National Healthcare Quality and Disparities Report
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- Adverse Events (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 5 of 5 Research Studies DisplayedSaleh SN, Makam AN, Halm EA,
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
Despite focus on preventing 30-day readmissions, early readmissions (within 7 days of discharge) may be more preventable than later readmissions (8-30 days). In this study, the investigators assessed how well a previously validated 30-day EHR-based readmission model predicted 7-day readmissions and compared differences in strength of predictors. They suggested that improvements in predicting early 7-day readmissions will likely require new risk factors proximal to day of discharge.
AHRQ-funded; HS022418.
Citation: Saleh SN, Makam AN, Halm EA, .
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
BMC Med Inform Decis Mak 2020 Sep 15;20(1):227. doi: 10.1186/s12911-020-01248-1..
Keywords: Hospital Readmissions, Hospitals, Risk, Transitions of Care, Electronic Health Records (EHRs), Health Information Technology (HIT)
Arbaje AI, Werner NE, Kasda EM
Learning from lawsuits: using malpractice claims data to develop care transitions planning tools.
This study used malpractice claims data to evaluate safety risks during care transitions from hospital to home and to help develop care transitions planning tools and pilot test them. The authors analyzed closed malpractice claims for 230 adult patients discharged from 4 hospital sites. Two structured focus groups were also conducted for stakeholders to review concerns. This led to the development of two care transitions planning tools – one for patients/caregivers and one for healthcare providers. Feasibility on 53 patient discharges were tested for both tools. A total of 33 risk factors corresponding to hospital work system elements, care transitions processes, and care outcomes were found using qualitative analysis. Providers found the tool easy to use and patients felt the length and response of the tool was acceptable.
AHRQ-funded; HS022916; HS019519.
Citation: Arbaje AI, Werner NE, Kasda EM .
Learning from lawsuits: using malpractice claims data to develop care transitions planning tools.
J Patient Saf 2020 Mar;16(1):52-57. doi: 10.1097/pts.0000000000000238.
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Keywords: Medical Liability, Transitions of Care, Risk, Hospital Discharge, Hospitals, Patient Safety
Kapoor A, Field T, Handler S
Characteristics of long-term care residents that predict adverse events after hospitalization.
This study examined the characteristics of long-term care (LTC) residents that predict adverse events (AEs) after discharge from recent hospitalization. This cohort study looked at AEs that occurred at 32 nursing homes from six New England states. AE incidents involving a total of 555 LTC residents with 762 transitions from the hospital back to LTC were reviewed. The association between all AEs and preventable AEs developing in the 45 days following discharge back to LTC was measured. There were 283 discharges with one or more AEs and 212 with preventable AEs. Characteristics independently associated with higher risk of AEs included hospital length of stay (LOS) 9 or more days, 18 or more regularly scheduled medications, and 19 and above on the dependency in activities of daily living (ADL) scale.
AHRQ-funded; HS024422.
Citation: Kapoor A, Field T, Handler S .
Characteristics of long-term care residents that predict adverse events after hospitalization.
J Am Geriatr Soc 2020 Nov;68(11):2551-57. doi: 10.1111/jgs.16770..
Keywords: Elderly, Long-Term Care, Nursing Homes, Hospitalization, Adverse Events, Transitions of Care, Hospital Discharge, Risk
Goldstone AB, Chiu P, Baiocchi M
Interfacility transfer of Medicare beneficiaries with acute type a aortic dissection and regionalization of care in the United States.
Researchers investigated the hypothesis that regionalizing care at high-volume hospitals for acute type A aortic dissections will lower mortality. Operative mortality and long-term survival were compared for Medicare beneficiaries diagnosed with an acute type A aortic dissection who were transferred versus not transferred, underwent surgery at high-volume versus low-volume hospitals, and were rerouted versus not rerouted to a high-volume hospital for treatment. The researchers found that, despite delaying surgery, a regionalization policy that transfers patients to high-volume hospitals was associated with a 7.2% absolute risk reduction in operative mortality. They recommended that policymakers evaluate the feasibility and benefits of regionalizing the surgical treatment of acute type A aortic dissection in the United States.
AHRQ-funded; HS022192.
Citation: Goldstone AB, Chiu P, Baiocchi M .
Interfacility transfer of Medicare beneficiaries with acute type a aortic dissection and regionalization of care in the United States.
Circulation 2019 Oct 8;140(15):1239-50. doi: 10.1161/circulationaha.118.038867..
Keywords: Transitions of Care, Medicare, Heart Disease and Health, Cardiovascular Conditions, Patient-Centered Outcomes Research, Risk, Evidence-Based Practice, Mortality, Hospitals
Britton MC, Ouellet GM, Minges KE
Care transitions between hospitals and skilled nursing facilities: perspectives of sending and receiving providers.
This study was conducted to identify the perspectives of sending and receiving providers regarding care transitions between the hospital and skilled nursing facilities. Four main themes emerged: increasing patient complexity, identifying an optimal care setting, rising financial pressure, and barriers to effective communication. The investigators indicated that the data highlighted hospital and SNF providers' shared concerns about patient-level risk factors and escalating costs of care.
AHRQ-funded; HS023554.
Citation: Britton MC, Ouellet GM, Minges KE .
Care transitions between hospitals and skilled nursing facilities: perspectives of sending and receiving providers.
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Keywords: Communication, Long-Term Care, Nursing Homes, Risk, Transitions of Care