Developments in Arizona Rural Health: Health Information Technology 40th Annual Arizona Rural Health Conference The Evolution of Rural Health. August 20, 2013 Center for Health Information & Research
Physician Adoption & Ranking of Electronic Medical Records March 2012 April 2013 William G. Johnson, PhD Professor of Biomedical Informatics Founder, CHiR Gevork Harootunian Senior Statistical Programmer, CHiR Center for Health Information & Research
Acknowledgements I would like to gratefully acknowledge the contributions of Tony Rodgers and Tom Betlach, the former and current Directors of AHCCCS; Elaine LeTarte, the former Executive Director of the Arizona Board of Osteopathic Examiners in Medicine and Surgery (ABOE); Jenna Jones, the current Executive Director of ABOE and Lisa Wynn, the Executive Director of the Arizona Medical Board. The data collection model and the results to be presented today would not have been possible without their dedicated cooperation.
Introduction This report describes: The characteristics of physicians and the organizations in which they practice in Arizona The utilization and exchange of electronic medical records among physicians & healthcare organizations Physicians rankings of EMR software by brand The extent to which EMR available functions (e.g. electronic prescribing) are used in practice Physician awareness and application for Medicare and Medicaid incentives for the adoption of EMRs Physicians future plans for implementing EMRs
Data Collection Methods Data collection began in 1991. (Extended to nurses and pharmacists in 2007). Survey data are merged with licensing applications. Scope of the survey limited by reliance on paper forms until adoption of electronic survey in March, 2012. Data are collected for in-state and out-of-state physicians. The current report is restricted to in-state physicians. Physicians with active licenses who are retired, semi-retired or on leave are excluded from the study.
Data Collection March 2012 April 2013 24,476 Total Physicians 13,938 Total Physician License Renewals 146 Physician States Cannot Be Identified 4,312 Licensed Physicians Residing Outside of AZ 9,488 Licensed Physicians Living in AZ 8,276 Physician Surveys Received (70% response rate) 806 Osteopathic Physicians 7,470 Allopathic Physicians Source: Arizona Medical Board (AMB), Arizona Board of Osteopathic Examiners (ABOE) Survey and Administrative Data, 2012-2013. Note: Physicians who responded to the survey as retired or semi-retired/on leave were removed from the denominator (excluded from this schematic).
UTILIZATION OF ELECTRONIC MEDICAL RECORDS Center for Health Information & Research
Methods of Storing Medical Records: 2012-2013 (N = 5,709) Method Number of Physicians Percent Paper Files Only 686 12.0 % EMR Only 374 6.5 % Scanned Images Only 71 1.2 % Paper + Scanned Images Only 362 6.3 % EMR + Paper Only 149 2.6 % EMR + Scanned Images Only 1,834 32.1 % Paper + Scanned Images + EMR 2,233 39.1 % EMR alone or in combination* 3,476 60.8% Source: AMB, ABOE Survey Data, 2007-2009; 2009-2011; 2012-2013. Note: 2,567 respondents did not identify a method of storing medical records (missing).
Methods of Storing Medical Records 2012-2013 vs. 2007-2009 & 2009-2011 60.8% EMR alone or in combination 52.3% 45.1% Paper + Scanned Images + EMR 13.4% 12.4% 39.1% EMR + Scanned Images Only EMR + Paper Only Paper + Scanned Images Only Scanned Images Only 16.8% 11.6% 2.6% 6.6% 7.6% 6.3% 4.8% 6.2% 1.2% 2.4% 3.2% 32.1% 2012-2013 N = 5,709 2009-2011 N = 2,137; W = 8,996 2007-2009 N = 6,387 EMR Only 6.5% 18.6% 13.4% Paper Files Only 12.0% 37.3% 45.6% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Source: AMB, ABOE Survey Data, 2007-2009; 2009-2011; 2012-2013. Note: 2007-2009, Respondents who did not identify a method of storing medical records (missing): 390 for 2007-2009 and 2,567 for 2012-2013. *Data on EMR alone or in combination is not mutually exclusive from other categories.
EMR Utilization by Type of Practice, 2012-2013 Type of Practice Utilization Rate Physician Owned Solo Practice 53.9% Physician Owned Group Practice 78.6% Hospital or Medical School Physician Group Practice 91.7% Community or Rural Health Center 91.3% Government Health Organization (VA, Indian Health Service, etc.) 95.8% Private Hospital System 87.4% Private Outpatient Facility Not Part of a Hospital System 76.5% Medical School/University/Research Center 91.6% Health Insurer/Pharmacy/ w/o Provision of Care NA Other 69.2%
Urban Rural Comparisons
EMR Use by County, 2012-2013 (N=6,420) Pima Maricopa Yuma Yavapai 81.1% 77.5% 78.9% 87.4% Santa Cruz 100.0% Pinal 83.5% Navajo 70.7% Mohave 78.8% La Paz 37.5% Greenlee 100.0% Graham Gila Coconino Cochise Apache 84.2% 82.4% 79.7% 77.8% 76.0% 0% 20% 40% 60% 80% 100% Source: AMB, ABOE Survey Data, 2012-2013. Note: Table does not include retired physicians. Additionally, 1,468 respondents did not identify a method of storing medical records and 388 were of unknown county.
Trends County 2012-2013 % Non Users 2007-2009 % Non Users Apache 31.3% 47.1% Cochise 17.2% 56.6% Coconino 17.6% 56.8% Gila 12.5% 67.7% Graham 12.5% 57.9% Greenlee 0% 57.9% La Paz 60.0% 66.7% Maricopa 19.6% 57.2% Mohave 20.0% 64.1% Navajo 31.0% 52.9% Pima 16.5% 56.0% Pinal 14.0% 52.1% Santa Cruz 0% 77.8% Yavapai 10.3% 62.6% Yuma 15.6% 73.3% Total 17.8% 57.6%
Trends 100% 80% 60% 47.1% 56.6% 56.8% 67.7% 57.9% 57.9% 60.0% 66.7% 57.2% 64.1% 52.9% 56.0% 52.1% 77.8% 62.6% 73.3% 40% 20% 0% 31.3% 17.2% 17.6% 12.5% 12.5% 0.0% 19.6% 20.0% 31.0% 16.5% 14.0% 0.0% 10.3% 15.6% 2012-2013 Non Users 2007-2009 Non Users
Multivariate Predictors of Using an EMR 2012-2013 Variable Odds Ratio (EMR User) Odds Ratio (Fully Connected EMR User) Type of Practice (vs. Federal Government) Physician Owned Solo Practice 0.05* 0.61 Physician Owned Group Practice 0.14* 0.53** Hospital/Medical School Group Practice 0.41* 0.47* Community or Rural Health Center 0.37* 0.34* Private Hospital System 0.26* 0.26* Private Outpatient Facility not part of Hospital System 0.13* 0.42 Medical School, University Research Center 0.37* 0.10* State or County Hospital 0.26* 1.00** DO (vs. MD) 0.97 1.29 Age (vs. 65 and older) 25 to 34 3.70* 3.04* 35 to 44 3.38* 2.59** 45 to 54 2.36* 2.37** 55 to 64 1.68* 1.68
Multivariate Predictors of Using an EMR, 2012-2013 (cont.) Variable Odds Ratio (EMR User) Odds Ratio (Fully Connected EMR User) Gender (Female vs. Male) 0.84** 0.69 Location (vs. all AZ counties except Maricopa and Pima) Maricopa County 0.88 0.77 Pima County 0.97 0.74 Specialty (vs. Hospital-Based) Primary Care 1.21* 6.83* Medical Care 1.01** 3.23* Pediatric Care 1.29** 3.93* Surgical Care 0.86 1.41 Source: AMB, ABOE Survey & Licensing Data, 2012 2013. Note: 1,742 observations were deleted due to missing values. *Statistically significant at p less than or equal to 0.05. **Statistically significant at less than or equal to 0.10.
Summary Clear trends between 2007-2013 Increasing use of EMRs Somewhat slower increase in the exchange of electronic information Reliance on paper records alone decreasing but paper records frequently used in combination with EMRs Utilization of scanned forms increasing slightly Background of likely sources of growth Incentives/penalties designed to induce increases in use of EMRs Cohort effects: as older physicians retire they are replaced by cohorts trained in use of EMRs (see med school rates) Higher probability of implementation by hospitals and large group practices causes disproportionate increase in the number of physicians using EMRs, which is what our survey measures
EMR SOFTWARE USE AND PHYSICIAN RANKINGs Center for Health Information & Research
EMR Use by Vendor 70 Users 1,000 958 900 800 795 700 600 500 400 300 200 100 614 125 275 82 372 135 70 220 71 403 86 134 527 0 Source: AMB, ABOE Survey Data, 2012 2013. Note: The Other vendor includes all vendors contracted with government hospitals/clinics. 2,820 physicians did not respond to the survey question on vendor name.
EMR Use by Vendor < 70 Users 70 63 60 50 49 40 30 20 22 22 32 26 22 22 10 0 1 9 1 Source: AMB, ABOE Survey Data, 2012 2013. Note: 2,820 physicians did not respond to the survey question on vendor name.
EMR Users Ratings of All Vendors: Summary Criterion Weighted Mean Number of Physicians Ease of Use 3.3 4,640 Effect on Physician Productivity 3.0 4,619 Effect on Staff Productivity 3.1 4,597 Reliability 3.5 4,604 Performance vs. Promise 3.1 4,517 Mean of the Weighted Means 3.3 -- Source: AMB, ABOE Survey Data, 2012 2013. Note: Physicians practicing in government settings have been excluded from these results.
Physician Utilization of EMR Functions 4,500 4,000 3,500 3,000 2,500 2,000 1,500 4,059 3,520 1,226 3,860 3,257 1,681 4,192 3,584 1,313 2,586 1,972 1,915 1,341 Included Used Exchanged 1,659 1,188 1,000 500 454 530 515 0 Patient Care Summary Prescription Function Lab Results Function Reminders Intervention Function Public Health Reports Function Quality Metrics Function
Conclusion Percentage of physicians with EMRs is higher than national studies suggest, but much of the difference is due to difference in sample characteristics. Use of EMRs is much higher the larger the organization. Use of EMRs is inversely related to age. Rural counties have increased EMR use at a faster rate than urban counties Lack of exchange networks (HIEs) limits the exchange of EMR information between different practices/organizations Complete report will be available in September: send your email address if you wish to receive a copy
Center for Health Information & Research Web Site: http://chir.asu.edu Email: chir@asu.edu Main 602.496.2021 Fax 602.496.2020 William G. Johnson, PhD Professor of Biomedical Informatics william.g.johnson@asu.edu Phone 602.516.4241 Gevork Harootunian, BS Senior Statistical Programmer gevork.harootunian@asu.edu Phone 602.496.2008 Tameka Sama, MBA Senior Coordinator tameka.sama@asu.edu Phone 602.496.2009 Mail Code 8120 502 E Monroe St, Ste C320 Phoenix, AZ 85004