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The Impact of Increasing Patient Portal Enrollment and Utilization in Appointment No-Show Rates in Family Medicine Clinics�� Raziel Estornino� University of Mary��

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Acknowledgement

  • Jacalyn Luchsinger and mentors
  • SUNY Upstate Hospital and Upstate Family Medicine
  • Yowali Singh, Sarah Irish, and Dr. Greenwald for the opportunity, support, and approval
  • Amanda Doran for consistent support, patience, and unwavering direction.
  • Mary Whipple, Leanne Torres, nurses, front office staff, attending providers, and residents. 
  • HIM for the data, Aaron P.
  • Friends, family, and God�

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Background of the Problem

  • What is a no-show?
  • Healthcare spending

- 19.7% Gross Domestic Product (GDP) (CMS.gov, 2021)

  • $150 billion a year (Ullah et al., 2018)
  • High no-show rate (15-20%)
  • Patient portal - MyChart
  • Pending MyChart activation
  • Workflow gap

-check-in, rooming, actual visit����

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1388

Total patients = 5,369

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MyChart Activation by Visit/MRN (Oct-Dec 2021)�

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Problem Statement

No-shows are significant setbacks to a cost-effective healthcare delivery; therefore, technology such as patient portals must be well utilized to improve patient appointment compliance, thus reducing expenditure.

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Significance of the Problem

  • Family Medicine Community
  • No-shows

- productivity

- 1650 visits (residents)

- continuity of care

- space and human resources

- timely appointments

  • Automated reminders
  • MyChart workflow gap

- Check-in, rooming, actual visit

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PICO(T) Question

Do process improvement and educational efforts with the family medicine community campus staff to increase patient portal enrollment and utilization affect the appointment no-show rates compared to the current workflows and processes of automated patient reminder calls and text over the summer

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Purpose

  • Improve existing workflows

  • To increase MyChart enrollment and utilization

  • To find its impact on no-show rate

  • To support the hypothesis -MyChart utilization reduces no-shows.��

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Literature Review

  • National average no-show rate is 5%-7% (MGMA, 2017)
  • Clinic’s rate 15%-20%
  • Who are likely to no show?
  • Patient portal reduces no-shows

- increases patient engagement

  • Barriers and underutilization
  • Poor MyChart promotion
  • 26% pending MyChart activation
  • Promotion strategies

- Office visit as prime opportunity

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Recommendations

  1. Include MyChart in the workflow
  2. Providers to promote MyChart
  3. MyChart Brochures
  4. Staff Training
  5. Pending Activation and Proxy accounts
  6. Enable Text Alert
  7. MyChart Go-To Person
  8. Staff incentives������

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Implementation Plan

1. Focus – Family Medicine Community

2. Timeline

Month

Activity

May

Implementation, staff training/presentation (May 12th)

Changes: May 28th

June

Implementation

Delay: 1 month data

July

Data gathering 1st week; Analysis; Written report

August

Written report; final presentation

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Implementation Plan

  • Staff Education and Training

Staff meeting

  1. Tip sheet, PowerPoint, ways to enroll in Epic, pending accounts, proxy access, utilization (cancel via MyChart)
  2. One-on-one training
  3. Go-to person, time-constraints
  4. Rewards program
  5. Brochures

Changes: two staff trainings

Brochures at nurse station VS MyChart posters

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Measurement Plan

  • SlicerDicer and WorkBench

  • Project Outcome
  • Total sign-up (rewards program)
  • MyChart rate from IT
  • Oct-Nov 2021 data vs post-implementation rate

Post-project (Dec 2021 vs Jun 2022); trend

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Human Subject Protection

  • No consent form required
  • No identifiable information
  • Confidentiality agreement
  • No consent from staff (organizational support)
  • IRB proposal (school IRB chair)

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Conclusions

  • High no-show rate
  • Workflow gap
  • Patient portal increases patient engagement
  • Patient portal reduces no show
  • Implement MyChart in the workflows
  • Promote MyChart adoption
  • Train staff, go-to-person, incentives

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References

  • Berg, B. P., Murr, M., Chermak, D., Woodall, J., Pignone, M., Sandler, R. S., & Denton, B. T. (2013). Estimating the cost of no-shows and evaluating the effects of mitigation strategies. Medical Decision Making : An International Journal of the Society for Medical Decision Making, 33(8), 976–985. https://doi-org.ezproxy.umary.edu/10.1177/0272989X13478194
  • CMS.gov. (2021). National Health Expenditure Data. https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/NationalHealthAccountsHistorical
  • Fabrizio, N. (2017). Automated Appointment Reminders Lead to Fewer No-Shows. https://www.mgma.com/data/data-stories/automated-appointment-reminders-lead-to-fewer-no-s
  • GAO. (2017). Health Information Technology: HHS Should Assess the Effectiveness of Its Efforts to Enhance Patient Access to and Use of Electronic Health Information. https://www.gao.gov/products/gao-17-305#
  • Goel, M.S., Brown, T. L., Williams, A., Cooper, A. J., Hasnain-Wynia, R., & Baker, D. W. (2011). Patient reported barriers to enrolling in a patient portal. Journal of the American Medical Informatics Association, 18, i8–i12. https://doi-org.ezproxy.umary.edu/10.1136/amiajnl-2011-000473
  • Graham, T. A. D., Ali, S., Avdagovska, M., & Ballermann, M. (2020). Effects of a Web-Based Patient Portal on Patient Satisfaction and Missed Appointment Rates: Survey Study. Journal of Medical Internet Research, 22(5), e17955. https://doi-org.ezproxy.umary.edu/10.2196/17955
  • Horvath, M., Levy, J., L’Engle, P., Carlson, B., Ahmad, A., & Ferranti, J. (2011). Impact of health portal enrollment with email reminders on adherence to clinic appointments: a pilot study. Journal of Medical Internet Research, 13(2), e41. https://doi-org.ezproxy.umary.edu/10.2196/jmir.1702
  • Johnson, B. J., Mold, J. W., & Pontious, J. M. (2007). Reduction and Management of No-Shows by Family Medicine Residency Practice Exemplars. Annals of Family Medicine, 5(6), 534–539. https://doi-org.ezproxy.umary.edu/10.1370/afm.752
  • MGMA. (2017). Doing everything possible to prevent patient no-shows. https://www.mgma.com/data/data-stories/doing-everything-possible-to-prevent-patient-no-sh

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References

  • Miller, D. P., Jr, Latulipe, C., Melius, K. A., Quandt, S. A., & Arcury, T. A. (2016). Primary Care Providers’ Views of Patient Portals: Interview Study of Perceived Benefits and Consequences. Journal of Medical Internet Research, 18(1), e8. https://doi-org.ezproxy.umary.edu/10.2196/jmir.4953
  • Mohammadi, I., Wu, H., Turkcan, A., Toscos, T., & Doebbeling, B. N. (2018). Data Analytics and Modeling for Appointment No-show in Community Health Centers. Journal of primary care & community health, 9, 2150132718811692. https://doi.org/10.1177/2150132718811692
  • Plimpton, E. (2020). A Quality Improvement Project to Increase Patient Portal Enrollment and Utilization in Women Living With HIV at Risk for Disengagement in Care. The Journal of the Association of Nurses in AIDS Care : JANAC, 31(1), 60–65. https://doi-org.ezproxy.umary.edu/10.1097/JNC.0000000000000153
  • Ronda, M. C., Dijkhorst-Oei, L.-T., & Rutten, G. E. (2014). Reasons and Barriers for Using a Patient Portal: Survey Among Patients With Diabetes Mellitus. Journal of Medical Internet Research, 16(11), 1. https://doi-org.ezproxy.umary.edu/10.2196/jmir.3457
  • Sobota, A., & Vais, S. (2019). Our Sickle Cell Clinic Was Struggling With No-Shows. So We Called an Uber. https://healthcity.bmc.org/population-health/our-clinic-was-struggling-no-shows-so-we-called-uber
  • Shah, K., Alshammaa, A., Affan, M., Schultz, L., Walbert, T., & Zaman, I. (2019). Education Research: Electronic patient portal enrollment and no-show rates within a neurology resident clinic. Neurology, 92(1), 50–54. https://doi-org.ezproxy.umary.edu/10.1212/WNL.0000000000006685
  • Ullah S, Rajan S, Liu T, Demagistris E, Jahrstorfer R, et al. (2018). Why do Patients Miss their Ap- pointments at Primary Care Clinics?. J Fam Med Dis Prev 4:090. doi.org/10.23937/2469-5793/1510090
  • Zhong, X., Liang, M., Sanchez, R., Yu, M., Budd, P. R., Sprague, J. L., & Dewar, M. A. (2018). On the effect of electronic patient portal on primary care utilization and appointment adherence. BMC Medical Informatics and Decision Making, 18(1), 84. https://doi-org.ezproxy.umary.edu/10.1186/s12911-018-0669-8��