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AHRQ Research Studies Date
Topics
- Behavioral Health (1)
- Cardiovascular Conditions (1)
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- Critical Care (1)
- Depression (1)
- Elderly (2)
- Electronic Health Records (EHRs) (2)
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- (-) Hospitalization (7)
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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 7 of 7 Research Studies DisplayedHobensack M, Ojo M, Barrón Y
Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians.
The objectives of this study were to identify risk factors that home healthcare clinicians associate with patient deterioration and to understand clinicians’ response to and documentation of these risk factors. The authors interviewed multidisciplinary home healthcare clinicians and used directed content analysis to identify risk factors for deterioration. A total of 79 risk factors were identified by the clinicians, who responded most often by communicating with the prescribing provider or following up with patients and caregivers. Clinicians also acknowledged that social factors played a role in deterioration risk. The authors noted that, since most risk factors were documented in clinical notes, methods such as natural language processing are needed to extract them. They concluded that by providing a comprehensive list of risk factors grounded in clinician expertise and mapped to standardized terminologies, the results of their study supported the development of an early warning system for patient deterioration.
AHRQ-funded; HS027742.
Citation: Hobensack M, Ojo M, Barrón Y .
Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians.
J Am Med Inform Assoc 2022 Apr 13;29(5):805-12. doi: 10.1093/jamia/ocac023..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Home Healthcare, Risk, Hospitalization
Khodneva Y, Goyal P, Levitan EB
Depressive symptoms and incident hospitalization for heart failure: findings From the REGARDS Study.
The purpose of this study was to determine whether depressive symptoms are associated with incident heart failure (HF), including hospitalization for HF overall or by subtype: HF with preserved (HFpEF) or reduced ejection fraction (HFrEF). The study found that over a median of 9.2 years of follow-up, there were 872 incident HF hospitalizations, 526 among those without CHD and 334 among those with CHD. The age-adjusted HF hospitalization incidence rates per 1000 person-years were 4.9 for participants with depressive symptoms compared with 3.2 for participants without depressive symptoms. For overall HF, the elevated risk lessened after controlling for covariates. Among those without baseline CHD, when HFpEF was evaluated separately, after controlling for all covariates, depressive symptoms were related with incident hospitalization. In contrast, depressive symptoms were not related with incident HFrEF hospitalizations. The researchers concluded that among individuals without CHD at baseline, depressive symptoms were related with incident hospitalization for HFpEF, but not for those with baseline CHD or HFrEF.
AHRQ-funded; HS013852.
Citation: Khodneva Y, Goyal P, Levitan EB .
Depressive symptoms and incident hospitalization for heart failure: findings From the REGARDS Study.
J Am Heart Assoc 2022 Apr 5;11(7):e022818. doi: 10.1161/jaha.121.022818..
Keywords: Depression, Behavioral Health, Heart Disease and Health, Cardiovascular Conditions, Hospitalization, Risk
Kamran F, Tang S, Otles E
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.
The authors sought to create and validate a simple and transferable machine learning model from electronic health record data to accurately predict clinical deterioration in patients with COVID-19 across institutions, through use of a novel paradigm for model development and code sharing. They determined that a model to predict clinical deterioration was developed rapidly in response to the COVID-19 pandemic at a single hospital, was applied externally without the sharing of data, and performed well across multiple medical centers, patient subgroups, and time periods, showing its potential as a tool for use in optimizing healthcare resources.
AHRQ-funded; HS028038.
Citation: Kamran F, Tang S, Otles E .
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.
BMJ 2022 Feb 17;376:e068576. doi: 10.1136/bmj-2021-068576..
Keywords: COVID-19, Hospitalization, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Bobb JF, Obermeyer Z, Wang Y
Cause-specific risk of hospital admission related to extreme heat in older adults.
The purpose of this study was to identify possible causes of hospital admissions during extreme heat events and to estimate their risks using historical data. The investigators found that among older adults, periods of extreme heat were associated with increased risk of hospitalization for fluid and electrolyte disorders, renal failure, urinary tract infection, septicemia, and heat stroke. They noted however, that the absolute risk increase was small and of uncertain clinical importance.
AHRQ-funded; HS021991.
Citation: Bobb JF, Obermeyer Z, Wang Y .
Cause-specific risk of hospital admission related to extreme heat in older adults.
JAMA 2014 Dec 24-31;312(24):2659-67. doi: 10.1001/jama.2014.15715..
Keywords: Elderly, Hospitalization, Risk
Chaudhry SI, Khan RF, Chen J
National trends in recurrent AMI hospitalizations 1 year after acute myocardial infarction in Medicare beneficiaries: 1999-2010.
The investigators evaluated changes in the incidence of 1-year recurrent acute myocardial infarction (AMI) hospitalization and mortality. In a national sample of Medicare beneficiaries hospitalized for AMI from 1999 to 2010, they found that hospitalization for recurrent AMI decreased, as did subsequent mortality, albeit to a lesser extent. The risk of recurrent AMI hospitalization declined less in black patients than in whites, increasing observed racial disparities by the end of the study period.
AHRQ-funded; HS018781.
Citation: Chaudhry SI, Khan RF, Chen J .
National trends in recurrent AMI hospitalizations 1 year after acute myocardial infarction in Medicare beneficiaries: 1999-2010.
J Am Heart Assoc 2014 Oct;3(5):e001197. doi: 10.1161/jaha.114.001197.
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Keywords: Hospitalization, Medicare, Mortality, Heart Disease and Health, Risk
Aparasu RR, Chatterjee S, Chen H
Risk of hospitalization and use of first- versus second-generation antipsychotics among nursing home residents.
This study examined the risk of all-cause hospitalization among dual-eligible elderly nursing home residents who were using antipsychotic medications and found that, on average, there was a 58 percent increase in hospitalization risk after 20 days of using a first-generation drug.
AHRQ-funded; HS016920
Citation: Aparasu RR, Chatterjee S, Chen H .
Risk of hospitalization and use of first- versus second-generation antipsychotics among nursing home residents.
Psychiatr Serv. 2014 Jun;65(6):781-8. doi: 10.1176/appi.ps.201300093..
Keywords: Long-Term Care, Medication, Hospitalization, Elderly, Risk
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