Literature DB >> 24093850

The feasibility and accuracy of evaluating lipid management performance metrics using an electronic health record.

Christopher P Danford1, Ann Marie Navar-Boggan, Judy Stafford, Catherine McCarver, Eric D Peterson, Tracy Y Wang.   

Abstract

BACKGROUND: Over the past decade, electronic health records (EHRs) have emerged as a potential tool to assess quality of care; however, the feasibility and accuracy of EHRs to assess adherence to lipid management performance measures have not been evaluated.
METHODS: We created a retrospective cohort of 3779 patients with coronary artery disease who were followed up in a cardiology clinic at an academic medical center using an EHR database. Of these 3779 patients, 300 randomly-selected charts were reviewed to identify reasons for failure to adhere to lipid management performance measures.
RESULTS: Based on the EHR, a low-density lipoprotein cholesterol measurement was obtained in 73% of patients within the past 3 years; of which, 34% had low-density lipoprotein cholesterol levels ≥100 mg/dL and statin therapy had been prescribed in 88%. Manual chart review revealed that many of these apparent failures were actually false positives, due to inaccurate capture of indications and contraindications to lipid measurement and statin prescription, patient/provider treatment preferences, and external data sources.
CONCLUSIONS: While it is possible to monitor adherence to lipid management performance measures using an EHR, the accuracy of this assessment is currently limited and may underestimate provider quality of care.
© 2013.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24093850     DOI: 10.1016/j.ahj.2013.07.024

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  5 in total

1.  Recommendations for a mixed methods approach to evaluating the patient-centered medical home.

Authors:  Roberta E Goldman; Donna R Parker; Joanna Brown; Judith Walker; Charles B Eaton; Jeffrey M Borkan
Journal:  Ann Fam Med       Date:  2015-03       Impact factor: 5.166

2.  Comparison of Electronic Health Record-Based and Claims-Based Diabetes Care Quality Measures: Causes of Discrepancies.

Authors:  Michael Barton Laws; Joanne Michaud; Renee Shield; William McQuade; Ira B Wilson
Journal:  Health Serv Res       Date:  2017-12-28       Impact factor: 3.402

Review 3.  A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.

Authors:  Chris Tonner; Gabriela Schmajuk; Jinoos Yazdany
Journal:  Curr Opin Rheumatol       Date:  2017-03       Impact factor: 5.006

4.  Active Use of Electronic Health Records (EHRs) and Personal Health Records (PHRs) for Epidemiologic Research: Sample Representativeness and Nonresponse Bias in a Study of Women During Pregnancy.

Authors:  Julie K Bower; Claire E Bollinger; Randi E Foraker; Darryl B Hood; Abigail B Shoben; Albert M Lai
Journal:  EGEMS (Wash DC)       Date:  2017-02-23

5.  Errors in Electronic Health Record-Based Data Query of Statin Prescriptions in Patients With Coronary Artery Disease in a Large, Academic, Multispecialty Clinic Practice.

Authors:  Eric Y Shin; Patricia Ochuko; Kunal Bhatt; Brian Howard; Gerard McGorisk; Linda Delaney; Kristan Langdon; Marjan Khosravanipour; Andiran A Nambi; Allison Grahovec; Douglas C Morris; Penny Z Castellano; Leslee J Shaw; Laurence S Sperling; Abhinav Goyal
Journal:  J Am Heart Assoc       Date:  2018-04-12       Impact factor: 5.501

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.