Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians

Author:

Hobensack Mollie1ORCID,Ojo Marietta2,Barrón Yolanda2,Bowles Kathryn H23,Cato Kenrick14,Chae Sena5,Kennedy Erin3,McDonald Margaret V2,Rossetti Sarah Collins16ORCID,Song Jiyoun12ORCID,Sridharan Sridevi2,Topaz Maxim127

Affiliation:

1. Columbia University School of Nursing, New York City, New York, USA

2. Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York City, New York, USA

3. Department of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA

4. Emergency Medicine, Columbia University Irving Medical Center, New York City, New York, USA

5. College of Nursing, University of Iowa, Iowa City, Iowa, USA

6. Department of Biomedical Informatics, Columbia University, New York City, New York, USA

7. Data Science Institute, Columbia University, New York City, New York, USA

Abstract

Abstract Objective To identify the risk factors home healthcare (HHC) clinicians associate with patient deterioration and understand how clinicians respond to and document these risk factors. Methods We interviewed multidisciplinary HHC clinicians from January to March of 2021. Risk factors were mapped to standardized terminologies (eg, Omaha System). We used directed content analysis to identify risk factors for deterioration. We used inductive thematic analysis to understand HHC clinicians’ response to risk factors and documentation of risk factors. Results Fifteen HHC clinicians identified a total of 79 risk factors that were mapped to standardized terminologies. HHC clinicians most frequently responded to risk factors by communicating with the prescribing provider (86.7% of clinicians) or following up with patients and caregivers (86.7%). HHC clinicians stated that a majority of risk factors can be found in clinical notes (ie, care coordination (53.3%) or visit (46.7%)). Discussion Clinicians acknowledged that social factors play a role in deterioration risk; but these factors are infrequently studied in HHC. While a majority of risk factors were represented in the Omaha System, additional terminologies are needed to comprehensively capture risk. Since most risk factors are documented in clinical notes, methods such as natural language processing are needed to extract them. Conclusion This study engaged clinicians to understand risk for deterioration during HHC. The results of our study support the development of an early warning system by providing a comprehensive list of risk factors grounded in clinician expertize and mapped to standardized terminologies.

Funder

Agency for Healthcare Research and Quality

National Institute for Nursing Research training grant Reducing Health Disparities through Informatics

National Institute of Nursing Research Ruth L. Kirschstein Predoctoral Individual National Research Service Award grant

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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