National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (1)
- Cardiovascular Conditions (1)
- Elderly (3)
- Electronic Health Records (EHRs) (1)
- Health Information Technology (HIT) (1)
- Heart Disease and Health (1)
- (-) Hospital Readmissions (6)
- Hospitals (1)
- Medicare (1)
- (-) Mortality (6)
- Outcomes (2)
- Patient Safety (1)
- Pneumonia (1)
- Quality Indicators (QIs) (1)
- Registries (1)
- Risk (1)
- Surgery (3)
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 6 of 6 Research Studies DisplayedHu Y, McMurry TL, Stukenborg GJ
Readmission predicts 90-day mortality after esophagectomy: analysis of surveillance, epidemiology, and end results registry linked to Medicare outcomes.
The purpose of this study was to characterize postesophagectomy readmissions and determine their relationship with subsequent 90-day mortality. It found that one in 5 esophagectomy patients are readmitted early after discharge. Readmitted patients have a 5-fold increase in early mortality.
AHRQ-funded; HS018049.
Citation: Hu Y, McMurry TL, Stukenborg GJ .
Readmission predicts 90-day mortality after esophagectomy: analysis of surveillance, epidemiology, and end results registry linked to Medicare outcomes.
J Thorac Cardiovasc Surg 2015 Nov;150(5):1254-60. doi: 10.1016/j.jtcvs.2015.08.071..
Keywords: Hospital Readmissions, Mortality, Outcomes, Registries, Surgery
Brooke BS, Goodney PP, Kraiss LW
Readmission destination and risk of mortality after major surgery: an observational cohort study.
This study examined the association between readmission destination and mortality risk in the USA in Medicare beneficiaries after a range of common operations. It found that patients who are readmitted to hospital after various major operations consistently achieve improved survival if they return to the hospital where their surgery took place.
AHRQ-funded; HS021581.
Citation: Brooke BS, Goodney PP, Kraiss LW .
Readmission destination and risk of mortality after major surgery: an observational cohort study.
Lancet 2015 Aug 29;386(9996):884-95. doi: 10.1016/s0140-6736(15)60087-3..
Keywords: Hospital Readmissions, Mortality, Surgery, Elderly, Outcomes, Hospitals
Gonzalez AA, Abdelsattar ZM, Dimick JB
Time-to-readmission and mortality after high-risk surgery.
This study used 5 years of data on Medicare beneficiaries undergoing high-risk surgical procedures to investigate whether postdischarge mortality varies by time to readmission. It found that surgical readmissions within 10 days of discharge are disproportionately common and associated with increased mortality independent of index complications.
AHRQ-funded; HS017765; HS000053.
Citation: Gonzalez AA, Abdelsattar ZM, Dimick JB .
Time-to-readmission and mortality after high-risk surgery.
Ann Surg 2015 Jul;262(1):53-9. doi: 10.1097/sla.0000000000000912..
Keywords: Patient Safety, Mortality, Hospital Readmissions, Adverse Events, Surgery
Lopes RD, Gharacholou SM, Holmes DN
Cumulative incidence of death and rehospitalization among the elderly in the first year after NSTEMI.
The researchers evaluated mortality and cause-specific rehospitalization rates in elderly non-ST-segment elevation myocardial infarction survivors with ischemic heart disease. They found that rehospitalization rates do not rise substantially with advancing age, and rehospitalization is often for noncardiac diagnoses.
AHRQ-funded; HS021092.
Citation: Lopes RD, Gharacholou SM, Holmes DN .
Cumulative incidence of death and rehospitalization among the elderly in the first year after NSTEMI.
Am J Med 2015 Jun;128(6):582-90. doi: 10.1016/j.amjmed.2014.12.032.
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Keywords: Elderly, Mortality, Heart Disease and Health, Cardiovascular Conditions, Hospital Readmissions
Amarasingham R, Velasco F, Xie B
Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models.
The purpose of this study was to evaluate the degree to which electronic medical record-based risk models for 30-day readmission or mortality accurately identify high risk patients and to compare these models with published claims-based models. The researchers found that a new electronic multicondition model based on information derived from the electronic medical record predicted mortality and readmission at 30 days, and was superior to previously published claims-based models
AHRQ-funded; HS022418.
Citation: Amarasingham R, Velasco F, Xie B .
Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models.
BMC Med Inform Decis Mak 2015 May 20;15:39. doi: 10.1186/s12911-015-0162-6.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Mortality, Hospital Readmissions, Risk
Sjoding MW, Iwashyna TJ, Dimick JB
Gaming hospital-level pneumonia 30-day mortality and readmission measures by legitimate changes to diagnostic coding.
The researchers sought to determine the degree to which hospitals can game mortality or readmission measures and change their rankings by recoding patients with pneumonia. They concluded that hospitals can improve apparent pneumonia mortality and readmission rates by recoding pneumonia patients. Centers for Medicare and Medicaid Services should consider changes to their methods used to calculate hospital-level pneumonia outcome measures.
AHRQ-funded; HS020672.
Citation: Sjoding MW, Iwashyna TJ, Dimick JB .
Gaming hospital-level pneumonia 30-day mortality and readmission measures by legitimate changes to diagnostic coding.
Crit Care Med 2015 May;43(5):989-95. doi: 10.1097/ccm.0000000000000862..
Keywords: Elderly, Hospital Readmissions, Medicare, Mortality, Pneumonia, Quality Indicators (QIs)