Abstract
Background and Purpose: Standardized electronic medical record tools provide an opportunity to efficiently
provide care that conforms to Best Practices and supports quality improvement and
practice-based research initiatives. Methods: We describe the development of a customized structured clinical documentation “toolkit”
that standardizes patient data collection to conform to Best Practices for treating
patients with stroke. The toolkit collects patients’ demographic information, relevant
score test measures, and captures information on disability, treatment, and outcomes.
Results: We describe here our creation and implementation of the toolkits and provide example
screenshots. As of August 1, 2018, we have evaluated 2332 patients at an initial visit
for a possible stroke. We provide basic descriptive data gathered from the use of
the toolkits, demonstrating their utility in collecting patient data in a manner that
supports both quality clinical care and research initiatives. Conclusions: We have developed an EMR toolkit to support Best Practices in the care of patients
with stroke. We discuss quality improvement projects and current research initiatives
using the toolkit. This toolkit is being shared with other Departments of Neurology
as part of the Neurology Practice-Based Research Network.
Key Words
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References
- Stroke incidence and mortality trends in US communities, 1987 to 2011.JAMA. 2014; 312: 259-268
- Outpatient practice patterns after stroke hospitalization among neurologists.Stroke. 2008; 39: 1850-1854
- Factors contributing to sex differences in functional outcomes and participation stroke.Neurology. 2018; 90: e1945-e1953
- Natural history, predictors and outcomes of depression after stroke: Systematic review and meta-analysis.Br J Psychiatry. 2013; 202: 14-21
- Predictors of depression after stroke: A systematic review of observational studies.Stroke. 2005; 36: 2296-2301
- Part II: predictors of depression after stroke and impact of depression on stroke outcome: An updated systematic review of observational studies.Int J Stroke. 2014; 9: 1026-1036
- Frequency of anxiety after stroke: A systematic review and meta-analysis of observational studies.Int J Stroke. 2013; 8: 545-559
- Anxiety after stroke: The importance of subtyping.Stroke. 2018; 49: 556-564
- Quality improvement and practice-based research in neurology using the electronic medical record.Neurol Clin Pract. 2015; 5: 419-429
- Functional evaluation: The Barthel Index.Md State Med J. 1965; 14: 61-65
Yesavage JA, Brink TL, Rose TL, et al. Development and validation of a geriatric depression screening scale: A preliminary report. J Psychiatr Res 1982-1983;17:37-49.
- A new method for measuring daytime sleepiness: The Epworth sleepiness scale.Sleep. 1991; 14: 540-545
National Institute of Health, National Institute of Neurological Disorders and Stroke. Stroke Scale. https://www.ninds.nih.gov/sites/default/files/NIH_Stroke_Scale_Booklet.pdf.]. 14.
- Recovery of motor function after stroke.Stroke. 1988; 19: 1497-1500
- A short test of mental status: Description and preliminary results.Mayo Clin Proc. 1987; 62: 281-288
- “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician.J Psychiatr Res. 1975; 12: 189-198
Article info
Publication history
Published online: February 05, 2019
Accepted:
January 15,
2019
Received in revised form:
January 11,
2019
Received:
November 29,
2018
Footnotes
Sources of Funding: The authors acknowledge funding support from the Agency for Healthcare Research and Quality (R01HS024057).
Identification
DOI: https://doi.org/10.1016/j.jstrokecerebrovasdis.2019.01.011
Copyright
© 2019 Elsevier Inc. All rights reserved.
