title: Relationship between use of electronic health record features and health care quality: results of a statewide survey.
abstract: BACKGROUND
  Electronic health records (EHRs) are widely viewed as useful tools for supporting the provision of high quality healthcare. However, evidence regarding their effectiveness for this purpose is mixed, and existing studies have generally considered EHR usage a binary factor and have not considered the availability and use of specific EHR features.
  
  
  OBJECTIVE
  To assess the relationship between the use of an EHR and the use of specific EHR features with quality of care.
  
  
  METHODS
  A statewide mail survey of physicians in Massachusetts conducted in 2005. The results of the survey were linked with Healthcare Effectiveness Data and Information Set (HEDIS) quality measures, and generalized linear regression models were estimated to examine the associations between the use of EHRs and specific EHR features with quality measures, adjusting for physician practice characteristics.
  
  
  METHODS
  A stratified random sample of 1884 licensed physicians in Massachusetts, 1345 of whom responded. Of these, 507 had HEDIS measures available and were included in the analysis (measures are only available for primary care providers).
  
  
  METHODS
  Performance on HEDIS quality measures.
  
  
  RESULTS
  The survey had a response rate of 71%. There was no statistically significant association between use of an EHR as a binary factor and performance on any of the HEDIS measure groups. However, there were statistically significant associations between the use of many, but not all, specific EHR features and HEDIS measure group scores. The associations were strongest for the problem list, visit note and radiology test result EHR features and for quality measures relating to women's health, colon cancer screening, and cancer prevention. For example, users of problem list functionality performed better on women's health, depression, colon cancer screening, and cancer prevention measures, with problem list users outperforming nonusers by 3.3% to 9.6% points on HEDIS measure group scores (all significant at the P < 0.05 level). However, these associations were not universal.
  
  
  CONCLUSIONS
  Consistent with past studies, there was no significant relationship between use of EHR as a binary factor and performance on quality measures. However, availability and use of specific EHR features by primary care physicians was associated with higher performance on certain quality measures. These results suggest that, to maximize health care quality, developers, implementers and certifiers of EHRs should focus on increasing the adoption of robust EHR systems and increasing the use of specific features rather than simply aiming to deploy an EHR regardless of functionality.
authors.affiliation: Division of General Medicine, Brigham and Women's Hospital, Boston, MA, USA.
authors.forename: Eric G
authors.initials: EG
authors.lastname: Poon
authors.forename: Adam
authors.initials: A
authors.lastname: Wright
authors.forename: Steven R
authors.initials: SR
authors.lastname: Simon
authors.forename: Chelsea A
authors.initials: CA
authors.lastname: Jenter
authors.forename: Rainu
authors.initials: R
authors.lastname: Kaushal
authors.forename: Lynn A
authors.initials: LA
authors.lastname: Volk
authors.forename: Paul D
authors.initials: PD
authors.lastname: Cleary
authors.forename: Janice A
authors.initials: JA
authors.lastname: Singer
authors.forename: Alexis Z
authors.initials: AZ
authors.lastname: Tumolo
authors.forename: David W
authors.initials: DW
authors.lastname: Bates
mesh_terms: D002908:Chronic Disease / Q000628:therapy; D019937:Diagnostic Techniques and Procedures / Q000706:statistics & numerical data; D006801:Humans; D008403:Mass Screening / Q000706:statistics & numerical data; D008404:Massachusetts; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D009369:Neoplasms / Q000175:diagnosis; D055553:Prescription Drugs; D011320:Primary Health Care / Q000706:statistics & numerical data; D019984:Quality Indicators, Health Care / Q000706:statistics & numerical data; D011787:Quality of Health Care / Q000458:organization & administration*
chemical_list: D055553:Prescription Drugs