Literature DB >> 26431073

Building an electronic health record integrated quality of life outcomes registry for spine surgery.

Tej D Azad1, Maziyar Kalani1, Terrill Wolf2, Alisa Kearney2, Yohan Lee2, Lisa Flannery2, David Chen1, Ryan Berroya2, Matthew Eisenberg2, Jon Park1, Lawrence Shuer1, Alison Kerr2, John K Ratliff1.   

Abstract

OBJECTIVE: Demonstrating the value of spine care requires adequate outcomes assessment. Long-term outcomes are best measured as overall improvement in quality of life (QOL) after surgical intervention. Present registries often require parallel data entry, introducing inefficiencies and limiting compliance. The authors detail the methodology of constructing an integrated electronic health record (EHR) system to collect QOL metrics and demonstrate the effect of data collection on routine clinical workflow. A streamlined approach to collecting QOL data can capture patient data without requiring dual data entry and without increasing clinic visit times.
METHODS: Through extensive literature review, a combination of QOL assessments was selected, consisting of the Patient Health Questionnaire-2 and -9, Oswestry Disability Index, Neck Disability Index, and visual analog scale for pain. These metrics were used to provide assessment of QOL following spine surgery and were incorporated into standard clinic workflow by a multidisciplinary team of surgeons, advanced practice providers, and health care information technology specialists. A clinical dashboard tracking more than 25 patient variables was developed. Clinic flow was assessed and opportunities for improvement reviewed. Duration of clinic visits before and after initiation of QOL measure capture was recorded, with assessment of mean clinic visit times for the 12 months before and the 12 months after implementation.
RESULTS: The integrated QOL capture was instituted for 3 spine surgeons in a tertiary care academic center. In the 12-month period prior to initiating collection of QOL data, 806 new patient visits were completed with an average visit time of 127.9 ± 51.5 minutes. In the 12 months after implementation, 1013 new patient visits were recorded, with 791 providing QOL measures with an average visit time of 117.0 ± 45.7 minutes. Initially the primary means of collecting patient outcome data was via paper form, with gradual transition to collection via entry into the electronic medical records system. To improve electronic data capture, paper forms were eliminated and an online portal used as part of the patient rooming process. This improved electronic capture to nearly 98% without decreasing the number of patients enrolled in the process.
CONCLUSIONS: A systematic approach to collecting spine-related QOL data within an EHR system is feasible and offers distinct advantages over registries that require dual data entry. The process of data collection does not impact patients' clinical visit or providers' clinical workflow. This approach is scalable, and may form the foundation for a decentralized outcomes registry network.

Entities:  

Keywords:  APP = advanced practice provider; CPT = Current Procedural Terminology; DRG = diagnosis-related group; DSM-IV = Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition; EDW = enterprise data warehouse; EHR = electronic health record; ICD-9-CM = Classification of Diseases, Ninth Revision, Clinical Modification; MA = medical assistant; MS-DRG = Medicare Severity-DRG; N2QOD = National Neurosurgery Quality and Outcomes Database; NDI = Neck Disability Index; NSQIP = National Surgical Quality Improvement Program; ODI = Oswestry Disability Index; PHQ = Patient Health Questionnaire; QOL = quality of life; VAS = visual analog scale for pain; outcomes; quality of life measures; registries; spine surgery

Mesh:

Year:  2015        PMID: 26431073     DOI: 10.3171/2015.3.SPINE141127

Source DB:  PubMed          Journal:  J Neurosurg Spine        ISSN: 1547-5646


  9 in total

1.  The use of electronic PROMs provides same outcomes as paper version in a spine surgery registry. Results from a prospective cohort study.

Authors:  Francesco Langella; Paolo Barletta; Alice Baroncini; Matteo Agarossi; Laura Scaramuzzo; Andrea Luca; Roberto Bassani; Giuseppe M Peretti; Claudio Lamartina; Jorge H Villafañe; Pedro Berjano
Journal:  Eur Spine J       Date:  2021-05-10       Impact factor: 3.134

2.  Chronic care coordination by integrating care through a team-based, population-driven approach: a case study.

Authors:  Constance O van Eeghen; Benjamin Littenberg; Rodger Kessler
Journal:  Transl Behav Med       Date:  2018-05-23       Impact factor: 3.046

3.  Nurse, Patient, and Care Partner Perceptions of a Personalized Safety Plan Screensaver.

Authors:  Megan Duckworth; Emily Leung; Theresa Fuller; Jenzel Espares; Brittany Couture; Frank Chang; Alexandra C Businger; Sarah Collins; Anuj Dalal; Anne Fladger; Jeffrey L Schnipper; Kumiko O Schnock; David W Bates; Patricia C Dykes
Journal:  J Gerontol Nurs       Date:  2017-04-01       Impact factor: 1.436

4.  Quality and Safety Improvement in Spine Surgery.

Authors:  Fan Jiang; Jamie R F Wilson; Jetan H Badhiwala; Carlo Santaguida; Michael H Weber; Jefferson R Wilson; Michael G Fehlings
Journal:  Global Spine J       Date:  2020-01-06

5.  Developing a Preliminary Conceptual Framework for Guidelines on Inclusion of Patient Reported-Outcome Measures (PROMs) in Clinical Quality Registries.

Authors:  Rasa Ruseckaite; Ashika D Maharaj; Karolina Krysinska; Joanne Dean; Susannah Ahern
Journal:  Patient Relat Outcome Meas       Date:  2019-12-10

6.  Mobile electronic versus paper case report forms in clinical trials: a randomized controlled trial.

Authors:  Robert Fleischmann; Anne-Marie Decker; Antje Kraft; Knut Mai; Sein Schmidt
Journal:  BMC Med Res Methodol       Date:  2017-12-01       Impact factor: 4.615

7.  Applications of Machine Learning Using Electronic Medical Records in Spine Surgery.

Authors:  John T Schwartz; Michael Gao; Eric A Geng; Kush S Mody; Christopher M Mikhail; Samuel K Cho
Journal:  Neurospine       Date:  2019-12-31

8.  Improving the Patient-Physician Relationship in the Digital Era - Transformation From Subjective Questionnaires Into Objective Real-Time and Patient-Specific Data Reporting Tools.

Authors:  Nicolai Maldaner; Atman Desai; Oliver P Gautschi; Luca Regli; John K Ratliff; Jon Park; Martin N Stienen
Journal:  Neurospine       Date:  2019-12-31

9.  Translating Data Analytics Into Improved Spine Surgery Outcomes: A Roadmap for Biomedical Informatics Research in 2021.

Authors:  Jacob K Greenberg; Ayodamola Otun; Zoher Ghogawala; Po-Yin Yen; Camilo A Molina; David D Limbrick; Randi E Foraker; Michael P Kelly; Wilson Z Ray
Journal:  Global Spine J       Date:  2021-05-11
  9 in total

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