Literature DB >> 24508767

Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults.

John Heintzman1, Steffani R Bailey1, Megan J Hoopes2, Thuy Le2, Rachel Gold3, Jean P O'Malley4, Stuart Cowburn2, Miguel Marino5, Alex Krist6, Jennifer E DeVoe7.   

Abstract

To compare the agreement of electronic health record (EHR) data versus Medicaid claims data in documenting adult preventive care. Insurance claims are commonly used to measure care quality. EHR data could serve this purpose, but little information exists about how this source compares in service documentation. For 13 101 Medicaid-insured adult patients attending 43 Oregon community health centers, we compared documentation of 11 preventive services, based on EHR versus Medicaid claims data. Documentation was comparable for most services. Agreement was highest for influenza vaccination (κ =  0.77; 95% CI 0.75 to 0.79), cholesterol screening (κ = 0.80; 95% CI 0.79 to 0.81), and cervical cancer screening (κ = 0.71; 95% CI 0.70 to 0.73), and lowest on services commonly referred out of primary care clinics and those that usually do not generate claims. EHRs show promise for use in quality reporting. Strategies to maximize data capture in EHRs are needed to optimize the use of EHR data for service documentation. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Claims Data; Electronic Health Records; Medical Care Delivery; Preventive Services; Quality of Care

Mesh:

Year:  2014        PMID: 24508767      PMCID: PMC4078280          DOI: 10.1136/amiajnl-2013-002333

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  40 in total

1.  The use of Medicaid claims as a supplementary source of information on quality of asthma care.

Authors:  J M Bronstein; L Santer; V Johnson
Journal:  J Healthc Qual       Date:  2000 Nov-Dec       Impact factor: 1.095

2.  Validation of claims diagnoses and self-reported conditions compared with medical records for selected chronic diseases.

Authors:  J B Fowles; E J Fowler; C Craft
Journal:  J Ambul Care Manage       Date:  1998-01

3.  Pursuing integration of performance measures into electronic medical records: beta-adrenergic receptor antagonist medications.

Authors:  M Weiner; T E Stump; C M Callahan; J N Lewis; C J McDonald
Journal:  Qual Saf Health Care       Date:  2005-04

4.  Understanding interobserver agreement: the kappa statistic.

Authors:  Anthony J Viera; Joanne M Garrett
Journal:  Fam Med       Date:  2005-05       Impact factor: 1.756

5.  Comparison of administrative data and medical records to measure the quality of medical care provided to vulnerable older patients.

Authors:  Catherine H MacLean; Rachel Louie; Paul G Shekelle; Carol P Roth; Debra Saliba; Takahiro Higashi; John Adams; John T Chang; Caren J Kamberg; David H Solomon; Roy T Young; Neil S Wenger
Journal:  Med Care       Date:  2006-02       Impact factor: 2.983

6.  Natural language processing in the electronic medical record: assessing clinician adherence to tobacco treatment guidelines.

Authors:  Brian Hazlehurst; Dean F Sittig; Victor J Stevens; K Sabina Smith; Jack F Hollis; Thomas M Vogt; Jonathan P Winickoff; Russ Glasgow; Ted E Palen; Nancy A Rigotti
Journal:  Am J Prev Med       Date:  2005-12       Impact factor: 5.043

7.  Electronic health records and ambulatory quality. The authors’ reply.

Authors:  Lisa M Kern; Rainu Kaushal
Journal:  J Gen Intern Med       Date:  2013-09       Impact factor: 5.128

8.  Assessing the validity of national quality measures for coronary artery disease using an electronic health record.

Authors:  Stephen D Persell; Jennifer M Wright; Jason A Thompson; Karen S Kmetik; David W Baker
Journal:  Arch Intern Med       Date:  2006-11-13

9.  Are claims data accurate enough to identify patients for performance measures or quality improvement? The case of diabetes, heart disease, and depression.

Authors:  Leif I Solberg; Karen I Engebretson; Joann M Sperl-Hillen; Mary C Hroscikoski; Patrick J O'Connor
Journal:  Am J Med Qual       Date:  2006 Jul-Aug       Impact factor: 1.852

10.  Accuracy of identification of patients with immune thrombocytopenic purpura through administrative records: a data validation study.

Authors:  Jodi B Segal; Neil R Powe
Journal:  Am J Hematol       Date:  2004-01       Impact factor: 10.047

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  27 in total

1.  The bird's-eye view: A data-driven approach to understanding patient journeys from claims data.

Authors:  Katherine Bobroske; Christine Larish; Anita Cattrell; Margrét V Bjarnadóttir; Lawrence Huan
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

2.  Lack of Lipid Screening Disparities in Obese Latino Adults at Health Centers.

Authors:  John D Heintzman; Steffani R Bailey; John Muench; Marie Killerby; Stuart Cowburn; Miguel Marino
Journal:  Am J Prev Med       Date:  2017-02-09       Impact factor: 5.043

3.  The Pediatric Emergency Care Applied Research Network Registry: A Multicenter Electronic Health Record Registry of Pediatric Emergency Care.

Authors:  Sara J Deakyne Davies; Robert W Grundmeier; Diego A Campos; Katie L Hayes; Jamie Bell; Evaline A Alessandrini; Lalit Bajaj; James M Chamberlain; Marc H Gorelick; Rene Enriquez; T Charles Casper; Beth Scheid; Marlena Kittick; J Michael Dean; Elizabeth R Alpern
Journal:  Appl Clin Inform       Date:  2018-05-23       Impact factor: 2.342

4.  Community Health Center Use After Oregon's Randomized Medicaid Experiment.

Authors:  Jennifer E DeVoe; Miguel Marino; Rachel Gold; Megan J Hoopes; Stuart Cowburn; Jean P O'Malley; John Heintzman; Charles Gallia; K John McConnell; Christine A Nelson; Nathalie Huguet; Steffani R Bailey
Journal:  Ann Fam Med       Date:  2015 Jul-Aug       Impact factor: 5.166

5.  Using electronic health record data to evaluate preventive service utilization among uninsured safety net patients.

Authors:  John Heintzman; Miguel Marino; Megan Hoopes; Steffani Bailey; Rachel Gold; Courtney Crawford; Stuart Cowburn; Jean O'Malley; Christine Nelson; Jennifer E DeVoe
Journal:  Prev Med       Date:  2014-08-11       Impact factor: 4.018

6.  Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement.

Authors:  Robert W Grundmeier; Aaron J Masino; T Charles Casper; Jonathan M Dean; Jamie Bell; Rene Enriquez; Sara Deakyne; James M Chamberlain; Elizabeth R Alpern
Journal:  Appl Clin Inform       Date:  2016-11-09       Impact factor: 2.342

7.  Effect of Gaining Insurance Coverage on Smoking Cessation in Community Health Centers: A Cohort Study.

Authors:  Steffani R Bailey; Megan J Hoopes; Miguel Marino; John Heintzman; Jean P O'Malley; Brigit Hatch; Heather Angier; Stephen P Fortmann; Jennifer E DeVoe
Journal:  J Gen Intern Med       Date:  2016-06-21       Impact factor: 5.128

8.  Measuring Preventive Care Delivery: Comparing Rates Across Three Data Sources.

Authors:  Steffani R Bailey; John D Heintzman; Miguel Marino; Megan J Hoopes; Brigit A Hatch; Rachel Gold; Stuart C Cowburn; Christine A Nelson; Heather E Angier; Jennifer E DeVoe
Journal:  Am J Prev Med       Date:  2016-08-10       Impact factor: 5.043

9.  Receipt of Preventive Services After Oregon's Randomized Medicaid Experiment.

Authors:  Miguel Marino; Steffani R Bailey; Rachel Gold; Megan J Hoopes; Jean P O'Malley; Nathalie Huguet; John Heintzman; Charles Gallia; K John McConnell; Jennifer E DeVoe
Journal:  Am J Prev Med       Date:  2015-10-23       Impact factor: 5.043

10.  For Diabetes Shared Savings Programs, 1 Year of Data Is Not Enough.

Authors:  Lynne VanArsdale; Douglas Curran-Everett; Heather Haugen; Nancy Smith; Adam Atherly
Journal:  Popul Health Manag       Date:  2016-07-25       Impact factor: 2.459

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