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Search All Research Studies
Topics
- (-) Healthcare Cost and Utilization Project (HCUP) (4)
- Hospital Discharge (1)
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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 4 of 4 Research Studies DisplayedRyus 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
Basu J
AHRQ Author: Basu J
Multilevel risk factors for hospital readmission among patients with opioid use disorder in selected US States: role of socioeconomic characteristics of patients and their community.
This study examined the association of socioeconomic characteristics of individuals hospitalized with a principal diagnosis of opioid use disorder and their all-cause 30-day readmission risks. Discharge data from the 2014 HCUP Survey was used and was linked to community and hospital characteristics using data from HRSA and the American Hospital Association. Medicare is associated with the highest readmission risk followed by Medicaid covered patients. Self-pay or covered by other payers had a similar risk to private insurance coverage. Urban patients also had a higher readmission rate than rural patients.
AHRQ-authored.
Citation: Basu J .
Multilevel risk factors for hospital readmission among patients with opioid use disorder in selected US States: role of socioeconomic characteristics of patients and their community.
Health Serv Res Manag Epidemiol 2020 Jan-Dec;7:2333392820904240. doi: 10.1177/2333392820904240..
Keywords: Healthcare Cost and Utilization Project (HCUP), Opioids, Medication, Substance Abuse, Hospital Readmissions, Hospitals, Social Determinants of Health
Goto T, Faridi MK, Gibo K
Trends in 30-day readmission rates after COPD hospitalization, 2006-2012.
This study investigated trends in 30-day readmission rates after chronic obstructive pulmonary disease (COPD)-related hospitalization. Overall, the 30-day readmission rate for COPD-related hospitalization decreased modestly from 20.0 percent in 2006 to 19.2 percent in 2012. Similar to the overall population, the readmission rate over the 7-year period remained persistently high in most of AHRQ-defined priority populations.
AHRQ-funded; HS023305.
Citation: Goto T, Faridi MK, Gibo K .
Trends in 30-day readmission rates after COPD hospitalization, 2006-2012.
Respir Med 2017 Sep;130:92-97. doi: 10.1016/j.rmed.2017.07.058.
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Keywords: Respiratory Conditions, Healthcare Cost and Utilization Project (HCUP), Hospital Readmissions, Social Determinants of Health, Vulnerable Populations
Martsolf GR, Barrett ML, Weiss AJ
AHRQ Author: Steiner CA, Coffey R
Impact of race/ethnicity and socioeconomic status on risk-adjusted hospital readmission rates following hip and knee arthroplasty.
This study examined the extent to which risk-adjusting for race/ethnicity and socioeconomic status affected hospital performance in terms of readmission rates following total hip arthroplasty (THA) and total knee arthroplasty (TKA). It found that inclusion of race/ethnicity and socioeconomic status in the risk-adjustment algorithm led to a relative-performance change in readmission rates following THA and TKA at less than 3 percent of the hospitals.
AHRQ-authored; AHRQ-funded; 290201300002C.
Citation: Martsolf GR, Barrett ML, Weiss AJ .
Impact of race/ethnicity and socioeconomic status on risk-adjusted hospital readmission rates following hip and knee arthroplasty.
J Bone Joint Surg Am 2016 Aug 17;98(16):1385-91. doi: 10.2106/jbjs.15.00884.
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Keywords: Healthcare Cost and Utilization Project (HCUP), Racial and Ethnic Minorities, Social Determinants of Health, Hospital Readmissions, Surgery