National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (1)
- Children/Adolescents (1)
- (-) Critical Care (9)
- Diagnostic Safety and Quality (1)
- Elderly (3)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Healthcare Delivery (2)
- Healthcare Utilization (1)
- (-) Hospitalization (9)
- Hospitals (2)
- Influenza (1)
- Inpatient Care (2)
- Intensive Care Unit (ICU) (5)
- Mortality (3)
- Opioids (1)
- Outcomes (1)
- Patient-Centered Outcomes Research (1)
- Quality of Care (1)
- Respiratory Conditions (1)
- Risk (2)
- Sepsis (1)
- Substance Abuse (1)
- Transitions of Care (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 DisplayedHussain FS, Sosa T, Ambroggio L
Emergency transfers: an important predictor of adverse outcomes in hospitalized children.
This case-control study aimed to determine the predictive validity of an emergency transfer (ET) for outcomes in a free-standing children's hospital. Controls were matched in terms of age, hospital unit, and time of year. Patients who experienced an ET had a significantly higher likelihood of in-hospital mortality (22% vs 9%), longer ICU length of stay (4.9 vs 2.2 days), and longer posttransfer length of stay (26.4 vs 14.7 days) compared with controls (P < .03 for each).
AHRQ-funded; HS023827.
Citation: Hussain FS, Sosa T, Ambroggio L .
Emergency transfers: an important predictor of adverse outcomes in hospitalized children.
J Hosp Med 2019 Aug;14(8):482-85. doi: 10.12788/jhm.3219..
Keywords: Transitions of Care, Children/Adolescents, Critical Care, Intensive Care Unit (ICU), Adverse Events, Outcomes, Patient-Centered Outcomes Research, Inpatient Care, Hospitalization, Hospitals, Healthcare Delivery
Barbash IJ, Wallace DJ, Kahn JM
Effects of changes in ICU bed supply on ICU utilization.
The purpose of this study was to determine the relationship between intensive care unit (ICU) bed supply and ICU admission in US hospitals. Using a difference-in-differences approach, researchers compared the risk-adjusted probability of ICU admission at hospitals that increased their ICU bed supply over time with matched hospitals that did not. Subjects were three patient groups with a low likelihood of benefiting from ICU admission: low-severity patients with acute myocardial infarction and pulmonary embolism, and high-severity patients with metastatic cancer at the end of life. Results showed that increases in ICU bed supply were associated with inconsistent changes in the probability of ICU admission that varied across patient subgroups.
AHRQ-funded; HS025455.
Citation: Barbash IJ, Wallace DJ, Kahn JM .
Effects of changes in ICU bed supply on ICU utilization.
Med Care 2019 Jul;57(7):544-50. doi: 10.1097/mlr.0000000000001137..
Keywords: Intensive Care Unit (ICU), Critical Care, Healthcare Utilization, Hospitalization, Healthcare Delivery, Hospitals
Heslin KC, Owens PL, Karaca Z
AHRQ Author: Heslin KC; Owens PL; Karaca Z; Elixhauser A
Trends in opioid-related inpatient stays shifted after the US transitioned to ICD-10-CM diagnosis coding in 2015.
This study examines how trend analyses of inpatient stays involving opioid diagnoses were affected by the transition to ICD-10-CM. It found a sharp increase in opioid-related stays overall during the transition to ICD-10-CM. This may indicate that the new classification system is capturing stays that were missed by ICD-9-CM data.
AHRQ-authored.
Citation: Heslin KC, Owens PL, Karaca Z .
Trends in opioid-related inpatient stays shifted after the US transitioned to ICD-10-CM diagnosis coding in 2015.
Med Care 2017 Nov;55(11):918-23. doi: 10.1097/mlr.0000000000000805.
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Keywords: Critical Care, Healthcare Cost and Utilization Project (HCUP), Hospitalization, Opioids, Substance Abuse
Sjoding MW, Prescott HC, Wunsch H
Longitudinal changes in ICU admissions among elderly patients in the United States.
The researchers sought to describe the changing demographics, diagnoses, and outcomes of patients admitted to critical care units in the U.S. hospitals. They ound that patients with infectious diseases increased from 8.8 percent to 17.2 percent of admissions, and explicitly labeled sepsis moved from the 11th-ranked diagnosis in 1996 to the top-ranked primary discharge diagnosis in 2010.
AHRQ-funded; HS020672.
Citation: Sjoding MW, Prescott HC, Wunsch H .
Longitudinal changes in ICU admissions among elderly patients in the United States.
Crit Care Med 2016 Jul;44(7):1353-60. doi: 10.1097/ccm.0000000000001664.
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Keywords: Elderly, Intensive Care Unit (ICU), Hospitalization, Diagnostic Safety and Quality, Critical Care
Hakkarainen TW, Arbabi S, Willis MM
Outcomes of patients discharged to skilled nursing facilities after acute care hospitalizations.
This study evaluated previously independent older patients discharged to skilled nursing facilities (SNFs) and identified risk factors for failure to return home and death and development of a predictive tool to determine likelihood of adverse outcome. It found that a large proportion of older patients discharging to SNFs never return home.
AHRQ-funded; HS020025.
Citation: Hakkarainen TW, Arbabi S, Willis MM .
Outcomes of patients discharged to skilled nursing facilities after acute care hospitalizations.
Ann Surg 2016 Feb;263(2):280-5. doi: 10.1097/sla.0000000000001367..
Keywords: Critical Care, Hospitalization, Risk, Elderly, Mortality
Hasvold J, Sjoding M, Pohl K
The role of human metapneumovirus in the critically ill adult patient.
The purpose of the study is to describe the role of human metapneumovirus (hMPV) infection in critical illness and acute respiratory distress syndrome (ARDS). It concluded that although most patients hospitalized with hMPV had chronic cardiac or pulmonary disease, hMPV can also be associated with serious respiratory illness and ARDS in adult patients without significant comorbidities or immunosuppression.
AHRQ-funded; HS020672.
Citation: Hasvold J, Sjoding M, Pohl K .
The role of human metapneumovirus in the critically ill adult patient.
J Crit Care 2016 Feb;31(1):233-7. doi: 10.1016/j.jcrc.2015.09.035.
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Keywords: Critical Care, Respiratory Conditions, Intensive Care Unit (ICU), Hospitalization
Nagendran M, Dimick JB, Gonzalez AA
Mortality among older adults before versus after hospital transition to intensivist staffing.
The researchers sought to determine whether hospitals can reduce their mortality by adopting an intensivist staffing model. Adoption of an intensivist staffing model was not associated with improved mortality in Medicare beneficiaries. These findings suggest that the lower mortality rates previously observed at hospitals with intensivist staffing may be attributable to other factors.
AHRQ-funded; HS023621; HS024403.
Citation: Nagendran M, Dimick JB, Gonzalez AA .
Mortality among older adults before versus after hospital transition to intensivist staffing.
Med Care 2016 Jan;54(1):67-73. doi: 10.1097/mlr.0000000000000446.
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Keywords: Mortality, Elderly, Intensive Care Unit (ICU), Hospitalization, Critical Care
Cooke CR, Iwashyna TJ
Sepsis mandates: improving inpatient care while advancing quality improvement.
In light of improvements in the care of the acutely ill hospitalized patients and changes in the epidemiology of hospital care, the authors recommend new quality mandates focused on sepsis. These mandates should: (1) address the reality that sepsis is frequently underdiagnosed, (2) focus on catalyzing and aggregating local efforts for quality improvements, and (3) plan for a phased implementation, improving measures in select sites prior to national roll-out.
AHRQ-funded; HS020672
Citation: Cooke CR, Iwashyna TJ .
Sepsis mandates: improving inpatient care while advancing quality improvement.
JAMA. 2014 Oct 8;312(14):1397-8. doi: 10.1001/jama.2014.11350..
Keywords: Quality of Care, Hospitalization, Inpatient Care, Critical Care, Sepsis
Patel RB, Mathur MB, Gould M
Demographic and clinical predictors of mortality from highly pathogenic avian influenza A (H5N1) virus infection: CART analysis of international cases.
The researchers for this international study sought to model individuals at highest risk of mortality from HPAI N5N1 virus infection in order to inform preventive and therapeutic interventions. They found that age, health expenditure, delay from symptom onset to hospitalization and country are significant predictors of mortality.
AHRQ-funded; HS019816
Citation: Patel RB, Mathur MB, Gould M .
Demographic and clinical predictors of mortality from highly pathogenic avian influenza A (H5N1) virus infection: CART analysis of international cases.
PLoS One. 2014 Mar 25;9(3):e91630. doi: 10.1371/journal.pone.0091630..
Keywords: Influenza, Mortality, Critical Care, Hospitalization, Risk