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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 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)