Patients - PowerPoint PPT Presentation

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Patients

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Title: Personal Health Information: The Last Frontier on the World Wide Web Author: Jim Cimino Last modified by: James J Cimino Created Date: 9/9/1999 1:59:12 AM – PowerPoint PPT presentation

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Title: Patients


1
Patients Access to Medical RecordsExperience
with PatCIS
  • James J. Cimino
  • Division of General Internal Medicine
  • Department of Medical Informatics

2
Overview
  • Motivation
  • Architecture
  • Functionality
  • Recruitment
  • Evaluation Techniques
  • Results
  • Discussion

3
Motivation
  • Understanding on-line health information
  • Access to personal health records
  • Regulatory requirements are coming
  • Commercial sites give patients access to their
    data
  • What will happen to the patient?
  • What will happen to the patient-provider
    relationship?

4
The Patient Clinical Information System (PatCIS)
  • New York Presbyterian Hospital clinical data
    repository
  • Web-based Clinical Information System (WebCIS)
  • National Information Infrastructure contract from
    NLM
  • give patients WebCIS
  • see what happens
  • Pilot study conducted

5
PatCIS Architecture
Web Server
Web Browser
patcis.cgi
Data Entry
Session Registry
Vital Signs
Blood Sugar
Logout
Data Entry
Review
Advice
Education
Usage Log
Comments
Help
Internet
6
Functionality
  • Sign on
  • Data entry
  • Data review
  • Education
  • Advice
  • Infobuttons
  • Customization

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Recruitment
  • Mail physician consent forms to physicians
  • Wait for physicians to suggest subjects
  • Mail URL for consent form to subjects
  • On-line enrollment
  • Patient prints, signs and mails consent form
  • Physician provides function-specific consent
  • Mail user name, password and SecurID card to
    patients

34
Evaluation Issues
  • Theories and methods from
  • cognitive and social sciences
  • usability engineering
  • studies of human-computer interaction
  • Complexity and diversity of users leads to need
    for multi-method approach to evaluation
  • formative - feedback into design
  • summative - evaluate final product

35
Evaluation Challenges
  • Varied users who interact from various locations
  • Less able to conduct controlled studies
  • Current state-of-the-art
  • track user actions (e.g. clicks) - tells what
    they do, but not why
  • on-line questionnaires/feedback forms - often not
    filled in, limited questions
  • interviews - users often do not know what they do

36
Evaluation of Patient Systems
  • What type of information do patients want?
  • What is the effect on doctor-patient interaction?
  • How does system affect patient understanding and
    communication with their providers?
  • understanding their own condition
  • decision making and management of their condition
  • How to collect useful data from limited number of
    subjects?

37
Patient Variability
  • Differences in prior knowledge
  • Health differences
  • Cognitive differences
  • Cultural diversity
  • Motivational differences
  • Varied educational background

38
PatCIS Evaluation Questions
  • What features of PatCIS are most used by
    patients?
  • What features are least used and why?
  • Are there usability issues that need to be
    resolved?
  • How does use of PatCIS affect the doctor-patient
    interaction?
  • Can patients comprehend information presented by
    PatCIS?
  • Does use of PatCIS affect decision making and
    disease management?

39
Televaluation of PatCIS
4. Tracking User Actions - System Usage
Database (log files)
1. Video Based Usability Testing - in
laboratory
Interact via WWW
Patient Information System (PatCIS)
Patient
3. E-mail (to evaluators)
2. Telephone Interviews (audiotape)
5. On-line Questionnaire Data
(sequenced forms)
(Kushniruk, Patel, Patel, Cimino, 2001)
40
Log File Analysis
  • sandcar!Fri Oct 27 113222 2000!cim.cpmc.columbia
    .edu!patcislogin
  • sandcar!Fri Oct 27 113224 2000!cim.cpmc.columbia
    .edu!patcisData Review
  • sandcar!Fri Oct 27 113228 2000!cim.cpmc.columbia
    .edu!patcisData ReviewLaboratory
    Detaillab_detail.cgi
  • sandcar!Fri Oct 27 113230 2000!cim.cpmc.columbia
    .edu!patcisData ReviewLaboratory
    DetaillabSum.cgi
  • sandcar!Fri Oct 27 113235 2000!cim.cpmc.columbia
    .edu!patcislogout

41
Results
  • Functions
  • Enrollment
  • System usage
  • Function usage
  • Adverse events

42
Enrollment
  • Mailing to gt200 physicians
  • 13 physicians returned signed consent forms
  • 19 subjects suggested
  • 13 enrolled
  • 12 used the system over 19 months
  • 1 non-CPMC subject enrolled

43
Baseline Questionnaire data
  • Initial patient expectations
  • will keep me informed of latest developments
  • will enable me to better understand treatment
  • possible information my doctor may forget
  • timely availability of test results
  • Prior subject education
  • Majority of subjects (90 ) had some
    post-secondary education
  • Conditions patients were interested included
    cholesterol management, diabetes and chronic
    conditions
  • All were prior computer users

44
System Usage
  • 131 log-on failures
  • 22 wrong user name
  • 51 wrong password
  • 58 wrong Secure ID
  • 33 log-ons without any activity
  • 466 active sessions (261 logged out)
  • -----
  • 630 log-ons

45
Log-Ons Failures by User
46
Active Log-Ons by User
47
Average Monthly Log-Ons
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Average Session Time by User
49
Minutes per Month
50
Function Usage I
  • Data review 1831 total
  • 1518 laboratory
  • 737 Laboratory button ? 1083 specific reports
  • 186 Laboratory Details button
  • 249 summaries
  • 36 vital signs
  • 35 diabetes flow sheets
  • 212 reports (81 radiology, 35 pathology)
  • 30 Microbiology

51
Function Usage I
I
  • Data review 1831 total
  • Data entry 73 total
  • 34 vital signs
  • 39 diabetes flow sheets
  • Education 53 total
  • Advice 6 total
  • 5 cholesterol guideline
  • 1 mammography guideline
  • Other
  • 10 newsgroups
  • 83 infobuttons
  • 2 comments
  • 10 e-mail to physician
  • 17 disclaimers
  • 13 help

52
Adverse Events
  • None reported

53
Interviews
  • Conducted (via telephone) summer/fall 2000
  • Both patients and their physicians interviewed
  • Audio recorded, transcribed and qualitatively
    analyzed
  • Examples of interview probes (for patient
    interviews)
  • General usage
  • What do you use PatCIS for, why?
  • What features have you found most (least)
    useful?
  • Usability
  • Have you had any problems using PatCIS?
  • Effects on health care interaction and decision
    making
  • Do you feel PatCIS has changed the way you view
    health or illness?
  • Has use of PatCIS changed in any way your
    interaction with your health care providers?
    Explain

54
Analyses of Interviews with Patients and
Physicians
  • Subjects felt that use of PatCIS had a direct
    impact on doctor-patient communication
  • For patients
  • Improved communication with physician resulting
    from reviewing their own lab results prior to
    meeting with their physician 85
  • For physicians
  • Allows for focus on issues of decision making and
    patient compliance during during doctor-patient
    interviews (rather than review of data) 100
  • Decreased workload in reviewing essential data

55
Excerpts from Patient Interviews
  • Communication is less in the way of getting
    information now, and more in the way of
    discussing treatment options and agreeing on a
    course of action, so to me its more efficient
    than the old way
  • I look for trends in my medical data and if I
    see something I can contact the doctor to see
    whats going on, what we can do, change meds or
    whatever

56
Excerpts from Physician Interviews
  • Right now most of the communication takes
    place during the ten or fifteen minute visit and
    if I throw a lot of information at the patient
    about their condition or what I want them to do,
    its very hard for them to absorb all that.
  • It (PatCIS) gives them a chance to go back and
    look at things about their health record that
    they can then ask better questions about in the
    limited time that we have during the visit. Its
    another channel of communication

57
Additional Findings
  • Low usage of certain functions (e.g. advice,
    educational) may have been due to lack of user
    knowledge of full system capability
  • Implications for providing further training
  • Usability
  • Occasional difficulties in viewing graphs
  • Problems with linkages to outside resources
  • Subjects did not have problems in learning how to
    use PatCIS for reviewing data
  • No adverse effects of use of PatCIS were
    indicated by patients or physicians

58
Summary
  • PatCIS was found to be usable by patients studied
  • Patients indicated they understood the
    information accessed
  • Review of data (Lab and reports) was the most
    important application of PatCIS by patients
  • Patients and physicians indicated that PatCIS had
    improved their level of communication
  • Low usage of other functions may have resulted
    from limited patient knowledge of system
    capabilities

59
Discussion
  • Architecture supports integration, security and
    tracking
  • Enrollment was disappointing
  • Population was highly selected by MD, by self,
    by Web
  • Two patterns monthly and daily
  • Log-on difficulties overcome
  • Laboratories are the most popular

60
Next Directions
  • Diabetes mellitus patients
  • Data entry
  • Coordination with clinicians
  • Targeted educational materials

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Conclusion
  • Enthusiasm is not universal
  • Technical issues were not a problem for our
    patients
  • Privacy is achievable
  • Patient understanding of their records was good
  • Other features were of less interest
  • Patient-physician impact was positive
  • better D-P communication
  • education of both patient and doctor
  • treatment negotiations with common understanding

64
Conclusions (cont.)
  • Our Analyses indicate that use of systems like
    PatCIS can serve to facilitate processes involved
    in improved health care delivery through shared
    workload between doctor and patient, resulting in
    better communication and negotiation
  • Reducing physician workload patients better
    informed of day-to-day variations in their own
    condition
  • Making patients more accountable for chronic
    diseases and management
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