National perceptions of EHR adoption: Barriers, impacts, and federal policies



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National perceptions of EHR adoption: Barriers, impacts, and federal policies National Center for Health Statistics Eric Jamoom, PhD, MPH, MS, Senior Service Fellow In collaboration with the Office of the National Coordinator for HIT Vaishali Patel, MPH, PhD Jennifer King, PhD Michael Furukawa, PhD National Conference on Health Statistics August 8, 2012 National Center for Health Statistics Division of Health Care Statistics

Objectives To describe differences between adopters and nonadopters regarding barriers, beliefs about benefits of EHR use, and familiarity with policies available to facilitate EHR adoption. To identify what physician and practice characteristics are associated with different policies to support EHR adoption.

Background EHR barriers and physician experiences of EHR use DesRoches et al., 2008 HITECH Act The Physician Workflow Survey 2011 Expert panel Barriers associated with EHR adoption Impacts associated with using EHRs Policies influencing EHR adoption

2011 Workflow Study Flow Chart Total NAMCS EHR Mail Sample (N=10,301) Out of scope (n~3100) Unknown (n~ 1,900) IN SCOPE EHR Mail Survey Sample (n=5,266) Refusals (n=709) Respondents the EHR mail survey (n=4,557) Complete Workflow Respondent Adopters N=1793 Non Adopters N=1387

Workflow Respondent Characteristics Characteristics Overall Non-adopter EHR Adopter A g e : 5 0ye a rs 63% 70%* 57%* Gender: Male 74% 74% 73% Race: White Asian Black 77% 10% 4% 78% 9% 4% Source: Physician Workflow Survey, 2011 *Differences between adopters and nonadopters presented were significant (p<0.01) ^ ~13% of practice size and ownership data are missing due to refusal to EMR mail survey, 77% 11% 4% Ethnicity: Hispanic 5% 4% 7% In an MSA: Ye s 88% 88% 87% Size^ 1-2 (small) 3-10 (medium) 11 (large) 34% 40% 13% 46%* 34%* 4%* 24%* 45%* 21%* Ownership^: MD owned 56% 62%* 50%*

RESULTS: Barriers to EHR adoption

Major barriers to EHR adoption Cost of purchasing a system Loss of Productivity Finding an EHR that meets Practice needs Annual Maintenance cost Adequacy of training Effort needed to select a system Adequacy of technical support Resistance of practice to change work habits Reliability of the system Ability to secure financing Reaching consensus within the practice Access to High Speed Internet 34 33 33 31 30 30 25 20 13 8 46 58 Source: NCHS/Physician Workflow Survey

Top 5 Major barriers Nonadopters: 1.Purchase cost (74%) 2.Productivity loss (59%) 3.Maintenance cost (49%) 4.Finding an EHR (45%) 5.Adequate training (41%) Ad op te r: 1.Purchase Cost (51%) 2.Productivity loss (37%) 3.Effort to select EHR (27%) 4.Adequate training (26%) 5.Finding an EHR (26%) *Major barrier differences were significantly different between adopters and nonadopters (p<0.01) Source: NCHS/Physician Workflow Sur vey

Quotes (qualitative) Cost to Purchase: I have become an employed physician, [cost of purchasing an EHR system] is a large reason for this "We are on our 2nd EHR. The first one not certified for MU. We installed new EHR 2011." Productivity Loss: I tried to use an EMR and due to sense of slowing of the workflow caused by the EMR, I have abandoned it for now. Quotes are not representative. Source: NCHS/Physician Workflow Survey

More quotes Resistance to change: "I'll be closing my practice, along with a lot of my colleagues, when EHR becomes necessary to continue practice after 50 years in solo practice, do you actually think I would change?" Quotes are not representative. Source: NCHS/Physician Workflow Survey

Not all negative Accessibility to the EHR record "I really like our EHR. I can access information at any time/any place. I can field phone calls at home at night More organized information "EHR has eliminated paper charts making results more organized and allow for more easy work from home." Quotes are not representative. Source: NCHS/Physician Workflow Survey

Mixed quotes EHR is exceptionally valuable for clarity, ease of access, communication, [and] prescribing. It does not save me money. It does not save time. It may or may not improve outcomes. I enjoy having an EHR, but it slows us down and costs us more money." Quotes are not representative. Source: NCHS/Physician Workflow Survey

RESULTS: Impacts of EHR use

Positive EHR impacts on efficiency/operations Nonadopters Adopter Not MU ready Adopter MU ready Sending Rx electronically saves time Saves on managing & storing paper costs 71 67 71 72 75 82* Overall, their practice functions more efficiently 63 76** 79* An asset when recruiting physicians 62 58 68 *Significant differences between Adopters MU ready and Nonadopters (p<0.05) ** Significant differences between Adopters not MU ready and Nonadopters (p<0.05) Source: NCHS/Physician Workflow Survey

Positive EHR impacts on efficiency/operations (Cont.) Nonadopters Adopter Not MU ready Adopter MU ready Receive lab results faster 60 61 75* Produces financial benefits for the practice 49 56 67* Enhances data confidentiality 48 60** 70* Number of office visits increased 19 22 27* *Significant differences between Adopters MU ready and Nonadopters (p<0.05) ** Significant differences between Adopters not MU ready and Nonadopters (p<0.05) Source: NCHS/Physician Workflow Survey

Positive EHR impacts on clinical care Nonadopters Adopters not MU ready Adopters MU ready Makes records readily available at point of care 83 91** 94* Produces clinical benefits for practice 67 79** 88* Allows the physician to deliver better patient care 52 70** 75* *Significant differences between Adopters MU ready and Nonadopters (p<0.01) ** Significant differences between Adopters not MU ready and Nonadopters (p<0.01) Source: NCHS/Physician Workflow Survey

Negative EHR impacts on efficiency/operations Nonadopters Adopters not MU ready Adopters MU ready Amount of time to plan review order and document care has increased 77 78 77 Amount of time to respond to pharmacy calls increased Billing for services is less complete 32 34 28 21 18 22 Source: NCHS/Physician Workflow Survey

EHR Negative impacts on clinical care Nonadopters Adopters not MU ready Adopters MU ready EHR disrupts the way physicians interact with their patients 50* 64 61** *Significant differences between Adopters MU ready and Nonadopters (p<0.01) ** Significant differences between MU ready and not MU ready Adopters(p<0.01) Source: NCHS/Physician Workflow Survey

RESULTS: Policies and the influence of policies on EHR adoption

Medicare MU incentives Familiarity with ONC Programs Not familiar Do not participate Plan to or already participate EHR Adopt ers 19* 14* 67* Medicaid MU incentives 29 30* 42* Regional extension centers 63 18 19* EHR nonadopt ers Medicare MU incentives 24* 36* 40* Medicaid MU incentives 34 42* 24* Regional extension centers 67 20 13* * Significant (difference between adopters and nonadopters (p<0.01) Source: NCHS/Physician Workflow Survey

Major influence to adopt EHR* Nonadopter Proposed financial penalties Adopter 34 55 Technical assistance with EHR implementation 25 48 Capability of HIE w/in referral network 36 48 Government incentive payments 25 46 EHR used by trusted colleagues 23 39 EHR required for board certification 11 38 Assistance with selecting an EHR system 8 26 Availability certified products 8 26 0 20 40 60 *All differences are significant between adopters and nonadopters (p<0.01) Source: NCHS/Physician Workflow Survey

Result s Factors associated w/ policies reported as having a major influence on decision to adopt an EHR: Available certified products, EHR use by trusted colleagues, & technical assistance: Adoption status Incentive payments, financial penalties, capability for HIE w/in network, req. board certification: Adoption status, size EHR selection assistance Adoption status, specialty, ownership

Results (cont.) Factors associated with major barriers Productivity loss, maintenance cost, finding an EHR that meets needs, Adoption status, size, ownership Reaching consensus, reliability of system Adoption status, size Purchase cost, effort to select a system, secure financing, adequate training Adoption status, ownership Resistance to change work habits Adoption status, size, and region Tech support adoption status only High speed internet no significant associations

Satisfaction & Productivity Purchase EHR system again: Ye s : 71% No : 29% EHR Satisfaction: Very satisfied: 38% Somewhat satisfied: 47% Somewhat dissatisfied: 10% Very dissatisfied: 5% EHR adversely affect productivity Yes: 63% No: 37% If yes, did you recover? Recovered 74% <3 months 34% 3-6 months 16% > 6 months 24% Not recovered 22% MISSING 4% Source: NCHS/Physician Workflow Sur vey

Discussion Major Barriers: Cost and Productivity loss EHR Workflow im p act: MU ready adopters experienced : financial benefits, faster lab results, & e-rx saves time Both adopter groups experienced: Overall more efficient practice, clinical benefits, better patient care, enhanced data confidentiality, & availability of records at POC. All groups disagreed EHR use leads to: Increased office visits, less complete billing, & increased time responding to Rx calls.

Discussion (cont.) All groups agree: Increase in time spent planning, reviewing, ordering, and documenting care EHR policy facilitators- Not familiar with RECs Nonadopters sensitive to most policies as major influence on EHR adoption Financial penalties

The Physician Workflow Study Q&A: Acknowledgments: - Office of the National Coordinator for Health Information Technology (ONC) - National Center for Health Statistics, Centers for Disease Control & Prevention (CDC) - Participants in the Physician Workflow Working Group - Respondents from the Physician Workflow Study For more information please contact Eric Jamoom at the National Center for Health Statistics 3311 Toledo Road, Room 3304, Hyattsville, MD 27082 Telephone: (301) 458-4798 E-mail: Ejamoom@cdc.gov Web: http://www.cdc.gov/nchs/ The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention or the Office of the National Coordinator for Health Information Technology. National Center for Health Statistics Division of Health Care Statistics