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Vision: Healthy Communities, Healthy People
2019 Uniform Data System TrendsPresentation
August 11, 2020
Data and Evaluation Division (DED)Office of Quality Improvement (OQI)Bureau of Primary Health Care (BPHC)
Opening Remarks
Alek Sripipatana, PhD, MPHDirector, Data and Evaluation DivisionOffice of Quality ImprovementBureau of Primary Health Care
2
National Health Center Week
3
Presenters
Dan DuplantierTeam LeadData Production Team
Molly PelzerManagement AnalystData Analytics Team
Josh Bolton, MSIEStatisticianData Analytics Team
Judy Van Alstyne, MPHPublic Health AnalystData Dissemination Team
4
Presentation Overview
AAG
END
• UDS Overview and Changes to the 2019 UDS Report• 2019 UDS Data Trends: Health Center Growth Patient Demographics Access to Care Clinical Quality Health Information Technology
• Resources• Questions and Discussion
5
The Uniform Data System (UDS)
• Standardized health center reporting system • Required by Section 330 of Public Health Service Act• Annual reports submitted by health centers by 2/15• Annual changes announced via PAL• UDS Manual provides reporting instructions
UDS is updated every year to: Reduce reporting burden Keep pace with the current
healthcare environment Reflect stakeholder feedback Ensure evaluation of bureau and
Departmental priorities
6
2019 UDS Reporting: Summary of Key ChangesTable 5 – Staffing and Utilization:
New column for “virtual visits” (e.g., telemedicine). Expanded detail for Personnel by Service Categories: Mental Health and
Substance Use DisorderTable 5A – Tenure for Staff:
Removed this table.Table 6B – Quality of Care Measures:
Replaced Coronary Artery Disease (CAD) measure (not an eCQM) with Statin Therapy for the Prevention and Treatment of Cardiovascular Disease (CMS347V2).
Appendix – Health Information Technology (HIT) Form: Revised questions to better understand HIT capabilities and use including
Social Determinants of HealthAppendix – Workforce:
Added Appendix F to understand health center involvement in health professional training and internal evaluation of staff satisfaction.
For full list of changes and table shells, see the Program Assistance Letter.
7
Health Center Program Growth
Number of health centers2017: 1,3732018: 1,3622019: 1,385
Access to care Comprehensive
service delivery Quality of Care
The patient population has increased by 5%,
from 28.4 million to 29.8 million.
The number of delivery sites increased by 9%,
from 11,744 to 12,785.
The total full time equivalents (FTEs)
increased by nearly 13%, adding over
29,000 FTE positions and supporting 252,868
clinical and support staff.
Source: Uniform Data System 2018 & 2019 – Table 3A, Health Center Site Information
8
Executive Summary: 2019 UDS Data
Increased Access to Care
+ 23 health centers for a total of 1,385
+ 1.46 million patients for a total of 29.8 million
+ 6.49 million visits for a total of 122.3 million
+ 16,717 full-time equivalents for a total of 252,868
Improved Delivery of
Comprehensive Services
+ 23 health centersproviding care across 3 or more comprehensive services+ 35 health centersproviding care across 4 or more comprehensive services+ 7 health centers providing care across 5 comprehensive services
Advanced Quality of Care
96% of health centers met or exceeded one or more national benchmarks*
89% of HCs improved in 5 or more Clinical Quality Measures
53% of HCs improved in 8 or more Clinical Quality Measures
Addressed Key Public Health
Issues
58% of health centers provided Medication-Assisted Treatment
+ 2,196 MAT eligible providers for a total of 7,095
+ 48,379 MAT patients for a total of 142,919
+ 126,430 patients with diabetes for a total of 2,521,656
Source: Uniform Data System, 2017-2019. * Healthy People (HP) 2020 available at https://www.healthypeople.gov/.
9
Patient Demographics
10
Patient Demographics: Age and Gender
Age 2018 2017
0 to 17 5.36% 9.65%
18 to 64 4.26% 8.22%
65 and over 10.11% 21.26%
Source: Uniform Data System 2017, 2018, 2019 – Table 3A
42.2
7%
42.3
5%
42.5
1%
57.7
3%
57.6
5%
57.4
9%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
100.00%
2017 2018 2019
Gender
Male Female
11
Patient Demographics: Federal Poverty GuidelineFederal Poverty Guideline (FPG)
69.15%
15.31%
7.01%8.52%
68.23%
15.54%
7.57%8.67%
67.97%
15.42%
7.67%
8.94%
0.00 M
5.00
10.00
15.00
Num
ber o
f Pat
ient
s
M
M
M
20.00 M
25.00 M
2017 2018 2019<=100% FPG 101-150% FPG 151-200% FPG Over 200% FPG
*Patients with Unknown FPG Status: 7.68 M (2017), 8.01 M (2018), 8.48 M (2019)
Source: Uniform Data System 2017, 2018, 2019 – Table 4
12
Patient Demographics: Insurance StatusInsurance Status: Percent and Number of Patients
6.22(22.88%)
M,
13.34 M,
13.74 M,(48.42%)
14.21 M,(47.61%)
(49.09%)
2.56 M,(9.40%)
2.74 M,(9.66%) 2.93
(9.81M,%)
0.27 M,
0.27 M,(0.95%)
0.27 M,
4(1
.79M,7.62%)
(1.01%)
1.04 M,(3.82%)
1.06 M,(3.74%)
M,3%)
1.13 M,(3.77%)
6(2
.42 M,2.62%)
6.78 M,(22.74%)
5.21 M,(18.35%)
(0.90%)
5.65(18.9
0.00 M
2.00 M
4.00 M
6.00 M
8.00 M
10.00 M
12.00 M
14.00 M
16.00 M
Uninsured Medicaid Medicare Total Public Private Dual Eligibles
Num
ber o
f Pat
ient
s
2017 2018 2019
Source: Uniform Data System 2017, 2018, 2019 – Table 4
13
Patient Demographics: Special PopulationsWe are seeing more and more patients in or around public housing.
3.47 M
4.41 M
5.17 M
0.97 M 1. M 1.03 M1.36 M 1.41 M 1.46 M
6.00 M
5.00 M
4.00 M
tsnetiaP 3.00 M
f Oreb 2.00 M
umN
1.00 M
0.00 MVeterans
0.36 M 0.39 M 0.40 M
Patients in or Around Public Housing Agricultural Workers Homeless
2017 2018 2019
Source: Uniform Data System 2017, 2018, 2019 – Table 4
14
Access to Care
15
Summary on Priorities: Access2018 to 2019
Substance Use Disorder• Increase (45.81%) in patients
receiving substance use disorder care and treatment: 223,390 to 325,732 (+102,342).
• Increase (22.27%) in providers offering treatment and care from 1,747.71 to 2,136.94 (+389).
• Increase (25.70%) in patients undergoing screening, brief intervention, and referral to treatment (SBIRT) from 1,099,001 to 1,381,408 in the same time.
Mental Health • Increase (14.75%) in mental health patients
from 2,249,876 to 2,581,706 (+331,830).• Likewise, increase (15.06%) in mental health
providers from 11,769.89 to 13,542.32 (+1,172).
HIV• Number of patients with
Symptomatic/Asymptomatic HIV increased from 191,717 to 196,218 (2.35% increase).
Source: Uniform Data System 2018, 2019 – Tables 5, 6A, 6B, 7
16
Substance Use Disorder ServicesThe proportion of health centers providing SUD services* increased by 13 percentage points from 2018 to 2019 to nearly 60%.
453,(32.99%)
640,(46.99%)
826,(59.64%)
0
100
200
300
400
500
600
700
800
900
2017 2018 2019
Num
ber o
f Hea
lth C
ente
rs
*Proportion determined by health centers reporting serving more than one SUD patientSource: Uniform Data System 2017, 2018, 2019 – Table 5
17
Medication Assisted Treatment (MAT)National Trends in MAT: Patients, Providers, & Visits
There are strong upward trends in patients receiving MAT, providers eligible to prescribe MAT, and health centers providing MAT.
64,597
94,540
142,919↑121%
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
Patients receiving MAT
2017 2018 2019
Patie
nts
Patients receiving MAT
2,973
↑139%
4,899
7,095
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
Prov
ider
s
Providers* eligible to prescribe MAT
2017 2018 2019
472
621
803
0
100
200
300
400
500
600
700
800
900
Heal
th C
ente
rs
Health centers providing MAT toPatients
Health centers providing MAT to Patients
2017 2018 2019
↑70%
*Definition of MAT providers expanded to include physician assistants & certified nurse practitioners in 2017.Source: Uniform Data System 2017, 2018, 2019 – Table ODE
18
Personnel by Major Service Category: Mental Health ServiceNurse practitioners are most likely to conduct virtual visits for mental health.
Source: Uniform Data System 2019 - Table 5
57.33%
48.67% 48.38%
30.67%
38.59%
84.99%
38.32%
9.86%
2.14%
12.31%
0.43%6.54%
0.01%
12.82%
0.48%
8.46%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
Physicians (other than Psychiatrists) Nurse Practitioners Physician Assistants Certified Nurse Midwives
Personnel Clinical Visits Virtual Visits Patients
19
Personnel by Major Service Category: Substance Use Disorder
Psychiatrists are most likely to conduct virtual visits for substance use disorder.
Physicians (otherthan
Psychiatrists)
NursePractitioners
(Medical)
PhysicianAssistants
Certified NurseMidwives Psychiatrists Licensed Clinical
PsychologistsLicensed ClinicalSocial Workers
Other LicensedMental Health
ProvidersPersonnel 43.04% 24.31% 8.12% 1.70% 3.42% 2.33% 9.20% 7.89%Clinical Visits 35.40% 26.93% 8.51% 0.51% 5.18% 2.22% 10.87% 10.38%Virtual Visits 5.92% 10.54% 0.33% 0.01% 51.50% 0.54% 12.43% 18.73%Patients 37.02% 32.41% 11.04% 0.65% 4.04% 1.61% 6.92% 6.32%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
Personnel Clinical Visits Virtual Visits Patients
Source: Uniform Data System 2019 – Table 5
20
Training and Workforce Development• 960 (69.31%) of health centers reported
health professional education/training in 2019 (does not include continuing education credits).
• 13.23% reported being sponsors, 73.95% reported being training site partners, and 12.81% reported “other”.
26734
61771936 37404885 6722
1068
11062 8658
8264808
585 241
42083
68817
0
10000
20000
30000
40000
50000
60000
70000
80000
Medical Dental MH and SUD Vision Other Professionals
Pre-Grad Post-Grad Total
Note: Data first available in 2019 UDS, stable baseline has not yet been establishedSource: Uniform Data System 2019 – Table Workforce
21
Clinical Quality
22
Summary of Priorities: Quality2018 to 2019
Depression• Increase (1.04%) in patients screened
for Depression and with a Follow-up Plan Documented from 70.57% to 71.61%.
HIV• Patients screened for HIV Linkage to Care
increased from 85.55 % to 87.21% (1.66%increase).
Obesity• Child and adolescent BMI and follow-up:
Screening increased from 69.16% to 71.21% (2.05% increase)
• Adult Weight screening increased from 70.16 % to 72.43% (2.28% increase).
Diabetes: Hemoglobin A1c Poor Control (HbA1c > 9%)• All racial/ethnic groups all decreased rates of
uncontrolled diabetes: national average decreased from 32.79% to 31.95%.
Source: Uniform Data System 2018, 2019 – Tables 5, 6A, 6B, 7
23
Comparison to National Benchmarksnote – see slide 26 for 508 compliant version
Percentages indicate amount above (+) or below (-) national benchmark comparisons
Child/Adolescent BMI & Follow-up
Adult BMI & Follow-up
Childhood Immunization
Tobacco Screening &
Cessation
Asthma & MedsIschemic Vascular
Disease: Therapy
Colorectal Screening
Cervical Screening
Treatment of Cardiovascular
Disease
Early Entry into Prenatal Care
Low Birth Weight*
Hypertension Control
Uncontrolled Diabetes*
Depression Screening
HIV Linkage to Care Dental Sealants
+5.72%
-21.44% -27.97%
+13.60%
+22.95%
+9.21%-9.25%
-3.29% -0.15%%
*Indicates outperforming National Benchmarks*Indicates underperforming National Benchmarks
Source: Uniform Data System 2018, 2019 - Tables 6B, 7
* Uncontrolled Diabetes and Low Birth Weight are inverse measures – performance improves as percentages decrease.
†
*Indicates no available National Benchmarks to Compare
-0.91%
† indicates a change in operational definition due to CMS e-CQM alignment 2019.
24
Comparison to National Benchmarks(508 compliant version of slide 25)
Percentages indicate amount above (+) or below (-) national benchmark comparisonsOutperforming National Benchmarks• Asthma & Meds
(+22.95%)• Low Birth Weight* (-
0.15%)• Hypertension Control
(+5.72%)• Uncontrolled Diabetes* (-
9.25%)• HIV Linkage to Care
(+9.21%)• Dental Sealants
(+13.60%)
Underperforming National Benchmarks• Colorectal Screening (-
21.44%)• Cervical Screening (-
27.97%)• Treatment of
Cardiovascular Disease (-0.91%) †
• Early Entry into Prenatal Care (-3.29%)
No Benchmarks to Compare• Child/Adolescent BMI &
Follow-up• Adult BMI & Follow-up• Childhood Immunization• Tobacco Screening &
Cessation• Ischemic Vascular
Disease: Therapy• Depression Screening
* Uncontrolled Diabetes and Low Birth Weight are inverse measures – performance improves as percentages decrease.† indicates a change in operational definition due to CMS e-CQM alignment 2019.Source: Uniform Data System 2018, 2019 - Tables 6B, 7
25
Year-Over-Year Performance (2018-2019)note – see slide 28 for 508 compliant version
Changes in Clinical Quality Measures: Alignment and Performance
* Uncontrolled Diabetes and Low Birth Weight are inverse measures – performance improves as percentages decrease.
Source: Uniform Data System 2018, 2019 – Tables 6B, 7 26
Child/Adolescent BMI & Follow-up
Adult BMI & Follow-up
Childhood Immunization
Tobacco Screening &
Cessation
Asthma & MedsIschemic Vascular
Disease: Therapy
Colorectal Screening
Cervical Screening
Treatment of Cardiovascular
Disease
Early Entry into Prenatal Care
Low Birth Weight*
Hypertension Control
Uncontrolled Diabetes*
Depression Screening
HIV Linkage to Care Dental Sealants
+1.36%
+1.45%
+1.04%
+0.58%
+0.31%%
+4.00%
-0.63% -0.08%%
+1.67%-0.84%
-0.92%%
+2.28%
-0.01% -0.05%%
+2.05%
*Indicates increase in performance since 2018
*Indicates decrease in performance since 2018*Indicates definition has changed since 2018
Year-Over-Year Performance (2018-2019)(508 compliant version of slide 27)
Changes in Clinical Quality Measures: Alignment and Performance
• Increase in Performance Child/Adolescent BMI & Follow-up
(+2.05%) Adult BMI & Follow-up (+2.28%) Childhood Immunization (+0.31%) Colorectal Screening (+1.45%) Cervical Screening (+0.58%) Low Birth Weight * (-0.05%) Hypertension Control (+1.36%) Uncontrolled Diabetes * (-0.84%) Depression Screening (+1.04) HIV Linkage to Care (+1.67%) Dental Sealants (+4.00%)
• Decrease in Performance Tobacco Screening & Cessation (-
0.92%) Asthma & Meds (-0.63%) Ischemic Vascular Disease:
Therapy )-0.08%) Early Entry to Prenatal Care (-
0.01%)
• Definition has Changed Treatment of Cardiovascular
Disease
* Uncontrolled Diabetes and Low Birth Weight are inverse measures – performance improves as percentages decrease.
Source: Uniform Data System 2018, 2019 - Tables 6B, 7
27
National Quality Leader: Behavioral HealthThere are consistent upward trends in the amount of patients
receiving SBIRT, MAT, and depression screenings with follow-up plans.
0.46 M(1.88%)
0.72 M(2.77%)
1.02 M(3.74%)
1.10 M(3.87%)
1.38 M(4.63%)
-
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
HRSA Health Center Program Patients who received SBIRT
2015
2016
2017
2018
2019
64,597
94,540
142,919
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
Patients receiving MAT
2017 2018 2019Pa
tient
s
66.15
70.57 71.61
40
50
60
70
80 CMS2v8 - Screening for Depression and Follow-Up Plan
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
Source: Uniform Data System 2017, 2018, 2019 – Tables 6A, 6B, 7 28
National Quality Leader: Heart Disease
Source: Uniform Data System 2017, 2018, 2019 –Tables 6A, 6B, 7
NationalBenchmark
87.50 88.09 87.17
60
65
70
75
80
85
90
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS138v7 - Tobacco Use: Screening & Cessation Intervention*
79.278080.86 80.78
50
60
70
90
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS164v7 - Ischemic Vascular Disease: Use of Aspirin or another
Antiplatelet ‡
62.7163.26
64.62
55
57
59
61
63
65
67
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS165v7 - Controlling High Blood Pressure*
* indicates a change in operational definition due to CMS e-CQM alignment 2017.‡ indicates a change in operational definition due to CMS e-CQM alignment 2018.
Source: Uniform Data System 2017, 2018, 2019 – Tables 6A, 6B, 7 29
National Quality Leader: Heart Disease, cont.
Source: Uniform Data System 2017, 2018, 2019 – Tables 6A, 6B, 7
30
87.5
79.27
62.71 63.26 64.62
88.09
80.86
87.17
80.78
70.09
0
10
20
30
40
50
60
70
80
90
100
Tobacco Use: Screening & CessationIntervention
Ischemic Vascular Disease: Use of Aspirin oranother Antiplatelet
Controlling High Blood Pressure Statin Therapy for the Prevention andTreatment of Cardiovascular Disease
2017 2018 2019
Behavioral Health (BH) NationalBenchmark
2017-2019 Trend Analyses
87.50 88.09 87.17
60
65
70
75
80
85
90
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS138v7 - Tobacco Use: Screening & Cessation Intervention*†
66.15
70.57 71.610
40
50
60
7
80
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS2v8 - Screening for Depression and Follow-Up Plan
* indicates a change in operational definition due to CMS e-CQM alignment 2017.† indicates a change in operational definition due to CMS e-CQM alignment 2018.
Source: Uniform Data System 2017, 2018, 2019 – Table 6B 31
Chronic Diseases2017-2019 Trend Analyses
NationalBenchmarkNational
Benchmark
We continue to make progress in combatting chronic diseases.
63.85
70.15
72.43
58
60
62
64
66
68
70
72
74
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS69v7 - Body Mass Index (BMI) Screening and Follow-Up
Plan ‡
65.85
69.16
71.21
63
64
65
66
67
68
69
70
71
72
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS155v7 - Weight Assessment and Counseling for Nutrition and Physical Activity for: Children and Adolescents ‡
32.95 32.79 31.95
0
10
20
30
40
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS122v7 – Poor Control Diabetes Hemoglobin A1c
(HbA1c > 9%)*(Inverse measure)
62.7163.26
64.62
55
57
59
61
63
65
67
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS165v7 - Controlling High Blood Pressure*
* indicates a change in operational definition due to CMS e-CQM alignment 2017.‡ indicates a change in operational definition due to CMS e-CQM alignment 2018.
Source: Uniform Data System 2017, 2018, 2019 – Tables 6B, 7 32
Cancer Screening NationalBenchmark
2017-2019 Trend Analyses
There is a slight upward trend in cancer screenings, but we still have work to do in order to meet national benchmarks.
42.02 44.11 45.57
0
10
20
30
40
50
60
70
80
90
100
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS130v7 - Colorectal Cancer Screening * ‡
55.67 55.95 56.53
0
10
20
30
40
50
60
70
80
90
100
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS124v7 - Cervical Cancer Screening ‡
* indicates a change in operational definition due to CMS e-CQM alignment 2017.‡ indicates a change in operational definition due to CMS e-CQM alignment 2018.
Source: Uniform Data System 2017, 2018, 2019 – Table 6B 33
Maternal, Child, and Adolescent HealthNational
Benchmark
2017-2019 Trend Analyses
73.97 73.82 73.81
67
69
71
73
75
77
79
81
83
85
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
Early Entry into Prenatal Care
8.038.00
8.05
7.6
7.7
7.8
7.9
8
8.1
8.2
8.3
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
Low Birth Weight(Inverse measure)
40.2439.44 39.75
30
32
34
36
38
40
42
44
2017 2018 2019
Perc
enta
ge o
f Pat
ient
s
CMS117v7 - Childhood Immunization ‡
‡ indicates a change in operational definition due to CMS e-CQM alignment 2018.
Source: Uniform Data System 2017, 2018, 2019 – Tables 6B, 7 34
Patient-Centered Medical Home (PCMH)National Patient-Centered Medical Home (PCMH) Recognition in Health Centers
(78% as of July 01, 2020 with 1079/1376 Health Centers)
Pacific Island Territories• American Samoa 0%• Fed States of Micronesia 0%• Guam 100%• Marshall Islands 0%• Northern Mariana Islands 100%• Palau 0%• Virgin Islands 0%
Recognition:
Source: Accreditation and Patient Centered Medical Home Report, EHB
35
Summary of Priorities: Cost2018 to 2019
Cost Per Patient• Total cost per patient increased (5.48%) from $990.17 to $1,044.40 ($54.23). • Medical cost per medical patient increased (3.83%) from $623.22 to $647.11 ($23.89).• BPHC Grant Dollars per Patient decreased (-1.47%) from $170.17 to $167.67 (-$2.50).
Total Funding & Costs• Total BPHC grants increased (3.59%) from $4.83B to $5.00B ($173.50M)• Total accrued costs increased (10.89%) from $28.10B to $31.16B ($3.06B)
Source: Uniform Data System 2018, 2019 – Tables 5, 6A, 6B, 7
36
Health Information Technology
37
Health Centers Offering Telehealth ServicesIn 2019, 42.74% (592) of all health centers provided telehealth services, a slight decrease from 43.03% in 2018. It will be interesting to see how this changes in 2020.
165
446
35
11189
192
61
10 28
89
2852
0
50
100
150
200
250
300
350
400
450
500
2019
Primary Care Services Mental Health Sevices Oral Health Services
Chronic Conditions Other Substance Use Disorder
Dermatology Disaster Management Consumer and Professional Health Education
Provider-to-provider consultation Radiology Nutrition and dietary counseling
Source: Uniform Data System 2019 – Table ODE
38
Visit TypeVirtual visits made up less than 0.4% of all visits. There were approximately 255 in-person visits (122,303,749) for every virtual visit (478,333) in 2019.
130,126
4,855
247,297
6,724 2,178
84,542
478,333
0
100,000
200,000
300,000
400,000
500,000
600,000
Medical Dental Mental Health Substance UseDisorder
Vision Enabling Total Visits
2019 Virtual Visits
Source: Uniform Data System 2019 – Table 5
39
Capacity for Virtual VisitsMental health is the most common category of care provided virtually by health centers.
15.31%
1.08%
28.74%
5.27%
0.43%
3.47%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
2019
Percentage of Health Centers Providing Virtual Visits
Medical Dental Mental Health Substance Use Disorder Vision Enabling
Numerator-Number of Health Centers with Virtual Visits > 0Denominator- Total Number of Health Centers in 2019
Source: Uniform Data System 2019 – Table 5 40
Health Centers Offering Telehealth Services: 2017 – 2019
• Health centers offering mental health services through Telehealth continue to increase.
• Telehealth offerings shift as health centers determine how to best utilize virtual visits.
125164174165
315
401446
37 47 35
147 140124 110 132
6717
8961
10 28
89
2852
11189
192
050
100150200250300350400450500
Num
ber o
f Hea
lth C
ente
rs
2017 2018 2019
Note: Provider consultation, radiology, and nutrition/dietary counseling categories first available in 2019
Source: Uniform Data System 2017, 2018 – HIT; 2019 – ODE 41
Percentage of Health Centers Offering Telehealth Services
Source: Uniform Data System 2019 – HIT 42
Utilization of EHR for Beyond Direct Patient Care
98.70%
83.61%78.34%
25.70%
3.25% 0.58%0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
100.00%
Quality Improvement Population healthmanagement
Program evaluation Research Other Not used for beyonddirect patient care
HIT/EHR Use (% of HCs)
HIT/EHR Use (% of HCs)
A large percentage of health centers are using EHR to
benefit patients in ways other than direct patient care.
Source: Uniform Data System 2019 – HIT 43
Standardized Screening for Social Risk Factors
37.98%
34.51%
19.28%
9.46%
6.57%
6.06%
0.87%
0.72%
0.51%
Non-Standardized Screener
PRAPARE
Other
Recommended Social and Behavioral Domains for EHRs
Accountable Health Communities Screening Tools
WE CARE
Upstream Risks Screening Tool and Guide
WellRx
iHELP
• 979 (70.69%) of health centers report using HIT or their EHR to collect data on individual patient’s social risk factors.
• Of the 406 health centers currently not collecting social risk factors, 316 report plans to collect risk factors in the future.
Source: Uniform Data System 2019 – HIT
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Resources
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2019 UDS: Web Display BPHC Webpage > Data and Reporting Tab/Tile
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2019 UDS: National Report Example
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2019 UDS: Accessing the Data BPHC Webpage > Data and Reporting Tab/Tile
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ResourcesUDS Resources Webpage • Includes the 2020 UDS Manual and archived technical assistance
UDS Modernization Initiative Page• Information Reporting Enhancements and UDS Test Collaborative
UDS Training Website• Comprehensive site for UDS training and technical assistance
UDS Mapper • Depicts Health Center Program geography and supports service area analyses
Health Center Program Support • Phone: 877-464-4772 or Email contact form
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Upcoming DED Events
2020 UDS TA Webinars FY2020 Quality Improvement Awards TA webinar (September 3, 2020) 2020 UDS Preliminary Reporting Environment (PRE) webinar (Fall 2020) 2020 UDS Reporting Special Topic Training webinars (Fall 2020)
DED Speaker Series Webinars Social Determinants of Health and Service Utilization (August 25, 2020) Health Center Program Financial Analysis Research (September 17, 2020)
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Questions?
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Thank You!
Data and Evaluation Division (DED)Office of Quality Improvement (OQI)Bureau of Primary Health Care (BPHC)Health Resources and Services Administration (HRSA)
bphc.hrsa.gov
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Learn more about our agency at: www.HRSA.gov
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