overestimation of discharges with an expected payer of Medicaid, from the lowest income communities, and for maternal/neonatal care. The researchers reported an underestimation of discharges with an expected payer of private insurance, from the highest income communities, and with injury diagnoses and surgical services. Estimates for the majority of subsets were reported to be not within a 95% confidence interval, attributed to factors such as hospital closures/openings, shifting consumer preferences, and other issues impossible to account for.
AHRQ-authored; AHRQ-funded; 290201800001C.
Citation: Roemer M, Schaefer MB, Pickens GT .
Estimating state-specific population-based hospitalization rates from in-state hospital discharge data.
Health Serv Res 2023 Dec; 58(6):1314-27. doi: 10.1111/1475-6773.14216..
Keywords: Healthcare Cost and Utilization Project (HCUP), Hospitalization, Hospital Discharge
Cavallaro SC, Michelson KA, D'Ambrosi G
Critical revisits among children after emergency department discharge.
This retrospective study’s objectives were to determine the rate of critical emergency department (ED) revisits among children discharged from the ED and to identify factors associated with critical revisits. Using the HCUP State ED Databases (SEDD) and State Inpatient Databases (SID), researchers examined data from six states, including patients under 21 years old. The findings indicated that critical ED revisits after discharge were uncommon and patient death within three days of ED discharge were rare; patients with complex chronic conditions were more likely to have a critical ED revisit. The researchers concluded that future research should focus on understanding higher risk among patients with asthma or a history of complex chronic conditions.
AHRQ-funded; HS026503.
Citation: Cavallaro SC, Michelson KA, D'Ambrosi G .
Critical revisits among children after emergency department discharge.
Ann Emerg Med 2023 Nov; 82(5):575-82. doi: 10.1016/j.annemergmed.2023.06.006..
Keywords: Healthcare Cost and Utilization Project (HCUP), Children/Adolescents, Emergency Department, Hospital Discharge
Ryus CR, Janke AT, Kunnath N
Association of hospital discharge against medical advice and coded housing instability in the US.
This study examined the relationship between discharge type and housing instability, then identified primary reasons for hospitalization among self-discharged patients with housing instability. This cross-sectional, retrospective study analyzed the National Inpatient Sample between January 2017 and December 2019, available from the Agency for Healthcare Research and Quality’s Healthcare Cost and Utilization Project. Among 85,402,831 hospitalizations analyzed, 1.6% resulted in self-discharge. Compared to admissions with planned discharges, self-discharges were more likely to have coded housing instability. Among hospitalizations resulting in self-discharge, admissions with coded housing instability were more likely to result in self-discharge than those without coded housing instability. Relationships between housing instability and self-discharges were found among major medical conditions: septicemia, acute myocardial infarction, and respiratory failure. Alcohol-related disorders and opioid-related disorders were among the highest self-discharge volumes, but relationships were minimal.
AHRQ-funded; HS028963.
Citation: Ryus CR, Janke AT, Kunnath N .
Association of hospital discharge against medical advice and coded housing instability in the US.
J Gen Intern Med 2023 Oct; 38(13):3082-85. doi: 10.1007/s11606-023-08240-1..
Keywords: Healthcare Cost and Utilization Project (HCUP), Hospital Discharge, Social Determinants of Health, Vulnerable Populations, Hospital Readmissions
Carey K, Lin MY
Hospital length of stay and readmission: an early investigation.
This study is a retrospective examination of the association between length of stay in an index hospitalization and readmission within 7 days and within 30 days of discharge. It found negative associations between length of stay and readmission probability, particularly for heart attack patients; however, the magnitude of the effect was modest for heart attack.
AHRQ-funded; HS020995.
Citation: Carey K, Lin MY .
Hospital length of stay and readmission: an early investigation.
Med Care Res Rev 2014 Feb;71(1):99-111. doi: 10.1177/1077558713504998..
Keywords: Healthcare Cost and Utilization Project (HCUP), Heart Disease and Health, Hospital Readmissions, Hospitalization, Hospital Discharge