National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Access to Care (1)
- Adverse Events (2)
- Children/Adolescents (1)
- Depression (1)
- Elderly (1)
- Electronic Health Records (EHRs) (1)
- Healthcare-Associated Infections (HAIs) (1)
- Heart Disease and Health (1)
- Hospitalization (3)
- (-) Hospital Readmissions (9)
- Hospitals (1)
- Injuries and Wounds (1)
- Medicaid (1)
- Outcomes (1)
- Patient-Centered Healthcare (1)
- Racial and Ethnic Minorities (1)
- Rehabilitation (1)
- Respiratory Conditions (1)
- (-) Risk (9)
- Social Determinants of Health (1)
- Stroke (1)
- Surgery (2)
- Tobacco Use (1)
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 9 of 9 Research Studies DisplayedNakagawa K, Ahn HJ, Taira DA
Ethnic comparison of 30-day potentially preventable readmissions after stroke in Hawaii.
The authors sought to compare potentially preventable readmissions (PPR) among a multiethnic population in Hawaii. They concluded that the Chinese ethnicity may have a higher risk of 30-day PPR after stroke compared to whites. Other associated factors include mental illness, Medicaid, and Hawaii county.
AHRQ-funded; HS019990.
Citation: Nakagawa K, Ahn HJ, Taira DA .
Ethnic comparison of 30-day potentially preventable readmissions after stroke in Hawaii.
Stroke 2016 Oct;47(10):2611-7. doi: 10.1161/strokeaha.116.013669.
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Keywords: Stroke, Racial and Ethnic Minorities, Hospital Readmissions, Hospitalization, Risk
Morris MS, Graham LA, Richman JS
Postoperative 30-day readmission: time to focus on what happens outside the hospital.
The authors of this study aimed to understand the relative contribution of preoperative patient factors, operative characteristics, and postoperative hospital course on 30-day postoperative readmissions. They found that although postoperative readmissions are difficult to predict at the time of discharge, preoperative factors are the most important.
AHRQ-funded; HS013852.
Citation: Morris MS, Graham LA, Richman JS .
Postoperative 30-day readmission: time to focus on what happens outside the hospital.
Ann Surg 2016 Oct;264(4):621-31. doi: 10.1097/sla.0000000000001855.
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Keywords: Hospital Readmissions, Surgery, Adverse Events, Risk, Risk
Weinreich M, Nguyen OK, Wang D
Predicting the risk of readmission in pneumonia. A systematic review of model performance.
The researchers synthesized the available literature on readmission risk prediction models for adults who are hospitalized because of pneumonia and described their performance. They found a limited number of validated pneumonia-specific readmission models, and their predictive ability was modest. To improve predictive accuracy, future models should include measures of pneumonia illness severity, hospital complications, and stability on discharge.
AHRQ-funded; HS022418.
Citation: Weinreich M, Nguyen OK, Wang D .
Predicting the risk of readmission in pneumonia. A systematic review of model performance.
Ann Am Thorac Soc 2016 Sep;13(9):1607-14. doi: 10.1513/AnnalsATS.201602-135SR.
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Keywords: Hospital Readmissions, Risk, Hospitalization
McLeod L, Flynn J, Erickson M
Variation in 60-day readmission for surgical-site infections (SSIs) and reoperation following spinal fusion operations for neuromuscular scoliosis.
The purpose of this study was to examine variation in hospital performance based on risk-standardized 60-day readmission rates for surgical-site infection (SSIs) and reoperation across 39 US Children's Hospitals. It found that reoperations were associated with an SSI in 70 percent of cases. Across hospitals, SSI and reoperation rates ranged from 1 percent to 11 percent and 1 percent to 12 percent, respectively.
AHRQ-funded; HS022198.
Citation: McLeod L, Flynn J, Erickson M .
Variation in 60-day readmission for surgical-site infections (SSIs) and reoperation following spinal fusion operations for neuromuscular scoliosis.
J Pediatr Orthop 2016 Sep;36(6):634-9. doi: 10.1097/bpo.0000000000000495.
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Keywords: Children/Adolescents, Surgery, Healthcare-Associated Infections (HAIs), Injuries and Wounds, Adverse Events, Hospital Readmissions, Hospitals, Risk
Nguyen OK, Makam AN, Clark C
Predicting all-cause readmissions using electronic health record data from the entire hospitalization: model development and comparison.
The purpose of this study was to develop an all-cause readmissions risk-prediction model incorporating electronic health record (EHR) data from the full hospital stay, and to compare "full-stay" model performance to a "first day" and 2 other validated models. It found that incorporating clinically granular EHR data from the full hospital stay modestly improves prediction of 30-day readmissions.
AHRQ-funded; HS022418.
Citation: Nguyen OK, Makam AN, Clark C .
Predicting all-cause readmissions using electronic health record data from the entire hospitalization: model development and comparison.
J Hosp Med 2016 Jul;11(7):473-80. doi: 10.1002/jhm.2568.
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Keywords: Electronic Health Records (EHRs), Hospital Readmissions, Hospitalization, Risk
Jiang HJ, Boutwell AE, Maxwell J
AHRQ Author: Jiang HJ
Understanding patient, provider, and system factors related to Medicaid readmissions.
This study was undertaken to understand the complexity of Medicaid readmission issues at the patient, provider, and system levels. It found that significant risk factors for Medicaid readmissions included financial stress, high prevalence of mental health and substance abuse disorders, medication nonadherence, and housing instability. Lacking awareness on Medicaid patients' high risk, a sufficient business case, and proven strategies for reducing readmissions were primary barriers for providers.
AHRQ-authored; AHRQ-funded; 290201000034I; 290201000030I.
Citation: Jiang HJ, Boutwell AE, Maxwell J .
Understanding patient, provider, and system factors related to Medicaid readmissions.
Jt Comm J Qual Patient Saf 2016 Mar;42(3):115-21.
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Keywords: Medicaid, Hospital Readmissions, Access to Care, Social Determinants of Health, Risk
Iyer AS, Bhatt SP, Garner JJ
Depression is associated with readmission for acute exacerbation of chronic obstructive pulmonary disease.
The authors characterized the associations between depression and anxiety and COPD readmission risk. They found that depression is an independent risk factor for both short- and long-term readmissions for acute exacerbation of COPD and may represent a modifiable risk factor. They also found that in-hospital tobacco cessation counseling was associated with reduced 1-year readmission.
AHRQ-funded; HS013852.
Citation: Iyer AS, Bhatt SP, Garner JJ .
Depression is associated with readmission for acute exacerbation of chronic obstructive pulmonary disease.
Ann Am Thorac Soc 2016 Feb;13(2):197-203. doi: 10.1513/AnnalsATS.201507-439OC.
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Keywords: Respiratory Conditions, Depression, Hospital Readmissions, Risk, Tobacco Use
O'Connor M, Murtaugh CM, Shah S
Patient characteristics predicting readmission among individuals hospitalized for heart failure.
The authors conducted a literature review to identify heart failure patient characteristics, measured before discharge, that contribute to variation in hospital readmission rates. They found that no single patient characteristic stood out as a key contributor.
AHRQ-funded; HS020257.
Citation: O'Connor M, Murtaugh CM, Shah S .
Patient characteristics predicting readmission among individuals hospitalized for heart failure.
Med Care Res Rev 2016 Feb;73(1):3-40. doi: 10.1177/1077558715595156.
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Keywords: Heart Disease and Health, Patient-Centered Healthcare, Hospital Readmissions, Risk
Fisher SR, Graham JE, Krishnan S
Predictors of 30-day readmission following inpatient rehabilitation for patients at high risk for hospital readmission.
The purpose of this study was to identify variables in the full administrative medical record, particularly in regard to physical function, that could help clinicians further discriminate between patients who are and are not likely to be readmitted to an acute care hospital within 30 days of rehabilitation discharge. It found that functional outcomes and rehabilitation length of stay were the best predictors of 30-day rehospitalization.
AHRQ-funded; HS022134.
Citation: Fisher SR, Graham JE, Krishnan S .
Predictors of 30-day readmission following inpatient rehabilitation for patients at high risk for hospital readmission.
Phys Ther 2016 Jan;96(1):62-70. doi: 10.2522/ptj.20150034..
Keywords: Hospital Readmissions, Rehabilitation, Outcomes, Risk, Elderly