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A View Into The Future: Telemedicine in the Pediatric Setting
Suzanne Paul, BSN, MSN, FNP-C Duke Johnson and Johnson Nurse Leadership Fellow Children’s Hospital Immunodeficiency Program
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Objectives Define Telemedicine
Explore modes of Telehealth in the 21st century How to Engage Clients in Telemedicine Identify Barriers in implementing Telemedicine Clinics Recognize Legal Obstacles of Telehealth
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Technology News
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10 Most Promising Telehealth Solutions of 2017
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Health Care Tech
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Patient Care that utilizes technology
Telemedicine Patient Care that utilizes technology Telehealth Health Care Services that utilize technology
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Examples of Telehealth
Store and forward e- consults Remote patient monitoring Video conferencing Real time patient encounters
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Children’s Hospital Colorado Service Locations
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Current Efforts Children’s Hospital Colorado
Telemedicine Audiology/Speech Therapy Concussion Psychology Burn Consults Transplant Psychology and Med Adhere Cardiology Aftercare Management Pulmonary Hypertension Support Child Abuse and Neglect Evaluation Clinical Nutrition CHIP Clinic Down Syndrome Multi-disciplinary Clinic Developmental Pediatrics (Autism Spectrum) Eating Disorder Psychological Support Emergency Psychiatry Endocrinology Endocrinology w/Diabetes Fetal ECHO Gastro Genetics Infectious Disease Neonatal Transfer Support Neurology Neurology Epilepsy Orthopedic Surgery Consultation and Surgery Prep Primary care -Integrated Psychiatry and Behavioral Health Psychiatry Pulmonary Sleep Medicine
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Current Projects ECHO Clinical Population Health Patient Navigation
Developmental Behavioral Pediatric Hepatitis C Child Abuse and Neglect HIV Complex Care Pediatrics Neurology Behavioral Health Nursing Practice Support TB Management Cancer Survivorship Pediatric Epilepsy Population Health Patient Navigation Pharmacy Integration in PCMH Obesity Prevention and Nutrition Quality Improvement for Local Public Health Food Safety Tobacco Control Research & Grants CoYoT1 (Helmsley Trust), AHRQ MAT, Subspecialty Care in Primary Care Medical Home, PCORI RCT
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Telemedicine for Subspecialty Care
For many who live in rural areas and have chronic conditions, receiving regularly scheduled visits with their pediatric subspecialist can be an extraordinary and expensive burden, often resulting in suboptimal care. Many children with chronic conditions have periodic exacerbations and debilitating symptoms that require consistent care and coordination with primary care. One potential solution is telemedicine
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Subspecialty care in rural Colorado
Started telemedicine May 2012 Current sites: - Casper, Cheyenne, Jackson Hole, WY Billings, MT - Durango, CO, Grand Junction, CO, Rifle, CO, Glenwood Springs, CO, Montrose, CO, etc. Participants complete a questionnaire regarding: - Their experience with telemedicine Demographics: age, zip code, # visits, type of visits Jackson Hole Casper Cheyenne Durango
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Patient Satisfaction Overall Satisfaction of Patients/Guardians
Table 3 demonstrates the means and standard deviation for patient satisfaction with effectiveness, efficiency and overall acceptability of care via telemedicine. Variable N Mean StdDev Min Max Overall Acceptability “Overall I felt comfortable using technology for visit “Technology easy to use for appointment” “Rating of ability to SEE and HEAR” Effectiveness “Confident it meets needs/would use again” “I will recommend its use to others” Efficiency “Compared to in person visit, reduced inconvenience of unnecessary travel” “Likely to reduce time missed from school and work” “Likely to reduce delays for next avail appointment”
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Decreased time off work/ school
Table 2. Estimated Patient Travel Costs and Cost Differences for Telemedicine-enabled service. CHCO=Children’s Hospital Colorado. PPSW=Pediatric Partners of the Southwest Average travel time (RT) for in person visit to Children’s Colorado in Denver 840 minutes Average Miles for in person visit to CHCO 348.27, SD 47.21, range: Round trip Miles for in person visit to CHCO prior to telemedicine availability Less than 20 Greater than 20 and less than 100 Greater than 100 and less than 200 Greater than 200 and less than 1,000 120 (100%) Average travel time (RT) for local travel for telemedicine visit at PPSW in Durango 70 minutes Average Miles for care via telemedicine PPSW 31, SD 46.92, range: 1 – 424 Round trip Miles to/from telemedicine enabled appointment in PPSW 45 (37.2%) 54 (44.6%) 14 (11.6%) (6.6%) Average time lost from work/school for traditional, in person clinic visit at CHCO 1.68 days Average time lost from work/school for telemedicine appointment 0.08 days Average family cost per in person visit to Children’s Colorado (wages, general travel expenses: mileage, hotel, food). $570.00 Total savings attributable to families for trips saved through telemedicine $94,555.26 Total time savings gained by families through telemedicine 270 days Total miles saved 107,237
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Access to care for rural pediatric subspecialty care patients is increased with telemedicine
Patient/ family satisfaction is high for telemedicine experience and most return for future visits Further study is needed to determine how telemedicine affects chronic disease control over time and if telemedicine can help to reduce the risk of complications and emergent care
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CHIP Telemedicine Clinic
Identification of a problem: Children’s Hospital Immunodeficiency (CHIP) Clinic – only clinic serving HIV positive children, adolescents, and pregnant women in the Rocky Mountain Region Service Large Geographic Area Largest population of CHIP clients - El Paso County CHIP reimburses cost for travel, meals overnight accommodations
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CHIP Telemedicine Clinic
Project Description: Collaboration Telemedicine Department Children’s Hospital Briargate Location located in El Paso County Clinic Scheduling Once monthly Patients successfully scheduled into the future
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CHIP Telemedicine CHIP Telemedicine Protocol Collaboration Training HIV Education Telehealth Equipment Clinic Work Flows Surveyed Before and After visits
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Procedures of Telemedicine Clinic
Patient arrives in Children’s Hospital Colorado Springs Briargate Location CHIP Staff logs in from Children’s Hospital Colorado in Aurora HIPAA-compliant, web-based, video platform Vital signs obtained by originating site Both sites able to access patient’s record in EPIC
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Procedures of CHIP Telemedicine
CHIP staff obtain history from patient and family Full physical exam Stethoscope can transmit sound to telehealth site Otoscope exam Vaccinations Lab Work Emla Cream
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Survey Results Question Pre- Visit (N=7) Post- Visit (N=7)
Fear of Technology 4/7 (57%) Disagree 1/7 ((14%) Strongly Disagree 2/7 (29%) Neutral 7/7 (100%) Agreed they would recommend to others in the future Previous Use of Telemedicine 0/7 (0%) NA Loss of Time from Work 1/7 (14%) Strongly Agree 3/7 (43%) Agree 3/7 (43%) Neutral or disagree – not working 7/7 (100%) Reduced inconvenience from travel Hours lost from work* 5.25 hours (0.5) X = 2.67 hours (0.94 ) Hours lost from school* 6 hours (1.01) X = hours (1.30) Money Spent on Travel* $ (7.86) X = $1.00 (4.47) Money Spent on Meals* $18.00 (9.27)
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CHIP Telemedicine Locations
Laramie, Wyoming Glenwood Springs, CO Partnered with local pediatricians Primary Care Providers Physician Champion in the region Future Sites Casper, Wyoming Nebraska
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Barriers to Implementing Telemedicine
Licensure Provider must be licensed in the state where the visit originates Regulations vary state to state Insurance Reimbursement Verify with family prior to the visit Site of Practice Agreement General inexperience with Telemedicine
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Legal Aspects of Telemedicine
American Telemedicine Association HIPPA Compliant Equipment Informed Consent School Based Health Centers – special considerations Patient Safety
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14-20% of children experience a behavioral health issue annually
The Clinical Utility of Telemedicine in Pediatric Mental Health Emergencies in the ED/UC Setting Background Pediatric mental health emergencies (MHE’s) represent an escalating segment of psychiatric emergency services (PES) 14-20% of children experience a behavioral health issue annually Pediatric Emergency Departments (ED) and Urgent Care (UC) sites are vital for initial stabilization of patients with MHEs in conjunction with evaluation and disposition by trained mental health specialists (MHS) A system that provides safe and timely evaluation of MHEs is challenging from a resource perspective, especially when patients present at multiple sites distant from MHS Telemedicine offers a synchronous consultation link between patients with MHEs and MHSs The combination of telemedicine-enabled behavioral health consultation is described as tele-behavioral health
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Objective Evaluate impact of telemedicine (tele-behavioral health) for evaluation of pediatric patients with MHEs at distant NOC ED/UC sites by a MHS at a central location within a CHCO system vs. traditional EMS transfer and in person evaluation at ACED Measures Evaluate differences in tele-behavioral health v. traditional evaluation Quality of care Transfer vs. discharge disposition from NOC location Length of Stay Patient, family and provider satisfaction with tele-behavioral health Economic efficiency Operational costs of establishing program Cost Comparisons
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Data Collection Data Analysis
Retrospective chart review from the hospital EMR (EPIC) evaluating Demographics Diagnosis(es) ED/UC arrival time and LOS Patient disposition Patient, family and provider satisfaction 10-item survey addressing efficiency, effectiveness and overall acceptability Encounter charges telemedicine operational costs (fixed and variable) to establish program ED/urgent care visit charges EMR transfer expenses hospital treatment charges physician charges Data Analysis Statistical analysis using SAS software, version 9.4(SAS Institute, Cary, NC, USA) Descriptive, multivariate and cost-effectiveness analyses (CEA)
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Telemedicine Mean (SD)
Results 494 patients enrolled Telemedicine Mean (SD) n = 232 Traditional Mean (SD) n = 268 p - val Age in years, M (SD) 1- 6 7-11 12-15 16 -19 13.1 (2.7) 5 (2.2%) (21.7%) (60.6%) 36 (15.6%) 13.3(2.5) 2 (0.8%) 50 (18.7%) 174 (65.2%) 41 (15.4%) .34 .45 Gender, N (%) Male Female 100 (43.1%) 132 (56.9%) 100 (37.3%) 168 (62.7%) .19 Race, N (%) Caucasian Other 179 (77.2%) 53 (22.8%) (69.0%) 83 (31.0%) .04 Insurance Status Private Public Self Pay/Uninsured Yes No 134 (57.8%) 91 (39.2%) 7 ( 3%) 152 (70.4%) 64 (29.6%) 127 (47.4%) 132 (49.3%) 9 ( 3.4%) 147 (59.5%) 100 (40.5%) .12 .015 Discharge Dianosis (es) N (%) Suicide intent with plan Self harm (no plan) Other – harm Depression/Anxiety Hallucination/Delusion Unknown 66 (28.5%) 94 (40.5%) 25 (10.8%) 33 (14.2%) 8 (3.5%) 6 (2.6%) 64 (23.9%) 124 (46.3%) 21 (7.8%) 40 (14.9%) 12 (2.6 %) 10 (3.7 %) .25 .20 .26 .82 .58 .47
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Results: Transfer Rate
Near 50 % decrease in need for patient transfer with telemedicine
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Results: Length of Stay
29% of telemedicine patients had a length of stay of less than 4 hours compared to 11.6% who received traditional care 29% vs 11.6%, p < .0001 75% of telemedicine patient had a length of stay of less than 8 hours 52% of traditional care patients had a length of stay of over 8 hours
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Results: Length of stay
The mean total time to disposition was significantly less for telemedicine patients 7 hours telemedicine vs hours for traditional care, p < .0001
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Results: Patient & Provider Satisfaction
Over 98% of patients, parents and providers were very to extremely satisfied with the tele-behavioral health program
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Results: Economic Efficiency
Median charges for the two groups were significantly different ($3,493 vs. $8,611, p<.001)
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Conclusions Tele-behavioral health can be used to provide pediatric specialty evaluations in a distant ED/UC setting and provide Lower cost compared to traditional care Improved outcomes: reducing both length of stay and transfer rate Excellent patient, family and providers satisfaction with the efficiency, effectiveness and overall acceptability of tele-enabled care While further research is required to assess the types of MHEs most suitable for pediatric tele-behavioral health, this improved process may represent the optimal modality for evaluating patients presenting with behavioral health issues in a distant ED/UC setting
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CoYoT1 Clinic – Colorado Young Adults with T1D
Young adults with type 1 diabetes Disconnected from care + poor diabetes outcomes Increased independence – focus on school, work, social life Barriers to diabetes care Limited research using technology to increase access and care CoYoT1 Clinic Designed to meet the medical care needs of young adults with T1D in a technology driven, group visit model Objective To investigate use of web-based video conferencing to increase access and reduce barriers to evidence-based diabetes care in young adults with T1D Meet them where they are…
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Methods CoYoT1 Clinic Individual appointment – MD/NP, ~30 minutes
Group session facilitated by CDE, ~30 minutes 4 patients per clinic Complete visit from home, work, school, or other location of their choosing HIPAA-compliant, web-based, video platform
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Methods Patient clinic prep Upload diabetes devices
Glucometer, insulin pump, continuous glucose monitor Complete hemoglobin A1C (HbA1c) and other labs Providing data received during regular clinic appointments
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Conclusions – CoYoT1 Clinic
CoYoT1 Clinic = potentially effective model to engage young adults with T1D in routine diabetes care High satisfaction using telemedicine technology for diabetes care and desire to complete online visit again May result in improved engagement in care Convenience and ease of completing clinic visits from home = 6 hours time saved Easier for young adults to fit diabetes clinic visits into busy lives 12 month evaluation (including control group) underway Assess if CoYoT1 Clinic increases access to diabetes care and improves glycemic control in this challenging population
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Overall Strategies for The Future
Models that focus on value-based payment systems Medicaid, other capitated contracts, payer incentive-based outcomes Expanding reimbursement and payment opportunities Build partnerships with community-based practices and hospitals Care is connected, streamlined, continuous, seamless and integrated Communication silos broken down – team approach, focus on transitions of care Develop “Models of Innovation” Implementing new and innovative models that define evidence-base, change payment models and inspire replication. Any-Time-Any-Place Access, “Hello, Dr….your patient will see you now!” Integrated, evidence-based, improved access, improved outcomes, affordable Truly less disruptive healthcare Develop grant proposals and conduct research Develop models and research that have meaningful impact on child health outcomes
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Patient-Centered Care, Right time, Right Place, Right Team
Parents/community Community-based Social Service Organizations eConsult Medical Devices Mobile Apps Automated Outreach School Nurse/School-based Clinic Advanced Analytics Telemedicine Primary Care Provider Remote monitoring ECHO myChart Children’s Hospital Colorado Care Everywhere
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ECHO Colorado ECHO – Extension For Community Health Care Outcomes
ECHO NM – experience and evidence that ECHO helped support specialty care delivery as effective as Univ clinic Support medical home model: Increasing access to subspecialty care in collaboration with primary care practices Builds capacity by increasing participants’ access to expert and peer knowledge. DE monopolization of knowledge re: best practices across the healthcare and public health workforce
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Rational Healthcare Delivery Spectrum Urgent / Ambulatory Care
In Person Care Telemedicine eConsult ECHO Relationship Specialist - Patient Specialist - PCP Specialist Team – PCP Cohort Cost $$$$ $$$ $$ $ Frequency 1-2 times per year as needed Platform In-Person Video-Conference Web-based Software Location Hospital or Clinic Primary Care, School or Home Anywhere Convenience Population Health Connection Force Multiplier Urgent / Ambulatory Care
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The Future is NOW How can you incorporate Telemedicine in your practice? What is the best way to REACH your patients? Are you interested in ECHO?
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References Olson, C. A., & Thomas, J. F. (2017). Telehealth: No Longer an Idea for the Future. Advances In Pediatrics, 64(1), doi: /j.yapd Melton, L., Brewer, B., Kolva, E., Joshi, T., & Bunch, M. (2017). Increasing access to care for young adults with cancer: Results of a quality-improvement project using a novel telemedicine approach to supportive group psychotherapy. Palliative & Supportive Care, 15(2), doi: /S Hilty, D. M., Shoemaker, E. Z., Myers, K., Snowdy, C. E., Yellowlees, P. M., & Yager, J. (2016). Need for and Steps Toward a Clinical Guideline for the Telemental Healthcare of Children and Adolescents. Journal Of Child And Adolescent Psychopharmacology, 26(3), doi: /cap McSwain S. David, Bernard Jordana, Burke Bryan L. Jr., Cole Stacey L., Dharmar Madan, Hall-Barrow Julie, Herendeen Neil, Herendeen Pamela, Krupinski Elizabeth A., Martin Amanda, McCafferty Dan, Mulligan Deborah Ann, North Steve, Ruschman Jennifer, Waller Morgan, Webster Kathleen, Williams Sherrie, Yamamoto Susan, and Yeager Brooke. Telemedicine and e-Health. August 2017, ahead of print. Raymond Jennifer K., Berget Cari L., Driscoll Kimberly A., Ketchum Kaitlin, Cain Cynthia, and “Fred” Thomas John F.. Diabetes Technology & Therapeutics. June 2016, 18(6):
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Questions? Suzanne Paul, BSN, MSN, FNP Nurse Practitioner CHIP Clinic
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