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Eprescribing in communitybased practices: successes and barriers

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Slow spread to community-based practices ... Initiated by BCBSMA and Tufts Health Plan ... Selecting wrong drug (Cipro/Cialis) Some doses/formulations not in system ... – PowerPoint PPT presentation

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Title: Eprescribing in communitybased practices: successes and barriers


1
E-prescribing in community-based practices
successes and barriers
  • Michael A Fischer, M.D., M.S.
  • Division of Pharmacoepidemiology and
    Pharmacoeconomics
  • Department of Medicine
  • Brigham and Womens Hospital
  • Harvard Medical School

2
Research team
  • Co-authors
  • Ritu Agarwal, PhD
  • U Maryland
  • Corey Angst, PhD
  • Notre Dame
  • Cate Desroches, PhD
  • MGH
  • BCBSMA
  • Megan Bell
  • Adrienne Cyrulik, MPH
  • Tufts Health Plan
  • Julie Newton
  • Zix Corporation
  • Angus MacDonald
  • Scott Plunkett

3
Background
  • Promise of e-prescribing
  • Improved safety
  • Value
  • Efficiency
  • Slow spread to community-based practices
  • Uncertain what drives successful e-prescribing
    uptake in community setting

4
Study setting
  • Initiated by BCBSMA and Tufts Health Plan
  • Partnered with ZixCorp, providing physicians with
    PocketScript system
  • Program began in early 2004

5
Prior studies erx adoption
Fischer et al, JGIM, 2008
6
Prior studies e-rx and costs
Fischer et al, Arch Int Med, 2008, in press
7
Prior studies e-rx and safety
  • Most alerts over-ridden by prescribers
  • Weingart et al. Arch Int Med, 2003
  • Reviews suggest reduced ADEs, but inadequate
    studies in outpatient setting
  • Ammenwerth et al. JAMIA, 2008

8
Study questions
  • What is the experience of community-based
    practices that adopt electronic prescribing
    systems?
  • What barriers remain to successful adoption and
    use of e-prescribing?
  • Where has e-prescribing succeeded has it created
    new problems?

9
Study design
  • Focus groups
  • Conducted spring 2008
  • Prescribers and office staff
  • Internal medicine, pediatrics, FP, cardiology,
    nephrology
  • Both current and former users
  • High/low volume, abandoned, transitioned to EMR
  • Interviews
  • Detailed discussions with prescribers

10
Findings
  • E-prescribing positives
  • Ongoing challenges/barriers

11
E-prescribing positives
  • Prescription security
  • Financial gain
  • Office efficiency
  • Medication safety
  • Insurance issues
  • Communication with pharmacy

12
E-prescribing positives
  • Prescription security
  • Less people touch the actual prescription
  • Patients cannot lose the prescription
  • Patients cannot tamper with prescription

13
E-prescribing positives
  • Financial gain
  • Direct incentives a major factor
  • Initial adoption subsidized
  • Later incentives for ongoing use
  • Potential gains in patient satisfaction
  • if we can reduce wait times, weve succeeded
  • Unclear of RoI in terms of practice billing

14
E-prescribing positives
  • Office efficiency
  • Major changes in practice workflow
  • Less calls for front-end staff
  • Refills and other non-critical medication issues
    can be batched for MD review
  • Frees staff time and attention
  • Less interruption of work
  • Pharmacy information is updated and accurate
  • Perceived ROI, but hard to quantify

15
E-prescribing positives
  • Medication safety
  • Quick review of patient medication history
  • Available round the clock, out of office
  • Alerts about drug-drug interactions
  • Office staff appreciated reminders
  • Physicians less certain, many alerts dismissed
  • Ability to identify patients on a specific drug
  • Especially useful for recalls
  • I can identify all the patients on..

16
E-prescribing positives
  • Insurance issues
  • Can see if a drug is not covered
  • Avoids callbacks, increased patient satisfaction
  • Ability to identify patients on a specific drug
  • Also useful for prescribing incentive programs

17
E-prescribing positives
  • Communication with pharmacy
  • Timely flow of information
  • Ability to send specific messages
  • e.g. no more refills until patient sees doctor

18
Ongoing challenges/barriers
  • Learning curve
  • Usability
  • Reliability
  • Safety concerns
  • Patient resistance
  • Data security

19
Ongoing challenges/barriers
  • Learning curve
  • New skill not covered in medical school
  • Difficult for older prescribers
  • High burden on champions/superusers
  • New tasks for some personnel source of
    resistance
  • Lack of support
  • Locked in with initial vendor choice

20
Ongoing challenges/barriers
  • Usability
  • Types of devices/interfaces
  • Problems with some pharmacies
  • Inability to transmit to PBMs
  • Reliability
  • Connectivity/network problems, loss of
    productivity
  • Resistance for sick patients or weekends

21
Ongoing challenges/barriers
  • Safety concerns
  • Selecting wrong patient
  • Selecting wrong drug (Cipro/Cialis)
  • Some doses/formulations not in system
  • Drug alerts not perceived as helpful ignore
    almost all
  • Some alerts may be handled by non-prescribers in
    the process of queuing

22
Ongoing challenges/barriers
  • Patient resistance
  • Wanting something in hand (older pts)
  • Bad experiences with failed transmissions
  • Inability to transmit to PBMs
  • Data security
  • Concern about whether transmitting patient data
    creates liability exposure
  • Concern about prescribing data and
    tracking/profiling
  • Who owns the data cost of changing

23
Summary observations
  • Overall positive experience almost none would
    turn back the clock
  • Successes office efficiency, pharmacy
    communication, formulary information,
    prescription security
  • Barriers/challenges Learning curve, reliability,
    questionable safety impact

24
Summary observations
  • Benefits more apparent in larger practices with
    high volume of chronic mediations
  • More opportunities to streamline workflow
  • Prescription volume/management is seen as a major
    issue at baseline
  • Possible financial gains easier to perceive

25
Next steps
  • On-site visits to observe system use, validate
    focus group observations
  • Large-sample survey to test generalizability of
    initial findings
  • Quantitative studies of e-rx impact on cost,
    safety, adherence, clinical outcomes
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