Literature DB >> 32308885

Using Electronic Health Record Activity to Represent Interdisciplinary Care Teams and Examining their Contribution to Hospital Length of Stay.

Dammika L Walpitage1, Amy Garcia2, Ellen Harper2, Neena K Sharma3, Lemuel R Waitman1.   

Abstract

Modeling variance in patient outcomes using medical claims and other forms of aggregated administrative data may ignore significant contributions associated with providers who are not recorded in billing transactions. We examined the association between interdisciplinary provider factors and length of stay (LOS) for 1,099 lumbar spine surgery patients. Interdisciplinary provider "dose" (number of providers/case), "workload" (care of other patients), and "activity" factors were defined and generated. Hierarchical Regression models were used to test the impact of these provider factors controlling for the effect of socio-demographic and clinical factors. Interdisciplinary provider factors explained 12% of additional variance in LOS. EHR-based interdisciplinary care team representations hold promise in contributing to our understanding of health care delivery and quality. Keywords: interdisciplinary care, nursing documentation, workload, length of stay, electronic health records (EHR). ©2019 AMIA - All rights reserved.

Entities:  

Year:  2020        PMID: 32308885      PMCID: PMC7153122     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  30 in total

Review 1.  Challenges of measuring and linking patient outcomes to nursing interventions in acute care settings.

Authors:  B O O'Connell; P J Warelow
Journal:  Nurs Health Sci       Date:  2001-09       Impact factor: 1.857

2.  Expressing observations from electronic medical record flowsheets in an i2b2 based clinical data repository to support research and quality improvement.

Authors:  Lemuel R Waitman; Judith J Warren; E LaVerne Manos; Daniel W Connolly
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

3.  Nurse value-added and patient outcomes in acute care.

Authors:  Olga Yakusheva; Richard Lindrooth; Marianne Weiss
Journal:  Health Serv Res       Date:  2014-09-25       Impact factor: 3.402

Review 4.  Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.

Authors:  Benjamin A Goldstein; Ann Marie Navar; Michael J Pencina; John P A Ioannidis
Journal:  J Am Med Inform Assoc       Date:  2016-05-17       Impact factor: 4.497

5.  Outliers in clinical chemistry quality-control schemes.

Authors:  M J Healy
Journal:  Clin Chem       Date:  1979-05       Impact factor: 8.327

6.  Associations of Nurse Staffing and Education With the Length of Stay of Surgical Patients.

Authors:  Eunhee Cho; Jeongyoung Park; Miyoung Choi; Hye Sun Lee; Eun-Young Kim
Journal:  J Nurs Scholarsh       Date:  2017-12-21       Impact factor: 3.176

7.  Structural equation model analysis of the length-of-hospital stay after lumbar spine surgery.

Authors:  Saddam F Kanaan; Lemuel R Waitman; Hung-Wen Yeh; Paul M Arnold; Douglas C Burton; Neena K Sharma
Journal:  Spine J       Date:  2014-11-13       Impact factor: 4.166

8.  Relationship of provider characteristics to outcomes, process, and costs of care for community-acquired pneumonia.

Authors:  J Whittle; C J Lin; J R Lave; M J Fine; K M Delaney; D Z Joyce; W W Young; W N Kapoor
Journal:  Med Care       Date:  1998-07       Impact factor: 2.983

9.  Benefits and drawbacks of electronic health record systems.

Authors:  Nir Menachemi; Taleah H Collum
Journal:  Risk Manag Healthc Policy       Date:  2011-05-11

10.  The Origin of Variation in Primary Care Process and Outcome Indicators: Patients, Professionals, Centers, and Health Districts.

Authors:  Juan F Orueta; Arturo García-Alvarez; Gonzalo Grandes; Roberto Nuño-Solinís
Journal:  Medicine (Baltimore)       Date:  2015-08       Impact factor: 1.889

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