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Research ArticleOriginal Research

Increased Health Information Technology Adoption and Use Among Small Primary Care Physician Practices Over Time: A National Cohort Study

Diane R. Rittenhouse, Patricia P. Ramsay, Lawrence P. Casalino, Sean McClellan, Zosha K. Kandel and Stephen M. Shortell
The Annals of Family Medicine January 2017, 15 (1) 56-62; DOI: https://doi.org/10.1370/afm.1992
Diane R. Rittenhouse
1Department of Family and Community Medicine, University of California, San Francisco, California
2Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, California
MD, MPH
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  • For correspondence: Diane.Rittenhouse@ucsf.edu
Patricia P. Ramsay
3School of Public Health, University of California, Berkeley, California
MPH
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Lawrence P. Casalino
4Division of Health Policy and Economics, Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York
MD, PhD
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Sean McClellan
5American Institutes for Research, Washington, DC
PhD
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Zosha K. Kandel
3School of Public Health, University of California, Berkeley, California
BA
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Stephen M. Shortell
3School of Public Health, University of California, Berkeley, California
6Haas School of Business, University of California, Berkeley, California
PhD, MPH, MBA
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    Figure 1

    Proportion of practices reporting EHR use at time 1 and time 2 (N = 566).

    EHR = electronic health record.

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    Table 1

    Practices’ Organizational Characteristics and External Incentives, Time 1 and Time 2 (N = 566)

    Practices, %
    VariableT1 (2007–2010)T2 (2012–2013)P Value
    Organizational characteristic
    Ownershipa<.001
     Physician owned90.686.8
     Hospital owned9.413.3
    Sizea<.001
     1–2 physicians65.763.6
     3–8 physicians34.336.4
    External incentive
    Pay for performancea<.001
     No47.541.0
     Yes52.559.0
    Public reportinga<.001
     No59.245.4
     Yes40.854.6
    Percentage of revenue from Medicareb<.001
     ≤20%28.424.7
     21% to 35%26.628.4
     >35%44.946.9
    • T1 = time 1; T2 = time 2.

    • ↵a The McNemar test was used to test for significant differences over time.

    • ↵b The Rao-Scott χ2 test was used to test for a significant difference over time.

    • Note: Analyses were weighted to be nationally representative.

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    Table 2

    Practices’ HIT Index Score, and Adoption and Use of Individual HIT Functionalities, Time 1 (2007–2010) and Time 2 (2012–2013)

    VariableT1T2Difference, T2 – T1P Valuea
    HIT index score,b mean (95% CI)4.77.32.6 (2.3–2.9)<.001
    HIT functionality
    EHR includes patient medications, %295122<.001
    Physicians use EHR for progress notes, %265123<.001
    Physicians use EHR for problem list, %284721<.001
    Physicians use EHR for potential drug interactions, %174628<.001
    Physicians use EHR for prompts and reminders, %193415<.001
    Physicians use EHR for alerts on abnormal test results, %153015<.001
    Practice uses EHR to collect data for quality measures, %174226<.001
    Physicians transmit prescriptions directly to pharmacies via computer, %257045<.001
    Physicians have electronic access to laboratory results, %8682−4<.001
    Physicians have electronic access to clinical information on patients’ ED visits, %7066−4<.001
    Physicians have electronic access to hospital discharge summaries, %69734<.001
    Physicians have electronic access to pharmacy record of prescriptions filled by patients, %214322<.001
    Physicians communicate with patients via e-mail, %112110<.001
    Patients can view medical record online, %11918<.001
    Practice maintains electronic registry, %
     For patients with asthma71710<.001
     For patients with congestive heart failure693<.001
     For patients with depression681<.001
     For patients with diabetes122210<.001
    • ED = emergency department; EHR = electronic health record; HIT = health information technology; T1 = time 1; T2 = time 2.

    • ↵a Paired t tests were used to test for significant difference in the overall HIT index over time. The McNemar test was used to test for significant differences in the proportion adopting each functionality over time.

    • ↵b Possible range is 0 to 18.

    • Note: Data were weighted to be nationally representative.

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    Table 3

    Bivariate Relationships Between Practice Organizational Characteristics and External Incentives at T1 and Change in the HIT Index Score Over Time

    Variable at T1HIT Index Score,a Mean (SE)Difference, T2 – T1, (95% CI)P Value
    T1T2
    Organizational characteristic
    Ownership
     Physician owned4.63 (0.03)7.24 (0.14)2.61 (2.35–2.87)<.001
     Hospital owned6.22 (0.22)8.83 (0.70)2.62 (1.53–3.70)<.001
    Practice size
     1–2 physicians3.88 (0.09)6.35 (0.19)2.47 (2.24–2.69)<.001
     3–8 physicians6.55 (0.09)9.48 (0.14)2.93 (2.46–3.39)<.001
    External incentive
    Pay for performance
     No4.49 (0.02)6.89 (0.09)2.39 (2.21–2.58)<.001
     Yes5.01 (0.08)7.93 (0.27)2.92 (2.50–3.34)<.001
    Public reporting
     No4.63 (0.02)7.57 (0.08)2.94 (2.75–3.13)<.001
     Yes4.85 (0.12)6.78 (0.39)1.94 (1.36–2.51)<.001
    Percentage of revenue from Medicare
     ≤20%5.56 (0.08)7.85 (0.16)2.29 (1.85–2.74)<.001
     21% to 35%4.87 (0.04)7.91 (0.10)3.03 (2.85–3.22)<.001
     >35%4.06 (0.07)6.62 (0.21)2.56 (2.28–2.84)<.001
    • HIT = health information technology; SE = standard error; T1 = time 1; T2 = time 2.

    • ↵a Possible range is 0 to 18.

    • Note: Data were weighted to be nationally representative. Paired t tests were used to test for significant differences over time.

    • View popup
    Table 4

    Association Between Practice Organizational Characteristics and External Incentives at Both Time 1 and Time 2, and HIT Index Score

    VariableHIT Index Score Estimated Regression Coefficient (95% CI)P Value
    Organizational characteristic
    Ownership
     Physician owned–
     Hospital owned1.48 (1.07–1.88)<.001
    Practice size
     1–2 physicians–
     3–8 physicians2.49 (2.26–2.72)<.001
    External incentive
    Pay for performance
     No–
     Yes0.47 (0.26–0.68)<.001
    Public reporting
     No–
     Yes1.30 (1.17–1.43)<.001
    Percentage of revenue from Medicare0.01 (0.01–0.02)<.001
    • GEE = generalized estimating equations; HIT = health information technology.

    • Notes: Linear regression model using GEE procedure. Data were weighted to be nationally representative. GEE analyses performed using SAS version 9.3 GENMOD procedure. The GEE model fits 2 cross-sectional regressions for times 1 and 2 with common regression coefficients and adjustment for the nesting of HIT measurements within practices.

Additional Files

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    Supplemental Appendix

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    • Supplemental data: Appendix - PDF file
  • The Article in Brief

    Increased Health Information Technology Adoption and Use Among Small Primary Care Physician Practices Over Time: A National Cohort Study

    Diane R. Rittenhouse , and colleagues

    Background Health information technology (HIT) is one of the foundations of high-performing primary care, but adoption of HIT by primary care practices is far from universal. This study analyzes data from telephone surveys of small primary care practices to better understand the correlates of greater health information technology implementation.

    What This Study Found Sixteen out of 18 measures of health information functionality increased during the study period, with largest gains among hospital-owned practices, practices with 3 to 8 (versus 1 to 2) physicians, practices with more Medicare patients, and those participating in pay-for-performance or public reporting of quality data. Physician use of electronic health records to collect quality data increased from 17 percent to 42 percent and e-prescribing increased from 25 percent to 70 percent over time. Hospital-owned practices used on average 1.5 more HIT processes than physician-owned practices, and practices with 3 to 8 physicians used 2.5 more HIT processes than smaller practices. External incentives (participation in pay-for-performance programs, participation in public reporting of clinical quality data, and greater proportion of revenue from Medicare) were also positively associated with greater adoption and use of HIT, although the effect sizes were smaller. The authors note that despite substantial increases in adoption and use of HIT, there remains ample room for improvement. Fewer than 50 percent of practices reported using most EHR functionalities. Only one in five practices used e-mail with patients or allowed patients to see their medical records online, and maintenance of electronic registries for the management of chronic disease was also low.

    Implications

    • The authors conclude that targeting assistance to smaller, physician-owned practices and offering payment incentives and technical support would help encourage uptake and use of HIT in primary care.
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The Annals of Family Medicine: 15 (1)
The Annals of Family Medicine: 15 (1)
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Increased Health Information Technology Adoption and Use Among Small Primary Care Physician Practices Over Time: A National Cohort Study
Diane R. Rittenhouse, Patricia P. Ramsay, Lawrence P. Casalino, Sean McClellan, Zosha K. Kandel, Stephen M. Shortell
The Annals of Family Medicine Jan 2017, 15 (1) 56-62; DOI: 10.1370/afm.1992

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Increased Health Information Technology Adoption and Use Among Small Primary Care Physician Practices Over Time: A National Cohort Study
Diane R. Rittenhouse, Patricia P. Ramsay, Lawrence P. Casalino, Sean McClellan, Zosha K. Kandel, Stephen M. Shortell
The Annals of Family Medicine Jan 2017, 15 (1) 56-62; DOI: 10.1370/afm.1992
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