Journal article
Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians
Journal of the American Medical Informatics Association : JAMIA, Vol.29(5), pp.805-812
04/13/2022
DOI: 10.1093/jamia/ocac023
PMCID: PMC9006696
PMID: 35196369
Abstract
To identify the risk factors home healthcare (HHC) clinicians associate with patient deterioration and understand how clinicians respond to and document these risk factors.
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.
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%)).
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.
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.
Details
- Title: Subtitle
- Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians
- Creators
- Mollie Hobensack - Columbia UniversityMarietta Ojo - Visiting Nurse Service of New YorkYolanda Barrón - Visiting Nurse Service of New YorkKathryn H Bowles - Visiting Nurse Service of New YorkKenrick Cato - Columbia UniversitySena Chae - University of IowaErin Kennedy - University of PennsylvaniaMargaret V McDonald - Visiting Nurse Service of New YorkSarah Collins Rossetti - Columbia UniversityJiyoun Song - Columbia UniversitySridevi Sridharan - Visiting Nurse Service of New YorkMaxim Topaz - Columbia University
- Resource Type
- Journal article
- Publication Details
- Journal of the American Medical Informatics Association : JAMIA, Vol.29(5), pp.805-812
- DOI
- 10.1093/jamia/ocac023
- PMID
- 35196369
- PMCID
- PMC9006696
- ISSN
- 1067-5027
- eISSN
- 1527-974X
- Grant note
- R01 HS027742 / AHRQ HHS F31 NR019919 / NINR NIH HHS T32 NR007969 / NINR NIH HHS
- Language
- English
- Date published
- 04/13/2022
- Academic Unit
- Nursing
- Record Identifier
- 9984368215902771
Metrics
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