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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 3 of 3 Research Studies DisplayedAcher AW, LeCaire TJ, Hundt AS
Using human factors and systems engineering to evaluate readmission after complex surgery.
The study objective was to use a human factors and systems engineering approach to understand contributors to surgical readmissions from a patient and provider perspective. Patients and clinician providers identified a number of factors during the transition of care that may have contributed to readmission, including poor patient and caregiver understanding; inadequate discharge preparation for home care; insufficient educational process and materials.
AHRQ-funded; HS022446.
Citation: Acher AW, LeCaire TJ, Hundt AS .
Using human factors and systems engineering to evaluate readmission after complex surgery.
J Am Coll Surg 2015 Oct;221(4):810-20. doi: 10.1016/j.jamcollsurg.2015.06.014..
Keywords: Surgery, Hospital Readmissions, Hospital Discharge, Transitions of Care, Electronic Health Records (EHRs)
Nijhawan AE, Kitchell E, Etherton SS
Half of 30-day hospital readmissions among HIV-infected patients are potentially preventable.
The researchers assessed whether readmissions among HIV-infected patients were potentially preventable using both published criteria and detailed chart review, how readmissions might have been prevented, and the phase of care deemed suboptimal (inpatient care, discharge planning, post-discharge). They found that among 130 individuals experiencing 30-day readmissions, about half were determined to be potentially preventable using published criteria (53 percent) or implicit chart review (48 percent).
AHRQ-funded; HS022418.
Citation: Nijhawan AE, Kitchell E, Etherton SS .
Half of 30-day hospital readmissions among HIV-infected patients are potentially preventable.
AIDS Patient Care STDS 2015 Sep;29(9):465-73. doi: 10.1089/apc.2015.0096..
Keywords: Human Immunodeficiency Virus (HIV), Hospital Readmissions, Electronic Health Records (EHRs), Patient-Centered Outcomes Research, Prevention
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